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CoRR, October 2018
- Minjia Shi, Denis S. Krotov, Patrick Solé:
A new approach to the Kasami codes of type 2. - Washington Garcia, Joseph I. Choi, Suman Kalyan Adari, Somesh Jha, Kevin R. B. Butler:
Explainable Black-Box Attacks Against Model-based Authentication. - Anthony C. Fletcher, Cameron Mura
:
Ten Simple Rules for Using a Raspberry Pi. - Aniket Bera, Tanmay Randhavane, Emily Kubin, Husam Shaik, Kurt Gray, Dinesh Manocha:
Data-Driven Modeling of Group Entitativity in Virtual Environments. - Eduardo Sany Laber, Lucas Murtinho:
Minimization of Gini impurity via connections with the k-means problem. - Alejandro Noriega-Campero, Michiel A. Bakker, Bernardo Garcia-Bulle, Alex Pentland:
Active Fairness in Algorithmic Decision Making. - Mo Dong, Qingkai Liang, Xiaozhou Li, Junda Liu:
Celer Network: Bring Internet Scale to Every Blockchain. - Francesco Calimeri, Carmine Dodaro, Davide Fuscà, Simona Perri, Jessica Zangari:
Efficiently Coupling the I-DLV Grounder with ASP Solvers. - Ali Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller, Sara A. Solla:
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces. - Mohamed K. Helwa, Adrian Esser, Angela P. Schoellig:
Estimation-Based Model Predictive Control for Automatic Crosswind Stabilization of Hybrid Aerial Vehicles. - Chun-Ming Yuan, Zhi-Yong Zhang:
New bounds and efficient algorithm for sparse difference resultant. - Roshan Shariff, Or Sheffet:
Differentially Private Contextual Linear Bandits. - Anirban Chakraborty, Manaar Alam
Adversarial Attacks and Defences: A Survey. - David Y. Zeng, Jamil Shaikh, Dwight G. Nishimura, Shreyas S. Vasanawala, Joseph Y. Cheng:
Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones. - Eugenio Alcalá, Vicenç Puig, Joseba Quevedo:
TS-MPC for Autonomous Vehicles including a dynamic TS-MHE-UIO. - Ciprian Amariei, Paul Diac, Emanuel Onica, Valentin Rosca:
Cell Grid Architecture for Maritime Route Prediction on AIS Data Streams. - Kun Wan, Boyuan Feng, Lingwei Xie, Yufei Ding:
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. - Mohamadreza Ahmadi, Murat Cubuktepe, Nils Jansen, Sebastian Junges, Joost-Pieter Katoen, Ufuk Topcu:
The Partially Observable Games We Play for Cyber Deception. - Mohamadreza Ahmadi, Bo Wu, Yuxin Chen, Yisong Yue, Ufuk Topcu:
Barrier Certificates for Assured Machine Teaching. - Valentin Rosca, Emanuel Onica, Paul Diac, Ciprian Amariei:
Predicting Destinations by Nearest Neighbor Search on Training Vessel Routes. - Bo Wu, Mohamadreza Ahmadi, Suda Bharadwaj, Ufuk Topcu:
Cost-Bounded Active Classification Using Partially Observable Markov Decision Processes. - Mohammadreza Ghanavati, Diego Costa, Janos Seboek, David Lo, Artur Andrzejak:
Memory and Resource Leak Defects and their Repairs in Java Projects. - Arnaud Casteigts, Joseph G. Peters, Jason Schoeters:
Temporal Cliques Admit Sparse Spanners. - Peter M. R. Rasmussen, Amit Sahai:
Expander Graphs are Non-Malleable Codes. - Celong Liu, Xin Li:
Superimposition-guided Facial Reconstruction from Skull. - Stavros Petridis, Themos Stafylakis, Pingchuan Ma, Georgios Tzimiropoulos, Maja Pantic:
Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture. - Karl Ridgeway, Michael C. Mozer:
Open-Ended Content-Style Recombination Via Leakage Filtering. - Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images. - Hossein Kashiani, Shahriar B. Shokouhi:
Visual Object Tracking based on Adaptive Siamese and Motion Estimation Network. - Yongqiang Cai, Qianxiao Li, Zuowei Shen:
On the Convergence and Robustness of Batch Normalization. - Jesse Farebrother, Marlos C. Machado, Michael Bowling:
Generalization and Regularization in DQN. - He Jiang, Xiaochen Li, Zhilei Ren, Jifeng Xuan, Zhi Jin:
Towards Better Summarizing Bug Reports with Crowdsourcing Elicited Attributes. - Jacky C. K. Chow, Ivan Detchev, Kathleen Ang, Kristian Morin, Karthik Mahadevan, Nicholas Louie:
Robot Vision: Calibration of Wide-Angle Lens Cameras Using Collinearity Condition and K-Nearest Neighbour Regression. - Gerhard W. Dueck, Anirban Pathak, Md. Mazder Rahman, Abhishek Shukla, Anindita Banerjee:
Optimization of Circuits for IBM's five-qubit Quantum Computers. - Carlos Laufer, Daniel Schwabe:
A Framework to Support the Trust Process in News and Social Media. - Ghasem Pasandi, Massoud Pedram:
A Graph Partitioning Algorithm with Application in Synthesizing Single Flux Quantum Logic Circuits. - S. Rasoul Etesami:
A Simple Framework for Stability Analysis of State-Dependent Networks of Heterogeneous Agents. - Yash Bhalgat:
FusedLSTM: Fusing frame-level and video-level features for Content-based Video Relevance Prediction. - Guangming Shi, Zhongqiang Zhang, Dahua Gao, Xuemei Xie, Yihao Feng, Xinrui Ma, Danhua Liu:
Knowledge-guided Semantic Computing Network. - Guru Subramani, Michael R. Zinn, Michael Gleicher:
Inferring geometric constraints in human demonstrations. - Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu:
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods. - Fuxun Yu, Chenchen Liu, Yanzhi Wang, Liang Zhao, Xiang Chen:
Interpreting Adversarial Robustness: A View from Decision Surface in Input Space. - Hejia Zhang, Eric Heiden, Ryan Julian, Zhangpeng He, Joseph J. Lim, Gaurav S. Sukhatme:
Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation. - Tianmin Shu, Yuandong Tian:
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning. - Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang:
Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning. - Jun Jin, Laura Petrich, Masood Dehghan, Zichen Zhang, Martin Jägersand:
Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach. - Eugene Goldberg:
Quantifier Elimination With Structural Learning. - Aoyu Wu, Bon Kyung Ku, Furui Cheng, Xinhuan Shu, Abishek Puri, Yifang Wang, Huamin Qu:
Pulse: Toward a Smart Campus by Communicating Real-time Wi-Fi Access Data. - Chaim Baskin, Natan Liss, Yoav Chai, Evgenii Zheltonozhskii, Eli Schwartz, Raja Giryes, Avi Mendelson, Alexander M. Bronstein:
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization. - Mohammad Noormohammadpour, Ajitesh Srivastava, Cauligi S. Raghavendra:
On Minimizing the Completion Times of Long Flows over Inter-Datacenter WAN. - Takuya Hiraoka, Takashi Onishi, Takahisa Imagawa, Yoshimasa Tsuruoka:
Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients. - Daniele Santoro, Daniel Zozin, Daniele Pizzolli, Francesco De Pellegrini, Silvio Cretti:
Foggy: A Platform for Workload Orchestration in a Fog Computing Environment. - Ravi Tej Akella, Raviteja Rekula, Vinod Pankajakshan:
A Randomized Kernel-Based Secret Image Sharing Scheme. - Zhiyong Sun
Collaborative target-tracking control using multiple autonomous fixed-wing UAVs with constant speeds: Theory and experiments. - Alun D. Preece, Dan Harborne, Dave Braines, Richard Tomsett, Supriyo Chakraborty:
Stakeholders in Explainable AI. - Simone Silvestri, Rene Pecnik:
A fast GPU Monte Carlo Radiative Heat Transfer Implementation for Coupling with Direct Numerical Simulation. - Kamran Keykhosravi, Houman Rastegarfar, Nasser Peyghambarian, Erik Agrell:
Exploiting AWG Free Spectral Range Periodicity in Distributed Multicast Architectures. - Rui Zhu, Tao Shu, Huirong Fu:
Statistical Inference Attack Against PHY-layer Key Extraction and Countermeasures. - Ke Sun, Vijay Kumar:
Stochastic 2-D Motion Planning with a POMDP Framework. - Yongyi Tang, Xing Zhang, Jingwen Wang, Shaoxiang Chen, Lin Ma, Yu-Gang Jiang:
Non-local NetVLAD Encoding for Video Classification. - Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Ross Anderson:
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression. - Nikhil Chavan Dafle, Rachel M. Holladay, Alberto Rodriguez:
In-Hand Manipulation via Motion Cones. - Adrien Bitton, Philippe Esling, Axel Chemla-Romeu-Santos:
Modulated Variational auto-Encoders for many-to-many musical timbre transfer. - Tamir Bendory, Nicolas Boumal, William E. Leeb, Eitan Levin, Amit Singer:
Toward single particle reconstruction without particle picking: Breaking the detection limit. - Pratishtha Shukla, Aranya Chakrabortty, Alexandra Duel-Hallen:
A Cyber-Security Investment Game for Networked Control Systems. - Faisal Mahmood, Daniel Borders, Richard Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr:
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. - Giovanni Interdonato, Marcus Karlsson, Emil Björnson, Erik G. Larsson:
Downlink Spectral Efficiency of Cell-Free Massive MIMO with Full-Pilot Zero-Forcing. - Nicolas Pröllochs, Stefan Feuerriegel:
Reinforcement Learning in R. - Kinga Skorupska, Manuel Núñez, Wieslaw Kopec, Radoslaw Nielek:
Older Adults and Crowdsourcing: Android TV App for Evaluating TEDx Subtitle Quality. - Bartlomiej Bosek, Tomasz Krawczyk:
On-line partitioning of width w posets into w^O(log log w) chains. - Farzad Eskandanian, Bamshad Mobasher:
Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks. - Dinh-Thuan Do, Mojtaba Vaezi, Thanh-Luan Nguyen
Wireless Powered Cooperative Relaying using NOMA with Imperfect CSI. - Pawel Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, Milica Gasic:
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling. - Ruben Recabarren, Bogdan Carbunar:
Tithonus: A Bitcoin Based Censorship Resilient System. - Quanyan Zhu, Stefan Rass, Peter Schartner:
Community-Based Security for the Internet of Things. - Quanyan Zhu:
Multi-Layer Cyber-Physical Security and Resilience for Smart Grid. - Quanyan Zhu:
Cyber Insurance. - Lei Yu, Vincent Y. F. Tan:
On Exact and ∞-Rényi Common Informations. - Photios A. Stavrou, Jan Østergaard, Charalambos D. Charalambous:
Zero-Delay Rate Distortion via Filtering for Vector-Valued Gaussian Sources. - Simon Alford, Ryan A. Robinett, Lauren Milechin, Jeremy Kepner:
Pruned and Structurally Sparse Neural Networks. - Min Chen, Yiming Miao, Xin Jian, Xiaofei Wang, Iztok Humar:
Cognitive-LPWAN: Towards Intelligent Wireless Services in Hybrid Low Power Wide Area Networks. - Shanshan Wang, Ziwen Ke, Huitao Cheng, Sen Jia, Leslie Ying, Hairong Zheng, Dong Liang:
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training. - Zichuan Liu, Guosheng Lin, Wang Ling Goh, Fayao Liu, Chunhua Shen, Xiaokang Yang:
Correlation Propagation Networks for Scene Text Detection. - Cheol-Ho Hong, Blesson Varghese:
Resource Management in Fog/Edge Computing: A Survey. - Sangkug Lym, Armand Behroozi, Wei Wen, Ge Li, Yongkee Kwon, Mattan Erez:
Mini-batch Serialization: CNN Training with Inter-layer Data Reuse. - Mohamed El Amine Elforaici, Ismail Chaaraoui, Wassim Bouachir, Youssef Ouakrim, Neila Mezghani:
Posture recognition using an RGB-D camera : exploring 3D body modeling and deep learning approaches. - He Yin, Andrew K. Packard, Murat Arcak, Peter J. Seiler:
Finite Horizon Backward Reachability Analysis and Control Synthesis for Uncertain Nonlinear Systems. - Saikat Chakraborty, Miltiadis Allamanis, Baishakhi Ray:
Tree2Tree Neural Translation Model for Learning Source Code Changes. - Toshihide Tadenuma, Masaki Ogura, Kenji Sugimoto:
Sampled-Data State Observation over Lossy Networks under Round-Robin Scheduling. - Seong Joon Oh, Kevin Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher:
Modeling Uncertainty with Hedged Instance Embedding. - Micha Feigin, Daniel Freedman, Brian W. Anthony:
A Deep learning framework for Single sided sound speed inversion in medical ultrasound. - Walid S. Saba:
On the Winograd Schema Challenge: Levels of Language Understanding and the Phenomenon of the Missing Text. - Wahyudi, Masayu Leylia Khodra, Ary Setijadi Prihatmanto, Carmadi Machbub:
Using Graph-Pattern Association Rules On Yago Knowledge Base. - Amirhossein Dadashzadeh, Alireza Tavakoli Targhi:
Multi-Level Contextual Network for Biomedical Image Segmentation. - Vasco Lopes
An Overview of Blockchain Integration with Robotics and Artificial Intelligence. - Albert Gatt
Specificity measures and reference. - Xinyun Chen, Yuandong Tian:
Learning to Progressively Plan. - Shaohan Huang, Yu Wu, Furu Wei, Ming Zhou:
Text Morphing. - Yuhu Shan, Wen Feng Lu, Chee-Meng Chew:
Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving. - Xiaoxiao Yin, Daqi Zheng, Zhengdong Lu, Ruifang Liu:
Neural Entity Reasoner for Global Consistency in NER. - Kazim Rifat Özyilmaz, Mehmet Dogan, Arda Yurdakul:
IDMoB: IoT Data Marketplace on Blockchain. - Tingxiang Fan, Xinjing Cheng, Jia Pan, Pinxin Long, Wenxi Liu, Ruigang Yang, Dinesh Manocha:
Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds. - Rui Li, Chaoyun Zhang, Paul Patras, Pan Cao, John S. Thompson:
DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls. - Christian R. G. Dreher, Nicklas Kulp, Christian Mandery, Mirko Wächter, Tamim Asfour:
A Framework for Evaluating Motion Segmentation Algorithms. - Joni Salminen, Bernard J. Jansen:
Use Cases and Outlooks for Automatic Analytics. - Dawood Al Chanti, Alice Caplier:
Improving Bag-of-Visual-Words Towards Effective Facial Expressive Image Classification. - Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer:
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning. - Dawood Al Chanti, Alice Caplier:
Spontaneous Facial Expression Recognition using Sparse Representation. - Reuben Cohn-Gordon, Noah D. Goodman, Christopher Potts:
An Incremental Iterated Response Model of Pragmatics. - Marcello De Bernardi, M. H. R. Khouzani, Pasquale Malacaria:
Pseudo-Random Number Generation using Generative Adversarial Networks. - Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu:
Privacy-preserving Stochastic Gradual Learning. - Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy:
Manifold Alignment with Feature Correspondence. - Ágnes Cseh, Attila Juhos:
Pairwise preferences in the stable marriage problem. - Jesse Johnson:
Deep, Skinny Neural Networks are not Universal Approximators. - Roman Khudorozhkov, Dmitry Podvyaznikov:
Benchmarks of ResNet Architecture for Atrial Fibrillation Classification. - Raphael Hiesgen, Dominik Charousset, Thomas C. Schmidt:
A Configurable Transport Layer for CAF. - Ido Zachevsky, Yehoshua Y. Zeevi:
Modelling local phase of images and textures with applications in phase denoising and phase retrieval. - Minas Benyamin, Jeff Calder, Ganesh Sundaramoorthi, Anthony J. Yezzi:
Accelerated PDE's for efficient solution of regularized inversion problems. - Robert Max Williams, Roman V. Yampolskiy:
Optical Illusions Images Dataset. - Rutvika Manohar, Takashi Hikihara:
Dynamic behaviour of a ring coupled boost converter system with passivity-based control. - Siddhartha Dhar Choudhury, Shashank Pandey:
Nth Absolute Root Mean Error. - Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Guy Wolf, Smita Krishnaswamy:
Graph Spectral Regularization for Neural Network Interpretability. - Saeed Najafi, Colin Cherry, Grzegorz Kondrak:
Efficient Sequence Labeling with Actor-Critic Training. - Huizi Mao, Taeyoung Kong, William J. Dally:
CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video. - Ziyi Yang, Chenguang Zhu, Weizhu Chen:
Zero-training Sentence Embedding via Orthogonal Basis. - Qinglin Zhang, Chris Benton, Daniela Inclezan:
An Application of ASP Theories of Intentions to Understanding Restaurant Scenarios: Insights and Narrative Corpus. - Dawsen Hwang, Patrick Jaillet, Vahideh H. Manshadi:
Online Resource Allocation under Partially Predictable Demand. - David Métivier, Michael Chertkov:
Mean Field Control for Efficient Mixing of Energy Loads. - Vladimir Lifschitz, Patrick Lühne, Torsten Schaub:
anthem: Transforming gringo Programs into First-Order Theories (Preliminary Report). - Martin Farach-Colton, Meng Li, Meng-Tsung Tsai:
Streaming Algorithms for Planar Convex Hulls. - Ciro Potena, Raghav Khanna, Juan I. Nieto, Roland Siegwart, Daniele Nardi, Alberto Pretto:
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming. - Nathan F. Lepora, Martin J. Pearson, Luke Cramphorn:
TacWhiskers: Biomimetic optical tactile whiskered robots. - Priyanka Mandikal, Navaneet K. L., R. Venkatesh Babu:
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image. - Longsheng Jiang, Yue Wang:
A Human-Computer Interface Design for Quantitative Measure of Regret Theory. - Panagiotis Papadopoulos, Panagiotis Ilia, Michalis Polychronakis, Evangelos P. Markatos, Sotiris Ioannidis, Giorgos Vasiliadis:
Master of Web Puppets: Abusing Web Browsers for Persistent and Stealthy Computation. - Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober:
Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks. - Michalis K. Titsias, Sotirios Nikoloutsopoulos:
Bayesian Transfer Reinforcement Learning with Prior Knowledge Rules. - Fabian Steiner, Gerhard Kramer:
Optimization of Bit Mapping and Quantized Decoding for Off-the-Shelf Protograph LDPC Codes with Application to IEEE 802.3ca. - Kenneth T. Co, Luis Muñoz-González, Emil C. Lupu:
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Neural Networks. - Daniel McDuff, Roger Cheng, Ashish Kapoor:
Identifying Bias in AI using Simulation. - Yujie Xing, Raquel Fernández:
Automatic Evaluation of Neural Personality-based Chatbots. - Riddhish Bhalodia, Anupama Goparaju, Tim Sodergren, Alan Morris, Evgueni Kholmovski, Nassir Marrouche, Joshua Cates, Ross T. Whitaker, Shireen Y. Elhabian:
Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation. - Annie Xie, Avi Singh, Sergey Levine, Chelsea Finn:
Few-Shot Goal Inference for Visuomotor Learning and Planning. - Patrick E. Lancaster, Joshua R. Smith, Siddhartha S. Srinivasa:
Improved Proximity, Contact, and Force Sensing via Optimization of Elastomer-Air Interface Geometry. - Duc Thanh Anh Luong, Varun Chandola:
An Empirical Evaluation of Time-Aware LSTM Autoencoder on Chronic Kidney Disease. - Jinhyuk Lee, Seongjun Yun, Hyunjae Kim, Miyoung Ko, Jaewoo Kang:
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering. - Qiang Zhang, Qiangqiang Yuan, Jie Li, Xinxin Liu, Huanfeng Shen, Liangpei Zhang:
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network. - Yoseob Han, Jong Chul Ye:
One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection. - Jagdeep Bhatia:
Simple Algorithms for Learning from Random Counterexamples. - Tianmin Shu, Caiming Xiong, Ying Nian Wu, Song-Chun Zhu:
Interactive Agent Modeling by Learning to Probe. - Feilong Liu, Ario Salmasi, Spyros Blanas, Anastasios Sidiropoulos:
Chasing Similarity: Distribution-aware Aggregation Scheduling (Extended Version). - A. V. Reznichenko, A. I. Chernykh, S. V. Smirnov, I. S. Terekhov:
The log log growth of channel capacity for nondispersive nonlinear optical fiber channel in intermediate power range. Extension of the model. - Ting-Wu Chin, Cha Zhang, Diana Marculescu:
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks. - Rafael M. O. Cruz, Dayvid V. R. Oliveira, George D. C. Cavalcanti, Robert Sabourin:
FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection. - Walid S. Saba:
A Simple Machine Learning Method for Commonsense Reasoning? A Short Commentary on Trinh & Le (2018). - Ryan Cotsakis, David St-Onge
Decentralized collaborative transport of fabrics using micro-UAVs. - Soheil Esmaeilzadeh, Dimitrios Ioannis Belivanis, Kilian M. Pohl, Ehsan Adeli:
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification. - Sushant Veer, Ioannis Poulakakis:
Safe Adaptive Switching among Dynamical Movement Primitives: Application to 3D Limit-Cycle Walkers. - Bhadrachalam Chitturi, Jayakumar Pai:
Minimum-Link Rectilinear Covering Tour is NP-hard in R4. - Sebastian Kmiec, Juhan Bae, Ruijian An:
Learnable Pooling Methods for Video Classification. - Anupam Chattopadhyay, Kwok-Yan Lam
Autonomous Vehicle: Security by Design. - Chengyuan Zhang, Ruipeng Chen, Lei Zhu, Zuping Zhang, Fang Huang, Yunwu Lin:
SVS-JOIN: Efficient Spatial Visual Similarity Join over Multimedia Data. - Talha Iqbal, Hazrat Ali:
Generative Adversarial Network for Medical Images (MI-GAN). - Yu-Ping Wang, Wende Tan, Xu-Qiang Hu, Dinesh Manocha, Shi-Min Hu:
TZC: Efficient Inter-Process Communication for Robotics Middleware with Partial Serialization. - J. V. Roig:
Stronger Cryptography For Every Device, Everywhere. - Sujay Bhatt, Vikram Krishnamurthy:
Adaptive Polling in Hierarchical Social Networks using Blackwell Dominance. - Qi Wang, Jesper Wiborg Schneider:
Consistency of interdisciplinarity measures. - Marcin Bienkowski, Lukasz Jez, Pawel Schmidt:
Slaying Hydrae: Improved Bounds for Generalized k-Server in Uniform Metrics. - Yi Zhou, Yue Bai, Shuvra S. Bhattacharyya, Heikki Huttunen:
Elastic Neural Networks for Classification. - Andreas Stöckl:
Detecting Satire in the News with Machine Learning. - Gabriele D'Angelo, Stefano Ferretti, Moreno Marzolla:
Fault Tolerant Adaptive Parallel and Distributed Simulation through Functional Replication. - Zhenzhou Shao, Hongfa Zhao, Jiexin Xie, Ying Qu, Yong Guan, Jindong Tan:
Unsupervised Trajectory Segmentation and Promoting of Multi-Modal Surgical Demonstrations. - Romeo Ortega, Bowen Yi, José Guadalupe Romero, Alessandro Astolfi:
Orbital Stabilization of Nonlinear Systems via the Immersion and Invariance Technique. - Shruti Tople, Karan Grover, Shweta Shinde
Privado: Practical and Secure DNN Inference. - Adithya Subramanian, Anbumani Subramanian:
One-Click Annotation with Guided Hierarchical Object Detection. - Victor Carbune, Thierry Coppey, Alexander N. Daryin, Thomas Deselaers, Nikhil Sarda, Jay Yagnik:
Predicted Variables in Programming. - Karl Bringmann, Bhaskar Ray Chaudhury:
Polyline Simplification has Cubic Complexity. - L. Sunil Chandran, Rogers Mathew, Deepak Rajendraprasad, Nitin Singh:
Approximation bounds on maximum edge 2-coloring of dense graphs. - Ornela Dardha, Jorge A. Pérez:
Comparing Type Systems for Deadlock-Freedom. - Xingbo Liu, Xiushan Nie, Yilong Yin:
Fusion Hashing: A General Framework for Self-improvement of Hashing. - Laurent Orgogozo, Prokushkin Prokushkin, Oleg S. Pokrovsky, Christophe Grenier, Michel Quintard, Jerome Viers, Stéphane Audry:
Numerical investigation of evapotranspiration processes in a forested watershed of Central Siberia. - Iñaki San Vicente
Talaia: a Real time Monitor of Social Media and Digital Press. - Patrick Schwab, Lorenz Linhardt
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks. - Sina Ahmadi:
Attention-based Encoder-Decoder Networks for Spelling and Grammatical Error Correction. - Ganji Sreeram, Kunal Dhawan, Rohit Sinha:
Hindi-English Code-Switching Speech Corpus. - Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez, Kevin Chen, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese:
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation. - Omid Shahmirzadi, Adam Lugowski, Kenneth Younge:
Text Similarity in Vector Space Models: A Comparative Study. - Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel:
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection. - Shahab Jalalvand, Andrej Ljolje, Srinivas Bangalore:
Automatic Data Expansion for Customer-care Spoken Language Understanding. - Hui Su, Xiaoyu Shen, Wenjie Li, Dietrich Klakow:
NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation. - Robert Cimrman, Vladimír Lukes, Eduard Rohan:
Multiscale finite element calculations in Python using SfePy. - Rasool Fakoor, Amanjit Kainth, Siamak Shakeri, Christopher Winestock, Abdel-rahman Mohamed, Ruhi Sarikaya:
Direct optimization of F-measure for retrieval-based personal question answering. - Wasi Uddin Ahmad, Xueying Bai, Nanyun Peng, Kai-Wei Chang:
Learning Robust, Transferable Sentence Representations for Text Classification. - Kuang Zhou, Arnaud Martin, Quan Pan:
A belief combination rule for a large number of sources. - Inyong Yun, Cheolkon Jung, Xinran Wang, Alfred O. Hero III, Joongkyu Kim:
Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment. - Fabio Massimo Zennaro, Magdalena Ivanovska:
Counterfactually Fair Prediction Using Multiple Causal Models. - Bryce Doerr, Richard Linares, Pingping Zhu, Silvia Ferrari:
Random Finite Set Theory and Optimal Control for Large Spacecraft Swarms. - Ye Yuan, Xiuchuan Tang, Wei Pan, Xiuting Li, Wei Zhou, Hai-Tao Zhang, Han Ding, Jorge M. Gonçalves:
Data-driven Discovery of Cyber-Physical Systems. - Rahul Arora, Alec Jacobson, Timothy R. Langlois, Yijiang Huang, Caitlin Tobin Mueller, Wojciech Matusik, Ariel Shamir, Karan Singh, David I. W. Levin:
Designing Volumetric Truss Structures. - Siu-Wing Cheng, Man-Kit Lau:
Adaptive Planar Point Location. - Seyed Amin Fadaee, Maryam Amir Haeri:
Classification Using Link Prediction. - Tao Jiang, Yuanming Shi, Jun Zhang, Khaled Ben Letaief:
Joint Activity Detection and Channel Estimation for IoT Networks: Phase Transition and Computation-Estimation Tradeoff. - Thorbjörn Posewsky, Daniel Ziener:
Throughput Optimizations for FPGA-based Deep Neural Network Inference. - Josep Silva:
Pre-proceedings of the 26th International Workshop on Functional and Logic Programming (WFLP 2018). - Thomas Schöps, Torsten Sattler, Marc Pollefeys:
SurfelMeshing: Online Surfel-Based Mesh Reconstruction. - Eduard Eiben, Carl Feghali:
Towards Cereceda's conjecture for planar graphs. - Simone Bianco, Rémi Cadène, Luigi Celona, Paolo Napoletano:
Benchmark Analysis of Representative Deep Neural Network Architectures. - Adrian Rivera Cardoso, Huan Xu:
Risk-Averse Stochastic Convex Bandit. - Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft:
Improving the Generalization of Adversarial Training with Domain Adaptation. - Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. - Vasile Patrascu:
Shannon Entropy for Neutrosophic Information. - Zahra Vahidi Ferdousi, Dario Colazzo, Elsa Negre:
CBPF: leveraging context and content information for better recommendations. - Tao Zhang, Quanyan Zhu:
A Game-Theoretic Foundation of Deception: Knowledge Acquisition and Fundamental Limits. - Gary Bécigneul, Octavian-Eugen Ganea:
Riemannian Adaptive Optimization Methods. - Suthee Ruangwises, Toshiya Itoh:
AND Protocols Using Only Uniform Shuffles. - Flavien Deschaux, Frédéric Gouaisbaut, Yassine Ariba:
Nonlinear control for an uncertain electromagnetic actuator. - Theofrastos Mantadelis, Stefano Bistarelli
A Preliminary Report on Probabilistic Attack Normal Form for Constellation Semantics. - Riccardo Giambona, Alessandro E. C. Redondi, Matteo Cesana:
MQTT+: Enhanced Syntax and Broker Functionalities for Data Filtering, Processing and Aggregation. - Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov, Benjamin J. Puttnam, Georg Rademacher, Ruben S. Luis, Darko Zibar:
Geometric Constellation Shaping for Fiber Optic Communication Systems via End-to-end Learning. - Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka:
Human Motion Prediction using Adaptable Neural Networks. - Filip Ilievski, Eduard H. Hovy, Qizhe Xie, Piek Vossen:
The Profiling Machine: Active Generalization over Knowledge. - Marthe Bonamy, Oscar Defrain, Marc Heinrich, Jean-Florent Raymond:
Enumerating minimal dominating sets in triangle-free graphs. - Vincent Lostanlen:
Eigentriads and Eigenprogressions on the Tonnetz. - Ivor van der Hoog, Marc J. van Kreveld, Wouter Meulemans, Kevin Verbeek, Jules Wulms:
Topological Stability of Kinetic k-Centers. - Bo Jiang, Doudou Lin, Jin Tang:
Graph Diffusion-Embedding Networks. - David Landsberg, Earl T. Barr:
Doric: Foundations for Statistical Fault Localisation. - Yiannis Giannakopoulos
Optimal Pricing For MHR Distributions. - Yen-Ling Kuo, Andrei Barbu, Boris Katz:
Deep sequential models for sampling-based planning. - Max Schwarz, Anton Milan, Arul Selvam Periyasamy, Sven Behnke:
RGB-D Object Detection and Semantic Segmentation for Autonomous Manipulation in Clutter. - Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine:
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow. - Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh:
Set Transformer. - Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka:
How Powerful are Graph Neural Networks? - Madhusanka Liyanage
Five Driving Forces of Multi-Access Edge Computing. - Ran Tian, Sisi Li, Nan Li, Ilya V. Kolmanovsky
Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts. - Tuan Do, Nikhil Krishnaswamy, Kyeongmin Rim, James Pustejovsky:
Multimodal Interactive Learning of Primitive Actions. - Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz:
CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs. - Yu-Guan Hsieh, Gang Niu, Masashi Sugiyama:
Classification from Positive, Unlabeled and Biased Negative Data. - Borja Martínez, Ferran Adelantado, Andrea Bartoli, Xavier Vilajosana:
Exploring the Performance Boundaries of NB-IoT. - Marc Aubreville, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier:
Augmented Mitotic Cell Count using Field Of Interest Proposal. - Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. - Yu Bai, Yu-Xiang Wang, Edo Liberty:
ProxQuant: Quantized Neural Networks via Proximal Operators. - Lingwei Xie, Song He, Shu Yang, Boyuan Feng, Kun Wan, Zhongnan Zhang, Xiaochen Bo, Yufei Ding:
Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds. - Yong Wang:
Truly Concurrent Process Algebra Is Reversible. - Andrew Slavin Ross:
Training Machine Learning Models by Regularizing their Explanations. - Fakrul Islam Tushar:
Automatic Skin Lesion Segmentation Using GrabCut in HSV Colour Space. - Javier Burroni, Guillaume Baudart, Louis Mandel, Martin Hirzel, Avraham Shinnar:
Extending Stan for Deep Probabilistic Programming. - Matthew Delacorte:
Solving 3SAT By Reduction To Testing For Odd Hole. - Matthew Delacorte:
Graph Isomorphism by Conversion to Chordal (6, 3) Graphs. - Quan Geng, Wei Ding, Ruiqi Guo, Sanjiv Kumar:
Truncated Laplacian Mechanism for Approximate Differential Privacy. - Rahman Lavaee, John Criswell, Chen Ding:
Codestitcher: Inter-Procedural Basic Block Layout Optimization. - Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh:
Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition. - Humaira Farid, Volker Haarslev:
Handling Nominals and Inverse Roles using Algebraic Reasoning. - Long Kong, Satyanarayana Vuppala, Georges Kaddoum:
Secrecy Analysis of Random MIMO Wireless Networks over α-μ Fading Channels. - Matthieu Riou, Bassam Jabaian, Stéphane Huet, Fabrice Lefèvre:
Joint On-line Learning of a Zero-shot Spoken Semantic Parser and a Reinforcement Learning Dialogue Manager. - Alessandro Piscopo:
Wikidata: A New Paradigm of Human-Bot Collaboration? - Seiji Maekawa, Koh Takeuchi, Makoto Onizuka:
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning. - Philipp Allgeuer, Grzegorz Ficht, Hafez Farazi, Michael Schreiber, Sven Behnke:
First International HARTING Open Source Prize Winner: The igus Humanoid Open Platform. - Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak:
Omega-Regular Objectives in Model-Free Reinforcement Learning. - Jared Roesch, Steven Lyubomirsky, Logan Weber, Josh Pollock, Marisa Kirisame, Tianqi Chen, Zachary Tatlock:
Relay: A New IR for Machine Learning Frameworks. - (Withdrawn) Improved robustness to adversarial examples using Lipschitz regularization of the loss.
- Zach Wood-Doughty, Ilya Shpitser, Mark Dredze:
Challenges of Using Text Classifiers for Causal Inference. - Marcin Niemiec:
Error correction in quantum cryptography based on artificial neural networks. - Konstantinos Koufos, Carl P. Dettmann:
Performance of a Link in a Field of Vehicular Interferers with Hardcore Headway Distance. - Radoslaw A. Kycia, Z. Tabor:
Natural measures of alignment. - Santosh Balajee Banisetty, David Feil-Seifer:
Towards a Unified Planner For Socially-Aware Navigation. - Nithya Attaluri, Ahmed Nasir, Carolynne Powe, Harold Racz, Ben Covington, Li Yao, Jordan Prosky, Eric Poblenz, Tobi Olatunji, Kevin Lyman:
Efficient and Accurate Abnormality Mining from Radiology Reports with Customized False Positive Reduction. - Aysenur Bilgin, Laura Hollink, Jacco van Ossenbruggen, Erik Tjong Kim Sang, Kim Smeenk, Frank Harbers, Marcel Broersma:
Utilizing a Transparency-driven Environment toward Trusted Automatic Genre Classification: A Case Study in Journalism History. - Shahan Ali Memon, Wenbo Zhao, Bhiksha Raj, Rita Singh:
Neural Regression Trees. - Paul Liu, Austin R. Benson, Moses Charikar:
A sampling framework for counting temporal motifs. - Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Inertial-aided Motion Deblurring with Deep Networks. - Yuquan Shan, George Kesidis, Bhuvan Urgaonkar, Jörg Schad, Jalal Khamse-Ashari, Ioannis Lambadaris:
Heterogeneous MacroTasking (HeMT) for Parallel Processing in the Public Cloud. - Peter L. Bartlett, Victor Gabillon, Michal Valko:
A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption. - Yijiang Huang, Caelan Reed Garrett, Caitlin Tobin Mueller:
Automated motion planning for robotic assembly of discrete architectural structures. - Stuart Reeves:
How UX Practitioners Produce Findings in Usability Testing. - Martin Loncaric, Bowei Liu, Ryan Weber:
Learning Hash Codes via Hamming Distance Targets. - Shing Yan Loo, Ali Jahani Amiri, Syamsiah Mashohor, Sai Hong Tang, Hong Zhang:
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction. - Rahul Pandey, Hemant Purohit, Bonnie Stabile, Aubrey Grant:
Distributional Semantics Approach to Detect Intent in Twitter Conversations on Sexual Assaults. - Rahul Pandey, Hemant Purohit, Jennifer Lisa Chan, Aditya Johri:
AI for Trustworthiness! Credible User Identification on Social Web for Disaster Response Agencies. - Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Siddhartha S. Srinivasa:
Bayesian Policy Optimization for Model Uncertainty. - Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III:
Convergence Rates for Empirical Estimation of Binary Classification Bounds. - Chamila Wijayarathna, Nalin Asanka Gamagedara Arachchilage:
Fighting Against XSS Attacks: A Usability Evaluation of OWASP ESAPI Output Encoding. - Zhezhi He, Deliang Fan:
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation. - Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
Large batch size training of neural networks with adversarial training and second-order information. - Jingkang Wang, Yang Liu, Bo Li:
Reinforcement Learning with Perturbed Rewards. - Jesus Tordesillas, Brett Thomas Lopez, John Carter, John Ware, Jonathan P. How:
Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments. - Reymundo A. Gutierrez, Elaine Schaertl Short, Scott Niekum, Andrea Lockerd Thomaz:
Towards Online Learning from Corrective Demonstrations. - Jialin Qiao, Xiangdong Huang, Lei Rui, Jianmin Wang:
Heterogeneous Replica for Query on Cassandra. - Ashish Goel, Anilesh Kollagunta Krishnaswamy:
Implementing the Lexicographic Maxmin Bargaining Solution. - Ang Li, David Darling, Qinghua Li:
PhotoSafer: Content-Based and Context-Aware Private Photo Protection for Smartphones. - Ang Li, Wei Du, Qinghua Li:
Privacy-Preserving Outsourcing of Large-Scale Nonlinear Programming to the Cloud. - Hu Ding, Jinhui Xu:
A Unified Framework for Clustering Constrained Data without Locality Property. - Parth Shah, Rachana Oza:
Improved Parallel Rabin-Karp Algorithm Using Compute Unified Device Architecture. - Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu, Daniela Rus, Wojciech Matusik:
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics. - Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang:
Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO with Arbitrary Array Geometry. - Shuai Tang, Virginia R. de Sa:
Improving Sentence Representations with Multi-view Frameworks. - Zhengyi Luo, Austin Small, Liam Dugan, Stephen Lane:
Cloud Chaser: Real Time Deep Learning Computer Vision on Low Computing Power Devices. - Kazutaka Kurihara, Nobuhiro Doi:
GameControllerizer: Middleware to Program Inputs for Augmenting Digital Games. - Manas Jyoti Kashyop, N. S. Narayanaswamy:
Fully dynamic 3/2 approximate maximum cardinality matching in O(sqrt{n}) update time. - Chakkrit Termritthikun, Surachet Kanprachar, Paisarn Muneesawang:
NU-LiteNet: Mobile Landmark Recognition using Convolutional Neural Networks. - Charles H. Martin, Michael W. Mahoney:
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning. - Jinwook Jung, Iris Hui-Ru Jiang, Jianli Chen, Shih-Ting Lin, Yih-Lang Li, Victor N. Kravets, Gi-Joon Nam:
DATC RDF: An Open Design Flow from Logic Synthesis to Detailed Routing. - Thach V. Bui, Minoru Kuribayashi, Mahdi Cheraghchi, Isao Echizen:
A framework for generalized group testing with inhibitors and its potential application in neuroscience. - Sinem Aslan, Sebastiano Vascon, Marcello Pelillo:
Ancient Coin Classification Using Graph Transduction Games. - Ashish Goel, Reyna Hulett, Anilesh Kollagunta Krishnaswamy:
Relating Metric Distortion and Fairness of Social Choice Rules. - Ahmad Yousef Alhilal, Tristan Braud, Pan Hui:
Future Architecture of the Interplanetary Internet. - Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Quantization-Aware Phase Retrieval. - Yang Zhong, Vladimir Li, Ryuzo Okada, Atsuto Maki:
Target Aware Network Adaptation for Efficient Representation Learning. - Thomas Attema, Emiliano Mancini, Gabriele Spini, Mark Abspoel, Jan de Gier, Serge Fehr, Thijs Veugen, Maran van Heesch, Daniël Worm, Andrea De Luca, Ronald Cramer, Peter M. A. Sloot:
A New Approach to Privacy-Preserving Clinical Decision Support Systems for HIV Treatment. - Subhajit Chaudhury, Daiki Kimura, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana:
Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation. - Andrey Ignatov, Radu Timofte, William Chou, Ke Wang, Max Wu, Tim Hartley, Luc Van Gool:
AI Benchmark: Running Deep Neural Networks on Android Smartphones. - Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
The Dreaming Variational Autoencoder for Reinforcement Learning Environments. - Marlo Häring, Wiebke Loosen, Walid Maalej:
Who is Addressed in this Comment? Automatically Classifying Meta-Comments in News Comments. - P. Balasubramanian:
Performance Comparison of some Synchronous Adders. - Giorgio Patrini, Marcello Carioni, Patrick Forré, Samarth Bhargav, Max Welling, Rianne van den Berg, Tim Genewein, Frank Nielsen:
Sinkhorn AutoEncoders. - Martin Klauco, Lubos Cirka:
Non-linear Model Predictive Control of Conically Shaped Liquid Storage Tanks. - Paolo Pagliuca, Stefano Nolfi:
Robust Optimization through Neuroevolution. - Andrea E. Martin, Leonidas A. A. Doumas:
Predicate learning in neural systems: Discovering latent generative structures. - Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar:
Time Reversal as Self-Supervision. - Bart M. P. Jansen, Marcin Pilipczuk, Erik Jan van Leeuwen:
A deterministic polynomial kernel for Odd Cycle Transversal and Vertex Multiway Cut in planar graphs. - Kevin Klaiber, Sebastian Cammerer, Laurent Schmalen, Stephan ten Brink:
Avoiding Burst-like Error Patterns in Windowed Decoding of Spatially Coupled LDPC Codes. - Javier Verdú, Juan José Costa, Beatriz Otero, Eva Rodríguez, Alex Pajuelo, Ramon Canal:
Platform-Agnostic Steal-Time Measurement in a Guest Operating System. - Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Training compact deep learning models for video classification using circulant matrices. - Takayuki Ishizaki, Takahiro Kawaguchi, Hampei Sasahara, Jun-ichi Imura:
Retrofit Control with Approximate Environment Modeling. - Francis Engelmann, Theodora Kontogianni, Jonas Schult, Bastian Leibe:
Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds. - Pingbo Pan, Yan Yan, Tianbao Yang, Yi Yang:
Learning Discriminators as Energy Networks in Adversarial Learning. - Arsham Mostaani, Osvaldo Simeone:
On Learning How to Communicate Over Noisy Channels for Collaborative Tasks. - Ishtiaq Ahmad, Zeeshan Kaleem, KyungHi Chang:
Block Error Rate and UE Throughput Performance Evaluation using LLS and SLS in 3GPP LTE Downlink. - Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty:
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images. - Tao Li, Xudong Liu, Shihan Su:
Semi-supervised Text Regression with Conditional Generative Adversarial Networks. - Ondrej Dusek, Jekaterina Novikova, Verena Rieser:
Findings of the E2E NLG Challenge. - Yousef AlNagar, Sameh Hosny, Amr A. El-Sherif:
Towards Mobility-Aware Proactive Caching for Vehicular Ad hoc Networks. - Pierre Bénard, Aaron Hertzmann:
Line Drawings from 3D Models. - Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song:
EMI: Exploration with Mutual Information Maximizing State and Action Embeddings. - Alexandru Constantin Serban, Erik Poll:
Adversarial Examples - A Complete Characterisation of the Phenomenon. - Wang Chi Cheung, Vincent Y. F. Tan, Zixin Zhong:
Thompson Sampling for Cascading Bandits. - Yura Perov:
Inference Over Programs That Make Predictions. - Sebastiano Vascon, Ylenia Parin, Eis Annavini, Mattia D'Andola, Davide Zoccolan, Marcello Pelillo:
Characterization of Visual Object Representations in Rat Primary Visual Cortex. - John D. Martin, Jinkun Wang, Brendan J. Englot:
Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation. - Yulin Shao, Soung Chang Liew, Taotao Wang:
AlphaSeq: Sequence Discovery with Deep Reinforcement Learning. - Aloïs Pourchot, Olivier Sigaud:
CEM-RL: Combining evolutionary and gradient-based methods for policy search. - Max A. Deppert, Klaus Jansen:
Near-Linear Approximation Algorithms for Scheduling Problems with Batch Setup Times. - Bhaskar Ray Chaudhury, Kurt Mehlhorn:
Combinatorial Algorithms for General Linear Arrow-Debreu Markets. - Karl Bringmann, Bhaskar Ray Chaudhury:
Sketching, Streaming, and Fine-Grained Complexity of (Weighted) LCS. - Rémi Sainct, Cyril Feau, Jean-Marc Martinez, Josselin Garnier:
Efficient Seismic fragility curve estimation by Active Learning on Support Vector Machines. - Xutan Peng
A Lightweight Music Texture Transfer System. - Paolo Pistone
Proof nets, coends and the Yoneda isomorphism. 148-167 - Guanxiong Zeng, Yang Chen, Bo Cui, Shan Yu:
Continuous Learning of Context-dependent Processing in Neural Networks. - Ofir Nachum, Shixiang Gu, Honglak Lee, Sergey Levine:
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning. - Arjun Sharma, Mohit Sharma, Nicholas Rhinehart, Kris M. Kitani:
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information. - Yash Sharma, Tien-Dung Le, Moustafa Alzantot:
CAAD 2018: Generating Transferable Adversarial Examples. - Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti, Tsang Ing Ren:
META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning. - Jing Zhang, Yonggong Ren:
Marrying Tracking with ELM: A Metric Constraint Guided Multiple Feature Fusion Method. - Philip Feldman, Aaron Dant, Wayne G. Lutters:
Disrupting the Coming Robot Stampedes: Designing Resilient Information Ecologies. - Xuanqing Liu, Yao Li, Chongruo Wu, Cho-Jui Hsieh:
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network. - Ronghua Xu, Yu Chen, Erik Blasch, Genshe Chen:
An Exploration of Blockchain Enabled Decentralized Capability based Access Control Strategy for Space Situation Awareness. - Ashish Ranjan Hota, Shreyas Sundaram:
Game-Theoretic Choice of Curing Rates Against Networked SIS Epidemics by Human Decision-Makers. - Paolo Bestagini, Federico Lombardi, Maurizio Lualdi, Francesco Picetti, Stefano Tubaro:
Landmine Detection Using Autoencoders on Multi-polarization GPR Volumetric Data. - Léonard Blier, Pierre Wolinski
Learning with Random Learning Rates. - Sandra Aigner, Marco Körner:
FutureGAN: Anticipating the Future Frames of Video Sequences using Spatio-Temporal 3d Convolutions in Progressively Growing Autoencoder GANs. - Alban Laflaquière:
Unsupervised Emergence of Spatial Structure from Sensorimotor Prediction. - Max Schwarz, Tobias Rodehutskors, David Droeschel, Marius Beul, Michael Schreiber, Nikita Araslanov, Ivan Ivanov, Christian Lenz, Jan Razlaw, Sebastian Schüller, David Schwarz, Angeliki Topalidou-Kyniazopoulou, Sven Behnke:
NimbRo Rescue: Solving Disaster-Response Tasks through Mobile Manipulation Robot Momaro. - Young-Hee Lee, Chen Zhu, Gabriele Giorgi, Christoph Günther:
Fusion of Monocular Vision and Radio-based Ranging for Global Scale Estimation and Drift Mitigation. - Pierre Ganty, Elena Gutiérrez:
The Parikh Property for Weighted Context-Free Grammars. - Luisa Carracciuolo, Emil M. Constantinescu, Luisa D'Amore:
Validation of a PETSc based software implementing a 4DVAR Data Assimilation algorithm: a case study related with an Oceanic Model based on Shallow Water equation. - Rui Zhao, Volker Tresp:
Energy-Based Hindsight Experience Prioritization. - Ting Chen, Mario Lucic, Neil Houlsby, Sylvain Gelly:
On Self Modulation for Generative Adversarial Networks. - Will Grathwohl, Ricky T. Q. Chen, Jesse Bettencourt, Ilya Sutskever, David Duvenaud:
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models. - Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong:
Semi-dense Stereo Matching using Dual CNNs. - Rui Zhao, Volker Tresp:
Efficient Dialog Policy Learning via Positive Memory Retention. - Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong:
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. - Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
A Knowledge Hunting Framework for Common Sense Reasoning. - Argyrios Deligkas, John Fearnley, Themistoklis Melissourgos, Paul G. Spirakis:
Approximating the Existential Theory of the Reals. - Jonathan Le Roux, Gordon Wichern, Shinji Watanabe, Andy M. Sarroff, John R. Hershey:
Phasebook and Friends: Leveraging Discrete Representations for Source Separation. - Sara Sabour, William Chan, Mohammad Norouzi:
Optimal Completion Distillation for Sequence Learning. - Joseph Tassarotti, Jean-Baptiste Tristan, Michael L. Wick:
Sketching for Latent Dirichlet-Categorical Models. - Shubhomoy Das, Janardhan Rao Doppa:
GLAD: GLocalized Anomaly Detection via Active Feature Space Suppression. - Ke Li, Shichong Peng, Jitendra Malik:
Super-Resolution via Conditional Implicit Maximum Likelihood Estimation. - Saeed Mahloujifar, Mohammad Mahmoody
Can Adversarially Robust Learning Leverage Computational Hardness? - Thomas Voice, Abuthahir, Gaurav Raina:
Global stability of the Rate Control Protocol (RCP) and some implications for protocol design. - George T. Cantwell, M. E. J. Newman:
Mixing patterns and individual differences in networks. - Cheng Wan, Paulin Jacquot, Olivier Beaude, Nadia Oudjane:
Efficient Estimation of Equilibria of Large Congestion Games with Heterogeneous Players. - I-Lun Tseng, Yongfu Li, Valerio Perez, Vikas Tripathi, Zhao Chuan Lee, Yoong Seang Jonathan Ong:
An Automated System for Checking Lithography Friendliness of Standard Cells. - A. J. Piergiovanni, Michael S. Ryoo:
Representation Flow for Action Recognition. - Christopher Griffin, Brady Bickel:
Unsupervised Machine Learning of Open Source Russian Twitter Data Reveals Global Scope and Operational Characteristics. - Gaurav Singh, James Thomas, Iain James Marshall, John Shawe-Taylor, Byron C. Wallace:
Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding. - David Landry, François Pomerleau, Philippe Giguère:
CELLO-3D: Estimating the Covariance of ICP in the Real World. - Philippe Babin, Philippe Giguère, François Pomerleau:
Analysis of Robust Functions for Registration Algorithms. - Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan:
Adaptive, Personalized Diversity for Visual Discovery. - Julia Kreutzer, Artem Sokolov:
Learning to Segment Inputs for NMT Favors Character-Level Processing. - Houssam Nassif, Kemal Oral Cansizlar, Mitchell Goodman, S. V. N. Vishwanathan:
Diversifying Music Recommendations. - Evandro C. Ferraz, Jeferson de Lima Muniz, Alexandre C. R. da Silva, Gerhard W. Dueck:
Synthesis of Majority Expressions through Primitive Function Manipulation. - Paul Liu, Jan Vondrák:
Submodular Optimization in the MapReduce Model. - Pepe Vila, Boris Köpf, José Francisco Morales:
Theory and Practice of Finding Eviction Sets. - Derrik E. Asher, Justine Caylor, Casey Doyle, Alexis R. Neigel, György Korniss, Boleslaw K. Szymanski:
Opinion Formation Threshold Estimates from Different Combinations of Social Media Data-Types. - Alisa Kovtunova
Cutting Diamonds: Temporal DLs with Probabilistic Distributions over Data. - Hamed Zamani, Markus Schedl, Paul Lamere, Ching-Wei Chen:
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation. - (Withdrawn) Harnessing Correlations in Distributed Erasure Coded Key-Value Stores.
- Mel Vecerík, Oleg Sushkov, David Barker, Thomas Rothörl, Todd Hester, Jonathan Scholz:
A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning. - Jing Zhong, Roy D. Yates, Emina Soljanin:
Timely Lossless Source Coding for Randomly Arriving Symbols. - Julio A. Reyes-Munoz, Michael P. McGarry:
The Effect of Data Marshalling on Computation Offloading Decisions. - Mihai Boicu, Dorin Marcu, Gheorghe Tecuci, Lou Kaiser, Chirag Uttamsingh, Navya Kalale:
Co-Arg: Cogent Argumentation with Crowd Elicitation. - Walter Kern, Daniël Paulusma
Contracting to a Longest Path in H-Free Graphs. - Jungseock Joo, Zachary C. Steinert-Threlkeld:
Image as Data: Automated Visual Content Analysis for Political Science. - Nina Amenta, Carlos Rojas
Dihedral Rigidity and Deformation. - Nasheen Nur, Wenwen Dou, Xi Niu, Siddharth Krishnan, Noseong Park:
GI-OHMS: Graphical Inference to Detect Overlapping Communities. - Anselme Ndikumana, Nguyen Hoang Tran, Choong Seon Hong:
Deep Learning Based Caching for Self-Driving Car in Multi-access Edge Computing. - David Dice, Alex Kogan:
BRAVO - Biased Locking for Reader-Writer Locks. - Debarpita Santra, Swapan Kumar Basu, Jyotsna Kumar Mandal, Subrata Goswami:
Rough set based lattice structure for knowledge representation in medical expert systems: low back pain management case study. - Silvia Joseph, Irwandi Hipiny, Hamimah Ujir:
Performance Evaluation of SIFT Descriptor against Common Image Deformations on Iban Plaited Mat Motifs. - Faustine John, Irwandi Hipiny, Hamimah Ujir, Mohd Shahrizal Sunar:
Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region. - Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba:
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids. - Dania Elzouki, Sorina Dumitrescu, Jun Chen:
Lattice-based Robust Distributed Source Coding. - Kaung Khin, Philipp Burckhardt, Rema Padman:
A Deep Learning Architecture for De-identification of Patient Notes: Implementation and Evaluation. - Ken Goss, Wei Jiang:
Distributing and Obfuscating Firewalls via Oblivious Bloom Filter Evaluation. - Dave Dice, Alex Kogan:
TWA - Ticket Locks Augmented with a Waiting Array. - Omid Poursaeed, Guandao Yang, Aditya Prakash, Qiuren Fang, Hanqing Jiang, Bharath Hariharan, Serge J. Belongie:
Deep Fundamental Matrix Estimation without Correspondences. - Md Salman Nazir, Ian A. Hiskens:
A Dynamical Systems Approach to Modeling and Analysis of Transactive Energy Coordination. - Morit Zwang, Shahar Somin, Alex 'Sandy' Pentland, Yaniv Altshuler:
Detecting Bot Activity in the Ethereum Blockchain Network. - Sadegh M. Milajerdi, Rigel Gjomemo, Birhanu Eshete, R. Sekar, V. N. Venkatakrishnan:
HOLMES: Real-time APT Detection through Correlation of Suspicious Information Flows. - Duanshun Li, Chen Feng:
Primitive Fitting Using Deep Boundary Aware Geometric Segmentation. - Jorge E. Hirsch:
hα: An index to quantify an individual's scientific leadership. - Sungeun Hong, Wonjin Jung, Ilsang Woo, Seung Wook Kim:
Cascaded Pyramid Network for 3D Human Pose Estimation Challenge. - Johann Laconte, Simon-Pierre Deschênes, Mathieu Labussière, François Pomerleau:
Lidar Measurement Bias Estimation via Return Waveform Modelling in a Context of 3D Mapping. - Wendi Xu, Ming Zhang:
Towards WARSHIP: Combining Components of Brain-Inspired Computing of RSH for Image Super Resolution. - Bilwaj Gaonkar, Alex A. T. Bui, Matthew Brown, Luke Macyszyn:
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan? - Wendi Xu, Ming Zhang:
Theory of Generative Deep Learning : Probe Landscape of Empirical Error via Norm Based Capacity Control. - Kyoomars Alizadeh Noghani, Hakim Ghazzai, Andreas Kassler:
A Generic Framework for Task Offloading in mmWave MEC Backhaul Networks. - Marcell János Uray:
Algebraic number fields and the LLL algorithm. - Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin:
Optimization Algorithm Inspired Deep Neural Network Structure Design. - Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. - Shaohua Li, Kaiping Xue:
SecGrid: A Secure and Efficient SGX-enabled Smart Grid System with Rich Functionalities. - Phuong Le-Hong, Anh-Cuong Le:
A Comparative Study of Neural Network Models for Sentence Classification. - Vasilios Mavroudis, Petr Svenda:
Towards Low-level Cryptographic Primitives for JavaCards. - Lukas Hoyer, Christoph Steup, Sanaz Mostaghim:
A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation. - Mathieu Labussière, Johann Laconte, François Pomerleau:
Geometry Preserving Sampling Method based on Spectral Decomposition for 3D Registration. - Jan Studený, Przemyslaw Uznanski:
Approximating Approximate Pattern Matching. - Mehmet Emin Köroglu:
New entanglement-assisted MDS quantum codes from constacyclic codes. - Alejandro Z. Tomsic, Manuel Bravo, Marc Shapiro:
Distributed transactional reads: the strong, the quick, the fresh & the impossible. - Aggelos Kiayias, Benjamin Livshits, Andrés Monteoliva Mosteiro, Orfeas Stefanos Thyfronitis Litos:
A Puff of Steem: Security Analysis of Decentralized Content Curation. - Surender Baswana, Shiv Kumar Gupta, Ayush Tulsyan:
Fault Tolerant and Fully Dynamic DFS in Undirected Graphs: Simple Yet Efficient. - Ben Chugg, Takanori Maehara:
Submodular Stochastic Probing with Prices. - Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eunbyung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo:
2018 Low-Power Image Recognition Challenge. - Alessio Tonioni, Eugenio Serra, Luigi Di Stefano:
A deep learning pipeline for product recognition on store shelves. - Ravi Kashyap:
Auction Theory Extensions for Real Life Applications. - Pietro Verzelli, Lorenzo Livi, Cesare Alippi:
A characterization of the Edge of Criticality in Binary Echo State Networks. - Qianzhi Zhang, Kaveh Dehghanpour, Zhaoyu Wang:
Reinforcement Learning for Model-Free Power Management of Networked Microgrids. - Andrzej Kaczmarczyk, Piotr Faliszewski:
Algorithms for Destructive Shift Bribery. - Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, James R. Glass, Preslav Nakov:
Predicting Factuality of Reporting and Bias of News Media Sources. - Elham Saraee, Mona Jalal, Margrit Betke:
SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset. - Renjie Chen, Craig Gotsman:
Efficient Fastest-Path Computations in Road Maps. - James Usevitch, Dimitra Panagou:
Determining r-Robustness of Arbitrary Digraphs Using Zero-One Linear Integer Programming. - John Iacono, Stefan Langerman:
Weighted dynamic finger in binary search trees. - Paul C. Bell, Igor Potapov:
Towards Uniform Online Spherical Tessellations. - Anil Koyuncu, Kui Liu, Tegawendé F. Bissyandé, Dongsun Kim, Jacques Klein, Martin Monperrus, Yves Le Traon:
FixMiner: Mining Relevant Fix Patterns for Automated Program Repair. - Tiantu Xu, Luis Materon Botelho, Felix Xiaozhu Lin:
Reinventing Data Stores for Video Analytics. - Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam:
Disambiguating Music Artists at Scale with Audio Metric Learning. - Bailin Wang, Wei Lu, Yu Wang, Hongxia Jin:
A Neural Transition-based Model for Nested Mention Recognition. - Johes Bater, Xi He, William Ehrich, Ashwin Machanavajjhala, Jennie Rogers:
Shrinkwrap: Differentially-Private Query Processing in Private Data Federations. - Bailin Wang, Wei Lu:
Neural Segmental Hypergraphs for Overlapping Mention Recognition. - Masayuki Tanaka:
Weighted Sigmoid Gate Unit for an Activation Function of Deep Neural Network. - Kangfu Mei, Aiwen Jiang, Juncheng Li, Jihua Ye, Mingwen Wang:
An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks. - Sariel Har-Peled, Saladi Rahul:
Two (Known) Results About Graphs with No Short Odd Cycles. - D. Ellis Hershkowitz, Gregory Kehne:
Reverse Greedy is Bad for k-Center. - Lex Fridman:
Human-Centered Autonomous Vehicle Systems: Principles of Effective Shared Autonomy. - Roberto Alonso, Stephan Günnemann:
Mining Contrasting Quasi-Clique Patterns. - Daniele Pizzolli, Giuseppe Cossu, Daniele Santoro, Luca Capra, Corentin Dupont, Dukas Charalampos, Francesco De Pellegrini, Fabio Antonelli, Silvio Cretti:
Cloud4IoT: a heterogeneous, distributed and autonomic cloud platform for the IoT. - Dafni Antotsiou, Guillermo Garcia-Hernando, Tae-Kyun Kim:
Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation. - Sudeep Pillai, Rares Ambrus, Adrien Gaidon:
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. - Ahmad Alsharif, Mahmoud Nabil, Samet Tonyali, Hawzhin Mohammed, Mohamed Mahmoud, Kemal Akkaya:
EPIC: Efficient Privacy-Preserving Scheme with E2E Data Integrity and Authenticity for AMI Networks. - Neela Sawant, Chitti Babu Namballa, Narayanan Sadagopan, Houssam Nassif:
Contextual Multi-Armed Bandits for Causal Marketing. - Luke Nicholas Darlow, Amos J. Storkey:
GINN: Geometric Illustration of Neural Networks. - Marcin Mozejko, Mateusz Susik, Rafal Karczewski:
Inhibited Softmax for Uncertainty Estimation in Neural Networks. - Steve Hanneke, Aryeh Kontorovich, Menachem Sadigurschi:
Agnostic Sample Compression for Linear Regression. - Federico Pittino, Roberto Diversi, Luca Benini, Andrea Bartolini:
Robust online identification of thermal models for in-production HPC clusters with machine learning-based data selection. - Alban Laflaquière, Alexander V. Terekhov, Bruno Gas, J. Kevin O'Regan:
Learning an internal representation of the end-effector configuration space. - Alban Laflaquière, Sylvain Argentieri, Olivia Breysse, Stéphane Genet, Bruno Gas:
A Non-linear Approach to Space Dimension Perception by a Naive Agent. - Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek:
Deep processing of structured data. - David Noever:
Machine Learning Suites for Online Toxicity Detection. - Alban Laflaquière, Nikolas Hemion, Michaël Garcia Ortiz, Jean-Christophe Baillie:
Grounding Perception: A Developmental Approach to Sensorimotor Contingencies. - Alban Laflaquière:
Grounding the Experience of a Visual Field through Sensorimotor Contingencies. - Alban Laflaquière, J. Kevin O'Regan, Sylvain Argentieri, Bruno Gas, Alexander V. Terekhov:
Learning agent's spatial configuration from sensorimotor invariants. - Adnan Haider, Philip C. Woodland:
Combining Natural Gradient with Hessian Free Methods for Sequence Training. - Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling:
Relaxed Quantization for Discretized Neural Networks. - Balázs Kégl, Mehdi Cherti, Akin Kazakçi:
Spurious samples in deep generative models: bug or feature? - Yixi Xu, Xiao Wang:
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units. - Rabindra Lamsal, Shubham Katiyar:
Real-time Clustering Algorithm Based on Predefined Level-of-Similarity. - Shiv Ram Dubey, Snehasis Mukherjee:
A Multi-Face Challenging Dataset for Robust Face Recognition. - Viktor Sirotin:
RPSE: Reification as Paradigm of Software Engineering. - Viraj Gamage, Menuka Warushavithana, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka, Thejan Rupasinghe:
Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning. - Deniz Mengu, Yi Luo, Yair Rivenson, Aydogan Ozcan:
Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks. - Chaosheng Dong, Yiran Chen, Bo Zeng:
Generalized Inverse Optimization through Online Learning. - Niousha Attar, Sadegh Aliakbary:
Automatic Generation of Adaptive Network Models based on Similarity to the Desired Complex Network. - Mario Bravo, David S. Leslie, Panayotis Mertikopoulos:
Bandit learning in concave N-person games. - Mark Goadrich, James Droscha:
Procedural Puzzle Challenge Generation in Fujisan. - Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. - Animesh Koratana, Daniel Kang, Peter Bailis, Matei Zaharia:
LIT: Block-wise Intermediate Representation Training for Model Compression. - Savinay Nagendra, Nikhil Podila, Rashmi Ugarakhod, Koshy George:
Comparison of Reinforcement Learning algorithms applied to the Cart Pole problem. - Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang:
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias. - Jinoh Kim, Caitlin Sim, Jinhwan Choi:
Generating Labeled Flow Data from MAWILab Traces for Network Intrusion Detection. - Herman J. Haverkort, Laura Toma:
A Comparison of I/O-Efficient Algorithms for Visibility Computation on Massive Grid Terrains. - Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan, Zili Meng, Mohammad Alizadeh:
Learning Scheduling Algorithms for Data Processing Clusters. - S. Mostafa Mousavi, Weiqiang Zhu, Yixiao Sheng, Gregory C. Beroza:
CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection. - Mohammad Salehi, Hina Tabassum, Ekram Hossain:
Accuracy of Distance-Based Ranking of Users in the Analysis of NOMA Systems. - Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies:
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction. - Venkatesan Guruswami, Preetum Nakkiran, Madhu Sudan:
Algorithmic Polarization for Hidden Markov Models. - Feng Shi
Sparse Winograd Convolutional neural networks on small-scale systolic arrays. - Guillermo A. Castillo, Bowen Weng, Ayonga Hereid, Wei Zhang:
Reinforcement Learning Meets Hybrid Zero Dynamics: A Case Study for RABBIT. - Junxuan Li, Yung-wen Liu, Yuting Jia, Jay Nanduri:
Discriminative Data-driven Self-adaptive Fraud Control Decision System with Incomplete Information. - Amado Antonini, Winter Guerra, Varun Murali, Thomas Sayre-McCord, Sertac Karaman:
The Blackbird Dataset: A large-scale dataset for UAV perception in aggressive flight. - Weiming Xiang, Patrick Musau, Ayana A. Wild, Diego Manzanas Lopez, Nathaniel Hamilton, Xiaodong Yang, Joel A. Rosenfeld, Taylor T. Johnson:
Verification for Machine Learning, Autonomy, and Neural Networks Survey. - Ankuj Arora, Humbert Fiorino, Damien Pellier, Sylvie Pesty:
Action Model Acquisition using LSTM. - Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston:
Exascale Deep Learning for Climate Analytics. - Guna Prasaad, Alvin Cheung, Dan Suciu:
Improving High Contention OLTP Performance via Transaction Scheduling. - Ignazio Gallo, Alessandro Calefati, Shah Nawaz, Muhammad Kamran Janjua:
Image and Encoded Text Fusion for Multi-Modal Classification. - Jeancarlo Campos Leão, Michele Amaral Brandão, Pedro O. S. Vaz de Melo, Alberto H. F. Laender:
Improving Community Detection by Mining Social Interactions. - Ran Canetti, Aloni Cohen, Nishanth Dikkala, Govind Ramnarayan, Sarah Scheffler, Adam D. Smith:
From Soft Classifiers to Hard Decisions: How fair can we be? - Ting-Wu Chin, Chia-Lin Yu, Matthew Halpern, Hasan Genc, Shiao-Li Tsao, Vijay Janapa Reddi:
Domain Specific Approximation for Object Detection. - Donald Azuatalam, Archie C. Chapman, Gregor Verbic:
Probabilistic Impact Assessment of Network Tariffs in Low Voltage Distribution Networks. - Matthew Marge, Claire Bonial, Stephanie M. Lukin
Balancing Efficiency and Coverage in Human-Robot Dialogue Collection. - Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi:
Seq2Slate: Re-ranking and Slate Optimization with RNNs. - Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel
Transfer Incremental Learning using Data Augmentation. - Ryan R. Curtin, Andrew B. Gardner, Slawomir Grzonkowski, Alexey Kleymenov, Alejandro Mosquera:
Detecting DGA domains with recurrent neural networks and side information. - Ziwei Ji, Matus Telgarsky:
Gradient descent aligns the layers of deep linear networks. - Yi-Ling Qiao, Lin Gao, Yu-Kun Lai, Shihong Xia:
Learning Bidirectional LSTM Networks for Synthesizing 3D Mesh Animation Sequences. - Sergey Slavnov:
Commutative linear logic as a multiple context-free grammar. - Massimo Bartoletti, Sophia Knight:
Proceedings 11th Interaction and Concurrency Experience, ICE 2018, Madrid, Spain, June 20-21, 2018. EPTCS 279, 2018 [contents] - Simon S. Du, Xiyu Zhai, Barnabás Póczos, Aarti Singh:
Gradient Descent Provably Optimizes Over-parameterized Neural Networks. - Muhamad Felemban, Yahya Javed, Jason Kobes, Thamir Qadah, Arif Ghafoor, Walid G. Aref:
Design and Evaluation of A Data Partitioning-Based Intrusion Management Architecture for Database Systems. - Tatsuya Chuman, Kenta Iida, Warit Sirichotedumrong, Hitoshi Kiya:
Image Manipulation Specifications on Social Networking Services for Encryption-then-Compression Systems. - Stav Buchsbaum, Ran Gilad-Bachrach, Yehuda Lindell:
Turning Lemons into Peaches using Secure Computation. - Cheng Fu, Shilin Zhu, Hao Su, Ching-En Lee, Jishen Zhao:
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA. - Dae Hyun Kim, Taeyoung Kong, Seungbin Jeong:
Finding Solutions to Generative Adversarial Privacy. - Avisek Lahiri, Charan Reddy, Prabir Kumar Biswas:
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images. - Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Phil Blunsom, Andrew Markham, Niki Trigoni:
Transferring Physical Motion Between Domains for Neural Inertial Tracking. - Shonosuke Harada, Hirotaka Akita, Masashi Tsubaki, Yukino Baba, Ichigaku Takigawa, Yoshihiro Yamanishi, Hisashi Kashima:
Dual Convolutional Neural Network for Graph of Graphs Link Prediction. - Fady Copty, Francisco Hernandez, Dov Murik, Olmo Rayón:
Shakedown: compiler-based moving target protection for Return Oriented Programing attacks on an industrial IoT device. - Anna Wilbik:
FSS++ Workshop Report: Handling Uncertainty for Data Quality Management. - Lorraine A. K. Ayad, Giulia Bernardini, Roberto Grossi, Costas S. Iliopoulos, Nadia Pisanti, Solon P. Pissis, Giovanna Rosone:
Longest Property-Preserved Common Factor. - Juntao Yu:
Semi-Supervised Methods for Out-of-Domain Dependency Parsing. - Keren Censor-Hillel, Mikaël Rabie:
Distributed Reconfiguration of Maximal Independent Sets. - Edouard Fouché, Klemens Böhm:
Monte Carlo Dependency Estimation. - Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer, Hayit Greenspan:
Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder. - Yukun Yan, Daqi Zheng, Zhengdong Lu, Sen Song:
Zooming Network. - Julien Girard, Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot:
Learning Finer-class Networks for Universal Representations. - Chakresh Kumar Singh, Ravi Vishwakarma, Shivakumar Jolad:
Exploring the role and nature of interactions between Institutes in a Local Affiliation Network. - Michel Leclère, Marie-Laure Mugnier
A Single Approach to Decide Chase Termination on Linear Existential Rules. - Chengzheng Sun, David Sun, Agustina, Weiwei Cai:
Real Differences between OT and CRDT for Co-Editors. - Jan A. Bergstra, Alban Ponse, Daan J. C. Staudt:
Propositional logic with short-circuit evaluation: a non-commutative and a commutative variant. - Federico Fancellu, Adam Lopez, Bonnie L. Webber:
Neural Networks for Cross-lingual Negation Scope Detection. - Siyu Chen, Brian M. Kurkoski, Eirik Rosnes:
Construction D' Lattices from Quasi-Cyclic Low-Density Parity-Check Codes. - Mohammad Taghi Dabiri, Himan Savojbolaghchi, Seyed Mohammad Sajad Sadough:
On the Performance of Space-Time MIMO Multiplexing for Free Space Optical Communications. - Mohsen Naseri, Mohammad Taghi Dabiri, Seyed Mohammad Sajad Sadough:
Ergodic Capacity of Triple-Hop All-Optical Amplify-and-Forward Relaying over Free-Space Optical Channels. - Julian Hosp, Toby Hoenisch, Paul Kittiwongsunthorn:
COMIT - Cryptographically-secure Off-chain Multi-asset Instant Transaction Network. - James A. Grant, David S. Leslie
Adaptive Policies for Perimeter Surveillance Problems. - Idan Attias, Aryeh Kontorovich, Yishay Mansour:
Improved generalization bounds for robust learning. - Giuseppa Castiglione, Gabriele Fici, Antonio Restivo:
On k-Maximal Submonoids, with Applications in Combinatorics on Words. - Sang-Min Choi, Jiho Park, Quan Hoang Nguyen, Andre Cronje, Ki-Young Jang, Hyunjoon Cheon, Yo-Sub Han, Byung-Ik Ahn:
OPERA: Reasoning about continuous common knowledge in asynchronous distributed systems. - Athanasios Kehagias:
A Note on the Nash Equilibria of Some Multi-Player Reachability / Safety Games. - Gianfranco Chicco, Andrea Mazza:
Heuristic Optimization of Electrical Energy Systems: A Perpetual Motion Scheme and Refined Metrics to Compare the Solutions. - Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert:
A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks. - Xiang Zhang, Lina Yao, Chaoran Huang, Salil S. Kanhere, Dalin Zhang:
Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding. - Fan Zhang, Miao Hu:
Memristor-based Deep Convolution Neural Network: A Case Study. - Jan Wassenberg, Robert Obryk, Jyrki Alakuijala, Emmanuel Mogenet:
Randen - fast backtracking-resistant random generator with AES+Feistel+Reverie. - Tommaso Caselli:
Italian Event Detection Goes Deep Learning. - Thomas Fernique, Amir Hashemi, Olga Sizova:
Compact packings of the plane with three sizes of discs. - Andrew Polonsky:
On (weak) fpc generators. - Olivier Bournez, Arnaud Durand, Sabrina Ouazzani:
Recursion schemes, discrete differential equations and characterization of polynomial time computation. - Ahad Mohammadi, Javier Bonilla, Reza Zarghami, Shahab Golshan:
A Novel Heat Exchanger Design Method Using a Delayed Rejection Adaptive Metropolis Hasting Algorithm. - Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks. - Hiroki Ouchi, Hiroyuki Shindo, Yuji Matsumoto:
A Span Selection Model for Semantic Role Labeling. - Michael Cerny Green
DATA Agent. - Manuel Hernández:
Deriving sorting algorithms via abductive logic program transformation. - Jesse Read:
Concept-drifting Data Streams are Time Series; The Case for Continuous Adaptation. - Mathias Müller, Annette Rios, Elena Voita, Rico Sennrich:
A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation. - Yong Tan:
Compound Binary Search Tree and Algorithms. - David W. Brown:
MyCaffe: A Complete C# Re-Write of Caffe with Reinforcement Learning. - Nikolay Savinov, Anton Raichuk, Raphaël Marinier, Damien Vincent, Marc Pollefeys, Timothy P. Lillicrap, Sylvain Gelly:
Episodic Curiosity through Reachability. - Muhammad Amjad, Leila Musavian:
Performance Analysis of NOMA for Ultra-Reliable and Low-Latency Communications. - Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Isgum:
Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning. - Sanjeev Arora, Nadav Cohen, Noah Golowich, Wei Hu:
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks. - Kangfu Mei, Aiwen Jiang, Juncheng Li, Mingwen Wang:
Progressive Feature Fusion Network for Realistic Image Dehazing. - Lea Föcke:
SiMRX - A Simulation toolbox for MRX. - Adrien Poulenard, Maks Ovsjanikov:
Multi-directional Geodesic Neural Networks via Equivariant Convolution. - Guillaume Ducoffe:
Polynomial-time Recognition of 4-Steiner Powers. - Anna T. Thomas, Albert Gu, Tri Dao, Atri Rudra, Christopher Ré:
Learning Compressed Transforms with Low Displacement Rank. - Derek Chang, Devendra Shelar, Saurabh Amin:
DER Allocation and Line Repair Scheduling for Storm-induced Failures in Distribution Networks. - Arash Molavi Kakhki, Vijay Erramilli, Phillipa Gill, Augustin Chaintreau, Balachander Krishnamurthy:
Information Market for Web Browsing: Design, Usability and Incremental Adoption. - Ehsan Farahbakhsh
Computer vision-based framework for extracting geological lineaments from optical remote sensing data. - Gerald Friedland, Alfredo Metere, Mario Michael Krell:
A Practical Approach to Sizing Neural Networks. - Kyle Hsu, Sergey Levine, Chelsea Finn:
Unsupervised Learning via Meta-Learning. - Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Joshua B. Tenenbaum:
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding. - Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr:
SNIP: Single-shot Network Pruning based on Connection Sensitivity. - Jan-Martin O. Steitz, Faraz Saeedan, Stefan Roth:
Multi-view X-ray R-CNN. - AmirMahdi Ahmadinejad, Arun Jambulapati, Amin Saberi, Aaron Sidford:
Perron-Frobenius Theory in Nearly Linear Time: Positive Eigenvectors, M-matrices, Graph Kernels, and Other Applications. - Marcelo Marinho, Alexandre Luna, Sarah Beecham:
Global Software Development: Practices for Cultural Differences. - Thomas Teixeira, Filipe Wall Mutz, Vinicius B. Cardoso, Lucas de Paula Veronese, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza:
Map Memorization and Forgetting in the IARA Autonomous Car. - Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han:
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering. - Félix G. Harvey, Christopher J. Pal:
Recurrent Transition Networks for Character Locomotion. - Roman A. Solovyev, Maxim Vakhrushev, Alexander Radionov, Vladimir Aliev, Alexey A. Shvets:
Deep Learning Approaches for Understanding Simple Speech Commands. - Alphan Sahin, Rui Yang:
A Generic Complementary Sequence Encoder. - Jakub Gajarský, Stephan Kreutzer, Jaroslav Nesetril, Patrice Ossona de Mendez, Michal Pilipczuk, Sebastian Siebertz, Szymon Torunczyk:
First-order interpretations of bounded expansion classes. - Andris Ambainis, Krisjanis Prusis, Jevgenijs Vihrovs:
On Block Sensitivity and Fractional Block Sensitivity. - Balthazar Bauer, Jevgenijs Vihrovs, Hoeteck Wee:
On the Inner Product Predicate and a Generalization of Matching Vector Families. - Wei Du, Ang Li, Qinghua Li:
Privacy-Preserving Multiparty Learning For Logistic Regression. - Ghada Zamzmi, Gabriel Ruiz, Matthew Shreve, Dmitry B. Goldgof, Rangachar Kasturi, Sudeep Sarkar:
A method to Suppress Facial Expression in Posed and Spontaneous Videos. - Junho Cho:
Prefix-Free Code Distribution Matching for Probabilistic Constellation Shaping. - Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs. - Zhanpeng He, Ryan Julian, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. - Pei Wang, Pushpi Paranamana, Patrick Shafto:
Generalizing the theory of cooperative inference. - Chihuang Liu, Joseph F. JáJá:
Feature prioritization and regularization improve standard accuracy and adversarial robustness. - Mahmoud Kalash, Md. Amirul Islam, Neil D. B. Bruce:
Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks. - Vaishak Belle:
Abstracting Probabilistic Relational Models. - Bart Jacobs:
Lower and Upper Conditioning in Quantum Bayesian Theory. 225-238 - Alessandro Achille, Glen Mbeng, Stefano Soatto:
The Dynamics of Differential Learning I: Information-Dynamics and Task Reachability. - Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing:
AutoLoss: Learning Discrete Schedules for Alternate Optimization. - Tong He, Yang Hu:
FashionNet: Personalized Outfit Recommendation with Deep Neural Network. - Florian Heimerl, Chih-Ching Chang, Alper Sarikaya, Michael Gleicher:
Visual Designs for Binned Aggregation of Multi-Class Scatterplots. - Sandip Roy, Mengran Xue:
Comment on 'Detecting Topology Variations in Networks of Linear Dynamical Systems'. - Tang Liu, Daniela Tuninetti
Tight Information Theoretic Converse Results for some Pliable Index Coding Problems. - David Eppstein, Elham Havvaei:
Parameterized Leaf Power Recognition via Embedding into Graph Products. - Michal Derezinski, Manfred K. Warmuth, Daniel Hsu:
Correcting the bias in least squares regression with volume-rescaled sampling. - Kyle D. Julian, Mykel J. Kochenderfer:
Image-based Guidance of Autonomous Aircraft for Wildfire Surveillance and Prediction. - Marcel Campen, Hanxiao Shen, Jiaran Zhou, Denis Zorin:
Seamless Parametrization with Arbitrarily Prescribed Cones. - Ben Kaiser, Mireya Jurado, Alex Ledger:
The Looming Threat of China: An Analysis of Chinese Influence on Bitcoin. - Franco Barbanera, Ugo de'Liguoro, Rolf Hennicker:
Global Types for Open Systems. 4-20 - Roberto Guanciale
Realisability of Pomsets via Communicating Automata. 37-51 - Eduard Kamburjan, Reiner Hähnle
Prototyping Formal System Models with Active Objects. 52-67 - Alexandre Mansard:
Unfolding of Finite Concurrent Automata. 68-84 - Maurizio Murgia
On Urgency in Asynchronous Timed Session Types. 85-94 - Zhongyuan Zhao:
Meeting Real-Time Constraint of Spectrum Management in TV Black-Space Access. - Mostafa Zaman Chowdhury, Mohd. Noor Islam, Young Min Seo, Young Ki Lee, Sang Bum Kang, Sunwoong Choi, Yeong Min Jang:
Characterizing QoS Parameters and Application of Soft-QoS Scheme for 3G Wireless Networks. - Mostafa Zaman Chowdhury, Yeong Min Jang, Zygmunt J. Haas:
Interference Mitigation Using Dynamic Frequency Re-use for Dense Femtocell Network Architectures. - Mostafa Zaman Chowdhury, Seung Que Lee, Byung Han Ru, Namhoon Park, Yeong Min Jang:
Service Quality Improvement of Mobile Users in Vehicular Environment by Mobile Femtocell Network Deployment. - Mostafa Zaman Chowdhury, Young-Il Kim, Won Ryu, Yeong Min Jang:
Popularity based Bandwidth Allocation for Video Broadcast/Multicast over Wireless Networks. - Mostafa Zaman Chowdhury, Yeong Min Jang:
CAC and Traffic Modeling for Integrated Macrocell/Femtocell Networks. - Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer. - Jelena Vasiljevic, Ivica Milosavljevic, Vladimir Krstic, Natasa Zivic, Lazar Berbakov, Luka Lopusina, Dhinaharan Nagamalai, Milutin Cerovic:
Medical Images Analysis in Cancer Diagnostic. - Dimitrios Damopoulos, Georgios Portokalidis:
Hands-Free One-Time and Continuous Authentication Using Glass Wearable Devices. - Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea:
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations. - Jinke Ren, Yinghui He, Guan Huang, Guanding Yu, Yunlong Cai, Zhaoyang Zhang:
An Edge-Computing Based Architecture for Mobile Augmented Reality. - Jindan Xu, Wei Xu, Hua Zhang, Geoffrey Ye Li, Xiaohu You:
Performance Analysis of Multi-Cell Millimeter Wave Massive MIMO Networks with Low-Precision ADCs. - Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker:
Learning To Simulate. - Philip Gun, Andrew John Hill, Robin Vujanic:
Multi-Vehicle Trajectory Optimisation On Road Networks. - (Withdrawn) Social Choice Random Utility Models of Intransitive Pairwise Comparisons.
- Peter Henderson, Joshua Romoff, Joelle Pineau:
Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods. - Cheolhyeong Kim, Seungtae Park, Hyung Ju Hwang:
Local Stability and Performance of Simple Gradient Penalty mu-Wasserstein GAN. - Jiahu Qin, Jie Wang, Ling Shi, Yu Kang:
Randomized Consensus based Distributed Kalman Filtering over Wireless Sensor Networks. - Kee-Hoon Kim:
PAPR Reduction in OFDM-IM Using Multilevel Dither Signals. - Lei Yu, Vincent Y. F. Tan:
Corrections to "Wyner's Common Information under Rényi Divergence Measures". - Komal Janghel, Shankar Prakriya:
Performance of Two-Hop Cooperative Cognitive Networks with an Energy Harvesting Relay. - Jurica Hizak, Lovorka Gotal Dmitrovic, Mirko Cubrilo:
The role of memory in transition from direct to indirect reciprocity. - Kazi Nawshad Azam, Mostafa Zaman Chowdhury:
Intelligent Interference Management Based on On-Demand Service Connectivity for Femtocellular Networks. - Mohammad Arif Hossain, Shakil Ahmed, Mostafa Zaman Chowdhury:
Radio Resource Management for Dynamic Channel Borrowing Scheme in Wireless Networks. - Perttu Hämäläinen, Amin Babadi, Xiaoxiao Ma, Jaakko Lehtinen:
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation. - Shakil Ahmed, Mohammad Arif Hossain, Mostafa Zaman Chowdhury:
Interference Declination for Dynamic Channel Borrowing Scheme in Wireless Network. - Shakil Ahmed, Mohammad Arif Hossain, Mostafa Zaman Chowdhury:
On Demand Cell Sectoring Based Fractional Frequency Reuse in Wireless Networks. - Md. Asadur Rahman, Mohammad Arif Hossain, Shakil Ahmed, Mostafa Zaman Chowdhury:
A New Guard-Band Call Admission Control Policy Based on Acceptance Factor for Wireless Cellular Networks. - Massimo Condoluci, Stephen H. Johnson, Vicknesan Ayadurai, Maria A. Lema, Maria A. Cuevas, Mischa Dohler, Toktam Mahmoodi:
Fixed-Mobile Convergence in the 5G era: From Hybrid Access to Converged Core. - Mike Wu, Noah D. Goodman, Stefano Ermon:
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference. - Mohammad Arif Hossain, Mostafa Zaman Chowdhury, Shakil Ahmed, Yeong Min Jang:
Class-Based Interference Management in Wireless Networks. - Jiahu Qin, Menglin Li, Ling Shi, Yu Kang:
Optimal Denial-of-Service Attack Energy Management over an SINR-Based Network. - Imtiaz Nasim, Mostafa Zaman Chowdhury, Md. Syadus Sefat:
Energy-Efficient Cellular Communications Powered by Smart Grid Technology. - Simon Olofsson, Ruth Misener:
GPdoemd: a python package for design of experiments for model discrimination. - Nicolas Gonthier, Yann Gousseau, Saïd Ladjal, Olivier Bonfait:
Weakly Supervised Object Detection in Artworks. - Mehek-Moutushy Rahman Mou, Mostafa Zaman Chowdhury:
Service Aware Fuzzy Logic Based Handover Decision in Heterogeneous Wireless Networks. - Md. Tashikur Rahman, Md. Didarul Alam, Mostafa Zaman Chowdhury:
Interference Mitigation and Capacity Enhancement based on Dynamic Frequency Reuse for Femtocell Networks. - Dengxin Dai, Luc Van Gool:
Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime. - Qijun Zhu, Dandan Li, Dik Lun Lee:
C-DLSI: An Extended LSI Tailored for Federated Text Retrieval. - A. S. M. Zadid Shifat, Mostafa Zaman Chowdhury, Yeong Min Jang:
A game theoretical approach for QoS provisioning in heterogeneous networks. - Evelyn Chee, Zhenzhou Wu:
AIRNet: Self-Supervised Affine Registration for 3D Medical Images using Neural Networks. - Md. Tanvir Hossan, Mostafa Zaman Chowdhury, Moh. Khalid Hasan, Md. Shahjalal, Trang Nguyen, Nam Tuan Le, Yeong Min Jang:
A New Vehicle Localization Scheme Based on Combined Optical Camera Communication and Photogrammetry. - A. S. M. Zadid Shifat, Mostafa Zaman Chowdhury, Yeong Min Jang:
Game-Based Approach for QoS Provisioning and Interference Management in Heterogeneous Networks. - Mostafa Zaman Chowdhury, Md. Tanvir Hossan, Amirul Islam, Yeong Min Jang:
A Comparative Survey of Optical Wireless Technologies: Architectures and Applications. - Mostafa Zaman Chowdhury, Md. Tanvir Hossan, Yeong Min Jang:
Interference Management Based on RT/nRT Traffic Classification for FFR-Aided Small Cell/Macrocell Heterogeneous Networks. - Mostafa Zaman Chowdhury, Md. Tanvir Hossan, Moh. Khalid Hasan, Yeong Min Jang:
Integrated RF/Optical Wireless Networks for Improving QoS in Indoor and Transportation Applications. - Minglong Qi, Shengwu Xiong:
On a Theorem of Kyureghyan and Pott. - Md. Shahjalal, Md. Tanvir Hossan, Moh. Khalid Hasan, Mostafa Zaman Chowdhury, Nam Tuan Le, Yeong Min Jang:
An Implementation Approach and Performance Analysis of Image Sensor Based Multilateral Indoor Localization and Navigation System. - Minori Narita, Daiki Kimura, Ryuki Tachibana:
Spatially-weighted Anomaly Detection. - Brian Paden, Peng Liu, Schuyler Cullen:
Accelerated Labeling of Discrete Abstractions for Autonomous Driving Subject to LTL Specifications. - Xiao Pu, Nikolaos Pappas, James Henderson, Andrei Popescu-Belis:
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation. - Benjamin Wassermann, Stefan Kollmannsberger, Shuohui Yin, László Kudela, Ernst Rank:
Integrating CAD and Numerical Analysis: 'Dirty Geometry' handling using the Finite Cell Method. - Anne Bouillard:
Stability and performance guarantees in networks with cyclic dependencies. - M. Z. F. Amara, Ravimal Bandara, Thushari P. Silva:
SLIC Based Digital Image Enlargement. - André Ofner, Sebastian Stober:
Hybrid Active Inference. - Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
ReTiCaM: Real-time Human Performance Capture from Monocular Video. - Luca Melis, Apostolos Pyrgelis, Emiliano De Cristofaro:
On Collaborative Predictive Blacklisting. - Rocco Paolillo, Wander Jager:
Simulating acculturation dynamics between migrants and locals in relation to network formation. - Yazhan Zhang, Zicheng Kan, Yu Alexander Tse, Yang Yang, Michael Yu Wang:
FingerVision Tactile Sensor Design and Slip Detection Using Convolutional LSTM Network. - David Landsberg, Earl T. Barr:
Automated Fix Detection Given Flaky Tests. - Kanstantsin Pashkovich:
Computing the Nucleolus of Weighted Voting Games in Pseudo-polynomial Time. - Defeng Sun, Kim-Chuan Toh, Yancheng Yuan:
Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm. - Tomi Peltola:
Local Interpretable Model-agnostic Explanations of Bayesian Predictive Models via Kullback-Leibler Projections. - Giovanni Iacca:
Distributed optimization in wireless sensor networks: an island-model framework. - Xuan Gu, Hans Knutsson, Anders Eklund:
Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks. - Joao P. Leitao, Mohamed Zaghloul, Vahid Moosavi:
Modeling overland flow from local inflows in almost no-time, using Self Organizing Maps. - Sabah Al-Fedaghi:
Thinging Ethics for Software Engineers. - Philippe C. Besse, Brendan Guillouet, Béatrice Laurent:
Wikistat 2.0: Educational Resources for Artificial Intelligence. - Alun D. Preece, Rob Ashelford, Harry Armstrong, Dave Braines:
Hows and Whys of Artificial Intelligence for Public Sector Decisions: Explanation and Evaluation. - Gorka Olalde Mendia, Lander Usategui San Juan, Xabier Perez Bascaran, Asier Bilbao Calvo, Alejandro Hernández Cordero, Irati Zamalloa Ugarte, Aday Muñiz Rosas, David Mayoral Vilches, Unai Ayucar Carbajo, Laura Alzola Kirschgens, Victor Mayoral Vilches, Endika Gil-Uriarte:
Robotics CTF (RCTF), a playground for robot hacking. - Xinjing Cheng, Peng Wang, Ruigang Yang:
Learning Depth with Convolutional Spatial Propagation Network. - Andrea Maesani, Giovanni Iacca, Dario Floreano:
Memetic Viability Evolution for Constrained Optimization. - Maxence Delorme, Sergio García, Jacek Gondzio, Jörg Kalcsics, David F. Manlove, William Pettersson:
Mathematical models for stable matching problems with ties and incomplete lists. - Doina Bucur, Giovanni Iacca, Marco Gaudesi, Giovanni Squillero, Alberto Paolo Tonda:
Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms. - Shuaiwen Wang, Wenda Zhou, Arian Maleki, Haihao Lu, Vahab S. Mirrokni:
Approximate Leave-One-Out for High-Dimensional Non-Differentiable Learning Problems. - Shaoyang Ning, Xi Qu, Victor Cai, Nathan Sanders:
Clust-LDA: Joint Model for Text Mining and Author Group Inference. - Yixuan Tang, Zhilei Ren, Weiqiang Kong, He Jiang:
Compiler Testing: A Systematic Literature Analysis. - Pengcheng Yin, Graham Neubig:
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation. - Roman V. Yampolskiy:
Human Indignity: From Legal AI Personhood to Selfish Memes. - Saman Parvaneh, Jonathan Rubin, Ali Samadani, Gajendra Katuwal:
Automatic Detection of Arousals during Sleep using Multiple Physiological Signals. - Peihui Chen:
From direct tagging to Tagging with sentences compression. - Awatif Alqahtani, Pankesh Patel, Ellis Solaiman, Rajiv Ranjan:
Demonstration Abstract: A Toolkit for Specifying Service Level Agreements for IoT applications. - Evdokia Nikolova, Emmanouil Pountourakis, Ger Yang:
Optimal Mechanism Design with Risk-loving Agents. - Roman Nikiforov:
Clustering-based Anomaly Detection for microservices. - Viktoria Stray, Nils Brede Moe, Rashina Hoda:
Autonomous agile teams: Challenges and future directions for research. - Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke:
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets. - Rustam Galimullin, Natasha Alechina:
Coalition and Group Announcement Logic. - Jian Shi, Brian Sullivan, Mike Mazzola, Babak Saravi, Uttam Adhikari, Tomasz Haupt:
A Relaxation-based Network Decomposition Algorithm for Parallel Transient Stability Simulation with Improved Convergence. - Miguel E. Coimbra, Renato Rosa, Sérgio Esteves, Alexandre P. Francisco, Luís Veiga:
GraphBolt: Streaming Graph Approximations on Big Data. - Per Austrin, Amey Bhangale, Aditya Potukuchi:
Improved Inapproximability of Rainbow Coloring. - C.-C. Jay Kuo, Min Zhang, Siyang Li, Jiali Duan, Yueru Chen:
Interpretable Convolutional Neural Networks via Feedforward Design. - S. H. Shabbeer Basha, Soumen Ghosh, Kancharagunta Kishan Babu, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee:
RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification. - Gengchen Mai, Krzysztof Janowicz, Cheng He, Sumang Liu, Ni Lao:
POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset. - Raef Bassily:
Linear Queries Estimation with Local Differential Privacy. - Ding Xiang, Ermin Wei:
A General Sensitivity Analysis Approach for Demand Response Optimizations. - Yong Luo, Huaizheng Zhang, Yongjie Wang, Yonggang Wen, Xinwen Zhang:
ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment. - Amanpreet Singh, Sharan Agrawal:
CanvasGAN: A simple baseline for text to image generation by incrementally patching a canvas. - Leandro Arab Marcomini
A Comparison between Background Modelling Methods for Vehicle Segmentation in Highway Traffic Videos. - Arun V. Sathanur:
Scaling Submodular Optimization Approaches for Control Applications in Networked Systems. - Jun Han, Salvator Lombardo, Christopher Schroers, Stephan Mandt:
Deep Probabilistic Video Compression. - Calvin C. Newport, Peter Robinson:
Fault-Tolerant Consensus with an Abstract MAC Layer. - Yau-Shian Wang, Hung-yi Lee:
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks. - Daniele Cappelletti, Andrés Ortiz-Muñoz, David F. Anderson, Erik Winfree:
Stochastic Chemical Reaction Networks for Robustly Approximating Arbitrary Probability Distributions. - Zheng Liu, Botao Xiao, Muhammad Alrabeiah, Keyan Wang, Jun Chen:
Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing. - Inès Osman:
A New Method for the Semantic Integration of Multiple OWL Ontologies using Alignments. - Xiaowei Jia, Anuj Karpatne, Jared Willard, Michael S. Steinbach, Jordan S. Read, Paul C. Hanson, Hilary A. Dugan, Vipin Kumar:
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes. - Anirban Laha, Parag Jain, Abhijit Mishra, Karthik Sankaranarayanan:
Scalable Micro-planned Generation of Discourse from Structured Data. - Michael Kelly, Chelsea Sidrane, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
HG-DAgger: Interactive Imitation Learning with Human Experts. - Luong Hoang, Sam Wiseman, Alexander M. Rush:
Entity Tracking Improves Cloze-style Reading Comprehension. - Peter M. Ney, Luis Ceze, Tadayoshi Kohno:
Computer Security Risks of Distant Relative Matching in Consumer Genetic Databases. - Ye Zhu, Kai Ming Ting, Mark J. Carman, Maia Angelova
CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets. - Seyed Hossein Mousavi, Navid Noroozi, Anton H. J. de Ruiter, Roman Geiselhart:
Stability analysis of networked control systems with not necessarily UGES protocols. - Ran Ben-Basat, Gil Einziger, Isaac Keslassy, Ariel Orda, Shay Vargaftik, Erez Waisbard:
Memento: Making Sliding Windows Efficient for Heavy Hitters. - Jayashree Mohan, Ashlie Martinez, Soujanya Ponnapalli, Pandian Raju, Vijay Chidambaram:
Finding Crash-Consistency Bugs with Bounded Black-Box Crash Testing. - Cameron VandenBerg, Jamie Callan:
Sifaka: Text Mining Above a Search API. - Luis F. R. Taveira, Tahsin M. Kurç, Alba C. M. A. Melo, Jun Kong, Erich Bremer
Tuning for Tissue Image Segmentation Workflows for Accuracy and Performance. - Shariq Iqbal, Fei Sha:
Actor-Attention-Critic for Multi-Agent Reinforcement Learning. - Justin W. Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond J. Mooney, Peter Stone:
Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence. - Dena Firoozi, Ali Pakniyat, Peter E. Caines:
A Hybrid Optimal Control Approach to LQG Mean Field Games with Switching and Stopping Strategies. - Fabio Pardo, Vitaly Levdik, Petar Kormushev:
Q-map: a Convolutional Approach for Goal-Oriented Reinforcement Learning. - Robert E. Kent:
System Consequence. - Hossein Khazaei, Yue Zhao:
Indirect Mechanism Design for Efficient and Stable Renewable Energy Aggregation. - Chris Liu, Pengfei Zhang, Bo Tang, Hang Shen, Lei Zhu, Ziliang Lai, Eric Lo:
Towards Self-Tuning Parameter Servers. - Yixiao Ge, Zhuowan Li, Haiyu Zhao, Guojun Yin, Shuai Yi, Xiaogang Wang, Hongsheng Li:
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification. - Shumo Chu, Sophia Wang:
The Curses of Blockchain Decentralization. - Yi Tay, Luu Anh Tuan, Siu Cheung Hui:
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences. - Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar:
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. - Simon Halfon, Philippe Schnoebelen:
On shuffle products, acyclic automata and piecewise-testable languages. - Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh:
Higher-order Spectral Clustering for Heterogeneous Graphs. - Karan Khathuria, Giacomo Micheli, Violetta Weger
Cryptanalysis of the DHDP and EGDP protocols over Ep(m). - Abhijit Mahalunkar, John D. Kelleher:
Understanding Recurrent Neural Architectures by Analyzing and Synthesizing Long Distance Dependencies in Benchmark Sequential Datasets. - Ayman Elnashar, Mohamed A. El-Saidny, Mohamed Yehia:
Performance Evaluation of VoLTE Based on Field Measurement Data. - Ayman Elnashar:
Practical Aspects of LTE Network Design and Deployment. - Ayman Elnashar, Mohamed A. El-Saidny, Mohamed Reda:
Managing Smartphones Signalling Load in UMTS Networks: A Practical Analysis. - Vero Estrada-Galiñanes, Ethan L. Miller, Pascal Felber, Jehan-François Pâris:
Alpha Entanglement Codes: Practical Erasure Codes to Archive Data in Unreliable Environments. - Nuwan S. Ferdinand, Stark C. Draper:
Anytime Stochastic Gradient Descent: A Time to Hear from all the Workers. - Max Schwarz, Christian Lenz, Germán Martín García, Seongyong Koo, Arul Selvam Periyasamy, Michael Schreiber, Sven Behnke:
Fast Object Learning and Dual-arm Coordination for Cluttered Stowing, Picking, and Packing. - Jeremias Blendin, Fabrice Bendfeldt, Ingmar Poese, Boris Koldehofe, Oliver Hohlfeld:
Dissecting Apple's Meta-CDN during an iOS Update. - Wesley Ramos dos Santos, Ivandré Paraboni:
Personality facets recognition from text. - Artur Kuzin, Artur Fattakhov, Ilya Kibardin, Vladimir Iglovikov, Ruslan Dautov:
Camera Model Identification Using Convolutional Neural Networks. - Yiming Wu, Wei Ji, Xi Li, Gang Wang, Jianwei Yin, Fei Wu:
Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images. - Max Schwarz, David Droeschel, Christian Lenz, Arul Selvam Periyasamy, En Yen Puang, Jan Razlaw, Diego Rodriguez, Sebastian Schüller, Michael Schreiber, Sven Behnke:
Team NimbRo at MBZIRC 2017: Autonomous Valve Stem Turning using a Wrench. - Kuo Kan Liang:
Efficient conversion from rotating matrix to rotation axis and angle by extending Rodrigues' formula. - Bjørn Jespersen, Ana de Almeida Borges, Jorge del Castillo Tierz, Juan José Conejero Rodríguez, Eric Sancho Adamson
When logic lays down the law. - Balazs Vedres, Orsolya Vasarhelyi:
Gendered behavior as a disadvantage in open source software development. - Bikash Ranabhat, Joseph Clements, Jacob Gatlin, Kuang-Ting Hsiao, Mark Yampolskiy:
Optimal Sabotage Attack on Composite Material Parts. - Reinhard Heckel:
Super-resolution radar imaging via convex optimization. - Alex Bigelow, Megan Monroe:
The Intuitive Power of Graph Pivots For User Exploration and Adaptive Data Abstraction. - Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Learning to Optimize under Non-Stationarity. - Erion Çano:
Text-based Sentiment Analysis and Music Emotion Recognition. - Steven Wei Der Chien, Stefano Markidis, Chaitanya Prasad Sishtla, Luís Santos, Pawel Andrzej Herman, Sai Narasimhamurthy, Erwin Laure:
Characterizing Deep-Learning I/O Workloads in TensorFlow. - Alon Brutzkus, Amir Globerson:
Over-parameterization Improves Generalization in the XOR Detection Problem. - Frederik Ebert, Sudeep Dasari, Alex X. Lee, Sergey Levine, Chelsea Finn:
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning. - Arjun Pakrashi, Elham Alghamdi, Brian Mac Namee, Derek Greene:
MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network. - Gilwoo Lee, Sanjiban Choudhury, Brian Hou, Siddhartha S. Srinivasa:
Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes. - Praneeth Narayanamurthy, Vahid Daneshpajooh, Namrata Vaswani:
Subspace Tracking from Missing and Outlier Corrupted Data. - Kenneth Blomqvist, Samuel Kaski, Markus Heinonen:
Deep convolutional Gaussian processes. - Eliu A. Huerta, Roland Haas
Supporting High-Performance and High-Throughput Computing for Experimental Science. - Ahmed Saeed, Yimeng Zhao, Nandita Dukkipati, Mostafa H. Ammar, Ellen W. Zegura, Khaled Harras, Amin Vahdat:
Eiffel: Efficient and Flexible Software Packet Scheduling. - Christian Kroer, Gabriele Farina, Tuomas Sandholm:
Solving Large Sequential Games with the Excessive Gap Technique. - Fei Wang, Jinsong Han, Shiyuan Zhang, Xu He, Dong Huang:
CSI-Net: Unified Human Body Characterization and Action Recognition. - Fabian Manhardt, Wadim Kehl, Nassir Navab, Federico Tombari:
Deep Model-Based 6D Pose Refinement in RGB. - Keith Harrigian:
Geocoding Without Geotags: A Text-based Approach for reddit. - Feng Gao, Guy Wolf, Matthew J. Hirn:
Graph Classification with Geometric Scattering. - Lixing Chen, Jie Xu, Shaolei Ren, Pan Zhou:
Spatio-temporal Edge Service Placement: A Bandit Learning Approach. - Sikang Liu, Kartik Mohta, Nikolay Atanasov, Vijay Kumar:
Towards Search-based Motion Planning for Micro Aerial Vehicles. - Munzir Zafar, Seth Hutchinson, Evangelos A. Theodorou:
Hierarchical Optimization for Whole-Body Control of Wheeled Inverted Pendulum Humanoids. - Yao Xue, Gilbert Bigras, Judith Hugh, Nilanjan Ray:
Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection. - Munzir Zafar, Akash Patel, Bogdan I. Vlahov, Nathaniel Glaser, Sergio Aguillera, Seth Hutchinson:
Online Center of Mass Estimation for a Humanoid Wheeled Inverted Pendulum Robot. - Sudharshan Suresh, Nathaniel Chodosh, Montiel Abello:
DeepGeo: Photo Localization with Deep Neural Network. - Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui, Konstantin Avrachenkov:
Graphlet Count Estimation via Convolutional Neural Networks. - Shahin Pourbahrami, Leyli Mohammad Khanli:
A Survey of Neighbourhood Construction Models for Categorizing Data Points. - Shahin Pourbahrami, Leyli Mohammad Khanli, Sohrab Azimpour:
NCARD: Improving Neighborhood Construction by Apollonius Region Algorithm based on Density. - Amineh Dadsetan, Andrei A. Bulatov:
Counting homomorphisms in plain exponential time. - Hamid Mohammadi, Amin Nikoukaran:
Multi-reference Cosine: A New Approach to Text Similarity Measurement in Large Collections. - Hamid Mohammadi, Seyed Hossein Khasteh:
A Fast Text Similarity Measure for Large Document Collections using Multi-reference Cosine and Genetic Algorithm. - Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin:
ASVRG: Accelerated Proximal SVRG. - Mojtaba Forghani, Weicheng Huang, Mohammad Khalid Jawed:
Control of uniflagellar soft robots at low Reynolds number using buckling instability. - Alexandre Quemy:
European Court of Human Right Open Data project. - Yixin Zhang, Yuzhou Li, Yu Zhang, Tao Jiang:
Underwater Anchor-AUV Localization Geometries with an Isogradient Sound Speed Profile: A CRLB-Based Optimality Analysis. - Andrzej Pelc, Ram Narayan Yadav:
Using Time to Break Symmetry: Universal Deterministic Anonymous Rendezvous. - Jingchang Liu, Linli Xu:
Accelerating Stochastic Gradient Descent Using Antithetic Sampling. - Jelmer M. Wolterink, Robbert W. van Hamersvelt, Max A. Viergever, Tim Leiner, Ivana Isgum:
Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier. - Ruohan Wang, Pierluigi Vito Amadori, Yiannis Demiris:
Real-Time Workload Classification during Driving using HyperNetworks. - Karin Sim Smith, Lucia Specia:
Assessing Crosslingual Discourse Relations in Machine Translation. - Yimin Tang, Tian Jiang, Yanpeng Hu:
A Minesweeper Solver Using Logic Inference, CSP and Sampling. - Juan Luis Gonzalez, Muhammad Sarmad, Hyunjoo Jenny Lee, Munchurl Kim:
Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network. - Mingjie Shao, Qiang Li, Wing-Kin Ma, Anthony Man-Cho So:
A Framework for One-Bit and Constant-Envelope Precoding over Multiuser Massive MISO Channels. - Feras Fattohi:
Competitive Online Virtual Cluster Embedding Algorithms. - Daniel Berenberg, James P. Bagrow:
Efficient Crowd Exploration of Large Networks: The Case of Causal Attribution. - Zhiqing Sun, Zhi-Hong Deng:
Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling. - Saed Moradi, Payman Moallem, Mohamad Farzan Sabahi:
Small Infrared Target Detection Using Absolute Directional Mean Difference Algorithm. - Hoang Gia Ngo, Minh Nguyen, Nancy F. Chen:
Phonology-Augmented Statistical Framework for Machine Transliteration using Limited Linguistic Resources. - Yilun Wu, Xintong Du, Rikky R. P. R. Duivenvoorden, Jonathan Kelly:
Hummingbird: An Open-Source Dual-Rotor Tail-Sitter Platform for Research and Education. - Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms. - Kumarjit Pathak, Jitin Kapila
Reinforcement Evolutionary Learning Method for self-learning. - Bryce Bagley, Blake Bordelon, Benjamin Moseley, Ralf Wessel:
Pre-Synaptic Pool Modification (PSPM): A Supervised Learning Procedure for Spiking Neural Networks. - Sharmin Rahman, Alberto Quattrini Li, Ioannis M. Rekleitis:
SVIn2: Sonar Visual-Inertial SLAM with Loop Closure for Underwater Navigation. - George Stamatakis, Nikolaos Pappas, Apostolos Traganitis:
Optimal Policies for Status Update Generation in a Wireless System with Heterogeneous Traffic. - Mason Swofford:
Image Completion on CIFAR-10. - Daniel Bienstock, Gonzalo Muñoz, Sebastian Pokutta:
Principled Deep Neural Network Training through Linear Programming. - Huan Li, Aaron Schild:
Spectral Subspace Sparsification. - Eunjeong Stella Koh, Shlomo Dubnov, Dustin Wright:
Rethinking Recurrent Latent Variable Model for Music Composition. - Rickard Brüel Gabrielsson, Gunnar E. Carlsson:
A look at the topology of convolutional neural networks. - Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
Entity-Relationship Search over the Web. - Stephen James, Michael Bloesch, Andrew J. Davison:
Task-Embedded Control Networks for Few-Shot Imitation Learning. - Jiefei Ma, Windhya Rankothge, Christian Makaya, Mariceli Morales, Franck Le, Jorge Lobo:
A Comprehensive Study on Load Balancers for VNF chains Horizontal Scaling. - Victor Stamatescu, Mark D. McDonnell:
Diagnosing Convolutional Neural Networks using their Spectral Response. - Changsheng Lu, Siyu Xia, Ming Shao, Yun Fu:
High-quality Ellipse Detection Based on Arc-support Line Segments. - William Fu, Raymond Lin, Daniel Inge:
Fully Homomorphic Image Processing. - Xi Cheng, Xiang Li, Jian Yang:
Triple Attention Mixed Link Network for Single Image Super Resolution. - Nathan Jay, Noga H. Rotman, Philip Brighten Godfrey, Michael Schapira, Aviv Tamar:
Internet Congestion Control via Deep Reinforcement Learning. - Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing:
Toward Understanding the Impact of Staleness in Distributed Machine Learning. - Boyi Yang, Marina Piccinelli, Gaetano Esposito, Tianli Han, Yasir Bouchi, Bill D. Gogas, Don P. Giddens, Habib Samady, Alessandro Veneziani:
Patient-Specific 3D Volumetric Reconstruction of Bioresorbable Stents: A Method to Generate 3D Geometries for Computational Analysis of Coronaries Treated with Bioresorbable Stents. - Vladimir Nekrasov, Chunhua Shen, Ian D. Reid:
Light-Weight RefineNet for Real-Time Semantic Segmentation. - Yunlun Yang, Yu Gong, Xi Chen:
Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective. - Rohit Pandey, Yifan Chang, Cameron White, Gaurav Jagtiani, Aerin Young Kim, Gil Lapid Shafriri, Sathya Singh:
Optimizing Waiting Thresholds Within A State Machine. - (Withdrawn) Noise-synchronizability of opinion dynamics.
- Tongtong Zhao, Yuxiao Yan, Jinjia Peng, Zetian Mi, Xianping Fu:
Guiding Intelligent Surveillance System by learning-by-synthesis gaze estimation. - Julius Adebayo, Justin Gilmer, Michael Muelly, Ian J. Goodfellow, Moritz Hardt, Been Kim:
Sanity Checks for Saliency Maps. - Huifa Lin, Won-Yong Shin, Bang Chul Jung:
Multi-Stream Opportunistic Network Decoupling: Relay Selection and Interference Management. - Leticia Duboc, Faisal Alrebeish, Vivek Nallur, Rami Bahsoon:
Summary of a Literature Review in Scalability of QoS-aware Service Composition. - Chau Do, Wolfram Burgard:
Accurate Pouring with an Autonomous Robot Using an RGB-D Camera. - Julius Adebayo, Justin Gilmer, Ian J. Goodfellow, Been Kim:
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values. - Meng Shen, Zelin Liao, Liehuang Zhu, Rashid Mijumbi, Xiaojiang Du, Jiankun Hu:
IriTrack: Liveness Detection Using Irises Tracking for Preventing Face Spoofing Attacks. - Georgios Papandroulidakis, Alexantrou Serb, Ali Khiat, Geoff V. Merrett, Themistoklis Prodromakis:
Practical Implementation of Memristor-Based Threshold Logic Gates. - Clarice Poon, Nicolas Keriven
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization. - Kevin Haninger, Dragoljub Surdilovic:
Bounded Collision Force by the Sobolev Norm: Compliance and Control for Interactive Robots. - Igor Shalyminov, Arash Eshghi, Oliver Lemon:
Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems. - Adrien Wion, Mathieu Bouet, Luigi Iannone, Vania Conan:
Distributed Function Chaining with Anycast Routing. - Abdul Wahab, Waqas Mehmood:
Survey of Consensus Protocols. - Fernando Alonso-Fernandez, Josef Bigün:
A Survey on Periocular Biometrics Research. - Ajay K. Sampathirao, Christian A. Hans, Jörg Raisch:
Two-Stage Consensus-Based Distributed MPC for Interconnected Microgrids. - Johannes Doleschal, Benny Kimelfeld, Wim Martens, Yoav Nahshon, Frank Neven:
Split-Correctness in Information Extraction. - Thiago Serra, Srikumar Ramalingam:
Empirical Bounds on Linear Regions of Deep Rectifier Networks. - Edo Collins, Siavash Arjomand Bigdeli, Sabine Süsstrunk:
Detecting Memorization in ReLU Networks. - Srujan Teja Thomdapu, Ketan Rajawat:
Decentralized Multi-Antenna Coded Caching with Cyclic Exchanges. - Nikhil Bansal, Raghu Meka:
On the discrepancy of random low degree set systems. - Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre:
Training Passive Photonic Reservoirs with Integrated Optical Readout. - Simon Kawuma, Evarist Nabaasa:
Identification of promoted eclipse unstable interfaces using clone detection technique. - Ghalib A. Bello, Timothy J. W. Dawes, Jinming Duan, Carlo Biffi, Antonio de Marvao, Luke S. G. E. Howard, J. Simon R. Gibbs, Martin R. Wilkins, Stuart A. Cook, Daniel Rueckert, Declan P. O'Regan:
Deep learning cardiac motion analysis for human survival prediction. - Paraschos Koutris, Jef Wijsen:
Consistent Query Answering for Primary Keys in Logspace. - Weizhi Zhu, Yifei Huang, Yuan Yao:
On Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics. - Ye Zhu, Kai Ming Ting, Yuan Jin, Maia Angelova
Hierarchical clustering that takes advantage of both density-peak and density-connectivity. - Jérémie Chalopin, Victor Chepoi:
1-Safe Petri nets and special cube complexes: equivalence and applications. - Brayan S. Zapata-Impata, Vikrant Shah, Hanumant Singh, Robert Platt:
AutOTranS: an Autonomous Open World Transportation System. - Di Hu, Feiping Nie, Xuelong Li:
Deep LDA Hashing. - Arul Selvam Periyasamy, Max Schwarz, Sven Behnke:
Robust 6D Object Pose Estimation in Cluttered Scenes using Semantic Segmentation and Pose Regression Networks. - Di Hu, Feiping Nie, Xuelong Li:
Dense Multimodal Fusion for Hierarchically Joint Representation. - Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner:
MRI Super-Resolution using Multi-Channel Total Variation. - Jürg Kohlas:
Probabilistic Argumentation and Information Algebras of Probability Potentials on Families of Compatible Frames. - Jennifer L. Gustetic, Jason Crusan, Steve Rader, Sam Ortega:
Outcome-Driven Open Innovation at NASA. - Pierre Escamilla, Abdellatif Zaidi, Michèle Angela Wigger:
Distributed Hypothesis Testing with Collaborative Detection. - Federica Turi, Nathalie T. H. Gayraud, Maureen Clerc:
Zero-calibration cVEP BCI using word prediction: a proof of concept. - Mohd Zeeshan Ansari, Tanvir Ahmad, Ali Md. Arshad:
Cross Script Hindi English NER Corpus from Wikipedia. - Christian Reul
State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines. - Phi Xuan Nguyen, Shafiq R. Joty:
Phrase-Based Attentions. - Zhu Gao, Yanhui Jiang, Junhui Gao:
Building a language evolution tree based on word vector combination model. - Shaobo Liu, Rui Cheng, Xiaoming Yu, Xueqi Cheng:
Exploiting Contextual Information via Dynamic Memory Network for Event Detection. - Stanislav Peshterliev, John Kearney, Abhyuday Jagannatha, Imre Kiss, Spyros Matsoukas:
Active Learning for New Domains in Natural Language Understanding. - Jaejin Cho, Murali Karthick Baskar, Ruizhi Li, Matthew Wiesner, Sri Harish Reddy Mallidi, Nelson Yalta, Martin Karafiát, Shinji Watanabe, Takaaki Hori:
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling. - Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal:
A Query Tool for Efficiently Investigating Risky Software Behaviors. - Kaveh Bastani, Elham Asgari, Hamed Namavari:
Wide and Deep Learning for Peer-to-Peer Lending. - Mostafa Zaman Chowdhury, Yeong Min Jang, Choong Sub Ji, Sunwoong Choi, Hongseok Jeon, Junghoon Jee, Changmin Park:
Interface Selection for Power Management in UMTS/WLAN Overlaying Network. - Mostafa Zaman Chowdhury, Won Ryu, Eunjun Rhee, Yeong Min Jang:
Handover between Macrocell and Femtocell for UMTS based Networks. - Mostafa Zaman Chowdhury, Tuan Nguyen, Young-Il Kim, Won Ryu, Yeong Min Jang:
Bandwidth Adaptation for Scalable Videos over Wireless Networks. - Mostafa Zaman Chowdhury, Sunghun Chae, Yeong Min Jang:
Group Handover Management in Mobile Femtocellular Network Deployment. - Cristian Tatino, Nikolaos Pappas, Ilaria Malanchini, Lutz Ewe, Di Yuan:
On the Benefits of Network-Level Cooperation in Millimeter-Wave Communications. - Xu Han, Hongsu Wang, Sanqian Zhang, Qunchao Fu, Jun S. Liu:
Sentence Segmentation for Classical Chinese Based on LSTM with Radical Embedding. - Arnaud Mignan:
Text Classification of the Precursory Accelerating Seismicity Corpus: Inference on some Theoretical Trends in Earthquake Predictability Research from 1988 to 2018. - Sanghyun Hong, Michael Davinroy, Yigitcan Kaya, Stuart Nevans Locke, Ian Rackow, Kevin Kulda, Dana Dachman-Soled, Tudor Dumitras:
Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks. - Albin Severinson, Alexandre Graell i Amat, Eirik Rosnes, Francisco Lázaro, Gianluigi Liva:
A Droplet Approach Based on Raptor Codes for Distributed Computing With Straggling Servers. - Sayan Bhattacharya, Janardhan Kulkarni:
An Improved Algorithm for Incremental Cycle Detection and Topological Ordering in Sparse Graphs. - Quentin Le Gall
The Influence of Canyon Shadowing on Device-to-Device Connectivity in Urban Scenario. - Luke Nicholas Darlow, Elliot J. Crowley, Antreas Antoniou, Amos J. Storkey:
CINIC-10 is not ImageNet or CIFAR-10. - Eric Neiva, Santiago Badia, Alberto F. Martín, Michele Chiumenti:
A scalable parallel finite element framework for growing geometries. Application to metal additive manufacturing. - Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Fundamental Limits of Covert Bit Insertion in Packets. - Robert Gmyr, Gopal Pandurangan:
Time-Message Trade-Offs in Distributed Algorithms. - Emmanuel Filiot, Nicolas Mazzocchi, Jean-François Raskin:
A Pattern Logic for Automata with Outputs. - Jens Lundell, Robert Krug, Erik Schaffernicht, Todor Stoyanov, Ville Kyrki:
Safe-To-Explore State Spaces: Ensuring Safe Exploration in Policy Search with Hierarchical Task Optimization. - Flávio Martins, João Magalhães, Jamie Callan:
A Vertical PRF Architecture for Microblog Search. - Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf:
NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search. - Xian Wei, Hao Shen, Martin Kleinsteuber:
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations. - Jingwoong Kim, Minkyu Kim, Heungseok Park, Ernar Kusdavletov, Dongjun Lee, Adrian Kim, Ji-Hoon Kim, Jung-Woo Ha, Nako Sung:
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms. - Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner:
Effective Parallelisation for Machine Learning. - Elias B. Khalil, Amrita Gupta, Bistra Dilkina:
Combinatorial Attacks on Binarized Neural Networks. - Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu:
An AMR Aligner Tuned by Transition-based Parser. - Joaquin Vanschoren:
Meta-Learning: A Survey. - Diptarka Chakraborty, Debarati Das, Michal Koucký:
Approximate Online Pattern Matching in Sub-linear Time. - Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie:
Multi-Source Cross-Lingual Model Transfer: Learning What to Share. - Vincent Primault, Antoine Boutet, Sonia Ben Mokhtar, Lionel Brunie:
The Long Road to Computational Location Privacy: A Survey. - Clint Sebastian, Bas Boom, Thijs van Lankveld, Egor Bondarev, Peter H. N. de With:
Bootstrapped CNNs for Building Segmentation on RGB-D Aerial Imagery. - Xintong Du, Carlos E. Luis, Marijan Vukosavljev, Angela P. Schoellig:
Fast and In Sync: Periodic Swarm Patterns for Quadrotors. - Dean Eckles, Elchanan Mossel, M. Amin Rahimian
Long ties accelerate noisy threshold-based contagions. - Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang, Yang Liu:
Improving the Transformer Translation Model with Document-Level Context. - Georg Jäger, Christian A. Mueller, Madhura Thosar, Sebastian Zug, Andreas Birk:
Towards Robot-Centric Conceptual Knowledge Acquisition. - Chinmay Hegde:
Algorithmic Aspects of Inverse Problems Using Generative Models. - Yawei Zhao, Shuang Qiu, Ji Liu:
Proximal Online Gradient is Optimum for Dynamic Regret. - Shunsuke Kitada, Ryunosuke Kotani, Hitoshi Iyatomi:
End-to-End Text Classification via Image-based Embedding using Character-level Networks. - Long Pham
Defunctionalization of Higher-Order Constrained Horn Clauses. - Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine:
SFV: Reinforcement Learning of Physical Skills from Videos. - Marc-Etienne Brunet, Colleen Alkalay-Houlihan, Ashton Anderson, Richard S. Zemel:
Understanding the Origins of Bias in Word Embeddings. - Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson:
CAML: Fast Context Adaptation via Meta-Learning. - Lin Xie, Hanyi Li, Nils Thieme:
From Simulation to Real-World Robotic Mobile Fulfillment Systems. - Ming-Deh A. Huang:
Trilinear maps for cryptography II. - Sainandan Ramakrishnan, Aishwarya Agrawal, Stefan Lee:
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization. - Camila P. S. Tautenhain, Mariá C. V. Nascimento:
An ensemble based on a bi-objective evolutionary spectral algorithm for graph clustering. - Yang Wang, Zhenheng Yang, Peng Wang, Yi Yang, Chenxu Luo, Wei Xu:
Joint Unsupervised Learning of Optical Flow and Depth by Watching Stereo Videos. - Oscar Araque, Lorenzo Gatti, Jacopo Staiano, Marco Guerini:
DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques. - Diptarka Chakraborty, Debarati Das, Elazar Goldenberg, Michal Koucký, Michael E. Saks:
Approximating Edit Distance Within Constant Factor in Truly Sub-Quadratic Time. - EmadelDin A. Mazied, Mustafa Y. ElNainay, Mohammad J. Abdel-Rahman, Scott F. Midkiff, Mohamed R. M. Rizk, Hesham A. Rakha, Allen B. MacKenzie:
The Wireless Control Plane: An Overview and Directions for Future Research. - Amit Prasad, Ivana Dusparic:
Multi-agent Deep Reinforcement Learning for Zero Energy Communities. - Chen Zhong, Ziyang Lu, Mustafa Cenk Gursoy, Senem Velipasalar:
Actor-Critic Deep Reinforcement Learning for Dynamic Multichannel Access. - Maria Bekcheva, Michel Fliess, Cédric Join, Alireza Moradi, Hugues Mounier:
Improving resource elasticity in cloud computing thanks to model-free control. - Mahdi Rad, Markus Oberweger, Vincent Lepetit:
Domain Transfer for 3D Pose Estimation from Color Images without Manual Annotations. - Luigi Freda, Mario Gianni, Fiora Pirri:
A Hybrid Approach for Trajectory Control Design. - David H. Brookes, Jennifer Listgarten:
Design by adaptive sampling. - Ali Borji:
Saliency Prediction in the Deep Learning Era: An Empirical Investigation. - Judy Hanwen Shen, Matthias Hofer, Bjarke Felbo, Roger Levy:
Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language Games. - Zahra Aghazadeh, Damien Imbs, Michel Raynal, Gadi Taubenfeld, Philipp Woelfel:
Optimal Memory-Anonymous Symmetric Deadlock-Free Mutual Exclusion. - Emilien Dupont, Suhas Suresha:
Probabilistic Semantic Inpainting with Pixel Constrained CNNs. - Rui Zhang, Christian J. Walder, Marian-Andrei Rizoiu
Efficient Non-parametric Bayesian Hawkes Processes. - Shashanka Ubaru, Abd-Krim Seghouane, Yousef Saad:
Find the dimension that counts: Fast dimension estimation and Krylov PCA. - Lewis Hammond, Vaishak Belle:
Deep Tractable Probabilistic Models for Moral Responsibility. - Siddhant Ranade, Srikumar Ramalingam:
Novel Single View Constraints for Manhattan 3D Line Reconstruction. - Ting-Jui Chang, Yukun He, Peng Li:
Efficient Two-Step Adversarial Defense for Deep Neural Networks. - Marcelo O. R. Prates, Luís C. Lamb:
Problem Solving at the Edge of Chaos: Entropy, Puzzles and the Sudoku Freezing Transition. - Felipe Zilio, Marcelo O. R. Prates, Luís C. Lamb:
Neural Networks Models for Analyzing Magic: the Gathering Cards. - Alexander Neergaard Olesen, Poul Jennum, Paul E. Peppard, Emmanuel Mignot, Helge Bjarup Dissing Sørensen:
Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms. - Tin Lai
Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees. - Muddassar Hussain, Nicolò Michelusi:
Coded Energy-Efficient Beam-Alignment for Millimeter-Wave Networks. - Kuan-Hui Lee, Germán Ros, Jie Li, Adrien Gaidon:
SPIGAN: Privileged Adversarial Learning from Simulation. - Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas:
A Summary of the 4th International Workshop on Recovering 6D Object Pose. - Shilpi Goel, Matt Kaufmann:
Proceedings of the 15th International Workshop on the ACL2 Theorem Prover and Its Applications, Austin, Texas, USA, November 5-6, 2018. EPTCS 280, 2018 [contents] - Nicholas Egan, Jeffrey Zhang, Kevin Shen:
Generalized Latent Variable Recovery for Generative Adversarial Networks. - Shuai Yang, Jiaying Liu, Wenhan Yang, Zongming Guo:
Context-Aware Text-Based Binary Image Stylization and Synthesis. - Denis S. Krotov:
The existence of perfect codes in Doob graphs. - Matt Olfat, Anil Aswani:
Average Margin Regularization for Classifiers. - Shafeeq Elanattil, Peyman Moghadam, Simon Denman, Sridha Sridharan, Clinton Fookes:
Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction. - David Ha:
Reinforcement Learning for Improving Agent Design. - Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan S. Kankanhalli:
Unsupervised Online Video Object Segmentation with Motion Property Understanding. - Ruiqi Cheng, Kaiwei Wang, Longqing Lin, Kailun Yang:
Visual Localization of Key Positions for Visually Impaired People. - Pasin Manurangsi:
A Note on Max k-Vertex Cover: Faster FPT-AS, Smaller Approximate Kernel and Improved Approximation. - Jiawei Li, Jingpeng Li, Ruibin Bai, Robert Duncan, Muchen Li, Graham Kendall:
Collective Strategies with a Master-slave Mechanism Dominate in Spatial Iterated Prisoner's Dilemma. - Craig Bakker, Michael J. Henry, Nathan O. Hodas:
The Outer Product Structure of Neural Network Derivatives. - Brandon Carter, Jonas Mueller, Siddhartha Jain, David K. Gifford:
What made you do this? Understanding black-box decisions with sufficient input subsets. - Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang, Chaomin Shen:
The Adversarial Attack and Detection under the Fisher Information Metric. - Nicola Paoletti, Zhihao Jiang, Md. Ariful Islam, Houssam Abbas, Rahul Mangharam, Shan Lin, Zachary Gruber, Scott A. Smolka:
Synthesizing Stealthy Reprogramming Attacks on Cardiac Devices. - Xiaoming Sun, Yuan Sun, Kewen Wu, Zhiyu Xia:
On the Relationship between Energy Complexity and Other Boolean Function Measures. - Moran Feldman:
Guess Free Maximization of Submodular and Linear Sums. - Shahin Shahrampour, Vahid Tarokh:
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels. - Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang:
Knowing Where to Look? Analysis on Attention of Visual Question Answering System. - Ala Darabseh, Nikolaos M. Freris:
A software-defined architecture for control of IoT Cyberphysical Systems. - Tobias Weber, Dieter Kranzlmüller:
How FAIR can you get? Image Retrieval as a Use Case to calculate FAIR Metrics. - Abhik Singla, Shounak Bhattacharya, Dhaivat Dholakiya, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya:
Realizing Learned Quadruped Locomotion Behaviors through Kinematic Motion Primitives. - Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang:
Deep Attentive Tracking via Reciprocative Learning. - Rufin VanRullen, Leila Reddy:
Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks. - Miralem Mehic, Peppino Fazio, Stefan Rass, Oliver Maurhart, Momtchil Peev, Andreas Poppe, Jan Rozhon, Marcin Niemiec, Miroslav Voznák:
A Novel Approach to Quality of Service Provisioning in Trusted Relay Quantum Key Distribution Networks. - Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke:
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation. - Florian Barbero, Lucas Isenmann, Jocelyn Thiebaut:
On the Distance Identifying Set meta-problem and applications to the complexity of identifying problems on graphs. - Mina Rezaei, Haojin Yang, Christoph Meinel:
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation. - Yulin Zhang, Dylan A. Shell, Jason M. O'Kane:
What does my knowing your plans tell me? - Aliaksandr Huminski, Hao Zhang, Gangeshwar Krishnamurthy:
Towards Verifying Semantic Roles Co-occurrence. - Aliaksandr Huminski, Hao Zhang:
Event Representation through Semantic Roles: Evaluation of Coverage. - Hugo Caselles-Dupré
Continual State Representation Learning for Reinforcement Learning using Generative Replay. - Michele Polese, Federico Chiariotti, Elia Bonetto, Filippo Rigotto
A Survey on Recent Advances in Transport Layer Protocols. - Ravimal Bandara:
Image Segmentation using Unsupervised Watershed Algorithm with an Over-segmentation Reduction Technique. - Mengchen Liu, Shixia Liu, Hang Su, Kelei Cao, Jun Zhu:
Analyzing the Noise Robustness of Deep Neural Networks. - Taha Alfaqheri, Seif Allah El Mesloul Nasri, Abdul Hamid Sadka:
3D Holoscopic Imaging for Cultural Heritage Digitalisation. - Lokesh Kumar Sharma, Namita Mittal:
Answer Extraction in Question Answering using Structure Features and Dependency Principles. - Ferenc Hegedüs:
Modular, general purpose ODE integration package to solve large number of independent ODE systems on GPUs. - Dominic Etienne Charrier, Benjamin Hazelwood, Andrey Kudryavtsev, Alexander A. Moskovsky, Ekaterina O. Tutlyaeva, Tobias Weinzierl:
Studies on the energy and deep memory behaviour of a cache-oblivious, task-based hyperbolic PDE solver. - Piotr Gawlowicz, Anatolij Zubow:
ns3-gym: Extending OpenAI Gym for Networking Research. - Corina Barbalata, Ram Vasudevan, Matthew Johnson-Roberson:
A constrained control-planning strategy for redundant manipulators. - Xiaobo Huang:
Convolutional Neural Networks In Convolution. - Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze:
textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior. - Shaun D'Souza
Holistic generational offsets: Fostering a primitive online abstraction for human vs. machine cognition. - Guillaume Caron, Mounya Belghiti, Anthony Dessaux:
3D model silhouette-based tracking in depth images for puppet suit dynamic video-mapping. - Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt:
Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks. - Qingqing Wu, Rui Zhang:
Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming. - Umar Asif, Jianbin Tang, Stefan Harrer:
Densely Supervised Grasp Detector (DSGD). - (Withdrawn) DSVO: Direct Stereo Visual Odometry.
- Mohammad K. Jubran, Alhabib Abbas, Aaron Chadha, Yiannis Andreopoulos:
Rate-Accuracy Trade-Off In Video Classification With Deep Convolutional Neural Networks. - Aniket Bera, Dinesh Manocha:
Interactive Surveillance Technologies for Dense Crowds. - Yang Gao, Swarup Chandra, Zhuoyi Wang, Latifur Khan:
Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics. - Mhafuzul Islam, Mashrur Chowdhury, Hongda Li, Hongxin Hu:
Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards. - Steffen Bruns, Jelmer M. Wolterink, Robbert W. van Hamersvelt, Majd Zreik, Tim Leiner, Ivana Isgum:
Improving Myocardium Segmentation in Cardiac CT Angiography using Spectral Information. - Nicoló Savioli, Miguel Silva Vieira
A Generative Adversarial Model for Right Ventricle Segmentation. - Alexander Prange, Michael Barz, Daniel Sonntag:
A categorisation and implementation of digital pen features for behaviour characterisation. - Zeqing Fu, Wei Hu, Zongming Guo:
Local Frequency Interpretation and Non-Local Self-Similarity on Graph for Point Cloud Inpainting. - Dmitry Yarotsky:
Collective evolution of weights in wide neural networks. - Parnia Bahar, Christopher Brix, Hermann Ney:
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation. - Amara Dinesh Kumar, R. Vinayakumar, K. P. Soman:
DeepImageSpam: Deep Learning based Image Spam Detection. - Lukas Cavigelli, Luca Benini:
Extended Bit-Plane Compression for Convolutional Neural Network Accelerators. - Allison Beemer, Ryan Coatney, Venkatesan Guruswami, Hiram H. López, Fernando Piñero:
Explicit optimal-length locally repairable codes of distance 5. - Hoa Nguyen Phuong, Huyen Tran Ngoc Nhat, Minh Hoàng Hà, André Langevin, Martin Trépanier:
Solving the clustered traveling salesman problem with d-relaxed priority rule. - Reinhard Heckel, Paul Hand:
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks. - Yu-Han Shen, Ke-Xin He, Wei-Qiang Zhang:
SAM-GCNN: A Gated Convolutional Neural Network with Segment-Level Attention Mechanism for Home Activity Monitoring. - Anupama Goparaju, Ibolya Csecs, Alan Morris, Evgueni Kholmovski, Nassir Marrouche, Ross T. Whitaker, Shireen Y. Elhabian:
On the Evaluation and Validation of Off-the-shelf Statistical Shape Modeling Tools: A Clinical Application. - Chengyao Du
GPU based Parallel Optimization for Real Time Panoramic Video Stitching. - Zhongwei Xie, Lin Li, Xian Zhong, Luo Zhong:
Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings. - Lianlin Li, Long Gang Wang, Fernando L. Teixeira, Che Liu, Arye Nehorai, Tie Jun Cui:
DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering. - Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru:
Model Cards for Model Reporting. - Sina Ahmadi:
Learning Noun Cases Using Sequential Neural Networks. - Dufan Wu, Kyung Sang Kim, Quanzheng Li:
Computationally Efficient Cascaded Training for Deep Unrolled Network in CT Imaging. - Zhaohui Chao, Lin Li:
The combination of context information to enhance simple question answering. - Bowen Cheng, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-mei W. Hwu, Thomas S. Huang, Honghui Shi:
Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection. - Florent Capelli, Yann Strozecki:
Enumerating models of DNF faster: breaking the dependency on the formula size. - Dmitry A. Lachinov, Evgeny Vasiliev, Vadim Turlapov:
Glioma Segmentation with Cascaded Unet. - Risheng Liu, Long Ma, Yiyang Wang, Lei Zhang:
Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement. - Amanda Prorok:
Redundant Robot Assignment on Graphs with Uncertain Edge Costs. - Hans Meine, Grzegorz Chlebus, Mohsen Ghafoorian, Itaru Endo, Andrea Schenk:
Comparison of U-net-based Convolutional Neural Networks for Liver Segmentation in CT. - Md. Zakir Hossain, Ferdous Sohel, Mohd Fairuz Shiratuddin, Hamid Laga:
A Comprehensive Survey of Deep Learning for Image Captioning. - Neslisah Torosdagli, Denise K. Liberton, Payal Verma, Murat Sincan, Janice S. Lee, Ulas Bagci:
Deep Geodesic Learning for Segmentation and Anatomical Landmarking. - Hao Zhang, Jianwei Ma:
Hartley Spectral Pooling for Deep Learning. - Sang Jun Lee, Sang Woo Kim, Wookyong Kwon, Gyogwon Koo, Jong Pil Yun:
Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System. - Benjamin Hazelwood, Tobias Weinzierl:
Coloured and task-based stencil codes. - Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian R. Lane, Xiaobing Liu:
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention. - Mason Swofford, John Peruzzi:
Conversational Group Detection With Deep Convolutional Networks. - Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, Pan Li:
Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning. - Ancheng Lin, Jun Li, Zhenyuan Ma:
On Learning and Learned Representation with Dynamic Routing in Capsule Networks. - Samvit Jain, Joseph E. Gonzalez:
Inter-BMV: Interpolation with Block Motion Vectors for Fast Semantic Segmentation on Video. - Jean-Marie Chauvet:
The 30-Year Cycle In The AI Debate. - Ian Xiao:
A Distributed Reinforcement Learning Solution With Knowledge Transfer Capability for A Bike Rebalancing Problem. - Vajira Thambawita, Roshan G. Ragel, Dhammika Elkaduwe:
To Use or Not to Use: CPUs' Cache Optimization Techniques on GPGPUs. - Miao Cheng, Zunren Liu, Hongwei Zou, Ah Chung Tsoi:
A Family of Maximum Margin Criterion for Adaptive Learning. - Pashupati Hegde, Markus Heinonen, Harri Lähdesmäki, Samuel Kaski:
Deep learning with differential Gaussian process flows. - Rui Wang, Te Tang, Masayoshi Tomizuka:
Learn the Manipulation of Deformable Objects Using Tangent Space Point Set Registration. - Srdan Kitic, Alexandre Guérin:
TRAMP: Tracking by a Real-time AMbisonic-based Particle filter. - Rémy Degenne, Thomas Nedelec, Clément Calauzènes, Vianney Perchet:
Bridging the gap between regret minimization and best arm identification, with application to A/B tests. - Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano:
Geometry meets semantics for semi-supervised monocular depth estimation. - Loris Bazzani, Tobias Domhan, Felix Hieber:
Image Captioning as Neural Machine Translation Task in SOCKEYE. - Mehdi Mohammadi, Ala I. Al-Fuqaha:
Enabling Cognitive Smart Cities Using Big Data and Machine Learning: Approaches and Challenges. - Yeqi Liu, Yingyi Chen, HuiHui Yu, Xiaomin Fang, Chuanyang Gong:
Real time expert system for anomaly detection of aerators based on computer vision technology and existing surveillance cameras. - Ashwin Ganesan:
Performance of distributed algorithms for QoS in wireless ad hoc networks: arbitrary networks under the primary interference model, and line networks under the protocol interference model. - Sergio Rivas-Gomez, Roberto Gioiosa, Ivy Bo Peng, Gokcen Kestor, Sai Narasimhamurthy, Erwin Laure, Stefano Markidis:
MPI Windows on Storage for HPC Applications. - Gonçalo Marcelino, Ricardo Pinto, João Magalhães:
Ranking News-Quality Multimedia. - Ksenia Konyushkova, Raphael Sznitman, Pascal Fua:
Discovering General-Purpose Active Learning Strategies. - Mehdi Mohammadi, Ala I. Al-Fuqaha, Mohsen Guizani, Jun-Seok Oh:
Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart City Services. - Dennis G. Wilson, Julian F. Miller, Sylvain Cussat-Blanc, Hervé Luga:
Positional Cartesian Genetic Programming. - Christopher Gorman, Gustavo Chávez, Pieter Ghysels, Théo Mary, François-Henry Rouet, Xiaoye Sherry Li:
Matrix-free construction of HSS representation using adaptive randomized sampling. - Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath:
Learning One-hidden-layer Neural Networks under General Input Distributions. - Yuan Zhang, Jason Riesa, Daniel Gillick, Anton Bakalov, Jason Baldridge, David Weiss:
A Fast, Compact, Accurate Model for Language Identification of Codemixed Text. - Amara Dinesh Kumar, Koti Naga Renu Chebrolu, R. Vinayakumar, Soman K. P:
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities. - Sergio Rivas-Gomez, Sai Narasimhamurthy, Keeran Brabazon, Oliver Perks, Erwin Laure, Stefano Markidis:
Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks. - Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi:
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. - Sergio Rivas-Gomez, Antonio J. Peña, David Moloney, Erwin Laure, Stefano Markidis:
Exploring the Vision Processing Unit as Co-processor for Inference. - George Tucker, Dieterich Lawson, Shixiang Gu, Chris J. Maddison:
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives. - Benjamin Planche, Sergey Zakharov, Ziyan Wu, Andreas Hutter, Harald Kosch, Slobodan Ilic:
Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition. - Myung Seok Shim, Peng Li:
Optimized Gated Deep Learning Architectures for Sensor Fusion. - Martin Babka:
A Note On the Size of Largest Bins Using Placement With Linear Transformations. - Carlos M. Lorenzetti:
Caracterización Formal y Análisis Empírico de Mecanismos Incrementales de Búsqueda basados en Contexto. - Ruhollah Majdoddin:
Uniform CSP Parameterized by Solution Size is in W[1]. - Maria Lombardi, Davide Liuzza, Mario di Bernardo:
Using learning to control artificial avatars in human motor coordination tasks. - Grzegorz Korcyl, Piotr Korcyl:
Towards Lattice Quantum Chromodynamics on FPGA devices. - Pasin Manurangsi, Daniel Reichman:
The Computational Complexity of Training ReLU(s). - Arun Pandian, Lamana Mulaffer, Kemal Oflazer
Event Coreference Resolution Using Neural Network Classifiers. - Chris D. Cantwell, Yumnah Mohamied, Konstantinos N. Tzortzis, Stef Garasto, Charles Houston, Rasheda A. Chowdhury, Fu Siong Ng, Anil A. Bharath, Nicholas S. Peters:
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling. - Sarah A. Obead, Hsuan-Yin Lin, Eirik Rosnes, Jörg Kliewer:
Capacity of Private Linear Computation for Coded Databases. - Kun Wan, Boyuan Feng, Shu Yang, Yufei Ding:
Penetrating the Fog: the Path to Efficient CNN Models. - Kyle D. Julian, Mykel J. Kochenderfer, Michael P. Owen:
Deep Neural Network Compression for Aircraft Collision Avoidance Systems. - Jordan B. Chipka, Mark Campbell:
Autonomous Urban Localization and Navigation with Limited Information. - Kyle D. Julian, Mykel J. Kochenderfer:
Distributed Wildfire Surveillance with Autonomous Aircraft using Deep Reinforcement Learning. - Mohammed Jabi, Marco Pedersoli, Amar Mitiche, Ismail Ben Ayed:
Deep clustering: On the link between discriminative models and K-means. - Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger:
Deep supervised feature selection using Stochastic Gates. - Sourya Dipta Das, Akash Kumar
Bird Species Classification using Transfer Learning with Multistage Training. - Qixuan Huang, Yiqiu Wang, Tharun Medini, Anshumali Shrivastava:
Extreme Classification in Log Memory. - Yu Zhao, Hsien-Chung Lin, Masayoshi Tomizuka:
Efficient Trajectory Optimization for Robot Motion Planning. - Martin Aleksandrov, Cunjing Ge, Toby Walsh:
Fair Division Minimizing Inequality. - Vishwesh Nath, Prasanna Parvathaneni, Colin B. Hansen, Allison E. Hainline, Camilo Bermudez, Samuel Remedios, Justin A. Blaber, Kurt G. Schilling, Ilwoo Lyu, Vaibhav A. Janve, Yurui Gao, Iwona Stepniewska, Baxter P. Rogers, Allen T. Newton, Larry Taylor Davis, Jeffrey Luci, Adam W. Anderson, Bennett A. Landman:
Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning. - Mauricio Toro:
Current Trends and Future Research Directions for Interactive Music. - Jiaqing Jiang, Xiaoming Sun, Yuan Sun, Kewen Wu
Structured decomposition for reversible Boolean functions. - Tomás Krajník, Tomas Vintr, Sergi Molina Mellado, Jaime Pulido Fentanes, Grzegorz Cielniak, Tom Duckett:
Warped Hypertime Representations for Long-term Autonomy of Mobile Robots. - Xusen Yin, Nada Aldarrab, Beáta Megyesi, Kevin Knight:
Decipherment of Historical Manuscript Images. - Jaroslaw Blasiok, Venkatesan Guruswami, Madhu Sudan:
Polar Codes with exponentially small error at finite block length. - Mohammad Deghat, Valery A. Ugrinovskii, Iman Shames, Cedric Langbort:
Detection and Mitigation of Biasing Attacks on Distributed Estimation Networks. - Mohammed Alloulah, Anton Isopoussu, Chulhong Min, Fahim Kawsar:
On Tracking the Physicality of Wi-Fi: A Subspace Approach. - Erdem Biyik, Dorsa Sadigh:
Batch Active Preference-Based Learning of Reward Functions. - Micah J. Sheller, G. Anthony Reina, Brandon Edwards, Jason Martin, Spyridon Bakas:
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation. - Alessandro Coglio:
A Simple Java Code Generator for ACL2 Based on a Deep Embedding of ACL2 in Java. 1-17 - Mihir Parang Mehta:
Formalising Filesystems in the ACL2 Theorem Prover: an Application to FAT32. 18-29 - David A. Greve, Andrew Gacek:
Trapezoidal Generalization over Linear Constraints. 30-46 - Sol Swords
Incremental SAT Library Integration Using Abstract Stobjs. 47-60 - David S. Hardin, Konrad Slind:
Using ACL2 in the Design of Efficient, Verifiable Data Structures for High-Assurance Systems. 61-76 - Alessandro Coglio, Shilpi Goel
Adding 32-bit Mode to the ACL2 Model of the x86 ISA. 77-94 - Ruben Gamboa, John R. Cowles:
The Fundamental Theorem of Algebra in ACL2. 98-110 - Carl Kwan, Mark R. Greenstreet:
Real Vector Spaces and the Cauchy-Schwarz Inequality in ACL2(r). 111-127 - Carl Kwan, Mark R. Greenstreet:
Convex Functions in ACL2(r). 128-142 - Yan Peng, Mark R. Greenstreet:
Smtlink 2.0. 143-160 - Sol Swords
Hint Orchestration Using ACL2's Simplifier. 164-171 - Oliver J. Woodford:
Using Normalized Cross Correlation in Least Squares Optimizations. - Subhash Khot, Assaf Naor:
The Andoni-Krauthgamer-Razenshteyn characterization of sketchable norms fails for sketchable metrics. - Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya:
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach. - Itai Ashlagi, Amin Saberi, Ali Shameli:
Assignment Mechanisms under Distributional Constraints. - Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine. - Mohamed Osama Ahmed, Sharan Vaswani, Mark Schmidt:
Combining Bayesian Optimization and Lipschitz Optimization. - Hung The Nguyen, Vu Phi Tran, Tung Nguyen
Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction. - Shrinu Kushagra, Shai Ben-David, Ihab F. Ilyas:
Semi-supervised clustering for de-duplication. - Denis K. Ponomaryov, Stepan Yakovenko:
DeFind: A Protege Plugin for Computing Concept Definitions in EL Ontologies. - Nathan D. Wallace, He Kong, Andrew John Hill, Salah Sukkarieh:
Receding horizon estimation and control with structured noise blocking for mobile robot slip compensation. - Rajat Talak, Sertac Karaman, Eytan H. Modiano:
Can Determinacy Minimize Age of Information? - Lili Huang, Jiefeng Peng, Ruimao Zhang, Guanbin Li, Liang Lin:
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview. - Esther Galby, Paloma T. Lima, Daniël Paulusma, Bernard Ries:
Classifying k-Edge Colouring for H-free Graphs. - Deniz Mengu, Yi Luo, Yair Rivenson, Xing Lin, Muhammed Veli, Aydogan Ozcan:
Response to Comment on "All-optical machine learning using diffractive deep neural networks". - Yuwen Huang, Yuan Liu, Geoffrey Ye Li:
Energy Efficiency of Distributed Antenna Systems with Wireless Power Transfer. - Tamal K. Dey, Ryan Slechta
Filtration Simplification for Persistent Homology via Edge Contraction. - Luca Rossetto
V3C - a Research Video Collection. - Jisu Kim, Hyungbo Shim, Jin Heon Seo:
State Estimation and Tracking Control for Hybrid Systems by Gluing the Domains. - Lin Zhang, Ying-Chang Liang, Ming Xiao:
Spectrum Sharing for Internet of Things: A Survey. - Suiyi Ling, Jesús Gutiérrez, Ke Gu, Patrick Le Callet:
Prediction of the Influence of Navigation Scan-path on Perceived Quality of Free-Viewpoint Videos. - Kostiantyn Maksymenko, Maureen Clerc, Théodore Papadopoulo:
Fast Approximation of EEG Forward Problem and Application to Tissue Conductivity Estimation. - Tamas B. Fehér, Matthias Hoelzl, Guillaume Latu, G. T. A. Huijsmans:
Performance analysis and optimization of the JOREK code for many-core CPUs. - Jipeng Qiang:
Improving Neural Text Simplification Model with Simplified Corpora. - Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu:
Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information. - Giancarlo D. Salton, John D. Kelleher:
Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists. - Rika Antonova, Mia Kokic, Johannes A. Stork, Danica Kragic:
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation. - Jayashree Gajjam, Diptesh Kanojia, Malhar Kulkarni:
New Vistas to study Bhartrhari: Cognitive NLP. - Francescomaria Faticanti, Francesco De Pellegrini, Domenico Siracusa, Daniele Santoro, Silvio Cretti:
Cutting Throughput on the Edge: App-Aware Placement in Fog Computing. - Zheng Tian, Shihao Zou, Tim Warr, Lisheng Wu, Jun Wang:
Learning Multi-agent Implicit Communication Through Actions: A Case Study in Contract Bridge, a Collaborative Imperfect-Information Game. - Sharif Amit Kamran, Ahmed Imtiaz Humayun, Samiul Alam, Rashed Mohammad Doha, Manash Kumar Mandal, Tahsin Reasat, Fuad Rahman:
AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018. - Zhaohui Che, Ali Borji, Guangtao Zhai, Xiongkuo Min:
Invariance Analysis of Saliency Models versus Human Gaze During Scene Free Viewing. - (Withdrawn) Cluster Pairwise Error Probability and Construction of Parity-Check-Concatenated Polar Codes.
- Daniele De Gregorio, Gianluca Palli, Luigi Di Stefano:
Let's take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation. - Congqing He, Li Peng, Yuquan Le, Jiawei He:
SECaps: A Sequence Enhanced Capsule Model for Charge Prediction. - David Martínez-Rubio, Varun Kanade, Patrick Rebeschini:
Decentralized Cooperative Stochastic Multi-armed Bandits. - Yuri M. Monakhov, Anna P. Kuznetsova:
Analysis Of Congestion Control In Data Channels With Frequent Frame Loss. - (Withdrawn) Domain Confusion with Self Ensembling for Unsupervised Adaptation.
- Ireneusz Szczesniak, Andrzej Jajszczyk, Bozena Wozna-Szczesniak:
Generic Dijkstra for Optical Networks. - Prayag Tiwari, Massimo Melucci:
Multi-class Classification Model Inspired by Quantum Detection Theory. - Diptesh Kanojia, Nikhil Wani, Pushpak Bhattacharyya:
Is your Statement Purposeless? Predicting Computer Science Graduation Admission Acceptance based on Statement Of Purpose. - Vincent Lostanlen:
On Time-frequency Scattering and Computer Music. - Zhi-Lin Ke, Hsiang-Yun Cheng, Chia-Lin Yang:
LIRS: Enabling efficient machine learning on NVM-based storage via a lightweight implementation of random shuffling. - Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Frederick Tung, Leonid Sigal:
Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos. - Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Ying-Chang Liang, Dong In Kim:
Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks. - Mostafa Shahriari, David Pardo, Artzai Picón, Adrian Galdran, Javier Del Ser, Carlos Torres-Verdín:
A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements. - Brenda Salenave Santana, Vinicius Woloszyn, Leandro Krug Wives:
Is there Gender bias and stereotype in Portuguese Word Embeddings? - David Semedo, João Magalhães, Flávio Martins:
Inferring User Gender from User Generated Visual Content on a Deep Semantic Space. - Rafik Hadfi:
Investigating Enactive Learning for Autonomous Intelligent Agents. - Harinaivo Andriatahiny, Jean Jacques Ferdinand Randriamiarampanahy, Toussaint Joseph Rabeherimanana:
A decoding algorithm for binary linear codes using Groebner bases. - Lei Ma, Felix Juefei-Xu, Minhui Xue, Qiang Hu, Sen Chen, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See:
Secure Deep Learning Engineering: A Software Quality Assurance Perspective. - Patrick W. Koch, Birgit Hofer, Franz Wotawa:
On the Refinement of Spreadsheet Smells by means of Structure Information. - David Semedo, João Magalhães:
Temporal Cross-Media Retrieval with Soft-Smoothing. - Katrin Casel, Henning Fernau, Mehdi Khosravian Ghadikolaei
On the Complexity of Solution Extension of Optimization Problems. - J. Gerard Wolff:
Interpreting Winograd Schemas Via the SP Theory of Intelligence and Its Realisation in the SP Computer Model. - Su Chang, Zhenzong Xu, Gao Xuan:
Improvement of K Mean Clustering Algorithm Based on Density. - George Christodoulou, Themistoklis Melissourgos, Paul G. Spirakis:
Strategic Contention Resolution in Multiple Channels. - Peter Sugimura, Florian Hartl:
Building a Reproducible Machine Learning Pipeline. - Andrea Geraci, Mattia Nardotto, Tommaso Reggiani, Fabio Sabatini:
Broadband Internet and Social Capital. - Xiaoqi Tan, Alberto Leon-Garcia:
Autonomous Mobility and Energy Service Management in Future Smart Cities: An Overview. - Yifan Wu, George Tucker, Ofir Nachum:
The Laplacian in RL: Learning Representations with Efficient Approximations. - Matteo Bugli
ECHO-3DHPC: Advance the performance of astrophysics simulations with code modernization. - Hui Miao, Amol Deshpande:
Understanding Data Science Lifecycle Provenance via Graph Segmentation and Summarization. - Duwon Hong, Myungsuk Kim, Jisung Park, Myoungsoo Jung, Jihong Kim:
Revitalizing Copybacks in Modern SSDs: Why and How. - Sven Helmer, Vuong M. Ngo:
A Similarity Measure for Weaving Patterns in Textiles. - Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani:
Building an Ontology for the Domain of Plant Science using Protégé. - Uchi Ugobame Uchibeke, Sara Hosseinzadeh Kassani, Kevin A. Schneider, Ralph Deters:
Blockchain access control Ecosystem for Big Data security. - Nan Wang, Michail Matthaiou, Dimitrios S. Nikolopoulos, Blesson Varghese:
DYVERSE: DYnamic VERtical Scaling in Multi-tenant Edge Environments. - Syeda Munazza Marium, Liaquat Ali Thebo, Syed Naveed Ahmed jaffari, Muhammad Hunain Memon
Time Efficient Data Migration among Clouds. - Andreas Abel, Jan Reineke:
uops.info: Characterizing Latency, Throughput, and Port Usage of Instructions on Intel Microarchitectures. - Yaqian Zhang, Zhifang Zhang:
Scalar MSCR Codes via the Product Matrix Construction. - Édouard Bonnet, Nicolas Bousquet, Pierre Charbit, Stéphan Thomassé
Parameterized Complexity of Independent Set in H-Free Graphs. - Daolin Ma
Dense Tactile Force Distribution Estimation using GelSlim and inverse FEM. - Kai Suto, Akito Adachi, Tomohiro Tachi, Yasushi Yamaguchi
An Edge Extrusion-Approach to Generate Extruded Miura-Ori and Its Double Tiling Origami Patterns. - Katrin Casel, Henning Fernau, Mehdi Khosravian Ghadikolaei
Extension of vertex cover and independent set in some classes of graphs and generalizations. - Won-Ik Cho, Woo Hyun Kang, Nam Soo Kim:
Structured Argument Extraction of Korean Question and Command. - Seunghyun Yoon, Seokhyun Byun, Kyomin Jung:
Multimodal Speech Emotion Recognition Using Audio and Text. - Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu:
Virtual Battery Parameter Identification using Transfer Learning based Stacked Autoencoder. - Michael Frey, Cenk Gündogan, Peter Kietzmann, Martine Lenders, Hauke Petersen, Thomas C. Schmidt, Felix Shzu-Juraschek, Matthias Wählisch:
Security for the Industrial IoT: The Case for Information-Centric Networking. - Aubrey G. Jaffer:
The Lamb-Oseen Vortex and Paint Marbling. - Ozan Sener, Vladlen Koltun:
Multi-Task Learning as Multi-Objective Optimization. - Eric Dodds, Huy Nguyen, Simao Herdade, Jack Culpepper, Andrew Kae, Pierre Garrigues:
Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling. - Emma Dauterman, Henry Corrigan-Gibbs, David Mazières, Dan Boneh, Dominic Rizzo:
True2F: Backdoor-resistant authentication tokens. - Margit Antal, Elöd Egyed-Zsigmond:
Intrusion Detection Using Mouse Dynamics. - Ranveer Singh, Vivek Vijay, Ravindra B. Bapat:
Algorithm for B-partitions, parameterized complexity of the matrix determinant and permanent. - Steven Jeuris, Paolo Tell, Steven Houben, Jakob E. Bardram:
The Hidden Cost of Window Management. - Yining Hu, Madhusanka Liyanage
The Use of Smart Contracts and Challenges. - Sebastian Gehrmann, Falcon Z. Dai, Henry Elder, Alexander M. Rush:
End-to-End Content and Plan Selection for Data-to-Text Generation. - Yinghao Huang, Manuel Kaufmann, Emre Aksan, Michael J. Black, Otmar Hilliges, Gerard Pons-Moll:
Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time. - Hao-Wen Dong
Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation. - Seyedakbar Mostafavi, Fatemeh Ahmadi, Mehdi Agha Sarram:
Reinforcement-Learning-based Foresighted Task Scheduling in Cloud Computing. - Paul Wild, Lutz Schröder, Dirk Pattinson, Barbara König:
A van Benthem Theorem for Quantitative Probabilistic Modal Logic. - David Burstein, Franklin Kenter, Feng Shi:
Leveraging local network communities to predict academic performance. - Jack Collins, Wade Geles, David Howard, Frédéric Maire:
Towards the Targeted Environment-Specific Evolution of Robot Components. - David Qiu, Anuran Makur, Lizhong Zheng:
Probabilistic Clustering Using Maximal Matrix Norm Couplings. - T. Hoang Ngan Le, Raajitha Gummadi, Marios Savvides:
Deep Recurrent Level Set for Segmenting Brain Tumors. - Sung-En Chang, Xun Zheng, Ian En-Hsu Yen, Pradeep Ravikumar, Rose Yu:
Learning Tensor Latent Features. - Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru:
Leveraging Textual Specifications for Grammar-based Fuzzing of Network Protocols. - Vincent T. Lee, Armin Alaghi, Luis Ceze, Mark Oskin:
Stochastic Synthesis for Stochastic Computing. - Michael Gowanlock:
Technical Report: KNN Joins Using a Hybrid Approach: Exploiting CPU/GPU Workload Characteristics. - Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding:
Towards Differentially Private Truth Discovery for Crowd Sensing Systems. - Pawel Parys:
Recursion Schemes, the MSO Logic, and the U quantifier. - Robert E. Kent:
The IFF Foundation for Ontological Knowledge Organization. - Robert E. Kent:
Distributed Conceptual Structures. - Carlos Lima Azevedo, João L. Cardoso, Moshe E. Ben-Akiva:
Probabilistic Safety Analysis using Traffic Microscopic Simulation. - Georgios Kontaxis, Angelos D. Keromytis, Georgios Portokalidis:
Redirect2Own: Protecting the Intellectual Property of User-uploaded Content through Off-site Indirect Access. - Sreelakshmi Manjunath, Gopal Krishna Kamath, Gaurav Raina:
Stability, convergence, and limit cycles in some human physiological processes. - Rui Hu, Jun Tong, Jiangtao Xi, Qinghua Guo, Yanguang Yu:
Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments. - Michael A. Slawinski, Andy Wortman:
Applications of PageRank to Function Comparison and Malware Classification. - Humberto Stein Shiromoto, Max Revay, Ian R. Manchester:
Distributed Nonlinear Control Design using Separable Control Contraction Metrics. - Vladislav Taynitskiy, Elena A. Gubar, Quanyan Zhu:
Optimal Impulse Control of SIR Epidemics over Scale-Free Networks. - Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. - Tamal K. Dey, Tao Hou, Sayan Mandal:
Persistent 1-Cycles: Definition, Computation, and Its Application. - Fei Tan, Zhi Wei, Jun He, Xiang Wu, Bo Peng, Haoran Liu, Zhenyu Yan:
A Blended Deep Learning Approach for Predicting User Intended Actions. - Shangwen Wang, Xiaoguang Mao, Yue Yu:
An Initial Step Towards Organ Transplantation Based on GitHub Repository. - Zheng Yang, Hang Lei:
FEther: An Extensible Definitional Interpreter for Smart-contract Verifications in Coq. - Seyedakbar Mostafavi, Mahbobe Ghafori, Mehdi Agha Sarram:
A new clustering algorithm for prolonging the lifetime of wireless sensor networks. - Zicong Zhou, Ben Hildebrand, Xi Chen, Guojun Liao:
Computational Technologies for Brain Morphometry. - Sandeep Mathias, Diptesh Kanojia, Kevin Patel, Samarth Agrawal, Abhijit Mishra, Pushpak Bhattacharyya:
Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour. - Weisong Wen, Li-Ta Hsu, Guohao Zhang:
Performance Analysis of LiDAR-based Graph-SLAM for Autonomous Vehicle in Diverse Typical Driving Scenarios of Hong Kong. - Dhruva Kartik, Ekraam Sabir, Urbashi Mitra, Prem Natarajan:
Policy Design for Active Sequential Hypothesis Testing using Deep Learning. - Glorianna Jagfeld, Sabrina Jenne, Ngoc Thang Vu:
Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity. - Vivek Nigam, Alexander Pretschner, Harald Ruess:
Model-Based Safety and Security Engineering. - Aleksandar Ilic, Milan Basic:
Path matrix and path energy of graphs. - Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull:
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. - Yucheng Wang, Jialiang Shen, Jian Zhang:
Deep Bi-Dense Networks for Image Super-Resolution. - Anne Bouillard, Céline Comte, Elie de Panafieu, Fabien Mathieu:
Of Kernels and Queues: when network calculus meets analytic combinatorics. - Nicolas Duminy
Learning a Set of Interrelated Tasks by Using Sequences of Motor Policies for a Strategic Intrinsically Motivated Learner. - Maxime Devanne, Sao Mai Nguyen:
Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand their Physical Limitations. - R. L. Curier, Tim J. A. de Jong, Katharina Strauch, Katharina Cramer, Natalie Rosenski, Clara Schartner, Marc Debusschere, Hannah Ziemons, Deniz Iren
Monitoring spatial sustainable development: Semi-automated analysis of satellite and aerial images for energy transition and sustainability indicators. - Kawin Ethayarajh, David Duvenaud, Graeme Hirst:
Towards Understanding Linear Word Analogies. - Pietro Baroni, Federico Cerutti, Massimiliano Giacomin, Giovanni Guida:
AFRA: Argumentation framework with recursive attacks. - Lan Hu, Yuchen Cao, Peng Wu, Laurent Kneip:
Dense Object Reconstruction from RGBD Images with Embedded Deep Shape Representations. - Pietro Baroni, Federico Cerutti, Paul E. Dunne, Massimiliano Giacomin:
Automata for Infinite Argumentation Structures. - Oliviero Riganelli, Daniela Micucci, Leonardo Mariani:
Increasing the Reusability of Enforcers with Lifecycle Events. - David Robben, Paul Suetens:
Perfusion parameter estimation using neural networks and data augmentation. - Fatma Ben Said, Adel M. Alimi:
MOANOFS: Multi-Objective Automated Negotiation based Online Feature Selection System for Big Data Classification. - Gourab Ghatak, Antonio De Domenico, Marceau Coupechoux:
Accurate Characterization of Dynamic Cell Load in Noise-Limited Random Cellular Networks. - Ismail Shahin, Ali Bou Nassif, Shibani Hamsa:
Novel Cascaded Gaussian Mixture Model-Deep Neural Network Classifier for Speaker Identification in Emotional Talking Environments. - Liang Li, Guoren Wang, Gang Wu, Ye Yuan, Lei Chen, Xiang Lian:
A Comparative Study of Consistent Snapshot Algorithms for Main-Memory Database Systems. - Xuesong Niu, Hu Han, Shiguang Shan, Xilin Chen:
VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video. - Niloofar Azizi, Hafez Farazi, Sven Behnke:
Location Dependency in Video Prediction. - Hafez Farazi, Sven Behnke:
Online Visual Robot Tracking and Identification using Deep LSTM Networks. - Daniel Sonntag:
Interactive Cognitive Assessment Tools: A Case Study on Digital Pens for the Clinical Assessment of Dementia. - Petr Svarný, Zdenek Straka, Matej Hoffmann:
Toward safe separation distance monitoring from RGB-D sensors in human-robot interaction. - He Wang, Carol O'Sullivan:
Globally Continuous and Non-Markovian Activity Analysis from Videos. - Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Maurizio Morisio:
Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems. - Diego Monti, Giuseppe Rizzo, Maurizio Morisio:
A Distributed and Accountable Approach to Offline Recommender Systems Evaluation. - Wolfgang Leister, Ingvar Tjøstheim:
Which Generation Shows the Most Prudent Data Sharing Behaviour? - Ludovic Thomas, Emmanuel Dubois, Nicolas Kuhn, Emmanuel Lochin:
QUIC and SATCOM. - Kilian Becher, Martin Beck, Thorsten Strufe:
An Enhanced Approach to Cloud-based Privacy-preserving Benchmarking (Long Version). - Andrew Adamatzky, Jack A. Tuszynski, Joerg Pieper, Dan V. Nicolau, Rossalia Rinalndi, Georgios Ch. Sirakoulis, Victor Erokhin, Joerg Schnauss
Towards Cytoskeleton Computers. A proposal. - Laurent Pagnier, Philippe Jacquod:
Disturbance propagation, inertia location and slow modes in large-scale high voltage power grids. - Letizia Marchegiani
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes. - Xiaoming Yu, Xing Cai, Zhenqiang Ying, Thomas H. Li, Ge Li:
SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning. - Federico Griscioli, Maurizio Pizzonia:
USBCaptchaIn: Preventing (Un)Conventional Attacks from Promiscuously Used USB Devices in Industrial Control Systems. - Robert E. Kent:
Dialectical logic: the Process Calculus. - Carlos Herranz-Perdiguero, Roberto Javier López-Sastre:
ISA2: Intelligent Speed Adaptation from Appearance. - Tom Le Paine, Sergio Gomez Colmenarejo, Ziyu Wang, Scott E. Reed, Yusuf Aytar, Tobias Pfaff, Matthew W. Hoffman, Gabriel Barth-Maron, Serkan Cabi, David Budden, Nando de Freitas:
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL. - Giovanni Iacca, Fabio Caraffini
Multi-Strategy Coevolving Aging Particle Optimization. - Elior Sulem, Omri Abend, Ari Rappoport:
Semantic Structural Evaluation for Text Simplification. - Xiaoyan Gao, Fuli Feng, Xiangnan He, Heyan Huang, Xinyu Guan, Chong Feng, Zhaoyan Ming, Tat-Seng Chua:
Visually-aware Collaborative Food Recommendation. - Jack K. Fitzsimons, AbdulRahman Al Ali, Michael A. Osborne, Stephen J. Roberts:
Equality Constrained Decision Trees: For the Algorithmic Enforcement of Group Fairness. - Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao:
Analysis of Noisy Evolutionary Optimization When Sampling Fails. - Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan:
Deep Learning for Image Denoising: A Survey. - Nicolas Le Hir, Olivier Sigaud, Alban Laflaquière:
Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects. - Hendrik Fichtenberger, Dennis Rohde:
A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice. - Takumi Shimada, Takeshi Yashiro, Ken Sakamura:
T-Visor: A Hypervisor for Mixed Criticality Embedded Real-time System with Hardware Virtualization Support. - Manuel Martínez, Rainer Stiefelhagen:
Taming the Cross Entropy Loss. - Hiren Galiyawala, Kenil Shah, Vandit Gajjar, Mehul S. Raval:
Person Retrieval in Surveillance Video using Height, Color and Gender. - Noman Islam, Zeeshan Islam:
An economic perspective on major cloud computing providers. - Noman Islam, Ghazala Shafi Sheikh, Zeeshan Islam:
A cognitive radio ad hoc networks based disaster management scheme with efficient spectrum management, collaboration and interoperability. - Robert Stevens, Phillip Lord, James Malone, Nicolas Matentzoglu:
Measuring Expert Performance at Manually Classifying Domain Entities under Upper Ontology Classes. - Chamila Wijayarathna, Nalin Asanka Gamagedara Arachchilage:
A methodology to Evaluate the Usability of Security APIs. - Zakariya Ghalmane, Mohammed El Hassouni, Chantal Cherifi, Hocine Cherifi:
Centrality in Modular Networks. - Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy, Thomas A. Runkler:
Neural Relation Extraction Within and Across Sentence Boundaries. - Kenza Guenda, T. Aaron Gulliver, Somphong Jitman, Satanan Thipworawimon:
Linear 𝓁-Intersection Pairs of Codes and Their Applications. - Elior Sulem, Omri Abend, Ari Rappoport:
Simple and Effective Text Simplification Using Semantic and Neural Methods. - Thomas Colcombet
Parity games and universal graphs. - Sukhad Anand, Saksham Gupta, Vaibhav Darbari, Shivam Kohli:
Crack-pot: Autonomous Road Crack and Pothole Detection. - Resmiye Nasiboglu, Rahila Abdullayeva:
Analytical Formulations for the Level Based Weighted Average Value of Discrete Trapezoidal Fuzzy Numbers. - Yuhan Jiang, Yulong Zou, Jian Ouyang, Jia Zhu:
Secrecy Energy Efficiency Optimization for Artificial Noise Aided Physical-Layer Security in OFDM-Based Cognitive Radio Networks. - Mohammad Sharifzadeh, Roozbeh Khodambashi, Daniel Aukes:
A Case Study of Spherical Parallel Manipulators Fabricated via Laminate Processes. - Yang P. Liu, Sushant Sachdeva, Zejun Yu:
Short Cycles via Low-Diameter Decompositions. - Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan:
Learning under Misspecified Objective Spaces. - Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song:
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. - Melissa Lynn:
A Constraint Propagation Algorithm for Sums-of-Squares Formulas over the Integers. - Fanhua Shang, James Cheng, Yuanyuan Liu, Zhi-Quan Luo, Zhouchen Lin:
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications. - Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl:
The Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews. - Kellie Webster, Marta Recasens, Vera Axelrod, Jason Baldridge:
Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns. - Dawei Yang, Chaowei Xiao, Bo Li, Jia Deng, Mingyan Liu:
Realistic Adversarial Examples in 3D Meshes. - Christopher E. Arcadia, Hokchhay Tann, Amanda Dombroski, Kady Ferguson, Shui Ling Chen, Eunsuk Kim, Christopher Rose, Brenda M. Rubenstein, Sherief Reda, Jacob K. Rosenstein:
Parallelized Linear Classification with Volumetric Chemical Perceptrons. - Shreeraj Jadhav, Saad Nadeem, Arie E. Kaufman:
FeatureLego: Volume Exploration Using Exhaustive Clustering of Super-Voxels. - Yotam Intrator, Gilad Katz, Asaf Shabtai:
MDGAN: Boosting Anomaly Detection Using Multi-Discriminator Generative Adversarial Networks. - Michael Kuchnik, Virginia Smith:
Efficient Augmentation via Data Subsampling. - Jiayu Zhang:
Delegating Quantum Computation Using Only Hash Functions. - Luigi Nardi, David Koeplinger, Kunle Olukotun:
Practical Design Space Exploration. - Tao Yu
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task. - Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Daqing He, Adam Trischler:
Generating Diverse Numbers of Diverse Keyphrases. - Marco Molinaro:
Stochastic 𝓁p Load Balancing and Moment Problems via the L-Function Method. - Chris Donahue, Ian Simon, Sander Dieleman:
Piano Genie. - Wenting Li, Deepjyoti Deka, Michael Chertkov, Meng Wang:
Real-time Fault Localization in Power Grids With Convolutional Neural Networks. - Gabriel Schamberg, Todd P. Coleman:
Measuring Sample Path Causal Influences with Relative Entropy. - Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
Offline Comparison of Ranking Functions using Randomized Data. - Adam Gagol, Michal Swietek:
Aleph: A Leaderless, Asynchronous, Byzantine Fault Tolerant Consensus Protocol. - Young Jin Chun:
A Generalized Fading Model with Multiple Specular Components. - Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Kaiyuan Hou, Fabio Luporini, Paul D. Hovland, Gerard Gorman:
Combining checkpointing and data compression for large scale seismic inversion. - Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell:
Rethinking the Value of Network Pruning. - Carola Doerr, Hao Wang, Furong Ye, Sander van Rijn, Thomas Bäck:
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics. - MirSaleh Bahavarnia, Hossein K. Mousavi:
Resilient Sparse Controller Design with Guaranteed Disturbance Attenuation. - Mateusz Machalica, Alex Samylkin, Meredith Porth, Satish Chandra:
Predictive Test Selection. - Jeremy Bernstein, Jiawei Zhao, Kamyar Azizzadenesheli, Anima Anandkumar:
signSGD with Majority Vote is Communication Efficient And Byzantine Fault Tolerant. - Sara Hosseinzadeh Kassani, Ralph Deters:
Leveraging protection and efficiency of query answering in heterogenous RDF data using blockchain. - Poornima Gopi:
AppIntent: Intuitive Automation Specification Framework for Mobile AppTesting. - Guy E. Blelloch, Yan Gu, Julian Shun, Yihan Sun:
Parallelism in Randomized Incremental Algorithms. - Mohammad Gharbieh, Hesham ElSawy, Hong-Chuan Yang, Ahmed Bader, Mohamed-Slim Alouini
Spatiotemporal Model for Uplink IoT Traffic: Scheduling & Random Access Paradox. - Daniel Lemire, Melissa E. O'Neill:
Xorshift1024*, Xorshift1024+, Xorshift128+ and Xoroshiro128+ Fail Statistical Tests for Linearity. - Brian Groenke:
Learning to Reason. - Shengjie Sun, Dong Yang, Hongchun Zhang, Yanxu Chen, Chao Wei, Xiaonan Meng, Yi Hu:
Important Attribute Identification in Knowledge Graph. - Hangguan Shan, Taojie Qin, Guanding Yu, Lin X. Cai, Yu Cheng, Tony Q. S. Quek:
Throughput Analysis and Energy Efficiency Optimization for Standalone LTE-U Networks with Randomly Delayed CSI. - Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu:
Dynamic Channel Pruning: Feature Boosting and Suppression. - Kemal Kurniawan, Samuel Louvan:
IndoSum: A New Benchmark Dataset for Indonesian Text Summarization. - Zhong Li, Minye Wu, Wangyiteng Zhou, Jingyi Yu:
4D Human Body Correspondences from Panoramic Depth Maps. - Qian Ge, Yuval Yarom, Tom Chothia, Gernot Heiser:
Time Protection: the Missing OS Abstraction. - Xiao Li, Hanchen Xu, Jinming Zhang, Hua-hua Chang:
Optimal Hierarchical Learning Path Design with Reinforcement Learning. - Chia-Tung Kuo, Ian Davidson:
On The Equivalence of Tries and Dendrograms - Efficient Hierarchical Clustering of Traffic Data. - Hyunjoong Cho, Jinhyeok Jang, Chanhyeok Lee, Seungjoon Yang:
Optimal Architecture for Deep Neural Networks with Heterogeneous Sensitivity. - Hadi Kazemi, Fariborz Taherkhani, Nasser M. Nasrabadi:
Unsupervised Facial Geometry Learning for Sketch to Photo Synthesis. - Wei Cai, Zehua Wang, Jason B. Ernst, Zhen Hong, Chen Feng, Victor C. M. Leung:
Decentralized Applications: The Blockchain-Empowered Software System. - Ke Song, Chun Yuan, Peng Gao, Yunxu Sun:
FPGA-based Acceleration System for Visual Tracking. - George Barmpalias, Nan Fang:
Granularity of wagers in games and the (im)possibility of savings. - Teng Xiao, Shangsong Liang, Hong Shen, Zaiqiao Meng:
Neural Variational Hybrid Collaborative Filtering. - Stefano Berardi, Alexandre Miquel:
Proceedings Seventh International Workshop on Classical Logic and Computation, CL&C 2018, Oxford (UK), 7th of July 2018. EPTCS 281, 2018 [contents] - Meenakshi Sarkar, Debasish Ghose:
Sequential Learning of Movement Prediction in Dynamic Environments using LSTM Autoencoder. - Giovanna D'Agostino:
Uniform Interpolation for Propositional and Modal Team Logics. - Xu Cao, Katashi Nagao:
Point Cloud Colorization Based on Densely Annotated 3D Shape Dataset. - Xiaodong Kuang, Xiubao Sui, Chengwei Liu, Yuan Liu, Qian Chen, Guohua Gu:
Thermal Infrared Colorization via Conditional Generative Adversarial Network. - Young-Sik Moon, Jong-Yoon Yoon, Jong-Seon No, Sang-Hyo Kim:
Interference Alignment Schemes Using Latin Square for Kx3 MIMO X Channel. - Andreas K. Maier, Christopher Syben, Tobias Lasser, Christian Riess:
A Gentle Introduction to Deep Learning in Medical Image Processing. - Mohammad Al-Shinwan, Chul-Soo Kim:
A future mobile packet core network based on ip-in-ip protocol. - Stéphane Demri, Étienne Lozes, Alessio Mansutti:
The Effects of Adding Reachability Predicates in Propositional Separation Logic. - Jie Zou, Dan Li, Evangelos Kanoulas:
Technology Assisted Reviews: Finding the Last Few Relevant Documents by Asking Yes/No Questions to Reviewers. - Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis:
Deep Reinforcement Learning Autoencoder with Noisy Feedback. - Tim-Oliver Buchholz, Mareike Jordan, Gaia Pigino, Florian Jug:
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data. - Carlos R. del-Blanco, Iván García-Magariño:
The use of blogs in the education field: A qualitative systematic review. - Ismail Elezi, Lukas Tuggener, Marcello Pelillo, Thilo Stadelmann:
DeepScores and Deep Watershed Detection: current state and open issues. - Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Real-time self-adaptive deep stereo. - Jacob R. Goodman, Leonardo Colombo:
On the Existence and Uniqueness of Poincaré Maps for Systems with Impulse Effects. - Hosein Azarbonyad, Mostafa Dehghani, Tom Kenter, Maarten Marx, Jaap Kamps, Maarten de Rijke:
HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of Documents. - Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution. - Manolis C. Tsakiris, Liangzu Peng, Aldo Conca, Laurent Kneip, Yuanming Shi, Hayoung Choi:
An Algebraic-Geometric Approach to Shuffled Linear Regression. - Ebrahim Bedeer, Halim Yanikomeroglu, Mohamed Hossam Ahmed:
Low-Complexity Detection of M-ary PSK Faster-than-Nyquist Signaling. - Veronika Cheplygina:
Cats or CAT scans: transfer learning from natural or medical image source datasets? - Saar Tochner, Aviv Zohar:
How to Pick Your Friends - A Game Theoretic Approach to P2P Overlay Construction. - Martin R. Pfaller, Julia M. Hörmann, Martina Weigl, Andreas Nagler, Radomír Chabiniok, Cristóbal Bertoglio
The importance of the pericardium for cardiac biomechanics: From physiology to computational modeling. - Christina Kolb, Christian Scheideler, Jannik Sundermeier:
A Bounding Box Overlay for Competitive Routing in Hybrid Communication Networks. - Yonggen Ling, Linchao Bao, Zequn Jie, Fengming Zhu, Ziyang Li, Shanmin Tang, Yongsheng Liu, Wei Liu, Tong Zhang:
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry. - Lucas Deecke, Iain Murray, Hakan Bilen:
Mode Normalization. - Marc Tanti, Albert Gatt
Pre-gen metrics: Predicting caption quality metrics without generating captions. - Marc Tanti, Albert Gatt
Quantifying the amount of visual information used by neural caption generators. - Johannes Wachs, Taha Yasseri, Balázs Lengyel, János Kertész:
Social capital predicts corruption risk in towns. - Hyunsun Park, Jun Haeng Lee, Youngmin Oh, Sangwon Ha, Seungwon Lee:
Training Deep Neural Network in Limited Precision. - Jun Haeng Lee, Sangwon Ha, Saerom Choi, Won-Jo Lee, Seungwon Lee:
Quantization for Rapid Deployment of Deep Neural Networks. - Mauricio Toro:
Towards a correct and efficient implementation of simulation and verification tools for probabilistic ntcc. - Rebecca C. Steorts, Anshumali Shrivastava:
Probabilistic Blocking with An Application to the Syrian Conflict. - Bastiaan S. Veeling, Rianne van den Berg, Max Welling:
Predictive Uncertainty through Quantization. - Sandip Das, Soumen Nandi, Debdeep Roy, Sagnik Sen:
On relative clique number of colored mixed graphs. - Parviz Asghari, Ehsan Nazerfard:
Activity Recognition using Hierarchical Hidden Markov Models on Streaming Sensor Data. - Zixing Zhang, Jing Han, Eduardo Coutinho
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction. - Elham Alghamdi, Derek Greene:
Semi-Supervised Overlapping Community Finding based on Label Propagation with Pairwise Constraints. - Ruslan K. Krenzler
Deterministic Pod Repositioning Problem in Robotic Mobile Fulfillment Systems. - Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Seyed Esmaeel Najafi:
Introducing a hybrid model of DEA and data mining in evaluating efficiency. Case study: Bank Branches. - Bas van Stein, Hao Wang, Thomas Bäck:
Automatic Configuration of Deep Neural Networks with EGO. - Navneet Madhu Kumar:
Empowerment-driven Exploration using Mutual Information Estimation. - Robert E. Kent:
Conceptual Knowledge Markup Language: An Introduction. - Van Hoa Nguyen
On the applicability of distributed ledger architectures to peer-to-peer energy trading framework. - Bart Besselink, Karl Henrik Johansson, Arjan van der Schaft:
Contracts as specifications for dynamical systems in driving variable form. - Mohammad Amin Nabian, Hadi Meidani:
Physics-Informed Regularization of Deep Neural Networks. - Gabriel Michau, Yang Hu, Thomas Palmé, Olga Fink:
Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals. - Yanting Pei, Yaping Huang, Qi Zou, Hao Zang, Xingyuan Zhang, Song Wang:
Effects of Image Degradations to CNN-based Image Classification. - Torsten Zimmermann, Benedikt Wolters, Oliver Hohlfeld, Klaus Wehrle:
Is the Web ready for HTTP/2 Server Push? - Tommaso Petrucciani, Giuseppe Castagna, Davide Ancona, Elena Zucca:
Semantic subtyping for non-strict languages. - Prathamesh Mayekar, Parimal Parag
Optimal Source Codes for Timely Updates. - Yosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa, Tatsuji Takahashi, Michita Imai:
Bayesian Inference of Self-intention Attributed by Observer. - Oleh Bodunov, Florian Schmidt, André Martin, Andrey Brito, Christof Fetzer:
Grand Challenge: Real-time Destination and ETA Prediction for Maritime Traffic. - Souad Bouasker:
Characterization and extraction of condensed representation of correlated patterns based on formal concept analysis. - Mirco Schönfeld, Steffen Eckhard, Ronny Patz, Hilde van Meegdenburg:
Discursive Landscapes and Unsupervised Topic Modeling in IR: A Validation of Text-As-Data Approaches through a New Corpus of UN Security Council Speeches on Afghanistan. - Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Is multiagent deep reinforcement learning the answer or the question? A brief survey. - Danielle Cox, Christopher Duffy:
Chromatic Polynomials of Oriented Graphs. - Yongbin Sun, Yue Wang, Ziwei Liu, Joshua E. Siegel, Sanjay E. Sarma:
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention. - Ivan Yu. Tyukin, Alexander N. Gorban, Stephen Green, Danil V. Prokhorov:
Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study. - Claudia Carpineti, Vincenzo Lomonaco, Luca Bedogni, Marco Di Felice, Luciano Bononi:
Custom Dual Transportation Mode Detection by Smartphone Devices Exploiting Sensor Diversity. - Dave Dice, Alex Kogan:
Compact NUMA-Aware Locks. - Stefan Rass:
Perfectly Secure Communication, based on Graph-Topological Addressing in Unique-Neighborhood Networks. - Daniel J. Saunders:
Investigating the Power of Circuits with MOD6 Gates. - Philipp Allgeuer, Sven Behnke:
Tilt Rotations and the Tilt Phase Space. - Philipp Allgeuer, Sven Behnke:
Bipedal Walking with Corrective Actions in the Tilt Phase Space. - Xiaoxian Tang, Timo de Wolff, Rukai Zhao:
Computing Elimination Ideals and Discriminants of Likelihood Equations. - Wang Chi Cheung, Will Ma, David Simchi-Levi, Xinshang Wang:
Inventory Balancing with Online Learning. - Robert Krajewski, Julian Bock, Laurent Kloeker, Lutz Eckstein:
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems. - Lahiru Jayasinghe, Tharaka Samarasinghe, Chau Yuen, Shuzhi Sam Ge:
Temporal Convolutional Memory Networks for Remaining Useful Life Estimation of Industrial Machinery. - Sebastian Knopp, Benjamin Biesinger, Matthias Prandtstetter:
A Resource Allocation based Approach for Corporate Mobility as a Service. - Blake Loring, Duncan Mitchell, Johannes Kinder:
Sound Regular Expression Semantics for Dynamic Symbolic Execution of JavaScript. - (Withdrawn) Is PGD-Adversarial Training Necessary? Alternative Training via a Soft-Quantization Network with Noisy-Natural Samples Only.
- Matt Kaufmann:
DefunT: A Tool for Automating Termination Proofs by Using the Community Books (Extended Abstract). 161-163 - Minchae Jung, Walid Saad, Young Rok Jang, Gyuyeol Kong, Sooyong Choi:
Performance Analysis of Large Intelligence Surfaces (LISs): Asymptotic Data Rate and Channel Hardening Effects. - Ali Borji, Hamed R. Tavakoli, Zoya Bylinskii:
Bottom-up Attention, Models of. - Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum:
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. - Christian Brommer, Danylo Malyuta, Daniel Hentzen, Roland Brockers:
Long-Duration Autonomy for Small Rotorcraft UAS including Recharging. - Yevgen Chebotar, Ankur Handa, Viktor Makoviychuk, Miles Macklin, Jan Issac, Nathan D. Ratliff, Dieter Fox:
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience. - Erich Schubert, Peter J. Rousseeuw:
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. - Aloni Cohen, Kobbi Nissim:
Linear Program Reconstruction in Practice. - Robert E. Kent, John Brady:
Formal Concept Analysis with Many-sorted Attributes. - Sadegh M. Milajerdi, Birhanu Eshete, Rigel Gjomemo, V. N. Venkatakrishnan:
ProPatrol: Attack Investigation via Extracted High-Level Tasks. - Sandesh Ghimire, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, Linwei Wang:
Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential. - Yanting Pei, Yaping Huang, Qi Zou, Yuhang Lu, Song Wang:
Does Haze Removal Help CNN-based Image Classification? - Rafael G. L. D'Oliveira, Salim El Rouayheb:
One-Shot PIR: Refinement and Lifting. - Ron Banner, Yury Nahshan, Elad Hoffer, Daniel Soudry:
ACIQ: Analytical Clipping for Integer Quantization of neural networks. - Andrej Junginger, Markus Hanselmann, Thilo Strauss, Sebastian Boblest, Jens Buchner, Holger Ulmer:
Unpaired High-Resolution and Scalable Style Transfer Using Generative Adversarial Networks. - Marija Prokopijevic, Aleksandar Stancic, Jelena Vasiljevic, Zeljko Stojkovic, Goran Dimic, Jelena Sopta, Dalibor Ristic, Dhinaharan Nagamalai:
Neural Network based classification of bone metastasis by primary cacinoma. - Alex Olsen, Dmitry A. Konovalov, Bronson Philippa, Peter Ridd, Jake C. Wood, Jamie Johns, Wesley Banks, Benjamin Girgenti, Owen Kenny, James Whinney, Brendan Calvert, Mostafa Rahimi Azghadi, Ronald D. White:
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning. - Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum:
Automatic Segmentation of Thoracic Aorta Segments in Low-Dose Chest CT. - Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy:
Estimating Information Flow in Neural Networks. - Teresa Araújo, Guilherme Aresta
UOLO - automatic object detection and segmentation in biomedical images. - Miao Cheng, Ah Chung Tsoi:
CRH: A Simple Benchmark Approach to Continuous Hashing. - Saifuddin Hitawala, Yao Li, Xian Wang, Dongyang Yang:
Image Super-Resolution Using VDSR-ResNeXt and SRCGAN. - Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer:
A Novel Domain Adaptation Framework for Medical Image Segmentation. - Shubham Kumar, Abhijit Guha Roy, Ping Wu, Sailesh Conjeti, R. S. Anand, Jian Wang, Igor Yakushev, Stefan Förster, Markus Schwaiger, Sung-Cheng Huang, Axel Rominger, Chuantao Zuo, Kuangyu Shi:
Learning Optimal Deep Projection of 18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. - Fankun Bu, Kaveh Dehghanpour, Zhaoyu Wang, Yuxuan Yuan:
A Data-Driven Framework for Assessing Cold Load Pick-up Demand in Service Restoration. - Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab:
InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation. - Eric Chu, Peter J. Liu:
Unsupervised Neural Multi-document Abstractive Summarization. - Stéphane Ayache, Rémi Eyraud, Noé Goudian:
Explaining Black Boxes on Sequential Data using Weighted Automata. - Chris Zhang, Mengye Ren, Raquel Urtasun:
Graph HyperNetworks for Neural Architecture Search. - Wenhao Yu, C. Karen Liu, Greg Turk:
Policy Transfer with Strategy Optimization. - Nieves R. Brisaboa, Travis Gagie, Adrián Gómez-Brandón, Gonzalo Navarro, José R. Paramá:
Relative compression of trajectories. - Mounica Maddela, Wei Xu:
A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification. - Jacky Liang, Viktor Makoviychuk, Ankur Handa, Nuttapong Chentanez, Miles Macklin, Dieter Fox:
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning. - Juyang Weng:
A Model for Auto-Programming for General Purposes. - Jaime F. Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S. Shankar Sastry, Anca D. Dragan:
Hierarchical Game-Theoretic Planning for Autonomous Vehicles. - Maggie Ezzat Gaber Gendy, Ahmad Al-Kabbany, Ehab Farouk Badran:
Maximizing Clearance Rate of Reputation-aware Auctions in Mobile Crowdsensing. - Sorour Mohajerani, Parvaneh Saeedi:
CPNet: A Context Preserver Convolutional Neural Network for Detecting Shadows in Single RGB Images. - Enric Corona, Kaustav Kundu, Sanja Fidler:
Pose Estimation for Objects with Rotational Symmetry. - Sorour Mohajerani, Thomas A. Krammer, Parvaneh Saeedi:
Cloud Detection Algorithm for Remote Sensing Images Using Fully Convolutional Neural Networks. - Luann Jung, Brendan Whitaker, Kyle Chard, Aaron J. Elmore:
Measuring Swampiness: Quantifying Chaos in Large Heterogeneous Data Repositories. - Hai Wang, Jason D. Williams, SingBing Kang:
Learning to Globally Edit Images with Textual Description. - Shun Kiyono, Jun Suzuki, Kentaro Inui:
Mixture of Expert/Imitator Networks: Scalable Semi-supervised Learning Framework. - Yuxia Sun, Song Guo, Shing-Chi Cheung, Yong Tang:
Analyzing and Disentangling Interleaved Interrupt-driven IoT Programs. - Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabás Póczos, Ruslan Salakhutdinov:
Point Cloud GAN. - Marzyeh Ghassemi, Mahima Pushkarna, James Wexler, Jesse Johnson, Paul Varghese:
ClinicalVis: Supporting Clinical Task-Focused Design Evaluation. - Xiangnan Feng, Wei Wei, Xing Li, Zhiming Zheng:
Core Influence Mechanism on Vertex-Cover Problem through Leaf-Removal-Core Breaking. - Zhiwei Li, Huanfeng Shen, Qing Cheng, Yuhao Liu, Shucheng You, Zongyi He:
Deep learning based cloud detection for remote sensing images by the fusion of multi-scale convolutional features. - Umar Bin Farooq, Umair Sajid Hashmi, Junaid Qadir, Ali Imran, Adnan Noor Mian:
User Transmit Power Minimization through Uplink Resource Allocation and User Association in HetNets. - Martin Monperrus, Simon Urli, Thomas Durieux, Matias Martinez, Benoit Baudry, Lionel Seinturier:
Human-competitive Patches in Automatic Program Repair with Repairnator. - Xi Liu, Ke Ma, P. R. Kumar:
Towards Provably Safe Mixed Transportation Systems with Human-driven and Automated Vehicles. - Yipeng Ma, Chun Yuan, Peng Gao, Fei Wang:
Efficient Multi-level Correlating for Visual Tracking. - Bart Jacobs:
Categorical Aspects of Parameter Learning. - Jabez Leong Kit, David Mateo, Roland Bouffanais:
A Decentralized Mobile Computing Network for Multi-Robot Systems Operations. - Buddhika Nettasinghe, Vikram Krishnamurthy, Kristina Lerman:
Contagions in Social Networks: Effects of Monophilic Contagion, Friendship Paradox and Reactive Networks. - Kamal Z. Zamli, Bestoun S. Ahmed, Thair Mahmoud, Wasif Afzal:
Fuzzy Adaptive Tuning of a Particle Swarm Optimization Algorithm for Variable-Strength Combinatorial Test Suite Generation. - Leslie Ann Goldberg, Mark Jerrum:
Approximating Pairwise Correlations in the Ising Model. - Haoxi Zhong, Chaojun Xiao, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Yansong Feng, Xianpei Han, Zhen Hu, Heng Wang, Jianfeng Xu:
Overview of CAIL2018: Legal Judgment Prediction Competition. - Pierluigi Zama Ramirez, Alessio Tonioni, Luigi Di Stefano:
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation. - Sergey S. Ketkov, Oleg A. Prokopyev:
On Greedy and Strategic Evaders in Sequential Interdiction Settings with Incomplete Information. - Qi Cai, Yuanxin Wu, Lilian Zhang, Peike Zhang:
Equivalent Constraints for Two-View Geometry: Pose Solution/Pure Rotation Identification and 3D Reconstruction. - Mohammad Ali, Javad Mohajeri, Mohammad-Reza Sadeghi:
On the security of the hierarchical attribute based encryption scheme proposed by Wang et al. - Fan Yang, Ke Yan, Shijian Lu, Huizhu Jia, Xiaodong Xie, Wen Gao:
Attention Driven Person Re-identification. - Shudong Hao, Michael J. Paul:
Understanding Crosslingual Transfer Mechanisms in Probabilistic Topic Modeling. - Kyeong Soo Kim:
Hybrid Building/Floor Classification and Location Coordinates Regression Using A Single-Input and Multi-Output Deep Neural Network for Large-Scale Indoor Localization Based on Wi-Fi Fingerprinting. - Xiong Zheng, Vijay K. Garg, John Kaippallimalil:
Linearizable Replicated State Machines with Lattice Agreement. - Petteri Teikari, Raymond P. Najjar, Leopold Schmetterer, Dan Milea:
Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter. - Carlos Caleiro, Sérgio Marcelino, João Marcos:
Combining fragments of classical logic: When are interaction principles needed? - Xiaolan Liu, Yue Gao, Fengye Hu:
Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communication in IoT Network. - Xiaolan Liu, Zhijin Qin, Yue Gao, Julie A. McCann:
Resource Allocation in in wireless powered IoT networks. - Md. S. Q. Zulkar Nine, Luigi Di Tacchio, Asif Imran, Tevfik Kosar, Muhammed Fatih Bulut, Jinho Hwang:
GreenDataFlow: Minimizing the Energy Footprint of Global Data Movement. - Mehran Soltani, Ali Mirzaei, Vahid Pourahmadi, Hamid Sheikhzadeh:
Deep Learning-Based Channel Estimation. - Kaushik Kumar Majumdar, Srinath Jayachandran:
A Geometric Analysis of Time Series Leading to Information Encoding and a New Entropy Measure. - Joseph Y. Halpern, Max Kleiman-Weiner:
Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility. - Ankit Shah, Arunesh Sinha, Rajesh Ganesan, Sushil Jajodia, Hasan Cam:
Two Can Play That Game: An Adversarial Evaluation of a Cyber-alert Inspection System. - Liam Li, Kevin G. Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Moritz Hardt, Benjamin Recht, Ameet Talwalkar:
Massively Parallel Hyperparameter Tuning. - Awatif Alqahtani, Yinhao Li, Pankesh Patel, Ellis Solaiman, Rajiv Ranjan:
End-to-End Service Level Agreement Specification for IoT Applications. - Xingpeng Li, Kory W. Hedman:
False Data Injection Cyber-Attack Detection. - Yulei Qin, Ning Song, Hao Zheng, Xiaolin Huang, Jie Yang, Yue-Min Zhu, Guang-Zhong Yang:
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks. - Weiqiang Lin, Pedro Saleiro, Natasa Milic-Frayling, Eugene Ch'ng:
Social Media Brand Engagement as a Proxy for E-commerce Activities: A Case Study of Sina Weibo and JD. - Chao Shang, Wei-Han Chen, Abraham Duncan Stroock, Fengqi You:
Robust Model Predictive Control of Irrigation Systems with Active Uncertainty Learning and Data Analytics. - Zhihong Tang, Yixiong Liang, Meng Yan, Jialin Chen, Jianfeng Liu:
Comparison Detector: A novel object detection method for small dataset. - Kent Quanrud:
Approximating optimal transport with linear programs. - (Withdrawn) Incorporating Diversity into Influential Node Mining.
- Robert E. Kent:
Introduction to Dialectical Nets. - Dogancan Temel, Ghassan AlRegib:
Perceptual Image Quality Assessment through Spectral Analysis of Error Representations. - Xun Jian, Yue Wang, Xiayu Lei, Lei Chen:
DDSL: Efficient Subgraph Listing on Distributed and Dynamic Graphs. - Tao Zhou, Chen Fang, Zhaowen Wang, Jimei Yang, Byungmoon Kim, Zhili Chen, Jonathan Brandt, Demetri Terzopoulos:
Learning to Sketch with Deep Q Networks and Demonstrated Strokes. - Yaliang Li, Liuyi Yao, Nan Du, Jing Gao, Qi Li, Chuishi Meng, Chenwei Zhang, Wei Fan:
Finding Similar Medical Questions from Question Answering Websites. - Zirui Wang:
Theoretical Guarantees of Transfer Learning. - Ophir Gozes, Hayit Greenspan:
Lung Structures Enhancement in Chest Radiographs via CT based FCNN Training. - Boris Ivanovic, Marco Pavone:
Modeling Multimodal Dynamic Spatiotemporal Graphs. - Elior Sulem, Omri Abend, Ari Rappoport:
BLEU is Not Suitable for the Evaluation of Text Simplification. - Johannes Klicpera, Aleksandar Bojchevski, Stephan Günnemann:
Personalized Embedding Propagation: Combining Neural Networks on Graphs with Personalized PageRank. - Pier Luigi Ventre, Mohammad Mahdi Tajiki, Stefano Salsano, Clarence Filsfils:
SDN Architecture and Southbound APIs for IPv6 Segment Routing Enabled Wide Area Networks. - Minquan Cheng, Jie Li, Xiaohu Tang, Ruizhong Wei:
Linear Coded Caching Scheme for Centralized Networks. - Frank Stein, Alun D. Preece, Mihai Boicu:
AAAI FSS-18: Artificial Intelligence in Government and Public Sector Proceedings. - Alejandro Alcalde-Barros, Diego García-Gil, Salvador García, Francisco Herrera:
DPASF: A Flink Library for Streaming Data preprocessing. - Chengyuan Zhang, Yunwu Lin, Lei Zhu, Anfeng Liu, Zuping Zhang, Fang Huang:
CNN-VWII: An Efficient Approach for Large-Scale Video Retrieval by Image Queries. - Chen Li, Xutan Peng
Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training. - Henry Zhu, Abhishek Gupta, Aravind Rajeswaran, Sergey Levine, Vikash Kumar:
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost. - Blesson Varghese, Carlos Reaño, Federico Silla:
Accelerator Virtualization in Fog Computing: Moving From the Cloud to the Edge. - Dor Bank, Raja Giryes:
On the relationship between Dropout and Equiangular Tight Frames. - Aaron Yi Ding, Marijn Janssen:
5G Applications: Requirements, Challenges, and Outlook. - Haoming Lin, Yuyang Hu, Siping Chen, Jianhua Yao, Ling Zhang:
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks. - Otkrist Gupta, Ramesh Raskar:
Distributed learning of deep neural network over multiple agents. - Lisa Fan, Dong Yu, Lu Wang:
Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information. - Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran, Rita R. Kalyani, David Reiter, Chee W. Chia, Kenneth W. Fishbein, Richard G. S. Spencer, Luigi Ferrucci, Ulas Bagci:
A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation. - Jairo Viola, Alberto Radici, YangQuan Chen:
Comparison of control strategies for the temperature control of a refrigeration system based on vapor compression. - Jingyuan Xia, Wei Dai, John Polak, Michel Bierlaire:
Dimension Reduction for Origin-Destination Flow Estimation: Blind Estimation Made Possible. - Hui Wang, Michael Emmerich, Aske Plaat:
Assessing the Potential of Classical Q-learning in General Game Playing. - Fritz Alder, N. Asokan, Arseny Kurnikov, Andrew Paverd, Michael Steiner:
S-FaaS: Trustworthy and Accountable Function-as-a-Service using Intel SGX. - Nikhil Vyas:
Super Strong ETH is False for Random k-SAT. - Per Lenberg, Robert Feldt, Lars Göran Wallgren Tengberg:
Misaligned Values in Software Engineering Organizations. - Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Marco Domenico Santambrogio, Markus Weimer, Matteo Interlandi:
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems. - Yiwei Li, Enzhi Li:
Variational Neural Networks: Every Layer and Neuron Can Be Unique. - Chenxu Luo, Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia, Alan L. Yuille:
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding. - Daniel Sánchez, Weiwei Wan, Kensuke Harada, Fumio Kanehiro:
Regrasp Planning Considering Bipedal Stability Constraints. - Alan T. Sherman, Farid Javani, Haibin Zhang, Enis Golaszewski:
On the Origins and Variations of Blockchain Technologies. - Jun-Bo Wang, Ming Cheng, Jin-Yuan Wang, Min Lin, Yongpeng Wu, Huiling Zhu, Jiangzhou Wang:
Bandit Inspired Beam Searching Scheme for mmWave High-Speed Train Communications. - Aritra Mitra, John A. Richards, Saurabh Bagchi, Shreyas Sundaram:
Finite-Time Distributed State Estimation over Time-Varying Graphs: Exploiting the Age-of-Information. - John Sherlock, Manoj Muniswamaiah, Lauren Clarke, Shawn Cicoria:
Review of Barriers for Federated Identity Adoption for Users and Organizations. - Asahi Takaoka:
A recognition algorithm for adjusted interval digraphs. - Dogancan Temel, Ghassan AlRegib:
Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions]. - Laurent Lessard, Xuezhou Zhang, Xiaojin Zhu:
An Optimal Control Approach to Sequential Machine Teaching. - Jingyun Xiao, Shuang Yang, Yuanhang Zhang, Shiguang Shan, Xilin Chen:
3D Feature Pyramid Attention Module for Robust Visual Speech Recognition. - Vahid Ranjbar, Ali Mohammad Afshin Hemmatyar:
A Low Overhead Cooperative-based Authentication Protocol for VANETs. - Ming-Hsiang Tsou, Daniel Lusher:
Mapping Web Pages by Internet Protocol (IP) addresses: Analyzing Spatial and Temporal Characteristics of Web Search Engine Results. - Balakumar Sundaralingam, Alexander Sasha Lambert, Ankur Handa, Byron Boots, Tucker Hermans, Stan Birchfield, Nathan D. Ratliff, Dieter Fox:
Robust Learning of Tactile Force Estimation through Robot Interaction. - Longyue Wang, Zhaopeng Tu, Andy Way, Qun Liu:
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism. - Yuan Gao, Xingyuan Bu, Yang Hu, Hui Shen, Ti Bai, Xubin Li, Shilei Wen:
Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance. - Tristan Charrier, François Schwarzentruber, Eva Soulier:
Dynamic Connected Cooperative Coverage Problem. - Kien-Giang Nguyen, Quang-Doanh Vu, Le-Nam Tran, Markku J. Juntti:
Energy Efficiency Fairness for Multi-Pair Wireless-Powered Relaying Systems. - Tushar Karayil, Philipp Blandfort, Jörn Hees, Andreas Dengel:
The Focus-Aspect-Polarity Model for Predicting Subjective Noun Attributes in Images. - Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Afzel Noore:
Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss! - Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. - Moshe Babaioff, Yannai A. Gonczarowski, Assaf Romm:
Playing on a Level Field: Sincere and Sophisticated Players in the Boston Mechanism with a Coarse Priority Structure. - Yikun Ban, Xin Liu:
Bounding Entities within Dense Subtensors. - Sameera Ramasinghe, C. D. Athuralya, Salman H. Khan:
A Context-aware Capsule Network for Multi-label Classification. - Jean-Benoit Delbrouck, Stéphane Dupont:
UMONS Submission for WMT18 Multimodal Translation Task. - Mohammad Gharbieh, Ahmed Bader, Hesham ElSawy, Hong-Chuan Yang, Mohamed-Slim Alouini
Self-Organized Scheduling Request for Uplink 5G Networks: A D2D Clustering Approach. - Vincent Froese, Brijnesh J. Jain, Rolf Niedermeier, Malte Renken:
Comparing Temporal Graphs Using Dynamic Time Warping. - Jean-Benoit Delbrouck, Stéphane Dupont:
Bringing back simplicity and lightliness into neural image captioning. - Karen Bodie, Zachary Taylor, Mina Kamel, Roland Siegwart:
Towards Efficient Full Pose Omnidirectionality with Overactuated MAVs. - Sagar Kale:
Small Space Stream Summary for Matroid Center. - Mohammad Mahdi Haji-Esmaeili, Gholamali Montazer:
Playing for Depth. - Ahmed Yehia, Mohamed Saleh:
Eigenvalue Analysis via Kernel Density Estimation. - Aiga Suzuki, Hidenori Sakanashi, Shoji Kido, Hayaru Shouno:
Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification-. - Cédric Colas, Pierre Fournier, Olivier Sigaud, Pierre-Yves Oudeyer:
CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning. - Dat Quoc Nguyen, Richard Billingsley, Lan Du, Mark Johnson:
Improving Topic Models with Latent Feature Word Representations. - Linqi Song, Christina Fragouli, Devavrat Shah:
Regret vs. Bandwidth Trade-off for Recommendation Systems. - Emna Zedini
Unified Statistical Channel Model for Turbulence-Induced Fading in Underwater Wireless Optical Communication Systems. - Aysen Degerli, Sinem Aslan, Mehmet Yamac, Bülent Sankur, Moncef Gabbouj:
Compressively Sensed Image Recognition. - Jinsong Zhang, Rodrigo Verschae, Shohei Nobuhara, Jean-François Lalonde:
Deep Photovoltaic Nowcasting. - Taqwa Saeed, Constantinos Skitsas, Dimitrios Kouzapas, Marios Lestas, Vassos Soteriou
Fault Adaptive Routing in Metasurface Controller Networks. - Yavar Khedmati, Reza Parvaz, Y. Behroo:
2D Hybrid chaos map for image security transform based on framelet and cellular automata. - Rita Borgo, Michael Cashmore, Daniele Magazzeni:
Towards Providing Explanations for AI Planner Decisions. - Yuxi Li:
Deep Reinforcement Learning. - Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa:
(Self-Attentive) Autoencoder-based Universal Language Representation for Machine Translation. - Sándor P. Fekete, Robert Gmyr, Sabrina Hugo, Phillip Keldenich, Christian Scheffer, Arne Schmidt:
CADbots: Algorithmic Aspects of Manipulating Programmable Matter with Finite Automata. - S. Jaya Nirmala, Amrith Rajagopal Setlur, Har Simrat Singh, Sudhanshu Khoriya:
An Efficient Fault Tolerant Workflow Scheduling Approach using Replication Heuristics and Checkpointing in the Cloud. - Bill Yuchen Lin, Wei Lu:
Neural Adaptation Layers for Cross-domain Named Entity Recognition. - Andrea Marrella:
SmartPM: Automatic Adaptation of Dynamic Processes at Run-Time. - Svante Janson:
Thresholds quantifying proportionality criteria for election methods. - Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu:
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space. - Weihao Gao, Chong Wang, Sewoong Oh:
Rate Distortion For Model Compression: From Theory To Practice. - Janis Stolzenwald, Walterio W. Mayol-Cuevas:
I Can See Your Aim: Estimating User Attention From Gaze For Handheld Robot Collaboration. - Yunheng Han:
Ineffectiveness of Dictionary Coding to Infer Predictability Limits of Human Mobility. - Hafez Farazi, Sven Behnke:
Real-Time Visual Tracking and Identification for a Team of Homogeneous Humanoid Robots. - Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman:
Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach. - Bruno Bouzy, Marc Métivier, Damien Pellier:
Hedging Algorithms and Repeated Matrix Games. - Xiaole Zhao, Yulun Zhang, Tao Zhang, Xueming Zou:
Channel Splitting Network for Single MR Image Super-Resolution. - David Abramian, Anders Eklund:
Refacing: reconstructing anonymized facial features using GANs. - Jiehua Chen, Sven Grottke:
Small One-Dimensional Euclidean Preference Profiles. - Dogancan Temel, Ghassan AlRegib:
CSV: Image Quality Assessment Based on Color, Structure, and Visual System. - Janis Stolzenwald, Walterio W. Mayol-Cuevas:
Towards Intention Prediction for Handheld Robots: a Case of Simulated Block Copying. - Mohbat Tharani, Numan Khurshid, Murtaza Taj:
Unsupervised Deep Features for Remote Sensing Image Matching via Discriminator Network. - Luc Jaulmes, Miquel Moretó, Mateo Valero, Marc Casas:
Memory Vulnerability: A Case for Delaying Error Reporting. - Estefania Recayte, Giuseppe Cocco:
Caching in Heterogeneous Networks with Per-File Rate Constraints. - Yuankai Huo, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman:
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth. - Ching-An Cheng, Xinyan Yan, Nathan D. Ratliff, Byron Boots:
Predictor-Corrector Policy Optimization. - Anpei Chen, Minye Wu, Yingliang Zhang, Nianyi Li, Jie Lu, Shenghua Gao, Jingyi Yu:
Deep Surface Light Fields. - Brett W. Israelsen, Nisar R. Ahmed
Machine Self-Confidence in Autonomous Systems via Meta-Analysis of Decision Processes. - Youzhi Tian, Zhiting Hu, Zhou Yu:
Structured Content Preservation for Unsupervised Text Style Transfer. - David Janz, Jiri Hron, José Miguel Hernández-Lobato, Katja Hofmann, Sebastian Tschiatschek:
Successor Uncertainties: exploration and uncertainty in temporal difference learning. - Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi:
Visual Semantic Navigation using Scene Priors. - Nicholas Rhinehart, Rowan McAllister, Sergey Levine:
Deep Imitative Models for Flexible Inference, Planning, and Control. - Alexandru Tifrea, Gary Bécigneul, Octavian-Eugen Ganea:
Poincaré GloVe: Hyperbolic Word Embeddings. - Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba:
Recipe1M: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. - Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Somesh Jha, Xi Wu:
Concise Explanations of Neural Networks using Adversarial Training. - Sergey Matskevich
Generating Comments From Source Code with CCGs. - Colin S. Gordon
Synthesizing Program-Specific Static Analyses. - Tairan Liu, Kevin de Haan, Yair Rivenson, Zhensong Wei, Xin Zeng, Yibo Zhang, Aydogan Ozcan:
Deep learning-based super-resolution in coherent imaging systems. - Tejas Sudharshan Mathai, Kira L. Lathrop, John M. Galeotti:
Learning to Segment Corneal Tissue Interfaces in OCT Images. - Tanmay Randhavane, Aniket Bera, Emily Kubin, Austin Wang, Kurt Gray, Dinesh Manocha:
Pedestrian Dominance Modeling for Socially-Aware Robot Navigation. - Razieh Mehri, Volker Haarslev, Hamidreza Chinaei:
Optimizing Heuristics for Tableau-based OWL Reasoners. - Ahmed Abdelali, Mohammed Attia, Younes Samih, Kareem Darwish, Hamdy Mubarak:
Diacritization of Maghrebi Arabic Sub-Dialects. - Karim Armanious, Youssef Mecky, Sergios Gatidis, Bin Yang:
Adversarial Inpainting of Medical Image Modalities. - Junjie Luo, Hendrik Molter, André Nichterlein, Rolf Niedermeier:
Parameterized Dynamic Cluster Editing. - Dogancan Temel, Mohit Prabhushankar, Ghassan AlRegib:
UNIQUE: Unsupervised Image Quality Estimation. - Maharajan Chellapriyadharshini, Anoop Toffy, Srinivasa Raghavan K. M., V. Ramasubramanian:
Semi-supervised and Active-learning Scenarios: Efficient Acoustic Model Refinement for a Low Resource Indian Language. - Daniel Bruder, C. David Remy, Ram Vasudevan:
Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory. - Fu Sun, Linyang Li, Xipeng Qiu, Yang Liu:
U-Net: Machine Reading Comprehension with Unanswerable Questions. - Hamid Mohammadi, Seyed Hossein Khasteh:
A Machine Learning Approach to Persian Text Readability Assessment Using a Crowdsourced Dataset. - David Donahue, Anna Rumshisky:
Adversarial Text Generation Without Reinforcement Learning. - Lin Li, Yueqing Sun:
An Instance Transfer based Approach Using Enhanced Recurrent Neural Network for Domain Named Entity Recognition. - Yunpei Zheng, Lin Li, Luo Zhong, Jianwei Zhang, Jinghang Liu:
Using Sentiment Representation Learning to Enhance Gender Classification for User Profiling. - Yifan Wang, Shaoshan Liu, Xiaopei Wu, Weisong Shi:
CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles. - Ahmed Elnaggar, Bernhard Waltl, Ingo Glaser, Jörg Landthaler, Elena Scepankova, Florian Matthes:
Stop Illegal Comments: A Multi-Task Deep Learning Approach. - Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Deep Transfer Reinforcement Learning for Text Summarization. - Ahmed Elnaggar, Robin Otto, Florian Matthes:
Named-Entity Linking Using Deep Learning For Legal Documents: A Transfer Learning Approach. - Jiaxin Lu, Mai Xu, Ren Yang, Zulin Wang:
Understanding and Predicting the Memorability of Natural Scene Images. - Christopher D. McKinnon, Angela P. Schoellig:
Learn Fast, Forget Slow: Safe Predictive Learning Control for Systems with Unknown, Changing Dynamics Performing Repetitive Tasks. - Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Trellis Networks for Sequence Modeling. - Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih:
FlowQA: Grasping Flow in History for Conversational Machine Comprehension. - Murat Firat, Guillaume Crognier, Adriana F. Gabor, Yingqian Zhang, Cor A. J. Hurkens:
Constructing classification trees using column generation. - Kareem Darwish:
To Kavanaugh or Not to Kavanaugh: That is the Polarizing Question. - Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain:
Preventing DDoS using Bloom Filter: A Survey. - Stamatis Outsios, Konstantinos Skianis, Polykarpos Meladianos, Christos Xypolopoulos, Michalis Vazirgiannis:
Word Embeddings from Large-Scale Greek Web Content. - Giancarlo D. Salton, Robert J. Ross, John D. Kelleher:
Exploring the Use of Attention within an Neural Machine Translation Decoder States to Translate Idioms. - Bogdan Marculescu, Robert Feldt:
Finding a boundary between valid and invalid regions of the input space. - Chia-Chun Hung, Timothy P. Lillicrap, Josh Abramson, Yan Wu, Mehdi Mirza, Federico Carnevale, Arun Ahuja, Greg Wayne:
Optimizing Agent Behavior over Long Time Scales by Transporting Value. - Saifeddine Aidi, Mohamed Faten Zhani, Yehia Elkhatib:
On Improving Service Chains Survivability through Efficient Backup Provisioning. - Hairong Liu, Mingbo Ma, Liang Huang, Hao Xiong, Zhongjun He:
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding. - Josh Alman:
An Illuminating Algorithm for the Light Bulb Problem. - Khurram Shahzad, Xiangyun Zhou, Shihao Yan, Jinsong Hu, Feng Shu, Jun Li:
Achieving Covert Wireless Communications Using a Full-Duplex Receiver. - Abolfazl Asudeh, Zhongjun Jin, H. V. Jagadish:
Assessing and Remedying Coverage for a Given Dataset. - Arya D. McCarthy, Miikka Silfverberg, Ryan Cotterell, Mans Hulden, David Yarowsky:
Marrying Universal Dependencies and Universal Morphology. - Anamaria Dutceac Segesten, Michael Bossetta:
Can Euroscepticism Contribute to a European Public Sphere? The Europeanization of Media Discourses about Euroscepticism across Six Countries. - Winfried Lötzsch:
Using Deep Reinforcement Learning for the Continuous Control of Robotic Arms. - Di Fu, Pablo V. A. Barros, German Ignacio Parisi, Haiyan Wu, Sven Magg, Xun Liu, Stefan Wermter
Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution. - Bastian Bohn, Michael Griebel, Jens Oettershagen:
Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids. - Novi Quadrianto, Viktoriia Sharmanska
Neural Styling for Interpretable Fair Representations. - Ramin Raziperchikolaei, Harish S. Bhat:
A Direct Method to Learn States and Parameters of Ordinary Differential Equations. - Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Simple Policy Evaluation for Data-Rich Iterative Tasks. - Vithya Yogarajan, Michael Mayo, Bernhard Pfahringer:
A survey of automatic de-identification of longitudinal clinical narratives. - Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro:
Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks. - Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
SINE: Scalable Incomplete Network Embedding. - Xiaodong Cui, Wei Zhang, Zoltán Tüske, Michael Picheny:
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks. - Jonas Rothfuss, Dennis Lee, Ignasi Clavera, Tamim Asfour, Pieter Abbeel:
ProMP: Proximal Meta-Policy Search. - Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang:
Learning Two-layer Neural Networks with Symmetric Inputs. - Danping Zou, Yuanxin Wu, Ling Pei, Haibin Ling, Wenxian Yu:
StructVIO : Visual-inertial Odometry with Structural Regularity of Man-made Environments. - Dongdong Zeng, Ming Zhu, Hang Yang:
A Robust Local Binary Similarity Pattern for Foreground Object Detection. - Jerry Ma
Quasi-hyperbolic momentum and Adam for deep learning. - David Droeschel, Sven Behnke:
Efficient Continuous-Time SLAM for 3D Lidar-Based Online Mapping. - Kartik Hegde, Rohit Agrawal, Yulun Yao, Christopher W. Fletcher:
Morph: Flexible Acceleration for 3D CNN-based Video Understanding. - Yikun Ban:
On Finding Dense Subgraphs in Bipartite Graphs: Linear Algorithms. - Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse:
Named Entity Analysis and Extraction with Uncommon Words. - Quan Wang, Hakaru Tamukoh, Takashi Morie:
A Time-domain Analog Weighted-sum Calculation Model for Extremely Low Power VLSI Implementation of Multi-layer Neural Networks. - Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang:
Fast Randomized PCA for Sparse Data. - Yuta Nishimura, Katsuhito Sudoh, Graham Neubig, Satoshi Nakamura:
Multi-Source Neural Machine Translation with Data Augmentation. - Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual:
Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos. - Leigh Clark, Philip R. Doyle, Diego Garaialde, Emer Gilmartin, Stephan Schlögl, Jens Edlund, Matthew P. Aylett, João P. Cabral, Cosmin Munteanu, Benjamin R. Cowan:
The State of Speech in HCI: Trends, Themes and Challenges. - Yiding Yu, Soung Chang Liew, Taotao Wang:
Carrier-Sense Multiple Access for Heterogeneous Wireless Networks Using Deep Reinforcement Learning. - Yibo Zhang, Chao Qian, Ke Tang:
Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization. - Andrew G. D. Rowley, Christian Y. A. Brenninkmeijer, Simon Davidson, Donal Fellows, Andrew Gait, David R. Lester, Luis A. Plana, Oliver Rhodes, Alan B. Stokes, Steve B. Furber:
SpiNNTools: The Execution Engine for the SpiNNaker Platform. - Wei Duan, Jinjuan Ju, Qiang Sun, Yancheng Ji, Zhiliang Wang, Jeaho Choi, Guoan Zhang:
Capacity Enhanced Cooperative D2D Systems over Rayleigh Fading Channels with NOMA. - Alex Nowak-Vila, Francis R. Bach, Alessandro Rudi:
Sharp Analysis of Learning with Discrete Losses. - Stefan Kratsch, Shaohua Li, Dániel Marx, Marcin Pilipczuk, Magnus Wahlström:
Multi-budgeted directed cuts. - Hong Chen, Yifei Huang, Hideki Nakayama:
Semantic Aware Attention Based Deep Object Co-segmentation. - Xu Feng, Wenjian Yu, Yaohang Li:
Faster Matrix Completion Using Randomized SVD. - Marek Cygan, Pawel Komosa, Daniel Lokshtanov, Michal Pilipczuk, Marcin Pilipczuk, Saket Saurabh:
Randomized contractions meet lean decompositions. - Jing-Xuan Zhang, Zhen-Hua Ling, Li-Juan Liu, Yuan Jiang, Li-Rong Dai:
Sequence-to-Sequence Acoustic Modeling for Voice Conversion. - Denise Ratasich, Faiq Khalid, Florian Geissler, Radu Grosu, Muhammad Shafique, Ezio Bartocci:
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems. - Esther Galby, Andrea Munaro, Bernard Ries:
Semitotal Domination: New hardness results and a polynomial-time algorithm for graphs of bounded mim-width. - Kele Xu, Haibo Mi, Dawei Feng, Huaimin Wang, Chuan Chen, Zibin Zheng, Xu Lan:
Collaborative Deep Learning Across Multiple Data Centers. - Dhruv Khandelwal, Maarten Schoukens, Roland Tóth:
On the Simulation of Polynomial NARMAX Models. - Bram Custers, Amir Vaxman:
Subdivision Directional Fields. - Atin Mukherjee, Debesh Choudhury:
An Area Efficient 2D Fourier Transform Architecture for FPGA Implementation. - Vincent Andrearczyk, Adrien Depeursinge:
Rotational 3D Texture Classification Using Group Equivariant CNNs. - Sharad Vikram, Matthew D. Hoffman, Matthew J. Johnson:
The LORACs prior for VAEs: Letting the Trees Speak for the Data. - Aiga Suzuki, Hayaru Shouno:
A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis. - Robert Harb, Franz Pernkopf:
Sound event detection using weakly-labeled semi-supervised data with GCRNNS, VAT and Self-Adaptive Label Refinement. - Mehdi Hosseini Moghadam, Bardia Panahbehagh:
Creating a New Persian Poet Based on Machine Learning. - Alexander Tkachenko, Kairit Sirts:
Neural Morphological Tagging for Estonian. - Mario Lezoche, Hervé Panetto
Cyber-Physical Systems, a new formal paradigm to model redundancy and resiliency. - Guillaume Chèze:
How to share a cake with a secret agent. - Abdulkadir Çelikkanat, Fragkiskos D. Malliaros:
TNE: A Latent Model for Representation Learning on Networks. - Cédric L. R. Buron, Zahia Guessoum, Sylvain Ductor, Olivier Roussel:
MoCaNA, un agent de n{é}gociation automatique utilisant la recherche arborescente de Monte-Carlo. - Vladyslav Fedchenko, Giovanni Neglia, Bruno Ribeiro:
Feedforward Neural Networks for Caching: Enough or Too Much? - Dennis Eschweiler, Thiago Vallin Spina, Rohan C. Choudhury, Elliot Meyerowitz, Alexandre Cunha, Johannes Stegmaier:
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images. - Chongwen Huang, Alessio Zappone, George C. Alexandropoulos, Mérouane Debbah, Chau Yuen:
Large Intelligent Surfaces for Energy Efficiency in Wireless Communication. - Yue Lu, Yun Zhou, Zhuqing Jiang, Xiaoqiang Guo, Zixuan Yang:
Channel Attention and Multi-level Features Fusion for Single Image Super-Resolution. - Pablo Martinez-Gonzalez, Sergiu Oprea, Alberto Garcia-Garcia, Alvaro Jover-Alvarez
UnrealROX: An eXtremely Photorealistic Virtual Reality Environment for Robotics Simulations and Synthetic Data Generation. - Petar Popovski, Cedomir Stefanovic, Jimmy Jessen Nielsen, Elisabeth de Carvalho, Marko Angjelichinoski, Kasper F. Trillingsgaard, Alexandru-Sabin Bana:
Wireless Access in Ultra-Reliable Low-Latency Communication (URLLC). - Weifeng Ge, Weilin Huang, Dengke Dong, Matthew R. Scott:
Deep Metric Learning with Hierarchical Triplet Loss. - Jae Hyeck Lee, Myong-Soon Park, Sayed Chhattan Shah:
Wi-Fi Direct Based Mobile Ad hoc Network. - Fabrizio Germano, Francesco Sobbrio:
Opinion Dynamics via Search Engines (and other Algorithmic Gatekeepers). - D. J. W. Belleter, Mohamed Maghenem, Claudio Paliotta, Kristin Ytterstad Pettersen:
Observer Based Path Following for Underactuated Marine Vessels in the Presence of Ocean Currents: A Global Approach - With proofs. - Yuan Gao, Fangkai Yang, Martin Frisk, Daniel Hernández, Christopher Peters, Ginevra Castellano:
Social Behavior Learning with Realistic Reward Shaping. - (Withdrawn) Non-computability of human intelligence.
- Robert E. Kent:
Rough Concept Analysis. - Shuang Yang, Yuanhang Zhang, Dalu Feng, Mingmin Yang, Chenhao Wang, Jingyun Xiao, Keyu Long, Shiguang Shan, Xilin Chen:
LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild. - Clovis Eberhart, Tom Hirschowitz
Simple game semantics and Day convolution. - Bruce J. MacLennan:
Topographic Representation for Quantum Machine Learning. - Xing Fan, Hao Luo, Xuan Zhang, Lingxiao He, Chi Zhang, Wei Jiang:
SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification. - Loet Leydesdorff, Lutz Bornmann, Tobias Opthof:
hα: The Scientist as Chimpanzee or Bonobo. - Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities. - Selmer Bringsjord, Naveen Sundar Govindarajulu, Atriya Sen, Matthew Peveler, Biplav Srivastava, Kartik Talamadupula:
Tentacular Artificial Intelligence, and the Architecture Thereof, Introduced. - Amichai Painsky, Gregory W. Wornell:
Bregman Divergence Bounds and the Universality of the Logarithmic Loss. - Kangjia Mo, Hu Wang, Zhenxing Cheng, Yu Li:
IRA assisted MMC-based topology optimization method. - Markus Höhnerbach, Paolo Bientinesi:
Optimizing AIREBO: Navigating the Journey from Complex Legacy Code to High Performance. - Xuanda Chen, Ziyu Xiong, Jian Hu:
The Trajectory of Voice Onset Time with Vocal Aging. - Muhammad Kamran Janjua, Shah Nawaz, Alessandro Calefati, Ignazio Gallo:
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions. - Sayed Chhattan Shah:
Recent Advances in Mobile Grid and Cloud Computing. - Zi-Yi Ke, Chiou-Ting Hsu:
Generating Self-Guided Dense Annotations for Weakly Supervised Semantic Segmentation. - Yigitcan Kaya, Tudor Dumitras:
How to Stop Off-the-Shelf Deep Neural Networks from Overthinking. - Zhiqing Luo, Wei Wang, Jun Qu, Tao Jiang, Qian Zhang:
ShieldScatter: Improving IoT Security with Backscatter Assistance. - Mohamed Hassan:
On the Off-chip Memory Latency of Real-Time Systems: Is DDR DRAM Really the Best Option? - Alvaro Perez-Diaz
Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators. - Therese Biedl:
Segment representations with small resolution. - Roman V. Yampolskiy:
Why We Do Not Evolve Software? Analysis of Evolutionary Algorithms. - Yujiao Tang, Feng Yang, Shaofeng Yuan, Chang'an A. Zhan:
A Multi-stage Framework with Context Information Fusion Structure for Skin Lesion Segmentation. - Sashank J. Reddi, Satyen Kale, Felix X. Yu, Daniel N. Holtmann-Rice, Jiecao Chen, Sanjiv Kumar:
Stochastic Negative Mining for Learning with Large Output Spaces. - Thorsten Götte, Vipin Ravindran Vijayalakshmi, Christian Scheideler:
Always be Two Steps Ahead of Your Enemy. - Estefania Recayte, Francisco Lázaro, Gianluigi Liva:
Caching at the Edge with LT codes. - S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman:
Real-Valued Evolutionary Multi-Modal Optimization driven by Hill-Valley Clustering. - Yunan Wu
A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification. - Ahmad Taie, Raphael Rubino, Josef van Genabith:
INFODENS: An Open-source Framework for Learning Text Representations. - Fahed Awad, Aisha Al-Sadi, Fida'a Al-Quran, Abdulsalam Alsmady:
Distributed and adaptive location identification system for mobile devices. - Luciano Serafini, Paolo Traverso:
Learning abstract planning domains and mappings to real world perceptions. - Mohammad Shokri, Ahad Harati, Kimya Taba:
Salient Object Detection in Video using Deep Non-Local Neural Networks. - Souad Bouasker:
Motifs corrélés rares : Caractérisation et nouvelles représentations concises. - Joseph D. Gleason, Abraham P. Vinod, Meeko M. K. Oishi:
Lagrangian Approximations for Stochastic Reachability of a Target Tube. - Mahbubur Rahman
A Comprehensive Survey on Networking over TV White Spaces. - Pratyusha Sharma, Lekha Mohan, Lerrel Pinto, Abhinav Gupta:
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation. - Arturo Gomez Chavez, Christian A. Mueller, Tobias Doernbach, Davide Chiarella, Andreas Birk:
Robust Gesture-Based Communication for Underwater Human-Robot Interaction in the context of Search and Rescue Diver Missions. - Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Arya D. McCarthy, Katharina Kann, S. J. Mielke, Garrett Nicolai, Miikka Silfverberg, David Yarowsky, Jason Eisner, Mans Hulden:
The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. - Wei Dai, Kenji Yoshigoe, William Parsley:
Improving Data Quality through Deep Learning and Statistical Models. - Matthew Dale, Julian F. Miller, Susan Stepney
A Substrate-Independent Framework to Characterise Reservoir Computers. - Kumar Shridhar, Amit Sahu, Ayushman Dash, Pedro Alonso, Gustav Pihlgren, Vinay Pondeknath, Fotini Simistira, Marcus Liwicki:
Subword Semantic Hashing for Intent Classification on Small Datasets. - Samuel Yeom, Anupam Datta, Matt Fredrikson
Hunting for Discriminatory Proxies in Linear Regression Models. - Soumil Mandal, Sankalp Sanand:
Strategies for Language Identification in Code-Mixed Low Resource Languages. - Shuai Zhao, Manoop Talasila, Guy Jacobson, Cristian Borcea, Syed Anwar Aftab, John F. Murray:
Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform. - Gregory Kahn, Adam Villaflor, Pieter Abbeel, Sergey Levine:
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation. - Jacques Wainer, Rodrigo A. Franceschinell:
An empirical evaluation of imbalanced data strategies from a practitioner's point of view. - Debesh Choudhury:
Fourier domain asymmetric cryptosystem for privacy protected multimodal biometric security. - Yanjie Wang, Daniel Ruffinelli, Samuel Broscheit, Rainer Gemulla:
On Evaluating Embedding Models for Knowledge Base Completion. - Bowen Zhang, Hexiang Hu, Fei Sha:
Cross-Modal and Hierarchical Modeling of Video and Text. - Wei-Ning Hsu, Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Yuxuan Wang, Yuan Cao, Ye Jia, Zhifeng Chen, Jonathan Shen, Patrick Nguyen, Ruoming Pang:
Hierarchical Generative Modeling for Controllable Speech Synthesis. - Mengye Ren, Renjie Liao, Ethan Fetaya, Richard S. Zemel:
Incremental Few-Shot Learning with Attention Attractor Networks. - Yanfu Zhang, Wenshan Wang, Rogerio Bonatti, Daniel Maturana, Sebastian A. Scherer:
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories. - Marcus Vinicius Borela De Castro, Carlos Alberto Mamede Hernandes:
A Metric of Software Size as a Tool for IT Governance. - V. I. Mebin Jose, D. J. Binoj:
Hybrid Feature Based SLAM Prototype. - Robert E. Kent, Christian Neuss:
Conceptual Analysis of Hypertext. - Hyunji Chung:
A Retrieval Framework and Implementation for Electronic Documents with Similar Layouts. - Muhammad Usama, Junaid Qadir, Ala I. Al-Fuqaha:
Adversarial Attacks on Cognitive Self-Organizing Networks: The Challenge and the Way Forward. - Mahdi Ahmadi, Alireza Norouzi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi, Ali Emami:
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks. - Weize Yu, Jia Chen:
PUF-AES-PUF: a novel PUF architecture against non-invasive attacks. - Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi:
Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction. - Mouhammd Alkasassbeh, Samail Al-Daleen:
Classification of malware based on file content and characteristics. - Yitzhak Spielberg, Amos Azaria:
The Concept of Criticality in Reinforcement Learning. - Jayesh Choudhari, Manoj Gupta, Shivdutt Sharma:
Nearly Optimal Space Efficient Algorithm for Depth First Search. - Mahmoud Khairy, Akshay Jain, Tor M. Aamodt, Timothy G. Rogers:
Exploring Modern GPU Memory System Design Challenges through Accurate Modeling. - R. Stuart Geiger, Aaron Halfaker:
Operationalizing Conflict and Cooperation between Automated Software Agents in Wikipedia: A Replication and Expansion of 'Even Good Bots Fight'. - Zafar Iqbal, Tahreem Saeed, Tariq Rafiq, Ahsan Humayun:
Mathematical Modeling of Routes Maintenance and Recovery Procedure for MANETs. - Francesco Pelosin:
Graph Compression Using The Regularity Method. - Zhenxing Cheng, Hu Wang, Gui-Rong Liu:
Closed loop image aided optimization for cold spray process based on molecular dynamics. - Serge Kas Hanna, Salim El Rouayheb:
List Decoding of Deletions Using Guess & Check Codes. - Paul Gastin, Shankara Narayanan Krishna:
Unambiguous Forest Factorization. - Vlad Firoiu, Tina Ju, Josh Tenenbaum:
At Human Speed: Deep Reinforcement Learning with Action Delay. - Sharan Vaswani, Francis R. Bach, Mark Schmidt:
Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron. - Christoph Becker:
An analysis of Principle 1.2 in the new ACM Code Of Ethics. - Mehran Pesteie, Purang Abolmaesumi, Robert Rohling:
Deep Neural Maps. - Erfan Pakdamanian, Lu Feng, Inki Kim:
The Effect of Whole-Body Haptic Feedback on Driver's Perception in Negotiating a Curve. - Vikas K. Garg, Tamar Pichkhadze:
Peek Search: Near-Optimal Online Markov Decoding. - Erik Sy, Christian Burkert, Hannes Federrath, Mathias Fischer:
Tracking Users across the Web via TLS Session Resumption. - Shalabh Jain, Qian Wang, Md Tanvir Arafin, Jorge Guajardo:
Probing Attacks on Physical Layer Key Agreement for Automotive Controller Area Networks (Extended Version). - Rafik Hadfi:
Solving Tree Problems with Category Theory. - Yu-Hang Tang, Wibe A. de Jong:
Prediction of Atomization Energy Using Graph Kernel and Active Learning. - Yuu Jinnai, David Abel, Michael L. Littman, George Dimitri Konidaris:
Finding Options that Minimize Planning Time. - Franklin Wei, Mahalingam Ramkumar, Somya D. Mohanty:
A Scalable, Trustworthy Infrastructure for Collaborative Container Repositories. - Adly Templeton, Jugal Kalita:
Exploring Sentence Vector Spaces through Automatic Summarization. - Giuseppe Laurenza, Riccardo Lazzeretti, Luca Mazzotti:
Malware triage for early identification of Advanced Persistent Threat activities. - Zhuwei Qin, Fuxun Yu, Chenchen Liu, Liang Zhao, Xiang Chen:
Interpretable Convolutional Filter Pruning. - Maboud F. Kaloorazi, Rodrigo C. de Lamare:
Compressed Randomized UTV Decompositions for Low-Rank Approximations and Big Data Applications. - Kimon Fountoulakis, David F. Gleich, Michael W. Mahoney:
A Short Introduction to Local Graph Clustering Methods and Software. - Sayed Chhattan Shah:
A Mobile Ad hoc Cloud Computing and Networking Infrastructure for Automated Video Surveillance System. - Guofu Li, Pengjia Zhu, Jin Li, Zhemin Yang, Ning Cao, Zhiyi Chen:
Security Matters: A Survey on Adversarial Machine Learning. - Bahman Kalantari:
An O(1/ε)-Iteration Triangle Algorithm for A Convex Hull Membership. - Andri Ashfahani, Mahardhika Pratama:
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments. - Aurick Qiao, Bryon Aragam, Bingjing Zhang, Eric P. Xing:
Fault Tolerance in Iterative-Convergent Machine Learning. - Masajiro Iwasaki, Daisuke Miyazaki:
Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data. - Alon Gonen, Elad Hazan:
Learning in Non-convex Games with an Optimization Oracle. - Yiming Cui, Ting Liu, Li Xiao, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu:
A Span-Extraction Dataset for Chinese Machine Reading Comprehension. - Hanze Dong, Yanwei Fu, Leonid Sigal, Sung Ju Hwang, Yu-Gang Jiang, Xiangyang Xue:
Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective. - Giannis Moutsinas, Weisi Guo:
Stability of Traffic Load Balancing on Wireless Complex Networks. - Andrea Condoluci
Admissible Tools in the Kitchen of Intuitionistic Logic. 10-23 - Gabriel Ebner:
Fast Cut-Elimination using Proof Terms: An Empirical Study. 24-38 - Sorin Stratulat:
Validating Back-links of FOLID Cyclic Pre-proofs. 39-53 - Zhenghang Zhong, Zhe Tang, Xiangxing Li, Tiancheng Yuan, Yang Yang, Meng Wei, Yuanyuan Zhang, Renzhi Sheng, Naomi Grant, Chongfeng Ling, Xintao Huan, Kyeong Soo Kim, Sanghyuk Lee:
XJTLUIndoorLoc: A New Fingerprinting Database for Indoor Localization and Trajectory Estimation Based on Wi-Fi RSS and Geomagnetic Field. - Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang:
Progressive Weight Pruning of Deep Neural Networks using ADMM. - Mbazingwa Elirehema Mkiramweni, Chungang Yang, Jiandong Li, Zhu Han:
Game-Theoretic Approaches for Wireless Communications with Unmanned Aerial Vehicles. - Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown:
Analysis of Railway Accidents' Narratives Using Deep Learning. - Xuanli He, Gholamreza Haffari, Mohammad Norouzi:
Sequence to Sequence Mixture Model for Diverse Machine Translation. - Martin J. Shepperd:
Inferencing into the void: problems with implicit populations Comments on 'Empirical software engineering experts on the use of students and professionals in experiments'. - Lingxiao He, Zhenan Sun, Yuhao Zhu, Yunbo Wang:
Recognizing Partial Biometric Patterns. - Harish Doddi, Saurav Talukdar, Deepjyoti Deka, Murti V. Salapaka:
Data-driven identification of a thermal network in multi-zone building. - Michal Ozery-Flato
Adversarial Balancing for Causal Inference. - Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer:
Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations. - Rob van Glabbeek, Peter Höfner:
Progress, Justness and Fairness. - Marcos Baptista-Ríos, Roberto Javier López-Sastre, Francisco Javier Acevedo-Rodríguez, Saturnino Maldonado-Bascón:
Embarrassingly Simple Model for Early Action Proposal. - Pawel Gawrychowski, Florin Manea, Radoslaw Serafin:
Fast and Longest Rollercoasters. - Parwat Singh Anjana
Cloud Service Provider Evaluation System using Fuzzy Rough Set Technique. - Chun Guo:
Understanding the Related-Key Security of Feistel Ciphers from a Provable Perspective. - Wouter M. Kouw, Marco Loog, Wilbert Bartels, Adriënne M. Mendrik:
Learning an MR acquisition-invariant representation using Siamese neural networks. - Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
Learning to quantify emphysema extent: What labels do we need? - Valérie Berthé, Paulina Cecchi Bernales:
Balancedness and coboundaries in symbolic systems. - Xuanli He, Quan Hung Tran, William Havard, Laurent Besacier, Ingrid Zukerman, Gholamreza Haffari:
Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation. - Robin Haunschild, Loet Leydesdorff, Lutz Bornmann, Iina Hellsten, Werner Marx:
Does the public discuss other topics on climate change than researchers? A comparison of networks based on author keywords and hashtags. - Syed Arshad Ali, Mohammad Affan, Mansaf Alam:
A Study of Efficient Energy Management Techniques for Cloud Computing Environment. - Eva Zácková, Jan Romportl:
What might matter in autonomous cars adoption: first person versus third person scenarios. - Francesco Croce, Maksym Andriushchenko, Matthias Hein:
Provable Robustness of ReLU networks via Maximization of Linear Regions. - Leo Pauly, Wisdom C. Agboh, Mohamed Abdellatif, David C. Hogg, Raul Fuentes:
One-Shot Observation Learning. - Nick Fischer, Rob van Glabbeek:
Axiomatising Infinitary Probabilistic Weak Bisimilarity of Finite-State Behaviours. - Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti, Marcus Liwicki, Kaspar Riesen, Rolf Ingold, Andreas Fischer:
Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks. - Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp:
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification? - An Liu, Vincent K. N. Lau, Wenchao Ding, Edmund M. Yeh:
Mixed-Timescale Online PHY Caching for Dual-Mode MIMO Cooperative Networks. - Niv Buchbinder, Anupam Gupta, Marco Molinaro, Joseph Naor:
k-Servers with a Smile: Online Algorithms via Projections. - Kilian Grage, Klaus Jansen, Kim-Manuel Klein:
An EPTAS for machine scheduling with bag-constraints. - Ahmed Elnaggar, Christoph Gebendorfer, Ingo Glaser, Florian Matthes:
Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification. - Ali Tamimi, Adam Hahn, Sandip Roy:
Cyber Threat Impact Analysis to Air Traffic Flows Through Dynamic Queue Networks. - Hongbo Rong:
Expressing Sparse Matrix Computations for Productive Performance on Spatial Architectures. - David Gunning:
Machine Common Sense Concept Paper. - Xiaochun Liu, Ibón Guillén, Marco La Manna, Ji Hyun Nam, Syed Azer Reza, Toan Huu Le, Diego Gutierrez, Adrián Jarabo, Andreas Velten:
Virtual Wave Optics for Non-Line-of-Sight Imaging. - Nikolas Hesse, Sergi Pujades, Michael J. Black, Michael Arens, Ulrich G. Hofmann, A. Sebastian Schroeder:
Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences. - Nikolaos I. Miridakis, Dimitrios D. Vergados, Angelos Michalas:
All-Optical FSO Relaying Under Mixture-Gamma Fading Channels and Pointing Errors. - Chuang Ye, Mustafa Cenk Gursoy, Senem Velipasalar:
Deep Learning Based Power Control for Quality-Driven Wireless Video Transmissions. - Junqing Qiu, Guoren Zhong, Yihua Lu, Kun Xin, Huihuan Qian, Xi Zhu:
The Newton Scheme for Deep Learning. - Dena Firoozi, Sebastian Jaimungal, Peter E. Caines:
Convex Analysis for LQG Systems with Applications to Major Minor LQG Mean Field Game Systems. - Thomas Debris-Alazard, Nicolas Sendrier, Jean-Pierre Tillich:
Wave: A New Code-Based Signature Scheme. - Christos Ellinas, Naoki Masuda:
Modelling project failure and its mitigation in a time-stamped network of interrelated tasks. - Stefano Maranò, Peter Willett:
Algorithms and Fundamental Limits for Unlabeled Detection using Types. - Georgia Avarikioti, Gerrit Janssen, Yuyi Wang, Roger Wattenhofer:
Payment Network Design with Fees. - R. Tohid, Bibek Wagle, Shahrzad Shirzad, Patrick Diehl, Adrian Serio, Alireza Kheirkhahan, Parsa Amini, Katy Williams, Kate Isaacs, Kevin A. Huck, Steven R. Brandt, Hartmut Kaiser:
Asynchronous Execution of Python Code on Task Based Runtime Systems. - Abdelrahman Yaseen, Katrin S. Lohan:
Playing Pairs with Pepper. - Gongbo Tang, Rico Sennrich, Joakim Nivre:
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation. - Yitong Wang, Dihong Gong, Zheng Zhou, Xing Ji, Hao Wang, Zhifeng Li, Wei Liu, Tong Zhang:
Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition. - Georgia Avarikioti, Yuyi Wang, Roger Wattenhofer:
Algorithmic Blockchain Channel Design. - Parinaz Naghizadeh, Arunesh Sinha:
Adversarial Contract Design for Private Data Commercialization. - Artur Jordão, Fernando Yamada, William Robson Schwartz:
Pruning Deep Neural Networks using Partial Least Squares. - Christian Krogh, Johnny Jakobsen, James A. Sherwood:
Development of a Computationally Efficient Fabric Model for Optimization of Gripper Trajectories in Automated Composite Draping. - Merzoug Soltane, Yudith Cardinale, Rafael Angarita, Philippe Rosse, Marta Rukoz, Derdour Makhlouf, Okba Kazar:
A Self-adaptive Agent-based System for Cloud Platforms. - Brett Hemenway Falk, Nadia Heninger, Michael Rudow:
Properties of Constacyclic Codes Under the Schur Product. - Robert E. Kent:
Conceptual Collectives. - Steven Swanson:
Trial by Flyer: Building Quadcopters From Scratch in a Ten-Week Capstone Course. - Baohua Sun, Lin Yang, Patrick Dong, Wenhan Zhang, Jason Dong, Charles Young:
Super Characters: A Conversion from Sentiment Classification to Image Classification. - Ximing Liu, Yingjiu Li, Robert H. Deng, Bing Chang, Shujun Li:
When Human cognitive modeling meets PINs: User-independent inter-keystroke timing attacks. - Fer-Jan de Vries:
Many-valued logics inside λ-calculus: Church's rescue of Russell with B{\"}ohm trees. - Matthias Pilz, Fariborz Baghaei Naeini, Ketil Grammont, Coline Smagghe, Mastaneh Davis, Jean-Christophe Nebel, Luluwah Al-Fagih, Eckhard Pfluegel:
Security Attacks on Smart Grid Scheduling and Their Defences: A Game-Theoretic Approach. - Mehrdad Tahmasbi, Anne Savard, Matthieu R. Bloch:
Covert Capacity of Non-Coherent Rayleigh-Fading Channels. - Jing Mei, Shiwan Zhao, Feng Jin, Eryu Xia, Haifeng Liu, Xiang Li:
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks. - Jose H. Blanchet, Arun Jambulapati, Carson Kent, Aaron Sidford:
Towards Optimal Running Times for Optimal Transport. - Rosana Veroneze, Fernando J. Von Zuben:
RIn-Close_CVC2: an even more efficient enumerative algorithm for biclustering of numerical datasets. - Puneet Kumar, Behnam Dezfouli:
Implementation and Analysis of QUIC for MQTT. - Mennatullah Siam, Chen Jiang, Steven Weikai Lu, Laura Petrich, Mahmoud Gamal, Mohamed Elhoseiny, Martin Jägersand:
Video Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting. - Jianguo Chen, Kenli Li, Kashif Bilal, Xu Zhou, Keqin Li, Philip S. Yu:
A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks. - Evan M. Yu, Mert R. Sabuncu:
A Convolutional Autoencoder Approach to Learn Volumetric Shape Representations for Brain Structures. - Jianguo Chen, Kenli Li, Zhuo Tang, Kashif Bilal, Shui Yu
A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment. - Emil Saucan, Melanie Weber:
Forman's Ricci curvature - From networks to hypernetworks. - Graham Gobieski, Nathan Beckmann, Brandon Lucia:
Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems. - Koustabh Dolui, Csaba Király:
Towards Multi-container Deployment on IoT Gateways. - Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh:
The UCR Time Series Archive. - Jianguo Chen, Kenli Li, Huigui Rong, Kashif Bilal, Nan Yang, Keqin Li:
A Disease Diagnosis and Treatment Recommendation System Based on Big Data Mining and Cloud Computing. - Hanlin Tang, Chen Yu, Cédric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ji Liu, Ce Zhang:
Distributed Learning over Unreliable Networks. - Suryanto Nugroho, Prihandoko:
Architecture of Text Mining Application in Analyzing Public Sentiments of West Java Governor Election using Naive Bayes Classification. - Nicola Krombach, David Droeschel, Sebastian Houben, Sven Behnke:
Feature-based visual odometry prior for real-time semi-dense stereo SLAM. - Chulhee Yun, Suvrit Sra, Ali Jadbabaie:
Finite sample expressive power of small-width ReLU networks. - Matthew Porter
Simulation and Real-World Evaluation of Attack Detection Schemes. - Jianguo Chen, Kenli Li, Huigui Rong, Kashif Bilal, Keqin Li, Philip S. Yu:
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments. - Kunkun Pang, Mingzhi Dong, Yang Wu, Timothy M. Hospedales:
Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice. - Haoyu Wang, Zhe Liu, Jingyue Liang, Narseo Vallina-Rodriguez, Yao Guo, Li Li, Juan Tapiador, Jingcun Cao, Guoai Xu:
Beyond Google Play: A Large-Scale Comparative Study of Chinese Android App Markets. - Federica Calanca, Luiza Sayfullina, Lara Minkus, Claudia Wagner, Eric Malmi:
Responsible team players wanted: an analysis of soft skill requirements in job advertisements. - Urtzi Ayesta, Manu K. Gupta, Ina Maria Verloop:
Load balancing with heterogeneous schedulers. - Dominika Woszczyk, Gerasimos Spanakis:
MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities. - Lucas Cassano, Kun Yuan, Ali H. Sayed:
Multi-Agent Fully Decentralized Off-Policy Learning with Linear Convergence Rates. - Facundo Mémoli, Zane T. Smith, Zhengchao Wan:
The Wasserstein transform. - Markus Ring, Daniel Schlör, Dieter Landes, Andreas Hotho:
Flow-based Network Traffic Generation using Generative Adversarial Networks. - Jinfa Wang, Hai Zhao, Jiu-Qiang Xu, Hequn Li, Shuai Chao, Chuangyang Zheng:
Using Intuitionistic Fuzzy Set for Anomaly Detection of Network Traffic from Flow Interaction. - Ming Tang, Lin Gao, Jianwei Huang:
Enabling Edge Cooperation in Tactile Internet via 3C Resource Sharing. - Yunxiao Zhang:
Optimal Energy Distribution with Energy Packet Networks. - Uyoata Uyoata, Mqhele E. Dlodlo:
Relay Assisted Device-to-Device Communication: Approaches and Issues. - Rabe Arshad, Lutz Lampe, Hesham ElSawy, Md. Jahangir Hossain:
Integrating UAVs into Existing Wireless Networks: A Stochastic Geometry Approach. - (Withdrawn) LadderNet: Multi-path networks based on U-Net for medical image segmentation.
- Caroline S. Wagner, Travis A. Whetsell, Jeroen Baas, Koen Jonkers:
Openness and Impact of Leading Scientific Countries. - Joe Cheriyan, Jack Dippel, Fabrizio Grandoni, Arindam Khan, Vishnu V. Narayan:
The Matching Augmentation Problem: A 7/4-Approximation Algorithm. - Antoine Amarilli, Michael Benedikt:
When Can We Answer Queries Using Result-Bounded Data Interfaces? - Tad Hogg:
Identifying Vessel Branching from Fluid Stresses on Microscopic Robots. - David Eppstein, Bruce A. Reed:
Finding Maximal Sets of Laminar 3-Separators in Planar Graphs in Linear Time. - Nicole M. Radziwill:
Quality 4.0: Let's Get Digital - The many ways the fourth industrial revolution is reshaping the way we think about quality. - Alex The Phuong Nguyen, Raphaël Le Bidan, Frédéric Guilloud:
Superimposed frame synchronization optimization for Finite block-length regime. - Xiexing Feng, Libo Cao, Yunxian Zhang, Lifan Tan:
The Effects of Using Taxi-Hailing Application on Driving Performance. - Nabila Abraham, Naimul Mefraz Khan:
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation. - Amir Najafi
On Statistical Learning of Simplices: Unmixing Problem Revisited. - Shi Li, Xiangyu Guo:
Distributed k-Clustering for Data with Heavy Noise. - Yongwang Zhao, David Sanán, Fuyuan Zhang, Yang Liu:
An Event-based Compositional Reasoning Approach for Concurrent Reactive Systems. - Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim:
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey. - Ryo Nomura, Hideki Yagi:
Optimum Overflow Thresholds in Variable-Length Source Coding Allowing Non-Vanishing Error Probability. - Zhili Chen, Tianjiao Ni, Hong Zhong, Shun Zhang, Jie Cui:
Differentially Private Double Spectrum Auction with Approximate Social Welfare Maximization. - Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang:
A Self-Organizing Tensor Architecture for Multi-View Clustering. - Zhili Chen, Xuemei Wei, Hong Zhong, Jie Cui, Yan Xu, Shun Zhang:
Making Double Spectrum Auction Practical: Both Privacy and Efficiency Matter. - Jian Chen, Guohao Zhang, Wesley Chiou, David H. Laidlaw, Alexander P. Auchus:
Measuring the Effects of Scalar and Spherical Colormaps on Ensembles of DMRI Tubes. - Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation. - Nagender Aneja, Sapna Gambhir:
Profile-Based Ad Hoc Social Networking Using Wi-Fi Direct on the Top of Android. - Jing Xu, Yuze Zou, Shimin Gong, Lin Gao, Dusit Niyato, Wenqing Cheng:
Robust Transmissions in Wireless Powered Multi-Relay Networks with Chance Interference Constraints. - Michael B. Cohen, Yin Tat Lee, Zhao Song:
Solving Linear Programs in the Current Matrix Multiplication Time. - Michelle Esponda, Thomas M. Howard:
Adaptive Grasp Control through Multi-Modal Interactions for Assistive Prosthetic Devices. - Kamyar Azizzadenesheli, Manish Kumar Bera, Animashree Anandkumar:
Trust Region Policy Optimization of POMDPs. - Vishal Keshav, Tejpratap G. V. S. L:
Decoupling Semantic Context and Color Correlation with multi-class cross branch regularization. - Zhiyi Huang, Binghui Peng, Zhihao Gavin Tang, Runzhou Tao, Xiaowei Wu, Yuhao Zhang:
Tight Competitive Ratios of Classic Matching Algorithms in the Fully Online Model. - Shahbaz Rezaei, Xin Liu:
Deep Learning for Encrypted Traffic Classification: An Overview. - Antonio Luca Alfeo, Eduardo Castelló Ferrer, Yago Lizarribar Carrillo, Arnaud Grignard, Luis Alonso Pastor, Dylan T. Sleeper, Mario G. C. A. Cimino, Bruno Lepri, Gigliola Vaglini, Kent Larson, Marco Dorigo, Alex 'Sandy' Pentland:
Urban Swarms: A new approach for autonomous waste management. - Yang Zou, Zhiding Yu, B. V. K. Vijaya Kumar, Jinsong Wang:
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training. - Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang
Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks. - Ivan Dokmanic, Rémi Gribonval:
Concentration of the Frobenius norms of pseudoinverses. - Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas:
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach. - Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain, Karthik Sankaranarayanan:
Unsupervised Neural Text Simplification. - Anant Chopra, Deepak S. Kalhan, Amrit S. Bedi, Abhishek K. Gupta, Ketan Rajawat:
On Socially Optimal Traffic Flow in the Presence of Random Users. - Sonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar, Mike Lewis:
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations. - Quoc-Tin Phan, Giulia Boato, Francesco G. B. De Natale:
Accurate and Scalable Image Clustering Based On Sparse Representation of Camera Fingerprint. - Sebastian Martschat, Katja Markert:
A Temporally Sensitive Submodularity Framework for Timeline Summarization. - Michael Innes:
Don't Unroll Adjoint: Differentiating SSA-Form Programs. - Bolun Zheng, Rui Sun, Xiang Tian, Yaowu Chen:
S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction. - Simmi, Sonaal Kant, Pulkit Kumar, Anubha Gupta, Ritu Gupta:
LeukoNet: DCT-based CNN architecture for the classification of normal versus Leukemic blasts in B-ALL Cancer. - Diego Rodriguez, Antonio Di Guardo, Antonio Frisoli, Sven Behnke:
Learning Postural Synergies for Categorical Grasping through Shape Space Registration. - Shin-ya Katsumata, Tetsuya Sato, Tarmo Uustalu:
Codensity Lifting of Monads and its Dual. - Tineke Blom, Anna Klimovskaia
An Upper Bound for Random Measurement Error in Causal Discovery. - Sejin Lee, Byungjae Park, Ayoung Kim:
Deep Learning from Shallow Dives: Sonar Image Generation and Training for Underwater Object Detection. - Saeed Akhoondian Amiri, Alexandru Popa, Golnoosh Shahkarami, Hossein Vahidi:
Complexity of computing the anti-Ramsey numbers. - Nicolas Champseix, Esther Galby, Bernard Ries:
Planar CPG graphs. - Yulia S. Chernyshova, Mikhail A. Aliev, Ekaterina S. Gushchanskaia, Alexander V. Sheshkus:
Optical Font Recognition in Smartphone-Captured Images, and its Applicability for ID Forgery Detection. - Tom Sgouros:
A mathematical theory of imperfect communication: Energy efficiency considerations in multi-level coding. - Junqing Zhang, Alan Marshall, Lajos Hanzo:
Channel-Envelope Differencing Eliminates Secret Key Correlation: LoRa-Based Key Generation in Low Power Wide Area Networks. - Osama M. Bushnaq, Abdulkadir Celik, Hesham ElSawy, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Aeronautical Data Aggregation and Field Estimation in IoT Networks: Hovering & Traveling Time Dilemma of UAVs. - Oscar Tellez
{É}tude pour l'analyse et l'optimisation du transport des personnes en situation de handicap. - Eric Fabre, G. Michele Pinna
Toward a Uniform Approach to the Unfolding of Nets. 21-36 - Mostafa Zaman Chowdhury, Muhammad Shahin Uddin, Yeong Min Jang:
Dynamic Channel Allocation for QoS Provisioning in Visible Light Communication. - Radomír Halas, Radko Mesiar, Jozef Pócs:
Description of sup- and inf-preserving aggregation functions via families of clusters in data tables. - Bolun Zheng, Yaowu Chen, Xiang Tian, Fan Zhou, Xuesong Liu:
Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction. - Markus Harju, Teemu Leppänen, Ilkka Virtanen:
Interaction and Student Dropout in Massive Open Online Courses. - Sepanta Zeighami, Raymond Chi-Wing Wong:
Finding Average Regret Ratio Minimizing Set in Database. - Gustavo Terra Bastos, Reginaldo Palazzo Júnior, Marinês Guerreiro:
Abelian Noncyclic Orbit Codes and Multishot Subspace Codes. - Marco Gaboardi, Ryan Rogers, Or Sheffet:
Locally Private Mean Estimation: Z-test and Tight Confidence Intervals. - Adam Rule, Amanda Birmingham, Cristal Zuñiga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, Peter W. Rose
Ten Simple Rules for Reproducible Research in Jupyter Notebooks. - Nikolas Klug, Alok Chauhan, Ramesh Ragala, V. Vijayakumar:
k-RNN: Extending NN-heuristics for the TSP. - Dan Moldovan, James M. Decker, Fei Wang, Andrew A. Johnson, Brian K. Lee, Zachary Nado, D. Sculley, Tiark Rompf, Alexander B. Wiltschko:
AutoGraph: Imperative-style Coding with Graph-based Performance. - Diego Calvanese, Marco Montali, Fabio Patrizi, Andrey Rivkin:
Modelling and Enactment of Data-aware Processes. - Yingdi Wang, Wenjia Niu, Tong Chen, Yingxiao Xiang, Jingjing Liu, Gang Li, Jiqiang Liu:
A Training-based Identification Approach to VIN Adversarial Examples. - Robert E. Kent:
The Institutional Approach. - Leonid Berov, Kai Standvoss:
Discourse Embellishment Using a Deep Encoder-Decoder Network. - Nathan Axvig:
Using Pseudocodewords to Transmit Information. - Mike Thelwall, Emma Stuart:
She's Reddit: A source of statistically significant gendered interest information? - Vivek Kumar Bagaria, Sreeram Kannan, David Tse, Giulia Fanti, Pramod Viswanath:
Deconstructing the Blockchain to Approach Physical Limits. - Liang-Ting Chen, Markus Roggenbach, John V. Tucker:
An algebraic theory for data linkage. - Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Stochastic Distance Transform. - Lijun Wang, Xiaohui Shen, Jianming Zhang, Oliver Wang, Zhe Lin, Chih-Yao Hsieh, Sarah Kong, Huchuan Lu:
DeepLens: Shallow Depth Of Field From A Single Image. - Thomas Pierrot, Nicolas Perrin, Olivier Sigaud:
First-order and second-order variants of the gradient descent: a unified framework. - Peng Sun, Guang Chen, Luke M. Guerdan, Yi Shang:
Salience Biased Loss for Object Detection in Aerial Images. - Spyros Angelopoulos, Christoph Dürr, Shendan Jin:
Best-of-two-worlds analysis of online search. - Nils Dorsch, Fabian Kurtz, Christian Wietfeld:
Enabling Hard Service Guarantees in Software-Defined Smart Grid Infrastructures. - Minseok Cho, Reinald Kim Amplayo, Seung-won Hwang, Jonghyuck Park:
Adversarial TableQA: Attention Supervision for Question Answering on Tables. - Lina Al-Kanj, Juliana M. Nascimento, Warren B. Powell:
Approximate Dynamic Programming for Planning a Ride-Sharing System using Autonomous Fleets of Electric Vehicles. - Ruffin White, Gianluca Caiazza, Henrik I. Christensen, Agostino Cortesi:
Procedurally Provisioned Access Control for Robotic Systems. - Peiye Liu, Wu Liu, Huadong Ma, Tao Mei, Mingoo Seok:
KTAN: Knowledge Transfer Adversarial Network. - Xiangming Meng, Jiang Zhu:
Bilinear Adaptive Generalized Vector Approximate Message Passing. - Morten Dahl, Jason Mancuso, Yann Dupis, Ben Decoste, Morgan Giraud, Ian Livingstone, Justin Patriquin, Gavin Uhma:
Private Machine Learning in TensorFlow using Secure Computation. - Chandra Khatri, Rahul Goel, Behnam Hedayatnia, Angeliki Metanillou, Anushree Venkatesh, Raefer Gabriel, Arindam Mandal:
Contextual Topic Modeling For Dialog Systems. - Zhongliang Yang, Nan Wei, Junyi Sheng, Yongfeng Huang, Yu-Jin Zhang:
TS-CNN: Text Steganalysis from Semantic Space Based on Convolutional Neural Network. - Rob Weston, Sarah Huiyi Cen, Paul Newman, Ingmar Posner:
Probably Unknown: Deep Inverse Sensor Modelling In Radar. - Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein:
Planning in Stochastic Environments with Goal Uncertainty. - Anelia Somekh-Baruch:
Ratio List Decoding. - Steven Hansen, Pablo Sprechmann, Alexander Pritzel, André Barreto, Charles Blundell:
Fast deep reinforcement learning using online adjustments from the past. - Minae Kwon, Sandy H. Huang, Anca D. Dragan:
Expressing Robot Incapability. - Daniel Rodríguez-Chavarría, Miguel Angel Gutiérrez-Naranjo, Joaquín Borrego-Díaz:
Logic Negation with Spiking Neural P Systems. - Maria-Florina Balcan, Yi Li, David P. Woodruff, Hongyang Zhang:
Testing Matrix Rank, Optimally. - Sandy H. Huang, Kush Bhatia, Pieter Abbeel, Anca D. Dragan:
Establishing Appropriate Trust via Critical States. - Amir Erfan Eshratifar, David Eigen, Massoud Pedram:
Gradient Agreement as an Optimization Objective for Meta-Learning. - Abdelrahman M. Ibrahim, Ahmed A. Zewail, Aylin Yener:
Coded Caching for Heterogeneous Systems: An Optimization Perspective. - Massimiliano Dal Mas:
Web Application for Collaborative Semantic Web Information Architecture. - Cheng-Kang Hsieh, Miguel Campo, Abhinav Taliyan, Matt Nickens, Mitkumar Pandya, J. J. Espinoza:
Convolutional Collaborative Filter Network for Video Based Recommendation Systems. - Nils Thuerey, Konstantin Weissenow, Harshit Mehrotra, Nischal Mainali, Lukas Prantl, Xiangyu Hu:
Well, how accurate is it? A Study of Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations. - Luciano Arnaldo Romero Calla, Lizeth J. Fuentes Perez, Anselmo Antunes Montenegro:
A minimalistic approach for fast computation of geodesic distances on triangular meshes. - Muhammad Asiful Islam, Ramakrishnan Srikant, Sugato Basu:
Micro-Browsing Models for Search Snippets. - Qiaoying Huang, Dong Yang, Pengxiang Wu, Hui Qu, Jingru Yi, Dimitris N. Metaxas:
MRI Reconstruction via Cascaded Channel-wise Attention Network. - Robert E. Kent:
Semantic Integration in the Information Flow Framework. - Nikola I. Nikolov, Richard H. R. Hahnloser:
Large-scale Hierarchical Alignment for Author Style Transfer. - Maria Kyropoulou, Josue Ortega, Erel Segal-Halevi:
Fair Cake-Cutting in Practice. - Ryan Goodfellow, Lincoln Thurlow, Srivatsan Ravi:
Merge: An Architecture for Interconnected Testbed Ecosystems. - Lizeth J. Fuentes Perez, Luciano Arnaldo Romero Calla, Anselmo Antunes Montenegro, Claudio Mura, Renato Pajarola:
A Robust Feature-aware Sparse Mesh Representation. - Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio:
BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop. - Rafael T. Araújo, Sulamita Klein, Rudini Menezes Sampaio, Uéverton S. Souza:
FPT algorithms to recognize well covered graphs. - Octavian Suciu, Scott E. Coull, Jeffrey Johns:
Exploring Adversarial Examples in Malware Detection. - Yaser Ghaedsharaf, Milad Siami, Christoforos Somarakis, Nader Motee:
Performance Improvement in Noisy Linear Consensus Networks with Time-Delay. - Rahul Gopinath, Björn Mathis, Matthias Höschele, Alexander Kampmann, Andreas Zeller:
Sample-Free Learning of Input Grammars for Comprehensive Software Fuzzing. - Paisan Raumviboonsuk, Jonathan Krause, Peranut Chotcomwongse, Rory Sayres, Rajiv Raman, Kasumi Widner, Bilson J. L. Campana, Sonia Phene, Kornwipa Hemarat, Mongkol Tadarati, Sukhum Silpa-Archa, Jirawut Limwattanayingyong, Chetan Rao, Oscar Kuruvilla, Jesse Jung, Jeffrey Tan, Surapong Orprayoon, Chawawat Kangwanwongpaisan, Ramase Sukulmalpaiboon, Chainarong Luengchaichawang, Jitumporn Fuangkaew, Pipat Kongsap, Lamyong Chualinpha, Sarawuth Saree, Srirat Kawinpanitan, Korntip Mitvongsa, Siriporn Lawanasakol, Chaiyasit Thepchatri, Lalita Wongpichedchai, Gregory S. Corrado, Lily Peng, Dale R. Webster:
Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program. - Dogancan Temel, Jinsol Lee, Ghassan AlRegib:
CURE-OR: Challenging Unreal and Real Environments for Object Recognition. - Jarrett Revels, Tim Besard, Valentin Churavy
Dynamic Automatic Differentiation of GPU Broadcast Kernels. - Corina S. Pasareanu, Divya Gopinath, Huafeng Yu:
Compositional Verification for Autonomous Systems with Deep Learning Components. - Milan Cvitkovic, Badal Singh, Anima Anandkumar:
Open Vocabulary Learning on Source Code with a Graph-Structured Cache. - Tomoki Matsuno, Katsuhiko Hayashi, Takahiro Ishihara, Hitoshi Manabe, Yuji Matsumoto:
Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices. - Ian J. Davis:
Unsupervised Anomalous Data Space Specification. - Mustafa Hajij, Paul Rosen:
An Efficient Data Retrieval Parallel Reeb Graph Algorithm. - Thomas Ketseoglou, Ender Ayanoglu:
Zero-Forcing Per-Group Precoding (ZF-PGP) for Robust Optimized Downlink Massive MIMO Performance. - Jianyu Wang, Gauri Joshi:
Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD. - Abdullah Nazib
A Comparative Analysis of Registration Tools: Traditional vs Deep Learning Approach on High Resolution Tissue Cleared Data. - Huixu Dong, Chen Qiu, Dilip K. Prasad, Ye Pan, Jiansheng Dai, I-Ming Chen:
Enabling Grasp Action: Generalized Evaluation of Grasp Stability via Contact Stiffness from Contact Mechanics Insight. - Chiu Man Ho, Dae Hoon Park, Wei Yang, Yi Chang:
Sequenced-Replacement Sampling for Deep Learning. - Saiprasad Ravishankar, Brendt Wohlberg:
Learning Multi-Layer Transform Models. - An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Domain-Invariant Projection Learning for Zero-Shot Recognition. - Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen:
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. - Zhiwu Lu, Jiechao Guan, Aoxue Li, Tao Xiang, An Zhao, Ji-Rong Wen:
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning. - Hengkai Guo, Tang Tang, Guozhong Luo, Riwei Chen, Yongchen Lu, Linfu Wen:
Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking. - Qin He, Dingquan Li, Tingting Jiang, Ming Jiang:
Quality Assessment for Tone-Mapped HDR Images Using Multi-Scale and Multi-Layer Information. - Hyeonjoong Cho, Arvind Easwaran:
Flow Network Models for Online Scheduling Real-time Tasks on Multiprocessors. - Russell Tsuchida, Fred (Farbod) Roosta, Marcus Gallagher:
Exchangeability and Kernel Invariance in Trained MLPs. - Han Liu, Dan Zeng, Qi Tian:
Super-pixel cloud detection using Hierarchical Fusion CNN. - Zhongyi Hu, Raymond Chiong, Ilung Pranata, Yukun Bao, Yuqing Lin:
Malicious Web Domain Identification using Online Credibility and Performance Data by Considering the Class Imbalance Issue. - Jun Tong, Rui Hu, Jiangtao Xi, Zhitao Xiao, Qinghua Guo, Yanguang Yu:
Linear Shrinkage Estimation of Covariance Matrices Using Low-Complexity Cross-Validation. - Adi Hayat, Mark Kliger, Shachar Fleishman, Daniel Cohen-Or:
Generative Low-Shot Network Expansion. - Wen Wang, Yongjian Wu, Haijun Liu, Shiguang Wang, Jian Cheng:
Temporal Action Detection by Joint Identification-Verification. - Fengdong Sun, Wenhui Li:
Saliency guided deep network for weakly-supervised image segmentation. - Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang:
Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators. - Mario Carneiro:
Formalizing computability theory via partial recursive functions. - Vahid Ranjbar, Mostafa Salehi, Pegah Jandaghi, Mahdi Jalili:
QANet: Tensor Decomposition Approach for Query-based Anomaly Detection in Heterogeneous Information Networks. - Matthew Kahle, Minghao Tian, Yusu Wang:
Local cliques in ER-perturbed random geometric graphs. - Grzegorz Ficht, Sven Behnke:
Online Balanced Motion Generation for Humanoid Robots. - Matiss Rikters:
Impact of Corpora Quality on Neural Machine Translation. - Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Esa Rahtu, Juho Kannala:
DGC-Net: Dense Geometric Correspondence Network. - Grzegorz Ficht, Hafez Farazi, André Brandenburger, Diego Rodriguez, Dmytro Pavlichenko, Philipp Allgeuer, Mojtaba Hosseini, Sven Behnke:
NimbRo-OP2X: Adult-sized Open-source 3D Printed Humanoid Robot. - Mingbo Ma, Liang Huang, Hao Xiong, Kaibo Liu, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Haifeng Wang:
STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency. - Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai:
Towards Efficient Large-Scale Graph Neural Network Computing. - Chrysanthi Kosyfaki, Nikos Mamoulis, Evaggelia Pitoura, Panayiotis Tsaparas:
Flow Motifs in Interaction Networks. - Sahin Isik, Kemal Özkan, Ömer Nezih Gerek:
CVABS: Moving Object Segmentation with Common Vector Approach for Videos. - Haris Angelidakis, Pranjal Awasthi, Avrim Blum, Vaggos Chatziafratis, Chen Dan:
Bilu-Linial stability, certified algorithms and the Independent Set problem. - Ibbad Hafeez, Markku Antikainen, Aaron Yi Ding, Sasu Tarkoma:
IoT-KEEPER: Securing IoT Communications in Edge Networks. - Pierre Reibel, Haaroon Yousaf, Sarah Meiklejohn:
Why is a Ravencoin Like a TokenDesk? An Exploration of Code Diversity in the Cryptocurrency Landscape. - Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei:
ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch. - Simon Ekström, Filip Malmberg, Håkan Ahlström, Joel Kullberg, Robin Strand:
Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume Images. - Damien Pellier, Humbert Fiorino:
Assumption-Based Planning. - Zhanming Jie, Aldrian Obaja Muis
Efficient Dependency-Guided Named Entity Recognition. - Nuno C. Garcia, Pietro Morerio, Vittorio Murino:
Learning with privileged information via adversarial discriminative modality distillation. - Damien Pellier, Humbert Fiorino:
Coordinated exploration for labyrinthine environments with application to the Pursuit-Evasion problem. - Zhili Chen, Sheng Chen, Hong Zhong, Lin Chen, Miaomiao Tian:
PP-MCSA: Privacy Preserving Multi-Channel Double Spectrum Auction. - Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
High Resolution Semantic Change Detection. - Damien Pellier, Ilias Belaidi:
Planification par fusions incrémentales de graphes. - Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch:
Fully Convolutional Siamese Networks for Change Detection. - Atrayee Deb, Saloni Dalal, Manik Lal Das:
DigiLock: User-controlled and Server-aware Digital Locker System. - Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks. - Sinan Gezici, Pramod K. Varshney:
On the optimality of likelihood ratio test for prospect theory based binary hypothesis testing. - Vincent A. Traag, Ludo Waltman, Nees Jan van Eck:
From Louvain to Leiden: guaranteeing well-connected communities. - Jiafeng Xie, Bing Shuai, Jianfang Hu, Jingyang Lin, Wei-Shi Zheng:
Improving Fast Segmentation With Teacher-student Learning. - Roland Molontay, Kitti Varga:
On the complexity of color-avoiding site and bond percolation. - Ying Siu Liang, Damien Pellier, Humbert Fiorino, Sylvie Pesty:
A Framework for Robot Programming in Cobotic Environments: First user experiments. - Marcell Nagy, Roland Molontay:
Data-driven Analysis of Complex Networks and their Model-generated Counterparts. - Pingkun Yan, Hengtao Guo, Ge Wang
Hybrid deep neural networks for all-cause Mortality Prediction from LDCT Images. - Shun Zhang, Laixiang Liu, Zhili Chen, Hong Zhong:
Probabilistic Matrix Factorization with Personalized Differential Privacy. - Matthias Grezet, Ragnar Freij-Hollanti, Thomas Westerbäck, Camilla Hollanti:
Alphabet-Dependent Bounds for Linear Locally Repairable Codes Based on Residual Codes. - Zhiwen Hu, Zixuan Bai, Kaigui Bian, Tao Wang, Lingyang Song:
Real-Time Fine-Grained Air Quality Sensing Networks in Smart City: Design, Implementation and Optimization. - Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl:
Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic. - Matias Martinez, Martin Monperrus:
Coming: a Tool for Mining Change Pattern Instances from Git Commits. - Wei Tang, Teng Li, Fudong Nian, Meng Wang:
MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation. - Ansh Patel:
Fairness for Whom? Critically reframing fairness with Nash Welfare Product. - Arnaud Cadas, Ana Busic, Josu Doncel:
Optimal Control of Dynamic Bipartite Matching Models. - Udit Agarwal, Vijaya Ramachandran:
New and Simplified Distributed Algorithms for Weighted All Pairs Shortest Paths. - Ravi G. Patel, Olivier Desjardins:
Nonlinear integro-differential operator regression with neural networks. - Brian H. Wang, Yan Wang, Kilian Q. Weinberger, Mark Campbell:
Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking. - Aldrian Obaja Muis
Weak Semi-Markov CRFs for NP Chunking in Informal Text. - Shantanu Shahane, Narayana R. Aluru, Placid M. Ferreira, Shiv G. Kapoor, Surya Pratap Vanka:
Finite Volume Simulation Framework for Die Casting with Uncertainty Quantification. - Yulong Zou, Ming Sun, Jia Zhu, Haiyan Guo:
Security-Reliability Tradeoff for Distributed Antenna Systems in Heterogeneous Cellular Networks. - Paul F. Christiano, Buck Shlegeris, Dario Amodei:
Supervising strong learners by amplifying weak experts. - Adam N. Hornsby, Thomas Evans, Peter S. Riefer, Rosie Prior, Bradley C. Love:
Conceptual Organization is Revealed by Consumer Activity Patterns. - Luke B. Godfrey, Michael S. Gashler:
Leveraging Product as an Activation Function in Deep Networks. - Aldrian Obaja Muis
Learning to Recognize Discontiguous Entities. - Brady Neal, Sarthak Mittal, Aristide Baratin, Vinayak Tantia, Matthew Scicluna, Simon Lacoste-Julien, Ioannis Mitliagkas:
A Modern Take on the Bias-Variance Tradeoff in Neural Networks. - Philipp Sadler:
Detecting cities in aerial night-time images by learning structural invariants using single reference augmentation. - Md. Sadek Ferdous, Mohammad Jabed Morshed Chowdhury, Kamanashis Biswas, Niaz Chowdhury:
Immutable Autobiography of Smart Cars. - Michael Gasser:
Mainumby: un Ayudante para la Traducción Castellano-Guaraní. - Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley:
An Exploration of Dropout with RNNs for Natural Language Inference. - Mohendra Roy, Sumon Kumar Bose, Bapi Kar, Pradeep Kumar Gopalakrishnan, Arindam Basu:
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring. - Léopold Crestel, Philippe Esling, Lena Heng, Stephen McAdams:
A database linking piano and orchestral MIDI scores with application to automatic projective orchestration. - D. Babin, I. L. Mazurenko, D. V. Parkhomenko, A. Voloshko:
CNN inference acceleration using dictionary of centroids. - Ali Marjaninejad, Darío Urbina-Meléndez, Brian A. Cohn, Francisco J. Valero Cuevas:
Autonomous Functional Locomotion in a Tendon-Driven Limb via Limited Experience. - Pedro D. Marrero-Fernández, Fidel A. Guerrero-Peña, Tsang Ing Ren, Jorge J. G. Leandro:
Fast and Robust Multiple ColorChecker Detection using Deep Convolutional Neural Networks. - Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurélie C. Lozano, Cho-Jui Hsieh, Luca Daniel:
On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm. - Elizabeth Salesky, Andrew Runge
Optimizing Segmentation Granularity for Neural Machine Translation. - Sumit Bam Shrestha, Garrick Orchard:
SLAYER: Spike Layer Error Reassignment in Time. - Natasha Jaques
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL. - George Kyriakides, Konstantinos G. Margaritis:
Towards automated neural design: An open source, distributed neural architecture research framework. - Marta Baginska, Piotr E. Srokosz:
The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations Trained on Scarce Data. - Tao Yang, Yadong Wei, Zhijun Tu, Haolun Zeng, Michel A. Kinsy, Nanning Zheng, Pengju Ren:
Design Space Exploration of Neural Network Activation Function Circuits. - Jessica A. F. Thompson, Yoshua Bengio, Elia Formisano, Marc Schönwiesner:
How can deep learning advance computational modeling of sensory information processing? - Yanjun Zhang, Tie Li, Guangyu Na, Guoqing Li, Yang Li:
Optimized Extreme Learning Machine for Power System Transient Stability Prediction Using Synchrophasors. - Yonghua Yin:
Deep Learning with the Random Neural Network and its Applications. - Julien Bensmail, Soumen Nandi, Sagnik Sen:
Erratum for "On oriented cliques with respect to push operation". - Alain Franc, Pierre Blanchard, Olivier Coulaud:
Nonlinear Mapping and Distance Geometry. - Lindah Kotut, Michael A. Horning, Derek Haqq, Shuo Niu, Timothy Stelter, D. Scott McCrickard:
Tensions on Trails: Understanding Differences between Group and Community Needs in Outdoor Settings. - Anastasiya Chistopolskaya, Vladimir V. Podolskii:
Parity Decision Tree Complexity is Greater Than Granularity. - Giovanni Iacca, Ferrante Neri, Ernesto Mininno, Yew-Soon Ong, Meng-Hiot Lim:
Ockham's Razor in Memetic Computing: Three Stage Optimal Memetic Exploration. - Josh Alman, Virginia Vassilevska Williams:
Limits on All Known (and Some Unknown) Approaches to Matrix Multiplication. - Bartlomiej Blaszczyszyn, H. Paul Keeler:
Determinantal thinning of point processes with network learning applications. - A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner:
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. - Skyler Speakman, Srihari Sridharan, Sekou L. Remy, Komminist Weldemariam, Edward McFowland:
Subset Scanning Over Neural Network Activations. - Matthew A. Turner:
A neural network to classify metaphorical violence on cable news. - Zhenpeng Zhou, Steven Kearnes, Li Li, Richard N. Zare, Patrick Riley:
Optimization of Molecules via Deep Reinforcement Learning. - Tobin Bell, Benjamin Penchas:
Lightweight Convolutional Approaches to Reading Comprehension on SQuAD. - Kira V. Adaricheva, Taylor Ninesling:
Direct and Binary Direct Bases for One-set Updates of a Closure System. - Dawei Liang, Edison Thomaz:
AudioAR: Audio-Based Activity Recognition with Large-Scale Acoustic Embeddings from YouTube Videos. - Angelos Amanatiadis, Vasileios G. Kaburlasos, Elias B. Kosmatopoulos:
Understanding Deep Convolutional Networks through Gestalt Theory. - Tsolak Ghukasyan, Garnik Davtyan, Karen Avetisyan, Ivan Andrianov:
pioNER: Datasets and Baselines for Armenian Named Entity Recognition. - Björn Lütjens, Michael Everett, Jonathan P. How:
Safe Reinforcement Learning with Model Uncertainty Estimates. - Jonathan M. Palma, Leonardo de Paula Carvalho, Alim P. C. Gonçalves:
An Approach to Energy Efficiency in a Multi-Hop Network Control System through a Trade-Off between H-inf Norm and Global Number of Transmissions. - Bo Fu, Kumar Shaurya Shankar, Nathan Michael:
RaD-VIO: Rangefinder-aided Downward Visual-Inertial Odometry. - Magnus Wrenninge, Jonas Unger:
Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing. - Leonardo A. Fanzeres
Mobile Sound Recognition for the Deaf and Hard of Hearing. - Seva Shneer, Alexander L. Stolyar:
Stability conditions for a decentralised medium access algorithm: single- and multi-hop networks. - Eric Chu, Prashanth Vijayaraghavan, Deb Roy:
Learning Personas from Dialogue with Attentive Memory Networks. - Brian Gaudet, Richard Linares, Roberto Furfaro:
Deep Reinforcement Learning for Six Degree-of-Freedom Planetary Powered Descent and Landing. - Ewout van den Berg:
The Ocean Tensor Package. - Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng:
SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. - Hubert Lin, Melinos Averkiou, Evangelos Kalogerakis, Balazs Kovacs, Siddhant Ranade, Vladimir G. Kim, Siddhartha Chaudhuri, Kavita Bala
Learning Material-Aware Local Descriptors for 3D Shapes. - Eda Okur, Hakan Demir, Arzucan Özgür:
Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings. - Tara Salman, Maede Zolanvari, Aiman Erbad, Raj Jain, Mohammed Samaka:
Security Services Using Blockchains: A State of the Art Survey. - John Derrick
Proceedings 18th Refinement Workshop, Refine@FM 2018, Oxford, UK, 18th July 2018. EPTCS 282, 2018 [contents] - Xin Tang, Shanbo Chen, Loc Do, Zhiyu Min, Feng Ji, Heng Yu, Ji Zhang, Haiqin Chen:
Improving Multilingual Semantic Textual Similarity with Shared Sentence Encoder for Low-resource Languages. - Christopher Jung, Sampath Kannan, Neil Lutz:
Quantifying the Burden of Exploration and the Unfairness of Free Riding. - Mark Hamilton, Sudarshan Raghunathan, Ilya Matiach, Andrew Schonhoffer, Anand Raman, Eli Barzilay, Minsoo Thigpen, Karthik Rajendran, Janhavi Suresh Mahajan, Courtney Cochrane, Abhiram Eswaran, Ari Green:
MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales. - Arun Kumar, Karan Aggarwal, Paul R. Schrater:
Temporal Proximity induces Attributes Similarity. - Borzou Alipourfard, Jean X. Gao:
Renormalized Normalized Maximum Likelihood and Three-Part Code Criteria For Learning Gaussian Networks. - Wenjun Yan, Yuanyuan Wang, Zeju Li, Rob J. van der Geest, Qian Tao:
Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion. - Mingxi Wu:
Property Graph Type System and Data Definition Language. - Leila Rajabpour, Mokhtar Shasadeghi, Alireza Barzegar:
Design of robust H_inf fuzzy output feedback controller for affine nonlinear systems: Fuzzy Lyapunov function approach. - Mikolaj Bojanczyk:
Polyregular Functions. - Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin:
Attribute-aware Collaborative Filtering: Survey and Classification. - Wenbo Bao, Wei-Sheng Lai, Xiaoyun Zhang, Zhiyong Gao, Ming-Hsuan Yang:
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement. - Lu Qi, Shu Liu, Jianping Shi, Jiaya Jia:
Sequential Context Encoding for Duplicate Removal. - Yi Wang, Xin Tao, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia:
Image Inpainting via Generative Multi-column Convolutional Neural Networks. - Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas:
Improved Techniques for GAN based Facial Inpainting. - Abhishek, Amar Prakash Azad, Balaji Ganesan, Ashish Anand, Amit Awekar:
A Unified Labeling Approach by Pooling Diverse Datasets for Entity Typing. - Oleksii Konashevych, Marta Poblet:
Is Blockchain Hashing an Effective Method for Electronic Governance? - Piotr Skowron:
Proportionality Degree of Multiwinner Rules. - Mehdi Drissi, Olivia Watkins, Jugal Kalita:
Hierarchical Text Generation using an Outline. - Jinhyuk Yun, Sejung Ahn, June Young Lee:
On the Heterogeneous Distributions in Paper Citations. - Alexandra Chouldechova, Aaron Roth:
The Frontiers of Fairness in Machine Learning. - Yosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa, Michita Imai:
Autonomous Self-Explanation of Behavior for Interactive Reinforcement Learning Agents. - Yunlong Wang, Ahmed Fadhil, Jan-Philipp Lange, Harald Reiterer:
Integrating Taxonomies into Theory-Based Digital Health Interventions for Behavior Change: A Holistic Framework. - Alexander Tkachenko, Kairit Sirts:
Modeling Composite Labels for Neural Morphological Tagging. - Yanan Liu, Rui Fan, Bin Yu, Mohammud Junaid Bocus, Ming Liu, Hepeng Ni, Jiahe Fan, Shixin Mao:
Mobile Robot Localisation and Navigation Using LEGO NXT and Ultrasonic Sensor. - Durba Chatterjee, Aritra Hazra, Debdeep Mukhopadhyay:
Testability Analysis of PUFs Leveraging Correlation-Spectra in Boolean Functions. - Robert E. Kent:
Enriched Interpretation. - Haoyu Zhang, Qin Zhang:
MinJoin: Efficient Edit Similarity Joins via Local Hash Minimums. - Jacob Krantz
Abstractive Summarization Using Attentive Neural Techniques. - Frits Hof, Walter Kern, Sascha Kurz, Kanstantsin Pashkovich, Daniël Paulusma:
Simple Games versus Weighted Voting Games: Bounding the Critical Threshold Value. - Saad Nadeem, Joseph Marino, Xianfeng Gu, Arie E. Kaufman:
Corresponding Supine and Prone Colon Visualization Using Eigenfunction Analysis and Fold Modeling. - Jing Li, Rafal K. Mantiuk, Junle Wang, Suiyi Ling, Patrick Le Callet:
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation. - Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer:
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. - Ryan S. Overbeck, Daniel Erickson, Daniel Evangelakos, Matt Pharr, Paul E. Debevec:
A System for Acquiring, Processing, and Rendering Panoramic Light Field Stills for Virtual Reality. - Yixue Zhao, Paul Wat, Marcelo Schmitt Laser, Nenad Medvidovic:
Empirically Assessing Opportunities for Prefetching and Caching in Mobile Apps. - Yixue Zhao, Marcelo Schmitt Laser, Yingjun Lyu, Nenad Medvidovic:
Leveraging Program Analysis to Reduce User-Perceived Latency in Mobile Applications. - Shayan Oveis Gharan, Alireza Rezaei:
A Polynomial Time MCMC Method for Sampling from Continuous DPPs. - Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems. - Kun Wang:
Joint Receiver Design for Internet of Things. - Heitor Judiss Savino, Luciano C. A. Pimenta, Julie A. Shah, Bruno Vilhena Adorno:
Pose consensus based on dual quaternion algebra with application to decentralized formation control of mobile manipulators. - Yaqiao Li:
Conflict complexity is lower bounded by block sensitivity. - Philip A. Warrick, Masun Nabhan Homsi:
Sleep Arousal Detection from Polysomnography using the Scattering Transform and Recurrent Neural Networks. - Youshan Zhang, Qi Li:
A Regressive Convolution Neural network and Support Vector Regression Model for Electricity Consumption Forecasting. - Youshan Zhang, Jon-Patrick Allem, Jennifer B. Unger, Tess Boley Cruz:
Automated identification of hookahs (waterpipes) on Instagram: an application in feature extraction using Convolutional Neural Network and Support Vector Machine classification. - Yikun Ban, Jiao Sun, Xin Liu:
Catching Loosely Synchronized Behavior in Face of Camouflage. - Youshan Zhang, Liangdong Guo, Qi Li, Junhui Li:
Electricity consumption forecasting method based on MPSO-BP neural network model. - Qing Qin, Jie Ren, Jialong Yu, Ling Gao, Hai Wang, Jie Zheng, Yansong Feng, Jianbin Fang, Zheng Wang:
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference. - Bicheng Ying, Kun Yuan, Ali H. Sayed:
Dynamic Average Diffusion with randomized Coordinate Updates. - José Ramón Cano, Julián Luengo, Salvador García:
Label Noise Filtering Techniques to Improve Monotonic Classification. - Maximilian Stark, Jan Lewandowsky, Souradip Saha, Gerhard Bauch:
Decoding of Non-Binary LDPC Codes Using the Information Bottleneck Method. - Ehsan Hoseinzade, Saman Haratizadeh:
CNNPred: CNN-based stock market prediction using several data sources. - Luis Haug, Sebastian Tschiatschek, Adish Singla:
Teaching Inverse Reinforcement Learners via Features and Demonstrations. - Ana Ionesi, Mohammad Hossein Ramezani, Jérôme Jouffroy:
On-line parameter and state estimation of an air handling unit model: experimental results using the modulating function method. - Gonca Gürsun:
Routing-Aware Partitioning of the Internet Address Space for Server Ranking in CDNs. - Hyeryung Jang, Osvaldo Simeone:
Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing. - Razan Tajeddine, Antonia Wachter-Zeh, Camilla Hollanti:
Private Information Retrieval over Networks. - Saman Sadeghyan, Shahrokh Asadi:
MS-BACO: A new Model Selection algorithm using Binary Ant Colony Optimization for neural complexity and error reduction. - Ruixuan Yu, Jian Sun, Huibin Li:
Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis. - Ta-Chung Chi, Ching-Yen Shih, Yun-Nung Chen:
BCWS: Bilingual Contextual Word Similarity. - Jiawen Liu, Dong Li, Gokcen Kestor, Jeffrey S. Vetter:
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training. - Pedro Hecht:
PQC: Triple Decomposition Problem Applied To GL(d, Fp) - A Secure Framework For Canonical Non-Commutative Cryptography. - Sanchita Basak, Saptarshi Sengupta, Abhishek Dubey:
A Data-driven Prognostic Architecture for Online Monitoring of Hard Disks Using Deep LSTM Networks. - Nora Connor, Aaron Clauset:
Predicting the outcomes of policy diffusion from U.S. states to federal law. - Carlos Gómez-Rodríguez, David Vilares:
Constituent Parsing as Sequence Labeling. - David Vilares, Carlos Gómez-Rodríguez:
Transition-based Parsing with Lighter Feed-Forward Networks. - Saad Nadeem, Arie E. Kaufman:
Visualization Framework for Colonoscopy Videos. - Roya Firoozi, Shima Nazari, Jacopo Guanetti, Ryan O'Gorman, Francesco Borrelli:
Safe Adaptive Cruise Control with Road Grade Preview and V2V Communication. - Kun Wang:
Robust Receiver Design for Non-orthogonal Multiple Access. - Carlos Cardonha, Lucas Correia Villa Real:
Theoretical and Practical Aspects of the Linear Tape Scheduling Problem. - Sanket Vaibhav Mehta, Shagun Sodhani, Dhaval Patel:
Spatial Co-location Pattern Mining - A new perspective using Graph Database. - Mohammed Benjelloun, El Wardani Dadi, El Mostafa Daoudi:
3D shape retrieval basing on representatives of classes. - Ji Hwan Park, Saad Nadeem, Seyedkoosha Mirhosseini, Arie E. Kaufman:
C2A: Crowd Consensus Analytics for Virtual Colonoscopy. - Ismaël Koné, Lahsen Boulmane:
Hierarchical ResNeXt Models for Breast Cancer Histology Image Classification. - Sriram Srinivasan, Marc Lanctot, Vinícius Flores Zambaldi, Julien Pérolat, Karl Tuyls, Rémi Munos, Michael Bowling:
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments. - Michael Dinitz, Yasamin Nazari:
Distributed Approximate Distance Oracles. - Michael Schaarschmidt, Sven Mika, Kai Fricke, Eiko Yoneki:
RLgraph: Flexible Computation Graphs for Deep Reinforcement Learning. - Siwei Fu, Anbang Xu, Xiaotong Liu, Huimin Zhou, Rama Akkiraju:
Challenge AI Mind: A Crowd System for Proactive AI Testing. - Saad Nadeem, Zhengyu Su, Wei Zeng, Arie E. Kaufman, Xianfeng Gu:
Spherical Parameterization Balancing Angle and Area Distortions. - Robert E. Kent:
Soft Concept Analysis. - Nikhil Galagali, Minnan Xu-Wilson:
Patient Subtyping with Disease Progression and Irregular Observation Trajectories. - Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson:
VIENA2: A Driving Anticipation Dataset. - Yun Wang, Juncheng Li, Florian Metze:
A Comparison of Five Multiple Instance Learning Pooling Functions for Sound Event Detection with Weak Labeling. - Yun Wang, Florian Metze:
Connectionist Temporal Localization for Sound Event Detection with Sequential Labeling. - Xavier Dahan:
Computation of gcd chain over the power of an irreducible polynomial. - Meng Huang, Ming-Jun Lai, Abraham Varghese, Zhiqiang Xu:
On DC based Methods for Phase Retrieval. - Christopher Kane, Bo Lin, Saksham Chand, Yanhong A. Liu:
High-level Cryptographic Abstractions. - Zhihao Du, Xueliang Zhang, Jiqing Han:
Investigation of Monaural Front-End Processing for Robust ASR without Retraining or Joint-Training. - Salvador Medina, Zhuyun Dai, Yingkai Gao:
Where is this? Video geolocation based on neural network features. - Shigeaki Kuzuoka:
On the Conditional Smooth Renyi Entropy and its Applications in Guessing and Source Coding. - Kar-Ann Toh:
Learning from the Kernel and the Range Space. - Aldrian Obaja Muis
Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators. - Fuping Wu, Lei Li, Guang Yang, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Lingchao Xu, Xiahai Zhuang:
Atrial fibrosis quantification based on maximum likelihood estimator of multivariate images. - Lejla Batina, Shivam Bhasin, Dirmanto Jap, Stjepan Picek:
CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information. - Siddhardha Balemarthy, Atul Sajjanhar, James Xi Zheng:
Our Practice Of Using Machine Learning To Recognize Species By Voice. - Tianyi Lin, Zhiyue Hu, Xin Guo:
Sparsemax and Relaxed Wasserstein for Topic Sparsity. - Hin Wai Lui:
A general learning system based on neuron bursting and tonic firing. - Xiaolin Zhang, Yunchao Wei, Yi Yang, Thomas S. Huang:
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation. - Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana:
Interpretability is Harder in the Multiclass Setting: Axiomatic Interpretability for Multiclass Additive Models. - Nitin Bansal, Xiaohan Chen, Zhangyang Wang:
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs? - Sungsu Lim, Ajin Joseph, Lei Le, Yangchen Pan, Martha White:
Actor-Expert: A Framework for using Action-Value Methods in Continuous Action Spaces. - Xiao Yan, Xinyan Dai, Jie Liu, Kaiwen Zhou, James Cheng:
Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS). - Olivier Cardin, William Derigent, Damien Trentesaux:
Evolution of holonic control architectures towards Industry 4.0: A short overview. - Enqiang Guo, Xinsha Fu, Jiawei Zhu, Min Deng, Yu Liu, Qing Zhu, Haifeng Li:
Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection. - Frank Nielsen, Richard Nock:
The Bregman chord divergence. - Lei Li, Fuping Wu, Guang Yang, Tom Wong, Raad Mohiaddin, David N. Firmin, Jenny Keegan, Lingchao Xu, Xiahai Zhuang:
Atrial scars segmentation via potential learning in the graph-cuts framework. - Prashanth L. A., Michael C. Fu:
Risk-Sensitive Reinforcement Learning: A Constrained Optimization Viewpoint. - Sivaranjani S., Etika Agarwal, Le Xie, Vijay Gupta, Panos J. Antsaklis:
Distributed Mixed Voltage Angle and Frequency Droop Control of Microgrid Interconnections with Loss of Distribution-PMU Measurements. - Maxime Piraux, Quentin De Coninck, Olivier Bonaventure:
Observing the Evolution of QUIC Implementations. - Mikhail N. Rybakov
Complexity and Expressivity of Branching- and Alternating-Time Temporal Logics with Finitely Many Variables. - Sandra Castellanos-Paez, Damien Pellier, Humbert Fiorino, Sylvie Pesty:
Mining useful Macro-actions in Planning. - Natsuki Urabe, Ichiro Hasuo:
Quantitative Matrix Simulation. - Abhisek Dash, Anurag Shandilya, Arindam Biswas, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
Beyond ROUGE Scores in Algorithmic Summarization: Creating Fairness-Preserving Textual Summaries. - Damien Pellier, Bruno Bouzy, Marc Métivier:
Mean-based Heuristic Search for Real-Time Planning. - Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai:
PriSTE: From Location Privacy to Spatiotemporal Event Privacy. - Ruizhe Li
A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification. - Nathan de Lara, Edouard Pineau:
A Simple Baseline Algorithm for Graph Classification. - Florian Brachten, Milad Mirbabaie, Stefan Stieglitz, Olivia Berger, Sarah Bludau, Kristina Schrickel:
Threat or Opportunity? - Examining Social Bots in Social Media Crisis Communication. - Antoine Vastel, Peter Snyder, Benjamin Livshits:
Who Filters the Filters: Understanding the Growth, Usefulness and Efficiency of Crowdsourced Ad Blocking. - Yan Zhang, Li Sun:
Exploring Correlations in Multiple Facial Attributes through Graph Attention Network. - Alberto Cetoli, Mohammad Akbari, Stefano Bragaglia, Andrew D. O'Harney, Marc Sloan:
Named Entity Disambiguation using Deep Learning on Graphs. - Evgeniy M. Ozhegov, Daria Teterina:
Ensemble Method for Censored Demand Prediction. - Qingquan Li, Qin Zou, De Ma, Qian Wang, Song Wang:
Dating Ancient Paintings of Mogao Grottoes Using Deeply Learnt Visual Codes. - Fabian Neuhaus:
What is an Ontology? - Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand:
Node Representation Learning for Directed Graphs. - Hao Ren, Hong Lu:
Compositional coding capsule network with k-means routing for text classification. - Kang Tan:
Study of Human Push Recovery. - Arsalan Sharif-Nassab, John N. Tsitsiklis, S. Jamaloddin Golestani:
Fluctuation Bounds for the Max-Weight Policy, with Applications to State Space Collapse. - Marc Aubreville, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier:
Field Of Interest Proposal for Augmented Mitotic Cell Count: Comparison of two Convolutional Networks. - Jiechuan Jiang, Chen Dun, Zongqing Lu:
Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation. - Thomas Sermpinis, Christos Sermpinis:
Traceability Decentralization in Supply Chain Management Using Blockchain Technologies. - Heechang Ryu, Hayong Shin, Jinkyoo Park:
Multi-Agent Actor-Critic with Generative Cooperative Policy Network. - Andreas Venzke, Lejla Halilbasic, Adelie Barre, Line Roald, Spyros Chatzivasileiadis:
Chance-Constrained AC Optimal Power Flow Integrating HVDC Lines and Controllability. - Xiao Zhang, David Evans:
Cost-Sensitive Robustness against Adversarial Examples. - Brandon M. Malone, Alberto García-Durán, Mathias Niepert:
Knowledge Graph Completion to Predict Polypharmacy Side Effects. - Gili Rusak, Abdullah Al-Dujaili, Una-May O'Reilly:
AST-Based Deep Learning for Detecting Malicious PowerShell. - Ahmad Biniaz, Sergio Cabello, Anil Maheshwari, Paz Carmi, Saeed Mehrabi, Jean-Lou De Carufel, Michiel H. M. Smid:
On the Minimum Consistent Subset Problem. - Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu:
Scalable NoC-based Neuromorphic Hardware Learning and Inference. - Ankuj Arora, Humbert Fiorino, Damien Pellier, Sylvie Pesty:
A Review on Learning Planning Action Models for Socio-Communicative HRI. - Shyam Narayanan, Jelani Nelson:
Optimal terminal dimensionality reduction in Euclidean space. - Yaming Wang, Xiao Tan, Yi Yang, Ziyu Li, Xiao Liu, Feng Zhou, Larry S. Davis:
Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories. - Rui Zhu, Di Niu:
A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems. - Mirja Kühlewind, Brian Trammell, Tobias Bühler, Gorry Fairhurst, Vijay K. Gurbani:
Challenges in Network Management of Encrypted Traffic. - Dan Stowell, Tereza Petrusková, Martin Sálek, Pavel Linhart:
Automatic acoustic identification of individual animals: Improving generalisation across species and recording conditions. - Randall Balestriero, Richard G. Baraniuk:
From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference. - Raffaello Carosi, Simone Fioravanti, Luciano Gualà, Gianpiero Monaco:
Coalition Resilient Outcomes in Max k-Cut Games. - Tiago de Souza Farias, Jonas Maziero:
Gradient target propagation. - Thomas Place, Marc Zeitoun:
The complexity of separation for levels in concatenation hierarchies. - Michael Taynnan Barros, Walisson Silva, Carlos Danilo Miranda Regis:
The Multi-Scale Impact of the Alzheimer's Disease in the Topology Diversity of Astrocytes Molecular Communications Nanonetworks. - Srinivasan Keshav, Wojciech M. Golab, Bernard Wong, Sajjad Rizvi, Sergey Gorbunov:
RCanopus: Making Canopus Resilient to Failures and Byzantine Faults. - Qingyu Chen, Yifan Peng, Zhiyong Lu:
BioSentVec: creating sentence embeddings for biomedical texts. - Stathis Delivorias, Michel Leclère, Marie-Laure Mugnier, Federico Ulliana:
On the k-Boundedness for Existential Rules. - Mahnaz Koupaee, William Yang Wang:
WikiHow: A Large Scale Text Summarization Dataset. - Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama:
Real-time Neural-based Input Method. - Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New Experiments. - Mahnaz Koupaee, William Yang Wang:
Analyzing and Interpreting Convolutional Neural Networks in NLP. - Jens Domke, Kazuaki Matsumura, Mohamed Wahib, Haoyu Zhang, Keita Yashima, Toshiki Tsuchikawa, Yohei Tsuji, Artur Podobas, Satoshi Matsuoka:
Double-precision FPUs in High-Performance Computing: an Embarrassment of Riches? - Harish K. Venkataraman, Peter J. Seiler:
Recovering Robustness in Model-Free Reinforcement learning. - Michael Fink, Thomas Layer, Georg Mackenbrock, Michael Sprinzl:
Baseline Detection in Historical Documents using Convolutional U-Nets. - Alon Resler, Yishay Mansour:
Adversarial Online Learning with noise. - Masaki Waga, Ichiro Hasuo, Kohei Suenaga:
MONAA: A Tool for Timed Pattern Matching with Automata-Based Acceleration. - Riccardo Guidotti, Salvatore Ruggieri:
Assessing the Stability of Interpretable Models. - Bo Zhou, Xunyu Lin, Brendan L. Eck, Jun Hou, David L. Wilson:
Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs using Multi-scale and Conditional Adversarial Network. - Stephan Mennicke, Jan-Christoph Kalo, Denis Nagel, Hermann Kroll, Wolf-Tilo Balke:
Fast Dual Simulation Processing of Graph Database Queries (Supplement). - Arash Tavakkol, Aasheesh Kolli, Stanko Novakovic, Kaveh Razavi, Juan Gómez-Luna, Hasan Hassan, Claude Barthels, Yaohua Wang, Mohammad Sadrosadati, Saugata Ghose, Ankit Singla, Pratap Subrahmanyam, Onur Mutlu:
Enabling Efficient RDMA-based Synchronous Mirroring of Persistent Memory Transactions. - Shikhar Bhardwaj, Ryan R. Curtin, Marcus Edel, Yannis Mentekidis, Conrad Sanderson:
ensmallen: a flexible C++ library for efficient function optimization. - Guillaume Devineau, Philip Polack, Florent Altché, Fabien Moutarde:
Coupled Longitudinal and Lateral Control of a Vehicle using Deep Learning. - Thierry Coquand:
Canonicity and normalisation for Dependent Type Theory. - Maxim Pisov, Gleb Makarchuk, Valery Kostjuchenko, Alexandra Dalechina, Andrey Golanov, Mikhail Belyaev:
Brain Tumor Image Retrieval via Multitask Learning. - Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Zhen Jia, Daoyi Zheng, Chen Zheng, Xiwen He, Hainan Ye, Haibin Wang, Rui Ren:
Data Motif-based Proxy Benchmarks for Big Data and AI Workloads. - Efsun Sarioglu Kayi, Mona T. Diab, Luca Pauselli, Michael Compton, Glen Coppersmith:
Predictive Linguistic Features of Schizophrenia. - Yao Wu, Henan Guan:
biggy: An Implementation of Unified Framework for Big Data Management System. - Alessandra Cid, Alexandre Rademaker, Bruno Cuconato, Valeria de Paiva:
Linguistic Legal Concept Extraction in Portuguese. - Eldar Insafutdinov, Alexey Dosovitskiy:
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds. - Constantine Dovrolis:
A neuro-inspired architecture for unsupervised continual learning based on online clustering and hierarchical predictive coding. - Milen S. Marev, Ernesto Compatangelo, Wamberto Weber Vasconcelos:
Towards a context-dependent numerical data quality evaluation framework. - Hamid Dadkhahi, Sahand Negahban:
Alternating Linear Bandits for Online Matrix-Factorization Recommendation. - Matthias Meyer, Timo Farei-Campagna, Akos Pasztor, Reto Da Forno, Tonio Gsell, Samuel Weber, Jan Beutel, Lothar Thiele:
Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge. - William B. Langdon:
Human-Competitive Awards 2018. - Andrea Schioppa:
Optimality of the final model found via Stochastic Gradient Descent. - Philipp Haehnel, Jakub Marecek, Julien Monteil, Fearghal O'Donncha:
Scaling up Deep Learning for PDE-based Models. - Narda Cordero-Michel
New Bounds for the Dichromatic Number of a Digraph. - Christopher Dane Shulby, Leonardo Pombal, Vitor Jordão, Guilherme Ziolle, Bruno Martho, Antônio Postal, Thiago Prochnow:
Proactive Security: Embedded AI Solution for Violent and Abusive Speech Recognition. - Amro Awad, Laurent Njilla, Mao Ye
Triad-NVM: Persistent-Security for Integrity-Protected and Encrypted Non-Volatile Memories (NVMs). - Suryanarayana Murthy Durbhakula:
OS Scheduling Algorithms for Improving the Performance of Multithreaded Workloads. - Gleison Brito, Ricardo Terra, Marco Túlio Valente:
Monorepos: A Multivocal Literature Review. - Bharath Raj N., N. Venkateswaran:
Single Image Haze Removal using a Generative Adversarial Network. - Brendan Mumey
Indexing Point Sets for Approximate Bottleneck Distance Queries. - Nicola Milano, Stefano Nolfi:
Scaling Up Cartesian Genetic Programming through Preferential Selection of Larger Solutions. - Philipp Tschandl, Giuseppe Argenziano, Majid Razmara, Jordan Yap:
Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features. - Xiaobin Hu, Hongwei Li, Yu Zhao, Chao Dong, Marie Piraud:
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function. - Yoni Kasten, Michael Werman:
Two view constraints on the epipoles from few correspondences. - Nicolai Häni, Pravakar Roy, Volkan Isler:
A Comparative Study of Fruit Detection and Counting Methods for Yield Mapping in Apple Orchards. - Antreas Antoniou, Harrison Edwards, Amos J. Storkey:
How to train your MAML. - Rui Facundo Vigelis, Luiza Helena Félix de Andrade, Charles C. Cavalcante:
A Family of Statistical Divergences Based on Quasiarithmetic Means. - Ari Z. Klein, Abeed Sarker, Davy Weissenbacher, Graciela Gonzalez-Hernandez:
Automatically Detecting Self-Reported Birth Defect Outcomes on Twitter for Large-scale Epidemiological Research. - Issam Ghabry:
Selection of BJI configuration: Approach based on minimal transversals. - Nathan Jacobs, Adam Kraft, Muhammad Usman Rafique, Ranti Dev Sharma:
A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery. - Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville:
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. - Eli Bingham, Jonathan P. Chen, Martin Jankowiak, Fritz Obermeyer, Neeraj Pradhan, Theofanis Karaletsos, Rohit Singh, Paul A. Szerlip, Paul Horsfall, Noah D. Goodman:
Pyro: Deep Universal Probabilistic Programming. - Conor Sheehan, Ben Day, Pietro Liò:
Introducing Curvature to the Label Space. - Dang Tu Nguyen, Chengyu Song, Zhiyun Qian, Srikanth V. Krishnamurthy, Edward J. M. Colbert, Patrick D. McDaniel:
IoTSan: Fortifying the Safety of IoT Systems. - Xiaoran Xu, Keith D. Cooper, Jacob Brock, Yan Zhang, Handong Ye:
ShareJIT: JIT Code Cache Sharing across Processes and Its Practical Implementation. - Daniel N. Hill, Houssam Nassif, Yi Liu, Anand Iyer, S. V. N. Vishwanathan:
An Efficient Bandit Algorithm for Realtime Multivariate Optimization. - Shane T. Barratt, Mykel J. Kochenderfer, Stephen P. Boyd:
Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace from Position Data. - Ery Arias-Castro, Adel Javanmard, Bruno Pelletier:
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning. - Nils Gessert, Sarah Latus, Youssef S. Abdelwahed, David M. Leistner, Matthias Lutz, Alexander Schlaefer:
Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and Weakly Supervised Localization. - Alvaro Henrique Chaim Correia, Jorge Luiz Moreira Silva, Thiago de Castro Martins, Fábio Gagliardi Cozman:
A Fully Attention-Based Information Retriever. - Nils Gessert, Martin Gromniak, Matthias Schlüter, Alexander Schlaefer:
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation. - Liliang Ren, Kaige Xie, Lu Chen, Kai Yu:
Towards Universal Dialogue State Tracking. - R. Stuart Geiger:
The Lives of Bots. - Malay Haldar, Mustafa Abdool, Prashant Ramanathan, Tao Xu, Shulin Yang, Huizhong Duan, Qing Zhang, Nick Barrow-Williams, Bradley C. Turnbull, Brendan M. Collins, Thomas Legrand:
Applying Deep Learning To Airbnb Search. - Edward Choi, Cao Xiao, Walter F. Stewart, Jimeng Sun:
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare. - Setu Shah, Xiao Luo:
Biomedical Document Clustering and Visualization based on the Concepts of Diseases. - Tae Wan Kim:
Explainable artificial intelligence (XAI), the goodness criteria and the grasp-ability test. - Akond Rahman, Laurie A. Williams:
Source Code Properties of Defective Infrastructure as Code Scripts. - Linfeng Song, Yue Zhang, Daniel Gildea:
Neural Transition-based Syntactic Linearization. - Eric C. R. Hehner:
A Theory of Lazy Imperative Timing. 1-9 - Ian J. Hayes:
Some Challenges of Specifying Concurrent Program Components. 10-22 - Graeme Smith
Correctness of Concurrent Objects under Weak Memory Models. 53-67 - Emil Sekerinski, Shucai Yao:
Refining Santa: An Exercise in Efficient Synchronization. 68-86 - Mathieu Montin, Marc Pantel:
Ordering Strict Partial Orders to Model Behavioral Refinement. 23-38 - Marwa Benabdelali, Lamia Labed Jilani, Wided Ghardallou, Ali Mili:
Programming Without Refining. 39-52 - Noa Garcia, George Vogiatzis:
How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval. - Yiwen Guo, Chao Zhang, Changshui Zhang, Yurong Chen:
Sparse DNNs with Improved Adversarial Robustness. - Giuseppe Nebbione, Derek Doran, Srikanth Nadella, Brandon S. Minnery:
Deep Neural Ranking for Crowdsourced Geopolitical Event Forecasting. - Bo Dai, Sanja Fidler, Dahua Lin:
A Neural Compositional Paradigm for Image Captioning. - Ting Sun, Ming Liu, Haoyang Ye, Dit-Yan Yeung:
Point-cloud-based place recognition using CNN feature extraction. - Masaki Waga, Ichiro Hasuo:
Moore-Machine Filtering for Timed and Untimed Pattern Matching. - Chien-Ju Ho, Ming Yin:
Working in Pairs: Understanding the Effects of Worker Interactions in Crowdwork. - Shi Feng, Jordan L. Boyd-Graber:
What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play. - Jingkang Wang, Ruoxi Jia, Gerald Friedland, Bo Li, Costas J. Spanos:
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy. - Sabah Al-Fedaghi, Dana Shbeeb:
Petri Nets and Machines of Things That Flow. - Ermo Wei, Drew Wicke, Sean Luke:
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space. - Yang Tan, Hongxin Lin, Zelin Xiao, Shengyong Ding, Hongyang Chao:
Face Recognition from Sequential Sparse 3D data via Deep Registration. - Huu Le, Michael Milford:
Large scale visual place recognition with sub-linear storage growth. - Swagata Mandal, Sreetama Sarkar, Ming Ming Wong, Anupam Chattopadhyay, Amlan Chakrabarti:
Criticality Aware Soft Error Mitigation in the Configuration Memory of SRAM based FPGA. - Seiyun Shin, Changho Suh:
Two-way Function Computation. - Stefano Spigler, Mario Geiger, Stéphane d'Ascoli
A jamming transition from under- to over-parametrization affects loss landscape and generalization. - Anshuka Rangi, Massimo Franceschetti:
Online learning with feedback graphs and switching costs. - Sha Hu, Fredrik Rusek, Ove Edfors:
Capacity Degradation with Modeling Hardware Impairment in Large Intelligent Surface. - Hsu-Kuang Chiu, Ehsan Adeli, Borui Wang, De-An Huang, Juan Carlos Niebles:
Action-Agnostic Human Pose Forecasting. - Vaishaal Shankar, Karl Krauth, Qifan Pu, Eric Jonas, Shivaram Venkataraman, Ion Stoica, Benjamin Recht, Jonathan Ragan-Kelley:
numpywren: serverless linear algebra. - Roberto Baldoni, Giuseppe Antonio Di Luna, Luca Massarelli, Fabio Petroni, Leonardo Querzoni:
Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks. - Tobias Glasmachers:
Challenges of Convex Quadratic Bi-objective Benchmark Problems. - Emre Yilmaz, Mitchell McLaren, Henk van den Heuvel, David A. van Leeuwen:
Semi-supervised acoustic model training for speech with code-switching. - Severin Kacianka, Alexander Pretschner:
Understanding and Formalizing Accountability for Cyber-Physical Systems. - Yuanliu Liu, Ang Li, Zejian Yuan, Badong Chen, Nanning Zheng:
Consistency-aware Shading Orders Selective Fusion for Intrinsic Image Decomposition. - Jakub Bednarek, Karol Piaskowski, Krzysztof Krawiec:
Ain't Nobody Got Time For Coding: Structure-Aware Program Synthesis From Natural Language. - Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau:
Single-Image SVBRDF Capture with a Rendering-Aware Deep Network. - Yuanliu Liu, Zejian Yuan:
Color naming guided intrinsic image decomposition. - Xiaochen Li, He Jiang, Yasutaka Kamei, Xin Chen:
Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding. - Radek Mackowiak, Philip Lenz, Omair Ghori, Ferran Diego, Oliver Lange, Carsten Rother:
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation. - Reza Shakeri, Mohammed Ali Al-Garadi, Ahmed Badawy, Amr Mohamed, Tamer Khattab, Abdulla K. Al-Ali, Khaled A. Harras, Mohsen Guizani:
Design Challenges of Multi-UAV Systems in Cyber-Physical Applications: A Comprehensive Survey, and Future Directions. - M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera:
OCAPIS: R package for Ordinal Classification And Preprocessing In Scala. - Joris Roels, Julian Hennies, Yvan Saeys, Wilfried Philips, Anna Kreshuk:
Domain Adaptive Segmentation in Volume Electron Microscopy Imaging. - Joris Roels, Jonas De Vylder, Jan Aelterman, Yvan Saeys, Wilfried Philips:
Convolutional Neural Network Pruning to Accelerate Membrane Segmentation in Electron Microscopy. - Joris Roels, Jan Aelterman, Jonas De Vylder, Hiep Luong, Yvan Saeys, Wilfried Philips:
Bayesian Deconvolution of Scanning Electron Microscopy Images Using Point-spread Function Estimation and Non-local Regularization. - Bo Chen, Qingjiang Shi, Yunlong Cai, Youming Li:
On the Secrecy Unicast Throughput Performance of NOMA Assisted Multicast-Unicast Streaming With Partial Channel Information. - Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin:
On PAC-Bayesian Bounds for Random Forests. - Florin Dragos Tanasache, Mara Sorella, Silvia Bonomi, Raniero Rapone, Davide Meacci:
Building an Emulation Environment for Cyber Security Analyses of Complex Networked Systems. - Hamid Reza Zohouri:
High Performance Computing with FPGAs and OpenCL. - Aarne Talman, Stergios Chatzikyriakidis:
Neural Network Models for Natural Language Inference Fail to Capture the Semantics of Inference. - Ahmed Sabir, Francesc Moreno-Noguer, Lluís Padró:
Visual Semantic Re-ranker for Text Spotting. - Thanos Yannakis, Pavlos Fafalios, Yannis Tzitzikas:
Heuristics-based Query Reordering for Federated Queries in SPARQL 1.1 and SPARQL-LD. - Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis R. Bach:
SING: Symbol-to-Instrument Neural Generator. - Fabian Falck, Sagar Doshi, Nico Smuts, John Lingi, Kim Rants, Petar Kormushev:
Human-centered manipulation and navigation with Robot DE NIRO. - Fernando Alonso-Fernandez, Josef Bigün, Cristofer Englund:
Expression Recognition Using the Periocular Region: A Feasibility Study. - Ram P. Krish, Julian Fiérrez, Daniel Ramos, Fernando Alonso-Fernandez, Josef Bigün:
Improving Automated Latent Fingerprint Identification using Extended Minutia Types. - Bertrand Cornélusse, Iacopo Savelli, Simone Paoletti, Antonio Giannitrapani, Antonio Vicino:
A Community Microgrid Architecture with an Internal Local Market. - Dimitrios Varytimidis, Fernando Alonso-Fernandez, Boris Durán, Cristofer Englund:
Action and intention recognition of pedestrians in urban traffic. - Hong Chen, Zhenhua Fan, Hao Lu, Alan L. Yuille, Shu Rong:
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution. - Frida Femling, Adam Olsson, Fernando Alonso-Fernandez:
Fruit and Vegetable Identification Using Machine Learning for Retail Applications. - Shuang Wu, Xiaoqiang Ren, Qing-Shan Jia, Karl Henrik Johansson, Ling Shi:
Learning Optimal Scheduling Policy for Remote State Estimation under Uncertain Channel Condition. - Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng:
Self-Erasing Network for Integral Object Attention. - Duleep Rathgamage Don, Ionut Emil Iacob:
DCSVM: Fast Multi-class Classification using Support Vector Machines. - Raffaele Ponzini, Francesco Salvadore:
LincoSim: a web based HPC-cloud platform for automatic virtual towing tank analysis. - Rediet Abebe, Kira Goldner:
Mechanism Design for Social Good. - Shuqiang Jiang, Weiqing Min, Shuhuan Mei:
Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction. - Peter G. Fennell, Zhiya Zuo, Kristina Lerman:
Predicting and Explaining Behavioral Data with Structured Feature Space Decomposition. - Michal Okulewicz
Bringing Together Project Simulation and Psychometric Tests: A Business Game Proposal. - Martin Westerkamp, Friedhelm Victor, Axel Küpper:
Blockchain-based Supply Chain Traceability: Token Recipes model Manufacturing Processes. - Bhairav Mehta, Adithya Ramanathan:
A Scalable, Flexible Augmentation of the Student Education Process. - Zhengsu Chen, Jianwei Niu, Qi Tian:
DropFilter: Dropout for Convolutions. - Tara Salman, Ahmed Badawy, Tarek M. El-Fouly, Amr Mohamed, Tamer Khattab:
Estimating the Number of Sources: An Efficient Maximization Approach. - John Sherlock, Manoj Muniswamaiah, Lauren Clarke, Shawn Cicoria:
Classification of Titanic Passenger Data and Chances of Surviving the Disaster. - Lukas Mauch, Bin Yang:
Deep Neural Network inference with reduced word length. - Tiago M. Sousa, Tiago Soares, Pierre Pinson, Fabio Moret, Thomas Baroche, Etienne Sorin:
Peer-to-peer and community-based markets: A comprehensive review. - Keno Fischer, Elliot Saba:
Automatic Full Compilation of Julia Programs and ML Models to Cloud TPUs. - Deval Bhamare, Tara Salman, Mohammed Samaka, Aiman Erbad, Raj Jain:
Feasibility of Supervised Machine Learning for Cloud Security. - Michael Schmischke:
Nonequispaced Fast Fourier Transform (NFFT) Interface for Julia. - Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo:
Learning Classical Planning Strategies with Policy Gradient. - M. Hadi Kiapour, Robinson Piramuthu:
Brand > Logo: Visual Analysis of Fashion Brands. - Brandon Schoenfeld, Christophe G. Giraud-Carrier, Mason Poggemann, Jarom Christensen, Kevin D. Seppi:
Preprocessor Selection for Machine Learning Pipelines. - Monika Sharma, Tristan Glatard, Éric Gélinas, Mariam Tagmouti, Brigitte Jaumard:
Data models for service failure prediction in supply-chain networks. - Armin W. Thomas
Interpretable LSTMs For Whole-Brain Neuroimaging Analyses. - Agata Savary, Simon Petitjean, Timm Lichte, Laura Kallmeyer, Jakub Waszczuk:
Object-oriented lexical encoding of multiword expressions: Short and sweet. - Jonathan X. Zheng, Samraat Pawar, Dan F. M. Goodman:
Comments on "Towards Unambiguous Edge Bundling: Investigating Confluent Drawings for Network Visualization". - Akane Matsushima, Ryosuke Kanajiri, Yusuke Hattori, Chie Fukada, Natsuki Oka:
Stepwise Acquisition of Dialogue Act Through Human-Robot Interaction. - Yujie Zhong, Relja Arandjelovic, Andrew Zisserman:
GhostVLAD for set-based face recognition. - Ziran Wang, BaekGyu Kim, Hiromitsu Kobayashi, Guoyuan Wu, Matthew J. Barth:
Agent-Based Modeling and Simulation of Connected and Automated Vehicles Using Game Engine: A Cooperative On-Ramp Merging Study. - Sahand Akbari:
Social Status and Communication Behavior in an Evolving Social Network. - Hanjoo Kim, Minkyu Kim, Dongjoo Seo, Jinwoong Kim, Heungseok Park, Soeun Park, Hyunwoo Jo, KyungHyun Kim, Youngil Yang, Youngkwan Kim, Nako Sung, Jung-Woo Ha:
NSML: Meet the MLaaS platform with a real-world case study. - Matthew Sotoudeh, Anand Venkat, Michael J. Anderson, Evangelos Georganas, Alexander Heinecke, Jason Knight:
ISA Mapper: A Compute and Hardware Agnostic Deep Learning Compiler. - Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Using Deep Learning for price prediction by exploiting stationary limit order book features. - Brett Daley, Christopher Amato:
Efficient Eligibility Traces for Deep Reinforcement Learning. - Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran:
Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients. - Wei Chen, Shang-Hua Teng, Hanrui Zhang:
A Systematic Framework and Characterization of Influence-Based Network Centrality. - Pengfei Liu, Xuanjing Huang:
Meta-Learning Multi-task Communication. - Mohammad Mohammadi Amiri, Deniz Gündüz:
Computation Scheduling for Distributed Machine Learning with Straggling Workers. - Tomer Libal, Matteo Pascucci:
Automated Reasoning in Normative Detachment Structures with Ideal Conditions. - Diego Marcheggiani, Laura Perez-Beltrachini:
Deep Graph Convolutional Encoders for Structured Data to Text Generation. - Kristen Masada, Razvan C. Bunescu:
Chord Recognition in Symbolic Music: A Segmental CRF Model, Segment-Level Features, and Comparative Evaluations on Classical and Popular Music. - Nilamadhaba Mohapatra, Vasileios Iosifidis, Asif Ekbal, Stefan Dietze, Pavlos Fafalios:
Time-Aware and Corpus-Specific Entity Relatedness. - Brad Lackey:
A belief propagation algorithm based on domain decomposition. - Mohammad Hashemi, Greg Cusack, Eric Keller:
Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses. - Jose Maria Almira, Pedro E. López-de-Teruel, D. J. Romero-López:
Some negative results for Neural Networks. - Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney
Analysis of Strategy and Spread of Russia-sponsored Content in the US in 2017. - Elvis H. W. Xu, Pak Ming Hui:
Uncovering Complex Overlapping Pattern of Communities in Large-scale Social Networks. - Halima Nefzi:
A new approach of contextual recommendation based on the method of Hierarchical Analysis of Processes. - Taylor L. Bobrow, Faisal Mahmood, Miguel Inserni, Nicholas J. Durr:
DeepLSR: Deep learning approach for laser speckle reduction. - Charles Carlson, Alexandra Kolla, Luca Trevisan:
A Ramsey-type Theorem on the Max-Cut Value of d-Regular Graphs. - Md. Mostofa Ali Patwary, Milind Chabbi, Heewoo Jun, Jiaji Huang, Gregory Frederick Diamos, Kenneth Church:
Language Modeling at Scale. - Jason M. Altschuler, Francis R. Bach, Alessandro Rudi, Jonathan Weed:
Approximating the Quadratic Transportation Metric in Near-Linear Time. - Hermina Petric Maretic, Pascal Frossard:
Graph Laplacian mixture model. - Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Erik B. Sudderth, Jan Kautz:
A Fusion Approach for Multi-Frame Optical Flow Estimation. - Navoneel Chakrabarty, Sanket Biswas:
A Statistical Approach to Adult Census Income Level Prediction. - Lili Su, Shahin Shahrampour:
Finite-time Guarantees for Byzantine-Resilient Distributed State Estimation with Noisy Measurements. - Biyi Fang, Xiao Zeng, Mi Zhang:
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision. - Aayush Prakash, Shaad Boochoon, Mark Brophy, David Acuna, Eric Cameracci, Gavriel State, Omer Shapira, Stan Birchfield:
Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data. - Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Novel Adaptive Algorithms for Estimating Betweenness, Coverage and k-path Centralities. - Jacob Rafati, David C. Noelle:
Learning Representations in Model-Free Hierarchical Reinforcement Learning. - Saleh Mousa, Sherif Ishak:
Comparative Evaluation of Tree-Based Ensemble Algorithms for Short-Term Travel Time Prediction. - Abubakar Abid, James Y. Zou:
Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders. - Yanzi Zhu, Zhujun Xiao, Yuxin Chen, Zhijing Li, Max Liu, Ben Y. Zhao, Haitao Zheng:
Adversarial WiFi Sensing. - Gilbert Rotich, Rodrigo Minetto, Sudeep Sarkar:
Resource-Constrained Simultaneous Detection and Labeling of Objects in High-Resolution Satellite Images. - Sikai Qu, Armand M. Makowski:
On the log-normality of the degree distribution in large homogeneous binary multiplicative attribute graph models. - Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans
End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging. - Rajiv Khanna, Been Kim, Joydeep Ghosh, Oluwasanmi Koyejo:
Interpreting Black Box Predictions using Fisher Kernels. - Fabian Boemer, Yixing Lao, Casimir Wierzynski:
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data. - Hongteng Xu:
PoPPy: A Point Process Toolbox Based on PyTorch. - Venkat Arun, Aniket Kate, Deepak Garg, Peter Druschel, Bobby Bhattacharjee:
SATE: Robust and Private Allegation Escrows. - Yang Li, Lukasz Kaiser, Samy Bengio, Si Si:
Area Attention. - Gautam Goel, Adam Wierman:
Smoothed Online Optimization for Regression and Control. - Charalampos Avraam, Jesse Rines, Aurik Sarker, Fernando Paganini, Enrique Mallada:
Voltage Collapse Stabilization: A Game Theory Viewpoint. - Huu Le, Anders P. Eriksson, Thanh-Toan Do, Michael Milford:
A Binary Optimization Approach for Constrained K-Means Clustering. - Nguyen Cong Luong, Tran The Anh, Huynh Thi Thanh Binh, Dusit Niyato, Dong In Kim, Ying-Chang Liang:
Joint Transaction Transmission and Channel Selection in Cognitive Radio Based Blockchain Networks: A Deep Reinforcement Learning Approach. - Simon Hudon, Thai Son Hoang, Jonathan S. Ostroff:
The Unit-B Method - Refinement Guided by Progress Concerns. - Xu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao, Zhiyuan Liu, Maosong Sun:
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation. - Menglin Jia, Yichen Zhou, Mengyun Shi, Bharath Hariharan:
A Deep-Learning-Based Fashion Attributes Detection Model. - Hui Sun, Cheng Li, Boqiang Liu, Shanshan Wang:
AUNet: Breast Mass Segmentation of Whole Mammograms. - Min Chen, Andy Song, Shivanthan A. C. Yhanandan, Jing Zhang:
Background Subtraction using Compressed Low-resolution Images. - Shengping Zhou, Zi Long, Lianzhi Tan, Hao Guo:
Automatic Identification of Indicators of Compromise using Neural-Based Sequence Labelling. - Yanzi Zhu, Ying Ju, Bolun Wang, Jenna Cryan, Ben Y. Zhao, Haitao Zheng:
Wireless Side-Lobe Eavesdropping Attacks. - Haihao Lu, Rahul Mazumder:
Randomized Gradient Boosting Machine. - Yuxiu Hua, Zhifeng Zhao, Rongpeng Li, Xianfu Chen, Zhiming Liu, Honggang Zhang:
Deep Learning with Long Short-Term Memory for Time Series Prediction. - Nevan Wichers, Dilek Hakkani-Tür, Jindong Chen:
Resolving Referring Expressions in Images With Labeled Elements. - Hao Wang, Fan Zhang, Qiong Wu, Yaohua Hu, Yuanming Shi:
Nonconvex and Nonsmooth Sparse Optimization via Adaptively Iterative Reweighted Methods. - Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu:
Data-driven Blockbuster Planning on Online Movie Knowledge Library. - Tolgahan Cakaloglu, Christian Szegedy, Xiaowei Xu:
Text Embeddings for Retrieval From a Large Knowledge Base. - Luke Metz, Niru Maheswaranathan, Jeremy Nixon, C. Daniel Freeman, Jascha Sohl-Dickstein:
Learned optimizers that outperform SGD on wall-clock and test loss. - Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang:
Exploiting Deep Representations for Neural Machine Translation. - Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang:
Modeling Localness for Self-Attention Networks. - Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, Tong Zhang:
Multi-Head Attention with Disagreement Regularization. - Subhajit Maity, Sujan Sarkar, Avinaba Tapadar, Ayan Dutta, Sanket Biswas, Sayon Nayek, Pritam Saha:
Fault Area Detection in Leaf Diseases using k-means Clustering. - Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks. - Wei Zhou, Julie Stephany Berrio, Stewart Worrall, Eduardo M. Nebot:
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving. - Hiroki Watanabe, Shigenori Ohashi, Shigeru Fujimura, Atsushi Nakadaira, Kota Hidaka, Jay Kishigami:
Niji: Bitcoin Bridge Utilizing Payment Channels. - Jean-Daniel Taupiac, Nancy Rodriguez
Immercity: a curation content application in Virtual and Augmented reality. - Jian Li, Yabiao Wang, Changan Wang, Ying Tai, Jianjun Qian, Jian Yang, Chengjie Wang, Ji-Lin Li, Feiyue Huang:
DSFD: Dual Shot Face Detector. - Zijie Zhuang, Haizhou Ai, Long Chen, Chong Shang:
Cross-Resolution Person Re-identification with Deep Antithetical Learning. - Piotr Czapla, Jeremy Howard, Marcin Kardas:
Universal Language Model Fine-Tuning with Subword Tokenization for Polish. - Zhou Zhao, Hanbing Zhan, Lingtao Meng, Jun Xiao, Jun Yu, Min Yang, Fei Wu, Deng Cai:
Textually Guided Ranking Network for Attentional Image Retweet Modeling. - Guillaume Ducoffe:
Faster approximation algorithms for computing shortest cycles on weighted graphs. - Alexander Pilz, Patrick Schnider:
Extending the centerpoint theorem to multiple points. - Zhengchao Zhang, Meng Li, Xi Lin, Yinhai Wang, Fang He:
Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism. - Mathieu Xhonneux, Fabien Duchene, Olivier Bonaventure:
Leveraging eBPF for programmable network functions with IPv6 Segment Routing. - Jaspreet Singh, Wolfgang Nejdl, Avishek Anand:
History by Diversity: Helping Historians search News Archives. - Jaspreet Singh, Johannes Hoffart, Avishek Anand:
Discovering Entities with Just a Little Help from You. - Jaspreet Singh, Avishek Anand:
Designing Search Tasks for Archive Search. - Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu, Pascale Fung:
Learn to Code-Switch: Data Augmentation using Copy Mechanism on Language Modeling. - Tomer Libal, Marco Volpe:
A general proof certification framework for modal logic. - Satoshi Shimizu, Kazuaki Yamaguchi, Sumio Masuda:
A Maximum Edge-Weight Clique Extraction Algorithm Based on Branch-and-Bound. - Mathieu Xhonneux, Olivier Bonaventure:
Flexible failure detection and fast reroute using eBPF and SRv6. - Emilija Stojmenova Duh, Andrej Duh, Uros Droftina, Tim Kos, Urban Duh, Tanja Simonic Korosak, Dean Korosak:
Publish-and-Flourish: decentralized co-creation and curation of scholarly content. - Reihaneh Mirjalili, Aghil Yousefi-Koma, Farzad A. Shirazi, Arman Nikkhah, Fatemeh Nazemi, Majid Khadiv:
A Whole-Body Model Predictive Control Scheme Including External Contact Forces and CoM Height Variations. - Dejan Brkic, Pavel Praks:
Accurate and efficient explicit approximations of the Colebrook flow friction equation based on the Wright-Omega function. - Jordi Pons, Joan Serrà, Xavier Serra:
Training neural audio classifiers with few data. - Luan Teylo, Lúcia Maria de A. Drummond, Luciana Arantes, Pierre Sens:
A Bag-of-Tasks Scheduler Tolerant to Temporal Failures in Clouds. - Qing Lyu, Xiang Chen:
Learning color space adaptation from synthetic to real images of cirrus clouds. - Jia Sun, Dongdong Yu, Yinghong Li, Changhu Wang:
Mask Propagation Network for Video Object Segmentation. - Matvey Ezhov, Adel Zakirov, Maxim Gusarev:
Coarse-to-fine volumetric segmentation of teeth in Cone-Beam CT. - Gijs Jasper Wijnholds:
A Proof-Theoretic Approach to Scope Ambiguity in Compositional Vector Space Models. - Lee Cohen, Yishay Mansour:
Optimal Algorithm for Bayesian Incentive-Compatible. - Jinjin Chi, Jihong Ouyang, Changchun Li, Xueyang Dong, Ximing Li, Xinhua Wang:
Topic representation: finding more representative words in topic models. - Pavlos Fafalios, Vasileios Iosifidis, Eirini Ntoutsi, Stefan Dietze:
TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets. - Adel Zakirov, Matvey Ezhov, Maxim Gusarev, Vladimir Alexandrovsky, Evgeny Shumilov:
Dental pathology detection in 3D cone-beam CT. - Jiyuan Wang, Ming Gao, Yu Jiang, Jian-Guang Lou, Yue Gao, Dongmei Zhang, Jiaguang Sun:
QuanFuzz: Fuzz Testing of Quantum Program. - Zaixiang Zheng, Shujian Huang, Zewei Sun, Rongxiang Weng, Xin-Yu Dai, Jiajun Chen:
Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation. - Umut Sulubacak, Jörg Tiedemann, Aku Rouhe, Stig-Arne Grönroos, Mikko Kurimo:
The MeMAD Submission to the IWSLT 2018 Speech Translation Task. - Aadirupa Saha, Aditya Gopalan:
Active Ranking with Subset-wise Preferences. - Petar Radanliev:
Economic impact of IoT cyber risk - Analysing past and present to predict the future developments in IoT risk analysis and IoT cyber insurance. - Shin Dong Kyun, Minhaz Uddin Ahmed, Phill-Kyu Rhee:
Incremental Deep Learning for Robust Object Detection in Unknown Cluttered Environments. - Christopher J. Tralie, Paul Bendich, John Harer:
Multi-scale Geometric Summaries for Similarity-based Sensor Fusion. - Jonas König, Simon Malberg, Martin Martens, Sebastian Niehaus, Artus Krohn-Grimberghe, Arunselvan Ramaswamy:
Multi-Stage Reinforcement Learning For Object Detection. - Lisa Graziani, Stefano Melacci, Marco Gori:
Coherence Constraints in Facial Expression Recognition. - Ha Young Kim, Ba Rom Kang:
Instance Segmentation and Object Detection with Bounding Shape Masks. - Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey:
Label Propagation for Learning with Label Proportions. - Rohan Watkins, Nick E. Pears, Suresh Manandhar:
Vehicle classification using ResNets, localisation and spatially-weighted pooling. - João Reis, Gil Gonçalves:
Hyper-Process Model: A Zero-Shot Learning algorithm for Regression Problems based on Shape Analysis. - Song Li, Geoffrey Kwok Fai Tso:
Bottleneck Supervised U-Net for Pixel-wise Liver and Tumor Segmentation. - Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler:
Downsampling leads to Image Memorization in Convolutional Autoencoders. - Nicole Nichols, Robert Jasper:
Projecting Trouble: Light Based Adversarial Attacks on Deep Learning Classifiers. - Thomas Andrew Lampert, Odyssée Merveille, Jessica Schmitz, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert:
Strategies for Training Stain Invariant CNNs. - Sevil Maghsadhagh, Mousa Shamsi, Anders Eklund, Hamid Behjat:
Characterization of Brain Cortical Morphology Using Localized Topology-Encoding Graphs. - Sjoerd van Steenkiste
A Case for Object Compositionality in Deep Generative Models of Images. - Fabio Cuzzolin:
Visions of a generalized probability theory. - Avinash V. Varadarajan, Pinal Bavishi, Paisan Raumviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George Bresnick, Mongkol Tadarati, Sukhum Silpa-Archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joe Ledsam, Pearse A. Keane, Gregory S. Corrado, Lily Peng, Dale R. Webster:
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. - Felipe A. Medeiros, Alessandro A. Jammal, Atalie C. Thompson:
From Machine to Machine: An OCT-trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs. - Weiwen Wu, Qian Wang, Fenglin Liu, Yining Zhu, Hengyong Yu:
Block Matching Frame based Material Reconstruction for Spectral CT. - Amirreza Rezvantalab, Habib Safigholi
Dermatologist Level Dermoscopy Skin Cancer Classification Using Different Deep Learning Convolutional Neural Networks Algorithms. - Michelle P. Kuchera, Raghuram Ramanujan, Jack Z. Taylor, Ryan R. Strauss, Daniel Bazin, Joshua Bradt, Ruiming Chen:
Machine Learning Methods for Track Classification in the AT-TPC. - Hsin-Pai Cheng, Yuanjun Huang, Xuyang Guo, Yifei Huang, Feng Yan, Hai Li, Yiran Chen:
Differentiable Fine-grained Quantization for Deep Neural Network Compression. - Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig, Ivana Isgum:
Generative adversarial networks and adversarial methods in biomedical image analysis. - Yang Li, Meng-Ying Lei, Xianrui Zhang, Wei-Gang Cui, Yuzhu Guo, Tingwen Huang, Hua-Liang Wei:
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis. - Lin Zhang, Valeriy Vishnevskiy, András Jakab, Orcun Goksel:
Implicit Modeling with Uncertainty Estimation for Intravoxel Incoherent Motion Imaging. - Sang-Min Choi, Jiho Park, Quan Hoang Nguyen, Andre Cronje:
Fantom: A scalable framework for asynchronous distributed systems. - Tianlun Zhang, Xi Yang:
G-SMOTE: A GMM-based synthetic minority oversampling technique for imbalanced learning. - Vahid Behzadan, Arslan Munir:
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning. - Mirko Fiacchini, Mazen Alamir:
Computing control invariant sets in high dimension is easy. - Anna Veronika Dorogush, Vasily Ershov, Dmitry Kruchinin:
Why every GBDT speed benchmark is wrong. - Ajkel Mino, Gerasimos Spanakis:
LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on color. - Erinc Merdivan, Anastasios Vafeiadis, Dimitrios Kalatzis, Sten Hanke, Johannes Kropf, Konstantinos Votis, Dimitrios Giakoumis, Dimitrios Tzovaras, Liming Chen, Raouf Hamzaoui, Matthieu Geist:
Image-based Natural Language Understanding Using 2D Convolutional Neural Networks. - Bapi Kar, Susmita Sur-Kolay, Chittaranjan A. Mandal:
STAIRoute: Early Global Routing using Monotone Staircases for Congestion Reduction. - Hitoe Ochi, Weiwei Wan, Yajue Yang, Natsuki Yamanobe, Jia Pan, Kensuke Harada:
Deep Learning Scooping Motion using Bilateral Teleoperations. - Archit Sakhadeo, Nisheeth Srivastava:
Effective extractive summarization using frequency-filtered entity relationship graphs. - J. Nagoor Kani, Ahmed H. Elsheikh:
Reduced order modeling of subsurface multiphase flow models using deep residual recurrent neural networks. - Scott Emmons, Peter J. Mucha:
A Map Equation with Metadata: Varying the Role of Attributes in Community Detection. - Weidi Xu, Ying Tan:
Semi-supervised Target-level Sentiment Analysis via Variational Autoencoder. - Ye Lyu, George Vosselman, Guisong Xia, Alper Yilmaz, Michael Ying Yang:
The UAVid Dataset for Video Semantic Segmentation. - Tianhan Lu, Pavol Cerný, Bor-Yuh Evan Chang, Ashutosh Trivedi:
Type-directed Bounding of Collections in Reactive Programs. - Timothy Atkinson, Detlef Plump, Susan Stepney:
Semantic Neutral Drift. - Pavlos Fafalios, Helge Holzmann, Vaibhav Kasturia, Wolfgang Nejdl:
Building and Querying Semantic Layers for Web Archives (Extended Version). - Xiaomin Chen, Zhan Shu, Kezhi Wang, Fangmin Xu, Yue Cao:
Proportional fairness in wireless powered CSMA/CA based IoT networks. - Aykut Özgün Önol, Philip Long, Taskin Padir:
Contact-Implicit Trajectory Optimization Based on a Variable Smooth Contact Model and Successive Convexification. - Meisam Mohammady, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, Mourad Debbabi:
Preserving Both Privacy and Utility in Network Trace Anonymization. - Pankaj K. Agarwal, Haim Kaplan, Geva Kipper, Wolfgang Mulzer, Günter Rote, Micha Sharir, Allen Xiao:
Approximate Minimum-Weight Matching with Outliers under Translation. - Raffaele Romagnoli, Bruce H. Krogh, Dionisio de Niz, Bruno Sinopoli:
Software Rejuvenation for Secure Tracking Control. - Tommy Tram
Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning. - Raffaele Romagnoli, Bruce H. Krogh, Bruno Sinopoli:
Design of Software Rejuvenation for CPS Security Using Invariant Sets. - Maitreya Patel, Anery Patel, Ranendu Ghosh:
Precipitation Nowcasting: Leveraging bidirectional LSTM and 1D CNN. - Ahmed M. Alaa, Mihaela van der Schaar:
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning. - Ricardo Nobre
Improving OpenCL Performance by Specializing Compiler Phase Selection and Ordering. - Frank Havemann, Jochen Gläser, Michael Heinz:
Communities as Well Separated Subgraphs With Cohesive Cores: Identification of Core-Periphery Structures in Link Communities. - Yadollah Yaghoobzadeh, Hinrich Schütze:
Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing. - Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
Neighbourhood Consensus Networks. - Ian Schneider, Jun Jie Joseph Kuan, Mardavij Roozbehani, Munther A. Dahleh:
Between-Ride Routing for Private Transportation Services. - Murilo Varges da Silva, Aparecido Nilceu Marana:
Spatiotemporal CNNs for Pornography Detection in Videos. - Georgi Gorine:
Experimental Investigation of Programmed State Stability in OxRAM Resistive Memories. - Ivona Tautkute, Tomasz Trzcinski:
Classifying and Visualizing Emotions with Emotional DAN. - Andrew M. Saxe, James L. McClelland, Surya Ganguli:
A mathematical theory of semantic development in deep neural networks. - Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos:
Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso. - Kun Wang, WaiChing Sun:
Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning. - Vít Ruzicka, Franz Franchetti:
Fast and accurate object detection in high resolution 4K and 8K video using GPUs. - Yulun Du, Chirag Raman, Alan W. Black, Louis-Philippe Morency, Maxine Eskénazi:
Multimodal Polynomial Fusion for Detecting Driver Distraction. - Henghui Zhu, Ioannis Ch. Paschalidis, Amir Tahmasebi:
Clinical Concept Extraction with Contextual Word Embedding. - Vaibhav Katewa, Fabio Pasqualetti:
On the Real Stability Radius of Sparse Systems. - Abhik Singla, Partha Pratim Roy, Debi Prosad Dogra:
Visual Rendering of Shapes on 2D Display Devices Guided by Hand Gestures. - Davide Dell'Anna
Reasoning about Norms Revision. - Aaron Tucker, Adam Gleave, Stuart Russell:
Inverse reinforcement learning for video games. - Jake Burton, David Frank, Mahdi Saleh, Nassir Navab, Helen L. Bear:
The speaker-independent lipreading play-off; a survey of lipreading machines. - Frantzeska Lavda, Jason Ramapuram, Magda Gregorova, Alexandros Kalousis:
Continual Classification Learning Using Generative Models. - Zhongxing Yu, Matias Martinez, Benjamin Danglot, Thomas Durieux, Martin Monperrus:
Alleviating Patch Overfitting with Automatic Test Generation: A Study of Feasibility and Effectiveness for the Nopol Repair System. - Guilherme Rito, Hervé Paulino
Scheduling computations with provably low synchronization overheads. - Milan Jain, Rachel K. Kalaimani, Srinivasan Keshav, Catherine Rosenberg:
Using Personal Environmental Comfort Systems to Mitigate the Impact of Occupancy Prediction Errors on HVAC Performance. - Suayb S. Arslan:
A Reliability Model for Dependent and Distributed MDS Disk Array Units. - Yao Ma, Ziyi Guo, Zhaochun Ren, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Dynamic Graph Neural Networks. - Robert Benkoczi, Binay Bhattacharya, Yuya Higashikawa, Tsunehiko Kameda, Naoki Katoh:
Minsum k-Sink Problem on Path Networks. - Guilherme Rito, Hervé Paulino:
On the analysis of scheduling algorithms for structured parallel computations. - Riko Jacob, Kasper Green Larsen, Jesper Buus Nielsen:
Lower Bounds for Oblivious Data Structures. - Yuxiao Chen, James Anderson, Karan Kalsi, Steven H. Low, Aaron D. Ames:
Compositional Set Invariance in Network Systems with Assume-Guarantee Contracts. - Ruihao Zhu, Eytan H. Modiano:
Learning to Route Efficiently with End-to-End Feedback: The Value of Networked Structure. - Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno:
A Multilingual Study of Compressive Cross-Language Text Summarization. - Elvys Linhares Pontes, Stéphane Huet, Andréa Carneiro Linhares, Juan-Manuel Torres-Moreno:
Predicting the Semantic Textual Similarity with Siamese CNN and LSTM. - Revanth Reddy, Danish Contractor, Dinesh Raghu, Sachindra Joshi:
Multi-level Memory for Task Oriented Dialogs. - Reza Mirzazade Farkhani, Saman Jafari, Sajjad Arshad, William K. Robertson, Engin Kirda, Hamed Okhravi:
On the Effectiveness of Type-based Control Flow Integrity. - Lerrel Pinto, Aditya Mandalika, Brian Hou, Siddhartha S. Srinivasa:
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions. - Ben Zion Vatashsky, Shimon Ullman:
Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures. - Jianhui Chen, James J. Little:
Sports Camera Calibration via Synthetic Data. - Zhuwen Li, Qifeng Chen, Vladlen Koltun:
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search. - Jonathan Amar, Nicholas Renegar, Haihao Lu:
Near-Optimal Online Knapsack Strategy for Real-Time Bidding in Internet Advertising. - Zefang Zong, Hao Li, Qi Wang:
Multi-Channel Auto-Encoder for Speech Emotion Recognition. - Gregory Yauney, Aman Rana, Lawrence C. Wong, Perikumar Javia, Ali Muftu, Pratik Shah:
Automated Process Incorporating Machine Learning Segmentation and Correlation of Oral Diseases with Systemic Health. - Kurt Shuster, Samuel Humeau, Hexiang Hu, Antoine Bordes, Jason Weston:
Engaging Image Captioning Via Personality. - (Withdrawn) Coding for Computing Arbitrary Functions Unknown to the Encoder.
- Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots:
Truncated Back-propagation for Bilevel Optimization. - Guoqiang Zhong, Tao Li, Wenxue Liu, Yang Chen:
Structure Learning of Deep Networks via DNA Computing Algorithm. - Xiuyuan Cheng, Gal Mishne:
Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian. - Yutong Zhai, Liusheng Huang, Long Chen, Ning Xiao, Yangyang Geng:
COUSTIC: Combinatorial Double auction for Task Assignment in Device-to-Device Clouds. - Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen
A Novel Mobile Edge Network Architecture with Joint Caching-Delivering and Horizontal Cooperation. - Yu Bai, Qijia Jiang, Ju Sun:
Subgradient Descent Learns Orthogonal Dictionaries. - Pramod Kaushik Mudrakarta, Mark Sandler, Andrey Zhmoginov, Andrew G. Howard:
K For The Price Of 1: Parameter Efficient Multi-task And Transfer Learning. - Bo-Jian Hou, Zhi-Hua Zhou:
Learning with Interpretable Structure from RNN. - Qingqing Wu, Rui Zhang:
Beamforming Optimization for Intelligent Reflecting Surface with Discrete Phase Shifts. - Min Chen, Jun Yang, Long Hu, M. Shamim Hossain, Ghulam Muhammad:
Urban Healthcare Big Data System Based on Crowdsourced and Cloud-Based Air Quality Indicators. - Ram Shankar Siva Kumar, David R. O'Brien, Kendra Albert, Salome Vilojen:
Law and Adversarial Machine Learning. - Quanze Chen, Jonathan Bragg, Lydia B. Chilton, Daniel S. Weld:
Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing. - Hoomaan Hezaveh, Iman Valiulahi, Mohammad Hossein Kahaei:
OFDM based Sparse Time Dispersive Channel Estimation with Additional Spectral Knowledge. - Thomas Tseng, Laxman Dhulipala, Guy E. Blelloch:
Batch-Parallel Euler Tour Trees. - Min Chen, Jun Zhou, Guangming Tao, Jun Yang, Long Hu:
Wearable Affective Robot. - Lei Liu, Chau Yuen, Yong Liang Guan, Ying Li, Chongwen Huang:
Gaussian Message Passing for Overloaded Massive MIMO-NOMA. - Zhitao Guan, Jing Li, Longfei Wu, Yue Zhang, Jun Wu, Xiaojiang Du:
Achieving Efficient and Secure Data Acquisition for Cloud-supported Internet of Things in Smart Grid. - Zhitao Guan, Jing Li, Liehuang Zhu, Zijian Zhang, Xiaojiang Du, Mohsen Guizani:
Towards Delay-Tolerant Flexible Data Access Control for Smart Grid with Renewable Energy Resources. - Jing Li, Zhitao Guan, Xiaojiang Du, Zijian Zhang, Jun Wu:
An Efficient Encryption Scheme with Verifiable Outsourced Decryption in Mobile Cloud Computing. - Xiaoyun Wang, Joe Eaton, Cho-Jui Hsieh, Shyhtsun Felix Wu:
Attack Graph Convolutional Networks by Adding Fake Nodes. - Yilin Niu, Chao Qiao, Hang Li, Minlie Huang:
Word Embedding based Edit Distance. - Zhijin Qin, Frank Y. Li, Geoffrey Ye Li, Julie A. McCann, Qiang Ni:
Low-Power Wide-Area Networks for Sustainable IoT. - Jaspreet Singh, Wolfgang Nejdl, Avishek Anand:
Expedition: A Time-Aware Exploratory Search System Designed for Scholars. - Erika Gomes-Gonçalves, Henryk Gzyl, Frank Nielsen:
Geometry and clustering with metrics derived from separable Bregman divergences. - Irene Celino, Gloria Re Calegari:
An Incremental Truth Inference Approach to Aggregate Crowdsourcing Contributions in Games with a Purpose. - Vidyadhar Upadhya, P. S. Sastry:
Efficient Learning of Restricted Boltzmann Machines Using Covariance estimates. - Jing Liu, Gijs van der Schot, Stefan Engblom:
Supervised Classification Methods for Flash X-ray single particle diffraction Imaging. - Shenglan Liu, Xiang Liu, Yang Liu, Lin Feng, Hong Qiao, Jian Zhou, Yang Wang:
Perceptual Visual Interactive Learning. - Dag I. K. Sjøberg, Gunnar R. Bergersen:
The Price of Using Students Comments on Empirical software engineering experts on the use of students and professionals in experiments. - Martin Siggel, Jan Kleinert, Tobias Stollenwerk, Reinhold Maierl:
TiGL - An Open Source Computational Geometry Library for Parametric Aircraft Design. - Ingrid Falk, Delphine Bernhard, Christophe Gérard:
The Logoscope: a Semi-Automatic Tool for Detecting and Documenting French New Words. - Sebastian Glatz, Julien N. P. Martel, Raphaela Kreiser, Ning Qiao, Yulia Sandamirskaya:
Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor. - Lei Yu:
Tackling Sequence to Sequence Mapping Problems with Neural Networks. - Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid:
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells. - Roland Meyer, Sebastian Wolff:
Decoupling Lock-Free Data Structures from Memory Reclamation for Static Analysis. - Matthias Miller
Analyzing Visual Mappings of Traditional and Alternative Music Notation. - Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou:
Adaptive Online Learning in Dynamic Environments. - Iason Oikonomidis, Guillermo Garcia-Hernando, Angela Yao, Antonis A. Argyros, Vincent Lepetit, Tae-Kyun Kim:
HANDS18: Methods, Techniques and Applications for Hand Observation. - Rajai Nasser:
On the Convergence of the Polarization Process in the Noisiness/Weak-* Topology. - Andrei Stefanescu, Stefan Ciobaca, Radu Mereuta, Brandon M. Moore, Traian-Florin Serbanuta, Grigore Rosu:
All-Path Reachability Logic. - Angelica I. Avilés-Rivero
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction. - Sebastian Lamm, Christian Schulz, Darren Strash, Robert Williger, Huashuo Zhang:
Exactly Solving the Maximum Weight Independent Set Problem on Large Real-World Graphs. - Nicolas Locatelli, Adrien F. Vincent, Damien Querlioz:
Use of Magnetoresistive Random-Access Memory as Approximate Memory for Training Neural Networks. - Liang Liu, Shuowen Zhang, Rui Zhang:
Exploiting NOMA for Multi-Beam UAV Communication in Cellular Uplink. - Liyan Sun, Jiexiang Wang, Xinghao Ding, Yue Huang, John W. Paisley:
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Removal. - Gabriele Valvano
Training of a Skull-Stripping Neural Network with efficient data augmentation. - Valentina Lenarduzzi, Davide Taibi:
Microservices, Continuous Architecture, and Technical Debt Interest: An Empirical Study. - Christoph Meier, Alexander Popp, Wolfgang A. Wall:
Extended Comment on the Article "Consistent Development of a Beam-To-Beam Contact Algorithm via the Curve to Solid Beam Contact - Analysis for the Non-Frictional Case". - Romain Azaïs, Jean-Baptiste Durand
Approximation of trees by self-nested trees. - David Manheim:
Overoptimization Failures and Specification Gaming in Multi-agent Systems. - Christopher Bowles
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks. - Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang:
Convolutional Set Matching for Graph Similarity. - Sukjong Ha, Jingjing Zhang, Osvaldo Simeone, Joonhyuk Kang:
Wireless Map-Reduce Distributed Computing with Full-Duplex Radios and Imperfect CSI. - Alexey N. Medvedev, Renaud Lambiotte, Jean-Charles Delvenne:
The anatomy of Reddit: An overview of academic research. - Daniel Fernández-González, Carlos Gómez-Rodríguez:
Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing. - Thomas Kriechbaumer, Hans-Arno Jacobsen:
Waveform Signal Entropy and Compression Study of Whole-Building Energy Datasets. - Jason L. Deglint, Chao Jin, Alexander Wong:
Investigating the Automatic Classification of Algae Using Fusion of Spectral and Morphological Characteristics of Algae via Deep Residual Learning. - Han Shao, Xiaotian Yu, Irwin King, Michael R. Lyu:
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs. - Bartosz Bednarczyk:
The One-Variable Logic Meets Presburger Arithmetic. - Will Ma, David Simchi-Levi, Chung-Piaw Teo:
On Policies for Single-leg Revenue Management with Limited Demand Information. - Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
Adversarial Semantic Scene Completion from a Single Depth Image. - Loren Lugosch, Warren J. Gross:
Learning from the Syndrome. - Steve Huntsman:
A Markov model for inferring flows in directed contact networks. - Damien Pellier, Bruno Bouzy, Marc Métivier:
Planification en temps réel avec agenda de buts et sauts. - Damien Pellier, Mickaël Vanneufville, Humbert Fiorino, Marc Métivier, Bruno Bouzy:
MGP: Un algorithme de planification temps réel prenant en compte l'évolution dynamique du but. - Damien Pellier, Carole Adam, Wafa Johal
Une architecture cognitive et affective orient{é}e interaction. - Abdeldjalil Ramoul, Damien Pellier, Humbert Fiorino, Sylvie Pesty:
Une approche totalement instanciée pour la planification HTN. - Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry P. Vetrov:
Bayesian Compression for Natural Language Processing. - Mingtao Dong, Jindong Han:
HAR-Net: Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition. - Aaron Bernstein, Sebastian Forster, Monika Henzinger:
A Deamortization Approach for Dynamic Spanner and Dynamic Maximal Matching. - Reed M. Williams, Horea T. Ilies:
Practical Shape Analysis and Segmentation Methods for Point Cloud Models. - Bogdan Kulynych, Jamie Hayes, Nikita Samarin, Carmela Troncoso:
Evading classifiers in discrete domains with provable optimality guarantees. - Ararat Harutyunyan, Michael Lampis, Vadim V. Lozin, Jérôme Monnot:
Maximum Independent Sets in Subcubic Graphs: New Results. - Juan Manuel Fernández Montenegro:
Alzheimer's Disease Diagnosis Based on Cognitive Methods in Virtual Environments and Emotions Analysis. - Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann:
Understanding the Role of Two-Sided Argumentation in Online Consumer Reviews: A Language-Based Perspective. - Jaesung Choi, Pilwon Kim:
Critical Neuromorphic Computing based on Explosive Synchronization. - Jianlin Su:
Training Generative Adversarial Networks Via Turing Test. - Sven Buechel, João Sedoc, H. Andrew Schwartz, Lyle H. Ungar:
Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations. - Yuankai Wu, Huachun Tan, Bin Ran:
Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning. - Kemilly Dearo Garcia, Tiago Carvalho, João Mendes-Moreira
A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition. - Ishan Jindal, Matthew S. Nokleby:
Tensor Matched Kronecker-Structured Subspace Detection for Missing Information. - Iqbal H. Sarker:
SilentPhone: Inferring User Unavailability based Opportune Moments to Minimize Call Interruptions. - Hannah Alpert, Érika Roldán:
Art Gallery Problem with Rook Vision. - Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Xin Ma, Yuan Xie:
Batch Normalization Sampling. - Timm Böttger, Gianni Antichi, Eder Leão Fernandes, Roberto di Lallo, Marc Bruyere, Steve Uhlig, Ignacio Castro:
The Elusive Internet Flattening: 10 Years of IXP Growth. - Ana Cerdeira-Pena, Guillermo de Bernardo, Antonio Fariña
Towards a compact representation of temporal rasters. - Simone Palazzo, Concetto Spampinato, Isaak Kavasidis, Daniela Giordano, Mubarak Shah:
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features. - Karl Bringmann, Marvin Künnemann, André Nusser:
Fréchet Distance Under Translation: Conditional Hardness and an Algorithm via Offline Dynamic Grid Reachability. - Touraj Soleymani, John S. Baras, Karl Henrik Johansson:
Stochastic Control with Stale Information-Part I: Fully Observable Systems. - Leyuan Sheng, Evgeniy N. Pavlovskiy
Reducing over-smoothness in speech synthesis using Generative Adversarial Networks. - Matthew MacKay, Paul Vicol, Jimmy Ba, Roger B. Grosse:
Reversible Recurrent Neural Networks. - Ahmed Fadhil:
The Good, The Bad & The Ugly Features: A Meta-analysis on User Review About Food Journaling Apps. - Pavlos Fafalios, Vasileios Iosifidis, Kostas Stefanidis, Eirini Ntoutsi:
Tracking the History and Evolution of Entities: Entity-centric Temporal Analysis of Large Social Media Archives. - Tianhe Yu, Pieter Abbeel, Sergey Levine, Chelsea Finn:
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks. - Mainul Quraishi, Pavlos Fafalios, Eelco Herder:
Viewpoint Discovery and Understanding in Social Networks. - Pavlos Fafalios, Vaibhav Kasturia, Wolfgang Nejdl:
Ranking Archived Documents for Structured Queries on Semantic Layers. - Pavlos Fafalios, Vaibhav Kasturia, Wolfgang Nejdl:
Towards a Ranking Model for Semantic Layers over Digital Archives. - Dylan J. Foster, Ayush Sekhari, Karthik Sridharan:
Uniform Convergence of Gradients for Non-Convex Learning and Optimization. - Adam Trowbridge, Jessica Westbrook, Filipo Sharevski:
Sorry: Ambient Tactical Deception Via Malware-Based Social Engineering. - Meghan Cowan, Thierry Moreau, Tianqi Chen, Luis Ceze:
Automating Generation of Low Precision Deep Learning Operators. - Juho Kim, Christopher Malon, Asim Kadav:
Teaching Syntax by Adversarial Distraction. - Tauseef Jamal, Zeeshan Haider, Shariq Aziz Butt, Assim Chohan:
Denial of Service Attack in Cooperative Networks. - Hamideh Hajiabadi, Reza Monsefi, Hadi Sadoghi Yazdi:
RELF: Robust Regression Extended with Ensemble Loss Function. - Jaroslaw Watróbski, Jaroslaw Jankowski, Pawel Ziemba, Artur Karczmarczyk, Magdalena Ziolo:
Generalised framework for multi-criteria method selection. - Adeline Massuir, Jarkko Peltomäki, Michel Rigo:
Automatic sequences based on Parry or Bertrand numeration systems. - Choong Hee Kim, Shannon M. Danforth, Patrick D. Holmes
Automated Camera-Based Estimation of Rehabilitation Criteria Following ACL Reconstruction. - Vishwa S. Parekh, Michael A. Jacobs:
Radiomic Synthesis Using Deep Convolutional Neural Networks. - Sabah Al-Fedaghi:
Thinging vs Objectfying in Software Engineering. - Thomas Guntz, James L. Crowley, Dominique Vaufreydaz
The Role of Emotion in Problem Solving: First Results from Observing Chess. - Christo Kirov, Ryan Cotterell, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, S. J. Mielke, Arya D. McCarthy, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden:
UniMorph 2.0: Universal Morphology. - Ammar Ahmad Awan, Jeroen Bédorf, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda:
Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation. - Tae Wan Kim, Thomas Donaldson, John N. Hooker:
Mimetic vs Anchored Value Alignment in Artificial Intelligence. - Jonathan K. Kummerfeld, Sai R. Gouravajhala, Joseph Peper, Vignesh Athreya, R. Chulaka Gunasekara, Jatin Ganhotra, Siva Sankalp Patel, Lazaros Polymenakos, Walter S. Lasecki:
Analyzing Assumptions in Conversation Disentanglement Research Through the Lens of a New Dataset and Model. - Ankan Kumar Bhunia, Ayan Kumar Bhunia, Aneeshan Sain
Improving Document Binarization via Adversarial Noise-Texture Augmentation. - Nelson Kibichii Bore, Ravi Kiran Raman, Isaac M. Markus, Sekou L. Remy, Oliver Bent, Michael Hind, Eleftheria Kyriaki Pissadaki, Biplav Srivastava, Roman Vaculín, Kush R. Varshney, Komminist Weldemariam:
Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network. - Linhai Song, Xinyu Xing:
Fine-Grained Library Customization. - Lei Zhang, Diego Lai, Andriy V. Miranskyy:
The Impact of Position Errors on Crowd Simulation. - Mohamed Masoud, Saeid Belkasim:
Optimizing Capacitated Vehicle Scheduling with Time Windows: A Case Study of RMC Delivery. - Yen-Chia Hsu, Jennifer L. Cross, Paul Dille, Michael Tasota, Beatrice Dias, Randy Sargent, Ting-Hao (Kenneth) Huang, Illah R. Nourbakhsh:
Community-Empowered Mobile Smell Reporting System. - Haida Zhang, Zengfeng Huang, Xuemin Lin, Zhe Lin, Wenjie Zhang, Ying Zhang:
Efficient and High-Quality Seeded Graph Matching: Employing High Order Structural Information. - Farhad Farokhi
Development and Analysis of Deterministic Privacy-Preserving Policies Using Non-Stochastic Information Theory. - Erva Ulu, James McCann, Levent Burak Kara:
Lightweight Structure Design Under Force Location Uncertainty. - Bolton Bailey, Matus Telgarsky:
Size-Noise Tradeoffs in Generative Networks. - Hsin-Rung Chou, Jia-Hong Lee, Yi-Ming Chan, Chu-Song Chen:
Data-specific Adaptive Threshold for Face Recognition and Authentication. - Ilai Bistritz, Amir Leshem:
Distributed Multi-Player Bandits - a Game of Thrones Approach. - Dongliang Wang, Yiyong Yang, Wei Yu, Jiawang Yong, Xiaoxu Dong:
Anti-lock Brake System for Integrated Electric Parking Brake Actuator Based on Sliding-mode Control. - Tharindu Adikari, Stark C. Draper:
Efficient learning of neighbor representations for boundary trees and forests. - Yong Yu, Yujie Ding, Yanqi Zhao, Yannan Li, Xiaojiang Du, Mohsen Guizani:
LRCoin: Leakage-resilient Cryptocurrency Based on Bitcoin for Data Trading in IoT. - Victoria Xia, Zi Wang, Leslie Pack Kaelbling:
Learning sparse relational transition models. - Richard Bean
Using solar and load predictions in battery scheduling at the residential level. - Yong Yu, Yannan Li, Xiaojiang Du, Ruonan Chen, Bo Yang:
Content Protection in Named Data Networking: Challenges and Potential Solutions. - Abhishek Das, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra:
Neural Modular Control for Embodied Question Answering. - Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Michael G. Rabbat, Joelle Pineau:
TarMAC: Targeted Multi-Agent Communication. - Chen Zhu, Xiao Tan, Feng Zhou, Xiao Liu, Kaiyu Yue, Errui Ding, Yi Ma:
Fine-grained Video Categorization with Redundancy Reduction Attention. - Ajay Patel, Alexander Sands, Chris Callison-Burch, Marianna Apidianaki:
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package. - Jaskaran Grover, Daniel Vedova, Nalini Jain, Patrick Vedova, Matthew J. Travers, Howie Choset:
Trajectory Generation for Millimeter Scale Ferromagnetic Swimmers: Theory and Experiments. - Sanqiang Zhao, Rui Meng, Daqing He, Andi Saptono, Bambang Parmanto:
Integrating Transformer and Paraphrase Rules for Sentence Simplification. - Mohsen Khorasany, Yateendra Mishra, Gerard Ledwich:
Distributed Market Clearing Approach for Local Energy Trading in Transactive Market. - Amichai Painsky, Saharon Rosset:
Lossless (and Lossy) Compression of Random Forests. - Jia Yan, Suzhi Bi, Ying-Jun Angela Zhang, Meixia Tao:
Optimal Offloading and Resource Allocation in Mobile-Edge Computing with Inter-user Task Dependency. - Asma Nouira, Jean-Claude Crivello
CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks. - Max-Heinrich Laves, Lüder A. Kahrs, Tobias Ortmaier:
Deep learning based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography. - Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi:
Online Fault Classification in HPC Systems through Machine Learning. - Akihito Taya, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto:
Deep-Reinforcement-Learning-Based Distributed Vehicle Position Controls for Coverage Expansion in mmWave V2X. - Huy H. Nguyen, Junichi Yamagishi, Isao Echizen:
Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos. - Martin Hoefer, Lisa Wilhelmi:
Packing Returning Secretaries. - Dongbin Jiao, Liangjun Ke, Shengbo Liu, Felix T. S. Chan:
Optimal Energy-Delay in Energy Harvesting Wireless Sensor Networks with Interference Channel. - Yun Zhang, Yu-Kun Lai, Fang-Lue Zhang:
Content-Preserving Image Stitching with Regular Boundary Constraints. - Yilei Shi, Qingyu Li, Xiao Xiang Zhu:
Building Footprint Generation Using Improved Generative Adversarial Networks. - Frank Berghaus
Federating distributed storage for clouds in ATLAS. - Chenguang Lu:
From the EM Algorithm to the CM-EM Algorithm for Global Convergence of Mixture Models. - Stefan Klootwijk, Bodo Manthey, Sander K. Visser:
Probabilistic Analysis of Optimization Problems on Generalized Random Shortest Path Metrics. - Mathias Ruggaard Pedersen
A Faster-Than Relation for Semi-Markov Decision Processes. 29-42 - Chengwen Xing, Shuai Wang, Sheng Chen, Shaodan Ma, H. Vincent Poor, Lajos Hanzo:
Unified Overview of Matrix-Monotonic Optimization for MIMO Transceivers. - Fan Wu, Matthew Howard:
Energy regenerative damping in variable impedance actuators for long-term robotic deployment. - Shivansh Rao, Tanzila Rahman, Mrigank Rochan, Yang Wang:
Video-based Person Re-identification Using Spatial-Temporal Attention Networks. - Igor S. Sergeev:
Some comments on the structure of the best known networks sorting 16 elements. - Cristian Ramon-Cortes, Ramon Amela, Jorge Ejarque, Philippe Clauss, Rosa M. Badia:
AutoParallel: A Python module for automatic parallelization and distributed execution of affine loop nests. - Hao Chen, Daniel Zelazo, Xiangke Wang, Lincheng Shen:
Convergence Analysis of Signed Nonlinear Networks. - Elias Döhne:
Virtual Network Embedding via Decomposable LP Formulations: Orientations of Small Extraction Width and Beyond. - Wenzhao Zhao, Qiegen Liu, Yisong Lv, Binjie Qin:
Texture variation adaptive image denoising with nonlocal PCA. - Román Sosa, Csaba Király, Juan D. Parra Rodriguez:
Offloading Execution from Edge to Cloud: a Dynamic Node-RED Based Approach. - Spyros Angelopoulos, Alejandro López-Ortiz:
Interruptible Algorithms for Multiproblem Solving. - Bhaskar Das, Jalal Almhana:
Real-time Context-aware Learning System for IoT Applications. - Alessandro Carfì, Carola Motolese, Barbara Bruno, Fulvio Mastrogiovanni:
Online Human Gesture Recognition using Recurrent Neural Networks and Wearable Sensors. - Dimitris Gkoumas, Sagar Uprety, Dawei Song:
Investigating non-classical correlations between decision fused multi-modal documents. - Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang:
Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network. - Kanat Tangwongsan, Martin Hirzel, Scott Schneider:
Sub-O(log n) Out-of-Order Sliding-Window Aggregation. - Tanujit Chakraborty, Ashis Kumar Chakraborty:
Superensemble Classifier for Improving Predictions in Imbalanced Datasets. - Christian Mayer, Ruben Mayer, Sukanya Bhowmik, Lukas Epple, Kurt Rothermel:
HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion. - Costanza Catalano, Raphaël M. Jungers:
On random primitive sets, directable NDFAs and the generation of slowly synchronizing DFAs. - Arin Chaudhuri, Wenhao Hu:
A fast algorithm for computing distance correlation. - Radmila Jankovic, Alessia Amelio:
Comparing Multilayer Perceptron and Multiple Regression Models for Predicting Energy Use in the Balkans. - Mingsheng Ying, Yangjia Li:
Reasoning about Parallel Quantum Programs. - Jirong Yi, Anh Duc Le, Tianming Wang, Xiaodong Wu, Weiyu Xu:
Outlier Detection using Generative Models with Theoretical Performance Guarantees. - Ji Xu, Daniel Hsu, Arian Maleki:
Benefits of over-parameterization with EM. - Michael Ying Yang, Wentong Liao, Chun Yang
Security Event Recognition for Visual Surveillance. - Mehrnoosh Sadrzadeh, Reinhard Muskens:
Static and Dynamic Vector Semantics for Lambda Calculus Models of Natural Language. - Xuerui Yang, Jiwei Li, Xi Zhou:
A novel pyramidal-FSMN architecture with lattice-free MMI for speech recognition. - Anna Veronika Dorogush, Vasily Ershov, Andrey Gulin:
CatBoost: gradient boosting with categorical features support. - Xin Rong, Joshua Luckson, Eytan Adar:
LAMVI-2: A Visual Tool for Comparing and Tuning Word Embedding Models. - Robert E. Kent:
The Information Flow Foundation for Conceptual Knowledge Organization. - Abigail H. Chown, Christopher J. Cook, Nigel B. Wilding:
A simulated annealing approach to the student-project allocation problem. - Alexander Martin Dethof, Fabio Molinari:
YatSim: an Open-Source Simulator For Testing Consensus-based Control Strategies in Urban Traffic Networks. - Milan Cvitkovic:
Some Requests for Machine Learning Research from the East African Tech Scene. - Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning. - Johan Kwisthout:
Finding dissimilar explanations in Bayesian networks: Complexity results. - Naima Otberdout, Anis Kacem, Mohamed Daoudi, Lahoucine Ballihi, Stefano Berretti:
Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories. - Paolo Baldan, Barbara König, Tommaso Padoan, Christina Mika-Michalski:
Fixpoint Games on Continuous Lattices. - Li Li, Saif Eddin Jabari:
Position weighted backpressure intersection control for connected urban networks. - Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark Campbell, Kilian Q. Weinberger:
Anytime Stereo Image Depth Estimation on Mobile Devices. - Durmus Ozkan Sahin, Oguz Emre Kural, Erdal Kiliç, Armagan Karabina:
A Text Classification Application: Poet Detection from Poetry. - Kyle Kloster, Blair D. Sullivan, Andrew van der Poel:
Mining Maximal Induced Bicliques using Odd Cycle Transversals. - Bowen Shi, Aurora Martinez Del Rio, Jonathan Keane, Jonathan Michaux, Diane Brentari, Greg Shakhnarovich, Karen Livescu:
American Sign Language fingerspelling recognition in the wild. - Bogdan S. Chlebus, Elijah Hradovich, Tomasz Jurdzinski, Marek Klonowski, Dariusz R. Kowalski:
Energy Efficient Adversarial Routing in Shared Channels. - Karren D. Yang, Caroline Uhler:
Scalable Unbalanced Optimal Transport using Generative Adversarial Networks. - Oshin Agarwal, Sanjay Subramanian, Ani Nenkova, Dan Roth:
Named Person Coreference in English News. - Marten van Schijndel, Tal Linzen:
Can Entropy Explain Successor Surprisal Effects in Reading? - Patrick Diehl, Madhavan Seshadri, Thomas Heller, Hartmut Kaiser:
Integration of CUDA Processing within the C++ library for parallelism and concurrency (HPX). - Aniket Bajpai, Sankalp Garg, Mausam:
Transfer of Deep Reactive Policies for MDP Planning. - Alexander Fabisch:
Empirical Evaluation of Contextual Policy Search with a Comparison-based Surrogate Model and Active Covariance Matrix Adaptation. - Sanchit Agarwal, Rahul Goel, Tagyoung Chung, Abhishek Sethi, Arindam Mandal, Spyros Matsoukas:
Parsing Coordination for Spoken Language Understanding. - Bhaskar Gautam, Annappa Basava:
Automatic Identification and Ranking of Emergency Aids in Social Media Macro Community. - Parinaz Farajiparvar, Ahmad Beirami, Matthew S. Nokleby:
Information Bottleneck Methods for Distributed Learning. - Ming Jin, Javad Lavaei:
Stability-certified reinforcement learning: A control-theoretic perspective. - Majid Jahani, Xi He, Chenxin Ma, Aryan Mokhtari, Dheevatsa Mudigere, Alejandro Ribeiro, Martin Takác:
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. - Alessandro Tibo, Manfred Jaeger, Paolo Frasconi:
Learning and Interpreting Multi-Multi-Instance Learning Networks. - Yasin Musa Ayami, Aboubayda Shabat, Delene Heukelman:
Noise Sensitivity of Local Descriptors vs ConvNets: An application to Facial Recognition. - Yasin Musa Ayami, Aboubayda Shabat:
An Acceleration Scheme to The Local Directional Pattern. - Jaehoon Oh, Duyeon Kim, Se-Young Yun:
Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each source. - William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone:
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication. - Zhen Zeng, Yunwen Zhou, Odest Chadwicke Jenkins, Karthik Desingh:
Semantic Mapping with Simultaneous Object Detection and Localization. - Anders Miltner, Solomon Maina, Kathleen Fisher, Benjamin C. Pierce, David Walker, Steve Zdancewic:
Synthesizing Symmetric Lenses. - Bart van Merriënboer, Olivier Breuleux, Arnaud Bergeron, Pascal Lamblin:
Automatic differentiation in ML: Where we are and where we should be going. - Jun He, Yu Chen, Yuren Zhou:
A Theoretical Framework of Approximation Error Analysis of Evolutionary Algorithms. - Alejandro Flores, Andrés Montes de Oca, Gerardo Flores:
A simple controller for the transition maneuver of a tail-sitter drone. - Zhihao Zhu, Zhan Xue, Zejian Yuan:
Automatic Graphics Program Generation using Attention-Based Hierarchical Decoder. - Huanfei Zheng, Zhanrui Liao, Yue Wang:
Human-Robot Trust Integrated Task Allocation and Symbolic Motion planning for Heterogeneous Multi-robot Systems. - Neil Burch, Matej Moravcik, Martin Schmid:
Revisiting CFR+ and Alternating Updates. - Kirill Struminsky, Simon Lacoste-Julien, Anton Osokin:
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates. - Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich:
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. - Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi:
Mobile Sensor Data Anonymization. - Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic:
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. - (Withdrawn) On the Identifiability of the Influence Model for Stochastic Spatiotemporal Spread Processes.
- Roger Gomez Nieto, Eugenio Tamura Morimitsu:
Deep Convolutional Neural Network Applied to Quality Assessment for Video Tracking. - Arman Rahimzamani, Himanshu Asnani, Pramod Viswanath, Sreeram Kannan:
Estimators for Multivariate Information Measures in General Probability Spaces. - Yuhang Che, Allison M. Okamura, Dorsa Sadigh:
Efficient and Trustworthy Social Navigation Via Explicit and Implicit Robot-Human Communication. - Qingzhu Gao, Humberto González, Parvez Ahammad:
MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry. - Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson:
Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large data sets. - Fuad Noman
Short-segment heart sound classification using an ensemble of deep convolutional neural networks. - Yunpeng Chen, Yannis Kalantidis, Jianshu Li, Shuicheng Yan, Jiashi Feng:
A2-Nets: Double Attention Networks. - Guanhong Tao, Shiqing Ma, Yingqi Liu, Xiangyu Zhang:
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples. - Kar-Ann Toh, Zhiping Lin, Zhengguo Li, Beom-Seok Oh, Lei Sun:
Gradient-Free Learning Based on the Kernel and the Range Space. - Matthew Riemer, Miao Liu, Gerald Tesauro:
Learning Abstract Options. - Thiago Elias B. Cunha, Rodrigo C. de Lamare:
Study of Joint Automatic Gain Control and MMSE Receiver Design Techniques for Quantized Multiuser Multiple-Antenna Systems. - Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Steeven Janny, Christian Gagné:
A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks. - Matthew Peveler, Jeffrey O. Kephart, Hui Su:
Reagent: Converting Ordinary Webpages into Interactive Software Agents. - Chinmayananda Arunachala, B. Sundar Rajan:
Groupcast Index Coding Problem: Joint Extensions. - Ting Chen, Xiaohua Zhai, Neil Houlsby:
Self-Supervised GAN to Counter Forgetting. - Sanjana Vijayshankar, Victor Purba, Peter J. Seiler, Sairaj V. Dhople:
Reduced-order Aggregate Dynamical Model for Wind Farms. - Shou-Yu Chen, Guangsheng Chen, Wei-Peng Jing:
A Miniaturized Semantic Segmentation Method for Remote Sensing Image. - Aashish Kolluri, Ivica Nikolic, Ilya Sergey, Aquinas Hobor, Prateek Saxena:
Exploiting The Laws of Order in Smart Contracts. - Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, Jian Yin:
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis. - Genta Indra Winata, Masayu Leylia Khodra:
Handling Imbalanced Dataset in Multi-label Text Categorization using Bagging and Adaptive Boosting. - Tianyi Chen, Sergio Barbarossa, Xin Wang, Georgios B. Giannakis, Zhi-Li Zhang:
Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability. - Myoung Jin Nam, David J. Greaves, Elias Athanasopoulos, Periklis Akritidis:
FRAMER: A Cache-friendly Software-based Capability Model. - David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Alicia Troncoso, César Hervás-Martínez:
Time series clustering based on the characterisation of segment typologies. - Mahdi Imanparast, Seyed Naser Hashemi:
Better approximation algorithm for point-set diameter. - Dileep Bapatla, Shankar Prakriya:
Performance of Energy-Buffer Aided Incremental Relaying in Cooperative Networks. - Sandro M. Reia, André C. Amado, José F. Fontanari:
Agent-based models of collective intelligence. - Frank Hafner, Amran Bhuiyan, Julian F. P. Kooij, Eric Granger:
A Cross-Modal Distillation Network for Person Re-identification in RGB-Depth. - Osvaldo Skliar, Sherry Gapper, Ricardo E. Monge
A New Cryptographic Approach: Iterated Random Encryption (IRE). - Utsav Garg, Viraj Prabhu, Deshraj Yadav, Ram Ramrakhya, Harsh Agrawal
Fabrik: An Online Collaborative Neural Network Editor. - Andriy Myronenko:
3D MRI brain tumor segmentation using autoencoder regularization. - Sabine Bertram, Co-Pierre Georg:
A privacy-preserving system for data ownership using blockchain and distributed databases. - Kshitij Gajjar
Minimizing Branching Vertices in Distance-preserving Subgraphs. - Tsubasa Tagami, Hiroki Ouchi, Hiroki Asano, Kazuaki Hanawa, Kaori Uchiyama, Kaito Suzuki, Kentaro Inui, Atsushi Komiya, Atsuo Fujimura, Hitofumi Yanai, Ryo Yamashita, Akinori Machino:
Suspicious News Detection Using Micro Blog Text. - Joberto S. B. Martins
Towards Smart City Innovation Under the Perspective of Software-Defined Networking, Artificial Intelligence and Big Data. - Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski:
A no-regret generalization of hierarchical softmax to extreme multi-label classification. - Yu Chen, Jun He:
Average Convergence Rate of Evolutionary Algorithms II: Continuous Optimization. - M. H. van Emden:
Beyond Structured Programming. - Daniel Kraft:
Resource Control in P2P Cryptocurrency Networks. - Pradeep Kr. Banerjee, Guido Montúfar:
The Variational Deficiency Bottleneck. - Siyi Hu, Luca Carlone:
Accelerated Inference in Markov Random Fields via Smooth Riemannian Optimization. - Dalton S. Rosario, Anthony Ortiz, Olac Fuentes:
3D Terrain Segmentation in the SWIR Spectrum. - Pierre-Yves Lajoie, Siyi Hu, Giovanni Beltrame, Luca Carlone:
Modeling Perceptual Aliasing in SLAM via Discrete-Continuous Graphical Models. - Sankarshan Damle
Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding. - Myriam Tami, Marianne Clausel, Emilie Devijver, Adrien Dulac, Éric Gaussier, Stefan Janaqi, Mériam Chèbre:
Dealing with Uncertain Inputs in Regression Trees. - Julien Baste, Didem Gözüpek, Mordechai Shalom, Dimitrios M. Thilikos:
Minimum Reload Cost Graph Factors. - Jakob N. Foerster, Christian A. Schröder de Witt, Gregory Farquhar, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson:
Multi-Agent Common Knowledge Reinforcement Learning. - Noah Giansiracusa, Cameron Ricciardi:
Computational geometry and the U.S. Supreme Court. - Xiaoxue Zhang, Nanhuan Mi, Xin He, Panlong Yang, Haohua Du, Jiahui Hou, Peng-Jun Wan:
On Measurement of the Spatio-Frequency Property of OFDM Backscattering. - Matthew Tancik, Guy Satat, Ramesh Raskar:
Flash Photography for Data-Driven Hidden Scene Recovery. - Andrew Hundt, Varun Jain, Chris Paxton, Gregory D. Hager:
Training Frankenstein's Creature to Stack: HyperTree Architecture Search. - Branko Brkljac, Zeljen Trpovski:
On the role of ML estimation and Bregman divergences in sparse representation of covariance and precision matrices. - Felipe S. Abrahão, Klaus Wehmuth, Artur Ziviani:
An algorithmically random family of MultiAspect Graphs and its topological properties. - Nan Jiang, Yansha Deng, Osvaldo Simeone, Arumugam Nallanathan:
Cooperative Deep Reinforcement Learning for Multiple Groups NB-IoT Networks Optimization. - Hang Gao, Zheng Shou, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang:
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks. - Marian K. Y. Boktor, Ahmad Al-Kabbany, Radwa Khalil, Said E. El-Khamy:
Real-time Action Recognition with Dissimilarity-based Training of Specialized Module Networks. - Safa Meraghni, Labib Sadek Terrissa, Soheyb Ayad, Noureddine Zerhouni, Christophe Varnier:
Post-prognostics decision in Cyber-Physical Systems. - Shikib Mehri, Leonid Sigal:
Middle-Out Decoding. - Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi:
Gaussian Process Prior Variational Autoencoders. - Farzan Farnia, David Tse:
A Convex Duality Framework for GANs. - Riku Arakawa, Sosuke Kobayashi, Yuya Unno, Yuta Tsuboi, Shin-ichi Maeda:
DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback. - Liwei Wang, Lunjia Hu, Jiayuan Gu, Yue Wu, Zhiqiang Hu, Kun He, John E. Hopcroft:
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation. - Yi Hao, Alon Orlitsky, Venkatadheeraj Pichapati:
On Learning Markov Chains. - Chen Yu, Jianshu Chen, Jie Zhong, Ji Liu:
P-MCGS: Parallel Monte Carlo Acyclic Graph Search. - Xianhua Niu, Chaoping Xing, Chen Yuan:
Asymptotic Gilbert-Varshamov bound on Frequency Hopping. - Hao-Hsuan Chang, Hao Song, Yang Yi, Jianzhong Zhang, Haibo He, Lingjia Liu:
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach. - Felipe Grando, Lisandro Zambenedetti Granville, Luís C. Lamb:
Machine Learning in Network Centrality Measures: Tutorial and Outlook. - Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti, Gianluca Francini:
Learning Sparse Neural Networks via Sensitivity-Driven Regularization. - Matthias Springer, Hidehiko Masuhara:
SoaAlloc: A Lock-free Hierarchical Bitmap-based Object Allocator for GPUs. - Vladislav Ostankovich, Geesara Prathap, Ilya Afanasyev:
Towards Human Pulse Rate Estimation from Face Video: Automatic Component Selection and Comparison of Blind Source Separation Methods. - Huda Ibeid, Siping Meng, Oliver Dobon, Luke N. Olson, William Gropp:
Learning with Analytical Models. - ShiJie Sun, Naveed Akhtar, HuanSheng Song, Ajmal Mian, Mubarak Shah:
Deep Affinity Network for Multiple Object Tracking. - Michael Dikshtein, Shlomo Shamai:
Broadcasting Information subject to State Masking. - Karanbir Singh Chahal, Manraj Singh Grover, Kuntal Dey:
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks. - Hiromu Yakura, Jun Sakuma:
Robust Audio Adversarial Example for a Physical Attack. - Haisheng Su, Xu Zhao, Tianwei Lin:
Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization. - Bo Fu, Yi Li, Xiang-Hai Wang:
Image Super-Resolution Using TV Priori Guided Convolutional Network. - Frank Förster, Joe Saunders, Hagen Lehmann, Chrystopher L. Nehaniv:
Robots Learning to Say 'No': Prohibition and Rejective Mechanisms in Acquisition of Linguistic Negation. - Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu:
Discrimination-aware Channel Pruning for Deep Neural Networks. - Kun Qian, Jun Zhou, Fengchao Xiong, Huixin Zhou, Juan Du:
Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter. - Christian Kehl, Wail Mustafa, Jan Kehres, Anders Bjorholm Dahl, Ulrik Lund Olsen:
Multi-Spectral Imaging via Computed Tomography (MUSIC) - Comparing Unsupervised Spectral Segmentations for Material Differentiation. - Ferhat Kuruz, Fatih Temiz, Mehmet Emin Köroglu:
m-adic residue codes over Fq[v]/(vs-v). - Avrim Blum, Suriya Gunasekar, Thodoris Lykouris, Nathan Srebro:
On preserving non-discrimination when combining expert advice. - Luis Remis, Vishakha Gupta-Cledat, Christina R. Strong, Ragaad AlTarawneh:
VDMS: An Efficient Big-Visual-Data Access for Machine Learning Workloads. - Chunwei Tian, Yong Xu, Junqian Wang, Nan Luo, Haizhang Zou:
Enhanced CNN for image denoising. - Stephen Pasteris, Fabio Vitale, Kevin Chan, Shiqiang Wang:
MaxHedge: Maximising a Maximum Online with Theoretical Performance Guarantees. - Shinya Sumikura, Ken Sakurada, Nobuo Kawaguchi, Ryosuke Nakamura:
Scale Estimation of Monocular SfM for a Multi-modal Stereo Camera. - Wenbo Ren, Jia Liu, Ness B. Shroff:
Exploring k out of Top ρ Fraction of Arms in Stochastic Bandits. - Bernhard Haeupler, Aviad Rubinstein, Amirbehshad Shahrasbi:
Near-Linear Time Insertion-Deletion Codes and (1+ε)-Approximating Edit Distance via Indexing. - John Vilk, Emery D. Berger, James Mickens, Mark Marron:
McFly: Time-Travel Debugging for the Web. - Erik M. Lindgren, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath:
Experimental Design for Cost-Aware Learning of Causal Graphs. - Arijit Patra:
Sequential anatomy localization in fetal echocardiography videos. - Jinwook Lee:
The Chain of Antichains - Box Protocol: the Dual-Blockchain and a Stablecoin. - Yanyao Shen, Sujay Sanghavi:
Iteratively Learning from the Best. - Yanan Sun, Bing Xue, Mengjie Zhang:
Automatically Evolving CNN Architectures Based on Blocks. - Richard Yuanzhe Pang, Kevin Gimpel:
Learning Criteria and Evaluation Metrics for Textual Transfer between Non-Parallel Corpora. - Huda Ibeid, Luke N. Olson, William Gropp:
FFT, FMM, and Multigrid on the Road to Exascale: performance challenges and opportunities. - Matthias Geihs, Johannes Buchmann:
ELSA: Efficient Long-Term Secure Storage of Large Datasets. - Hila Gonen, Yoav Goldberg:
Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training. - Nima Anari, Constantinos Daskalakis, Wolfgang Maass, Christos H. Papadimitriou, Amin Saberi, Santosh S. Vempala:
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons. - Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Accurate, Efficient and Scalable Graph Embedding. - Aamir Mahmood, M. M. Aftab Hossain, Cicek Cavdar, Mikael Gidlund:
Energy-Reliability Aware Link Optimization for Battery-Powered IoT Devices with Non-Ideal Power Amplifiers. - Oscar Karnalim, Lisan Sulistiani:
Dynamic Thresholding Mechanisms for IR-Based Filtering in Efficient Source Code Plagiarism Detection. - Shanshan Wu, Sujay Sanghavi, Alexandros G. Dimakis:
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models. - Mark Hamilton:
Semi-Supervised Translation with MMD Networks. - Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi:
Mean-field theory of graph neural networks in graph partitioning. - Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro:
Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference. - Nhat Ho, Viet Huynh, Dinh Q. Phung, Michael I. Jordan:
Probabilistic Multilevel Clustering via Composite Transportation Distance. - Dong Yin, Kannan Ramchandran, Peter L. Bartlett:
Rademacher Complexity for Adversarially Robust Generalization. - Seonghyeon Nam, Yunji Kim, Seon Joo Kim:
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language. - Christopher F. Lehnert, Chris McCool, Inkyu Sa, Tristan Perez:
A Sweet Pepper Harvesting Robot for Protected Cropping Environments. - Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang:
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. - Shantanu Shahane, Narayana R. Aluru, Surya Pratap Vanka:
Uncertainty Quantification in Three Dimensional Natural Convection using Polynomial Chaos Expansion and Deep Neural Networks. - Rahul Shivnarayan Mishra, Tushar Semwal, Shivashankar B. Nair:
A Distributed Epigenetic Shape Formation and Regeneration Algorithm for a Swarm of Robots. - Satvik Jain, Arun Balaji Buduru, Anshuman Chhabra:
An approach to predictively securing critical cloud infrastructures through probabilistic modeling. - Yu-Han Shen, Ke-Xin He, Wei-Qiang Zhang:
Learning How to Listen: A Temporal-Frequential Attention Model for Sound Event Detection. - Dilin Wang, Hao Liu, Qiang Liu:
Variational Inference with Tail-adaptive f-Divergence. - Yue Zhang, Fang Tian, Bin Song, Xiaojiang Du:
Social Vehicle Swarms: A Novel Perspective on Social-aware Vehicular Communication Architecture. - Shubham Agarwal
A Knowledge-Grounded Multimodal Search-Based Conversational Agent. - Shubham Agarwal
Improving Context Modelling in Multimodal Dialogue Generation. - Marc Jourdan, Sebastien Blandin, Laura Wynter, Pralhad Deshpande:
Characterizing Entities in the Bitcoin Blockchain. - Abolfazl Hashemi, Haris Vikalo:
Evolutionary Self-Expressive Models for Subspace Clustering. - Ngoc-Tu Nguyen, Zhi-Li Zhang:
R-BBG2: Recursive Bipartition of Bi-connected Graphs. - Aaron Berk, Yaniv Plan, Özgür Yilmaz:
Parameter instability regimes for sparse proximal denoising programs. - Chuangqiang Hu, Shudi Yang, Stephen S.-T. Yau:
Complete Weight Distribution and MacWilliams Identities for Asymmetric Quantum Codes. - Hanzhou Wu:
Feature Bagging for Steganographer Identification. - Anirban Laha, Saneem A. Chemmengath, Priyanka Agrawal, Mitesh M. Khapra, Karthik Sankaranarayanan, Harish G. Ramaswamy:
On Controllable Sparse Alternatives to Softmax. - Ran Chen, Cyril Cohen, Jean-Jacques Lévy, Stephan Merz, Laurent Théry:
Formal Proofs of Tarjan's Algorithm in Why3, Coq, and Isabelle. - Lianghua Huang, Xin Zhao, Kaiqi Huang:
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild. - Eric L. Ferguson, Stefan B. Williams, Craig T. Jin:
Improved multipath time delay estimation using cepstrum subtraction. - Zhaojian Wang, Shengwei Mei, Feng Liu, Peng Yi, Ming Cao:
Distributed Control of Hybrid AC/DC Microgrids: from Synchronous to Asynchronous Algorithms. - Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu:
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing. - Zhe Yuan, Zhuoran Lyu, Jiwei Li, Xi Zhou:
Improved hybrid CTC-Attention model for speech recognition. - Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang:
Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling. - Martin R. Pfaller, Maria Cruz Varona, Johannes Lang, Cristóbal Bertoglio, Wolfgang A. Wall:
Parametric model order reduction and its application to inverse analysis of large nonlinear coupled cardiac problems. - Anders Arpteg, Björn Brinne, Luka Crnkovic-Friis, Jan Bosch:
Software Engineering Challenges of Deep Learning. - Philipp Morgner, Zinaida Benenson:
Exploring Security Economics in IoT Standardization Efforts. - Mikhail Y. R. Gadelha, Enrico Steffinlongo, Lucas C. Cordeiro, Bernd Fischer, Denis A. Nicole:
SMT-Based Refutation of Spurious Bug Reports in the Clang Static Analyzer. - Marius Mosbach, Maksym Andriushchenko, Thomas Alexander Trost, Matthias Hein, Dietrich Klakow:
Logit Pairing Methods Can Fool Gradient-Based Attacks. - Ahmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Antonios Perperidis, Kevin Dhaliwal, Steve McLaughlin:
Patch-based Sparse Representation For Bacterial Detection. - Martin Aumüller, Nikolaj Hass:
Simple and Fast BlockQuicksort using Lomuto's Partitioning Scheme. - Bajibabu Bollepalli, Lauri Juvela, Paavo Alku:
Speaking style adaptation in Text-To-Speech synthesis using Sequence-to-sequence models with attention. - Christoffer Fougstedt, Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva, Per Larsson-Edefors:
Energy-Efficient Soft-Assisted Product Decoders. - Massimiliano Morrelli:
Studio e confronto delle strutture di Apache Spark. - Zhenshen Qu, Jianxiong Shen
PartsNet: A Unified Deep Network for Automotive Engine Precision Parts Defect Detection. - Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song:
On the Convergence Rate of Training Recurrent Neural Networks. - Bart M. Doekemeijer, Paul A. Fleming, Jan-Willem van Wingerden:
A tutorial on the synthesis and validation of a closed-loop wind farm controller using a steady-state surrogate model. - Timothée Lesort
Marginal Replay vs Conditional Replay for Continual Learning. - André Frochaux, Lucas Heimberg:
An Optimal Construction for the Barthelmann-Schwentick Normal Form on Classes of Structures of Bounded Degree. - Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Learning to Teach with Dynamic Loss Functions. - Emily Alsentzer, Anne Kim:
Extractive Summarization of EHR Discharge Notes. - Davi Castro-Silva, Eric Gourdin:
A study on load-balanced variants of the bin packing problem. - Shelan S. Jeawak, Christopher B. Jones, Steven Schockaert:
Embedding Geographic Locations for Modelling the Natural Environment using Flickr Tags and Structured Data. - Anna Engelmann, Admela Jukan, Rastin Pries:
On Coding for Reliable VNF Chaining in DCNs. - Sonam Damani, Nitya Raviprakash, Umang Gupta, Ankush Chatterjee, Meghana Joshi, Khyatti Gupta, Kedhar Nath Narahari, Puneet Agrawal, Manoj Kumar Chinnakotla, Sneha Magapu, Abhishek Mathur:
Ruuh: A Deep Learning Based Conversational Social Agent. - Robert E. Kent:
The FOLE Table. - J. J. P. Veerman:
Symmetry and Stability of Homogenuous Flocks. A Position Paper. - Lester Beltran, Suzette Geriente:
Quantum Entanglement in Corpuses of Documents. - Helen Jiahe Zhao, Jiamou Liu:
Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering. - Fidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Tsang Ing Ren, Jorge J. G. Leandro, Ricardo Nishihara:
Burst ranking for blind multi-image deblurring. - Pengfei Xu, Jiaheng Lu:
Efficient Taxonomic Similarity Joins with Adaptive Overlap Constraint. - Boyi Hou, Qun Chen, Yanyan Wang, Ping Zhong, Murtadha H. M. Ahmed, Zhaoqiang Chen, Zhanhuai Li:
Gradual Machine Learning for Entity Resolution. - Ngoc-Tu Nguyen, Bing-Hong Liu, Shao-I Chu, Hao-Zhe Weng:
Challenges, Designs, and Performances of a Distributed Algorithm for Minimum-Latency of Data-Aggregation in Multi-Channel WSNs. - Wenzhi Fu, Jianlei Yang, Pengcheng Dai, Yiran Chen, Weisheng Zhao:
A Scalable Pipelined Dataflow Accelerator for Object Region Proposals on FPGA Platform. - Andrés Marafioti, Nathanaël Perraudin, Nicki Holighaus, Piotr Majdak:
A context encoder for audio inpainting. - Thiago Santos, Sebastiao Xavier:
A Convergence indicator for Multi-Objective Optimisation Algorithms. - (Withdrawn) Unsupervised Data Selection for Supervised Learning.
- Gang Yang, Jinlu Liu, Xirong Li:
Imagination Based Sample Construction for Zero-Shot Learning. - Hanwen Wu, Hongwei Xi:
Implementing Linking in Multiparty Sessions (Extended Abstract). - Morteza Varasteh, Enrico Piovano, Bruno Clerckx:
A Learning Approach To Wireless Information and Power Transfer Signal and System Design. - Matthew K. Matlock, Arghya Datta, Na Le Dang, Kevin Jiang, S. Joshua Swamidass:
Deep learning long-range information in undirected graphs with wave networks. - Seungryong Kim, Stephen Lin, Sangryul Jeon, Dongbo Min, Kwanghoon Sohn:
Recurrent Transformer Networks for Semantic Correspondence. - Pranav Shyam, Wojciech Jaskowski, Faustino Gomez:
Model-Based Active Exploration. - Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Victor Adrian Prisacariu, Luigi Di Stefano, Philip H. S. Torr:
Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation Cascade. - Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro:
Median activation functions for graph neural networks. - Florent Guinot, Marie Szafranski, Julien Chiquet, Anouk Zancarini, Christine Le Signor, Christophe Mougel, Christophe Ambroise:
Fast Computation of Genome-Metagenome Interaction Effects. - Lea Müller, Maha Shadaydeh, Martin Thümmel, Thomas Kessler, Dana Schneider
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality. - Hemant Gehlot, Harsha Honnappa, Satish V. Ukkusuri:
An optimal control approach of within day congestion pricing for stochastic transportation networks. - Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, James R. Clough, Gastão Cruz, Aurélien Bustin, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King:
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. - Francesc Lluís, Jordi Pons, Xavier Serra:
End-to-end music source separation: is it possible in the waveform domain? - Kwang-Sung Jun, Lihong Li, Yuzhe Ma, Xiaojin Zhu:
Adversarial Attacks on Stochastic Bandits. - Hongwei Xi, Dengping Zhu:
To Memory Safety through Proofs. - Feng Zheng, Xing Sun, Xinyang Jiang, Xiaowei Guo, Zongqiao Yu, Feiyue Huang:
A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training. - Miguel Picallo Cruz, Adolfo Anta, Bart De Schutter:
Efficient convex cptimization for optimal PMU placement in large distribution grids. - Quentin Grail, Julien Perez:
ReviewQA: a relational aspect-based opinion reading dataset. - Rahul Shome, Kiril Solovey, Jingjin Yu, Kostas E. Bekris, Dan Halperin:
Fast, High-Quality Dual-Arm Rearrangement in Synchronous, Monotone Tabletop Setups. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Francesco Rosati:
The determinants of academic career advancement: evidence from Italy. - Ashok Krishnan K. S.
Quality-of-Service in Multihop Wireless Networks: Diffusion Approximation. - Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang:
A Comparative Measurement Study of Deep Learning as a Service Framework. - Alberto Fachechi, Elena Agliari, Adriano Barra:
Dreaming neural networks: forgetting spurious memories and reinforcing pure ones. - Pei Cao, Qi Shuai, Jiong Tang:
Leveraging Gaussian Process and Voting-Empowered Many-Objective Evaluation for Fault Identification. - Sebastian Bernhard, Jürgen Adamy:
Optimal Output Regulation for Square, Over-Actuated and Under-Actuated Linear Systems. - Arnab Kumar Mondal, Jose Dolz, Christian Desrosiers:
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning. - Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck:
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. - Jesse Beisegel, Carolin Denkert, Ekkehard Köhler, Matjaz Krnc, Nevena Pivac, Robert Scheffler, Martin Strehler:
On the End-Vertex Problem of Graph Searches. - Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou, Dimitrios Kritharidis, Alexandros Katsiotis, Georgia D. Ntouni, Joonas Kokkoniemi, Janne J. Lehtomäki, Markku J. Juntti, Dessy Yankova, Ahmed Mokhtar, Jean-Charles Point, José Machado, Robert Elschner, Colja Schubert, Thomas Merkle, Ricardo Ferreira, Francisco Rodrigues, José Lima:
Wireless Terahertz System Architectures for Networks Beyond 5G. - Zhaojiang Lin, Genta Indra Winata, Pascale Fung:
Learning Comment Generation by Leveraging User-Generated Data. - Michael K. Wilkinson, Charles E. Dickerson, Siyuan Ji
Concepts of Architecture, Structure and System. - Ieva Vasiljeva, Sorcha Gilroy, Adam Lopez:
The problem with probabilistic DAG automata for semantic graphs. - Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution. - Matt DeVos, Kathryn Nurse:
A Maximum Linear Arrangement Problem on Directed Graphs. - Richard E. Harang, Ethan M. Rudd:
Principled Uncertainty Estimation for Deep Neural Networks. - Guodong Zhang, Chaoqi Wang, Bowen Xu, Roger B. Grosse:
Three Mechanisms of Weight Decay Regularization. - Charles Packer, Katelyn Gao, Jernej Kos, Philipp Krähenbühl, Vladlen Koltun, Dawn Song:
Assessing Generalization in Deep Reinforcement Learning. - David Eriksson, Kun Dong, Eric Hans Lee, David Bindel, Andrew Gordon Wilson:
Scaling Gaussian Process Regression with Derivatives. - Stéphanie Guérit, Siddharth Sivankutty, Camille Scotté, John Aldo Lee, Hervé Rigneault, Laurent Jacques:
Compressive Sampling Approach for Image Acquisition with Lensless Endoscope. - Sho Yaida:
Fluctuation-dissipation relations for stochastic gradient descent. - Anupama Govinda Raj, James H. McClellan:
Single Snapshot Super-Resolution DOA Estimation for Arbitrary Array Geometries. - Salim Ali Altug, Yilei Chen:
A Candidate Group with Infeasible Inversion. - Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio:
Predicting the Generalization Gap in Deep Networks with Margin Distributions. - Evgeny Andriyash, Arash Vahdat, William G. Macready:
Improved Gradient-Based Optimization Over Discrete Distributions. - Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado:
Resilient Structural Stabilizability of Undirected Networks. - Jacky C. K. Chow, Derek D. Lichti, Kathleen Ang, Gregor Kuntze, Gulshan B. Sharma, Janet Lenore Ronsky:
Modelling Errors in X-ray Fluoroscopic Imaging Systems Using Photogrammetric Bundle Adjustment With a Data-Driven Self-Calibration Approach. - Christian Steglich:
Why echo chambers form and network interventions fail: Selection outpaces influence in dynamic networks. - Débora Chan, Andrea A. Rey, Juliana Gambini, Alejandro C. Frery:
Parameter Estimation for the Single-Look G0 Distribution. - Shogo Seki, Hirokazu Kameoka, Li Li, Tomoki Toda, Kazuya Takeda:
Generalized Multichannel Variational Autoencoder for Underdetermined Source Separation. - Luiz M. R. Gadelha Jr., Pedro C. de Siracusa, Artur Ziviani, Eduardo Couto Dalcin, Helen Michelle Affe, Marinez Ferreira de Siqueira, Luís Alexandre Estevão da Silva, Douglas Adriano Augusto, Eduardo Krempser, Marcia Chame, Raquel Lopes Costa, Pedro Milet Meirelles, Fabiano L. Thompson:
A Survey of e-Biodiversity: Concepts, Practices, and Challenges. - Shuo Han:
Computational Convergence Analysis of Distributed Gradient Descent for Smooth Convex Objective Functions. - Michele Iodice, William Frier, James Wilcox, Benjamin Long, Orestis Georgiou:
Pulsed Schlieren Imaging of Ultrasonic Haptics and Levitation using Phased Arrays. - Fred (Farbod) Roosta, Yang Liu, Peng Xu, Michael W. Mahoney:
Newton-MR: Newton's Method Without Smoothness or Convexity. - Xiaodong Li, Yudong Chen, Jiaming Xu:
Convex Relaxation Methods for Community Detection. - Alberto Bietti, Grégoire Mialon, Julien Mairal:
On Regularization and Robustness of Deep Neural Networks. - Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering:
Deep Quality-Value (DQV) Learning. - Thomas Häner, Torsten Hoefler, Matthias Troyer:
Using Hoare logic for quantum circuit optimization. - Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe, Aditya Shah, Aishwary Gagrani, Anant Lal:
Vector Quantized Spectral Clustering applied to Soybean Whole Genome Sequences. - Marton Havasi, Robert Peharz, José Miguel Hernández-Lobato:
Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters. - Srinivasan Arunachalam, Sourav Chakraborty, Troy Lee, Ronald de Wolf:
Two new results about quantum exact learning. - Jérémie Brieussel, Thibault Godin, Bijan Mohammadi:
Numerical upper bounds on growth of automata groups. - Qi Deng, Yi Cheng, Guanghui Lan:
Optimal Adaptive and Accelerated Stochastic Gradient Descent. - Theofanis Karaletsos, Peter Dayan, Zoubin Ghahramani:
Probabilistic Meta-Representations Of Neural Networks. - Giuseppe Toscani:
The information-theoretic meaning of Gagliardo-Nirenberg type inequalities. - Danilo Jimenez Rezende, Fabio Viola:
Taming VAEs. - Sayed Abdullah Sadat, Mostafa Sahraei-Ardakani:
Reducing the Risk of Cascading Failures via Transmission Switching. - Jiachun Pan, Wenyi Zhang:
Identifying Rumor Sources Using Dominant Eigenvalue of Nonbacktracking Matrix. - Yinan Li, Jeroen Zuiddam:
Quantum asymptotic spectra of graphs and non-commutative graphs, and quantum Shannon capacities. - Veronika Rocková, Enakshi Saha:
On Theory for BART. - Florian Hirschberger, Dennis Forster, Jörg Lücke:
Accelerated Training of Large-Scale Gaussian Mixtures by a Merger of Sublinear Approaches. - Anita Liebenau, Marcin Pilipczuk, Paul D. Seymour, Sophie Spirkl:
Caterpillars in Erdős-Hajnal. - Xiang Li
Network Modeling and Pathway Inference from Incomplete Data ("PathInf"). - Albert Fannjiang:
Raster Grid Pathology and Other Ambiguities in Blind Ptychography. - Sarthak Chatterjee
Dealing with State Estimation in Fractional-Order Systems under Artifacts. - Andrey Kupavskii:
Degree versions of theorems on intersecting families via stability. - Jesús Moliner, Irene Epifanio:
Robust multivariate and functional archetypal analysis with application to financial time series analysis. - Andrey Kupavskii:
Structure and properties of large intersecting families. - Thomas Bellitto, Arnaud Pêcher, Antoine Sédillot:
On the density of sets of the Euclidean plane avoiding distance 1. - Luc Devroye, Tommy Reddad:
On the discovery of the seed in uniform attachment trees. - Diego C. Nascimento, Anderson L. Ara, Francisco Louzada-Neto:
Feature Selection Approach with Missing Values Conducted for Statistical Learning: A Case Study of Entrepreneurship Survival Dataset. - Jinyin Chen, Ziqiang Shi, Yangyang Wu, Xuanheng Xu, Haibin Zheng:
Link Prediction Adversarial Attack. - Jae-Baek Lee, Jonathan A. Noel, Mark H. Siggers:
Reconfiguring Graph Homomorphisms on the Sphere. - Sergei Kiselev, Andrey Kupavskii:
Sharp bounds for the chromatic number of random Kneser graphs. - Andreas Grimmer, Medina Hamidovic, Werner Haselmayr, Robert Wille:
Advanced Simulation of Droplet Microfluidics. - Li Yu:
A quantum homomorphic encryption scheme for polynomial-sized circuits. - Mohammed Khwaja, Melpomeni Kalofonou, Chris Toumazou:
A Deep Autoencoder System for Differentiation of Cancer Types Based on DNA Methylation State. - Giacomo Rapisardi, Alex Arenas, Guido Caldarelli, Giulio Cimini:
Fragility and anomalous susceptibility of weakly interacting networks. - Adrian Wills, Carl Jidling, Thomas B. Schön:
A fast quasi-Newton-type method for large-scale stochastic optimisation. - Nelson Antunes
Sampling-based Estimation of In-degree Distribution with Applications to Directed Complex Networks. - Hyunsun Choi, Eric Jang:
Generative Ensembles for Robust Anomaly Detection. - Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
Attention Models with Random Features for Multi-layered Graph Embeddings. - Ramzan Umarov, Hiroyuki Kuwahara, Yu Li, Xin Gao, Victor V. Solovyev:
PromID: human promoter prediction by deep learning. - Roland Brochard, Jérémy Lebreton, Cyril Robin, Keyvan Kanani, Grégory Jonniaux, Aurore Masson, Noela Despré, Ahmad Berjaoui:
Scientific image rendering for space scenes with the SurRender software. - Raouf Dridi, Hedayat Alghassi, Sridhar R. Tayur:
A Novel Algebraic Geometry Compiling Framework for Adiabatic Quantum Computations. - João Caldeira
DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks. - Patrick Schwab, Walter Karlen:
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data. - B. Yuan, Y. J. Tan, Maruti Kumar Mudunuru, O. E. Marcillo, A. A. Delorey, P. M. Roberts, J. D. Webster, C. N. L. Gammans, Satish Karra, G. D. Guthrie, P. A. Johnson:
Using Machine Learning to Discern Eruption in Noisy Environments: A Case Study using CO2-driven Cold-Water Geyser in Chimayo, New Mexico. - Daoud Burghal, Rui Wang, Andreas F. Molisch:
Band Assignment in Dual Band Systems: A Learning-based Approach. - Andee Kaplan, Brenda Betancourt, Rebecca C. Steorts:
Posterior Prototyping: Bridging the Gap between Bayesian Record Linkage and Regression. - Lawrence M. Murray, Thomas B. Schön:
Automated learning with a probabilistic programming language: Birch. - Clayton Scott:
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation. - Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams:
Moment-Sum-Of-Squares Approach For Fast Risk Estimation In Uncertain Environments. - Maria V. Vasilyeva, Aleksey Tyrylgin:
Machine learning for accelerating effective property prediction for poroelasticity problem in stochastic media. - Md Salman Nazir, Ian A. Hiskens, Andrey Bernstein, Emiliano Dall'Anese:
Inner Approximation of Minkowski Sums: A Union-Based Approach and Applications to Aggregated Energy Resources. - Chihiro Watanabe:
Interpreting Layered Neural Networks via Hierarchical Modular Representation. - Evan Berkowitz
Simulating the weak death of the neutron in a femtoscale universe with near-Exascale computing. - Florian Boßmann, Jianwei Ma:
Enhanced image approximation using shifted rank-1 reconstruction. - Hiroki Kato, Hiroyuki Hanada, Ichiro Takeuchi:
Learning sparse optimal rule fit by safe screening. - Han Peters, Guus Regts:
Location of zeros for the partition function of the Ising model on bounded degree graphs. - Philippe C. Besse, Céline Castets-Renard, Aurélien Garivier, Jean-Michel Loubes:
Can everyday AI be ethical. Fairness of Machine Learning Algorithms. - Yuma Fujimoto, Kunihiko Kaneko:
Functional Dynamics by Intention Recognition in Iterated Games. - Juho Lee, Lancelot F. James, Seungjin Choi, François Caron:
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. - Mayank Meghwanshi, Pratik Jawanpuria, Anoop Kunchukuttan, Hiroyuki Kasai, Bamdev Mishra:
McTorch, a manifold optimization library for deep learning. - Orlando Romero, Sarthak Chatterjee
Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory. - Jinyoup Ahn, Byonghyo Shim, Kwang Bok Lee:
EP-based Joint Active User Detection and Channel Estimation for Massive Machine-Type Communications. - Chieh-Fang Teng, Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu Wu:
Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading. - Chao Gao, Jiyi Liu, Yuan Yao, Weizhi Zhu:
Robust Estimation and Generative Adversarial Nets. - Hassan Rafique, Mingrui Liu, Qihang Lin, Tianbao Yang:
Non-Convex Min-Max Optimization: Provable Algorithms and Applications in Machine Learning. - Binh Van Nguyen, Minh Tuan Nguyen, Hyoyoung Jung, Kiseon Kim:
Designing Anti-Jamming Receivers for NR-DCSK Systems Utilizing ICA, WPD, and VMD Methods. - Dirk Surmann, Uwe Ligges, Claus Weihs:
Infill Criterion for Multimodal Model-Based Optimisation. - Adriano Soares Koshiyama, Nick Firoozye
A Machine Learning-based Recommendation System for Swaptions Strategies. - Christian Borgs, Jennifer T. Chayes, Adam D. Smith, Ilias Zadik:
Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation. - Jingyu He, Saar Yalov, P. Richard Hahn:
Accelerated Bayesian Additive Regression Trees. - Man Zhou, Qian Wang, Jingxiao Yang, Qi Li, Feng Xiao, Zhibo Wang, Xiaofeng Chen:
PatternListener: Cracking Android Pattern Lock Using Acoustic Signals. - Lotte Bransen, Jan Van Haaren:
Measuring Football Players' On-the-ball Contributions From Passes During Games. - Anas Barakat, Pascal Bianchi:
Convergence of the ADAM algorithm from a Dynamical System Viewpoint. - Hanyuan Hang, Ingo Steinwart:
Optimal Learning with Anisotropic Gaussian SVMs. - Selim Kalayci, Çagatay Demiralp, Zeynep H. Gümüs:
Developing Design Guidelines for Precision Oncology Reports. - Juho Piironen, Markus Paasiniemi, Aki Vehtari:
Projective Inference in High-dimensional Problems: Prediction and Feature Selection. - Angelia Nedic, Alex Olshevsky, César A. Uribe:
Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints. - (Withdrawn) A note on spanoid rank.
- Xuan Liu, Jie Fu:
Compositional planning in Markov decision processes: Temporal abstraction meets generalized logic composition. - Gunwoong Park:
High-Dimensional Poisson DAG Model Learning Using ε1-Regularized Regression. - Antonio Orvieto, Aurélien Lucchi:
Continuous-time Models for Stochastic Optimization Algorithms. - Shuai Li, Tor Lattimore, Csaba Szepesvári:
Online Learning to Rank with Features. - Shrikant Venkataramani, Paris Smaragdis:
End-to-end Networks for Supervised Single-channel Speech Separation. - Ruzhang Zhao, Pengyu Hong, Jun S. Liu:
IMMIGRATE: A Margin-based Feature Selection Method with Interaction Terms. - Hadrien Hendrikx, Laurent Massoulié, Francis R. Bach:
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives. - Josef Tkadlec, Andreas Pavlogiannis, Krishnendu Chatterjee, Martin A. Nowak:
Fixation probability and fixation time in structured populations. - Dengwang Tang, Vijay G. Subramanian:
Balanced Allocation with Random Walk Based Sampling. - Markus Brede, Valerio Restocchi, Sebastian Stein:
Effects of Time Horizons on Influence Maximization in the Voter Dynamics. - Alberto Del Pia, Santanu S. Dey, Robert Weismantel:
Subset selection in sparse matrices. - Alberto Del Pia:
Subdeterminants and Concave Integer Quadratic Programming. - Dmitry Molchanov, Valery Kharitonov, Artem Sobolev, Dmitry P. Vetrov:
Doubly Semi-Implicit Variational Inference. - Tiep Huu Vu, Lam Nguyen, Vishal Monga:
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning Techniques. - Yue Xing
Statistical Optimality of Interpolated Nearest Neighbor Algorithms. - Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré:
Training Complex Models with Multi-Task Weak Supervision. - Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung:
Cross-Subject Transfer Learning on High-Speed Steady-State Visual Evoked Potential-Based Brain-Computer Interface. - Rozhin Eskandarpour, Amin Khodaei, Aleksi Paaso, Nayeem Mohammad Abdullah:
Artificial Intelligence Assisted Power Grid Hardening in Response to Extreme Weather Events. - Onur Atan, William R. Zame, Mihaela van der Schaar:
Adaptive Clinical Trials: Exploiting Sequential Patient Recruitment and Allocation. - Nathan Kallus, Xiaojie Mao, Angela Zhou:
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding. - Dianbin Bao, Kisung You, Lizhen Lin:
Network Distance Based on Laplacian Flows on Graphs. - Patrick Hall:
On the Art and Science of Machine Learning Explanations. - Baihan Lin
Adaptive Independence Tests with Geo-Topological Transformation. - Andrea Montanari, Feng Ruan, Jun Yan:
Adapting to Unknown Noise Distribution in Matrix Denoising. - Atrayee Majumder, Rogers Mathew:
Local Boxicity, Local Dimension, and Maximum Degree. - Devansh Arpit, Bhargav Kanuparthi, Giancarlo Kerg, Nan Rosemary Ke, Ioannis Mitliagkas, Yoshua Bengio:
h-detach: Modifying the LSTM Gradient Towards Better Optimization. - Peter Schulam, Suchi Saria:
Discretizing Logged Interaction Data Biases Learning for Decision-Making. - Stanislav Tsepa, Maxim Panov:
Constructing Graph Node Embeddings via Discrimination of Similarity Distributions. - Casey C. Bennett:
Artificial Intelligence for Diabetes Case Management: The Intersection of Physical and Mental Health. - Hashim A. Hashim, Lyndon J. Brown, Kenneth A. McIsaac:
Nonlinear Stochastic Attitude Filters on the Special Orthogonal Group 3: Ito and Stratonovich. - Ashkan Esmaeili, Kayhan Behdin, Sina Al-E.-Mohammad, Farokh Marvasti:
Recovering Quantized Data with Missing Information Using Bilinear Factorization and Augmented Lagrangian Method. - Anit Kumar Sahu, Manzil Zaheer, Soummya Kar
Towards Gradient Free and Projection Free Stochastic Optimization. - Hadi Salman, Payman Yadollahpour, Tom Fletcher, Kayhan N. Batmanghelich:
Deep Diffeomorphic Normalizing Flows. - Clemens Schiffer:
TV-regularized CT Reconstruction and Metal Artifact Reduction Using Inequality Constraints with Preconditioning. - Hao-Chiang Shao:
A Coarse-to-Fine Multiscale Mesh Representation and its Applications. - Kunal Das, Arindam Sadhu
Constant Time Quantum search Algorithm Over A Datasets: An Experimental Study Using IBM Q Experience. - Christian Bayer, Benjamin Stemper:
Deep calibration of rough stochastic volatility models. - Arda Aytekin, Martin Biel, Mikael Johansson:
POLO: a POLicy-based Optimization library. - Kumarjit Pathak
Unique Metric for Health Analysis with Optimization of Clustering Activity and Cross Comparison of Results from Different Approach. - Charles Hamesse, Ruibo Tu, Paul Ackermann, Hedvig Kjellström, Cheng Zhang:
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation. - Assya Trofimov, Francis Dutil, Claude Perreault, Sébastien Lemieux, Yoshua Bengio, Joseph Paul Cohen:
Towards the Latent Transcriptome. - Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira:
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability. - Martin Mihelich, Yan Shu:
k-price auctions and Combination auctions. - Tianyang Hu, Zixiang Chen, Hanxi Sun, Jincheng Bai, Mao Ye, Guang Cheng:
Stein Neural Sampler. - Hugo Lhachemi, Robert Shorten:
ISS Property with Respect to Boundary Disturbances for a Class of Riesz-Spectral Boundary Control Systems. - A. Pirker, Wolfgang Dür:
A quantum network stack and protocols for reliable entanglement-based networks. - Carlos A. Alfaro, Sergio L. Perez, Carlos E. Valencia, Marcos C. Vargas:
The equivalence between two classic algorithms for the assignment problem. - Chendi Huang, Yuan Yao:
A Unified Dynamic Approach to Sparse Model Selection. - Nilanjana Datta, Christoph Hirche, Andreas J. Winter:
Convexity and Operational Interpretation of the Quantum Information Bottleneck Function. - Takuya Yoshioka, Hakan Erdogan, Zhuo Chen, Xiong Xiao, Fil Alleva:
Recognizing Overlapped Speech in Meetings: A Multichannel Separation Approach Using Neural Networks. - Alexander Hvatov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Sergey S. Kosukhin:
Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation. - Forrest Sheldon, Fabio L. Traversa, Massimiliano Di Ventra:
Taming a non-convex landscape with dynamical long-range order: memcomputing the Ising spin-glass. - Luoluo Liu, Sang (Peter) Chin, Trac D. Tran:
JOBS: Joint-Sparse Optimization from Bootstrap Samples. - Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
Cubic Regularization with Momentum for Nonconvex Optimization. - Tomoharu Iwata, Naonori Ueda:
Unsupervised Object Matching for Relational Data. - Piotr A. Sokól, Il Memming Park
Information Geometry of Orthogonal Initializations and Training. - Jian Huang, Yuling Jiao, Xiliang Lu, Yueyong Shi, Qinglong Yang:
SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties. - Kohei Miyaguchi, Kenji Yamanishi:
Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional ε1-Balls via Envelope Complexity. - Insoon Yang:
A Convex Optimization Approach to Dynamic Programming in Continuous State and Action Spaces. - On-Hei Solomon Lo, Jens M. Schmidt, Mikkel Thorup:
Contraction-Based Sparsification in Near-Linear Time. - Yong Luo, Yonggang Wen, Ling-Yu Duan, Dacheng Tao:
Transfer Metric Learning: Algorithms, Applications and Outlooks. - Gianina Alina Negoita
Deep Learning: Extrapolation Tool for Ab Initio Nuclear Theory. - Keith Dillon, Yu-Ping Wang:
Spectral Resolution Clustering for Brain Parcellation. - Eric T. Nalisnick, Padhraic Smyth:
Unifying the Dropout Family Through Structured Shrinkage Priors. - Martin P. Neuenhofen, Eric C. Kerrigan:
Dynamic Optimization with Convergence Guarantees. - Elvis Dohmatob:
Limitations of adversarial robustness: strong No Free Lunch Theorem. - Marten van Dijk, Lam M. Nguyen
Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD. - J. Andrew Zhang
Multibeam for Joint Communication and Sensing Using Steerable Analog Antenna Arrays. - Fei Wang, Jinsong Han, Ziyi Dai, Han Ding, Dong Huang:
WiPIN: Operation-free Person Identification using WiFi Signals. - Nick Whiteley:
The Viterbi process, decay-convexity and parallelized maximum a-posteriori estimation. - Jennifer N. John, Conner Galloway, Alexander Valys:
Deep Convolutional Neural Networks for Noise Detection in ECGs. - Md. Tanvir Hossan, Mostafa Zaman Chowdhury, Amirul Islam, Yeong Min Jang:
A Novel Indoor Mobile Localization System Based on Optical Camera Communication. - Saumik Dana, Mary F. Wheeler:
Convergence analysis of fixed stress split iterative scheme for small strain anisotropic poroelastoplasticity: a primer. - Afroza Shirin, Fabio Della Rossa, Isaac S. Klickstein, John Russell, Francesco Sorrentino:
Optimal Regulation of Blood Glucose Level in Type I Diabetes using Insulin and Glucagon. - Raj Agrawal, Trevor Campbell, Jonathan H. Huggins, Tamara Broderick:
Data-dependent compression of random features for large-scale kernel approximation. - Michael Cary:
Cycle Intersection Graphs and Minimum Decycling Sets of Even Graphs. - Ying Nian Wu, Ruiqi Gao, Tian Han, Song-Chun Zhu:
A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models. - Hossein Zeinali, Lukás Burget, Jan Cernocký:
Convolutional Neural Networks and x-vector Embedding for DCASE2018 Acoustic Scene Classification Challenge. - Mariano Cabezas, Sergi Valverde, Sandra González-Villà
Survival prediction using ensemble tumor segmentation and transfer learning. - Fande Kong, Vitaly O. Kheyfets, Ender A. Finol, Xiao-Chuan Cai:
Simulation of unsteady blood flows in a patient-specific compliant pulmonary artery with a highly parallel monolithically coupled fluid-structure interaction algorithm. - Takashi Ishida, Gang Niu, Aditya Krishna Menon, Masashi Sugiyama:
Complementary-Label Learning for Arbitrary Losses and Models. - Anirudh Subramanyam, Panagiotis P. Repoussis, Chrysanthos E. Gounaris:
Robust optimization of a broad class of heterogeneous vehicle routing problems under demand uncertainty. - Jeff Calder, Dejan Slepcev:
Properly-weighted graph Laplacian for semi-supervised learning. - Robert L. Kosut, Christian Arenz, Herschel Rabitz:
Quantum Control Landscape of Bipartite Systems. - Ivan Yu. Mogilnykh, Faina I. Solov'eva:
On components of a Kerdock code and the dual of the BCH code C1, 3. - Dena Firoozi, Peter E. Caines:
ε-Nash Equilibria for Major Minor LQG Mean Field Games with Partial Observations of All Agents. - Alejandro Contreras-Balbuena, Hortensia Galeana-Sánchez, Ilan A. Goldfeder:
Alternating Hamiltonian cycles in 2-edge-colored multigraphs. - Yitong Sun, Anna C. Gilbert, Ambuj Tewari:
Random ReLU Features: Universality, Approximation, and Composition. - Ashutosh Gupta, Somya Mani, Ankit Shukla:
Synthesis for Vesicle Traffic Systems. - Zheyang Shen, Markus Heinonen, Samuel Kaski:
Harmonizable mixture kernels with variational Fourier features. - Changye Wu, Julien Stoehr, Christian P. Robert
Faster Hamiltonian Monte Carlo by Learning Leapfrog Scale. - Davide Invernizzi, Marco Lovera, Luca Zaccarian:
Dynamic attitude planning for trajectory tracking in underactuated VTOL UAVs. - Songshan Yang, Jiawei Wen, Xiang Zhan, Daniel Kifer:
ET-Lasso: Efficient Tuning of Lasso for High-Dimensional Data. - Zhize Li, Wei Zhang, Kees Roos:
A Fast Polynomial-time Primal-Dual Projection Algorithm for Linear Programming. - Romain Couillet, Malik Tiomoko, Steeve Zozor, Eric Moisan:
Random matrix-improved estimation of covariance matrix distances. - Rashad Eletreby, Yong Zhuang, Kathleen M. Carley, Osman Yagan:
On the Evolution of Spreading Processes in Complex Networks. - Payongkit Lakhan, Nannapas Banluesombatkul, Vongsagon Changniam, Ratwade Dhithijaiyratn, Irawadee Thawornbut, Ekkarat Boonchieng, Theerawit Wilaiprasitporn:
EDOSE: Emotion Datasets from Open Source EEG with a Real-Time Bracelet Sensor. - Elliot J. Crowley, Jack Turner, Amos J. Storkey, Michael F. P. O'Boyle:
Pruning neural networks: is it time to nip it in the bud? - Mauricio A. Álvarez
Non-linear process convolutions for multi-output Gaussian processes. - Md. Kamrul Hasan, Fakrul Islam Tushar:
Quantification of Trabeculae Inside the Heart from MRI Using Fractal Analysis. - Huiying Mao
Adaptive Fraud Detection System Using Dynamic Risk Features. - Michael Jarret
Quantum adiabatic optimization without heuristics. - Houssam Nassif, Hassan Al-Ali, Sawsan Khuri, Walid Keirouz, David Page:
An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge. - Jeroen van Lidth de Jeude, Guido Caldarelli, Tiziano Squartini:
Detecting Core-Periphery Structures by Surprise. - Aonan Zhang, Quan Wang, Zhenyao Zhu, John W. Paisley, Chong Wang:
Fully Supervised Speaker Diarization. - Phuong Ha Nguyen, Lam M. Nguyen
Tight Dimension Independent Lower Bound on Optimal Expected Convergence Rate for Diminishing Step Sizes in SGD. - Colin Cooper, Alan M. Frieze, Wesley Pegden:
On the cover time of dense graphs. - Runjing Liu, Jeffrey Regier, Nilesh Tripuraneni, Michael I. Jordan, Jon McAuliffe:
Rao-Blackwellized Stochastic Gradients for Discrete Distributions. - Zhengyuan Zhou, Susan Athey, Stefan Wager:
Offline Multi-Action Policy Learning: Generalization and Optimization. - Jinghe Zhang, Kamran Kowsari, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes:
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record. - Dmitry Kolomenskiy, Ryo Onishi, Hitoshi Uehara:
Data Compression for Environmental Flow Simulations. - Quan Wang, Hannah Muckenhirn, Kevin W. Wilson, Prashant Sridhar, Zelin Wu, John R. Hershey, Rif A. Saurous, Ron J. Weiss, Ye Jia, Ignacio López-Moreno:
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking. - Jun Sung Choi, Vuk Marojevic, Mina Labib, Siddharth Kabra, Jayanthi Rao, Sushanta Das, Jeffrey H. Reed, Carl B. Dietrich:
Regulatory Options and Technical Challenges for the 5.9 GHz Spectrum: Survey and Analysis. - Yinan Li, Xiao Liu, Fang Liu:
Panda: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models. - Matthew J. Holland:
Classification using margin pursuit. - Qiang Liu, Piet Van Mieghem:
Network localization is unalterable by infections in bursts. - Aibek Alanov, Max Kochurov, Daniil Yashkov, Dmitry P. Vetrov:
Pairwise Augmented GANs with Adversarial Reconstruction Loss. - Junpei Komiyama, Takanori Maehara:
A Simple Way to Deal with Cherry-picking. - Zeng-Bing Chen:
Quantum Neural Network and Soft Quantum Computing. - Xavier Fontaine, Quentin Berthet, Vianney Perchet:
Regularized Contextual Bandits. - Abdullah Alchihabi, Omer Ekmekci, Baran B. Kivilicim, Sharlene D. Newman, Fatos T. Yarman-Vural:
On the Brain Networks of Complex Problem Solving. - Myrto Arapinis, Elham Kashefi, Nikolaos Lamprou, Anna Pappa
A Comprehensive Analysis of Quantum E-voting Protocols. - Marc Sabate Vidales, David Siska, Lukasz Szpruch:
Martingale Functional Control variates via Deep Learning. - Giulio Cimini, Tiziano Squartini, Fabio Saracco, Diego Garlaschelli, Andrea Gabrielli, Guido Caldarelli:
The Statistical Physics of Real-World Networks. - Louigi Addario-Berry, Pascal Maillard:
The algorithmic hardness threshold for continuous random energy models. - Roman Novak, Lechao Xiao, Jaehoon Lee, Yasaman Bahri, Daniel A. Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein:
Bayesian Convolutional Neural Networks with Many Channels are Gaussian Processes. - (Withdrawn) Fighting Contextual Bandits with Stochastic Smoothing.
- Mariia Vladimirova, Julyan Arbel, Pablo Mesejo:
Bayesian neural networks increasingly sparsify their units with depth. - Zoltán Szabó, Bharath K. Sriperumbudur:
On Kernel Derivative Approximation with Random Fourier Features. - Abraham P. Vinod, Meeko M. K. Oishi:
Stochastic reachability of a target tube: Theory and computation. - Osama A. S. Alkishriwo:
A Novel Chaotic Uniform Quantizer for Speech Coding. - Aya H. S. Abdelgader, Raneem A. Aboughalia, Osama A. S. Alkishriwo:
Combined Image Encryption and Steganography Algorithm in the Spatial Domain. - Daniel T. Zhang, Young Hun Jung, Ambuj Tewari:
Online Multiclass Boosting with Bandit Feedback. - Hunter Lang, David A. Sontag, Aravindan Vijayaraghavan:
Block Stability for MAP Inference. - Azam Rabiee, Soo-Young Lee:
A Fully Time-domain Neural Model for Subband-based Speech Synthesizer. - Colin Wei, Jason D. Lee, Qiang Liu, Tengyu Ma:
On the Margin Theory of Feedforward Neural Networks. - Emmanuel Jeandel:
The rational fragment of the ZX-calculus. - Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi:
Safe Grid Search with Optimal Complexity. - Devipriya T. K, Jovita Franci A, R. Deepa, Godwin Sam Josh:
Asynchronous Wi-Fi Control Interface (AWCI) Using Socket IO Technology. - David Leroy, Alice Coucke, Thibaut Lavril, Thibault Gisselbrecht, Joseph Dureau:
Federated Learning for Keyword Spotting. - Valerio Capraro, Matjaz Perc:
Grand challenges in social physics: In pursuit of moral behavior. - Tim Pearce, Mohamed Zaki, Alexandra Brintrup
Uncertainty in Neural Networks: Bayesian Ensembling. - Luigi Acerbi:
Variational Bayesian Monte Carlo. - Matteo Gallet, Niels Lubbes, Josef Schicho, Jan Vrsek:
Reconstruction of surfaces with ordinary singularities from their silhouettes. - Karsten Maurer, Walter D. Bennette:
Facility Locations Utility for Uncovering Classifier Overconfidence. - Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu:
Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion. - Thomas Kehrenberg, Zexun Chen, Novi Quadrianto:
Interpretable Fairness via Target Labels in Gaussian Process Models. - Ikuo Hoshi, Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito:
Computational ghost imaging using a field-programmable gate array. - Andreas I. Koutrouvelis, Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
Robust Joint Estimation of Multi-Microphone Signal Model Parameters. - Jeongyeol Kwon, Constantine Caramanis:
Global Convergence of EM Algorithm for Mixtures of Two Component Linear Regression. - Yuan Wang, Bei Wang:
Topological Inference of Manifolds with Boundary. - Nieves Atienza, Luis M. Escudero, Maria Jose Jimenez, M. Soriano-Trigueros:
Characterising epithelial tissues using persistent entropy. - Evgeniy O. Kiktenko, Aleksei O. Malyshev, Anton A. Bozhedarov, Nikolay O. Pozhar, Maxim N. Anufriev, Aleksey K. Fedorov:
Error estimation at the information reconciliation stage of quantum key distribution. - Waldemar Hebisch
Integration in terms of polylogarithm. - Kishan Prudhvi Guddanti, Yang Weng, Baosen Zhang:
Power Flow as Intersection of Circles: A new Fixed Point Method. - David Gamarnik:
Computing the partition function of the Sherrington-Kirkpatrick model is hard on average. - Bhargav R. Karamched, Simon Stolarczyk, Zachary P. Kilpatrick, Kresimir Josic:
Optimal Evidence Accumulation on Social Networks. - Si Lu:
No-reference Image Denoising Quality Assessment. - Shervan Fekri Ershad
Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique. - Chao Ning, Fengqi You:
A Transformation-Proximal Bundle Algorithm for Solving Large-Scale Multistage Adaptive Robust Optimization Problems. - Carolina de Abreu, Bruno Requião da Cunha, Sebastián Gonçalves:
Empirical determination of the optimum attack for fragmentation of modular networks. - Satoshi Hara, Takanori Maehara:
Convex Hull Approximation of Nearly Optimal Lasso Solutions. - Tobias Fritz, Paolo Perrone:
Monads, partial evaluations, and rewriting. - Joanna N. Chen, Shishuo Fu:
q-Stirling numbers arising from vincular patterns. - Ruzhang Zhao, Yajun Fang, Berthold K. P. Horn:
A Simple Change Comparison Method for Image Sequences Based on Uncertainty Coefficient. - Edgar Dobriban, Sifan Liu:
A New Theory for Sketching in Linear Regression. - Max Schwarzer, Bryce Rogan, Yadong Ruan, Zhengming Song, Diana Lee, Allon G. Percus, Viet T. Chau, Bryan A. Moore, Esteban Rougier, Hari S. Viswanathan, Gowri Srinivasan:
Learning to fail: Predicting fracture evolution in brittle materials using recurrent graph convolutional neural networks. - Xiangru Lian, Ji Liu:
Revisit Batch Normalization: New Understanding from an Optimization View and a Refinement via Composition Optimization. - Maria Chudnovsky, T. Karthick, Peter Maceli, Frédéric Maffray:
Coloring graphs with no induced five-vertex path or gem. - Matthew J. Holland:
Robust descent using smoothed multiplicative noise. - Peng Bao, Wenjun Xia, Kang Yang, Jiliu Zhou, Yi Zhang:
Sparse-View CT Reconstruction via Convolutional Sparse Coding. - Mastane Achab, Anna Korba, Stéphan Clémençon:
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach. - Ho Chung Leon Law, Peilin Zhao, Junzhou Huang, Dino Sejdinovic:
Hyperparameter Learning via Distributional Transfer. - Fabio Vesperini, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini:
Polyphonic Sound Event Detection by using Capsule Neural Networks. - Haoye Lu, Michel Barbeau, Amiya Nayak:
No-Key Semi-Quantum Direct Communication Protocol with Low Quantum Resource Requirements. - Luwan Zhang, Tianrun A. Cai:
Unsupervised Ensemble Learning via Ising Model Approximation with Application to Phenotyping Prediction. - Weinan E, Chao Ma, Lei Wu:
A Priori Estimates of the Generalization Error for Two-layer Neural Networks. - Jan Choloniewski, Julian Sienkiewicz, Gregor Leban, Janusz A. Holyst:
Modelling of temporal fluctuation scaling in online news network with independent cascade model. - Xuetao Xing, Jin Lin, Yonghua Song, Qiang Hu, You Zhou, Shujun Mu:
Optimization of Hydrogen Yield of a High-Temperature Electrolysis System with Coordinated Temperature and Feed Factors at Various Loading Conditions: A Model-Based Study. - Giona Casiraghi
Generalised hypergeometric ensembles of random graphs: the configuration model as an urn problem. - Zijia Zhong, Joyoung Lee:
Simulation Framework for Cooperative Adaptive Cruise Control with Empirical DSRC Module. - Ming-Hsiang Tsou, Hao Zhang, Atsushi Nara, Su Yeon Han:
Estimating hourly population distribution change at high spatiotemporal resolution in urban areas using geo-tagged tweets, land use data, and dasymetric maps. - Marco A. Martínez Ramírez, Joshua D. Reiss:
Modeling of nonlinear audio effects with end-to-end deep neural networks. - Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic:
Push-Pull Gradient Methods for Distributed Optimization in Networks. - Jin Zhu, Guang Yang, Pietro Liò:
Lesion Focused Super-Resolution. - Mauro Maggioni, James M. Murphy:
Learning by Unsupervised Nonlinear Diffusion. - Marthe Bonamy, Thomas Perrett, Luke Postle:
Colouring Graphs with Sparse Neighbourhoods: Bounds and Applications. - Ardavan Salehi Nobandegani, William Campoli, Thomas R. Shultz:
Bringing Order to the Cognitive Fallacy Zoo. - Samaneh Azadi, Catherine Olsson, Trevor Darrell, Ian J. Goodfellow, Augustus Odena:
Discriminator Rejection Sampling. - Haoyu Ren, Mostafa El-Khamy, Jungwon Lee:
DN-ResNet: Efficient Deep Residual Network for Image Denoising. - Gal Mishne, Eric C. Chi, Ronald R. Coifman:
Co-manifold learning with missing data. - Andrei Atanov, Arsenii Ashukha
The Deep Weight Prior. Modeling a prior distribution for CNNs using generative models. - Kaspar Märtens, Kieran R. Campbell
Covariate Gaussian Process Latent Variable Models. - Sai Praneeth Karimireddy, Anastasia Koloskova, Sebastian U. Stich, Martin Jaggi:
Efficient Greedy Coordinate Descent for Composite Problems. - Anne Reinarz, Jean-Mathieu Gallard, Michael Bader:
Influence of A-Posteriori Subcell Limiting on Fault Frequency in Higher-Order DG Schemes. - Ricky X. F. Chen, Christian M. Reidys, Andrei C. Bura:
Network tomography: a new structure spectrum for studying network dynamics. - Margret Heinze, Robert Koenig:
Universal Uhrig dynamical decoupling for bosonic systems. - Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar:
High-dimensional Varying Index Coefficient Models via Stein's Identity. - Sinong Geng, Mladen Kolar, Oluwasanmi Koyejo:
Joint Nonparametric Precision Matrix Estimation with Confounding. - Kirill Neklyudov, Pavel Shvechikov, Dmitry P. Vetrov:
Metropolis-Hastings view on variational inference and adversarial training. - Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek:
Multimodal Deep Gaussian Processes. - Jesse Geneson:
Constructing sparse Davenport-Schinzel sequences by hypergraph edge coloring. - Zhongyuan Zhao, Mehmet C. Vuran, Fujuan Guo, Stephen D. Scott:
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks. - Ryan Sweke, Markus S. Kesselring, Evert P. L. van Nieuwenburg, Jens Eisert:
Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation. - Pang Du, Zheyuan Sun, Huashan Chen, Jin-Hee Cho, Shouhuai Xu:
Statistical Estimation of Malware Detection Metrics in the Absence of Ground Truth. - Tim Austin:
The structure of low-complexity Gibbs measures on product spaces. - Per Lunnemann, Mogens H. Jensen, Liselotte Jauffred
Gender Bias in Nobel Prizes. - Min Ye, Alexander Barg:
Optimal locally private estimation under 𝓁p loss for 1≤ p≤ 2. - Karl Kumbier, Sumanta Basu, James B. Brown, Susan Celniker, Bin Yu:
Refining interaction search through signed iterative Random Forests. - Jinxi Guo, Ning Xu, Kailun Qian, Yang Shi, Kaiyuan Xu, Yingnian Wu, Abeer Alwan:
Deep neural network based i-vector mapping for speaker verification using short utterances. - Kevin Acres, Jan Carlo Barca:
Tetrahedra and Relative Directions in Space, Using 2 and 3-Space Simplexes for 3-Space Localization. - Tanuj Mathur, Tian An Wong:
On the computational complexity of MSTD sets. - Aniket Anand Deshmukh, Srinagesh Sharma, James W. Cutler, Mark Moldwin, Clayton Scott:
Simple Regret Minimization for Contextual Bandits. - Amin Coja-Oghlan, Pu Gao:
The rank of random matrices over finite fields. - Antoni B. Chan, Janet H. Hsiao:
EMHMM Simulation Study. - Andrea Raffo, Oliver J. D. Barrowclough
Reverse engineering of CAD models via clustering and approximate implicitization. - Matteo Ruffini, Guillaume Rabusseau, Borja Balle:
Hierarchical Methods of Moments. - Narayan Prasad, Xiao-Feng Qi, Alan Gatherer:
Optimizing Beams and Bits: A Novel Approach for Massive MIMO Base-Station Design. - Yi Yu, Haiquan Zhao, Rodrigo C. de Lamare:
Study of Sparsity-Aware Subband Adaptive Filtering Algorithms with Adjustable Penalties. - Michal Branicki, Kenneth Uda:
Path-based measures of expansion rates and Lagrangian transport in stochastic flows. - Damek Davis, Dmitriy Drusvyatskiy:
Uniform Graphical Convergence of Subgradients in Nonconvex Optimization and Learning. - Mattia Antonino Di Gangi, Roberto Dessì, Roldano Cattoni, Matteo Negri, Marco Turchi:
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018. - Dhagash Mehta, Tianran Chen, Tingting Tang, Jonathan D. Hauenstein:
The loss surface of deep linear networks viewed through the algebraic geometry lens. - Payel Das, Kahini Wadhawan, Oscar Chang, Tom Sercu, Cícero Nogueira dos Santos, Matthew Riemer, Inkit Padhi, Vijil Chenthamarakshan, Aleksandra Mojsilovic:
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences. - Ruslan Shaydulin
Community Detection Across Emerging Quantum Architectures. - Ryan King, Oliver Hennigh, Arvind Mohan, Michael Chertkov:
From Deep to Physics-Informed Learning of Turbulence: Diagnostics. - Sarah J. Berkemer, Christian Höner zu Siederdissen, Peter F. Stadler:
Alignments as Compositional Structures. - Kean Ming Tan, Qiang Sun, Daniela M. Witten:
Distributionally Robust Reduced Rank Regression and Principal Component Analysis in High Dimensions. - Ferdi Kara, Hakan Kaya:
Spatial Multiple Access (SMA): Enhancing performances of MIMO-NOMA systems. - François Bachoc, Fabrice Gamboa, Jean-Michel Loubes, Laurent Risser:
Entropic Variable Boosting for Explainability and Interpretability in Machine Learning. - Christine Ho, Yuting Ye, Ci-Ren Jiang
HierLPR: Decision making in hierarchical multi-label classification with local precision rates. - Simon R. Blackburn:
Inglenook Shunting Puzzles. - Xiao Xiao, Malcolm A. Sabin, Fehmi Cirak:
Interrogation of spline surfaces with application to isogeometric design and analysis of lattice-skin structures. - Jesus Arjona Martinez, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant:
Pileup mitigation at the Large Hadron Collider with Graph Neural Networks. - Benjamin Rhodes, Michael U. Gutmann:
Variational Noise-Contrastive Estimation. - Taiji Suzuki:
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality. - Joumana Farah, Antoine Kilzi, Charbel Abdel Nour, Catherine Douillard:
Power Minimization in Distributed Antenna Systems using Non-Orthogonal Multiple Access and Mutual Successive Interference Cancellation. - Simone Rossi, Pietro Michiardi, Maurizio Filippone:
Good Initializations of Variational Bayes for Deep Models. - Samarth Gupta, Gauri Joshi, Osman Yagan:
Exploiting Correlation in Finite-Armed Structured Bandits. - Dingquan Li, Tingting Jiang, Ming Jiang:
Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur Images. - Shotaro Shiba Funai, Dimitrios Giataganas:
Thermodynamics and Feature Extraction by Machine Learning. - Vida Dujmovic, David Eppstein, Gwenaël Joret, Pat Morin, David R. Wood:
Minor-closed graph classes with bounded layered pathwidth. - Rasmus Kyng, Zhao Song:
A Matrix Chernoff Bound for Strongly Rayleigh Distributions and Spectral Sparsifiers from a few Random Spanning Trees. - Milim Lee, Youngjo Kim, Seong Won Cho, Joon Young Kwak, Hyunsu Ju, Yeonjin Yi, Byung-ki Cheong, Suyoun Lee:
A highly scalable and energy-efficient artificial neuron using an Ovonic Threshold Switch (OTS) featuring the spike-frequency adaptation and chaotic activity. - Angela Sara Cacciapuoti, Marcello Caleffi, Francesco Tafuri, Francesco Saverio Cataliotti, Stefano Gherardini, Giuseppe Bianchi:
Quantum Internet: Networking Challenges in Distributed Quantum Computing. - Leo L. Duan, David B. Dunson:
Bayesian Distance Clustering. - Santiago Silva, Boris Gutman, Eduardo Romero, Paul M. Thompson, André Altmann, Marco Lorenzi:
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. - Zhong Qiu Lin, Audrey G. Chung, Alexander Wong:
EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge. - Quan Zhang, Mingyuan Zhou:
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks. - Elvin Isufi, Andreas Loukas, Nathanaël Perraudin, Geert Leus:
Forecasting Time Series with VARMA Recursions on Graphs. - Jacqueline M. Hughes-Oliver:
Population and Empirical PR Curves for Assessment of Ranking Algorithms. - Luca Oneto, Michele Donini, Amon Elders, Massimiliano Pontil:
Taking Advantage of Multitask Learning for Fair Classification. - Aldo C. Martínez, Aldo Solís, Rafael Díaz Hernández Rojas, Alfred B. U'Ren, Jorge G. Hirsch, Isaac Pérez Castillo:
Testing Randomness in Quantum Mechanics. - Robert M. Freund, Paul Grigas, Rahul Mazumder:
Condition Number Analysis of Logistic Regression, and its Implications for Standard First-Order Solution Methods. - John C. Duchi, Hongseok Namkoong:
Learning Models with Uniform Performance via Distributionally Robust Optimization. - Yuwei Fan, Cindy Orozco Bohorquez, Lexing Ying:
BCR-Net: a neural network based on the nonstandard wavelet form. - Jon Aytac, Ammar Husain:
Some Coxeter Groups in Reversible and Quantum Compuation. - Atif Maqsood, Yu Zhang, Keith A. Corzine:
Optimal Rotational Load Shedding via Bilinear Integer Programming. - Bin Shi, Simon S. Du, Michael I. Jordan, Weijie J. Su:
Understanding the Acceleration Phenomenon via High-Resolution Differential Equations. - Ron Holzman:
On 2-colored graphs and partitions of boxes. - Anru Zhang, Yuchen Zhou:
A Non-asymptotic, Sharp, and User-friendly Reverse Chernoff-Cramèr Bound. - Kenji Kawaguchi, Yoshua Bengio:
Depth with Nonlinearity Creates No Bad Local Minima in ResNets. - Jin Hua Zhao, Hai-Jun Zhou:
Controllability and maximum matchings of complex networks. - Xuanxuan Gao, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li:
ComNet: Combination of Deep Learning and Expert Knowledge in OFDM Receivers. - Christopher Aicher, Yi-An Ma, Nicholas J. Foti, Emily B. Fox:
Stochastic Gradient MCMC for State Space Models. - Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Yuta Kawachi, Noboru Harada:
Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemma. - Eric T. Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Görür, Balaji Lakshminarayanan:
Do Deep Generative Models Know What They Don't Know? - Yuma Koizumi, Kenta Niwa, Yusuke Hioka, Kazunori Kobayashi, Yoichi Haneda:
DNN-based Source Enhancement to Increase Objective Sound Quality Assessment Score. - Peter Bloem:
Learning sparse transformations through backpropagation. - Francesco Caravelli, Cristiano Nisoli:
Computation via Interacting Magnetic Memory Bites: Integration of Boolean Gates. - Hong Tang, Huaming Chen, Ting Li, Mingjun Zhong:
Classification of normal/abnormal heart sound recordings based on multi-domain features and back propagation neural network. - Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz:
Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. - Steven A. Frank:
The Price equation program: simple invariances unify population dynamics, thermodynamics, probability, information and inference. - Juliette Achdou, Joseph C. Lam, Alexandra Carpentier, Gilles Blanchard:
A minimax near-optimal algorithm for adaptive rejection sampling. - Rodrigo A. Collazo, Jim Q. Smith:
Properties of an N Time-Slice Dynamic Chain Event Graph. - Ehsan Hajiramezanali, Siamak Zamani Dadaneh, Alireza Karbalayghareh, Mingyuan Zhou, Xiaoning Qian:
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data. - Pablo Fernández, Ngoc Cuong Nguyen, Jaime Peraire:
On the ability of discontinuous Galerkin methods to simulate under-resolved turbulent flows. - Carlos Aguirre, Karim Pichara, Ignacio Becker:
Deep multi-survey classification of variable stars. - Tomoyoshi Shimobaba, Takayuki Takahashi, Yota Yamamoto, Yutaka Endo, Atsushi Shiraki, Takashi Nishitsuji, Naoto Hoshikawa, Takashi Kakue, Tomoyoshi Ito:
Digital holographic particle volume reconstruction using a deep neural network. - Babak Barazandeh, Mohammadhussein Rafieisakhaei, Sunwook Kim, Zhenyu James Kong, Maury A. Nussbaum:
A Method for Robust Online Classification using Dictionary Learning: Development and Assessment for Monitoring Manual Material Handling Activities Using Wearable Sensors. - Tahsin Khajah, Vianey Villamizar:
Highly accurate acoustic scattering: Isogeometric Analysis coupled with local high order Farfield Expansion ABC. - Joshua A. Pepper, Oliwia D. Krupinska, Keivan G. Stassun, Dawn M. Gelino:
What Does a Successful Postdoctoral Fellowship Publication Record Look Like? - Hui Li, Boxiao Liu, Yongfu Li, Guoxing Wang, Yong Lian:
A High Accuracy and High Sensitivity System Architecture for Electrical Impedance Tomography System. - Justin Khim, Po-Ling Loh:
Adversarial Risk Bounds for Binary Classification via Function Transformation. - Matthieu Gilson, Jean-Pascal Pfister:
Propagation of moments in Hawkes networks. - Jie Ding, Vahid Tarokh, Yuhong Yang:
Model Selection Techniques - An Overview. - Filipi Nascimento Silva, Cesar H. Comin, Luciano da F. Costa:
Malleability of complex networks. - Yuehaw Khoo, Lexing Ying:
SwitchNet: a neural network model for forward and inverse scattering problems. - Daniele Mirabilii, Emanuël A. P. Habets:
On the difference-to-sum power ratio of speech and wind noise based on the Corcos model. - Tomoharu Iwata, Takuma Otsuka, Hitoshi Shimizu, Hiroshi Sawada, Futoshi Naya, Naonori Ueda:
Finding Appropriate Traffic Regulations via Graph Convolutional Networks. - Eyal Weiss, Michael Margaliot:
A Generalization of Smillie's Theorem on Strongly Cooperative Tridiagonal Systems. - Clement Lee
A Social Network Analysis of Articles on Social Network Analysis. - Erwan Hillion, Oliver Johnson:
A proof of the Shepp-Olkin entropy monotonicity conjecture. - Karl Däubel, Sven Jäger, Torsten Mütze, Manfred Scheucher:
On orthogonal symmetric chain decompositions. - Manabu Hagiwara:
Perfect Codes for Generalized Deletions from Minuscule Elements of Weyl Groups. - Sebastian Kahl, Stefan Kopp:
A predictive processing model of perception and action for self-other distinction. - Antonio Ragagnin
Exploiting the Space Filling Curve Ordering of Particles in the Neighbour Search of Gadget3. - Traiko Dinev, Michael U. Gutmann:
Dynamic Likelihood-free Inference via Ratio Estimation (DIRE). - Steven Kleinegesse, Michael U. Gutmann:
Efficient Bayesian Experimental Design for Implicit Models. - Alexander Lin, Yingzhuo Zhang, Jeremy Heng, Stephen A. Allsop, Kay M. Tye, Pierre E. Jacob, Demba E. Ba:
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach. - Hussein F. Hassan, Sadiq J. Abou-Loukh, Ibraheem Kasim Ibraheem:
Teleoperated Robotic Arm Movement Using EMG Signal With Wearable MYO Armband. - Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua:
Improving Stock Movement Prediction with Adversarial Training. - Dominic T. Lennon, Hyungil Moon, Leon C. Camenzind, Liuqi Yu, Dominik M. Zumbühl, G. Andrew D. Briggs, Michael A. Osborne, Edward A. Laird, Natalia Ares:
Efficiently measuring a quantum device using machine learning. - Jonathan Kadmon, Surya Ganguli:
Statistical mechanics of low-rank tensor decomposition. - Zhaoqiang Liu:
Model Selection for Nonnegative Matrix Factorization by Support Union Recovery. - Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani:
A Continuous-Time View of Early Stopping for Least Squares Regression. - Ehsan Kazemi, Liqiang Wang:
A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems. - David M. Reiman
Deblending galaxy superpositions with branched generative adversarial networks. - Shobhit Jain, Thomas Breunung, George Haller:
Fast Computation of Steady-State Response for Nonlinear Vibrations of High-Degree-of-Freedom Systems. - Mehdi Ahmadi, Timothy Nest, Mostafa Abdelnaim, Thanh-Dung Le:
Reproducing AmbientGAN: Generative models from lossy measurements. - Tadas Temcinas:
Local Homology of Word Embeddings. - (Withdrawn) Modified Multidimensional Scaling and High Dimensional Clustering.
- Zhongyang Zhang, Ling Zhang, Ze Sun, Nicholas Erickson, Ryan From, Jun Fan:
Solving Poisson's Equation using Deep Learning in Particle Simulation of PN Junction. - Nikolai Krivulin:
Algebraic solution of weighted minimax single-facility constrained location problems. - Kevin Garello, Farrukh Yasin, S. Couet, Laurent Souriau, Johan Swerts, Sidharth Rao, Simon Van Beek, Wonsub Kim, Enlong Liu, Shreya Kundu, Diana Tsvetanova, N. Jossart, Kris Croes, E. Grimaldi, M. Baumgartner, D. Crotti, Arnaud Furnémont, Pietro Gambardella, Gouri Sankar Kar:
SOT-MRAM 300mm integration for low power and ultrafast embedded memories. - Anshul Adve, Colleen Robichaux
Complexity, combinatorial positivity, and Newton polytopes. - Vincent Fortuin, Gideon Dresdner, Heiko Strathmann, Gunnar Rätsch:
Scalable Gaussian Processes on Discrete Domains. - Roger A. Sauer, Reza Ghaffari, Anurag Gupta:
The multiplicative deformation split for shells with application to growth, chemical swelling, thermoelasticity, viscoelasticity and elastoplasticity. - Holger Boche, Gisbert Janßen, Sajad Saeedinaeeni:
Simultaneous transmission of classical and quantum information under channel uncertainty and jamming attacks. - Gaetano Manzo, Juan Sebastian Otálora Montenegro, Gianluca Rizzo:
A Deep Learning Mechanism for Efficient Information Dissemination in Vehicular Floating Content. - Christian Majenz:
Entropy in Quantum Information Theory - Communication and Cryptography. - Jack Turner, Elliot J. Crowley, Valentin Radu, José Cano, Amos J. Storkey, Michael F. P. O'Boyle:
HAKD: Hardware Aware Knowledge Distillation. - Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai:
Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach. - Cristiano Capone, Elena Pastorelli, Bruno Golosio, Pier Stanislao Paolucci
Sleep-like slow oscillations induce hierarchical memory association and synaptic homeostasis in thalamo-cortical simulations. - Tailin Wu, Max Tegmark:
Toward an AI Physicist for Unsupervised Learning. - Lucy R. Chai, Danielle S. Bassett:
Evolution of semantic networks in biomedical texts. - Allyson Hahn, Neil R. Nicholson:
Cops and Robbers on Toroidal Chess Graphs. - Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta:
Loop corrections in spin models through density consistency. - Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani:
Toward Robust Neural Networks via Sparsification. - Zhe Wang, Kaiyi Ji, Yi Zhou, Yingbin Liang, Vahid Tarokh:
SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization. - Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Convolutional Deblurring for Natural Imaging. - Yusuke Kida, Dung T. Tran, Motoi Omachi, Toru Taniguchi, Yuya Fujita:
Speaker Selective Beamformer with Keyword Mask Estimation. - Tore Vincent Carstens, Dirk Oliver Theis:
Note on (active-)QRAM-style data access as a quantum circuit. - Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka, Volkan Cevher:
Adversarially Robust Optimization with Gaussian Processes. - Anastasia Borovykh:
A Gaussian Process perspective on Convolutional Neural Networks. - Claudio Castellano, Romualdo Pastor-Satorras:
Relevance of backtracking paths in epidemic spreading on networks. - Steve Oudot, Elchanan Solomon:
Inverse Problems in Topological Persistence. - François Le Gall, Harumichi Nishimura, Ansis Rosmanis:
Quantum Advantage for the LOCAL Model in Distributed Computing. - Jee-weon Jung, Hee-Soo Heo, Hye-jin Shim, Ha-Jin Yu:
Short utterance compensation in speaker verification via cosine-based teacher-student learning of speaker embeddings. - Kai-Min Chung, Han-Hsuan Lin:
On the Sample Complexity of PAC Learning Quantum Process. - Iman Sajedian, Trevon Badloe, Junsuk Rho:
Finding the best design parameters for optical nanostructures using reinforcement learning. - Yining Wang, Erva Ulu, Aarti Singh, Levent Burak Kara:
Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty. - Julian Merten, Carlo Giocoli
On the dissection of degenerate cosmologies with machine learning. - Simon Abelard:
Counting points on hyperelliptic curves with explicit real multiplication in arbitrary genus. - Ming Yu, Zhuoran Yang, Tuo Zhao, Mladen Kolar, Zhaoran Wang:
Provable Gaussian Embedding with One Observation. - Ben Adcock, Simone Brugiapaglia:
Sparse approximation of multivariate functions from small datasets via weighted orthogonal matching pursuit. - Ashutosh Bhown, Soham Mukherjee, Sean Yang, Shubham Chandak, Irena Fischer-Hwang, Kedar Tatwawadi, Tsachy Weissman:
Humans are still the best lossy image compressors. - Bayan Saparbayeva, Michael Minyi Zhang, Lizhen Lin:
Communication Efficient Parallel Algorithms for Optimization on Manifolds. - Timothy NeCamp, Josh Gardner, Christopher Brooks:
Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments. - Dandan Guo, Bo Chen, Hao Zhang, Mingyuan Zhou:
Deep Poisson gamma dynamical systems. - Niklas W. A. Gebauer, Michael Gastegger, Kristof T. Schütt:
Generating equilibrium molecules with deep neural networks. - David Diaz-Guerra, Antonio Miguel, José Ramón Beltrán:
gpuRIR: A python library for Room Impulse Response simulation with GPU acceleration. - Maben Rabi:
Relay self-oscillations for second order, stable, nonminimum phase plants. - Jaime Roquero Gimenez, James Y. Zou:
Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization. - Zhan Zhang, Ping Wei, Li Juan Deng, Huaguo Zhang:
Joint Estimation of DOA and Frequency with Sub-Nyquist Sampling in a Binary Array Radar System. - João Sacramento, Rui Ponte Costa, Yoshua Bengio, Walter Senn:
Dendritic cortical microcircuits approximate the backpropagation algorithm. - Alexandre Gélin:
On the complexity of class group computations for large degree number fields. - Matthias Bauer, Andriy Mnih:
Resampled Priors for Variational Autoencoders. - Gaétan Hains, Wijnand Suijlen, Wenliang Liang, Zixu Wu:
5Gperf: signal processing performance for 5G. - Changjian Shui, Ihsen Hedhli, Christian Gagné:
Accumulating Knowledge for Lifelong Online Learning. - Alexander Siegenfeld, Yaneer Bar-Yam:
Negative Representation and Instability in Democratic Elections. - Woojin Kim
Rank invariant for Zigzag Modules. - Hajar El Hammouti, Mustapha Benjillali, Basem Shihada, Mohamed-Slim Alouini:
Learn to Fly: A Distributed Mechanism for Joint 3D Placement and Users Association in UAVs-assisted Networks. - Puning Zhao, Lifeng Lai:
Analysis of KNN Information Estimators for Smooth Distributions. - Yan X. Zhang:
Applying Fourier Analysis to Judgment Aggregation. - Siwei Yu, Jianwei Ma, Wenlong Wang:
Deep learning tutorial for denoising. - Wittawat Jitkrittum, Heishiro Kanagawa, Patsorn Sangkloy, James Hays, Bernhard Schölkopf, Arthur Gretton:
Informative Features for Model Comparison. - Nathan Kallus, Aahlad Manas Puli, Uri Shalit:
Removing Hidden Confounding by Experimental Grounding. - Marcel Crâsmaru:
On the Equivalence of Convolutional and Hadamard Networks using DFT. - Qiang Liu, Dilin Wang:
Stein Variational Gradient Descent as Moment Matching. - Dongchi Yu, Lu Wang:
Hull Form Optimization with Principal Component Analysis and Deep Neural Network. - Chandler Zuo:
Regularization Effect of Fast Gradient Sign Method and its Generalization. - Mostafa Medra, Andrew W. Eckford, Raviraj Adve:
Using Fractional Programming for Zero-Norm Approximation. - Timothy E. Wang, Jack Gu, Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal:
Towards Robust Deep Neural Networks. - Niklas Pfister, Stefan Bauer, Jonas Peters:
Identifying Causal Structure in Large-Scale Kinetic Systems. - Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh:
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications. - Jean-Marc Valin, Jan Skoglund:
LPCNet: Improving Neural Speech Synthesis Through Linear Prediction. - William Herlands, Daniel B. Neill, Hannes Nickisch, Andrew Gordon Wilson:
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction. - Linfeng Zhang, De-Ye Lin, Han Wang, Roberto Car, Weinan E:
Active Learning of Uniformly Accurate Inter-atomic Potentials for Materials Simulation. - Ulrich Paquet, Marco Fraccaro:
An Efficient Implementation of Riemannian Manifold Hamiltonian Monte Carlo for Gaussian Process Models. - Mason Youngblood:
Cultural transmission modes of music sampling traditions remain stable despite delocalization in the digital age. - Yuxuan Du
The Expressive Power of Parameterized Quantum Circuits. - Yongchao Wang, Yanjiao Wang, Qingjiang Shi:
Optimized Signal Distortion for PAPR Reduction of OFDM Signals with IFFT/FFT Complexity via ADMM Approaches. - Shinji Takaki, Toru Nakashika, Xin Wang, Junichi Yamagishi:
STFT spectral loss for training a neural speech waveform model. - Xin Wang, Shinji Takaki, Junichi Yamagishi:
Neural source-filter-based waveform model for statistical parametric speech synthesis. - Caroline Figgatt, Aaron Ostrander, Norbert Matthias Linke, K. A. Landsman, Daiwei Zhu, Dmitri Maslov
Parallel Entangling Operations on a Universal Ion Trap Quantum Computer. - Xiangru Xu, Necmiye Ozay, Vijay Gupta:
Passivity-Based Analysis of Sampled and Quantized Control Implementations. - Stephan Rabanser, Stephan Günnemann, Zachary C. Lipton:
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift. - Siddhant Jain, Jalal Ziauddin, Paul Leonchyk, Joseph Geraci:
An Amalgamation of Classical and Quantum Machine Learning For the Classification of Adenocarcinoma and Squamous Cell Carcinoma Patients. - Yusuke Yasuda, Xin Wang, Shinji Takaki, Junichi Yamagishi:
Investigation of enhanced Tacotron text-to-speech synthesis systems with self-attention for pitch accent language. - Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang:
Semi-crowdsourced Clustering with Deep Generative Models. - Haibin Chang, Dongxiao Zhang:
Identification of physical processes via combined data-driven and data-assimilation methods. - Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Altruistic Autonomy: Beating Congestion on Shared Roads. - Alexandre Gélin:
Reducing the complexity for class group computations using small defining polynomials. - Guillaume Pagès, Sergei Grudinin:
DeepSymmetry : Using 3D convolutional networks for identification of tandem repeats and internal symmetries in protein structures. - Joran van Apeldoorn, Sander Gribling:
Simon's problem for linear functions. - Ang Li, Christos Masouros, A. Lee Swindlehurst:
1-Bit Massive MIMO Downlink Based on Constructive Interference. - Ang Li, Christos Masouros, Fan Liu:
Hybrid Analog-Digital Precoding for Interference Exploitation. - Amandeep Singh Bhatia
On the Power of Quantum Queue Automata in Real-time. - Wenyuan Liu, Stanislaw Saganowski, Przemyslaw Kazienko, Siew Ann Cheong:
Using Machine Learning to Predict the Evolution of Physics Research. - Federico Angelini, Zeyu Fu, Yang Long, Ling Shao, Syed Mohsen Naqvi:
ActionXPose: A Novel 2D Multi-view Pose-based Algorithm for Real-time Human Action Recognition. - Stéphane Mallat, Sixin Zhang, Gaspar Rochette:
Phase Harmonics and Correlation Invariants in Convolutional Neural Networks. - Chieh-Fang Teng, Chen-Hsi Derek Wu, Andrew Kuan-Shiuan Ho, An-Yeu Wu:
Low-complexity Recurrent Neural Network-based Polar Decoder with Weight Quantization Mechanism. - Faicel Chamroukhi, Bao Tuyen Huynh:
Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models. - Uri Alon, Golan Pundak, Tara N. Sainath:
Contextual Speech Recognition with Difficult Negative Training Examples. - Matthew Willetts, Aiden R. Doherty, Stephen J. Roberts, Chris C. Holmes:
Semi-unsupervised Learning of Human Activity using Deep Generative Models. - Sébastien Marmin, Maurizio Filippone:
Variational Calibration of Computer Models. - Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, Raphaël Sgier:
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications. - Vijay Anavangot, Animesh Kumar:
Novel Near-Optimal Scalar Quantizers with Exponential Decay Rate and Global Convergence. - Charlie Rogers-Smith, Henri Pesonen, Samuel Kaski:
Approximate Bayesian Computation via Population Monte Carlo and Classification. - David Reeb, Andreas Doerr, Sebastian Gerwinn, Barbara Rakitsch:
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds. - James Vuckovic:
Kalman Gradient Descent: Adaptive Variance Reduction in Stochastic Optimization. - Gabriele Fici, Mickaël Postic, Manuel Silva:
Abelian Anti-Powers in Infinite Words. - Preeti Agarwal, Mansaf Alam:
IoT Cloud Platforms: an Application Development Perspective. - Weizi Li, Meilei Jiang, Yaoyu Chen, Ming C. Lin:
Estimating Traffic Conditions At Metropolitan Scale Using Traffic Flow Theory. - Shoumik Palkar, Matei Zaharia:
Splitability Annotations: Optimizing Black-Box Function Composition in Existing Libraries. - Conrado Martínez, Markus Nebel, Sebastian Wild
Sesquickselect: One and a half pivots for cache-efficient selection. - Chris Kedzie, Kathleen R. McKeown, Hal Daumé III:
Content Selection in Deep Learning Models of Summarization. - Carlos H. G. Ferreira, Breno de Sousa Matos, Jusssara M. Almeida:
Analyzing Ideological Communities in Congressional Voting Networks. - Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi:
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. - James Gibson, David C. Atkins, Torrey A. Creed, Zac E. Imel, Panayiotis G. Georgiou, Shrikanth S. Narayanan:
Multi-label Multi-task Deep Learning for Behavioral Coding. - Robert E. Kent, Christian Neuss:
Creating a Web Analysis and Visualization Environment. - Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, Devi Parikh:
Do Explanations make VQA Models more Predictable to a Human? - Milan Gritta, Mohammad Taher Pilehvar, Nigel Collier:
A Pragmatic Guide to Geoparsing Evaluation. - T. B. Dinesh, Suzan Üsküdarli:
Renarration for All. - Diego Chialva, Ann Dooms
Conditionals in Homomorphic Encryption and Machine Learning Applications. - Floriana Benedetti, Alessio Capitanelli, Fulvio Mastrogiovanni, Gianni Viardo Vercelli:
Long-term area coverage and radio relay positioning using swarms of UAVs. - Xunpeng Rao, Panlong Yang, Haipeng Dai, Tao Wu, Hao Zhou, Jing Zhao, Linlin Chen, Peng-Jun Wan:
Deadline-Driven Multi-node Mobile Charging. - Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin:
Language Modeling with Sparse Product of Sememe Experts. - Jiecao Chen, Qin Zhang:
Distinct Sampling on Streaming Data with Near-Duplicates. - Cihan Tugrul Cicek
Backhaul-Aware Placement of a UAV-BS with Bandwidth Allocation for User-Centric Operation and Profit Maximization. - Calvin Smith, Justin Hsu, Aws Albarghouthi:
Trace Abstraction Modulo Probability. - Zakaria el Hjouji, David Scott Hunter, Nicolas Guenon des Mesnards, Tauhid Zaman:
The Impact of Bots on Opinions in Social Networks. - Rachad Atat, Lingjia Liu, Jinsong Wu, Guangyu Li, Chunxuan Ye, Yang Yi:
Big Data Meet Cyber-Physical Systems: A Panoramic Survey. - Patrick H. Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh:
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks. - (Withdrawn) Counting in Language with RNNs.
- Özlem Salehi, Flavio D'Alessandro, A. C. Cem Say:
Language Classes Associated With Automata Over Matrix Groups. - Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar:
Heteroscedastic Bandits with Reneging. - Laura Koesten, Elena Simperl, Emilia Kacprzak, Tom Blount, Jeni Tennison:
Everything you always wanted to know about a dataset: studies in data summarisation. - Julian R. Medina, Jugal Kalita:
Parallel Attention Mechanisms in Neural Machine Translation. - Qiang Liu, Lihong Li, Ziyang Tang, Dengyong Zhou:
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation. - Omair Sarwar, Bernhard Rinner, Andrea Cavallaro:
Concealing the identity of faces in oblique images with adaptive hopping Gaussian mixtures. - Shibo Zhou, Wei Wang:
Object Detection based on LIDAR Temporal Pulses using Spiking Neural Networks. - Manoj Acharya, Kushal Kafle, Christopher Kanan:
TallyQA: Answering Complex Counting Questions. - Sangjae Bae, Yeojun Kim, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura:
Design and Implementation of Ecological Adaptive Cruise Control for Autonomous Driving with Communication to Traffic Lights. - Yingwei Xin, Ethan Hart, Vibhuti Mahajan, Jean-David Ruvini:
Learning Better Internal Structure of Words for Sequence Labeling. - Alexandre Cunha:
Geometric Median Shapes. - Onur Tasar, Yuliya Tarabalka, Pierre Alliez:
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data. - Shuai Tang, Paul Smolensky, Virginia R. de Sa:
Learning Distributed Representations of Symbolic Structure Using Binding and Unbinding Operations. - Milind Rao, Stefano Rini, Andrea Goldsmith:
Distributed Convex Optimization With Limited Communications. - Diego Felipe Paez Granados, Breno A. Yamamoto, Hiroko Kamide, Jun Kinugawa, Kazuhiro Kosuge:
Dance Teaching by a Robot: Combining Cognitive and Physical Human-Robot Interaction for Supporting the Skill Learning Process. - Thomas Powers, Rasool Fakoor, Siamak Shakeri, Abhinav Sethy, Amanjit Kainth, Abdel-rahman Mohamed, Ruhi Sarikaya:
Differentiable Greedy Networks. - Stephen Hausler, Adam Jacobson, Michael Milford:
Feature Map Filtering: Improving Visual Place Recognition with Convolutional Calibration. - Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien:
Inheritance-Based Diversity Measures for Explicit Convergence Control in Evolutionary Algorithms. - Galin Georgiev:
Generating new pictures in complex datasets with a simple neural network. - Tomas Geffner, Justin Domke:
Using Large Ensembles of Control Variates for Variational Inference. - Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid:
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms. - Yen-Chang Hsu, Yen-Cheng Liu, Zsolt Kira:
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines. - Alexander Jordan, François Gauthier, Behnaz Hassanshahi, David Zhao:
SAFE-PDF: Robust Detection of JavaScript PDF Malware Using Abstract Interpretation. - Mohammed Almukaynizi, Ericsson Marin, Eric Nunes, Paulo Shakarian, Gerardo I. Simari, Dipsy Kapoor, Timothy Siedlecki:
DARKMENTION: A Deployed System to Predict Enterprise-Targeted External Cyberattacks. - Yiming Lei, Yukun Tian, Hongming Shan, Junping Zhang, Ge Wang, Mannudeep K. Kalra:
Soft Activation Mapping of Lung Nodules in Low-Dose CT images. - Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu:
Unsupervised Meta-path Reduction on Heterogeneous Information Networks. - Yeping Hu, Wei Zhan, Masayoshi Tomizuka:
A Framework for Probabilistic Generic Traffic Scene Prediction. - Manas Gaur, Saeedeh Shekarpour, Amelie Gyrard, Amit P. Sheth:
empathi: An ontology for Emergency Managing and Planning about Hazard Crisis. - Shin Ando:
Weak-supervision for Deep Representation Learning under Class Imbalance. - Mehran Maghoumi, Joseph J. LaViola Jr.:
DeepGRU: Deep Gesture Recognition Utility. - Weikun Zhen, Sebastian A. Scherer:
A Unified 3D Mapping Framework using a 3D or 2D LiDAR. - Yi Zhu, Jia Xue, Shawn D. Newsam:
Gated Transfer Network for Transfer Learning. - Yi Zhu, Shawn D. Newsam:
Random Temporal Skipping for Multirate Video Analysis. - Zhirui Wang, Laurent Kneip:
Fully automatic structure from motion with a spline-based environment representation. - Qingzhong Wang, Antoni B. Chan:
Gated Hierarchical Attention for Image Captioning. - Lloyd Windrim, Mitch Bryson:
Forest Tree Detection and Segmentation using High Resolution Airborne LiDAR. - Youngwoo Yoon, Woo-Ri Ko, Minsu Jang, Jaeyeon Lee, Jaehong Kim, Geehyuk Lee:
Robots Learn Social Skills: End-to-End Learning of Co-Speech Gesture Generation for Humanoid Robots. - Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh:
Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities. - Biao Zhang, Deyi Xiong, Jinsong Su, Qian Lin, Huiji Zhang:
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks. - Mohammadhossein Sherkat, Tim Miller, Antonette Mendoza, Rachel Burrows:
Emotionalism within People-Oriented Software Design. - Zhijing Jin, Tristan Swedish, Ramesh Raskar:
3D Traffic Simulation for Autonomous Vehicles in Unity and Python. - Yixiong Liang, Yuan Mao, Jiazhi Xia, Yao Xiang, Jianfeng Liu:
Scale-Invariant Structure Saliency Selection for Fast Image Fusion. - Shangwen Wang, Xiaoguang Mao, Nan Niu, Xin Yi, Anbang Guo:
Multi-Location Program Repair: Roads Ahead. - Hong-Hai Phan-Vu, Viet-Trung Tran, Van-Nam Nguyen, Hoang-Vu Dang, Phan-Thuan Do:
Machine Translation between Vietnamese and English: an Empirical Study. - Mahammad Humayoo, Xueqi Cheng:
Relative Importance Sampling For Off-Policy Actor-Critic in Deep Reinforcement Learning. - Haowen Luo:
Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification. - Yi-Chen Chen, Chia-Hao Shen, Sung-Feng Huang, Hung-yi Lee, Lin-Shan Lee:
Almost-unsupervised Speech Recognition with Close-to-zero Resource Based on Phonetic Structures Learned from Very Small Unpaired Speech and Text Data. - Marcos Horro, Gabriel Rodríguez, Juan Touriño, Mahmut T. Kandemir:
Architectural exploration of heterogeneous memory systems. - Chris H. Bahnsen, Thomas B. Moeslund:
Rain Removal in Traffic Surveillance: Does it Matter? - Tobias Plötz, Stefan Roth:
Neural Nearest Neighbors Networks. - Alexander Matyasko, Lap-Pui Chau:
Improved Network Robustness with Adversary Critic. - Rik van Noord, Lasha Abzianidze, Antonio Toral, Johan Bos:
Exploring Neural Methods for Parsing Discourse Representation Structures. - Lingbing Guo, Qingheng Zhang, Weiyi Ge, Wei Hu, Yuzhong Qu:
DSKG: A Deep Sequential Model for Knowledge Graph Completion. - Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini:
Learning-based predictive control for linear systems: a unitary approach. - Matías R. Bender, Jean-Charles Faugère, Ludovic Perret, Elias P. Tsigaridas:
A nearly optimal algorithm to decompose binary forms. - Pilar Rodríguez, Emilia Mendes, Burak Turhan:
Key Stakeholders' Value Propositions for Feature Selection in Software-intensive Products: An Industrial Case Study. - Jie Yang, Yue Zhang, Shuailong Liang:
Subword Encoding in Lattice LSTM for Chinese Word Segmentation. - Zhijie Ren, Zekeriya Erkin:
VAPOR: a Value-Centric Blockchain that is Scale-out, Decentralized, and Flexible by Design. - Aqsa Saeed Qureshi, Asifullah Khan:
Adaptive Transfer Learning in Deep Neural Networks: Wind Power Prediction using Knowledge Transfer from Region to Region and Between Different Task Domains. - (Withdrawn) Deep Learning as Feature Encoding for Emotion Recognition.
- Thomas Pellegrini, Jérôme Farinas, Estelle Delpech, François Lancelot:
The Airbus Air Traffic Control speech recognition 2018 challenge: towards ATC automatic transcription and call sign detection. - Martina Vitovská, Marek Chalupa
SBT-instrumentation: A Tool for Configurable Instrumentation of LLVM Bitcode. - Yusuke Miyazaki, Taro Sekiyama, Atsushi Igarashi:
Dynamic Type Inference for Gradual Hindley-Milner Typing. - Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu, Pascale Fung:
Towards End-to-end Automatic Code-Switching Speech Recognition. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Anastasiia Soldatenkova:
An investigation on the skewness patterns and fractal nature of research productivity distributions at field and discipline level. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
The effect of multidisciplinary collaborations on research diversification. - Daniel Sonntag, Hans-Jürgen Profitlich:
An architecture of open-source tools to combine textual information extraction, faceted search and information visualisation. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
Who benefits from a country's scientific research? - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
The effects of gender, age and academic rank on research diversification. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Gianluca Murgia:
The relationship among research productivity, research collaboration, and their determinants. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
On tit for tat: Franceschini and Maisano versus ANVUR regarding the Italian research assessment exercise VQR 2011-2014. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
Do interdisciplinary research teams deliver higher gains to science? - Lyes Khacef
Neuromorphic hardware as a self-organizing computing system. - Sai Samarth R. Phaye, Emmanouil Benetos, Ye Wang:
SubSpectralNet - Using Sub-Spectrogram based Convolutional Neural Networks for Acoustic Scene Classification. - Nir Douer, Joachim Meyer:
The Responsibility Quantification (ResQu) Model of Human Interaction with Automation. - Uwe D. Reichel, Katalin Mády, Jennifer Cole:
Prosodic entrainment in dialog acts. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Anastasiia Soldatenkova:
How long do top scientists maintain their stardom? An analysis by region, gender and discipline: evidence from Italy. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
Does your surname affect the citability of your publications? - Giovanni Abramo, Ciriaco Andrea D'Angelo:
Refrain from adopting the combination of citation and journal metrics to grade publications, as used in the Italian national research assessment exercise (VQR 2011-2014). - Giovanni Abramo, Ciriaco Andrea D'Angelo, Anastasiia Soldatenkova:
The dispersion of the citation distribution of top scientists' publications. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Francesco Rosati:
The north-south divide in the Italian higher education system. - Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder:
Deep Learning for the Gaussian Wiretap Channel. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
The effect of a country's name in the title of a publication on its visibility and citability. - Yu-Sung Tu, Wei-Torng Juang:
Evolutionarily Stable Preferences Against Multiple Mutations. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
A comparison of university performance scores and ranks by MNCS and FSS. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Leonardo Grilli:
From rankings to funnel plots: the question of accounting for uncertainty when measuring university research performance. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
A farewell to the MNCS and like size-independent indicators. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Gianluca Murgia:
The combined effects of age and seniority on research performance of full professors. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Anastasiia Soldatenkova:
The ratio of top scientists to the academic staff as an indicator of the competitive strength of universities. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Francesco Rosati:
A methodology to measure the effectiveness of academic recruitment and turnover. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
Accounting for gender research performance differences in ranking universities. - Chenhan Jiang, Hang Xu, Xiaodan Liang, Liang Lin:
Hybrid Knowledge Routed Modules for Large-scale Object Detection. - Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant:
Evaluating Text GANs as Language Models. - Vibha Gupta, Arnav Bhavsar:
Role of Class-specific Features in Various Classification Frameworks for Human Epithelial (HEp-2) Cell Images. - Iqbal H. Sarker:
Research Issues in Mining User Behavioral Rules for Context-Aware Intelligent Mobile Applications. - Selvakumar Murugan, Suriyadeepan Ramamoorthy, Vaidheeswaran Archana, Malaikannan Sankarasubbu:
Compositional Attention Networks for Interpretability in Natural Language Question Answering. - Benjamin Marie, Atsushi Fujita:
Unsupervised Neural Machine Translation Initialized by Unsupervised Statistical Machine Translation. - Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy A. Mann, Pushmeet Kohli:
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models. - Bahattin Tolga Öztan, Zoé van Havre, Caio Gomes, Lukas Vermeer:
Mediation Analysis in Online Experiments at Booking.com: Disentangling Direct and Indirect Effects. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Leonardo Grilli:
Funnel plots for visualizing uncertainty in the research performance of institutions. - Lerato Lerato, Thomas Niesler:
Feature Trajectory Dynamic Time Warping for Clustering of Speech Segments. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
An assessment of the first "scientific accreditation" for university appointments in Italy. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
Ranking research institutions by the number of highly-cited articles per scientist. - Silke Czarnetzki, Andreas Krebs, Klaus-Jörn Lange:
Visibly Pushdown Languages and Free Profinite Algebras. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
Evaluating university research: same performance indicator, different rankings. - Alaa Saade, Alice Coucke, Alexandre Caulier, Joseph Dureau, Adrien Ball, Théodore Bluche, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, Maël Primet:
Spoken Language Understanding on the Edge. - Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D'Angelo:
Should the research performance of scientists be distinguished by gender? - Ahmed Sabir, Francesc Moreno-Noguer, Lluís Padró:
Visual Re-ranking with Natural Language Understanding for Text Spotting. - Lerato Lerato, Thomas Niesler:
Cluster Size Management in Multi-Stage Agglomerative Hierarchical Clustering of Acoustic Speech Segments. - Yuqi Yu, Hanbing Yan, Hongchao Guan, Hao Zhou:
DeepHTTP: Semantics-Structure Model with Attention for Anomalous HTTP Traffic Detection and Pattern Mining. - Guoqiang Zhong, Xin Lin, Kang Chen:
Long Short-Term Attention. - Guoqiang Zhong, Guohua Yue, Xiao Ling:
Recurrent Attention Unit. - Supriyo Mandal, Abyayananda Maiti:
Explicit Feedbacks Meet with Implicit Feedbacks : A Combined Approach for Recommendation System. - Jairo Viola, Luis Angel Silva:
Statistical robustness analysis of fractional and integer order PID controllers for the control of a nonlinear system. - Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen:
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving. - Di Jin, Peter Szolovits:
Advancing PICO Element Detection in Medical Text via Deep Neural Networks. - Hao Zhou, Ke Chen:
Transferable Positive/Negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation. - Haaroon Yousaf, George Kappos, Sarah Meiklejohn:
Tracing Transactions Across Cryptocurrency Ledgers. - Bapi Kar, Susmita Sur-Kolay, Chittaranjan A. Mandal:
Early Routability Assessment in VLSI Floorplans: A Generalized Routing Model. - Tomohiro Nishiyama:
Divergence Network: Graphical calculation method of divergence functions. - Jia Kan, Lingyi Zou, Bella Liu, Xin Huang:
Boost Blockchain Broadcast Propagation with Tree Routing. - Tristan Milne:
Piecewise Strong Convexity of Neural Networks. - Yiannis Giannakopoulos
An Improved Algorithm for Computing Approximate Equilibria in Weighted Congestion Games. - Panfeng Li, Youzuo Lin, Emily Schultz-Fellenz:
Encoded Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery. - Weizhou Su, Jieying Lu, Yilin Wu, Minyue Fu, Jie Chen:
Mean-square Stabilizability via Output Feedback for Non-minimum Phase Networked Feedback Systems. - Alina Roitberg, Ziad Al-Halah
Informed Democracy: Voting-based Novelty Detection for Action Recognition. - Dongsoo Lee, Parichay Kapoor, Byeongwook Kim:
DeepTwist: Learning Model Compression via Occasional Weight Distortion. - Sariel Har-Peled, Soham Mazumdar:
Coresets for $k$-Means and $k$-Median Clustering and their Applications. - Giovanni Abramo, Corrado Costa, Ciriaco Andrea D'Angelo:
A multivariate stochastic model to assess research performance. - Guanbin Li, Yukang Gan, Hejun Wu, Nong Xiao, Liang Lin:
Cross-Modal Attentional Context Learning for RGB-D Object Detection. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
How do you define and measure research productivity? - Kele Xu, Boqing Zhu, Qiuqiang Kong, Haibo Mi, Bo Ding, Dezhi Wang, Huaimin Wang:
General audio tagging with ensembling convolutional neural network and statistical features. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
Assessing national strengths and weaknesses in research fields. - Muthuraman Chidambaram, Yinfei Yang, Daniel Cer, Steve Yuan, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil:
Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
Inefficiency in selecting products for submission to national research assessment exercises. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
Variability of research performance across disciplines within universities in non-competitive higher education systems. - Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D'Angelo:
Are the authors of highly cited articles also the most productive ones? - Giovanni Abramo, Ciriaco Andrea D'Angelo, Fulvio Viel:
The suitability of h and g indexes for measuring the research performance of institutions. Scientometrics, 97(3), 555-570. - Bettina Berendt:
AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing. - Robson Bonidia, Luiz A. L. Rodrigues, Anderson P. Avila-Santos, Danilo Sipoli Sanches, Jacques Brancher:
Computational Intelligence in Sports: A Systematic Literature Review. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Francesco Rosati:
Measuring institutional research productivity for the life sciences: the importance of accounting for the order of authors in the byline. - Jaejun Lee, Raphael Tang, Jimmy Lin:
JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis. - Nived Rajaraman, Rahul Vaze:
Submodular Maximization Under A Matroid Constraint: Asking more from an old friend, the Greedy Algorithm. - Jiaming Liu, Yu Sun, Xiaojian Xu, Ulugbek S. Kamilov:
Image Restoration using Total Variation Regularized Deep Image Prior. - Mingjie Sun, Jian Tang, Huichen Li, Bo Li, Chaowei Xiao, Yao Chen, Dawn Song:
Data Poisoning Attack against Unsupervised Node Embedding Methods. - Sheng Zhang, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Kevin Duh, Benjamin Van Durme:
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. - Keenan Breik, Cameron T. Chalk, David Doty, David Haley, David Soloveichik:
Programming Substrate-Independent Kinetic Barriers with Thermodynamic Binding Networks. - Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le:
DropBlock: A regularization method for convolutional networks. - Yuri Burda, Harrison Edwards, Amos J. Storkey, Oleg Klimov:
Exploration by Random Network Distillation. - Michaël Rao, Alexandre Talon:
The 2-domination and Roman domination numbers of grid graphs. - Sumit Bhatia, Deepak P:
Topic-Specific Sentiment Analysis Can Help Identify Political Ideology. - Mohammed Almukaynizi, Vivin Paliath, Malay Shah, Malav Shah, Paulo Shakarian:
Finding Cryptocurrency Attack Indicators Using Temporal Logic and Darkweb Data. - Teodor Tomic, Philipp Lutz, Korbinian Schmid, Andrew Mathers, Sami Haddadin:
Simultaneous Contact and Aerodynamic Force Estimation (s-CAFE) for Aerial Robots. - Ghazaleh Khodabandelou, Vincent Gauthier, Marco Fiore, Mounim A. El-Yacoubi:
Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata. - Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Tanvir, Rehan Hafiz, Semeen Rehman, Muhammad Shafique:
MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks. - Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu:
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. - Elad Ben Baruch, Yosi Keller:
Multimodal matching using a Hybrid Convolutional Neural Network. - Okan Koc, Jan Peters:
Learning to serve: an experimental study for a new learning from demonstrations framework. - Iz Beltagy, Kyle Lo, Waleed Ammar:
Improving Distant Supervision with Maxpooled Attention and Sentence-Level Supervision. - Han Liu, Lei Wang, Yandong Nan, Faguang Jin, Jiantao Pu:
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images. - Ed Wynn:
A comparison of encodings for cardinality constraints in a SAT solver. - Sitan Chen, Michelle Delcourt, Ankur Moitra, Guillem Perarnau, Luke Postle:
Improved Bounds for Randomly Sampling Colorings via Linear Programming. - Dekel Tsur:
Weighted vertex cover on graphs with maximum degree 3. - Samad Ali, Aidin Ferdowsi, Walid Saad, Nandana Rajatheva, Jussi Haapola:
Sleeping Multi-Armed Bandit Learning for Fast Uplink Grant Allocation in Machine Type Communications. - Ömer Sahin Tas, Christoph Stiller:
Limited Visibility and Uncertainty Aware Motion Planning for Automated Driving. - Lutz Bornmann, Sven E. Hug, Julian N. Marewski:
Bibliometrics-based heuristics: What is their definition and how can they be studied? - Jaber Kakar, Seyedhamed Ebadifar, Aydin Sezgin:
Rate-Efficiency and Straggler-Robustness through Partition in Distributed Two-Sided Secure Matrix Computation. - Nikhil Garg, Ramesh Johari:
Designing Informative Rating Systems for Online Platforms: Evidence from Two Experiments. - Benjamin Brock, Aydin Buluç, Katherine A. Yelick:
BCL: A Cross-Platform Distributed Container Library. - Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts:
Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences. - Guilherme de C. M. Gomes, Carlos V. G. C. Lima, Vinícius Fernandes dos Santos:
Parameterized Complexity of Equitable Coloring. - Dan Sholler, Karthik Ram, Carl Boettiger, Daniel S. Katz:
Enforcing public data archiving policies in academic publishing: A study of ecology journals. - Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed:
Scalable Laplacian K-modes. - Siyuan Huang, Siyuan Qi, Yinxue Xiao, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation. - Perla Sai Raj Kishore, Ayan Kumar Bhunia, Shuvozit Ghose, Partha Pratim Roy:
User Constrained Thumbnail Generation using Adaptive Convolutions. - Michael Mu Sun, Akash Ghosh, Rajesh Sharma, Sandeep Kaur Kuttal:
Birds of a Feather Flock Together? A Study of Developers' Flocking and Migration Behavior in GitHub and Stack Overflow. - Warit Sirichotedumrong, Tatsuya Chuman, Hitoshi Kiya:
Compression Performance of Grayscale-based Image Encryption for Encryption-then-Compression Systems. - Ruizhe Long, Huayan Guo, Gang Yang, Ying-Chang Liang, Rui Zhang:
Symbiotic Radio: A New Communication Paradigm for Passive Internet-of-Things. - Xiaowu Sun, Haitham Khedr, Yasser Shoukry:
Formal Verification of Neural Network Controlled Autonomous Systems. - Md Main Uddin Rony, Mohammad Yousuf, Naeemul Hassan:
A Large-scale Study of Social Media Sources in News Articles. - Yu-Chi Lin, Brahayam Ponton, Ludovic Righetti, Dmitry Berenson:
Efficient Humanoid Contact Planning using Learned Centroidal Dynamics Prediction. - Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay:
GraphIE: A Graph-Based Framework for Information Extraction. - Yunus Emre Sahin, Petter Nilsson, Necmiye Ozay:
Multirobot Coordination with Counting Temporal Logics. - Yan Yin, Ramon Prieto, Bin Wang, Jianwei Zhou, Yiwei Gu, Yang Liu, Hui Lin:
Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native English. - Ne Luo, Dongwei Jiang, Shuaijiang Zhao, Caixia Gong, Wei Zou, Xiangang Li:
Towards End-to-End Code-Switching Speech Recognition. - Ngan Dong, Kim Anh Nguyen:
Attentive Neural Network for Named Entity Recognition in Vietnamese. - Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao:
Low-Rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. - Zhongdao Wang, Liang Zheng, Shengjin Wang:
Query Adaptive Late Fusion for Image Retrieval. - Ertug Karamatli, Ali Taylan Cemgil, Serap Kirbiz:
Weak Label Supervision for Monaural Source Separation Using Non-negative Denoising Variational Autoencoders. - Jennifer Jang, Heinrich Jiang:
DBSCAN++: Towards fast and scalable density clustering. - Andros Tjandra, Sakriani Sakti, Satoshi Nakamura:
End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator. - André Belotto da Silva, Maxime Gazeau:
A general system of differential equations to model first order adaptive algorithms. - Peng Kang, Yixuan Xie, Lei Yang, Chen Zheng, Jinhong Yuan, Yuejun Wei:
Enhanced Quasi-Maximum Likelihood Decoding of Short LDPC Codes based on Saturation. - Won-Ik Cho, Sung Jun Cheon, Woo Hyun Kang, Ji Won Kim, Nam Soo Kim:
Real-time Automatic Word Segmentation for User-generated Text. - Yiling Yuan, Tao Yang, Yulin Hu, Hui Feng, Bo Hu:
Matching Game Based Framework for Two-Timescale Cooperative D2D Communication. - Cem Keskin, Shahram Izadi:
SplineNets: Continuous Neural Decision Graphs. - Kaiyu Yue, Ming Sun, Yuchen Yuan, Feng Zhou, Errui Ding, Fuxin Xu:
Compact Generalized Non-local Network. - Fang Liu, Yu-Wang Chen, Jian-Bo Yang, Dong-Ling Xu, Wei-Shu Liu:
Solving multiple-criteria R&D project selection problems with a data-driven evidential reasoning rule. - Megha Srivastava, Kalanit Grill-Spector:
The Effect of Learning Strategy versus Inherent Architecture Properties on the Ability of Convolutional Neural Networks to Develop Transformation Invariance. - Omar I. Al-Bataineh, David S. Rosenblum, Mark Reynolds:
Efficient LTL Decentralized Monitoring Framework Using Formula Simplification Table. - Jie Xu:
Cardinalities estimation under sliding time window by sharing HyperLogLog Counter. - Jiale Huang, Jigang Wu, Long Chen:
Coalitional Game Based Carpooling Algorithms for Quality of Experience. - Naima Chouikhi, Adel M. Alimi:
Adaptive Extreme Learning Machine for Recurrent Beta-basis Function Neural Network Training. - Ondrej Mokrý, Pavel Záviska, Pavel Rajmic, Vítezslav Veselý:
Introducing SPAIN (SParse Audion INpainter). - Thierno M. L. Diallo, Sébastien Henry
Towards a more efficient use of process and product traceability data for continuous improvement of industrial performances. - Agus Sulistya, Gede Artha Azriadi Prana, Abhishek Sharma, David Lo, Christoph Treude:
SIEVE: Helping Developers Sift Wheat from Chaff via Cross-Platform Analysis. - Jing Yu, Chenghao Yang, Zengchang Qin, Zhuoqian Yang, Yue Hu, Yanbing Liu:
Textual Relationship Modeling for Cross-Modal Information Retrieval. - Sanjay Jain, Bakhadyr Khoussainov, Philipp Schlicht, Frank Stephan:
The isomorphism problem for tree-automatic ordinals with addition. - Guoqiang Zhong, Wencong Jiao, Wei Gao:
Structure Learning of Deep Neural Networks with Q-Learning. - Xiaoshen Song, Thomas Kühne, Giuseppe Caire:
Fully-Connected vs. Sub-Connected Hybrid Precoding Architectures for mmWave MU-MIMO. - Zeeshan Haider, Muhammad Saleem, Tauseef Jamal:
Analysis of Interference in Wireless Networks. - Natalia Díaz Rodríguez, Vincenzo Lomonaco, David Filliat, Davide Maltoni:
Don't forget, there is more than forgetting: new metrics for Continual Learning. - Mehdi Benallegue, Abdelaziz Benallegue, Yacine Chitour:
Tilt estimator for 3D non-rigid pendulum based on a tri-axial accelerometer and gyrometer. - Seong-Min Hwang, Gwanghyun Yu, Nazeer Shahid, Huy Toan Nguyen, Jinyoung Kim:
Inception-Residual Block based Neural Network for Thermal Image Denoising. - Lei Li, Zhaoqiang Xia, Abdenour Hadid, Xiaoyue Jiang, Fabio Roli, Xiaoyi Feng:
Face Presentation Attack Detection in Learned Color-liked Space. - Ankur Sharma, Felix Martin Schuhknecht, Divya Agrawal, Jens Dittrich:
How to Databasify a Blockchain: the Case of Hyperledger Fabric. - Yiqing Hua, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli
WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community. - Benny Van Houdt:
Randomized Work Stealing versus Sharing in Large-scale Systems with Non-exponential Job Sizes. - Anders Aamand, Mikkel Thorup:
Non-Empty Bins with Simple Tabulation Hashing. - Samia Chehbi-Gamoura, Yacine Ouzrout, Abdelaziz Bouras:
Multi-Layers Supply chain modelling based on Multi-Agent Approach. - Laurent Buzon, Abdelaziz Bouras, Yacine Ouzrout:
Infrastructure for the representation and electronic exchange of design knowledge. - Qiang Hu, Hao Zhang:
Nearly-tight bounds on linear regions of piecewise linear neural networks. - Napaporn Reeveerakul, Ridha Derrouiche, Nopasit Chakpitak, Yacine Ouzrout, Napat Harnpornchai, Abdelaziz Bouras:
A Decision Support Framework for Manufacturing Improvement and Relocation Prevention in Thailand: Supply Chain Perspective. - Thitiya Manakitsirisuthi, Yacine Ouzrout, Abdelaziz Bouras:
A multi-agent system for managing the product lifecycle sustainability. - Valentin Vielzeuf, Corentin Kervadec
The Many Moods of Emotion. - Amirafshar Moshtaghpour, José M. Bioucas-Dias, Laurent Jacques:
Compressive Single-pixel Fourier Transform Imaging using Structured Illumination. - Chen Chen, Wenjia Bai, Daniel Rueckert:
Multi-Task Learning for Left Atrial Segmentation on GE-MRI. - Himangshu Sarma, Navanath Saharia:
A speech-based driver assisting module for Intelligent Transport System. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
When research assessment exercises leave room for opportunistic behavior by the subjects under evaluation. - Ankur Padia, Francis Ferraro, Tim Finin:
SURFACE: Semantically Rich Fact Validation with Explanations. - Quoc Dang Vu, Simon Graham, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Tahsin M. Kurç, Keyvan Farahani, Tianhao Zhao, Rajarsi R. Gupta, Jin Tae Kwak, Nasir M. Rajpoot, Joel H. Saltz:
Methods for Segmentation and Classification of Digital Microscopy Tissue Images. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Francesco Rosati:
Career advancement and scientific performance in universities. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Francesco Rosati:
Relatives in the same university faculty: nepotism or merit? - Giovanni Abramo, Ciriaco Andrea D'Angelo, Francesco Rosati:
Selection committees for academic recruitment: does gender matter? - Soheil Abbasloo, Yang Xu, H. Jonathan Chao:
C2TCP: A Flexible Cellular TCP to Meet Stringent Delay Requirements. - Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation. - Lei Yu, Vincent Y. F. Tan:
Exact Channel Synthesis. - Mei Lin, Vanya Jaitly, Iris Wang, Zhihong Hu, Lei Chen, Md. Amer Wahed, Zeyad Kanaan, Adan Rios, Andy N. D. Nguyen:
Application of Deep Learning on Predicting Prognosis of Acute Myeloid Leukemia with Cytogenetics, Age, and Mutations. - Ryo Suzuki, Koji Yatani, Mark D. Gross, Tom Yeh:
Tabby: Explorable Design for 3D Printing Textures. - Jinyuan Chen:
Secure Communication over Interference Channel: To Jam or Not to Jam? - Amichai Painsky, Meir Feder, Naftali Tishby:
An Information-Theoretic Framework for Non-linear Canonical Correlation Analysis. - Rasmus Ejlers Møgelberg, Niccolò Veltri:
Bisimulation as path type for guarded recursive types. - Alexandre Boulch, Noëlie Cherrier, Thibaut Castaings:
Ionospheric activity prediction using convolutional recurrent neural networks. - Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D'Angelo:
National peer-review research assessment exercises for the hard sciences can be a complete waste of money: the Italian case. - Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen:
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Francesco Rosati:
The importance of accounting for the number of co-authors and their order when assessing research performance at the individual level in the life sciences. - Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D'Angelo:
The impact of unproductive and top researchers on overall university research performance. - Dong Liu, Binqiang Chen, Chenyang Yang, Andreas F. Molisch:
Caching at the Wireless Edge: Design Aspects, Challenges and Future Directions. - Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D'Angelo:
How important is choice of the scaling factor in standardizing citations? - Duc Tam Nguyen, Zhongyu Lou, Michael Klar, Thomas Brox:
Consistency-based anomaly detection with adaptive multiple-hypotheses predictions. - Lukas Barth, Guido Brückner, Paul Jungeblut, Marcel Radermacher:
Multilevel Planarity. - Albert Clérigues, Sergi Valverde, José Bernal, Jordi Freixenet, Arnau Oliver, Xavier Lladó:
SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI. - Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yufeng Li, Wei-Wei Tu, Qiang Yang, Yang Yu:
Taking Human out of Learning Applications: A Survey on Automated Machine Learning. - Jukka Ruohonen:
An Empirical Analysis of Vulnerabilities in Python Packages for Web Applications. - Naman Goel, Boi Faltings:
Crowdsourcing with Fairness, Diversity and Budget Constraints. - (Withdrawn) Convolutional Self-Attention Network.
- Sathya Peri, Chandra Kiran Reddy, Muktikanta Sa:
A Concurrent Unbounded Wait-Free Graph. - Oylum Seker, Pinar Heggernes, Tínaz Ekim, Z. Caner Taskin:
Generation of random chordal graphs using subtrees of a tree. - Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis:
Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog. - Doyun Kim, Hanyoung Yim, Sanghyuck Ha, Changgwun Lee, Inyup Kang:
Convolutional Neural Network Quantization using Generalized Gamma Distribution. - Mirza Galib Anwarul Husain Baig, Deepanjan Kesh, Chirag Sodani:
A Two Query Adaptive Bitprobe Scheme Storing Five Elements. - Siraprapa Wattanakul, Sébastien Henry
Improving risk management by using smart containers for real-time traceability. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
The VQR, Italy's second national research assessment: Methodological failures and ranking distortions. - Manuel Bodirsky:
Finite Relation Algebras with Normal Representations. - Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt:
Learning to Represent Edits. - Helena Peic Tukuljac, Antoine Deleforge, Rémi Gribonval:
MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
The relationship between the number of authors of a publication, its citations and the impact factor of the publishing journal: Evidence from Italy. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
A methodology to compute the territorial productivity of scientists: The case of Italy. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
A new approach to measure the scientific strengths of territories. - Farhad Shirani, Siddharth Garg, Elza Erkip:
Matching Graphs with Community Structure: A Concentration of Measure Approach. - Keyang Xu, Mike Lam, Jingzhi Pang, Xin Gao, Charlotte Band, Piyush Mathur, Frank Papay, Ashish K. Khanna, Jacek B. Cywinski, Kamal Maheshwari, Pengtao Xie, Eric P. Xing:
Multimodal Machine Learning for Automated ICD Coding. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
The spin-off of elite universities in non-competitive, undifferentiated higher education systems: an empirical simulation in Italy. - Arpit Agarwal, Sepehr Assadi, Sanjeev Khanna:
Stochastic Submodular Cover with Limited Adaptivity. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Gianluca Murgia:
Variation in research collaboration patterns across academic ranks. - Amos Beimel, Ronen I. Brafman:
Privacy Preserving Multi-Agent Planning with Provable Guarantees. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Gianluca Murgia:
Gender differences in research collaboration. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Fulvio Viel:
Selecting competent referees to assess research projects proposals: a study of referees' registers. - Davino Mauro Junior, Kiev Gama, Atul Prakash:
Securing IoT Apps with Fine-grained Control of Information Flows. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Tindaro Cicero:
What is the appropriate length of the publication period over which to assess research performance? - Yi Zhen, Lei Wang, Han Liu, Jian Zhang, Jiantao Pu:
Performance assessment of the deep learning technologies in grading glaucoma severity. - José Alberto Hernández, Rafael Sánchez, Ignacio Martín, David Larrabeiti:
Meeting the traffic requirements of residential users in the next decade with current FTTH standards: how much? how long? - Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D'Angelo:
Revisiting the scaling of citations for research assessment. - Siyuan Dong, Daolin Ma
Maintaining Grasps within Slipping Bound by Monitoring Incipient Slip. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Marco Ferretti, Adele Parmentola:
An individual-level assessment of the relationship between spin-off activities and research performance in universities. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Marco Solazzi:
A bibliometric tool to assess the regional dimension of university-industry research collaborations. - Su Wang, Eric Holgate, Greg Durrett, Katrin Erk:
Picking Apart Story Salads. - Chaoyue Liu, Mikhail Belkin:
MaSS: an Accelerated Stochastic Method for Over-parametrized Learning. - Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter:
Differentiable MPC for End-to-end Planning and Control. - Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, René Donner, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. - Ofir Press, Noah A. Smith:
You May Not Need Attention. - Gerasimos Lampouras, Ion Androutsopoulos:
Extracting Linguistic Resources from the Web for Concept-to-Text Generation. - Saeid Haghighatshoar, Giuseppe Caire:
Multiple Measurement Vectors Problem: A Decoupling Property and its Applications. - Jan Malakhovski:
Exceptionally Monadic Error Handling. - Daniel J. Milroy, Allison H. Baker, Dorit M. Hammerling, Youngsung Kim, Elizabeth R. Jessup, Thomas Hauser:
Making root cause analysis feasible for large code bases: a solution approach for a climate model. - Kai Sun, Dian Yu, Dong Yu, Claire Cardie:
Improving Machine Reading Comprehension with General Reading Strategies. - Yong Wang:
Structured Parallel Programming Language Based on True Concurrency. - Brian Hu, Stefan Mihalas:
Convolutional neural networks with extra-classical receptive fields. - Konstantinos Gatsis, Hamed Hassani, George J. Pappas:
Latency-Reliability Tradeoffs for State Estimation. - Xinpei Zhou, Jiwei Li, Xi Zhou:
Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech Recognition. - Corentin Briat, Mustafa Khammash:
In-Silico Proportional-Integral Moment Control of Stochastic Reaction Networks with Applications to Gene Expression (with Dimerization). - Raul J. Mondragón:
Beyond the rich-club: Properties of networks related to the better connected nodes. - Murat A. Erdogdu, Lester Mackey, Ohad Shamir:
Global Non-convex Optimization with Discretized Diffusions. - Siddarth Srinivasan, Carlton Downey, Byron Boots:
Learning and Inference in Hilbert Space with Quantum Graphical Models. - Jonathan Maack, Bruce Turkington:
Reduced models of point vortex systems. - Denis Dresvyanskiy, Tatiana Karaseva, Sergei Mitrofanov, Claudia Redenbach, Stefanie Schwaar, Vitalii Makogin, Evgeny Spodarev:
Application of Clustering Methods to Anomaly Detection in Fibrous Media. - Martin Lotz, Michael B. McCoy, Ivan Nourdin, Giovanni Peccati, Joel A. Tropp:
Concentration of the Intrinsic Volumes of a Convex Body. - Gustav Markkula, Richard Romano, Rachel Waldram, Oscar Giles, Callum D. Mole, Richard M. Wilkie:
Modelling visual-vestibular integration and behavioural adaptation in the driving simulator. - Ashkan Esmaeili, Farokh Marvasti:
A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure. - Roberto Souza, Richard Frayne:
A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction. - Christian Borgs, Jennifer T. Chayes, Adam D. Smith, Ilias Zadik:
Private Algorithms Can Always Be Extended. - Xi Zhang, Xiaolin Wu:
Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding. - Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku:
Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks. - Joseph D. O'Brien, Ioannis K. Dassios, James P. Gleeson:
Spreading of Memes on Multiplex Networks. - Gerold Jäger, Klas Markström, Lars-Daniel Öhman, Denys Shcherbak:
Triples of Orthogonal Latin and Youden Rectangles For Small Orders. - Li-Wei Chen, Hung-yi Lee, Yu Tsao:
Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech. - Pablo A. Alvarado, Mauricio A. Álvarez
Sparse Gaussian process Audio Source Separation Using Spectrum Priors in the Time-Domain. - Gaël Letarte, Emilie Morvant, Pascal Germain:
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior. - Fuming Fang, Xin Wang, Junichi Yamagishi, Isao Echizen:
Audiovisual speaker conversion: jointly and simultaneously transforming facial expression and acoustic characteristics. - Felix Huber:
Efficient Tree Solver for Hines Matrices on the GPU. - Loc Hoang Tran, Trang Hoang, Bui Hoang Nam Huynh:
Hypergraph based semi-supervised learning algorithms applied to speech recognition problem: a novel approach. - Vincent Dutordoir, Hugh Salimbeni, Marc Peter Deisenroth, James Hensman:
Gaussian Process Conditional Density Estimation. - Gil Keren, Jing Han, Björn W. Schuller:
Scaling Speech Enhancement in Unseen Environments with Noise Embeddings. - Cheng Qian, Nicholas D. Sidiropoulos, Magda Amiridi, Amin Emad:
From Gene Expression to Drug Response: A Collaborative Filtering Approach. - Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps:
Quickest Detection Of Deviations From Periodic Statistical Behavior. - María J. Palazzi, Javier Borge-Holthoefer, Claudio J. Tessone, Albert Solé-Ribalta:
Antagonistic Structural Patterns in Complex Networks. - François Le Gall:
Average-Case Quantum Advantage with Shallow Circuits. - Gorka Zamora-López, Romain Brasselet:
Sizing the length of complex networks. - Christian Majenz:
Constraints on Multipartite Quantum Entropies. - Alexander Y. Sun:
Discovering state-parameter mappings in subsurface models using generative adversarial networks. - Pedro Carlos da S. Lara, Luís Tarrataca, Diego B. Haddad:
Exact Expectation Analysis of the Deficient-Length LMS Algorithm. - Sebastian S. Johann, Sven O. Krumke, Manuel Streicher:
Simultaneous Dominating Set for Spanning Tree Factorings. - Xiangru Xu, Adam M. Tahir, Behçet Açikmese:
Robust Stabilization of Nonlinear Systems Using Periodic Event-triggered Control. - Tsung-Han Hsieh, Li Su, Yi-Hsuan Yang:
A Streamlined Encoder/Decoder Architecture for Melody Extraction. - Albert Solé-Ribalta, Alex Arenas, Sergio Gómez:
Effect of shortest path multiplicity on congestion of multiplex networks. - Oscar Rahnama, Tommaso Cavallari, Stuart Golodetz, Simon Walker, Philip H. S. Torr:
R$^3$SGM: Real-time Raster-Respecting Semi-Global Matching for Power-Constrained Systems. - Andreas Bärmann, Alexander Martin, Sebastian Pokutta, Oskar Schneider:
An Online-Learning Approach to Inverse Optimization. - Sayed Abdullah Sadat, E. Sreesobha, P. V. N. Prasad:
Power Factor Correction of Inductive Loads using PLC. - Qiujia Li, Preben Ness, Anton Ragni, Mark J. F. Gales:
Bi-Directional Lattice Recurrent Neural Networks for Confidence Estimation. - Anton Ragni, Qiujia Li, Mark J. F. Gales, Yu Wang:
Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks. - Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez:
Stochastic Optimal Control of Epidemic Processes in Networks. - Cheng-I Lai, Alberto Abad, Korin Richmond, Junichi Yamagishi, Najim Dehak, Simon King:
Attentive Filtering Networks for Audio Replay Attack Detection. - Wenchao Du, Hu Chen, Peixi Liao, Hongyu Yang, Ge Wang
Visual Attention Network for Low Dose CT. - Xi Chen, Yining Wang, Yuan Zhou:
Dynamic Assortment Optimization with Changing Contextual Information. - Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar:
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. - Nicolas Loizou, Michael G. Rabbat, Peter Richtárik
Provably Accelerated Randomized Gossip Algorithms. - Srikanth Raj Chetupalli, Anirban Bhowmick, Thippur V. Sreenivas:
Latent variable approach to diarization of audio recordings using ad-hoc randomly placed mobile devices. - Peter Bloem, Steven de Rooij:
A tutorial on MDL hypothesis testing for graph analysis. - Ondrej Novotný, Oldrich Plchot, Ondrej Glembek, Lukás Burget, Pavel Matejka:
Discriminatively Re-trained i-vector Extractor for Speaker Recognition. - Alessandro Rudi, Daniele Calandriello, Luigi Carratino, Lorenzo Rosasco:
On Fast Leverage Score Sampling and Optimal Learning. - Stephanie Friedhoff, Jens Hahne, Iryna Kulchytska-Ruchka, Sebastian Schöps:
Exploring Parallel-in-Time Approaches for Eddy Current Problems. - Xiaoyu Lu, Tom Rainforth, Yuan Zhou, Jan-Willem van de Meent, Yee Whye Teh:
On Exploration, Exploitation and Learning in Adaptive Importance Sampling. - Abdi-Hakin Dirie, Abubakar Abid, James Y. Zou:
Contrastive Multivariate Singular Spectrum Analysis. - Michaël Perrot, Ulrike von Luxburg:
Boosting for Comparison-Based Learning. - David G. T. Barrett, Ari S. Morcos, Jakob H. Macke:
Analyzing biological and artificial neural networks: challenges with opportunities for synergy? - Hao Tang, James R. Glass:
On The Inductive Bias of Words in Acoustics-to-Word Models. - Jayaraman J. Thiagarajan, Irene Kim, Rushil Anirudh, Peer-Timo Bremer:
Understanding Deep Neural Networks through Input Uncertainties. - Jayaraman J. Thiagarajan, Rushil Anirudh, Rahul Sridhar, Peer-Timo Bremer:
Unsupervised Dimension Selection using a Blue Noise Spectrum. - Rihui Ou, Alexander L. Young, David B. Dunson:
Clustering-Enhanced Stochastic Gradient MCMC for Hidden Markov Models with Rare States. - Kristy L. Schlueter-Kuck, John O. Dabiri:
Model parameter estimation using coherent structure coloring. - Drew Mitchell, Nan Ye, Hans De Sterck:
Nesterov Acceleration of Alternating Least Squares for Canonical Tensor Decomposition: Momentum Step Size Selection and Restart Mechanisms. - Dan Li, Dariush Fooladivanda, Sonia Martínez:
Data-driven Variable Speed Limit Design for Highways via Distributionally Robust Optimization. - Kiril Bangachev:
Enumerative and Structural Aspects Of Anagrams Without Fixed Letters. - Florian Krüger, Tobias Gergs, Jan Trieschmann:
Machine learning plasma-surface interface for coupling sputtering and gas-phase transport simulations.
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