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CoRR, June 2018
- Rudrasis Chakraborty, Chun-Hao Yang, Baba C. Vemuri:
A mixture model for aggregation of multiple pre-trained weak classifiers. - Truong-Huy D. Nguyen, Kasper Grispino, Damian M. Lyons:
Towards Affective Drone Swarms: A Preliminary Crowd-Sourced Study. - Ji Feng, Yang Yu, Zhi-Hua Zhou:
Multi-Layered Gradient Boosting Decision Trees. - Bastien Maubert, Aniello Murano:
Reasoning about Knowledge and Strategies. - Andy Edmonds, Chris Woods, Ana Juan Ferrer, Juan Francisco Ribera, Thomas Michael Bohnert:
Blip: JIT and Footloose On The Edge. - Ilias Diakonikolas, Weihao Kong, Alistair Stewart:
Efficient Algorithms and Lower Bounds for Robust Linear Regression. - Subhojeet Pramanik, Aman Hussain:
Text Normalization using Memory Augmented Neural Networks. - Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi:
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. - Andrew Cotter, Maya R. Gupta, Heinrich Jiang, James Muller, Taman Narayan, Serena Lutong Wang, Tao Zhu:
Interpretable Set Functions. - Biao He, Hamid Jafarkhani:
Millimeter Wave Communications with Reconfigurable Antennas. - Taesung Lee, Benjamin Edwards, Ian M. Molloy, Dong Su:
Defending Against Model Stealing Attacks Using Deceptive Perturbations. - Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
Privacy Under Hard Distortion Constraints. - Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency:
Efficient Low-rank Multimodal Fusion with Modality-Specific Factors. - Leilani H. Gilpin, David Bau, Ben Z. Yuan, Ayesha Bajwa, Michael A. Specter, Lalana Kagal:
Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning. - Cheuk Ting Li, Xiugang Wu, Ayfer Özgür, Abbas El Gamal:
Minimax Learning for Remote Prediction. - Partha Ghosh, Arpan Losalka, Michael J. Black:
Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders. - Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas:
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. - Chaomei Chen:
Cascading Citation Expansion. - Ibrahim Alsolami, Wolfgang Heidrich:
Imaging with SPADs and DMDs: Seeing through Diffraction-Photons. - Daniel Méndez Fernández, Wolfgang Böhm, Andreas Vogelsang, Jakob Mund, Manfred Broy, Marco Kuhrmann, Thorsten Weyer:
Artefacts in Software Engineering: What are they after all? - Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu:
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. - Yasamin Jafarian, Yuan Yao, Hyun Soo Park:
MONET: Multiview Semi-supervised Keypoint via Epipolar Divergence. - Jaime F. Fisac, Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Steven Wang, Claire J. Tomlin, Anca D. Dragan:
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions. - Jonathan Vacher, Pascal Mamassian, Ruben Coen Cagli:
An Ideal Observer Model to Probe Human Visual Segmentation of Natural Images. - Ian Abraham, Anastasia Mavrommati, Todd D. Murphey:
Data-Driven Measurement Models for Active Localization in Sparse Environments. - Yulin Zhang, Dylan A. Shell:
Complete characterization of a class of privacy-preserving tracking problems. - Christoph Redl:
Technical Report: Inconsistency in Answer Set Programs and Extensions. - Amrita Ghosal, Mauro Conti:
Key Management Systems for Smart Grid Advanced Metering Infrastructure: A Survey. - Tiancheng Liu, Yuchen Qian, Xi Chen, Xiaobai Sun:
Damping Effect on PageRank Distribution. - Jie Yuan, Abdullah Ates, Sina Dehghan, Yang Zhao, Shumin Fei, YangQuan Chen:
PID2018 Benchmark Challenge: Model-based Feedforward Compensator with A Conditional Integrator. - Vamsi K. Amalladinne, Avinash Vem, Dileep Kumar Soma, Krishna R. Narayanan, Jean-François Chamberland:
A Coupled Compressive Sensing Scheme for Unsourced Multiple Access. - Bharath Ramsundar, Roger Chen, Alok Vasudev, Rob Robbins, Artur Gorokh:
Tokenized Data Markets. - Priyam Parashar, Akansel Cosgun, Alireza Nakhaei, Kikuo Fujimura:
Modeling Preemptive Behaviors for Uncommon Hazardous Situations From Demonstrations. - Frank Nielsen, Ke Sun:
q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators. - Nathalie Majcherczyk, Adhavan Jayabalan, Giovanni Beltrame, Carlo Pinciroli:
Decentralized Connectivity-Preserving Deployment of Large-Scale Robot Swarms. - Juyoung Lee, Yoseob Han, Jong Chul Ye:
k-Space Deep Learning for Reference-free EPI Ghost Correction. - Najmeh Sadoughi, Carlos Busso:
Speech-Driven Expressive Talking Lips with Conditional Sequential Generative Adversarial Networks. - Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch:
Training LSTM Networks with Resistive Cross-Point Devices. - Ramtin Keramati, Jay Whang, Patrick Cho, Emma Brunskill:
Strategic Object Oriented Reinforcement Learning. - Wonyeol Lee, Hangyeol Yu, Hongseok Yang:
Reparameterization Gradient for Non-differentiable Models. - Ke Sun, Mingjie Li, Dong Liu, Jingdong Wang:
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks. - George Philipp, Jaime G. Carbonell:
The Nonlinearity Coefficient - Predicting Overfitting in Deep Neural Networks. - Branko Ristic, Jeremie Houssineau, Sanjeev Arulampalam:
Robust TMA using the possibility particle filter. - Qiangqiang Yuan, Qiang Zhang, Jie Li, Huanfeng Shen, Liangpei Zhang:
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network. - Nayyer Aafaq, Syed Zulqarnain Gilani, Wei Liu, Ajmal Mian:
Video Description: A Survey of Methods, Datasets and Evaluation Metrics. - Myle Ott, Sergey Edunov, David Grangier, Michael Auli:
Scaling Neural Machine Translation. - Yulun Tian, Kasra Khosoussi, Matthew Giamou, Jonathan P. How, Jonathan Kelly:
Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection. - Jatin Bedi, Durga Toshniwal:
SFA-GTM: Seismic Facies Analysis Based on Generative Topographic Map and RBF. - Chen Huang, Yining Li, Chen Change Loy, Xiaoou Tang:
Deep Imbalanced Learning for Face Recognition and Attribute Prediction. - Yang Lyu, Quan Pan, Jinwen Hu, Chunhui Zhao, Shuai Liu:
Multi-vehicle Flocking Control with Deep Deterministic Policy Gradient Method. - Keisuke Goto, Tomohiro I, Hideo Bannai, Shunsuke Inenaga:
Block Palindromes: A New Generalization of Palindromes. - Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo, Ryota Kanai:
Being curious about the answers to questions: novelty search with learned attention. - Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang:
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. - Warut Suksompong:
Asymptotic Existence of Proportionally Fair Allocations. - Iman Tahamtan, Lutz Bornmann:
Creativity in Science and the Link to Cited References: Is the Creative Potential of Papers Reflected in their Cited References? - Thomas Minier, Hala Skaf-Molli, Pascal Molli:
SaGe: Preemptive Query Execution for High Data Availability on the Web. - Junsuk Choe, Joo Hyun Park, Hyunjung Shim:
Unsupervised Object Localization using Generative Adversarial Networks. - Simone Silvetti, Laura Nenzi, Ezio Bartocci, Luca Bortolussi:
Signal Convolution Logic. - Lukas Holzbaur, Ragnar Freij-Hollanti, Antonia Wachter-Zeh, Camilla Hollanti:
Private Streaming with Convolutional Codes. - Zoran Hadzi-Velkov, Slavche Pejoski, Nikola Zlatanov, Robert Schober:
Proportional Fairness in ALOHA Networks with RF Energy Harvesting. - Roxana Istrate, Florian Scheidegger, Giovanni Mariani, Dimitrios S. Nikolopoulos, Costas Bekas, A. Cristiano I. Malossi:
TAPAS: Train-less Accuracy Predictor for Architecture Search. - Moses Ganardi, Stefan Göller, Markus Lohrey:
The Complexity of Bisimulation and Simulation on Finite Systems. - Ligang Zhang, Jiulong Zhang:
Synchronous Prediction of Arousal and Valence Using LSTM Network for Affective Video Content Analysis. - Chenhui Chu, Rui Wang:
A Survey of Domain Adaptation for Neural Machine Translation. - Fabio Calefato, Giovanna Castellano, Veronica Rossano:
A Revision Control System for Image Editing in Collaborative Multimedia Design. - Ting-Ting Liang, Satoshi Tsutsui, Liangcai Gao, Jing-Jing Lu, Mengyan Sun:
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion. - Firat Özdemir, Philipp Fürnstahl, Orçun Göksel:
Learn the new, keep the old: Extending pretrained models with new anatomy and images. - Paul Schmitt, Anne Edmundson, Nick Feamster:
Oblivious DNS: Practical Privacy for DNS Queries. - Seyed Mehdi Nasiri, Reshad Hosseini, Hadi Moradi:
A Recursive Least Square Method for 3D Pose Graph Optimization Problem. - Zong-Yuan Tan, Ning Cai, Jian Zhou:
Analysis of Peer Review Effectiveness for Academic Journals Based on Distributed Parallel System. - Andrija Stajduhar, Domagoj Dzaja, Milos Judas, Sven Loncaric:
Automatic Detection of Neurons in NeuN-stained Histological Images of Human Brain. - Dogan Corus, Pietro S. Oliveto, Donya Yazdani:
Fast Artificial Immune Systems. - Dogan Corus, Pietro S. Oliveto, Donya Yazdani:
Artificial Immune Systems Can Find Arbitrarily Good Approximations for the NP-Hard Partition Problem. - José A. R. Fonollosa:
Joint Size and Depth Optimization of Sorting Networks. - David Puljiz
, Gleb Gorbachev, Björn Hein:
Implementation of Augmented Reality in Autonomous Warehouses: Challenges and Opportunities. - Thanaa S. Alnusairi, Ashraf A. Shahin, Yassine Daadaa:
Binary PSOGSA for Load Balancing Task Scheduling in Cloud Environment. - Billy E. Geerhart, Venkat R. Dasari:
Well defined quantum key distribution using calibration, synchronization, and a programmable quantum channel. - Elif Tugçe Ceran, Deniz Gündüz, András György:
A Reinforcement Learning Approach to Age of Information in Multi-User Networks. - William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer:
Producing radiologist-quality reports for interpretable artificial intelligence. - John Longley:
The encodability hierarchy for PCF types. - Mieczyslaw A. Klopotek:
Too Fast Causal Inference under Causal Insufficiency. - Sandro Pezzelle, Shane Steinert-Threlkeld, Raffaella Bernardi, Jakub Szymanik:
Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers. - Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock:
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. - Mejdi Ben Dkhil, Ali Wali, Adel M. Alimi:
Towards a new system for drowsiness detection based on eye blinking and head posture estimation. - Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy. - Ce Qi, Zhizhong Liu, Fei Su:
Accurate and Efficient Similarity Search for Large Scale Face Recognition. - Pragna Das, Vincent Hilaire, Lluís Ribas-Xirgo:
An Ontology to Support Collective Intelligence in Decentralised Multi-Robot Systems. - Xun Gong, Yaohui Guo, Yiheng Feng, Jing Sun, Ding Zhao:
Evaluation of the Energy Efficiency in a Mixed Traffic with Automated Vehicles and Human Controlled Vehicles. - Andreas Brandstädt, Raffaele Mosca:
On Efficient Domination for Some Classes of H-Free Bipartite Graphs. - Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Rajesh Ranganath:
Opportunities in Machine Learning for Healthcare. - Dina Levy-Lambert, Jen J. Gong, Tristan Naumann, Tom J. Pollard, John V. Guttag:
Visualizing Patient Timelines in the Intensive Care Unit. - Zhixian Ma, Jie Zhu, Weitian Li, Haiguang Xu:
Radio Galaxy Morphology Generation Using DNN Autoencoder and Gaussian Mixture Models. - Alice Mizrahi, Julie Grollier, Damien Querlioz, Mark D. Stiles:
Overcoming device unreliability with continuous learning in a population coding based computing system. - Alberto Gómez, Veronika A. Zimmer, Bishesh Khanal, Nicolas Toussaint, Julia A. Schnabel:
Oversegmenting Graphs. - Sai Praneeth Karimireddy, Sebastian U. Stich, Martin Jaggi:
Global linear convergence of Newton's method without strong-convexity or Lipschitz gradients. - Georgios Paraskevopoulos, Efthymios Tzinis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Alexandros Potamianos:
Pattern Search Multidimensional Scaling. - Irénée Briquel, Peter Bürgisser:
The real tau-conjecture is true on average. - Aditya Vora:
A Classification approach towards Unsupervised Learning of Visual Representations. - Claudia Flores-Saviaga, Brian C. Keegan, Saiph Savage:
Mobilizing the Trump Train: Understanding Collective Action in a Political Trolling Community. - Hyunghoon Cho, Benjamin Demeo, Jian Peng, Bonnie Berger:
Large-Margin Classification in Hyperbolic Space. - Miguel Areias
Table Space Designs For Implicit and Explicit Concurrent Tabled Evaluation. - Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar:
Do CIFAR-10 Classifiers Generalize to CIFAR-10? - Sadia Afroz, Mobin Javed, Vern Paxson, Shoaib Asif Qazi, Shaarif Sajid, Michael Carl Tschantz:
A Bestiary of Blocking: The Motivations and Modes behind Website Unavailability. - Aneeq Zia, Andrew Hung, Irfan A. Essa, Anthony M. Jarc:
Surgical Activity Recognition in Robot-Assisted Radical Prostatectomy using Deep Learning. - Suriya Gunasekar, Jason D. Lee, Daniel Soudry, Nathan Srebro:
Implicit Bias of Gradient Descent on Linear Convolutional Networks. - Wei-Ting Chang, Ravi Tandon:
On the Capacity of Secure Distributed Matrix Multiplication. - Weiqi Li, Zhiying Wang, Hamid Jafarkhani:
A Tradeoff between the Sub-Packetization Size and the Repair Bandwidth for Reed-Solomon Codes. - Aditya Ramesh, Yann LeCun:
Backpropagation for Implicit Spectral Densities. - Mohammad Akbari, Jie Liang:
Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation. - Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie:
Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training. - AbdelRahim A. Elmadany, Sherif M. Abdou, Mervat Gheith:
Improving Dialogue Act Classification for Spontaneous Arabic Speech and Instant Messages at Utterance Level. - Kashyap Chitta:
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization. - Huda AlAmri, Vincent Cartillier, Raphael Gontijo Lopes, Abhishek Das, Jue Wang, Irfan Essa, Dhruv Batra, Devi Parikh, Anoop Cherian, Tim K. Marks, Chiori Hori:
Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7. - Nima Mohajerin, Steven Lake Waslander:
Multi-Step Prediction of Dynamic Systems with Recurrent Neural Networks. - Giovanni Bacci, Giorgio Bacci, Kim G. Larsen, Radu Mardare:
On the Metric-based Approximate Minimization of Markov Chains. - Anastasios Kyrillidis, Shashanka Ubaru, Georgios Kollias, Kristofer E. Bouchard:
Run Procrustes, Run! On the convergence of accelerated Procrustes Flow. - Kenny J. Young, Richard S. Sutton, Shuo Yang:
Integrating Episodic Memory into a Reinforcement Learning Agent using Reservoir Sampling. - Pierre Aboulker, Samuel Fiorini, Tony Huynh, Marco Macchia, Johanna Seif:
Extension Complexity of the Correlation Polytope. - Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu:
The Externalities of Exploration and How Data Diversity Helps Exploitation. - Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. - Beilun Wang, Arshdeep Sekhon, Yanjun Qi:
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models. - Christopher Stanton, Jeff Clune:
Deep Curiosity Search: Intra-Life Exploration Improves Performance on Challenging Deep Reinforcement Learning Problems. - Yuichi Hanada, Luke Hsiao, Philip Alexander Levis:
Smart Contracts for Machine-to-Machine Communication: Possibilities and Limitations. - Shichao Yang, Sebastian A. Scherer:
CubeSLAM: Monocular 3D Object Detection and SLAM without Prior Models. - Benjamin Golub:
Introduction to Network Games with Linear Best Responses. - Yongbin Sun, Sai Nithin R. Kantareddy, Rahul Bhattacharyya, Sanjay E. Sarma:
X-Vision: An augmented vision tool with real-time sensing ability in tagged environments. - Jun Long, Lei Zhu, Chengyuan Zhang, Zhan Yang, Yunwu Lin, Ruipeng Chen:
Efficient Interactive Search for Geo-tagged Multimedia Data. - Yi-Chao Wu, Fei Yin, Xu-Yao Zhang, Li Liu, Cheng-Lin Liu:
SCAN: Sliding Convolutional Attention Network for Scene Text Recognition. - Pinlong Zhao, Zhouyu Fu, Ou Wu, Qinghua Hu, Jun Wang:
Detecting Adversarial Examples via Key-based Network. - Yue Zhao
Federated Learning with Non-IID Data. - Yuanzhouhan Cao, Tianqi Zhao, Ke Xian, Chunhua Shen, Zhiguo Cao:
Monocular Depth Estimation with Augmented Ordinal Depth Relationships. - Xing Shi, Shizhen Xu, Kevin Knight:
Fast Locality Sensitive Hashing for Beam Search on GPU. - Yiming Zhang, Quan Ho Vuong, Kenny Song, Xiao-Yue Gong, Keith W. Ross:
Efficient Entropy for Policy Gradient with Multidimensional Action Space. - Jon Gauthier
Does the brain represent words? An evaluation of brain decoding studies of language understanding. - Ago-Erik Riet, Vitaly Skachek, Eldho K. Thomas:
Asynchronous Batch and PIR Codes from Hypergraphs. - Lin Yang, Yizhe Zhang, Zhuo Zhao, Hao Zheng, Peixian Liang, Michael T. C. Ying, Anil T. Ahuja, Danny Z. Chen:
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation. - Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng:
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation. - Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever:
GamePad: A Learning Environment for Theorem Proving. - Fernando Martínez-Plumed, Shahar Avin, Miles Brundage, Allan Dafoe, Seán Ó hÉigeartaigh
Accounting for the Neglected Dimensions of AI Progress. - Caleb Pomeroy, Niheer Dasandi, Slava Jankin Mikhaylov:
Multiplex Communities and the Emergence of International Conflict. - Zhiyuan Tang, Dong Wang, Qing Chen:
AP18-OLR Challenge: Three Tasks and Their Baselines. - Jin Wu
Simple Fast Vectorial Solution to The Rigid 3D Registration Problem. - Xi Chen, Zhi-Hong Deng, Gehui Shen
A Novel Framework for Recurrent Neural Networks with Enhancing Information Processing and Transmission between Units. - Daiki Kimura:
DAQN: Deep Auto-encoder and Q-Network. - Gaoyun An, Wen Zhou, Yuxuan Wu, ZhenXing Zheng, Yongwen Liu:
Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition. - Jiayang Tu, Peng Cheng, Lei Chen:
Quality-Assured Synchronized Task Assignment in Crowdsourcing. - Ishay Haviv:
On Minrank and Forbidden Subgraphs. - Ahmad Alzahrani, Samira Sadaoui:
Scraping and Preprocessing Commercial Auction Data for Fraud Classification. - Anoosheh Heidarzadeh, Fatemeh Kazemi, Alex Sprintson:
Capacity of Single-Server Single-Message Private Information Retrieval with Coded Side Information. - Ziru Chen, Zhao Chen, Lin X. Cai, Yu Cheng, Ruoting Gong:
A Stochastic Geometry Analysis of Energy Harvesting in Large Scale Wireless Networks. - Pratik Patil, Binbin Dai, Wei Yu:
Hybrid Data-Sharing and Compression Strategy for Downlink Cloud Radio Access Network. - Armin Seyeditabari, Narges Tabari
Emotion Detection in Text: a Review. - Loqman Salamatian, Dali Kaafar, Kavé Salamatian:
A Geometric Approach for Real-time Monitoring of Dynamic Large Scale Graphs: AS-level graphs illustrated. - Brian Goldfain, Paul Drews, Changxi You, Matthew Barulic, Orlin Velev, Panagiotis Tsiotras, James M. Rehg:
AutoRally An open platform for aggressive autonomous driving. - Anuj Kalia, Michael Kaminsky, David G. Andersen:
Datacenter RPCs can be General and Fast. - Yunzhe Tao, Qi Sun, Qiang Du, Wei Liu:
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling. - Sai Krishna G. V., Kyle Goyette, Ahmad Chamseddine, Breandan Considine:
Deep Pepper: Expert Iteration based Chess agent in the Reinforcement Learning Setting. - Yunzhe Tao, Lin Ma, Weizhong Zhang, Jian Liu, Wei Liu, Qiang Du:
Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction. - Dmitry V. Zakablukov:
Synthesis methods for reversible circuits consisting of NOT, CNOT and 2-CNOT gates (Ph.D. thesis). - Aakanksha Naik, Abhilasha Ravichander, Norman M. Sadeh, Carolyn P. Rosé
Stress Test Evaluation for Natural Language Inference. - Vahid Garousi, Sara Bauer, Michael Felderer:
NLP-assisted software testing: a systematic review. - Andres Karjus, Richard A. Blythe, Simon Kirby, Kenny Smith:
Quantifying the dynamics of topical fluctuations in language. - Jeremias Sulam, Aviad Aberdam, Michael Elad:
On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks. - Boyang Wang, Zirui Li, Jianwei Gong, Yidi Liu, Huiyan Chen, Chao Lu:
Learning and Generalizing Motion Primitives from Driving Data for Path-Tracking Applications. - Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu:
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification. - Yanyao Shen, Xu Tan, Di He, Tao Qin, Tie-Yan Liu:
Dense Information Flow for Neural Machine Translation. - Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du:
Explainable Social Contextual Image Recommendation with Hierarchical Attention. - Luke Burks, Ian Loefgren, Luke Barbier, Jeremy Muesing, Jamison McGinley, Sousheel Vunnam, Nisar R. Ahmed:
Closed-loop Bayesian Semantic Data Fusion for Collaborative Human-Autonomy Target Search. - Mengyi Liu, Xiaohui Xie, Hanning Zhou:
Content-based Video Relevance Prediction Challenge: Data, Protocol, and Baseline. - Diana Gonzalez-Rico, Gibran Fuentes Pineda:
Contextualize, Show and Tell: A Neural Visual Storyteller. - Lin Zhou, Vincent Y. F. Tan, Mehul Motani:
Second-Order Asymptotically Optimal Statistical Classification. - Amarjot Singh, Devendra Patil, S. N. Omkar:
Eye in the Sky: Real-time Drone Surveillance System (DSS) for Violent Individuals Identification using ScatterNet Hybrid Deep Learning Network. - Yang Yang, Lei Zheng, Jiawei Zhang, Qingcai Cui, Zhoujun Li, Philip S. Yu:
TI-CNN: Convolutional Neural Networks for Fake News Detection. - Mohamed Grissa, Bechir Hamdaoui, Attila A. Yavuz:
Location Privacy in Cognitive Radio Networks: A Survey. - Pengcheng Yao:
An Efficient Graph Accelerator with Parallel Data Conflict Management. - Hwiyeol Jo, Jeong Ryu:
Psychological State in Text: A Limitation of Sentiment Analysis. - Mücahid Kutlu, Tyler McDonnell, Aashish Sheshadri, Tamer Elsayed, Matthew Lease:
Mix and Match: Collaborative Expert-Crowd Judging for Building Test Collections Accurately and Affordably. - Yu Huang:
Efficient Time-Evolving Stream Processing at Scale. - Xianliang Li:
Scaling Up Large-Scale Graph Processing for GPU-Accelerated Heterogeneous Systems. - Luis M. Vaquero
Research Challenges in Nextgen Service Orchestration. - Akash Singh, Vinay Rodrigues, Sai Hanisha, Madhava Krishna:
Novel Compliant omnicrawler-wheel transforming module. - Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Günnemann, Michael M. Bronstein:
Dual-Primal Graph Convolutional Networks. - Yan Niu, Jihong Ouyang, Wanli Zuo, Fuxin Wang:
Low Cost Edge Sensing for High Quality Demosaicking. - Jungseul Ok, Alexandre Proutière, Damianos Tranos:
Exploration in Structured Reinforcement Learning. - Xiaoyuan Wang:
Supporting Superpages and Lightweight Page Migration in Hybrid Memory Systems. - Jin Zhao:
Efficient Two-Level Scheduling for Concurrent Graph Processing. - Yi Tay, Luu Anh Tuan, Siu Cheung Hui:
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction. - Ye Chi:
Gemini: Reducing DRAM Cache Hit Latency by Hybrid Mappings. - Vladimir Ilievski:
Building Advanced Dialogue Managers for Goal-Oriented Dialogue Systems. - Satwik Patnaik, Johann Knechtel, Mohammed Ashraf, Ozgur Sinanoglu:
Concerted Wire Lifting: Enabling Secure and Cost-Effective Split Manufacturing. - Nicholas Tucci, Jacek Cala, Jannetta S. Steyn, Paolo Missier:
Design and evaluation of a genomics variant analysis pipeline using GATK Spark tools. - Satwik Patnaik, Nikhil Rangarajan, Johann Knechtel, Ozgur Sinanoglu, Shaloo Rakheja:
Advancing Hardware Security Using Polymorphic and Stochastic Spin-Hall Effect Devices. - Benjamin Hellouin de Menibus, Takeaki Uno:
Maximal Matching and Path Matching Counting in Polynomial Time for Graphs of Bounded Clique Width. - Alexander Herzog, Peter John, Slava Jankin Mikhaylov
Transfer Topic Labeling with Domain-Specific Knowledge Base: An Analysis of UK House of Commons Speeches 1935-2014. - Lyudmila Grigoryeva, Juan-Pablo Ortega:
Echo state networks are universal. - Daniel Maurer, Andrés Bruhn:
ProFlow: Learning to Predict Optical Flow. - Pu Jin, Gui-Song Xia, Fan Hu, Qikai Lu, Liangpei Zhang:
AID++: An Updated Version of AID on Scene Classification. - Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, Grady Booch:
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning. - Yedid Hoshen, Lior Wolf:
NAM: Non-Adversarial Unsupervised Domain Mapping. - William Vega-Brown, Nicholas Roy:
Admissible Abstractions for Near-optimal Task and Motion Planning. - Eunju Cha, Eung-Yeop Kim, Jong Chul Ye:
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography. - Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri:
Learning Semantic Sentence Embeddings using Pair-wise Discriminator. - William M. Farmer:
A New Style of Mathematical Proof. - Benjamin M. Gorman:
A Framework for Speechreading Acquisition Tools. - Stelios Stefanatos, Mahdi Barzegar Khalilsarai, Gerhard Wunder:
Wideband Massive MIMO Channel Estimation via Sequential Atomic Norm Minimization. - Binay Bhattacharya, Yuya Higashikawa, Tsunehiko Kameda, Naoki Katoh:
Minmax Regret 1-Sink for Aggregate Evacuation Time on Path Networks. - Gerhard Wunder, Stelios Stefanatos, Axel Flinth, Ingo Roth, Giuseppe Caire:
Low-Overhead Hierarchically-Sparse Channel Estimation for Multiuser Wideband Massive MIMO. - Robert Gorwa, Philip N. Howard:
Studying Politically Vulnerable Communities Online: Ethical Dilemmas, Questions, and Solutions. - Jonathan Marbaniang, Shekhar Bhandakkar, Sathya Peri:
Garbage Collection in Concurrent Sets. - Vinicius Pavanelli Vianna:
Study and development of a Computer-Aided Diagnosis system for classification of chest x-ray images using convolutional neural networks pre-trained for ImageNet and data augmentation. - Jean Maillard, Stephen Clark:
Latent Tree Learning with Differentiable Parsers: Shift-Reduce Parsing and Chart Parsing. - Michael Bar-Sinai, Gera Weiss, Reut Shmuel:
BPjs - a framework for modeling reactive systems using a scripting language and BP. - Vladimir I. Iglovikov, Selim S. Seferbekov, Alexander V. Buslaev, Alexey Shvets:
TernausNetV2: Fully Convolutional Network for Instance Segmentation. - Xiaowen Dong, Dorina Thanou, Michael G. Rabbat, Pascal Frossard:
Learning Graphs from Data: A Signal Representation Perspective. - Zhe Li, Xuehan Xiong, Zhou Ren, Ning Zhang, Xiaoyu Wang, Tianbao Yang:
An Aggressive Genetic Programming Approach for Searching Neural Network Structure Under Computational Constraints. - Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin:
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification. - Gabriel Grand
On the Flip Side: Identifying Counterexamples in Visual Question Answering. - Somshubra Majumdar, Amlaan Bhoi, Ganesh Jagadeesan:
A Comprehensive Comparison between Neural Style Transfer and Universal Style Transfer. - Mat Kelly, Michael L. Nelson, Michele C. Weigle:
A Framework for Aggregating Private and Public Web Archives. - Chieh-Chi Kao, Yu-Xiang Wang, Jonathan Waltman, Pradeep Sen:
Patch-Based Image Hallucination for Super Resolution with Detail Reconstruction from Similar Sample Images. - Mahdi Nazemi, Massoud Pedram:
Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications. - Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong:
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization. - Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal:
Disconnected Manifold Learning for Generative Adversarial Networks. - Noam Segev, Noam Avigdor, Eytan Avigdor:
Measuring Influence on Instagram: a Network-oblivious Approach. - Mohammad Ali Javidian, Marco Valtorta:
Structural Learning of Multivariate Regression Chain Graphs via Decomposition. - Ehab Ababneh, Zaid Al-Ali, Sangtae Ha, Richard Han, Eric Keller:
Elasticizing Linux via Joint Disaggregation of Memory and Computation. - Konstantinos Rematas, Ira Kemelmacher-Shlizerman, Brian Curless, Steven M. Seitz:
Soccer on Your Tabletop. - Barak Oshri, Annie Hu, Peter Adelson, Xiao Chen, Pascaline Dupas, Jeremy Weinstein, Marshall Burke, David B. Lobell, Stefano Ermon:
Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning. - Fan Hu, Gui-Song Xia, Wen Yang, Liangpei Zhang:
Recent advances and opportunities in scene classification of aerial images with deep models. - Simon S. Du, Wei Hu, Jason D. Lee:
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced. - Xin-Yi Tong, Qikai Lu, Gui-Song Xia, Liangpei Zhang:
Large-scale Land Cover Classification in GaoFen-2 Satellite Imagery. - Anastasia Sergeeva, Bogdan Kirillov, Alyona Dzhumagulova:
Neural Network-based exploration of construct validity for Russian version of the 10-item Big Five Inventory. - Beibei Si:
A Structure-aware Approach for Efficient Graph Processing. - Jin Huang, Gui-Song Xia, Fan Hu, Liangpei Zhang:
Accurate Building Detection in VHR Remote Sensing Images using Geometric Saliency. - Abeed Sarker, Graciela Gonzalez-Hernandez:
An unsupervised and customizable misspelling generator for mining noisy health-related text sources. - Trung Pham, Vijay Kumar B. G, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid:
Bayesian Semantic Instance Segmentation in Open Set World. - Jacob Goldberger, Oren Melamud:
Self-Normalization Properties of Language Modeling. - Manoj Reddy Dareddy, Ariyam Das, Junghoo Cho, Carlo Zaniolo:
How Much Are You Willing to Share? A "Poker-Styled" Selective Privacy Preserving Framework for Recommender Systems. - Mohamed Grissa, Attila A. Yavuz, Bechir Hamdaoui:
Preserving the Location Privacy of Secondary Users in Cooperative Spectrum Sensing. - Roger Paredes
Network Reliability Estimation in Theory and Practice. - Chih-Chieh Shao, Trois Liu, Yuting Lai, Yiying Tseng, Sam Tsai:
DRCD: a Chinese Machine Reading Comprehension Dataset. - Xin Yi, Scott J. Adams, Paul S. Babyn, Abdul Elnajmi:
Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data. - Nim Dvir, Ruti Gafni:
How Content Volume on Landing Pages Influences Consumer Behavior. - Fenfen Sheng, Zhineng Chen, Bo Xu:
NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text Recognition. - Younggun Lee, Taesu Kim, Soo-Young Lee:
Voice Imitating Text-to-Speech Neural Networks. - Xueyuan Han, Thomas F. J.-M. Pasquier, Margo I. Seltzer:
Provenance-based Intrusion Detection: Opportunities and Challenges. - Yunhao Sun, Ruchen Duan, Yingbin Liang, Shlomo Shamai:
State-Dependent Interference Channel with Correlated States. - Evan Hernandez, Ara Vartanian, Xiaojin Zhu:
Program Synthesis from Visual Specification. - Qian Yu, Netanel Raviv, Jinhyun So, Amir Salman Avestimehr:
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy. - Balakumar Sundaralingam, Tucker Hermans:
Relaxed-Rigidity Constraints: Kinematic Trajectory Optimization and Collision Avoidance for In-Grasp Manipulation. - Noga Alon, Roi Livni, Maryanthe Malliaris, Shay Moran:
Private PAC learning implies finite Littlestone dimension. - Xinxin Fan:
Faster Dual-Key Stealth Address for Blockchain-Based Internet of Things Systems. - Navid Azizan Ruhi, Babak Hassibi:
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization. - Omer Ben-Porat, Moshe Tennenholtz:
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers. - Abdullah Ates, Jie Yuan, Sina Dehghan, Yang Zhao, Celaleddin Yeroglu, YangQuan Chen:
PID2018 Benchmark Challenge: Multi-Objective Stochastic Optimization Algorithm. - Haris Aziz, Hau Chan, Barton E. Lee, David C. Parkes:
Mechanism Design without Money for Common Goods. - Magauiya Zhussip, Se Young Chun:
Simultaneous compressive image recovery and deep denoiser learning from undersampled measurements. - Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz:
Segmentation, Incentives and Privacy. - Shuhei Kurita, Daisuke Kawahara, Sadao Kurohashi:
Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis. - Binghui Chen, Weihong Deng:
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating. - Jérémy Berthomieu
In-depth comparison of the Berlekamp-Massey-Sakata and the Scalar-FGLM algorithms: the adaptive variants. - Patricio Cerda, Gaël Varoquaux, Balázs Kégl:
Similarity encoding for learning with dirty categorical variables. - Tobias Schrank, Franz Pernkopf:
Automatic Clustering of a Network Protocol with Weakly-Supervised Clustering. - Md. Shah Fahad, Jainath Yadav, Gyadhar Pradhan, Akshay Deepak:
DNN-HMM based Speaker Adaptive Emotion Recognition using Proposed Epoch and MFCC Features. - Alireza Alizadeh, Mai Vu:
User Association in Millimeter Wave MIMO Networks. - Alireza Alizadeh, Mai Vu:
Time-Fractional User Association in Millimeter Wave MIMO Networks. - Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano:
Distributed Learning from Interactions in Social Networks. - Hendrik Vogt, Gerald Enzner, Aydin Sezgin:
State-Space Adaptive Nonlinear Self-Interference Cancellation for Full-Duplex Communication. - Johannes Jendersie
Path Throughput Importance Weights. - Sung Whan Yoon
Meta Learner with Linear Nulling. - Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Synthetic data generation for end-to-end thermal infrared tracking. - Naima Chouikhi, Boudour Ammar, Adel M. Alimi:
Hierarchical Bi-level Multi-Objective Evolution of Single- and Multi-layer Echo State Network Autoencoders for Data Representations. - Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, Yen-Wei Chen:
A Cascade of 2.5D CNN and LSTM Network for Mitotic Cell Detection in 4D Microscopy Image. - Kilian Verhetsel, Jeanne Pellerin, Jean-François Remacle:
A 66-element mesh of Schneiders' pyramid: bounding the difficulty of hex-meshing problems. - Hongwei Li, Kanru Lin, Maximilian Reichert, Lina Xu, Rickmer Braren, Deliang Fu, Roland Schmid, Ji Li, Bjoern Holger Menze, Kuangyu Shi:
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks. - Marios Kountouris, Apostolos Avranas:
Delay Performance of Multi-Antenna Multicasting in Wireless Networks. - Francisco Crespo Estefanía Martín:
Applications for mobile devices focused on support for autism spectrum disorder population and / or people in their immediate environment in their daily lives: a systematic and practical review from a Spanish - speaking perspective. - Luc Edixhoven, Walter A. Kosters:
Player preferences in N-player games. - Jasper De Bock, Gert de Cooman:
A Desirability-Based Axiomatisation for Coherent Choice Functions. - Tobias Hecking, Loet Leydesdorff:
Topic Modelling of Empirical Text Corpora: Validity, Reliability, and Reproducibility in Comparison to Semantic Maps. - Alexios Balatsoukas-Stimming, Aris Filos-Ratsikas:
On the computational complexity of blind detection of binary linear codes. - Jindong Jiang, Lunan Zheng, Fei Luo, Zhijun Zhang:
RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation. - Zhitao Guan, Guanlin Si, Xiaosong Zhang, Longfei Wu, Nadra Guizani, Xiaojiang Du, Yinglong Ma:
Privacy-preserving and Efficient Aggregation based on Blockchain for Power Grid Communications in Smart Communities. - Preethi Lahoti, Gerhard Weikum, Krishna P. Gummadi:
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making. - Komei Sugiura:
SuMo-SS: Submodular Optimization Sensor Scattering for Deploying Sensor Networks by Drones. - Benjamín Gutiérrez-Becker, Christian Wachinger:
Deep Multi-Structural Shape Analysis: Application to Neuroanatomy. - Lorenzo Nespoli, Matteo Salani, Vasco Medici:
A rational decentralized generalized Nash equilibrium seeking for energy markets. - Florian Thams, Andreas Venzke, Robert Eriksson, Spyros Chatzivasileiadis:
Efficient Database Generation for Data-driven Security Assessment of Power Systems. - Nattachai Watcharapinchai, Sitapa Rujikietgumjorn, Sanparith Marukatat:
Sloth Search System at the Video Browser Showdown 2018 - Final Notes. - Sourya Dey, Diandian Chen, Zongyang Li, Souvik Kundu, Kuan-Wen Huang, Keith M. Chugg, Peter A. Beerel:
A Highly Parallel FPGA Implementation of Sparse Neural Network Training. - Udo Schilcher, Jorge F. Schmidt, Mahin K. Atiq, Christian Bettstetter:
Auto-Correlation and Coherence Time of Interference in Poisson Networks. - Jérémy Anger, Mauricio Delbracio, Gabriele Facciolo:
Modeling Realistic Degradations in Non-blind Deconvolution. - Raphael Polig, Kubilay Atasu, Laura Chiticariu, Christoph Hagleitner, H. Peter Hofstee, Frederick R. Reiss, Eva Sitaridi, Huaiyu Zhu:
Giving Text Analytics a Boost. - Dhanasekar, Anirudh Seshadri, Sudharshan Srinivasan, Suryanarayanan, Akash Sridhar:
Consolidating the innovative concepts towards Exascale computing for Co-Design of Co-Applications ll: Co-Design Automation - Workload Characterization. - Philippos Papaphilippou:
Performance tuning for deep learning on a many-core processor (master thesis). - Antonio Rios-Navarro, Ricardo Tapiador-Morales, Angel Jiménez-Fernandez, Manuel Domínguez-Morales, Claudio Amaya, Alejandro Linares-Barranco:
Performance evaluation over HW/SW co-design SoC memory transfers for a CNN accelerator. - Amir Yazdanbakhsh, Hajar Falahati, Philip J. Wolfe, Kambiz Samadi, Nam Sung Kim, Hadi Esmaeilzadeh:
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks. - Ellis Giles, Kshitij A. Doshi, Peter J. Varman:
Hardware Transactional Persistent Memory. - Fuyuan Xiao, Masayoshi Aritsugi:
An adaptive parallel processing strategy in complex event processing systems over data streams. - Nikolay Malitsky, Ralph Castain, Matt Cowan:
Spark-MPI: Approaching the Fifth Paradigm of Cognitive Applications. - László Csató:
A fairer penalty shootout design in soccer. - Dan Andresen, William H. Hsu, Huichen Yang, Adedolapo Okanlawon:
Machine Learning for Predictive Analytics of Compute Cluster Jobs. - Navjot Kukreja, Jan Hückelheim, Gerard J. Gorman:
Backpropagation for long sequences: beyond memory constraints with constant overheads. - Riccardo Dondi, Giancarlo Mauri, Florian Sikora, Italo Zoppis:
Covering with Clubs: Complexity and Approximability. - Clemens Frahnow, Timo Kötzing:
Ring Migration Topology Helps Bypassing Local Optima. - Julian Zubek, Ludmila Kuncheva:
Learning from Exemplars and Prototypes in Machine Learning and Psychology. - Peter Gracar, Alexandre Stauffer:
Percolation of Lipschitz surface and tight bounds on the spread of information among mobile agents. - Petar Tsankov, Andrei Marian Dan, Dana Drachsler-Cohen, Arthur Gervais, Florian Buenzli, Martin T. Vechev:
Securify: Practical Security Analysis of Smart Contracts. - Deepak Baby, Sarah Verhulst:
Machines hear better when they have ears. - Janis Danisevskis, Michael Peter, Jan Nordholz:
Minimizing Event-Handling Latencies in Secure Virtual Machines. - Ivan Bravi, Jialin Liu, Diego Perez Liebana, Simon M. Lucas:
Shallow decision-making analysis in General Video Game Playing. - Victor Le Pochat, Tom van Goethem, Wouter Joosen:
Rigging Research Results by Manipulating Top Websites Rankings. - Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei:
Secure and Efficient Skyline Queries on Encrypted Data. - Keisuke Sakaguchi, Benjamin Van Durme:
Efficient Online Scalar Annotation with Bounded Support. - Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. - Kyungyun Lee, Keunwoo Choi, Juhan Nam:
Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook. - Fabio Vitale, Nikos Parotsidis, Claudio Gentile:
Online Reciprocal Recommendation with Theoretical Performance Guarantees. - Hui Zhou, Wanli Ouyang, Jian Cheng, Xiaogang Wang, Hongsheng Li:
Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking. - Thomas Lansdall-Welfare, Nello Cristianini:
History Playground: A Tool for Discovering Temporal Trends in Massive Textual Corpora. - Victoria Krakovna, Laurent Orseau, Miljan Martic, Shane Legg:
Measuring and avoiding side effects using relative reachability. - Jianzhu Guo, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
Face Synthesis for Eyeglass-Robust Face Recognition. - Filipo Sharevski, Adam Trowbridge, Jessica Westbrook:
Novel Approach for Cybersecurity Workforce Development: A Course in Secure Design. - Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Joshua B. Tenenbaum, Peter W. Battaglia:
Relational inductive bias for physical construction in humans and machines. - Pallavi Paliwal, Debasattam Pal, Shalabh Gupta:
Stability Analysis for Fast Settling Switched DPLL. - Ittai Abraham, Danny Dolev, Ivan Geffner, Joseph Y. Halpern:
Implementing Mediators with Asynchronous Cheap Talk. - Chengsheng Mao, Alal Eran, Yuan Luo:
Efficient Genomic Interval Queries Using Augmented Range Trees. - Nils Müller, Tobias Glasmachers:
Challenges in High-dimensional Reinforcement Learning with Evolution Strategies. - Barbara Gris, Chong Chen, Ozan Öktem:
Image reconstruction through metamorphosis. - Jérémy Barbay:
Adaptive Computation of the Discrete Fréchet Distance. - Emmanouil Antonios Platanios, Alex Smola:
Deep Graphs. - Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin A. Riedmiller, Raia Hadsell, Peter W. Battaglia:
Graph networks as learnable physics engines for inference and control. - Ahmed Salem, Yang Zhang, Mathias Humbert, Mario Fritz, Michael Backes:
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. - Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang:
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. - Yi-Peng Wei, Sennur Ulukus:
The Capacity of Private Information Retrieval with Private Side Information Under Storage Constraints. - Emmanouil Antonios Platanios:
Agreement-based Learning. - Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman:
Learning a Code: Machine Learning for Approximate Non-Linear Coded Computation. - Clément Godard, Oisin Mac Aodha, Gabriel J. Brostow:
Digging Into Self-Supervised Monocular Depth Estimation. - Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. Francis Song, Andrew J. Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matthew M. Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu:
Relational inductive biases, deep learning, and graph networks. - Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li:
OpenTag: Open Attribute Value Extraction from Product Profiles. - Kavosh Asadi, Evan Cater, Dipendra Misra, Michael L. Littman:
Equivalence Between Wasserstein and Value-Aware Model-based Reinforcement Learning. - Daiki Kimura, Subhajit Chaudhury, Ryuki Tachibana, Sakyasingha Dasgupta:
Internal Model from Observations for Reward Shaping. - Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Jey Kottalam, Lisa Gerhardt, Prabhat, Michael F. Ringenburg, Kristyn J. Maschhoff:
Alchemist: An Apache Spark MPI Interface. - Armin Eftekhari, Raphael A. Hauser
MOSES: A Streaming Algorithm for Linear Dimensionality Reduction. - Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images. - Hyang-Won Lee, Jianan Zhang, Eytan H. Modiano:
Data-driven Localization and Estimation of Disturbance in the Interconnected Power System. - Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, Min Sun:
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos. - Tim Taylor, Alan Dorin:
Past Visions of Artificial Futures: One Hundred and Fifty Years under the Spectre of Evolving Machines. - Sunipa Dev, Safia Hassan, Jeff M. Phillips:
Absolute Orientation for Word Embedding Alignment. - Denis Antipov, Benjamin Doerr:
Precise Runtime Analysis for Plateaus. - Debarpita Santra, Sankhayan Choudhury:
C-BPMN: A Context Aware BPMN for Modeling Complex Business Process. - Dominique Beaini, Sofiane Achiche, Fabrice Nonez, Maxime Raison:
Computing the Spatial Probability of Inclusion inside Partial Contours for Computer Vision Applications. - Hsuan-Yin Lin, Siddhartha Kumar, Eirik Rosnes, Alexandre Graell i Amat:
Asymmetry Helps: Improved Private Information Retrieval Protocols for Distributed Storage. - Marcos Netto, Yoshihiko Susuki, Lamine Mili:
Data-Driven Participation Factors for Nonlinear Systems Based on Koopman Mode Decomposition. - Josiah Hanna, Scott Niekum, Peter Stone:
Importance Sampling Policy Evaluation with an Estimated Behavior Policy. - Daniel Reichman, Leslie M. Collins, Jordan M. Malof:
gprHOG: Several Simple Improvements to the Histogram of Oriented Gradients Feature for Threat Detection in Ground-Penetrating Radar. - Khoi-Nguyen Tran, Jey Han Lau, Danish Contractor, Utkarsh Gupta, Bikram Sengupta, Christopher J. Butler, Mukesh K. Mohania:
Document Chunking and Learning Objective Generation for Instruction Design. - Mostafa Kishani, Hossein Asadi:
Modeling Impact of Human Errors on the Data Unavailability and Data Loss of Storage Systems. - Scott Lee:
Natural Language Generation for Electronic Health Records. - Jian Ren, Ilker Hacihaliloglu, Eric A. Singer, David J. Foran, Xin Qi:
Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images. - Mostafa Kishani, Reza Eftekhari, Hossein Asadi:
Evaluating Impact of Human Errors on the Availability of Data Storage Systems. - Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux:
Playing Atari with Six Neurons. - Hugo Villamizar, Marcos Kalinowski, Marx L. Viana, Daniel Méndez Fernández:
A Systematic Mapping Study on Security in Agile Requirements Engineering. - Vahid Behzadan, Arslan Munir:
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles. - Sathish Gopalakrishnan:
Improving rewards in overloaded real-time systems. - Jian Ren, Jianchao Yang, Ning Xu, David J. Foran:
Factorized Adversarial Networks for Unsupervised Domain Adaptation. - Maximilian Haas-Heger, Christos H. Papadimitriou, Mihalis Yannakakis, Garud Iyengar, Matei T. Ciocarlie:
Passive Static Equilibrium with Frictional Contacts and Application to Grasp Stability Analysis. - Vinh-Loc Dao, Cécile Bothorel, Philippe Lenca:
An empirical characterization of community structures in complex networks using a bivariate map of quality metrics. - Christian Guckelsberger, Christoph Salge, Julian Togelius:
New And Surprising Ways to Be Mean. Adversarial NPCs with Coupled Empowerment Minimisation. - Chien-Ying Chen, Monowar Hasan, AmirEmad Ghassami, Sibin Mohan, Negar Kiyavash:
REORDER: Securing Dynamic-Priority Real-Time Systems Using Schedule Obfuscation. - Saptarshi Sengupta, Richard Alan Peters II:
Learning to track on-the-fly using a particle filter with annealed- weighted QPSO modeled after a singular Dirac delta potential. - Cristina Kadar, Irena Pletikosa:
Mining large-scale human mobility data for long-term crime prediction. - Aleksandar Prokopec
On the Soundness of Coroutines with Snapshots. - Xingyu Liu, Charles Ruizhongtai Qi, Leonidas J. Guibas:
Learning Scene Flow in 3D Point Clouds. - Fausto Milletari, Nicola Rieke, Maximilian Baust, Marco Esposito, Nassir Navab:
CFCM: Segmentation via Coarse to Fine Context Memory. - Romeo Ortega, Nima Monshizadeh, Pooya Monshizadeh, Dmitry Bazylev, Anton A. Pyrkin:
Permanent Magnet Synchronous Motors are Globally Asymptotically Stabilizable with PI Current Control. - Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma:
BindsNET: A machine learning-oriented spiking neural networks library in Python. - Aykut Özgün Önol, Philip Long, Taskin Padir:
A Comparative Analysis of Contact Models in Trajectory Optimization for Manipulation. - Zhibing Zhao, Lirong Xia:
Composite Marginal Likelihood Methods for Random Utility Models. - Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia:
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. - Yoji Yamato, Tatsuya Demizu, Hirofumi Noguchi, Misao Kataoka:
Study of Automatic GPU Offloading Technology for Open IoT. - Ali Dehghan, Amir H. Banihashemi:
On Computing the Multiplicity of Short Cycles in Bipartite Graphs Using the Degree Distribution and the Spectrum of the Graph. - Cenk Gündogan, Peter Kietzmann, Martine Lenders, Hauke Petersen, Thomas C. Schmidt, Matthias Wählisch:
NDN, CoAP, and MQTT: A Comparative Measurement Study in the IoT. - William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec:
Querying Complex Networks in Vector Space. - Santiago Viertel
Labeling Algorithm and Compact Routing Scheme for a Small World Network Model. - Chirag Agarwal, Bo Dong, Dan Schonfeld, Anthony Hoogs:
An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks. - Ayush Bhandari, Yonina C. Eldar:
Sampling and Super-resolution of Sparse Signals Beyond the Fourier Domain. - Bassem Khalfi, Bechir Hamdaoui, Mohsen Guizani, Nizar Zorba:
Exploiting wideband spectrum occupancy heterogeneity for weighted compressive spectrum sensing. - Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, Silvio Savarese:
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints. - Hongru Liang, Haozheng Wang, Jun Wang, Shaodi You, Zhe Sun, Jin-Mao Wei, Zhenglu Yang:
JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features. - Aiden Nibali, Zhen He
3D Human Pose Estimation with 2D Marginal Heatmaps. - Finnian Lattimore, Cheng Soon Ong:
A Primer on Causal Analysis. - Yifan Wu, Larry Xu, Remco Chang, Joseph M. Hellerstein, Eugene Wu:
Making Sense of Asynchrony in Interactive Data Visualizations. - Jingjing Gong, Xipeng Qiu, Shaojing Wang, Xuanjing Huang:
Information Aggregation via Dynamic Routing for Sequence Encoding. - Yen Yu, Acer Y. C. Chang, Ryota Kanai:
Boredom-driven curious learning by Homeo-Heterostatic Value Gradients. - Rushabh Jitendrakumar Shah:
Graph Compression Using Pattern Matching Techniques. - Yuanyuan Zhang, Jun Du, Zi-Rui Wang, Jianshu Zhang:
Attention Based Fully Convolutional Network for Speech Emotion Recognition. - Tobias Kuhn:
Using the AIDA Language to Formally Organize Scientific Claims. - Shuoyang Ding, Kevin Duh:
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation? - Fariz Ikhwantri, Samuel Louvan, Kemal Kurniawan, Bagas Abisena, Valdi Rachman, Alfan Farizki Wicaksono, Rahmad Mahendra:
Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus. - Hang Liu, Hengyu Li, Jun Luo, Shaorong Xie, Yu Sun:
Construction of all-in-focus images assisted by depth sensing. - Piek Vossen, Selene Baez, Lenka Bajcetic, Bram Kraaijeveld:
Leolani: a reference machine with a theory of mind for social communication. - Dmytro Perekrestenko, Philipp Grohs, Dennis Elbrächter, Helmut Bölcskei:
The universal approximation power of finite-width deep ReLU networks. - Xin Wang, Fisher Yu, Ruth Wang, Yi-An Ma, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez:
Deep Mixture of Experts via Shallow Embedding. - Elena Codreanu, Christine Michel
L'acceptation et l'appropriation des ENT (Espaces Num{é}riques de Travail) par les enseignants du primaire. - Valdigleis S. Costa, Antonio Diego Silva Farias, Benjamín R. C. Bedregal, Regivan H. N. Santiago, Anne Magály de Paula Canuto:
Combining Multiple Algorithms in Classifier Ensembles using Generalized Mixture Functions. - Alexandre Decan, Tom Mens, Eleni Constantinou:
On the evolution of technical lag in the npm package dependency network. - Ankita Shukla, Gullal Singh Cheema, Saket Anand:
ClusterNet : Semi-Supervised Clustering using Neural Networks. - Sovann En, Alexis Lechervy
TS-Net: Combining modality specific and common features for multimodal patch matching. - Aybüke Öztürk, Stéphane Lallich, Jérôme Darmont
A Visual Quality Index for Fuzzy C-Means. - Haomiao Wang, Thiagaraj Prabu
Combining Multiple Optimised FPGA-based Pulsar Search Modules Using OpenCL. - Fuyuan Xiao:
Multi-sensor data fusion based on a generalised belief divergence measure. - Pengpeng Yang, Rongrong Ni, Yao Zhao:
Double JPEG Compression Detection by Exploring the Correlations in DCT Domain. - Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, Yanning Zhang, Anton van den Hengel:
Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network. - Marek Sikora, Lukasz Wróbel, Adam Gudys:
GuideR: a guided separate-and-conquer rule learning in classification, regression, and survival settings. - Pavan Sangha, Prudence W. H. Wong, Michele Zito:
Dynamic Programming Optimization in Line of Sight Networks. - Thomas G. Dietterich, George Trimponias, Zhitang Chen:
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning. - Paolo Torroni, Zeynep Kiziltan, Eugenio Faldella:
Blocking time under basic priority inheritance: Polynomial bound and exact computation. - Bo Yang Hsueh, Wei Li, I-Chen Wu:
Stochastic Gradient Descent with Hyperbolic-Tangent Decay. - Minseok Choi, Joongheon Kim, Jaekyun Moon:
Wireless Video Caching and Dynamic Streaming under Differentiated Quality Requirements. - Krittika D'Silva, Anastasios Noulas, Mirco Musolesi, Cecilia Mascolo, Max Sklar:
Predicting the temporal activity patterns of new venues. - Akshita Bhandari, Chandramani Singh:
Accelerated Randomized Coordinate Descent Methods for Stochastic Optimization and Online Learning. - Nima N. Moghadam, Gábor Fodor, Mats Bengtsson, David J. Love:
On the Energy Efficiency of MIMO Hybrid Beamforming for Millimeter Wave Systems with Nonlinear Power Amplifiers. - Simon Carbonnelle, Christophe De Vleeschouwer:
On layer-level control of DNN training and its impact on generalization. - Robin Tibor Schirrmeister, Patryk Chrabaszcz, Frank Hutter, Tonio Ball:
Generative Reversible Networks. - Kiril Dichev, Kirk W. Cameron, Dimitrios S. Nikolopoulos:
Energy-efficient localised rollback after failures via data flow analysis. - Erik Holmer, Andreas Marfurt:
Explaining Away Syntactic Structure in Semantic Document Representations. - Cong Hoang Quach, Van Lien Tran, Duy Hung Nguyen, Viet Thang Nguyen, Minh-Trien Pham, Manh Duong Phung:
Real-time Lane Marker Detection Using Template Matching with RGB-D Camera. - Van Truong Hoang, Manh Duong Phung, Quang Phuc Ha:
Adaptive twisting sliding mode control for quadrotor unmanned aerial vehicles. - Alexis Linard:
Learning Several Languages from Labeled Strings: State Merging and Evolutionary Approaches. - Xin-She Yang, Suash Deb:
Cuckoo Search: State-of-the-Art and Opportunities. - Xin-She Yang, Xingshi He:
Why the Firefly Algorithm Works? - Oliver Gasser, Quirin Scheitle, Pawel Foremski, Qasim Lone, Maciej Korczynski, Stephen D. Strowes, Luuk Hendriks, Georg Carle:
Clusters in the Expanse: Understanding and Unbiasing IPv6 Hitlists. - Daniel Gebremedhin, Charles A. Weatherford:
Numerical Integration as an Initial Value Problem. - Dizuo Jiang, Tasnim Ibn Faiz, Md Mahmudul Hassan, Md. Noor-E-Alam:
A Possibility Distribution Based Multi-Criteria Decision Algorithm for Resilient Supplier Selection Problems. - Mofreh R. Zaghloul:
A FORTRAN Package for Efficient Multi-Accuracy Computations of the Faddeyeva Function and Related Functions of Complex Arguments. - Alifah Syamsiyah, Boudewijn F. van Dongen, Remco M. Dijkman:
Native Directly Follows Operator. - Tianyi Liu, Shiyang Li, Jianping Shi, Enlu Zhou, Tuo Zhao:
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization. - Anna Sinelnikova:
RG Smoothing Algorithm Which Makes Data Compression. - Thomas Bonald, Bertrand Charpentier, Alexis Galland, Alexandre Hollocou:
Hierarchical Graph Clustering using Node Pair Sampling. - Rong Gong, Xavier Serra:
Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions. - Johan M. M. van Rooij, Hans L. Bodlaender, Erik Jan van Leeuwen, Peter Rossmanith, Martin Vatshelle:
Fast Dynamic Programming on Graph Decompositions. - Damian Lesniak, Igor Sieradzki, Igor T. Podolak:
On Latent Distributions Without Finite Mean in Generative Models. - Mohammad Reza Loghmani, Mirco Planamente, Barbara Caputo, Markus Vincze:
Recurrent Convolutional Fusion for RGB-D Object Recognition. - Stepan Tulyakov, Anton Ivanov, François Fleuret:
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching. - Nate Veldt, David F. Gleich, Anthony Wirth, James Saunderson:
A Projection Method for Metric-Constrained Optimization. - Apoorva S. Shastri, Anand J. Kulkarni:
Multi-Cohort Intelligence Algorithm: An Intra- and Inter-group Learning Behavior based Socio-inspired Optimization Methodology. - Kamel Abdelouahab, Maxime Pelcat, Jocelyn Sérot, François Berry:
Accelerating CNN inference on FPGAs: A Survey. - Chao-Hong Liu, Declan Groves, Hayakawa Akira, Alberto Poncelas, Qun Liu:
Understanding Meanings in Multilingual Customer Feedback. - Omer Ben-Porat, Moshe Tennenholtz:
Competing Prediction Algorithms. - Leonidas A. A. Doumas, Guillermo Puebla
Human-like generalization in a machine through predicate learning. - Per Kristian Lehre, Phan Trung Hai Nguyen:
Level-Based Analysis of the Population-Based Incremental Learning Algorithm. - Jianzhong Sheng, Chuanbo Chen, Chenchen Fu, Chun Jason Xue:
EasyConvPooling: Random Pooling with Easy Convolution for Accelerating Training and Testing. - Robyn Speer, Joanna Lowry-Duda:
Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge. - M. Omar Al-Kadri, Adnan Aijaz, Arumugam Nallanathan:
X-FDR: A Cross-Layer Routing Protocol for Multi-hop Full-Duplex Wireless Networks. - Alexander LeClair, Zachary Eberhart, Collin McMillan:
Adapting Neural Text Classification for Improved Software Categorization. - Daniel T. Chang:
Concept-Oriented Deep Learning. - Pedro Hermosilla, Tobias Ritschel, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski:
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds. - Salim Arslan, Sofia Ira Ktena, Ben Glocker, Daniel Rueckert:
Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity. - Murat Sensoy, Melih Kandemir
Evidential Deep Learning to Quantify Classification Uncertainty. - Chetan Naik, Arpit Gupta, Hancheng Ge, Lambert Mathias, Ruhi Sarikaya:
Contextual Slot Carryover for Disparate Schemas. - Fuqiang Liu, Chenchen Liu:
A Memristor based Unsupervised Neuromorphic System Towards Fast and Energy-Efficient GAN. - Wojciech Marian Czarnecki, Siddhant M. Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Simon Osindero, Nicolas Heess, Razvan Pascanu:
Mix&Match - Agent Curricula for Reinforcement Learning. - Adam R. Kosiorek, Hyunjik Kim, Ingmar Posner, Yee Whye Teh:
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. - Maciej Besta, Torsten Hoefler:
Survey and Taxonomy of Lossless Graph Compression and Space-Efficient Graph Representations. - Abbas Khalili, Stefano Rini, Luca Barletta, Elza Erkip, Yonina C. Eldar:
On MIMO Channel Capacity with Output Quantization Constraints. - Travis Gagie, Meng He, Gonzalo Navarro:
Tree Path Majority Data Structures. - Xiaolong Wang, Abhinav Gupta:
Videos as Space-Time Region Graphs. - Chien-Ying Chen, Sibin Mohan, Rakesh B. Bobba, Rodolfo Pellizzoni, Negar Kiyavash:
ScheduLeak: A Novel Scheduler Side-Channel Attack Against Real-Time Autonomous Control Systems. - Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Perturbative Neural Networks. - Stefan Braun:
LSTM Benchmarks for Deep Learning Frameworks. - Adam Santoro, Ryan Faulkner, David Raposo, Jack W. Rae, Mike Chrzanowski, Theophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, Timothy P. Lillicrap:
Relational recurrent neural networks. - G. Zacharias Holland, Erik Talvitie, Michael Bowling:
The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces. - Vinícius Flores Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P. Reichert, Timothy P. Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew M. Botvinick, Oriol Vinyals, Peter W. Battaglia:
Relational Deep Reinforcement Learning. - Snehanshu Saha, Archana Mathur, Kakoli Bora, Surbhi Agrawal, Suryoday Basak:
SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification. - Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov:
Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex. - Junwei Liang
Focal Visual-Text Attention for Visual Question Answering. - Tim Taylor:
Routes to Open-Endedness in Evolutionary Systems. - Garegin Grigoryan, Yaoqing Liu, Laurent Njilla, Charles A. Kamhoua, Kevin A. Kwiat:
Enabling Cooperative IoT Security via Software Defined Networks (SDN). - Hongjiang Lei, Zhijun Dai, Ki-Hong Park, Weijia Lei, Gaofeng Pan, Mohamed-Slim Alouini
Secrecy Outage Analysis of Mixed RF-FSO Downlink SWIPT Systems. - Vlad Taran
Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images. - Michail Fasoulakis, Eirini-Eleni Tsiropoulou, Symeon Papavassiliou:
A New Theoretical Evaluation Framework for Satisfaction Equilibria in Wireless Networks. - Dalton Cézane Gomes Valadares, Matteus Sthefano Leite da Silva, Andrey Elísio Monteiro Brito, Ewerton Monteiro Salvador:
Achieving Data Dissemination with Security using FIWARE and Intel Software Guard Extensions (SGX). - Ahmed Kedir Mohammed, Sule Yildirim, Ivar Farup, Marius Pedersen, Øistein Hovde:
Y-Net: A deep Convolutional Neural Network for Polyp Detection. - Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Kristian Kersting, Zoubin Ghahramani:
Probabilistic Deep Learning using Random Sum-Product Networks. - Rakshith Shetty, Mario Fritz, Bernt Schiele:
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision. - Quinten Stokkink, Johan Pouwelse:
Deployment of a Blockchain-Based Self-Sovereign Identity. - Andy Hess:
Exploring Feature Reuse in DenseNet Architectures. - Jian Ren, Zhe Li, Jianchao Yang, Ning Xu, Tianbao Yang, David J. Foran:
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching. - Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette:
Learning to Follow Language Instructions with Adversarial Reward Induction. - A. Hunter, Bryan A. Moore, Maruti Kumar Mudunuru, Viet T. Chau, Robyn L. Miller, Roselyne B. Tchoua, C. Nyshadham, Satish Karra, Dan O'Malley, Esteban Rougier, Hari S. Viswanathan, Gowri Srinivasan:
Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications. - Iulia Duta, Andrei Liviu Nicolicioiu, Simion-Vlad Bogolin, Marius Leordeanu:
Mining for meaning: from vision to language through multiple networks consensus. - Simon Graham, Hao Chen, Qi Dou, Pheng-Ann Heng, Nasir M. Rajpoot:
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images. - Clark Zhang, Jinwook Huh, Daniel D. Lee:
Learning Implicit Sampling Distributions for Motion Planning. - Michal Derezinski, Manfred K. Warmuth:
Reverse iterative volume sampling for linear regression. - Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec:
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. - Sina Dehghan, Tiebiao Zhao, Yang Zhao, Jie Yuan, Abdullah Ates, YangQuan Chen:
PID2018 Benchmark Challenge: Model Predictive Control With Conditional Integral Control Using A General Purpose Optimal Control Problem Solver - RIOTS. - Faqiang Wang, Cuicui Zhao, Jun Liu, Haiyang Huang:
Normalized Cut with Adaptive Similarity and Spatial Regularization. - Margaux Luck, Tristan Sylvain, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio:
Learning to rank for censored survival data. - Mohammadreza Javanmardi, Xiaojun Qi:
Robust Structured Multi-task Multi-view Sparse Tracking. - Panagiotis Papadopoulos, Panagiotis Ilia, Evangelos P. Markatos:
Truth in Web Mining: Measuring the Profitability and Cost of Cryptominers as a Web Monetization Model. - Tai-Ching Li, Joobin Gharibshah, Evangelos E. Papalexakis, Michalis Faloutsos:
TrollSpot: Detecting misbehavior in commenting platforms. - Moin Nadeem, Vibhor Nigam, Dimosthenis Anagnostopoulos, Patrick Carretas:
Automating Network Error Detection using Long-Short Term Memory Networks. - Abhejit Rajagopal, Shivkumar Chandrasekaran, Hrushikesh Narhar Mhaskar:
Deep Algorithms: designs for networks. - Udi Wieder:
Another Proof of Cuckoo hashing with New Variants. - Nitin Jonathan Myers, Amine Mezghani, Robert W. Heath Jr.:
Swift-Link: A compressive beam alignment algorithm for practical mmWave radios. - Zijian Bao, Wenbo Shi, Debiao He, Kim-Kwang Raymond Choo:
IoTChain: A Three-Tier Blockchain-based IoT Security Architecture. - Jiliang Zhang, Lu Wan:
CMOS: Dynamic Multi-key Obfuscation Structure for Strong PUFs. - Uday Singh Saini, Evangelos E. Papalexakis:
A Peek Into the Hidden Layers of a Convolutional Neural Network Through a Factorization Lens. - Moslem Forouzesh, Paeiz Azmi, Nader Mokari, Kai-Kit Wong:
Robust Physical Layer Security for Power Domain Non-orthogonal Multiple Access-Based HetNets and HUDNs, SIC Avoidance at Eavesdroppers. - Atefeh Gilani, Selma Belhadj Amor, Sadaf Salehkalaibar, Vincent Y. F. Tan:
Distributed Hypothesis Testing with Privacy Constraints. - Jia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen, Chu-Song Chen:
Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications. - Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart Russell:
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. - Vinayak Ramkumar, Myna Vajha, P. Vijay Kumar:
Determining the Generalized Hamming Weight Hierarchy of the Binary Projective Reed-Muller Code. - Amanda Bienz, William D. Gropp, Luke N. Olson:
Improving Performance Models for Irregular Point-to-Point Communication. - Moazzem Hossain, Soichi Nishio, Takafumi Hiranaka, Syoji Kobashi:
Real-time Surgical Tools Recognition in Total Knee Arthroplasty Using Deep Neural Networks. - Kathrin Grosse, Michael T. Smith, Michael Backes:
Killing Three Birds with one Gaussian Process: Analyzing Attack Vectors on Classification. - Mikolaj Bojanczyk, Filippo Cavallari, Thomas Place, Michal Skrzypczak:
Regular tree languages in low levels of Wadge Hierarchy. - Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. - Vijay Varadharajan, Kallol Krishna Karmakar, Udaya Kiran Tupakula, Michael Hitchens:
A Policy based Security Architecture for Software Defined Networks. - Hazem Sallouha, Mohammad Mahdi Azari, Sofie Pollin:
Energy-Constrained UAV Trajectory Design for Ground Node Localization. - Farhan Khawar, Nevin L. Zhang:
Learning Hierarchical Item Categories from Implicit Feedback Data for Efficient Recommendations and Browsing. - Hossein Shafagh, Lukas Burkhalter, Simon Duquennoy, Anwar Hithnawi, Sylvia Ratnasamy:
Droplet: Decentralized Authorization for IoT Data Streams. - Anastasiya Gorodilova, Sergey Agievich, Claude Carlet, Evgeny Gorkunov, Valeriya Idrisova, Nikolay Kolomeec, Alexandr Kutsenko, Svetla Nikova, Alexey Oblaukhov, Stjepan Picek, Bart Preneel, Vincent Rijmen, Natalia N. Tokareva:
Problems and solutions of the Fourth International Students' Olympiad in Cryptography NSUCRYPTO. - Binh Van Nguyen, Quang-Doanh Vu, Kiseon Kim:
Analysis and Optimization for Weighted Sum Rate in Energy Harvesting Cooperative NOMA Systems. - Ekta Prashnani, Hong Cai, Yasamin Mostofi, Pradeep Sen:
PieAPP: Perceptual Image-Error Assessment through Pairwise Preference. - Christian Payer, Darko Stern, Thomas Neff, Horst Bischof, Martin Urschler:
Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks. - Byungsoo Kim, Vinicius C. Azevedo, Nils Thuerey, Theodore Kim, Markus H. Gross, Barbara Solenthaler:
Deep Fluids: A Generative Network for Parameterized Fluid Simulations. - Paul Francis, Sebastian Probst Eide, Pawel Obrok, Cristian Berneanu, Sasa Juric, Reinhard Munz:
Extended Diffix. - Rita Ibrahim, Mohamad Assaad, Berna Sayraç, Azeddine Gati:
When Distributed outperforms Centralized Scheduling in D2D-Enabled Cellular Networks. - Alessandro Guidotti, Alessandro Vanelli-Coralli, Matteo Conti, Stefano Andrenacci, Symeon Chatzinotas, Nicola Maturo, Barry G. Evans, Adegbenga B. Awoseyila, Alessandro Ugolini, Tommaso Foggi, Lorenzo Gaudio, Nader Alagha, Stefano Cioni:
Architectures and Key Technical Challenges for 5G Systems Incorporating Satellites. - Andreas Makoto Hein, Hélène Condat:
Can Machines Design? An Artificial General Intelligence Approach. - Nicolas Dupin, El-Ghazali Talbi:
Clustering in a 2-dimensional Pareto Front: the p-median and p-center problems are polynomially solvable. - Alessandro Tomasi
Binary linear code weight distribution estimation by random bit stream compression. - Simon Foster, Kangfeng Ye, Ana Cavalcanti, Jim Woodcock:
Calculational Verification of Reactive Programs with Reactive Relations and Kleene Algebra. - Benjamin Doerr, Timo Kötzing, J. A. Gregor Lagodzinski, Johannes Lengler:
Bounding Bloat in Genetic Programming. - Jonathan Laserson, Christine Dan Lantsman, Michal Cohen-Sfady, Itamar Tamir, Eli Goz, Chen Brestel, Shir Bar, Maya Atar, Eldad Elnekave:
TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-rays. - Lavindra de Silva:
Addendum to "HTN Acting: A Formalism and an Algorithm". - Yishuo Zhang, Albert C. S. Chung:
Deep supervision with additional labels for retinal vessel segmentation task. - Yilong Yang, Quan Zu, Peng Liu, Defang Ouyang, Xiaoshan Li:
MicroShare: Privacy-Preserved Medical Resource Sharing through MicroService Architecture. - Amir Shaikhha, Andrew W. Fitzgibbon, Dimitrios Vytiniotis, Simon Peyton Jones, Christoph Koch:
Efficient Differentiable Programming in a Functional Array-Processing Language. - Abel Torres Montoya:
A New Framework for Machine Intelligence: Concepts and Prototype. - Heli Ben-Hamu, Haggai Maron, Itay Kezurer, Gal Avineri, Yaron Lipman:
Multi-chart Generative Surface Modeling. - Marcel von Maltitz, Georg Carle:
Leveraging Secure Multiparty Computation in the Internet of Things. - Erick Elejalde, Leo Ferres, Rossano Schifanella:
Understanding News Outlets' Audience-Targeting Patterns. - Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo:
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks. - Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger:
PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds. - Sapna Negi, Maarten de Rijke, Paul Buitelaar:
Open Domain Suggestion Mining: Problem Definition and Datasets. - Chun-Kit Yeung, Dit-Yan Yeung:
Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization. - Vahid Behzadan, Arslan Munir:
Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise. - Zhaohui Yang, Cunhua Pan, Yi-Jin Pan, Yongpeng Wu, Wei Xu, Mohammad Shikh-Bahaei, Ming Chen:
Cache Placement in Two-Tier HetNets with Limited Storage Capacity: Cache or Buffer? - Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch:
Deep Self-Organization: Interpretable Discrete Representation Learning on Time Series. - Stefanie Haustein:
Scholarly Twitter metrics. - Zhiyi Huang, Ning Kang, Zhihao Gavin Tang, Xiaowei Wu, Yuhao Zhang:
Online Makespan Minimization: The Power of Restart. - David Pfau, Stig Petersen, Ashish Agarwal, David G. T. Barrett, Kimberly L. Stachenfeld:
Spectral Inference Networks: Unifying Spectral Methods With Deep Learning. - Zhaohui Yang, Cunhua Pan, Mohammad Shikh-Bahaei, Wei Xu, Ming Chen, Maged Elkashlan, Arumugam Nallanathan:
Joint Altitude, Beamwidth, Location and Bandwidth Optimization for UAV-Enabled Communications. - Warren Smith, Thomas Moyer, Charles Munson:
Curator: Provenance Management for Modern Distributed Systems. - Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori:
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation. - Kuldeep S. Meel:
Constrained Counting and Sampling: Bridging the Gap between Theory and Practice. - Anne-Françoise Cutting-Decelle
Extraction Of Technical Information From Normative Documents Using Automated Methods Based On Ontologies : Application To The Iso 15531 Mandate Standard - Methodology And First Results. - Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. - Amir Bakarov, Roman Suvorov, Ilya Sochenkov:
The Limitations of Cross-language Word Embeddings Evaluation. - Liang Tong, Sixie Yu, Scott Alfeld, Yevgeniy Vorobeychik:
Adversarial Regression with Multiple Learners. - Dhiraj Sarkar, Pritam Bhattacharjee, Alak Majumder:
Data-Dependent Clock Gating approach for Low Power Sequential System. - Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee:
Deep Vessel Segmentation By Learning Graphical Connectivity. - Rohan Ramanath, Gungor Polatkan, Liqin Xu, Harold Lee, Bo Hu, Shan Zhou:
Deploying Deep Ranking Models for Search Verticals. - Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas:
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. - William Mandel, Olivier Turcot, Dejan Knez, Stefan Parent, Samuel Kadoury:
Spatiotemporal Manifold Prediction Model for Anterior Vertebral Body Growth Modulation Surgery in Idiopathic Scoliosis. - Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal:
AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. - Francisco Ibarra, Marcos Báez, Francesca Fiore, Fabio Casati:
Designing for Co-located and Virtual Social Interactions in Residential Care. - Edward T. Reehorst, Philip Schniter:
Regularization by Denoising: Clarifications and New Interpretations. - Xin Liu, Huanrui Yang, Linghao Song, Hai Li, Yiran Chen:
DPatch: Attacking Object Detectors with Adversarial Patches. - Yuankai Huo, Katherine Swett, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation. - Marc-Antoine Boucher, Sarah Lippé, Amélie Damphousse, Ramy El-Jalbout, Samuel Kadoury:
Dilatation of Lateral Ventricles with Brain Volumes in Infants with 3D Transfontanelle US. - Hector Geffner:
Model-free, Model-based, and General Intelligence. - Youssef A. Mejjati, Christian Richardt, James Tompkin, Darren Cosker, Kwang In Kim:
Unsupervised Attention-guided Image to Image Translation. - Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent:
Randomized Value Functions via Multiplicative Normalizing Flows. - Sérgio Pereira, Victor Alves, Carlos A. Silva:
Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI. - Hadi G. Ghauch, Mikael Skoglund, Hossein Shokri Ghadikolaei, Carlo Fischione, Ali H. Sayed:
Learning Kolmogorov Models for Binary Random Variables. - Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming-Hsuan Yang:
Fast and Accurate Online Video Object Segmentation via Tracking Parts. - Ayça Özçelikkale, Mehmet Köseoglu, Mani B. Srivastava:
Optimization vs. Reinforcement Learning for Wirelessly Powered Sensor Networks. - Diego Calderon, Brendan Juba, Sirui Li, Zongyi Li, Lisa Ruan:
Conditional Linear Regression. - Seth Neel, Aaron Roth:
Mitigating Bias in Adaptive Data Gathering via Differential Privacy. - Naoyuki Ichimura:
Spatial Frequency Loss for Learning Convolutional Autoencoders. - Chih-Hong Cheng, Georg Nührenberg, Chung-Hao Huang, Harald Ruess, Hirotoshi Yasuoka:
Towards Dependability Metrics for Neural Networks. - Kamilya Smagulova, Kazybek Adam, Olga Krestinskaya, Alex Pappachen James:
Design of CMOS-memristor Circuits for LSTM architecture. - Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song:
Adversarial Attack on Graph Structured Data. - Mieczyslaw A. Klopotek:
Dempsterian-Shaferian Belief Network From Data. - Serguei A. Mokhov, Joey Paquet, Arash Khodadadi:
Fast Context-Annotated Classification of Different Types of Web Service Descriptions. - Johan Bjorck, Carla P. Gomes, Bart Selman:
Understanding Batch Normalization. - Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar:
Predictive Analysis on Twitter: Techniques and Applications. - Amit Gajbhiye, Shailendra Singh:
Resource Provisioning and Scheduling Algorithm for Meeting Cost and Deadline-Constraints of Scientific Workflows in IaaS Clouds. - Edemir Ferreira, Mário S. Alvim, Jefersson A. dos Santos:
A Comparative Study on Unsupervised Domain Adaptation Approaches for Coffee Crop Mapping. - Hsin-Po Wang
Polar Code Moderate Deviation: Recovering the Scaling Exponent. - Sotiris-Angelos Lenas, Vassilis Tsaoussidis, Srikanth Sundaresan, Arjuna Sathiaseelan, Jon Crowcroft:
On the Impact of Guest Traffic in Open-Access Domestic Broadband Sharing Schemes. - Haichao Wang, Jinlong Wang, Guoru Ding, Zhu Han:
D2D Communications Underlaying Wireless Powered Communication Networks. - Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto:
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks. - Edwin Simpson, Iryna Gurevych:
Finding Convincing Arguments Using Scalable Bayesian Preference Learning. - Cheol Young Park, Kathryn Blackmond Laskey:
Human-aided Multi-Entity Bayesian Networks Learning from Relational Data. - Quanzeng You, Hao Jiang:
Action4D: Real-time Action Recognition in the Crowd and Clutter. - Aleksandra Kalinowska, Kathleen Fitzsimons, Julius P. A. Dewald, Todd D. Murphey:
Online User Assessment for Minimal Intervention During Task-Based Robotic Assistance. - Maximilian Igl, Luisa M. Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson:
Deep Variational Reinforcement Learning for POMDPs. - Fang-Hsiang Su, Jonathan Bell, Gail E. Kaiser, Baishakhi Ray:
Obfuscation Resilient Search through Executable Classification. - Casey Casalnuovo, Kenji Sagae, Premkumar T. Devanbu:
Studying the Difference Between Natural and Programming Language Corpora. - Meng Wu, Shengjian Guo, Patrick Schaumont, Chao Wang:
Eliminating Timing Side-Channel Leaks using Program Repair. - Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao:
Deep Ordinal Regression Network for Monocular Depth Estimation. - Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Pérez-Liébana:
Deep Reinforcement Learning for General Video Game AI. - Jalaj Bhandari, Daniel Russo, Raghav Singal:
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation. - Samiul Alam
NumtaDB - Assembled Bengali Handwritten Digits. - Seung Wook Kim, Makarand Tapaswi, Sanja Fidler:
Progressive Reasoning by Module Composition. - Dylan P. Losey, Marcia K. O'Malley:
Including Uncertainty when Learning from Human Corrections. - Cheol Young Park, Kathryn Blackmond Laskey:
MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model. - Cheol Young Park, Kathryn Blackmond Laskey:
Reference Model of Multi-Entity Bayesian Networks for Predictive Situation Awareness. - Pietro Pierpaoli, Dominique Sauter, Magnus Egerstedt:
Fault Tolerant Control for Networked Mobile Robots. - Lech Szymanski, Brendan McCane, Michael H. Albert:
The effect of the choice of neural network depth and breadth on the size of its hypothesis space. - Jiaxuan You, Bowen Liu, Rex Ying, Vijay S. Pande, Jure Leskovec:
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. - Sathiya Kumaran Mani, Ramakrishnan Durairajan, Paul Barford, Joel Sommers:
A System for Clock Synchronization in an Internet of Things. - Yisu Zhou, Xiaolin Hu, Bo Zhang:
Interlinked Convolutional Neural Networks for Face Parsing. - Zachary M. Boyd, Mason A. Porter, Andrea L. Bertozzi:
Stochastic Block Models are a Discrete Surface Tension. - Luqi Wang, Daqian Cheng, Fei Gao, Fengyu Cai, Jixin Guo, Mengxiang Lin, Shaojie Shen:
A Collaborative Aerial-Ground Robotic System for Fast Exploration. - Xiaohu Ge, Yang Sun, Hamid Gharavi, John S. Thompson:
Joint Optimization of Computation and Communication Power in Multi-user Massive MIMO Systems. - Rafer Cooley, Shaya Wolf, Mike Borowczak:
Secure and Decentralized Swarm Behavior with Autonomous Agents for Smart Cities. - Seyed Mohammad Seyedzadeh, Alex K. Jones, Rami G. Melhem:
Mitigating Wordline Crosstalk using Adaptive Trees of Counters. - Erick De la Rosa, Wen Yu:
Conditional probability calculation using restricted Boltzmann machine with application to system identification. - Ellis Ratner, Dylan Hadfield-Menell, Anca D. Dragan:
Simplifying Reward Design through Divide-and-Conquer. - Hossein Izadi Rad, Ji Feng, Hitoshi Iba:
GP-RVM: Genetic Programing-based Symbolic Regression Using Relevance Vector Machine. - Qizhi Zhang, Kuang-Chih Lee, Hongying Bao, Yuan You, Wenjie Li, Dongbai Guo:
Large scale classification in deep neural network with Label Mapping. - Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li:
Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. - El Mahdi El Mhamdi
Removing Algorithmic Discrimination (With Minimal Individual Error). - Lou Zhao, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Mark C. Reed:
Multi-cell Hybrid Millimeter Wave Systems: Pilot Contamination and Interference Mitigation. - Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba:
Information-Maximizing Sampling to Promote Tracking-by-Detection. - Yuta Nishimura, Katsuhito Sudoh, Graham Neubig, Satoshi Nakamura:
Multi-Source Neural Machine Translation with Missing Data. - Duc-Phong Le, Nadia El Mrabet, Safia Haloui, Chik How Tan:
On the near prime-order MNT curves. - Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen:
Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder. - Ye Shi, Hoang Duong Tuan, Ali A. Nasir, Trung Quang Duong, H. Vincent Poor:
PMU Placement Optimization for Smart Grid Obvervability and State Estimation. - Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. - Xiang Li, Wenhai Wang, Wenbo Hou, Ruo-Ze Liu, Tong Lu, Jian Yang:
Shape Robust Text Detection with Progressive Scale Expansion Network. - Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes:
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. - Jiaqi Li, Zhifeng Zhao, Rongpeng Li, Honggang Zhang:
AI-based Two-Stage Intrusion Detection for Software Defined IoT Networks. - Roberta Calegari, Enrico Denti, Stefano Mariani, Andrea Omicini:
Logic Programming as a Service. - Oliver M. Cliff, Nathan Harding, Mahendra Piraveenan, E. Yagmur Erten, Manoj Gambhir, Mikhail Prokopenko:
Investigating Spatiotemporal Dynamics and Synchrony of Influenza Epidemics in Australia: An Agent-Based Modelling Approach. - Nicolas Audebert
Generative Adversarial Networks for Realistic Synthesis of Hyperspectral Samples. - Shi Wang, Daoyi Dong:
Fault-Tolerant Control of Linear Quantum Stochastic Systems. - Sebastian Siebertz:
Greedy domination on biclique-free graphs. - Christoph Stanik, Lloyd Montgomery, Daniel Martens, Davide Fucci, Walid Maalej:
A Simple NLP-based Approach to Support Onboarding and Retention in Open-Source Communities. - Gregor Bankhamer, Robert Elsässer, Dominik Kaaser, Matjaz Krnc:
Fast Consensus Protocols in the Asynchronous Poisson Clock Model with Edge Latencies. - Farbod Kayhan, Guido Montorsi:
Code Design for Non-Coherent Detection of Frame Headers in Precoded Satellite Systems. - Michael Robinson, Kevin I. Jones, Helge Janicke, Leandros Maglaras:
Developing Cyber Peacekeeping: Observation, Monitoring and Reporting. - Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving. - Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey:
Dimensionality-Driven Learning with Noisy Labels. - Daniel Coelho de Castro, Ben Glocker:
Nonparametric Density Flows for MRI Intensity Normalisation. - Anahit Sargsyan, Areg Karapetyan, Wei Lee Woon, Aamena Alshamsi:
No Fragile Family Left Behind - Targeted Indicators of Academic Performance. - Joshua Heneage Dawes, Giles Reger:
Specification of State and Time Constraints for Runtime Verification of Functions. - Jie Zhang, Yan Wang, Jie Tang, Ming Ding:
Spectral Network Embedding: A Fast and Scalable Method via Sparsity. - Othon Michail, Paul G. Spirakis, Michail Theofilatos:
Fast Approximate Counting and Leader Election in Populations. - Han Cai, Jiacheng Yang, Weinan Zhang, Song Han, Yong Yu:
Path-Level Network Transformation for Efficient Architecture Search. - David Balduzzi, Karl Tuyls, Julien Pérolat, Thore Graepel:
Re-evaluating evaluation. - Kevin Buchin, Maximilian Konzack, Wim Reddingius:
Progressive Simplification of Polygonal Curves. - Yusuke Sugawara, Sayaka Shiota, Hitoshi Kiya:
Super-Resolution using Convolutional Neural Networks without Any Checkerboard Artifacts. - Martin Wistuba, Ambrish Rawat:
Scalable Multi-Class Bayesian Support Vector Machines for Structured and Unstructured Data. - Changliu Liu, Mykel J. Kochenderfer:
Analyzing Traffic Delay at Unmanaged Intersections. - Nikita Kalinin:
New mechanism for repeated posted price auction with a strategic buyer without discounting. - Yuval Atzmon, Gal Chechik:
Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning. - Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori:
Semi-Supervised Learning via Compact Latent Space Clustering. - Carlos Munuera, Wanderson Tenório, Fernando Torres:
Locally Recoverable codes from algebraic curves with separated variables. - Manuel Lagunas, Elena Garces:
Transfer Learning for Illustration Classification. - Lorenzo Sabattini, Valeria Villani, Julia N. Czerniak, Frieder Loch, Alexander Mertens, Birgit Vogel-Heuser, Cesare Fantuzzi:
Methodological Approach for the Evaluation of an Adaptive and Assistive Human-Machine System. - Fangfang Zheng, Saif Eddin Jabari, Henry X. Liu, DianChao Lin:
Traffic state estimation using stochastic Lagrangian dynamics. - Aaron Weiss, Daniel Patterson, Amal Ahmed:
Rust Distilled: An Expressive Tower of Languages. - Antonio Libri, Andrea Bartolini, Luca Benini:
Dwarf in a Giant: Enabling Scalable, High-Resolution HPC Energy Monitoring for Real-Time Profiling and Analytics. - Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis, Joan Serrà, Claudio Soriente:
There goes Wally: Anonymously sharing your location gives you away. - Savvas Kastanakis, Pavlos Sermpezis, Vasileios Kotronis, Xenofontas A. Dimitropoulos:
CABaRet: Leveraging Recommendation Systems for Mobile Edge Caching. - Mathijs Schuurmans, Maxim Berman, Matthew B. Blaschko:
Efficient semantic image segmentation with superpixel pooling. - Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao:
Multiobjective Test Problems with Degenerate Pareto Fronts. - Reda Bellafqira, Gouenou Coatrieux, Emmanuelle Génin, Michel Cozic:
Secure Multilayer Perceptron Based On Homomorphic Encryption. - Seda Gurses, Rebekah Overdorf, Ero Balsa:
POTs: The revolution will not be optimized? - Moshe Sipper, Jason H. Moore:
Gamorithm. - Panagiotis Charalampopoulos, Maxime Crochemore, Gabriele Fici, Robert Mercas, Solon P. Pissis:
Alignment-free sequence comparison using absent words. - Ryan Wesslen, Sashank Santhanam, Alireza Karduni, Isaac Cho, Samira Shaikh, Wenwen Dou:
Anchored in a Data Storm: How Anchoring Bias Can Affect User Strategy, Confidence, and Decisions in Visual Analytics. - Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell:
Speaker-Follower Models for Vision-and-Language Navigation. - Pierre Isabelle, Roland Kuhn:
A Challenge Set for French - English Machine Translation. - Alban Laflaquière, J. Kevin O'Regan, Bruno Gas, Alexander V. Terekhov:
Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience. - Martin Toepfer, Christin Seifert:
Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts under Precision and Recall Constraints. - Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Evaluating surgical skills from kinematic data using convolutional neural networks. - Gerhard Wunder, Ingo Roth, Rick Fritschek, Jens Eisert:
Performance of Hierarchical Sparse Detectors for Massive MTC. - Erik D. Demaine, Timothy D. Goodrich, Kyle Kloster, Brian Lavallee, Quanquan C. Liu, Blair D. Sullivan, Ali Vakilian, Andrew van der Poel:
Structural Rounding: Approximation Algorithms for Graphs Near an Algorithmically Tractable Class. - Sining Sun, Ching-Feng Yeh, Mari Ostendorf, Mei-Yuh Hwang, Lei Xie:
Training Augmentation with Adversarial Examples for Robust Speech Recognition. - Sining Sun, Ching-Feng Yeh, Mei-Yuh Hwang, Mari Ostendorf, Lei Xie:
Domain Adversarial Training for Accented Speech Recognition. - Elon Portugaly, Joseph J. Pfeiffer III:
Unbiased Estimation of the Value of an Optimized Policy. - Anis Elgabli, Vaneet Aggarwal:
FastScan: Robust Low-Complexity Rate Adaptation Algorithm for Video Streaming over HTTP. - John D. Co-Reyes, Yuxuan Liu, Abhishek Gupta, Benjamin Eysenbach, Pieter Abbeel, Sergey Levine:
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings. - Denis Newman-Griffis, Ayah Zirikly:
Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility. - Marko Mitrovic, Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi:
Data Summarization at Scale: A Two-Stage Submodular Approach. - Chelsea Finn, Kelvin Xu, Sergey Levine:
Probabilistic Model-Agnostic Meta-Learning. - Trieu H. Trinh, Quoc V. Le:
A Simple Method for Commonsense Reasoning. - Shrinivasan Sankar, Adrien Bartoli:
Model-based active learning to detect isometric deformable objects in the wild with deep architectures. - Timothy M. Chan, Thomas C. van Dijk, Krzysztof Fleszar, Joachim Spoerhase, Alexander Wolff:
Stabbing Rectangles by Line Segments - How Decomposition Reduces the Shallow-Cell Complexity. - Igor Linkov, Alexander Kott:
Fundamental Concepts of Cyber Resilience: Introduction and Overview. - Henri Palacci, Henry Hess:
Scalable Natural Gradient Langevin Dynamics in Practice. - Jingbo Du, Wei Xu, Hong Shen, Xiaodai Dong, Chunming Zhao:
Hybrid Precoding Architecture for Massive Multiuser MIMO with Dissipation: Sub-Connected or Fully-Connected Structures? - Rahul Gupta, Saurabh Sahu, Carol Y. Espy-Wilson, Shrikanth S. Narayanan:
Semi-supervised and Transfer learning approaches for low resource sentiment classification. - Guy Lorberbom, Andreea Gane, Tommi S. Jaakkola, Tamir Hazan:
Direct Optimization through arg max for Discrete Variational Auto-Encoder. - Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, Ying Zhang, Xiaojie Yuan:
Medical Concept Embedding with Time-Aware Attention. - Maurício Gruppi, Benjamin D. Horne, Sibel Adali:
An Exploration of Unreliable News Classification in Brazil and The U.S. - Yuezun Li, Ming-Ching Chang, Siwei Lyu:
In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking. - Harini Suresh, Jen J. Gong, John V. Guttag:
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU. - Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba:
Revisiting the Importance of Individual Units in CNNs via Ablation. - Mahdi M. Kalayeh, Mubarak Shah:
Training Faster by Separating Modes of Variation in Batch-normalized Models. - Xi Chen, Tengyu Ma, Jiawei Zhang, Yuan Zhou:
Optimal Design of Process Flexibility for General Production Systems. - Ben Athiwaratkun, Andrew Gordon Wilson, Anima Anandkumar:
Probabilistic FastText for Multi-Sense Word Embeddings. - Tejas K, Swathi C, Rajesh Kumar M:
Copy Move Forgery using Hus Invariant Moments and Log Polar Transformations. - Fahim Mohammad:
Is preprocessing of text really worth your time for online comment classification? - Maria Shugrina, Amlan Kar, Karan Singh, Sanja Fidler:
Color Sails: Discrete-Continuous Palettes for Deep Color Exploration. - Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, Thomas S. Huang:
Non-Local Recurrent Network for Image Restoration. - Jinsung Yoon, James Jordon, Mihaela van der Schaar:
GAIN: Missing Data Imputation using Generative Adversarial Nets. - Saurav Sahay, Shachi H. Kumar, Rui Xia, Jonathan Huang, Lama Nachman:
Multimodal Relational Tensor Network for Sentiment and Emotion Classification. - Shuai Zheng, James T. Kwok:
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data. - Bing Yao, Hui Sun, Hongyu Wang, Jing Su, Jin Xu:
Graph Theory Towards New Graphical Passwords In Information Networks. - Mohamed El Halaby, Areeg Abdalla:
Maximizing the Number of Satisfied L-clauses. - Riley Simmons-Edler, Anders Miltner, H. Sebastian Seung:
Program Synthesis Through Reinforcement Learning Guided Tree Search. - Pankaj K. Sharma, Dong In Kim:
Coverage Probability of 3D Mobile UAV Networks. - Xingyu Zhou, Jian Tan, Ness B. Shroff:
Flexible Load Balancing with Multi-dimensional State-space Collapse: Throughput and Heavy-traffic Delay Optimality. - Alexandra Birch, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Yusuke Oda:
Findings of the Second Workshop on Neural Machine Translation and Generation. - Xinyu Weng, Yongzhi Li, Lu Chi, Yadong Mu:
Convolutional Video Steganography with Temporal Residual Modeling. - Yu Li, Zhongxiao Li, Lizhong Ding, Peng Yang, Yuhui Hu, Wei Chen, Xin Gao:
SupportNet: solving catastrophic forgetting in class incremental learning with support data. - Adnan Mahmood, Hushairi Zen, Shadi M. S. Hilles:
Big Data and Privacy Issues for Connected Vehicles in Intelligent Transportation Systems. - (Withdrawn) Development of a Sliding Mode Control Based Adaptive Fuzzy Controller for a Flapping Flight.
- Minjia Shi, Hongwei Zhu, Liqin Qian, Lin Sok, Patrick Solé:
On self-dual and LCD double circulant and double negacirculant codes over Fq + uFq. - Gusi Te, Wei Hu, Zongming Guo, Amin Zheng:
RGCNN: Regularized Graph CNN for Point Cloud Segmentation. - Elaheh Sadeghabadi, Seyed Mohammad Azimi-Abarghouyi, Behrooz Makki, Masoumeh Nasiri-Kenari:
Asynchronous Downlink Massive MIMO Networks: A Stochastic Geometry Approach. - Jielong Yang, Junshan Wang, Wee Peng Tay:
Using Social Network Information in Bayesian Truth Discovery. - Mohammad Amin Nabian, Hadi Meidani:
A Deep Neural Network Surrogate for High-Dimensional Random Partial Differential Equations. - Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, Yi Zhang:
The Case for Full-Matrix Adaptive Regularization. - Ikuya Yamada, Hiroyuki Shindo, Yoshiyasu Takefuji:
Representation Learning of Entities and Documents from Knowledge Base Descriptions. - Tianwei Lin, Xu Zhao, Haisheng Su, Chongjing Wang, Ming Yang:
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation. - Xinye Cai, Haoran Sun, Chunyang Zhu, Zhenyu Li, Qingfu Zhang:
Locating the boundaries of Pareto fronts: A Many-Objective Evolutionary Algorithm Based on Corner Solution Search. - László Babai, Timothy J. F. Black, Angela Wuu:
List-decoding homomorphism codes with arbitrary codomains. - Wenbo Ren, Jia Liu, Ness B. Shroff:
PAC Ranking from Pairwise and Listwise Queries: Lower Bounds and Upper Bounds. - Varun Shankar, Robert M. Kirby, Aaron L. Fogelson:
Robust Node Generation for Meshfree Discretizations on Irregular Domains and Surfaces. - Eunji Park, Hyunju Kim, Injung Lee, Byungjoo Lee:
Whether Moving or Not: Modeling and Predicting Error Rates in Pointing Regardless of Target Motion. - Ram Prakash Sharma, Somnath Dey:
Fingerprint liveness detection using local quality features. - Tae Yeong Kim, Dong In Kim:
Novel Sparse-Coded Ambient Backscatter Communication for Massive IoT Connectivity. - Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder:
Monge beats Bayes: Hardness Results for Adversarial Training. - Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin:
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. - Jiedong Hao, Jing Dong, Wei Wang, Tieniu Tan:
DeepFirearm: Learning Discriminative Feature Representation for Fine-grained Firearm Retrieval. - Krassimir Valev, Arne Schumann, Lars Wilko Sommer, Jürgen Beyerer:
A Systematic Evaluation of Recent Deep Learning Architectures for Fine-Grained Vehicle Classification. - Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu:
Towards Binary-Valued Gates for Robust LSTM Training. - Guillaume Noyel
Logarithmic Mathematical Morphology: a new framework robust to illumination changes. - Junghoon Seo, Jeongyeol Choe, Jamyoung Koo, Seunghyeon Jeon, Beomsu Kim, Taegyun Jeon:
Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative. - Junghoon Seo, Seunghyun Jeon, Taegyun Jeon:
Domain Adaptive Generation of Aircraft on Satellite Imagery via Simulated and Unsupervised Learning. - Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori:
Machine learning-based colon deformation estimation method for colonoscope tracking. - Xiangyu Zhu, Hao Liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Stan Z. Li:
Large-scale Bisample Learning on ID vs. Spot Face Recognition. - Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Kenichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori:
3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation. - Valeria Villani, Lorenzo Sabattini, Alessio Levratti, Cesare Fantuzzi:
An Industrial Social Network for Sharing Knowledge Among Operators. - Xu Ouyang, Xi Zhang, Di Ma, Gady Agam:
Generating Image Sequence from Description with LSTM Conditional GAN. - Amir Nazemi, Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong:
Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition. - Udo Schilcher, Jorge F. Schmidt, Christian Bettstetter:
On Interference Dynamics in Matérn Networks. - Adnan Rashid
Formalization of Lerch's Theorem using HOL Light. - Michel Moukari, Sylvaine Picard, Loïc Simon, Frédéric Jurie:
Deep multi-scale architectures for monocular depth estimation. - Fabien Feschet:
The Saturated Subpaths Decomposition in Z 2 : a short note on generalized Tangential Cover. - Fredrik Milani, Luciano García-Bañuelos:
Blockchain and Principles of Business Process Re-Engineering for Process Innovation. - Xiaoming Chen, Weiqing You, Wenxi Li:
Provably Secure Integration Cryptosystem on Non-Commutative Group. - Xiaoming Chen, Weiqing You, Wenxi Li:
The Twin Conjugacy Search Problem and Applications. - Andrey Velichko, Maksim Belyaev, Petr Boriskov:
Model of an oscillatory neural network with multilevel neurons for pattern recognition. - Qingqiu Huang, Yu Xiong, Dahua Lin:
Unifying Identification and Context Learning for Person Recognition. - Damien C. Jacques:
Mobile Phone Metadata for Development. - Piotr Frackiewicz:
Quantum Penny Flip game with unawareness. - Philip Bille, Mikko Berggren Ettienne, Roberto Grossi, Inge Li Gørtz, Eva Rotenberg:
Compressed Communication Complexity of Longest Common Prefixes. - Katina Kralevska, Danilo Gligoroski:
An Explicit Construction of Systematic MDS Codes with Small Sub-packetization for All-Node Repair. - Alain Jungo, Raphael Meier, Ekin Ermis, Evelyn Herrmann, Mauricio Reyes:
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation. - Karol Gregor, Frederic Besse:
Temporal Difference Variational Auto-Encoder. - Krishnendu Chatterjee, Amir Kafshdar Goharshady, Rasmus Ibsen-Jensen, Yaron Velner:
Ergodic Mean-Payoff Games for the Analysis of Attacks in Crypto-Currencies. - (Withdrawn) Multi-Code-Rate Correction Technique with IR-QC-LDPC: An application to QKD.
- Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
VTrails: Inferring Vessels with Geodesic Connectivity Trees. - Shanxiang Lyu, Christian Porter, Cong Ling:
Performance Limits of Lattice Reduction over Imaginary Quadratic Fields with Applications to Compute-and-Forward. - Georgios Amanatidis, Georgios Birmpas, Evangelos Markakis:
Comparing Approximate Relaxations of Envy-Freeness. - Xu Chen, Wenzhong Li, Sanglu Lu, Zhi Zhou, Xiaoming Fu:
Efficient Resource Allocation for On-Demand Mobile-Edge Cloud Computing. - Cyril Banderier, Philippe Marchal, Michael Wallner:
Periodic Pólya urns and an application to Young tableaux. - Eric Kergosien, Amin Farvardin, Maguelonne Teisseire, Marie-Noëlle Bessagnet, Joachim Schöpfel
Automatic Identification of Research Fields in Scientific Papers. - Chunlin Chen, Daoyi Dong, Han-Xiong Li, Jian Chu, Tzyh Jong Tarn:
Fidelity-based Probabilistic Q-learning for Control of Quantum Systems. - Daoyi Dong, Yuanlong Wang:
Several recent developments in estimation and robust control of quantum systems. - Fabrizio Maria Maggi, Andrea Marrella, Fredrik Milani, Allar Soo, Silva Kasela:
A User Evaluation of Automated Process Discovery Algorithms. - Eliseu M. Oliveira, Rafael Freitas, Joberto S. B. Martins
Evaluating CBR Similarity Functions for BAM Switching in Networks with Dynamic Traffic Profile. - Maxli Campos, Joberto S. B. Martins
A SDN-based Flexible System for On-the-Fly Monitoring and Treatment of Security Events. - Pedro F. Moraes, Rafael F. Reale, Joberto S. B. Martins:
A Publish/Subscribe QoS-aware Framework for Massive IoT Traffic Orchestration. - Kirill Nikitin, Ludovic Barman, Matthew Underwood, Bryan Ford:
Reducing Metadata Leakage from Encrypted Files and Communication with PURBs. - Ganzhao Yuan, Wei-Shi Zheng, Li Shen, Bernard Ghanem
A Generalized Matrix Splitting Algorithm. - Lei Huang, Guang-Jie Ren, Shun Jiang, Raphael Arar, Eric Young Liu:
Data-driven Analytics for Business Architectures: Proposed Use of Graph Theory. - Kanstantsin Pashkovich:
On Critical Threshold Value for Simple Games. - Jiaqi Chen, Xiaohu Ge, Xueying Song, Yi Zhong:
Base Station Switch-off with Mutual Repulsion in 5G Massive MIMO Networks. - Lena Maier-Hein, Matthias Eisenmann, Carolin Feldmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, Bernard Gibaud
Surgical Data Science: A Consensus Perspective. - Daniel Stoller, Sebastian Ewert, Simon Dixon:
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation. - Ye Shi, Hoang Duong Tuan, Andrey V. Savkin:
Mixed integer nonlinear programming for Joint Coordination of Plug-in Electrical Vehicles Charging and Smart Grid Operations. - Yuanzhi Li, Yoram Singer:
The Well Tempered Lasso. - Stephen Roller, Douwe Kiela, Maximilian Nickel:
Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora. - Emilia Gómez, Carlos Castillo, Vicky Charisi, Verónica Dahl, Gustavo Deco, Blagoj Delipetrev, Nicole Dewandre, Miguel Ángel González Ballester, Fabien Gouyon, José Hernández-Orallo, Perfecto Herrera, Anders Jonsson, Ansgar Koene, Martha A. Larson, Ramón López de Mántaras, Bertin Martens, Marius Miron, Rubén Moreno-Bote, Nuria Oliver, Antonio Puertas Gallardo
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour. - Panos N. Alevizos:
Low-Complexity Multiuser QAM Detection for Uplink 1-bit Massive MIMO. - Fabian Kunze, Gert Smolka, Yannick Forster
Formal Small-step Verification of a Call-by-value Lambda Calculus Machine. - Murat Demirbas, Aleksey Charapko, Ailidani Ailijiang:
Does The Cloud Need Stabilizing? - Jordan D. Dworkin, Russell T. Shinohara, Danielle S. Bassett:
The landscape of NeuroImage-ing research. - Mohammad Yousefvand, Mohammad Hajimirsadeghi, Narayan B. Mandayam:
Impact of End-User Behavior on User/Network Association in HetNets. - Alberto Bartoli, Eric Medvet, Andrea De Lorenzo, Fabiano Tarlao:
(In)Secure Configuration Practices of WPA2 Enterprise Supplicants. - Nikita Klyuchnikov, Alexey Zaytsev, Arseniy Gruzdev, Georgiy Ovchinnikov, Ksenia Antipova, Leyla S. Ismailova, Ekaterina A. Muravleva, Evgeny Burnaev, Artyom Semenikhin, Alexey Cherepanov, Vitaliy Koryabkin, Igor Simon, Alexey Tsurgan, Fedor Krasnov, Dmitry A. Koroteev:
Data-driven model for the identification of the rock type at a drilling bit. - Elena Musi
ChangeMyView Through Concessions: Do Concessions Increase Persuasion? - Mine Altunay, W. David Dagenhart, Stuart Fuess, Burt Holzman, Jim Kowalkowski, Dmitry Litvintsev, Qiming Lu, Parag Mhashilkar, Alexander Moibenko, Marc F. Paterno, Panagiotis Spentzouris, Steven Timm, Anthony Tiradani:
Intelligently-automated facilities expansion with the HEPCloud Decision Engine. - Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven G. McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert:
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. - Guillaume Guex, Ilkka Kivimäki, Marco Saerens:
Randomized Optimal Transport on a Graph: Framework and New Distance Measures. - Viktoras Kabir Veitas, Simon Delaere:
Policy Scan and Technology Strategy Design methodology. - Noah Carter, Mohammad Asadul Hoque, Md. Salman Ahmed:
Simulating Vehicle Movement and Multi-Hop Connectivity from Basic Safety Messages. - Hongling Shi, Kun Mean Hou, Xunxing Diao, Xing Liu, Jian-Jin Li, Christophe de Vaulx:
A Wireless Multimedia Sensor Network Platform for Environmental Event Detection Dedicated to Precision Agriculture. - Khaled Sellami, Lynda Sellami, Pierre F. Tiako:
Reconfigurable Ubiquitous Computing Infrastructure for Load Balancing. - Radek Pelánek, Tomás Effenberger, Matej Vanek, Vojtech Sassmann, Dominik Gmiterko:
Measuring Item Similarity in Introductory Programming: Python and Robot Programming Case Studies. - Yasyf Mohamedali:
Matching Startup Founders to Investors: a Tool and a Study. - Leena Khanna, Shailendra Narayan Singh, Mansaf Alam:
Multidimensional Analysis of Psychological Factors affecting Students Academic Performance. - Viktoras Kabir Veitas, Simon Delaere:
In-vehicle data recording, storage and access management in autonomous vehicles. - Chronis Kynigos, Marianthi Grizioti, Christina Gkreka:
Studying real-world societal problems in a STEM context through robotics. - Ornella Mich, Roberto Tiella:
ROBOTIKANDO: a Web Tool for Supporting Teacher Practicing Robotics in Kindergarten. - Camilla Monaco, Ornella Mich
Investigating Mental Representations about Robots in Preschool Children. - Francisco Ibarra, Grzegorz Kowalik, Marcos Báez, Radoslaw Nielek, Norma Lau, Luca Cernuzzi, Fabio Casati:
Design Challenges for Reconnecting in Later Life: A Qualitative Study. - Dimiter Dobrev
AI Should Not Be an Open Source Project. - Shiva Prasad H. C, Giridhar Kamath, Gopalkrishna Barkur, Rakesh Naik:
Does supplier evaluation impact process improvement? - Giridhar Kamath, Rakesh Naik, Shiva Prasad H. C:
A vendors evaluation using AHP for an Indian steel pipe manufacturing company. - Sanchit Alekh:
EU General Data Protection Regulation: A Gentle Introduction. - Idit Sohlberg:
Driving by the Elderly and their Awareness of their Driving Difficulties (Hebrew). - Austin Hounsel, Prateek Mittal, Nick Feamster:
CensorSeeker: Generating a Large, Culture-Specific Blocklist for China. - Chun-Kit Yeung, Zizheng Lin, Kai Yang, Dit-Yan Yeung:
Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction. - Barbara Solenthaler, Severin Klingler, Tanja Käser, Markus H. Gross:
Ten Years of Research on Intelligent Educational Games for Learning Spelling and Mathematics. - Mrutyunjaya Panda:
DBBRBF- Convalesce optimization for software defect prediction problem using hybrid distribution base balance instance selection and radial basis Function classifier. - Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik:
PatchFCN for Intracranial Hemorrhage Detection. - Mohamed Torky
Orbital Petri Nets: A Novel Petri Net Approach. - Xiaoshuai Zhang, Wenhan Yang, Yueyu Hu, Jiaying Liu:
DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal. - Junjie Ma, Ji Xu, Arian Maleki:
Approximate Message Passing for Amplitude Based Optimization. - Yueming Sun, Yi Zhang:
Conversational Recommender System. - Graeme W. Blackwood, Miguel Ballesteros, Todd Ward:
Multilingual Neural Machine Translation with Task-Specific Attention. - Yannic Noller, Rody Kersten, Corina S. Pasareanu:
Badger: Complexity Analysis with Fuzzing and Symbolic Execution. - Daniel Fried, Dan Klein:
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing. - Rajbir-Singh Nirwan, Nils Bertschinger:
Estimation of Covariance Matrices for Portfolio Optimization using Gaussian Processes. - Davood Rafiei, Fan Deng:
Similarity Join and Self-Join Size Estimation in a Streaming Environment. - Justin DeBenedetto, David Chiang:
Algorithms and Training for Weighted Multiset Automata and Regular Expressions. - Chengxiang Yin, Jian Tang, Zhiyuan Xu, Yanzhi Wang:
Adversarial Meta-Learning. - Robert S. DiPietro, Gregory D. Hager:
Unsupervised Learning for Surgical Motion by Learning to Predict the Future. - Jaya Prakash Champati, Hussein Al-Zubaidy, James Gross:
Transient Delay Bounds for Multi-Hop Wireless Networks. - Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
A Tunable Measure for Information Leakage. - Palash Goyal, K. S. M. Tozammel Hossain, Ashok Deb, Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Emilio Ferrara, Kristina Lerman:
Discovering Signals from Web Sources to Predict Cyber Attacks. - Chongtao Guo, Le Liang, Geoffrey Ye Li:
Resource Allocation for Low-Latency Vehicular Communications with Packet Retransmission. - Mohammad Akbari, Jie Liang, Jingning Han:
DSSLIC: Deep Semantic Segmentation-based Layered Image Compression. - Tim Roughgarden, Joshua R. Wang:
An Optimal Algorithm for Online Unconstrained Submodular Maximization. - Victor Ardulov, Manoj Kumar, Shanna Williams, Thomas D. Lyon, Shrikanth S. Narayanan:
Measuring Conversational Productivity in Child Forensic Interviews. - Jessica Sena, Artur Jordão, William Robson Schwartz:
A Content-Based Late Fusion Approach Applied to Pedestrian Detection. - Michael Dinitz, Magnús M. Halldórsson, Calvin Newport:
Distributed Algorithms for Minimum Degree Spanning Trees. - Habeeb Hooshmand, Joseph Martinsen, Jonathan Arauco, Alishah Dholasaniya, Bhavik Bhatt:
An Exploration of H-1B Visa Applications in the United States. - Natalie Parde, Rodney D. Nielsen:
#SarcasmDetection is soooo general! Towards a Domain-Independent Approach for Detecting Sarcasm. - Etienne Pot, Alexander Toshev, Jana Kosecka:
Self-supervisory Signals for Object Discovery and Detection. - Aaron Harlap, Deepak Narayanan, Amar Phanishayee, Vivek Seshadri, Nikhil R. Devanur, Gregory R. Ganger, Phillip B. Gibbons:
PipeDream: Fast and Efficient Pipeline Parallel DNN Training. - Xiao Zhou, Desislava Hristova, Anastasios Noulas, Cecilia Mascolo, Max Sklar:
Cultural Investment and Urban Socio-Economic Development: A Geo-Social Network Approach. - Li-Chi Huang, Kuldeep Kulkarni, Anik Jha, Suhas Lohit, Suren Jayasuriya, Pavan K. Turaga:
CS-VQA: Visual Question Answering with Compressively Sensed Images. - Noseong Park, Mahmoud Mohammadi, Kshitij Gorde, Sushil Jajodia, Hongkyu Park, Youngmin Kim:
Data Synthesis based on Generative Adversarial Networks. - Md Shahzamal, Raja Jurdak, Bernard Mans, Frank de Hoog:
A Graph Model with Indirect Co-location Links. - Xudong Chen:
Joint Actuator-sensor Design for Stochastic Linear Systems. - Kar-Ann Toh, Lei Sun, Zhiping Lin:
Deterministic Stretchy Regression. - Chun-I Fan, Jheng-Jia Huang, Min-Zhe Zhong, Ruei-Hau Hsu, Wen-Tsuen Chen, Jemin Lee:
ReHand: Secure Region-based Fast Handover with User Anonymity for Small Cell Networks in 5G. - Kai Cai, Guangyue Han:
An Optimization Approach to the Langberg-Médard Multiple Unicast Conjecture. - Philipp Lottes, Jens Behley, Andres Milioto, Cyrill Stachniss:
Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming. - Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss:
Joint Stem Detection and Crop-Weed Classification for Plant-specific Treatment in Precision Farming. - Maximilian Nickel, Douwe Kiela:
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry. - Zoltán Király, Dömötör Pálvölgyi:
Acyclic orientations with degree constraints. - Kumiko Tanaka-Ishii, Hiroshi Terada:
Word Familiarity and Frequency. - Hongjiao Guan, Yingtao Zhang, Heng-Da Cheng, Xianglong Tang:
Abstaining Classification When Error Costs are Unequal and Unknown. - Xietian Huang, Wei Xu, Hong Shen, Hua Zhang, Xiaohu You:
Utility-Energy Efficiency Oriented User Association with Power Control in Heterogeneous Networks. - Thilini Bhagya, Jens Dietrich
GHTraffic: A Dataset for Reproducible Research in Service-Oriented Computing. - Xietian Huang, Wei Xu, Guo Xie, Shi Jin, Xiaohu You:
Learning Oriented Cross-Entropy Approach to User Association in Load-Balanced HetNet. - Brad Alexander:
A Preliminary Exploration of Floating Point Grammatical Evolution. - Babak Tavassoli:
On Model Predictive Control of Hybrid Systems. - Amartya Sanyal, Matt J. Kusner, Adrià Gascón, Varun Kanade:
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service. - Ivan Kreso, Marin Orsic, Petra Bevandic, Sinisa Segvic:
Robust Semantic Segmentation with Ladder-DenseNet Models. - Miruna Oprescu, Vasilis Syrgkanis, Zhiwei Steven Wu:
Orthogonal Random Forest for Heterogeneous Treatment Effect Estimation. - Richard A. Eisenberg, Joachim Breitner, Simon Peyton Jones:
Type variables in patterns. - Cong Tran, Won-Yong Shin, Sang-Il Choi:
DIR-ST2: Delineation of Imprecise Regions Using Spatio-Temporal-Textual Information. - Chengyuan Zhang, Ruipeng Chen, Lei Zhu, Anfeng Liu, Yunwu Lin, Fang Huang:
Hierarchical Information Quadtree: Efficient Spatial Temporal Image Search for Multimedia Stream. - Izudin Dzafic, Rabih A. Jabr, Bikash C. Pal:
Real-Time Equality-Constrained Hybrid State Estimation in Complex Variables. - Pieter Van Molle, Tim Verbelen, Elias De Coninck, Cedric De Boom, Pieter Simoens, Bart Dhoedt:
Learning to Grasp from a Single Demonstration. - Roy D. Yates:
The Age of Information in Networks: Moments, Distributions, and Sampling. - Abbas Ghaddar, Philippe Langlais:
Robust Lexical Features for Improved Neural Network Named-Entity Recognition. - Joshua R. Bertram, Peng Wei:
Explainable Deterministic MDPs. - Shlomi Dolev, Thomas Petig, Elad Michael Schiller:
Self-Stabilizing and Private Distributed Shared Atomic Memory in Seldomly Fair Message Passing Networks. - James L. Cox, Tayfun Pay:
An Overview Of Some Semantic And Syntactic Complexity Classes. - Selim S. Seferbekov, Vladimir I. Iglovikov, Alexander V. Buslaev, Alexey A. Shvets:
Feature Pyramid Network for Multi-Class Land Segmentation. - Shuang Li, Hassan Mansour, Michael B. Wakin:
An Optimization View of MUSIC and Its Extension to Missing Data. - Néstor Cataño:
Improving the Reliability of Mobility Applications. - Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, Quan Lu:
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. - Hanan Hindy, Elike Hodo, Ethan Bayne, Amar Seeam, Robert C. Atkinson, Xavier J. A. Bellekens:
A Taxonomy of Malicious Traffic for Intrusion Detection Systems. - Hanan Hindy, David Brosset, Ethan Bayne, Amar Seeam, Christos Tachtatzis
A Taxonomy and Survey of Intrusion Detection System Design Techniques, Network Threats and Datasets. - Néstor Cataño:
A Logical Framework for Verifying Privacy Breaches of Social Networks. - Tanya Chernyakova, Dan Cohen, Meged Shoham, Yonina C. Eldar:
iMAP Beamforming for High Quality High Frame Rate Imaging. - Néstor Cataño:
Engaging Millennials into Learning Formal Methods. - Mor Geva, Jonathan Berant:
Learning to Search in Long Documents Using Document Structure. - Uwe Schmidt, Martin Weigert, Coleman Broaddus, Gene Myers:
Cell Detection with Star-convex Polygons. - Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka:
Representation Learning on Graphs with Jumping Knowledge Networks. - Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, Erik Velldal:
Diachronic word embeddings and semantic shifts: a survey. - Erik D. Demaine, Isaac Grosof, Jayson Lynch, Mikhail Rudoy:
Computational Complexity of Motion Planning of a Robot through Simple Gadgets. - Niki Vazou, Joachim Breitner, Will Kunkel, David Van Horn, Graham Hutton:
Functional Pearl: Theorem Proving for All (Equational Reasoning in Liquid Haskell). - Anirudh Sabnis, Ramesh K. Sitaraman, Donald F. Towsley:
OCCAM: An Optimization-Based Approach to Network Inference. - Christian Moya, Junho Hong, Jiankang Wang:
Application of Correlation Indices on Intrusion Detection Systems: Protecting the Power Grid Against Coordinated Attacks. - Ramina Ghods, Andrew S. Lan, Tom Goldstein, Christoph Studer:
Linear Spectral Estimators and an Application to Phase Retrieval. - Seung Gyu Hyun, Stephen Melczer, Catherine St-Pierre:
A fast algorithm for solving linearly recurrent sequences. - Aman Agarwal, Ivan Zaitsev, Thorsten Joachims:
Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank. - Akila Pemasiri, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
Sparse Over-complete Patch Matching. - Mohamed Grissa, Attila A. Yavuz, Bechir Hamdaoui:
Location Privacy Preservation in Database-Driven Wireless Cognitive Networks Through Encrypted Probabilistic Data Structures. - Akila Pemasiri, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
Semantic Correspondence: A Hierarchical Approach. - Peter Clark:
What Knowledge is Needed to Solve the RTE5 Textual Entailment Challenge? - Nan Wang, Hongning Wang, Yiling Jia, Yue Yin:
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data. - Ryan O'Donnell, Yu Zhao:
On closeness to k-wise uniformity. - Mohamed Grissa, Attila A. Yavuz, Bechir Hamdaoui:
LPOS: Location Privacy for Optimal Sensing in Cognitive Radio Networks. - Duo Lu, Dijiang Huang:
FMHash: Deep Hashing of In-Air-Handwriting for User Identification. - Yiqi Yan, Lei Zhang, Jun Li, Wei Wei, Yanning Zhang:
Accurate Spectral Super-resolution from Single RGB Image Using Multi-scale CNN. - Yu Zhan, Wan-Lei Zhao:
Instance Search via Instance Level Segmentation and Feature Representation. - Weinan Zhang:
Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances. - An Yang, Kai Liu, Jing Liu, Yajuan Lyu, Sujian Li:
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task. - Yuying Li, Mehdi Faraji:
EREL Selection using Morphological Relation. - Anirudh Topiwala, Pranav Inani, Abhishek Kathpal:
Frontier Based Exploration for Autonomous Robot. - Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C. Bezdek:
A Scalable Framework for Trajectory Prediction. - Mehdi Faraji, Anup Basu:
A Simplified Active Calibration algorithm for Focal Length Estimation. - Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang:
Free-Form Image Inpainting with Gated Convolution. - Nurendra Choudhary, Rajat Singh, Manish Shrivastava:
Cross-Lingual Task-Specific Representation Learning for Text Classification in Resource Poor Languages. - Moussa Amrani, Levi Lúcio, Adrien Bibal:
ML + FV = ♡? A Survey on the Application of Machine Learning to Formal Verification. - Ali A. Nasir, Hoang Duong Tuan, Trung Quang Duong, H. Vincent Poor:
UAV-Enabled Communication Using NOMA. - Pedro Reviriego, Salvatore Pontarelli, Gil Levy:
CuCoTrack: Cuckoo Filter Based Connection Tracking. - Vedran Sekara, Enys Mones, Håkan Jonsson:
Temporal Limits of Privacy in Human Behavior. - Yan Ke, Jia Liu, Minqing Zhang, Tingting Su, Xiaoyuan Yang:
Steganography Security: Principle and Practice. - Suyu Dong, Gongning Luo, Kuanquan Wang, Shaodong Cao, Ashley Mercado, Olga Shmuilovich, Henggui Zhang, Shuo Li:
VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-voxel Discrimination. - Yougen Yuan, Cheung-Chi Leung, Lei Xie, Hongjie Chen, Bin Ma, Haizhou Li:
Learning Acoustic Word Embeddings with Temporal Context for Query-by-Example Speech Search. - Lyujie Chen, Wufan Wang, Jihong Zhu:
Learning Transferable UAV for Forest Visual Perception. - Sandy Engelhardt, Raffaele De Simone, Peter M. Full, Matthias Karck, Ivo Wolf:
Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries. - Shih-Chung Ben Lo, Matthew T. Freedman, Seong Ki Mun, Shuo Gu:
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators. - Ali A. Esswie, Octavia A. Dobre, Salama Ikki:
Directional Spatial Channel Estimation For Massive FD-MIMO in Next Generation 5G Networks. - Jonatan Barkan, Goren Gordon:
Deep Curiosity Loops in Social Environments. - Guy Shalev:
On the Fourier Entropy Influence Conjecture for Extremal Classes. - Ken Yano:
Neural Disease Named Entity Extraction with Character-based BiLSTM+CRF in Japanese Medical Text. - Apurba Kumar Das, Bowen Huang, Umesh Vaidya:
Data-Driven Optimal Control Using Perron-Frobenius Operator. - An Yang, Sujian Li:
SciDTB: Discourse Dependency TreeBank for Scientific Abstracts. - Jean-François Biasse, Annamaria Iezzi, Michael J. Jacobson Jr.:
A note on the security of CSIDH. - Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Stephan Vogel:
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation. - Aaron M. Roth, Umang Bhatt, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela M. Veloso:
The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting. - Ofer M. Shir, Amir Yehudayoff:
On the Covariance-Hessian Relation in Evolution Strategies. - Stanislav Sobolevsky:
Complex network representation through multi-dimensional node projection. - Michael J. Bommarito II, Daniel Martin Katz, Eric M. Detterman:
LexNLP: Natural language processing and information extraction for legal and regulatory texts. - Junyang Lin, Xu Sun, Xuancheng Ren, Shuming Ma, Jinsong Su, Qi Su:
Deconvolution-Based Global Decoding for Neural Machine Translation. - Karim Sultan, Umar Ruhi, Rubina Lakhani:
Conceptualizing Blockchains: Characteristics & Applications. - Yuxiao Dong, Hao Ma, Jie Tang, Kuansan Wang:
Collaboration Diversity and Scientific Impact. - Mehdi Faraji, Irene Cheng, Iris Naudin, Anup Basu:
Segmentation of Arterial Walls in Intravascular Ultrasound Cross-Sectional Images Using Extremal Region Selection. - Dina Bashkirova, Ben Usman, Kate Saenko:
Unsupervised Video-to-Video Translation. - Shrohan Mohapatra:
Convolutional number-theoretic method to optimise integer matrix multiplication. - Ronny Tredup, Christian Rosenke:
Towards Completely Characterizing the Complexity of Boolean Nets Synthesis. - Rozita Teymourzadeh, Rahim Nakhli Mahal, Ng Keng Shen, Kok Wai Chan:
Adaptive Intelligent Spider Robot. - Yossi Azar, Amit Jacob Fanani:
Deterministic Min-Cost Matching with Delays. - Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang:
Deep Reinforcement Learning for Chinese Zero pronoun Resolution. - Elena Kochkina, Maria Liakata, Arkaitz Zubiaga:
All-in-one: Multi-task Learning for Rumour Verification. - Hexiang Hu, Wei-Lun Chao, Fei Sha:
Learning Answer Embeddings for Visual Question Answering. - Wei-Lun Chao, Hexiang Hu, Fei Sha:
Cross-Dataset Adaptation for Visual Question Answering. - Fei Mi, Boi Faltings:
Context Tree for Adaptive Session-based Recommendation. - Ryan Cotterell, Christo Kirov, S. J. Mielke, Jason Eisner:
Unsupervised Disambiguation of Syncretism in Inflected Lexicons. - Ryan Cotterell, S. J. Mielke, Jason Eisner, Brian Roark:
Are All Languages Equally Hard to Language-Model? - Lawrence Wolf-Sonkin, Jason Naradowsky, S. J. Mielke, Ryan Cotterell:
A Structured Variational Autoencoder for Contextual Morphological Inflection. - Michael Hauser, Sean Gunn, Samer Saab Jr., Asok Ray:
State Space Representations of Deep Neural Networks. - Kapil Sharma, Gurjit Singh Walia, Ashish Kumar, Astitwa Saxena, Kuldeep Singh:
Robust Object Tracking with Crow Search Optimized Multi-cue Particle Filter. - Antonis Anastasopoulos, Marika Lekakou, Josep Quer, Eleni Zimianiti, Justin DeBenedetto, David Chiang:
Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian Resource. - Xiaofang Sun, Nan Yang, Shihao Yan, Zhiguo Ding, Derrick Wing Kwan Ng, Chao Shen, Zhangdui Zhong:
Joint Beamforming and Power Allocation in Downlink NOMA Multiuser MIMO Networks. - Guoxia Wang, Xiaohui Liang, Frederick W. B. Li:
DOOBNet: Deep Object Occlusion Boundary Detection from an Image. - Warit Sirichotedumrong, Tatsuya Chuman, Shoko Imaizumi, Hitoshi Kiya:
Grayscale-based Block Scrambling Image Encryption for Social Networking Services. - Ben Adcock, Claire Boyer, Simone Brugiapaglia:
On oracle-type local recovery guarantees in compressed sensing. - Daniel Cohen, Scott M. Jordan, W. Bruce Croft:
Distributed Evaluations: Ending Neural Point Metrics. - Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang:
Context-Aware Policy Reuse. - Yash Upadhyay, Paul Schrater:
Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks. - Amir-Reza Asadi, Emmanuel Abbe, Sergio Verdú:
Chaining Mutual Information and Tightening Generalization Bounds. - Ketan Patil, Aditya Kanade:
Greybox fuzzing as a contextual bandits problem. - Fuhui Zhou, Zheng Chu, Yongpeng Wu, Naofal Al-Dhahir, Pei Xiao:
Enhancing PHY Security of MISO NOMA SWIPT Systems With a Practical Non-Linear EH Model. - Xingkang He, Xiaocheng Zhang, Wenchao Xue, Haitao Fang:
Distributed Kalman Filter for A Class of Nonlinear Uncertain Systems: An Extended State Method. - Mordecai J. Golin, Sai Sandeep:
Minmax-Regret k-Sink Location on a Dynamic Tree Network with Uniform Capacities. - Kiarash Shaloudegi, András György:
Adaptive MCMC via Combining Local Samplers. - Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan:
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. - Rama Rohit Reddy Gangula, Radhika Mamidi:
Addition of Code Mixed Features to Enhance the Sentiment Prediction of Song Lyrics. - Pranav Rajpurkar, Robin Jia, Percy Liang:
Know What You Don't Know: Unanswerable Questions for SQuAD. - Mohit Shridhar, David Hsu:
Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction. - Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn:
Bayesian Model-Agnostic Meta-Learning. - Pietro Hiram Guzzi, Marianna Milano, Pierangelo Veltri, Mario Cannataro:
HetNetAligner: Design and Implementation of an algorithm for heterogeneous network alignment on Apache Spark. - Aly Magassouba, Komei Sugiura, Hisashi Kawai:
A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks from Ambiguous Language Instructions. - Andreas Hess, Raphael Meier, Johannes Kaesmacher, Simon Jung, Fabien Scalzo, David S. Liebeskind, Roland Wiest, Richard McKinley:
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning. - Alex Hernández-García
Data augmentation instead of explicit regularization. - Shangzhen Luan, Yan Li, Xiaodi Wang, Baochang Zhang:
Object detection and tracking benchmark in industry based on improved correlation filter. - Shan Zhang, Wei Quan, Junling Li, Weisen Shi, Peng Yang, Xuemin Shen:
Air-Ground Integrated Vehicular Network Slicing with Content Pushing and Caching. - João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero:
Massively Parallel Video Networks. - Alon Eden, Michal Feldman, Amos Fiat, Kira Goldner:
Interdependent Values without Single-Crossing. - Yuichiroh Matsubayashi, Kentaro Inui:
Distance-Free Modeling of Multi-Predicate Interactions in End-to-End Japanese Predicate-Argument Structure Analysis. - Majd Latah, Levent Toker:
An Efficient Flow-based Multi-level Hybrid Intrusion Detection System for Software-Defined Networks. - Thomas George, César Laurent, Xavier Bouthillier, Nicolas Ballas, Pascal Vincent:
Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis. - Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim:
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios. - Rana Faisal Munir, Alberto Abelló, Oscar Romero, Maik Thiele, Wolfgang Lehner
A Cost-based Storage Format Selector for Materialization in Big Data Frameworks. - Haimin Zhang
Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization. - Mehdi Katranji, Sami Kraiem, Laurent Moalic, Guilhem Sanmarty, Alexandre Caminada, Fouad Hadj-Selem:
Multi-task learning of daily work and study round-trips from survey data. - Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Santiago Romaní, Domenec Puig:
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network. - Kousha Etessami, Emanuel Martinov, Alistair Stewart, Mihalis Yannakakis:
Reachability for Branching Concurrent Stochastic Games. - Murat Yasin Kubilay, Mehmet Sabir Kiraz, Haci Ali Mantar:
CertLedger: A New PKI Model with Certificate Transparency Based on Blockchain. - Bin Liu:
A Survey on Trust Modeling from a Bayesian Perspective. - Hao Dong, Shuai Li, Dongchang Xu, Yi Ren, Di Zhang:
Gear Training: A new way to implement high-performance model-parallel training. - Sateeshkrishna Dhuli, Yatindra Nath Singh:
Analysis of Average Consensus Algorithm for Asymmetric Regular Networks. - Ella M. Gale
When and where do feed-forward neural networks learn localist representations? - Maham Anwar Beg, Muhammad Ahmad, Arif Zaman, Imdadullah Khan:
Scalable Approximation Algorithm for Graph Summarization. - Yutaro Shigeto, Masashi Shimbo, Yuji Matsumoto:
A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs. - Damien Chablat
Self-Motion of the 3-PPPS Parallel Robot with Delta-Shaped Base. - Daniel Neider, Ivan Gavran:
Learning Linear Temporal Properties. - Aleksandr Chuklin, Aliaksei Severyn, Johanne R. Trippas
Prosody Modifications for Question-Answering in Voice-Only Settings. - Henrich Lauko, Petr Rockai, Jiri Barnat:
Symbolic Computation via Program Transformation. - Ruohan Zhang, Zhuode Liu, Luxin Zhang, Jake Alden Whritner, Karl S. Muller, Mary M. Hayhoe, Dana H. Ballard:
AGIL: Learning Attention from Human for Visuomotor Tasks. - Liangbo He, Hao Sun:
Attention Incorporate Network: A network can adapt various data size. - Bastiaan S. Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, Max Welling:
Rotation Equivariant CNNs for Digital Pathology. - Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho:
Neural Proximal Gradient Descent for Compressive Imaging. - Ruqi Huang, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov:
Latent Space Representation for Shape Analysis and Learning. - Raeid Saqur, Sal Vivona:
CapsGAN: Using Dynamic Routing for Generative Adversarial Networks. - Nandakishore Puttashamachar, Ulas Bagci:
End to End Brain Fiber Orientation Estimation using Deep Learning. - Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet:
Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streams. - Astha Sharma:
State Classification with CNN. - William Bakst, Linus Meyer-Teruel, Jasdeep Singh:
Rethinking Radiology: An Analysis of Different Approaches to BraTS. - YoungJu Jo, Hyungjoo Cho, Sangyun Lee, Gunho Choi, Geon Kim, Hyunseok Min, YongKeun Park:
Quantitative Phase Imaging and Artificial Intelligence: A Review. - Majeed Kassis, Jumana Nassour, Jihad El-Sana:
Writing Style Invariant Deep Learning Model for Historical Manuscripts Alignment. - Mathew J. Cherukara, Youssef S. G. Nashed, Ross J. Harder:
Real-time coherent diffraction inversion using deep generative networks. - Henrique Weber, Donald Prévost, Jean-François Lalonde:
Learning to Estimate Indoor Lighting from 3D Objects. - Lawrence C. Paulson:
Michael John Caldwell Gordon (FRS 1994), 28 February 1948 - 22 August 2017. - Nicolas Fiorini, Kathi Canese, Rostyslav Bryzgunov, Ievgeniia Radetska, Asta Gindulyte, Martin Latterner, Vadim Miller, Maxim Osipov, Michael Kholodov, Grisha Starchenko, Evgeny Kireev, Zhiyong Lu:
PubMed Labs: An experimental platform for improving biomedical literature search. - Daniel Oñoro-Rubio, Mathias Niepert:
Contextual Hourglass Networks for Segmentation and Density Estimation. - Max Frei
Fully automated primary particle size analysis of agglomerates on transmission electron microscopy images via artificial neural networks. - Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Hierarchy of GANs for learning embodied self-awareness model. - Ismaïla Seck, Khouloud Dahmane, Pierre Duthon, Gaëlle Loosli:
Baselines and a datasheet for the Cerema AWP dataset. - Aya Salama Abdelhady, Aboul Ella Hassanien, Aly A. Fahmy:
Sheep identity recognition, age and weight estimation datasets. - Johannes Haupt, Benedict Bender, Benjamin Fabian, Stefan Lessmann:
Robust identification of email tracking: A machine learning approach. - Ron Kupfer:
The Instability of Stable Matchings: The Influence of One Strategic Agent on The Matching Market. - Victor Mayoral Vilches, Laura Alzola Kirschgens, Asier Bilbao Calvo, Alejandro Hernández Cordero, Rodrigo Izquierdo Pisón, David Mayoral Vilches, Aday Muñiz Rosas, Gorka Olalde Mendia, Lander Usategui San Juan, Irati Zamalloa Ugarte, Endika Gil-Uriarte, Erik Tews, Andreas Peter:
Introducing the Robot Security Framework (RSF), a standardized methodology to perform security assessments in robotics. - Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel J. Mollura:
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation. - Henry Muccini, Patricia Lago, Karthik Vaidyanathan, Francesco Osborne, Eltjo R. Poort:
The History of Software Architecture - In the Eye of the Practitioner. - Jianbing Ni, Kuan Zhang, Qi Xia, Xiaodong Lin, Xuemin Shen:
Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing. - Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert:
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. - Tobias Baumann, Thore Graepel, John Shawe-Taylor:
Adaptive Mechanism Design: Learning to Promote Cooperation. - Shuohang Wang, Mo Yu, Shiyu Chang, Jing Jiang:
A Co-Matching Model for Multi-choice Reading Comprehension. - Rui Wang, Jun Zhang, Shenghui Song, Khaled Ben Letaief:
Exploiting Mobility in Cache-Assisted D2D Networks: Performance Analysis and Optimization. - Víctor Ponce-López
Semantically Selective Augmentation for Deep Compact Person Re-Identification. - Hao Zhou, Ming Chen, Qian Lin, Yong Wang, Xiaobin She, Sifan Liu, Rui Gu, Junfeng Yang:
Scalable Overload Control for Large-scale Microservice Architecture. - Ishay Haviv, Oded Regev, Amnon Ta-Shma:
On the Hardness of Satisfiability with Bounded Occurrences in the Polynomial-Time Hierarchy. - Ishay Haviv, Oded Regev:
Tensor-based Hardness of the Shortest Vector Problem to within Almost Polynomial Factors. - Abhik Jana, Pranjal Kanojiya, Pawan Goyal, Animesh Mukherjee:
WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages. - Khac-Hoang Ngo, Sheng Yang, Maxime Guillaud:
The Optimal DoF Region for the Two-User Non-Coherent SIMO Multiple-Access Channel. - John T. Hale, Chris Dyer, Adhiguna Kuncoro, Jonathan R. Brennan:
Finding Syntax in Human Encephalography with Beam Search. - Sirui Wang, Mei Wang:
Constructing Social Networks From Binary Data. - Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles:
Learning to Decompose and Disentangle Representations for Video Prediction. - Michael Hertneck, Johannes Köhler, Sebastian Trimpe, Frank Allgöwer:
Learning an Approximate Model Predictive Controller with Guarantees. - Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville, Yoshua Bengio:
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. - Ian J. Goodfellow:
Defense Against the Dark Arts: An overview of adversarial example security research and future research directions. - Neal Wadhwa, Rahul Garg, David E. Jacobs, Bryan E. Feldman, Nori Kanazawa, Robert Carroll, Yair Movshovitz-Attias, Jonathan T. Barron, Yael Pritch, Marc Levoy:
Synthetic Depth-of-Field with a Single-Camera Mobile Phone. - Surour Alaraifi
Regions of Attraction Approximation Using Individual Invariance. - Benjamin E. Nye, Junyi Jessy Li, Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, Byron C. Wallace:
A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature. - Minjia Zhang, Xiaodong Liu, Wenhan Wang, Jianfeng Gao, Yuxiong He:
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models. - Mattia Rebato, Jihong Park, Petar Popovski, Elisabeth de Carvalho, Michele Zorzi:
Stochastic Geometric Coverage Analysis in mmWave Cellular Networks with Realistic Channel and Antenna Radiation Models. - Yury Polyanskiy, Yihong Wu:
Application of information-percolation method to reconstruction problems on graphs. - Sanjana Sharma, Saksham Agrawal, Manish Shrivastava:
Degree based Classification of Harmful Speech using Twitter Data. - Chandra Chekuri, Shalmoli Gupta:
Perturbation Resilient Clustering for k-Center and Related Problems via LP Relaxations. - Mukund Sundararajan, Ankur Taly:
A Note about: Local Explanation Methods for Deep Neural Networks lack Sensitivity to Parameter Values. - Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
3D Convolutional Neural Networks for Classification of Functional Connectomes. - Lasya Venneti, Aniket Alam:
How Curiosity can be modeled for a Clickbait Detector. - Hang Ma, Glenn Wagner, Ariel Felner, Jiaoyang Li, T. K. Satish Kumar, Sven Koenig:
Multi-Agent Path Finding with Deadlines. - Balázs Keszegh, Dömötör Pálvölgyi:
Plane drawings of the generalized Delaunay-graphs for pseudo-disks. - Martin Rajchl, Nick Pawlowski, Daniel Rueckert, Paul M. Matthews, Ben Glocker:
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines. - Anirudha Majumdar, Maxwell Goldstein:
PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments. - Michael R. Anderson, Michael J. Cafarella, Germán Ros, Thomas F. Wenisch:
Physical Representation-based Predicate Optimization for a Visual Analytics Database. - Ulle Endriss:
Lecture Notes on Fair Division. - Barbara Gizycka, Grzegorz J. Nalepa, Pawel Jemiolo
"AIded with emotions" - a new design approach towards affective computer systems. - Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker:
The Potential of the Return Distribution for Exploration in RL. - Xingyuan Pan, Vivek Srikumar:
Learning to Speed Up Structured Output Prediction. - Luca Bernardinello, Irina A. Lomazova, Roman Nesterov, Lucia Pomello:
Compositional Discovery of Workflow Nets from Event Logs Using Morphisms. - Raghu Meka, Omer Reingold, Avishay Tal:
Pseudorandom Generators for Width-3 Branching Programs. - Korsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher:
Improving Whole Slide Segmentation Through Visual Context - A Systematic Study. - Andre Cianflone, Yulan Feng, Jad Kabbara, Jackie Chi Kit Cheung:
Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers. - Clemens Seibold, Wojciech Samek, Anna Hilsmann, Peter Eisert:
Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks. - Shudong Hao, Michael J. Paul:
Learning Multilingual Topics from Incomparable Corpus. - Jérémy Barbay, Andrés Olivares:
Indexed Dynamic Programming to boost Edit Distance and LCSS Computation. - Chris Donahue, Huanru Henry Mao, Julian J. McAuley:
The NES Music Database: A multi-instrumental dataset with expressive performance attributes. - Chenhui Chu, Mayu Otani
iParaphrasing: Extracting Visually Grounded Paraphrases via an Image. - Manuel Mager, Ximena Gutierrez-Vasques, Gerardo Sierra, Iván V. Meza-Ruíz:
Challenges of language technologies for the indigenous languages of the Americas. - Kun Wang, Zhi Ding:
Integrated Semi-definite Relaxation Receiver for LDPC-Coded MIMO Systems. - Auroshikha Mandal, Mehul Agarwal, Malay Bhattacharyya:
Collective Story Writing through Linking Images. - Kazuhiro Kurita, Kunihiro Wasa, Alessio Conte, Hiroki Arimura, Takeaki Uno:
Efficient Enumeration of Subgraphs and Induced Subgraphs with Bounded Girth. - Amirali Aghazadeh, Ryan Spring
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches. - Richard Olaniyan, Olamilekan Fadahunsi, Muthucumaru Maheswaran, Mohamed Faten Zhani:
Opportunistic Edge Computing: Concepts, Opportunities and Research Challenges. - Bhuwan Dhingra, Christopher J. Shallue, Mohammad Norouzi, Andrew M. Dai, George E. Dahl:
Embedding Text in Hyperbolic Spaces. - Yaming Wang, Xiao Tan, Yi Yang, Xiao Liu, Errui Ding, Feng Zhou, Larry S. Davis:
3D Pose Estimation for Fine-Grained Object Categories. - Lin Weng:
Codes and Stability. - Haichuan Yang, Yuhao Zhu, Ji Liu:
End-to-End Learning of Energy-Constrained Deep Neural Networks. - Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong:
Augmenting Stream Constraint Programming with Eventuality Conditions. - Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger B. Grosse:
Differentiable Compositional Kernel Learning for Gaussian Processes. - Stefano Mezza, Alessandra Cervone, Giuliano Tortoreto, Evgeny A. Stepanov, Giuseppe Riccardi:
ISO-Standard Domain-Independent Dialogue Act Tagging for Conversational Agents. - Ali Mashreghi, Valerie King:
Broadcast and minimum spanning tree with o(m) messages in the asynchronous CONGEST model. - Jun Xu, Wangpeng An, Lei Zhang, David Zhang:
Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification? - Wuwei Lan, Wei Xu:
Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering. - Xue Yang, Hao Sun, Kun Fu, Jirui Yang, Xian Sun, Menglong Yan, Zhi Guo:
Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networks. - Monimoy Bujarbaruah, Xiaojing Zhang, H. Eric Tseng, Francesco Borrelli:
Adaptive MPC for Autonomous Lane Keeping. - Tengyu Xu, Yi Zhou, Kaiyi Ji, Yingbin Liang:
Convergence of SGD in Learning ReLU Models with Separable Data. - Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
Exploiting Document Knowledge for Aspect-level Sentiment Classification. - Yingli Wang, Xiangyin Chen, Xiaoguang Yang, Qingpeng Zhang:
Sub-pattern analysis of Chinese guarantee network. - Dokyung Song, Julian Lettner, Prabhu Rajasekaran, Yeoul Na, Stijn Volckaert, Per Larsen, Michael Franz:
SoK: Sanitizing for Security. - Pinjia He, Jieming Zhu, Pengcheng Xu, Zibin Zheng, Michael R. Lyu:
A Directed Acyclic Graph Approach to Online Log Parsing. - Xing Niu, Sudha Rao, Marine Carpuat:
Multi-Task Neural Models for Translating Between Styles Within and Across Languages. - Vincent Chia, Pieter H. Hartel, Qingze Hum, Sebastian Ma, Georgios Piliouras, Daniël Reijsbergen, Mark van Staalduinen, Pawel Szalachowski:
Rethinking Blockchain Security: Position Paper. - Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang:
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning. - Adrien Boiret, Radoslaw Piórkowski, Janusz Schmude:
The "Hilbert Method" for Solving Transducer Equivalence Problems. - Esma Turgut, Mustafa Cenk Gursoy:
Downlink Analysis in Unmanned Aerial Vehicle (UAV) Assisted Cellular Networks with Clustered Users. - Lei Chen, Jin Li, Zhonghua Sun:
Reversible Codes and Its Application to Reversible DNA Codes over F4k. - Jeremy Barnes, Roman Klinger, Sabine Schulte im Walde:
Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment Analysis in Diverse Domains. - Thomas Kohler, Ruben Mayer, Frank Dürr, Marius Maaß, Sukanya Bhowmik, Kurt Rothermel:
P4CEP: Towards In-Network Complex Event Processing. - Onel L. Alcaraz López, Hirley Alves, Matti Latva-aho:
Rate Control under Finite Blocklength for Downlink Cellular Networks with Reliability Constraints. - Bhargav Chippada, Shubajit Saha:
Knowledge Amalgam: Generating Jokes and Quotes Together. - Xiaoteng Zhang, Yixin Bao, Feiyun Zhang, Kai Hu, Yicheng Wang, Liang Zhu, Qinzhu He, Yining Lin, Jie Shao, Yao Peng:
Qiniu Submission to ActivityNet Challenge 2018. - Ryan Cotterell, Julia Kreutzer:
Explaining and Generalizing Back-Translation through Wake-Sleep. - Vasyl Palchykov, Yurij Holovatch:
Bipartite graph analysis as an alternative to reveal clusterization in complex systems. - Anupam Saraph
Is India's Unique Identification Number a legally valid identification? - John Foley, Sheikh Muhammad Sarwar, James Allan:
Named Entity Recognition with Extremely Limited Data. - Adriano Pinto, Sérgio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes:
Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction. - Harshit Mehrotra, Saibal K. Pal:
Using Chaos in Grey Wolf Optimizer and Application to Prime Factorization. - Dawei Feng, Kele Xu, Haibo Mi, Feifan Liao, Yan Zhou:
Sample Dropout for Audio Scene Classification Using Multi-Scale Dense Connected Convolutional Neural Network. - Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Ranking Robustness Under Adversarial Document Manipulations. - Pulkit Kumar, Pravin Nagar, Chetan Arora, Anubha Gupta:
U-SegNet: Fully Convolutional Neural Network based Automated Brain tissue segmentation Tool. - Emilio Delgado López-Cózar, Enrique Orduña-Malea, Alberto Martín-Martín:
Google Scholar as a data source for research assessment. - Balaji Srinivasan Babu, M. Nikhil Krishnan, Myna Vajha, Vinayak Ramkumar, Birenjith Sasidharan, P. Vijay Kumar:
Erasure Coding for Distributed Storage: An Overview. - Haoyang Wen, Yijia Liu, Wanxiang Che, Libo Qin, Ting Liu:
Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation. - Madan Gopal Jhanwar, Arpita Das:
An Ensemble Model for Sentiment Analysis of Hindi-English Code-Mixed Data. - Merve Yüzgeçcioglu, Eduard A. Jorswieck:
Transceiver Design for GFDM with Index Modulation in Multi-user Networks. - Jing Ren
Continuous and Orientation-preserving Correspondences via Functional Maps. - Rajeev Gupta, Ranganath Kondapally, Chakrapani Ravi Kiran:
Impersonation: Modeling Persona in Smart Responses to Email. - Frank Gurski, Carolin Rehs:
Computing directed path-width and directed tree-width of recursively defined digraphs. - Shaohui Kuang, Deyi Xiong:
Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model. - Loïc Baron
Next generation portal for federated testbeds MySlice v2: from prototype to production. - Jie Yang, Shuailong Liang, Yue Zhang:
Design Challenges and Misconceptions in Neural Sequence Labeling. - Anthony M. Colwell, Frank G. Glavin:
Colwell's Castle Defence: A Custom Game Using Dynamic Difficulty Adjustment to Increase Player Enjoyment. - Balaji Srinivasan Babu, P. Vijay Kumar:
Erasure Codes for Distributed Storage: Tight Bounds and Matching Constructions. - Andrea D. Beck, David G. Flad, Claus-Dieter Munz:
Deep Neural Networks for Data-Driven Turbulence Models. - David L. Smyth, James Fennell, Sai Abinesh, Nazli B. Karimi, Frank G. Glavin, Ihsan Ullah, Brett Drury, Michael G. Madden:
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation. - Yang Li, Di Wang, Saugata Ghose, Jie Liu, Sriram Govindan, Sean James, Eric Peterson, John Siegler, Rachata Ausavarungnirun, Onur Mutlu:
Techniques for Efficiently Handling Power Surges in Fuel Cell Powered Data Centers: Modeling, Analysis, Results. - Ndapa Nakashole, Raphael Flauger:
Characterizing Departures from Linearity in Word Translation. - Abel L. Peirson V
Dank Learning: Generating Memes Using Deep Neural Networks. - Ethem F. Can, Aysu Ezen-Can, Fazli Can:
Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data. - Wenpeng Yin, Yadollah Yaghoobzadeh, Hinrich Schütze:
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs. - Edison Marrese-Taylor, Ai Nakajima, Yutaka Matsuo, Yuichi Ono:
Learning to Automatically Generate Fill-In-The-Blank Quizzes. - Anton Osika, Susanna Nilsson, Andrii Sydorchuk, Faruk Sahin, Anders Huss:
Second Language Acquisition Modeling: An Ensemble Approach. - Stepán Balcar, Martin Pilát:
Online Parallel Portfolio Selection with Heterogeneous Island Model. - Wenpeng Yin, Dan Roth:
Term Definitions Help Hypernymy Detection. - Jianming Lv, Xintong Wang:
Cross-dataset Person Re-Identification Using Similarity Preserved Generative Adversarial Networks. - Srishti Aggarwal, Kritik Mathur, Radhika Mamidi:
Automatic Target Recovery for Hindi-English Code Mixed Puns. - Gabriele D'Angelo, Stefano Ferretti, Moreno Marzolla:
A Blockchain-based Flight Data Recorder for Cloud Accountability. - Grant Haskins, Jochen Kruecker, Uwe Kruger, Sheng Xu, Peter A. Pinto, Bradford J. Wood, Pingkun Yan:
Learning Deep Similarity Metric for 3D MR-TRUS Registration. - Florian Schmidt, Thomas Hofmann:
Deep State Space Models for Unconditional Word Generation. - Sreecharan Sankaranarayanan, Raghuram Mandyam Annasamy, Katia P. Sycara, Carolyn Penstein Rosé
Combining Model-Free Q-Ensembles and Model-Based Approaches for Informed Exploration. - Tobias Roehm, Daniel Veihelmann, Stefan Wagner, Elmar Jürgens:
Evaluating Maintainability Prejudices with a Large-Scale Study of Open-Source Projects. - Ye Jia, Yu Zhang, Ron J. Weiss, Quan Wang, Jonathan Shen, Fei Ren, Zhifeng Chen, Patrick Nguyen, Ruoming Pang, Ignacio López-Moreno, Yonghui Wu:
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis. - Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi:
Multi-Agent Deep Reinforcement Learning with Human Strategies. - Michael Hellwig, Hans-Georg Beyer:
Benchmarking Evolutionary Algorithms For Real-valued Constrained Optimization - A Critical Review. - Jianning Li:
Detection of Premature Ventricular Contractions Using Densely Connected Deep Convolutional Neural Network with Spatial Pyramid Pooling Layer. - Carla Mouradian, Somayeh Kianpisheh, Roch H. Glitho:
Application Component Placement in NFV-based Hybrid Cloud/Fog Systems. - Narjes Tahghigh Jahromi, Somayeh Kianpisheh, Roch H. Glitho:
Online VNF Placement and Chaining for Value-added Services in Content Delivery Networks. - Almuthanna T. Nassar, Yasin Yilmaz:
Reinforcement-Learning-Based Resource Allocation in Fog Radio Access Networks for Various IoT Environments. - Haichao Wang, Jinlong Wang, Jin Chen, Yuping Gong, Guoru Ding:
Network-Connected UAV Communications: Potentials and Challenges. - Chujie Wang, Zhifeng Zhao, Qi Sun, Honggang Zhang:
Deep Learning-based Intelligent Dual Connectivity for Mobility Management in Dense Network. - Christos Liaskos, Ageliki Tsioliaridou, Andreas Pitsillides, Sotiris Ioannidis, Ian F. Akyildiz:
Using any Surface to Realize a New Paradigm for Wireless Communications. - Davide Pedretti, Marco Bellato, Roberto Isocrate, A. Bergnoli, R. Brugnera, D. Corti, F. Dal Corso, G. Galet, Alberto Garfagnini, Agnese Giaz, I. Lippi, F. Marini, Giuseppe Andronico, Vito Antonelli, M. Baldoncini, E. Bernieri, A. Brigatti, A. Budano, M. Buscemi, S. Bussino, R. Caruso, D. Chiesa, C. Clementi, X. F. Ding, S. Dusini, A. Fabbri, R. Ford, Andrey Formozov, M. Giammarchi, M. Grassi, A. Insolia, P. Lombardi, Fabio Mantovani, S. M. Mari, C. Martellini, Agnese Martini, E. Meroni, Lino Miramonti, Salvatore Monforte, P. Montini, Michele Montuschi, M. Nastasi, F. Ortica, A. Paoloni, E. Previtali, G. Ranucci, A. C. Re, B. Ricci, A. Romani, G. Salamanna, F. H. Sawy, G. Settanta, M. Sisti, C. Sirignano, L. Stanco, Virginia Strati, G. Verde:
Nanoseconds Timing System Based on IEEE 1588 FPGA Implementation. - Mehrdad Khaledi, Arnau Rovira-Sugranes, Fatemeh Afghah, Abolfazl Razi:
On Greedy Routing in Dynamic UAV Networks. - Jun Chen, Guang Yang, Zhifan Gao, Hao Ni, Elsa D. Angelini, Raad Mohiaddin, Tom Wong, Yanping Zhang, Xiuquan Du, Heye Zhang, Jennifer Keegan, David N. Firmin:
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation. - Fabio Giovanneschi, Kumar Vijay Mishra, María Antonia González-Huici, Yonina C. Eldar, Joachim H. G. Ender:
Dictionary Learning for Adaptive GPR Target Classification. - Antonio Blanca, Zongchen Chen, Eric Vigoda:
Swendsen-Wang Dynamics for General Graphs in the Tree Uniqueness Region. - Muhammad Syifa'ul Mufid, Dieky Adzkiya, Alessandro Abate:
Tropical Abstractions of Max-Plus-Linear Systems. - Xu Lan, Xiatian Zhu, Shaogang Gong:
Knowledge Distillation by On-the-Fly Native Ensemble. - Mejdi Ben Dkhil, Ali Wali, Adel M. Alimi:
A Hierarchical Fuzzy System for an Advanced Driving Assistance System. - Annie Louis, Santanu Kumar Dash, Earl T. Barr, Charles Sutton:
Deep Learning to Detect Redundant Method Comments. - Nicholas Heller, Joshua Dean, Nikolaos Papanikolopoulos:
Imperfect Segmentation Labels: How Much Do They Matter? - Vinicius Signori Furlan, Ruzena Bajcsy, Erickson R. Nascimento:
Fast forwarding Egocentric Videos by Listening and Watching. - Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White:
Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains. - Qifu Tyler Sun, Hanqi Tang, Zongpeng Li, Xiaolong Yang, Keping Long:
Circular-shift Linear Network Codes with Arbitrary Odd Block Lengths. - Abhishek Gupta, Benjamin Eysenbach, Chelsea Finn, Sergey Levine:
Unsupervised Meta-Learning for Reinforcement Learning. - Tobias Mistele, Tom Price, Sabine Hossenfelder:
Predicting Citation Counts with a Neural Network. - Ching-An Cheng, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Model-Based Imitation Learning with Accelerated Convergence. - Janusz A. Brzozowski, Sylvie Davies, Abhishek Madan:
State Complexity of Pattern Matching in Finite Automata. - George Gondim-Ribeiro, Pedro Tabacof, Eduardo Valle:
Adversarial Attacks on Variational Autoencoders. - Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra:
A Question-Answering framework for plots using Deep learning. - Radoslaw Michalski, Boleslaw K. Szymanski, Przemyslaw Kazienko, Christian Lebiere, Omar Lizardo, Marcin Kulisiewicz:
Social Networks through the Prism of Cognition. - Xiang Wang, Shaodi You, Xi Li, Huimin Ma:
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features. - Turab Iqbal, Yong Xu, Qiuqiang Kong, Wenwu Wang:
Capsule Routing for Sound Event Detection. - Mole Li, Alan Grigg, Charles E. Dickerson, Lin Guan, Siyuan Ji:
A Product Line Systems Engineering Process for Variability Identification and Reduction. - Daniel J. Katz:
Sequences with Low Correlation. - Aaron Stump:
Syntax and Semantics of Cedille. - Hanan Aldarmaki, Mona T. Diab:
Evaluation of Unsupervised Compositional Representations. - Ahmed Khalifa, Scott Lee, Andy Nealen, Julian Togelius:
Talakat: Bullet Hell Generation through Constrained Map-Elites. - Konstantinos Mastakas:
Drawing a Rooted Tree as a Rooted y-Monotone Minimum Spanning Tree. - Adnan Mahmood, Bernard Butler, Brendan Jennings:
Potential of Augmented Reality for Intelligent Transportation Systems. - Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant:
Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint. - Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein:
RepMet: Representative-based metric learning for classification and one-shot object detection. - Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein:
Delta-encoder: an effective sample synthesis method for few-shot object recognition. - Hussein Suleman:
Information Retrieval in African Languages. - Sergio Cabello, Kshitij Jain, Anna Lubiw, Debajyoti Mondal:
Minimum Shared-Power Edge Cut. - Spencer Breiner, Amir Kalev, Carl A. Miller:
Parallel Self-Testing of the GHZ State with a Proof by Diagrams. 43-66 - Yun Kuen Cheung, Richard Cole, Yixin Tao:
Dynamics of Distributed Updating in Fisher Markets. - Parisa Hassanzadeh, Antonia M. Tulino, Jaime Llorca, Elza Erkip:
On Coding for Cache-Aided Delivery of Dynamic Correlated Content. - Ciprian-Octavian Truica, Florin Radulescu, Alexandru Boicea, Ion Bucur:
Performance evaluation for CRUD operations in asynchronously replicated document oriented database. - Adon Phillips, Iris Teo, Jochen Lang:
Fully Convolutional Network for Melanoma Diagnostics. - Nevan Wichers, Ruben Villegas, Dumitru Erhan, Honglak Lee:
Hierarchical Long-term Video Prediction without Supervision. - Michael Giardino, Wayne Maxwell, Bonnie H. Ferri, Aldo A. Ferri:
Speculative Thread Framework for Transient Management and Bumpless Transfer in Reconfigurable Digital Filters. - William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas:
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. - Yutaka Nagashima, Julian Parsert:
Goal-Oriented Conjecturing for Isabelle/HOL. - Elmar H. Langholz, Reuben Brasher:
Real-time on-device nod and shake recognition. - Nicholas Heller, Derek Anderson, Matt Baker, Brad Juffer, Nikolaos Papanikolopoulos:
Convolutional Neural Networks for Aircraft Noise Monitoring. - Naama Ben-David, Guy E. Blelloch, Yuanhao Wei:
Making Concurrent Algorithms Detectable. - Neeraj Varshney, Werner Haselmayr, Weisi Guo:
On Flow-Induced Diffusive Mobile Molecular Communication: First Hitting Time and Performance Analysis. - David Hallac, Suvrat Bhooshan, Michael H. Chen, Kacem Abida, Rok Sosic, Jure Leskovec:
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data. - Peng Hu:
A Holistic Framework for Open Low-Power Internet of Things Technology Ecosystems. - Kunkun Pang, Mingzhi Dong, Yang Wu, Timothy M. Hospedales:
Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning. - Chengzhou Tang, Ping Tan:
BA-Net: Dense Bundle Adjustment Network. - Guansong Pang, Longbing Cao, Ling Chen, Huan Liu:
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. - Hamed Zamani, W. Bruce Croft:
Towards Theoretical Understanding of Weak Supervision for Information Retrieval. - Zexian Zeng, Ankita Roy, Xiaoyu Li, Sasa Espino, Susan E. Clare, Seema A. Khan, Yuan Luo:
Using Clinical Narratives and Structured Data to Identify Distant Recurrences in Breast Cancer. - Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann, Yuan Luo:
Natural Language Processing for EHR-Based Computational Phenotyping. - Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu, Houfeng Wang:
SGM: Sequence Generation Model for Multi-label Classification. - Xue Yang, Hao Sun, Xian Sun, Menglong Yan, Zhi Guo, Kun Fu:
Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multiscale Rotation Region Convolutional Neural Network. - Fei He, Qianshan Yu, Liming Cai:
When Regression Verification Meets CEGAR. - Benjamin Rossman:
Subspace-Invariant AC0 Formulas. - Minjia Shi, Daitao Huang, Denis S. Krotov:
Additive perfect codes in Doob graphs. - Noam Buckman, Han-Lim Choi, Jonathan P. How:
Partial Replanning for Decentralized Dynamic Task Allocation. - Hao Tang, Wei-Ning Hsu, François Grondin, James R. Glass:
A Study of Enhancement, Augmentation, and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition. - Zunlei Feng, Zhenyun Yu, Yezhou Yang, Yongcheng Jing, Junxiao Jiang, Mingli Song:
Interpretable Partitioned Embedding for Customized Fashion Outfit Composition. - (Withdrawn) Android Malware Detection using Large-scale Network Representation Learning.
- Binghui Wang, Le Zhang, Neil Zhenqiang Gong:
SybilBlind: Detecting Fake Users in Online Social Networks without Manual Labels. - Kaitao Song, Xu Tan, Di He, Jianfeng Lu, Tao Qin, Tie-Yan Liu:
Double Path Networks for Sequence to Sequence Learning. - Max Danielsson, Håkan Grahn, Thomas Sievert, Jim Rasmusson:
Comparing Two Generations of Embedded GPUs Running a Feature Detection Algorithm. - Zhou Su, Chen Zhu, Yinpeng Dong, Dongqi Cai, Yurong Chen, Jianguo Li:
Learning Visual Knowledge Memory Networks for Visual Question Answering. - Wei-Ning Hsu, Hao Tang, James R. Glass:
Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition. - Julien Bernard, Pierre-Cyrille Héam, Olga Kouchnarenko:
An Approximation-based Approach for the Random Exploration of Large Models. - Peter Braun, Jan Philipps, Bernhard Schätz, Stefan Wagner:
Model-Based Safety-Cases for Software-Intensive Systems. - Akihiro Nishi, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
O(n log n)-time text compression by LZ-style longest first substitution. - Mahdi Momeni Kelageri, Mikko Heikkilä, Minna Poikelispaa, Reza Ghabcheloo, Matti Linjama, Jyrki Vuorinen:
Design, Fabrication and Control of an Hydraulic Elastomer Actuator. - Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Adversarial Learning with Local Coordinate Coding. - Yijun Bian, Yijun Wang, Yaqiang Yao, Huanhuan Chen:
Ensemble Pruning based on Objection Maximization with a General Distributed Framework. - Anna Aljanaki, Mohammad Soleymani:
A data-driven approach to mid-level perceptual musical feature modeling. - Merve Yüzgeçcioglu, Alessio Zappone, Eduard A. Jorswieck:
Energy Efficiency in Hybrid Beamforming Large-scale mmWave Multiuser MIMO with Spatial Modulation. - Mahdi Momeni Kelageri, Mikko Heikkilä, Jarno Jokinen, Matti Linjama, Reza Ghabcheloo:
Kinematics and Dynamic Modeling of a Planar Hydraulic Elastomer Actuator. - Dimiter Dobrev
The IQ of Artificial Intelligence. - Asad Ullah Awan, Majid Zamani:
Compositional abstractions of networks of stochastic hybrid systems under randomly switched topologies. - Zhiqiang Wei, Lou Zhao, Jiajia Guo, Derrick Wing Kwan Ng, Jinhong Yuan:
Multi-Beam NOMA for Hybrid mmWave Systems. - Ana Serrano, Vincent Sitzmann, Jaime Ruiz-Borau, Gordon Wetzstein, Diego Gutierrez, Belén Masiá:
Movie Editing and Cognitive Event Segmentation in Virtual Reality Video. - Kai Mindermann, Philipp Keck, Stefan Wagner:
How Usable are Rust Cryptography APIs? - Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schönhuth, Sander M. Bohté:
An image representation based convolutional network for DNA classification. - Alejandro Morán, Christiam F. Frasser, Josep L. Rosselló:
Reservoir Computing Hardware with Cellular Automata. - Ana Serrano, Elena Garces, Diego Gutierrez, Belén Masiá:
Convolutional sparse coding for capturing high speed video content. - Stanislau Semeniuta, Aliaksei Severyn, Sylvain Gelly:
On Accurate Evaluation of GANs for Language Generation. - Luca Franceschi, Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo, Paolo Frasconi:
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning. - Ana Serrano, Felix Heide, Diego Gutierrez, Gordon Wetzstein, Belén Masiá:
Convolutional Sparse Coding for High Dynamic Range Imaging. - Ana Serrano, Diego Gutierrez, Karol Myszkowski, Hans-Peter Seidel, Belén Masiá:
An intuitive control space for material appearance. - Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
A City-Scale ITS-G5 Network for Next-Generation Intelligent Transportation Systems: Design Insights and Challenges. - Markus Schröder, Christian Jilek, Jörn Hees, Andreas Dengel:
Towards Semantically Enhanced Data Understanding. - Mirek Janatka, Ashwin Sridhar, John D. Kelly, Danail Stoyanov:
Higher Order of Motion Magnification for Vessel Localisation in Surgical Video. - Shreyank Jyoti, Abhinav Dhall:
Expression Empowered ResiDen Network for Facial Action Unit Detection. - Hoda Heidari, Claudio Ferrari, Krishna P. Gummadi, Andreas Krause:
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making. - Chengliang Chai, Ju Fan, Guoliang Li, Jiannan Wang, Yudian Zheng:
Crowd-Powered Data Mining. - Xiaoran Chen, Ender Konukoglu:
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders. - Michael J. Bommarito II, Daniel Martin Katz, Eric M. Detterman:
OpenEDGAR: Open Source Software for SEC EDGAR Analysis. - Lukas Fleischer:
The Intersection Problem for Finite Semigroups. - John Foley:
Explainable Agreement through Simulation for Tasks with Subjective Labels. - L. Srikar Muppirisetty, John Tadrous, Atilla Eryilmaz, Henk Wymeersch:
Proactive Resource Allocation with Predictable Channel Statistics. - Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer
Tree Edit Distance Learning via Adaptive Symbol Embeddings. - Andrei B. Bogatyrev:
Recent Progress in Optimization of Multiband Electrical Filters. - Simon Jenni, Paolo Favaro:
Self-Supervised Feature Learning by Learning to Spot Artifacts. - Florian Kauer, Volker Turau:
An Analytical Model for Wireless Mesh Networks with Collision-Free TDMA and Finite Queues. - Alberto Martín-Martín
Unbundling Open Access dimensions: a conceptual discussion to reduce terminology inconsistencies. - Herman Kamper, Michael Roth:
Visually grounded cross-lingual keyword spotting in speech. - Filipe Veiga, Benoni B. Edin, Jan Peters:
In-Hand Object Stabilization by Independent Finger Control. - Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger:
A Probabilistic U-Net for Segmentation of Ambiguous Images. - Jonas Schöpf
TTT2 with Termination Templates for Teaching. - Paul Swoboda, Vladimir Kolmogorov:
MAP inference via Block-Coordinate Frank-Wolfe Algorithm. - Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar:
Unobservable False Data Injection Attacks against PMUs: Feasible Conditions and Multiplicative Attacks. - Heather D. Couture, J. S. Marron, Charles M. Perou, Melissa A. Troester, Marc Niethammer:
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology. - Jan Eric Lenssen, Matthias Fey, Pascal Libuschewski:
Group Equivariant Capsule Networks. - Norbert Kapinski, Jakub Zielinski, Bartosz A. Borucki, Tomasz Trzcinski, Beata Ciszkowska-Lyson, Krzysztof S. Nowinski:
Estimating Achilles tendon healing progress with convolutional neural networks. - Purushottam D. Dixit:
Path-entropy maximized Markov chains for dimensionality reduction. - Zhengzhong Liu, Teruko Mitamura, Eduard H. Hovy:
Graph-Based Decoding for Event Sequencing and Coreference Resolution. - Hannah Spitzer, Kai Kiwitz, Katrin Amunts, Stefan Harmeling, Timo Dickscheid:
Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks. - Alexander I. Barvinok:
Stability and complexity of mixed discriminants. - Frank G. Glavin, Michael G. Madden:
DRE-Bot: A Hierarchical First Person Shooter Bot Using Multiple Sarsa(λ) Reinforcement Learners. - Theophanes E. Raptis:
Holographic Automata for Ambient Immersive A. I. via Reservoir Computing. - Yauhen Yakimenka, Eirik Rosnes:
Failure Analysis of the Interval-Passing Algorithm for Compressed Sensing. - Junpei Komiyama, Hajime Shimao:
Comparing Fairness Criteria Based on Social Outcome. - Frank G. Glavin, Michael G. Madden:
Learning to Shoot in First Person Shooter Games by Stabilizing Actions and Clustering Rewards for Reinforcement Learning. - Jean Barbier, Chun Lam Chan, Nicolas Macris:
Adaptive Path Interpolation for Sparse Systems: Application to a Simple Censored Block Model. - Sebastian Arming, Ezio Bartocci, Krishnendu Chatterjee, Joost-Pieter Katoen, Ana Sokolova:
Parameter-Independent Strategies for pMDPs via POMDPs. - Xueqing Deng, Yi Zhu, Shawn D. Newsam:
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks. - Andrew Wood, Paige Rodeghero, Ameer Armaly, Collin McMillan:
Detecting Speech Act Types in Developer Question/Answer Conversations During Bug Repair. - Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu:
Marginal Policy Gradients for Complex Control. - Andrea Borghesi, Andrea Bartolini, Michela Milano, Luca Benini:
Pricing Schemes for Energy-Efficient HPC Systems: Design and Exploration. - Harshil Shah, David Barber:
Generative Neural Machine Translation. - Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Ayan Biswas, Kaushik Roy, Shreyas Sen:
Exploiting Inherent Error-Resiliency of Neuromorphic Computing to achieve Extreme Energy-Efficiency through Mixed-Signal Neurons. - Danny Hermes:
A Curious Case of Curbed Condition. - Frederik Pahde, Patrick Jähnichen, Tassilo Klein, Moin Nabi:
Cross-modal Hallucination for Few-shot Fine-grained Recognition. - Tang Liu, Daniela Tuninetti
An Information Theoretic Converse for the "Consecutive Complete-S" PICOD Problem. - Zhehui Chen, Xingguo Li, Lin F. Yang, Jarvis D. Haupt, Tuo Zhao:
On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization. - Aws Abdulsalam Najm, Ibraheem Kasim Ibraheem:
On The Design of Nonlinear PID Controller for Nonlinear Quadrotor System. - Evangelos B. Mazomenos, Kamakshi Bansal, Bruce Martin, Andrew Smith, Susan Wright, Danail Stoyanov:
Automated Performance Assessment in Transoesophageal Echocardiography with Convolutional Neural Networks. - Alexandra Q. Nilles, Dylan A. Shell, Jason M. O'Kane:
Robot Design: Formalisms, Representations, and the Role of the Designer. - Xingguo Li, Junwei Lu, Zhaoran Wang, Jarvis D. Haupt, Tuo Zhao:
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond. - Omid Esrafilian, Rajeev Gangula, David Gesbert:
Learning to Communicate in UAV-aided Wireless Networks: Map-based Approaches. - Yexun Zhang, Ya Zhang, Wenbin Cai:
A Unified Framework for Generalizable Style Transfer: Style and Content Separation. - Nathalie Cauchi, Khaza Anuarul Hoque, Mariëlle Stoelinga, Alessandro Abate:
Maintenance of Smart Buildings using Fault Trees. - Harshil Shah, Bowen Zheng, David Barber:
Generating Sentences Using a Dynamic Canvas. - Khaled N. Khasawneh, Esmaeil Mohammadian Koruyeh, Chengyu Song, Dmitry Evtyushkin, Dmitry Ponomarev, Nael B. Abu-Ghazaleh:
SafeSpec: Banishing the Spectre of a Meltdown with Leakage-Free Speculation. - Andreas Hanselowski, Avinesh P. V. S., Benjamin Schiller, Felix Caspelherr, Debanjan Chaudhuri, Christian M. Meyer, Iryna Gurevych:
A Retrospective Analysis of the Fake News Challenge Stance Detection Task. - Alexander V. Buslaev, Selim S. Seferbekov, Vladimir I. Iglovikov, Alexey A. Shvets:
Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery. - Alexandre Fioravante de Siqueira, Wagner Massayuki Nakasuga, Sandro Guedes:
Automatic counting of fission tracks in apatite and muscovite using image processing. - Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks:
Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining. - Gongbo Tang, Fabienne Cap, Eva Pettersson, Joakim Nivre:
An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization. - Vadim Lebedev, Artem Babenko, Victor S. Lempitsky:
Impostor Networks for Fast Fine-Grained Recognition. - Andrew Moore, Paul Rayson:
Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis. - Ian Abraham, Todd D. Murphey:
Decentralized Ergodic Control: Distribution-Driven Sensing and Exploration for Multi-Agent Systems. - Artur Jordão, Antonio C. Nazare Jr., Jessica Sena, William Robson Schwartz:
Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art. - Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Shape correspondences from learnt template-based parametrization. - Zhihao Xia, Ayan Chakrabarti:
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising. - Peng Fu, Peter Selinger:
Dependently Typed Folds for Nested Data Types. - David B. Skillicorn, Nasser Alsadhan:
Beyond Bags of Words: Inferring Systemic Nets. - Soheil Esmaeilzadeh, Yao Yang, Ehsan Adeli:
End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN. - Daniele Funaro:
Understanding the Meaning of Understanding. - Siti Asmah Bero, Azah Kamilah Muda, Yun-Huoy Choo, Noor Azilah Muda, Satrya Fajri Pratama:
Weighted Tanimoto Coefficient for 3D Molecule Structure Similarity Measurement. - Chenzhe Diao, Bin Han:
Quasi-tight Framelets with Directionality or High Vanishing Moments Derived from Arbitrary Refinable Functions. - Mahdi H. Miraz, Maaruf Ali:
Blockchain Enabled Enhanced IoT Ecosystem Security. - Jared Sylvester, Edward Raff:
What About Applied Fairness? - Amir Sadovnik, Wassim Gharbi, Thanh Vu, Andrew C. Gallagher:
Finding your Lookalike: Measuring Face Similarity Rather than Face Identity. - Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian:
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions. - Ameni Kacem, Philipp Mayr:
Analysis of Search Stratagem Utilisation. - Abdallah Khreishah, Sihua Shao, Ammar Gharaibeh, Moussa Ayyash, Hany Elgala, Nirwan Ansari:
A Hybrid RF-VLC System for Energy Efficient Wireless Access. - Shreyansh Daftry, Yashasvi Agrawal, Larry H. Matthies:
Online Self-supervised Scene Segmentation for Micro Aerial Vehicles. - Vlad Eidelman, Anastassia Kornilova, Daniel Argyle:
How Predictable is Your State? Leveraging Lexical and Contextual Information for Predicting Legislative Floor Action at the State Level. - Gilles Puy, Patrick Pérez:
A Flexible Convolutional Solver with Application to Photorealistic Style Transfer. - Aleksandr I. Panov, Aleksey Skrynnik:
Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering. - Juan Carlos Cuevas-Tello:
Apuntes de Redes Neuronales Artificiales. - Takayuki Yamada:
Shape Features Extraction Using a Partial Differential Equation. - Doug Woos, Zachary Tatlock, Michael D. Ernst, Thomas E. Anderson:
A Graphical Interactive Debugger for Distributed Systems. - Anastasios K. Papazafeiropoulos, Tharmalingam Ratnarajah:
Rate-Splitting Robustness in Multi-Pair Massive MIMO Relay Systems. - Huiyuan Zhuo, Xuelin Qian, Yanwei Fu, Heng Yang, Xiangyang Xue:
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners. - Hui-Ming Wang, Ke-Wen Huang, Theodoros A. Tsiftsis:
Base Station Cooperation in Millimeter Wave Cellular Networks: Performance Enhancement of Cell-Edge Users. - Ke-Wen Huang, Hui-Ming Wang:
Identifying the Fake Base Station: A Location Based Approach. - Michael McCarrin, Janina Green, Ralucca Gera:
Creating and understanding email communication networks to aid digital forensic investigations. - Yuhei Otsubo, Akira Otsuka, Mamoru Mimura, Takeshi Sakaki, Atsuhiro Goto:
o-glasses: Visualizing x86 Code from Binary Using a 1d-CNN. - Fatemeh Tehranipoor:
Towards Implementation of Robust and Low-Cost Security Primitives for Resource-Constrained IoT Devices. - Chandan Singh
Hierarchical interpretations for neural network predictions. - Qingqiu Huang, Yuanjun Xiong, Yu Xiong, Yuqi Zhang, Dahua Lin:
From Trailers to Storylines: An Efficient Way to Learn from Movies. - Kun Zhao, Arnold Wiliem, Shaokang Chen, Brian C. Lovell:
Convex Class Model on Symmetric Positive Definite Manifolds. - Yael Yankelevsky, Michael Elad:
Finding GEMS: Multi-Scale Dictionaries for High-Dimensional Graph Signals. - Ian Fox, Lynn Ang, Mamta Jaiswal, Rodica Pop-Busui, Jenna Wiens:
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories. - Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett:
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning. - Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz:
A Game Theoretic Approach to Learning and Dynamics in Information Retrieval. - Yu-Xiao Guo, Xin Tong:
View-volume Network for Semantic Scene Completion from a Single Depth Image. - Hengfui Liau, Yamini Nimmagadda, YengLiong Wong:
Fire SSD: Wide Fire Modules based Single Shot Detector on Edge Device. - Ming Sun, Yuchen Yuan, Feng Zhou, Errui Ding:
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition. - Xuaner Cecilia Zhang, Ren Ng, Qifeng Chen:
Single Image Reflection Separation with Perceptual Losses. - Ming-Chun Lee, Mingyue Ji, Andreas F. Molisch, Nishanth Sastry:
Performance of Caching-Based D2D Video Distribution with Measured Popularity Distributions. - Tobias Ritschel, Sebastian Friston, Anthony Steed:
Perceptual Rasterization for Head-mounted Display Image Synthesis. - Martin S. Krejca, Carsten Witt:
Theory of Estimation-of-Distribution Algorithms. - Shay Moran, Ido Nachum, Itai Panasoff, Amir Yehudayoff:
On the Perceptron's Compression. - Kefan Chen, Fengyuan Ren:
Micro Congestion Control: Every Flow Deserves a Second Chance. - Alberto Maria Metelli, Mirco Mutti, Marcello Restelli:
Configurable Markov Decision Processes. - Lynsay A. Shepherd
How to design browser security and privacy alerts. - Gérard D. Cohen, Ludo Tolhuizen:
Maximum weight spectrum codes with reduced length. - Ngoc Hong Tran, Cao-Vien Phung, Binh Quoc Nguyen, Leila Bahri:
An Effective Privacy-Preserving Data Coding in Peer-To-Peer Network. - Haris Bin Zia, Agha Ali Raza, Awais Athar:
Urdu Word Segmentation using Conditional Random Fields (CRFs). - Minghui Qiu, Liu Yang, Feng Ji, Weipeng Zhao, Wei Zhou, Jun Huang, Haiqing Chen, W. Bruce Croft, Wei Lin:
Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce. - Yilong Yang, Peng Liu, Lianchao Ding, Bingqing Shen, Weiru Wang:
ServeNet: A Deep Neural Network for Web Service Classification. - Athira Subhash, Muralikrishnan Srinivasan, Sheetal Kalyani:
Asymptotic maximal order statistic for SIR in κ-μ shadowed fading. - Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová:
The committee machine: Computational to statistical gaps in learning a two-layers neural network. - Xiaoran Chen, Nick Pawlowski, Martin Rajchl, Ben Glocker, Ender Konukoglu:
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging. - Mukul Bhutani, Pratik Jawanpuria, Hiroyuki Kasai, Bamdev Mishra:
Low-rank geometric mean metric learning. - Frank G. Glavin, Michael G. Madden:
Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data. - Yanyan Zou, Wei Lu:
Learning Cross-lingual Distributed Logical Representations for Semantic Parsing. - Lijun Zhu, Zhiyong Chen, David J. Hill, Shengli Du:
An Input-Delay Event-Triggered Control Design for Nonlinear Systems. - Lijun Zhu, Zhiyong Chen, Xi Chen, David J. Hill:
Stabilization with a Specified External Gain for Linear MIMO Systems and Its Applications to Control of Networked Systems. - Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes:
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network. - Jacson Rodrigues Correia da Silva, Rodrigo Ferreira Berriel, Claudine Badue, Alberto Ferreira de Souza, Thiago Oliveira-Santos:
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data. - Somdip Dey:
Securing Majority-Attack In Blockchain Using Machine Learning And Algorithmic Game Theory: A Proof of Work. - Ciprian-Octavian Truica, Julien Velcin, Alexandru Boicea:
Automatic Language Identification for Romance Languages using Stop Words and Diacritics. - Sebastian Nugroho, Ahmad F. Taha, Tyler H. Summers, Nikolaos Gatsis:
Simultaneous Sensor and Actuator Selection/Placement through Output Feedback Control. - Dominik Machácek, Jonás Vidra, Ondrej Bojar:
Morphological and Language-Agnostic Word Segmentation for NMT. - Lina Maria Rojas-Barahona, Stefan Ultes, Pawel Budzianowski, Iñigo Casanueva, Milica Gasic, Bo-Hsiang Tseng, Steve J. Young:
Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems. - Reinald Kim Amplayo, Seung-won Hwang:
Aspect Sentiment Model for Micro Reviews. - Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang:
Entity Commonsense Representation for Neural Abstractive Summarization. - Mantang Guo, Hao Zhu, Guoqing Zhou, Qing Wang:
Dense Light Field Reconstruction From Sparse Sampling Using Residual Network. - Reinald Kim Amplayo, Jihyeok Kim, Sua Sung, Seung-won Hwang:
Cold-Start Aware User and Product Attention for Sentiment Classification. - Francesco Lattari, Marco Ciccone, Matteo Matteucci, Jonathan Masci, Francesco Visin:
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation. - Alexander Wong:
NetScore: Towards Universal Metrics for Large-scale Performance Analysis of Deep Neural Networks for Practical Usage. - Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava:
Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System. - Reinald Kim Amplayo, Kyungjae Lee, Jinyeong Yeo, Seung-won Hwang:
Translations as Additional Contexts for Sentence Classification. - Chengsheng Mao, Yuan Zhao, Mengxin Sun, Yuan Luo:
Are My EHRs Private Enough? -Event-level Privacy Protection. - Jisun An, Haewoon Kwak, Yong-Yeol Ahn:
SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment. - Minh D. Nguyen, Won-Yong Shin:
Improved Density-Based Spatio-Textual Clustering on Social Media. - Shuiyin Liu, Yi Hong, Emanuele Viterbo, Alessia Marelli, Rino Micheloni:
Fast Decoding of Low Density Lattice Codes. - Mohsen Ghafoorian, Cedric Nugteren, Nóra Baka, Olaf Booij, Michael Hofmann:
EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection. - Meera Sitharam, Jeremy Youngquist, Maxwell Nolan, Jörg Peters:
Corner-Sharing Tetrahedra for Modeling Micro-Structure. - Yuqi Han, Jinghong Nan, Zengshuo Zhang, Jingjing Wang, Baojun Zhao:
Correlation Tracking via Robust Region Proposals. - Sadaf Salehkalaibar, Michèle A. Wigger:
Distributed Hypothesis Testing based on Unequal-Error Protection Codes. - Jan E. Snellman, Gerardo Iñiguez, János Kertész, Rafael A. Barrio, Kimmo Kaski:
Status maximization as a source of fairness in a networked dictator game. - Thomas Brihaye, Véronique Bruyère, Aline Goeminne, Jean-François Raskin:
Constrained existence problem for weak subgame perfect equilibria with omega-regular Boolean objectives. - Frank G. Glavin, Michael G. Madden:
Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning. - Francis Grégoire, Philippe Langlais:
Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation. - Wufeng Xue, Gary Brahm, Stephanie Leung, Olga Shmuilovich, Shuo Li:
Cardiac Motion Scoring with Segment- and Subject-level Non-Local Modeling. - Shumao Pang, Stephanie Leung, Ilanit Ben Nachum, Qianjin Feng, Shuo Li:
Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network. - Armine Vardazaryan, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos. - Georg Ostrovski, Will Dabney, Rémi Munos:
Autoregressive Quantile Networks for Generative Modeling. - Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein:
Tract orientation mapping for bundle-specific tractography. - Yang Zhang, Zehui Xiong, Dusit Niyato, Ping Wang, Zhu Han:
Market-Oriented Information Trading in Internet of Things (IoT) for Smart Cities. - Eric Graves, Tan F. Wong:
Inducing information stability and applications thereof to obtaining information theoretic necessary conditions directly from operational requirements. - Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson:
Improving Consistency-Based Semi-Supervised Learning with Weight Averaging. - Mutaz Y. Melhem, Laszlo B. Kish:
A Static-Loop-Current Attack against the KLJN Secure Key Exchange System. - Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh:
A Survey on Open Information Extraction. - Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava:
Gender Prediction in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System. - Hua Sun:
Anonymous Information Delivery. - Zengyou He, Hao Liang, Zheng Chen, Can Zhao:
Detecting Statistically Significant Communities. - Hamed Shah-Hosseini:
From Self-ception to Image Self-ception: A method to represent an image with its own approximations. - Matteo Papini, Damiano Binaghi, Giuseppe Canonaco, Matteo Pirotta, Marcello Restelli:
Stochastic Variance-Reduced Policy Gradient. - Berta Bescós, José M. Fácil, Javier Civera, José Neira:
DynSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes. - Joon Son Chung, Arsha Nagrani, Andrew Zisserman:
VoxCeleb2: Deep Speaker Recognition. - Jie Yang, Yue Zhang:
NCRF++: An Open-source Neural Sequence Labeling Toolkit. - Sammie Katt, Frans A. Oliehoek, Christopher Amato:
Learning in POMDPs with Monte Carlo Tree Search. - Junhyuk Oh, Yijie Guo, Satinder Singh, Honglak Lee:
Self-Imitation Learning. - Zakariya Ghalmane, Mohammed El Hassouni, Hocine Cherifi:
Immunization of networks with non-overlapping community structure. - Hoa Trong Vu, Claudio Greco, Aliia Erofeeva, Somayeh Jafaritazehjan, Guido Linders, Marc Tanti, Alberto Testoni, Raffaella Bernardi, Albert Gatt
Grounded Textual Entailment. - Amirhossein Dadashzadeh, Alireza Tavakoli Targhi, Maryam Tahmasbi:
HGR-Net: A Two-stage Convolutional Neural Network for Hand Gesture Segmentation and Recognition. - Thorsten Wißmann, Ulrich Dorsch, Stefan Milius, Lutz Schröder:
Efficient and Modular Coalgebraic Partition Refinement. - Kexin Liao, Logan Lebanoff, Fei Liu:
Abstract Meaning Representation for Multi-Document Summarization. - Jeffrey Bosboom, Spencer Congero, Erik D. Demaine, Martin L. Demaine, Jayson Lynch:
Losing at Checkers is Hard. - Kaiqiang Song, Lin Zhao, Fei Liu:
Structure-Infused Copy Mechanisms for Abstractive Summarization. - Ángel Alexander Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau:
Interactive Classification for Deep Learning Interpretation. - Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun:
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations. - Anurag Ranjan, Javier Romero, Michael J. Black:
Learning Human Optical Flow. - Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Zhongxiang Zhao:
Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning. - Dennis G. Wilson, Sylvain Cussat-Blanc, Hervé Luga, Julian F. Miller:
Evolving simple programs for playing Atari games. - Bernhard Haeupler, D. Ellis Hershkowitz, Anson Kahng, Ariel D. Procaccia:
A Computational Approach to Organizational Structure. - Cory B. Scott, Eric Mjolsness:
Multilevel Artificial Neural Network Training for Spatially Correlated Learning. - Amadou Moctar Kane:
An eco-friendly Ecash with recycled banknotes. - Hiroshi Watanabe, Koh M. Nakagawa:
SIMD Vectorization for the Lennard-Jones Potential with AVX2 and AVX-512 instructions. - Maiara Francine Bollauf, Ram Zamir, Sueli Irene Rodrigues Costa:
Multilevel constructions: coding, packing and geometric uniformity. - Samet Oymak, Necmiye Ozay:
Non-asymptotic Identification of LTI Systems from a Single Trajectory. - Xia Zhong, Mario Amrehn, Nishant Ravikumar, Shuqing Chen, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier:
Action Learning for 3D Point Cloud Based Organ Segmentation. - Mohammad Aliannejadi, Fabio Crestani:
Personalized Context-Aware Point of Interest Recommendation. - Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan, Peter M. Small, H. Andrew Schwartz:
Using Search Queries to Understand Health Information Needs in Africa. - Dogucan Yaman, Fevziye Irem Eyiokur, Nurdan Sezgin, Hazim Kemal Ekenel:
Age and Gender Classification From Ear Images. - Lillian J. Ratliff, Tanner Fiez:
Adaptive Incentive Design. - Avinash Malik, Partha S. Roop:
Quantized State Hybrid Automata for Cyber-Physical Systems. - Alice Lucas, Santiago Lopez Tapia, Rafael Molina, Aggelos K. Katsaggelos:
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. - Moreno Ambrosin, Mauro Conti, Riccardo Lazzeretti, Md Masoom Rabbani, Silvio Ranise:
PADS: Practical Attestation for Highly Dynamic Swarm Topologies. - Ahmed Hussain Qureshi, Mayur J. Bency, Michael C. Yip:
Motion Planning Networks. - Joseph Clements, Yingjie Lao:
Hardware Trojan Attacks on Neural Networks. - Derya Malak, Muriel Médard, Edmund M. Yeh:
Tiny Codes for Guaranteeable Delay. - Michele Pratusevich:
Deep Learning Approximation: Zero-Shot Neural Network Speedup. - Kamyar Azizzadenesheli, Brandon Yang, Weitang Liu, Emma Brunskill, Zachary C. Lipton, Animashree Anandkumar:
Sample-Efficient Deep RL with Generative Adversarial Tree Search. - Yee-Hui Oh, John See, Anh Cat Le Ngo, Raphael Chung-Wei Phan, Vishnu Monn Baskaran:
A Survey of Automatic Facial Micro-expression Analysis: Databases, Methods and Challenges. - Menglei Zhang, Michele Polese, Marco Mezzavilla, Jing Zhu, Sundeep Rangan, Shivendra S. Panwar, Michele Zorzi:
Will TCP work in mmWave 5G Cellular Networks? - Yunzhe Xue, Usman Roshan:
Random depthwise signed convolutional neural networks. - Hiroaki Nakajima, Yu Takahashi, Kazunobu Kondo, Yuji Hisaminato:
Monaural source enhancement maximizing source-to-distortion ratio via automatic differentiation. - John Ray Bergado, Claudio Persello, Alfred Stein:
Recurrent Multiresolution Convolutional Networks for VHR Image Classification. - Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing:
RAPIDNN: In-Memory Deep Neural Network Acceleration Framework. - Ziheng Wang, Ann Majewicz Fey:
Deep Learning with Convolutional Neural Network for Objective Skill Evaluation in Robot-assisted Surgery. - Bin Fu, Pengfei Gu, Yuming Zhao:
Polyhedra Circuits and Their Applications. - Ziheng Wang, Ann Majewicz Fey:
SATR-DL: Improving Surgical Skill Assessment and Task Recognition in Robot-assisted Surgery with Deep Neural Networks. - Hao Liu, Qinyu Cao, Xinru Liao, Guang Qiu, Sheng Li, Jiming Chen:
CIA-Towards a Unified Marketing Optimization Framework for e-Commerce Sponsored Search. - Vijetha Gattupalli, Baoxin Li:
Unsupervised Deep Image Hashing through Tag Embeddings. - Jaechang Lim, Seongok Ryu, Jin Woo Kim, Woo Youn Kim:
Molecular generative model based on conditional variational autoencoder for de novo molecular design. - Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Best sources forward: domain generalization through source-specific nets. - Shaogang Ren, Jianhua Z. Huang, Shuai Huang, Xiaoning Qian:
Safe Active Feature Selection for Sparse Learning. - Branislav Kveton, Chang Li, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvári, Masrour Zoghi:
BubbleRank: Safe Online Learning to Rerank. - Peter Robinson:
Design Patterns which Facilitate Message Digest Collision Attacks on Blockchains. - Amina Ben Hamida, Alexandre Benoît
Three dimensional Deep Learning approach for remote sensing image classification. - Joris Tavernier, Jaak Simm, Karl Meerbergen, Yves Moreau:
Multilevel preconditioning for Ridge Regression. - Michal Bizzarri, Miroslav Lávicka, Jan Vrsek:
Computing projective equivalences of special algebraic varieties. - Fabien Lauer:
On the exact minimization of saturated loss functions for robust regression and subspace estimation. - Vaibhav Saini, Farima Farmahinifarahani, Yadong Lu, Pierre Baldi, Cristina V. Lopes:
Oreo: Detection of Clones in the Twilight Zone. - Marco Del Tredici, Raquel Fernández:
The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities. - Maxime Ferrera, Julien Moras, Pauline Trouvé-Peloux, Vincent Creuze:
Real-time Monocular Visual Odometry for Turbid and Dynamic Underwater Environments. - Patrick Spettel, Hans-Georg Beyer, Michael Hellwig:
A Covariance Matrix Self-Adaptation Evolution Strategy for Linear Constrained Optimization. - Marco Del Tredici, Raquel Fernández:
Semantic Variation in Online Communities of Practice. - Alejandro Vera Baquero, Ricardo Colomo Palacios:
A Big-Data based and process-oriented decision support system for traffic management. - Jakub Breier, Xiaolu Hou, Dirmanto Jap, Lei Ma, Shivam Bhasin, Yang Liu:
Practical Fault Attack on Deep Neural Networks. - Steve Lawford, Yll Mehmeti:
Cliques and a new measure of clustering: with application to U.S. domestic airlines. - Bahareh Banyassady, Matias Korman, Wolfgang Mulzer:
Geometric Algorithms with Limited Workspace: A Survey. - Carlos Pedro Gonçalves:
Financial Risk and Returns Prediction with Modular Networked Learning. - Constanza Riera, Pantelimon Stanica:
Landscape Boolean Functions. - Yang Yue, Liuyuan He, Gan He, Jian K. Liu, Kai Du, Yonghong Tian, Tiejun Huang:
A simple blind-denoising filter inspired by electrically coupled photoreceptors in the retina. - Tran Ngoc Minh, Mathieu Sinn, Hoang Thanh Lam, Martin Wistuba:
Automated Image Data Preprocessing with Deep Reinforcement Learning. - Ahmed Imtiaz Humayun, Shabnam Ghaffarzadegan, Zhe Feng, Taufiq Hasan:
Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection. - Serena Elisa Ponta, Henrik Plate, Antonino Sabetta:
Beyond Metadata: Code-centric and Usage-based Analysis of Known Vulnerabilities in Open-source Software. - Sascha Henzgen, Eyke Hüllermeier:
Mining Rank Data. - Miquel Junyent, Anders Jonsson, Vicenç Gómez:
Improving width-based planning with compact policies. - Arne Köhn, Timo Baumann, Oskar Dörfler:
An Empirical Analysis of the Correlation of Syntax and Prosody. - Qiao Qu, Bo Li, Mao Yang, Zhongjiang Yan, Annan Yang, Jian Yu, Ming Gan, Yun-Bo Li, Xun Yang, Osama Aboul-Magd, Edward Au, Der-Jiunn Deng, Kwang-Cheng Chen:
Survey and Performance Evaluation of the Upcoming Next Generation WLAN Standard - IEEE 802.11ax. - William Pourmajidi, John Steinbacher, Tony Erwin, Andriy V. Miranskyy:
On Challenges of Cloud Monitoring. - Guohui Xiao, Roman Kontchakov, Benjamin Cogrel, Diego Calvanese, Elena Botoeva:
Efficient Handling of SPARQL OPTIONAL for OBDA (Extended Version). - Kim Nevelsteen, Martin Wehlou:
IPSME- Idempotent Publish/Subscribe Messaging Environment. - Gustav Lindmark, Claudio Altafini:
The role of non-normality for control energy reduction in network controllability problems. - Amanda Clare, Jacqueline W. Daykin:
Enhanced string factoring from alphabet orderings. - Xuecheng Ma, Xin Wang, Dongdai Lin:
Anonymous Identity-Based Encryption with Identity Recovery. - Federico Magliani, Tomaso Fontanini, Andrea Prati:
Efficient Nearest Neighbors Search for Large-Scale Landmark Recognition. - Nikos Engonopoulos, Christoph Teichmann, Alexander Koller:
Discovering User Groups for Natural Language Generation. - Marco S. Fernandes
An Aiding Tool for Building Design Generation, Thermal Assessment and Optimization - EnergyPlus Interaction Overview. - Herbert Palm:
Hyper Space Exploration - A Multicriterial Quantitative Trade-Off Analysis for System Design in Complex Environment. - Rafael Ballester-Ripoll, Peter Lindstrom, Renato Pajarola:
TTHRESH: Tensor Compression for Multidimensional Visual Data. - Orna Kupferman, Gal Vardi:
Flow Logic. - Wissem Abbes, Zied Kechaou, Adel M. Alimi:
An Enhanced BPSO based Approach for Service Placement in Hybrid Cloud. - Lorenz Berger, Eoin Hyde, Matt Gibb, Nevil Pavithran, Faiz Mumtaz, Sébastien Ourselin:
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation. - Felix Laumann, Kumar Shridhar, Adrian Llopart Maurin:
Bayesian Convolutional Neural Networks. - Yuan Liang:
Online Variant of Parcel Allocation in Last-mile Delivery. - Rodrigo Ferreira Berriel, Edilson de Aguiar, Alberto F. De Souza, Thiago Oliveira-Santos:
Ego-Lane Analysis System (ELAS): Dataset and Algorithms. - Suman Banerjee, Nikita Moghe, Siddhartha Arora, Mitesh M. Khapra:
A Dataset for Building Code-Mixed Goal Oriented Conversation Systems. - Nicolas Bonneel, David Coeurjolly, Pierre Gueth, Jacques-Olivier Lachaud:
Mumford-Shah Mesh Processing using the Ambrosio-Tortorelli Functional. - Peter Anderson, Stephen Gould, Mark Johnson:
Partially-Supervised Image Captioning. - Thommen George Karimpanal:
A Self-Replication Basis for Designing Complex Agents. - Marcel R. Ackermann, Florian Reitz:
Homonym Detection in Curated Bibliographies: Learning from dblp's Experience (full version). - Roel Dobbe, Werner van Westering, Stephan Liu, Daniel Arnold, Duncan S. Callaway, Claire J. Tomlin:
Forecasting-Based State Estimation for Three-Phase Distribution Systems with Limited Sensing. - Sagie Benaim, Lior Wolf:
One-Shot Unsupervised Cross Domain Translation. - Rita Gitik:
Two Algorithms in Group Theory. - Shreyas Badiger, Shrey Baheti, Yogesh Simmhan:
VIoLET: A Large-scale Virtual Environment for Internet of Things. - Xiaohan Wang, Tengyu Ma, James Ainooson, Seunghwan Cha, Xiaotian Wang, Azhar Molla, Maithilee Kunda:
Seeing Neural Networks Through a Box of Toys: The Toybox Dataset of Visual Object Transformations. - Jiankang Zhang, Sheng Chen, Rong Zhang, Anas F. Al Rawi, Lajos Hanzo:
Differential Evolution Algorithm Aided Turbo Channel Estimation and Multi-User Detection for G.Fast Systems in the Presence of FEXT. - Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
Deep Lip Reading: a comparison of models and an online application. - L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi:
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. - Mina Yazdandoost, Peyman Khazaei, Salar Saadatian, Rahim Kamali:
Distributed Optimization Strategy for Multi Area Economic Dispatch Based on Electro Search Optimization Algorithm. - Mark A. Hallen, Bruce Randall Donald:
Protein Design by Algorithm. - Utku Evci:
Detecting Dead Weights and Units in Neural Networks. - Ramik Sadana, Meeshu Agnihotri, John T. Stasko:
Touching Data: A Discoverability-based Evaluation of a Visualization Interface for Tablet Computers. - Christopher De Sa, Vincent Chen, Wing Wong:
Minibatch Gibbs Sampling on Large Graphical Models. - (Withdrawn) A Polynomial-Time Algorithm for (2-2/k)-stable Instances of the k-terminal cut Problem.
- Connor Schenck, Dieter Fox:
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks. - Mrinal Kumar, Shubhangi Saraf:
Arithmetic Circuits with Locally Low Algebraic Rank. - Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman:
Unsupervised Training for 3D Morphable Model Regression. - Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, Jonathan R. Ullman:
The Limits of Post-Selection Generalization. - Mark Bickford:
Formalizing Category Theory and Presheaf Models of Type Theory in Nuprl. - Guokun Lai, Bohan Li, Guoqing Zheng, Yiming Yang:
Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data. - Cynthia Dwork, Christina Ilvento:
Fairness Under Composition. - Stephen Mussmann, Percy Liang:
On the Relationship between Data Efficiency and Error for Uncertainty Sampling. - Pooya Ashtari, Fateme Nateghi Haredasht:
Supervised Fuzzy Partitioning. - Michele Polese, Michele Zorzi:
Impact of Channel Models on the End-to-End Performance of mmWave Cellular Networks. - Hannah Marienwald, Wikor Pronobis, Klaus-Robert Müller, Shinichi Nakajima:
Tight Bound of Incremental Cover Trees for Dynamic Diversification. - Marcus Gualtieri, Robert Platt Jr.:
Learning 6-DoF Grasping and Pick-Place Using Attention Focus. - Farzin Haddadpour, Yaoqing Yang, Malhar Chaudhari, Viveck R. Cadambe, Pulkit Grover
Straggler-Resilient and Communication-Efficient Distributed Iterative Linear Solver. - Fabio Strazzeri
Morse Theory and an Impossibility Theorem for Graph Clustering. - Radu Grigore, Stefan Kiefer:
Selective Monitoring. - Vida Dujmovic, Djedjiga Outioua:
A note on choosability with defect 1 of graphs on surfaces. - Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Dongxi Liu, Seyit Camtepe, Ibrahim Khalil:
Efficient Data Perturbation for Privacy Preserving and Accurate Data Stream Mining. - Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, Greg Mori:
Object Level Visual Reasoning in Videos. - Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone:
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning. - Michael Okwori, Ali Behfarnia, Phanikumar Vuka, Ali Eslami:
A Micro-Scale Mobile-Enabled Implantable Medical Sensor. - Ali Tamimi, Ozgur Oksuz, Jinyoung Lee, Adam Hahn:
Attack Surface Metrics and Privilege-based Reduction Strategies for Cyber-Physical Systems. - Chuka Oham, Raja Jurdak, Salil S. Kanhere, Ali Dorri, Sanjay K. Jha:
B-FICA: BlockChain based Framework for Auto-insurance Claim and Adjudication. - Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou, Mahmood Fathy:
Semantic Video Segmentation: A Review on Recent Approaches. - Yao-Hung Hubert Tsai, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency, Ruslan Salakhutdinov:
Learning Factorized Multimodal Representations. - Kai-Xuan Chen, Xiao-Jun Wu, Rui Wang, Josef Kittler:
Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification. - Kai-Xuan Chen, Xiao-Jun Wu:
Component SPD Matrices: A lower-dimensional discriminative data descriptor for image set classification. - Ganapati Bhat, Suat Gumussoy, Ümit Y. Ogras:
Power-Temperature Stability and Safety Analysis for Multiprocessor Systems. - Golshan Golnari, Zhi-Li Zhang:
Fast Distance Sensitivity Oracle for Multiple Failures. - Ryan Y. Benmalek, Claire Cardie, Serge J. Belongie, Xiaodong He, Jianfeng Gao:
The Neural Painter: Multi-Turn Image Generation. - Jianli Pan, Jianyu Wang, Austin Hester, Ismail AlQerm, Yuanni Liu, Ying Zhao:
EdgeChain: An Edge-IoT Framework and Prototype Based on Blockchain and Smart Contracts. - Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang:
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. - Jianli Pan, Yuanni Liu, Jianyu Wang, Austin Hester:
Key Enabling Technologies for Secure and Scalable Future Fog-IoT Architecture: A Survey. - (Withdrawn) Recurrent neural network-based user authentication for freely typed keystroke data.
- Jianyu Wang, Jianli Pan, Flavio Esposito, Prasad Calyam, Zhicheng Yang, Prasant Mohapatra:
Edge Cloud Offloading Algorithms: Issues, Methods, and Perspectives. - Hima Varsha Dureddy, Zachary Kaden:
Handling Cold-Start Collaborative Filtering with Reinforcement Learning. - Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge J. Belongie:
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. - Chao Yang, Taehwan Kim, Ruizhe Wang, Hao Peng, C.-C. Jay Kuo:
Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention. - Yabin Zhang, Kui Jia, Zhixin Wang:
Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection Network. - Pengcheng Guo, Haihua Xu, Lei Xie, Eng Siong Chng:
Study of Semi-supervised Approaches to Improving English-Mandarin Code-Switching Speech Recognition. - Shengguo Li, Jie Liu, Yunfei Du:
A New High Performance and Scalable SVD algorithm on Distributed Memory Systems. - Lijing Zhang, Xiaowang Zhang, Zhiyong Feng:
TrQuery: An Embedding-based Framework for Recommanding SPARQL Queries. - Wlodzislaw Duch, Karol Grudzinski:
Meta-learning: searching in the model space. - Sauradip Nag, Pallab Kumar Ganguly, Sumit Roy, Sourab Jha, Krishna Bose, Abhishek Jha, Koushik Dasgupta:
Offline Extraction of Indic Regional Language from Natural Scene Image using Text Segmentation and Deep Convolutional Sequence. - Mahdi Cheraghchi, João Ribeiro:
Sharp Analytical Capacity Upper Bounds for Sticky and Related Channels. - Nikolaos Pappas, James Henderson:
Joint Input-Label Embedding for Neural Text Classification. - Allan Borodin, Joan Boyar, Kim S. Larsen, Denis Pankratov:
Advice Complexity of Priority Algorithms. - Navonil Majumder, Devamanyu Hazarika, Alexander F. Gelbukh, Erik Cambria, Soujanya Poria:
Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling. - Paulin Jacquot, Cheng Wan:
Nonsmooth Aggregative Games with Coupling Constraints and Infinitely Many Classes of Players. - Alexandre Quemy:
Binary Classification in Unstructured Space With Hypergraph Case-Based Reasoning. - Yin Sun, Benjamin Cyr:
Information Aging through Queues: A Mutual Information Perspective. - Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker:
Real-time Prediction of Segmentation Quality. - Jung Hoon Lee:
DynMat, a network that can learn after learning. - Gal Cohensius, Omer Ben-Porat, Reshef Meir, Ofra Amir:
Efficient Crowdsourcing via Proxy Voting. - Rafael Freitas Reale, Romildo Martins da Silva Bezerra, Joberto S. B. Martins
Applying Autonomy with Bandwidth Allocation Models. - Christian S. Perone, Roberto Pereira Silveira, Thomas S. Paula:
Evaluation of sentence embeddings in downstream and linguistic probing tasks. - Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah:
On Strategyproof Conference Peer Review. - Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li:
Stable Prediction across Unknown Environments. - Maxwell Scale Uwadia Osagie, C. I. Okoye, Osagie Joy Amenze:
Mitigating Botnet Attack Using Encapsulated Detection Mechanism (EDM). - Ehud Shapiro, Nimrod Talmon:
Integrating Deliberation and Voting in Participatory Drafting of Legislation. - ShahRukh Athar, Evgeniy Burnaev, Victor S. Lempitsky:
Latent Convolutional Models. - Tewodros A. Zewde, Mustafa Cenk Gursoy:
NOMA-based Energy-Efficient Wireless Powered Communications. - Ruiwen Chen, Rahul Santhanam, Srikanth Srinivasan:
Average-Case Lower Bounds and Satisfiability Algorithms for Small Threshold Circuits. - Sergi Abadal, Albert Mestres, Josep Torrellas, Eduard Alarcón, Albert Cabellos-Aparicio:
Medium Access Control in Wireless Network-on-Chip: A Context Analysis. - Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Right for the Right Reason: Training Agnostic Networks. - Xianglei Xing, Ruiqi Gao, Tian Han, Song-Chun Zhu, Ying Nian Wu:
Deformable Generator Network: Unsupervised Disentanglement of Appearance and Geometry. - Andrew Ryzhikov, Marek Szykula:
Finding Short Synchronizing Words for Prefix Codes. - Adam Sutton, Thomas Lansdall-Welfare, Nello Cristianini:
Biased Embeddings from Wild Data: Measuring, Understanding and Removing. - Divya Chitimalla, Biswanath Mukherjee, Massimo Tornatore, Sang-Soo Lee, Han Hyub Lee, Soomyung Park, Hwan Seok Chung:
QoE Enhancement Schemes for Video in Converged OFDMA Wireless Networks and EPONs. - Divya Chitimalla, Koteswararao Kondepu, Luca Valcarenghi, Massimo Tornatore, Biswanath Mukherjee:
5G fronthaul-latency and jitter studies of CPRI over ethernet. - Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham
Laplacian Smoothing Gradient Descent. - Gaurav Gupta, Sérgio Pequito, Paul Bogdan:
Approximate Submodular Functions and Performance Guarantees. - Xiao Xiong, Bo Yang
A Gradient Tree Boosting based Approach to Rumor Detecting on Sina Weibo. - Pantelis Loupos, Alexandros Nathan:
The Structure and Evolution of an Offline Peer-to-Peer Financial Network. - Changyang She, Zhengchuan Chen, Chenyang Yang, Tony Q. S. Quek, Yonghui Li, Branka Vucetic:
Improving Network Availability of Ultra-Reliable and Low-Latency Communications with Multi-Connectivity. - Linhao Dong, Shiyu Zhou, Wei Chen, Bo Xu:
Extending Recurrent Neural Aligner for Streaming End-to-End Speech Recognition in Mandarin. - Christopher J. Tralie:
Cover Song Synthesis by Analogy. - Huiming Jin, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin:
Incorporating Chinese Characters of Words for Lexical Sememe Prediction. - Emilio Delgado López-Cózar, Enrique Orduña-Malea, Alberto Martín-Martín, Juan Manuel Ayllon:
Google Scholar: the 'big data' bibliographic tool. - Pin Wu, Yang Yang, Xiaoqiang Li:
StegNet: Mega Image Steganography Capacity with Deep Convolutional Network. - Lisa Beinborn, Teresa Botschen, Iryna Gurevych:
Multimodal Grounding for Language Processing. - Tian Guo, Tao Lin:
Multi-variable LSTM neural network for autoregressive exogenous model. - Marta Nuñez Garcia, Oscar Camara, Mark D. O'Neill, Reza Razavi, Henry Chubb, Constantine Butakoff:
Mind the gap: quantification of incomplete ablation patterns after pulmonary vein isolation using minimum path search. - Junchi Liang, Abdeslam Boularias:
Task-Relevant Object Discovery and Categorization for Playing First-person Shooter Games. - Leila Khalatbari, Mohammadreza Kangavari, Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung:
MCP: a multi-component learning machine for prediction of protein secondary structure. - Miao Cui, Guangchi Zhang, Qingqing Wu, Derrick Wing Kwan Ng:
Robust Trajectory and Transmit Power Design for Secure UAV Communications. - Karim Armanious, Chenming Yang, Marc Fischer, Thomas Küstner, Konstantin Nikolaou, Sergios Gatidis, Bin Yang:
MedGAN: Medical Image Translation using GANs. - Ming Tang, Linyu Zheng, Bin Yu
High Speed Kernelized Correlation Filters without Boundary Effect. - Bijoyan Das, Sarit Chakraborty:
An Improved Text Sentiment Classification Model Using TF-IDF and Next Word Negation. - Lisa Lee, Emilio Parisotto, Devendra Singh Chaplot, Eric P. Xing, Ruslan Salakhutdinov:
Gated Path Planning Networks. - Svitlana Vakulenko, Maarten de Rijke, Michael Cochez, Vadim Savenkov, Axel Polleres:
Measuring Semantic Coherence of a Conversation. - Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang:
High-speed Tracking with Multi-kernel Correlation Filters. - Jie Lian, Mohammad Noshad, Maïté Brandt-Pearce:
Comparison of DCO-OFDM and M-PAM for LED-Based Communication Systems. - Nicholas J. A. Harvey, Christopher Liaw, Paul Liu:
Greedy and Local Ratio Algorithms in the MapReduce Model. - Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge J. Belongie:
Learning to Evaluate Image Captioning. - Chao-Han Huck Yang, Jia-Hong Huang, Fangyu Liu, Fang-Yi Chiu, Mengya Gao, Weifeng Lyu, I-Hung Lin, Jesper Tegnér
A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases. - Xiaoshen Song, Saeid Haghighatshoar, Giuseppe Caire:
Efficient Beam Alignment for mmWave Single-Carrier Systems with Hybrid MIMO Transceivers. - Anna C. Gilbert, Audra McMillan:
Property Testing for Differential Privacy. - Aditya Krishnan, Sidhanth Mohanty, David P. Woodruff:
On Sketching the q to p norms. - Alexandr Andoni, Chengyu Lin, Ying Sheng, Peilin Zhong, Ruiqi Zhong:
Subspace Embedding and Linear Regression with Orlicz Norm. - Oliver Knill:
Combinatorial manifolds are Hamiltonian. - Mark Herbster, James Robinson:
Predicting Switching Graph Labelings with Cluster Specialists. - (Withdrawn) Self-Attentive Neural Collaborative Filtering.
- Zhihao Yuan, Dai Hai Ton That, Siddhant Kothari, Gabriel Fils, Tanu Malik:
Utilizing Provenance in Reusable Research Objects. - Anae Sobhani, Bilal Farooq:
Impact of Smartphone Distraction on Pedestrians' Crossing Behaviour: An Application of Head-Mounted Immersive Virtual Reality. - Alireza Aghasi, Afshin Abdi, Justin Romberg:
Fast Convex Pruning of Deep Neural Networks. - Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yura Burda, Harrison Edwards:
Learning Policy Representations in Multiagent Systems. - Roberto Martín-Martín, Clemens Eppner, Oliver Brock:
The RBO Dataset of Articulated Objects and Interactions. - Marina Blanton, Ah Reum Kang
Privacy Preserving Analytics on Distributed Medical Data. - Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo:
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment. - Joao T. Dias, Rodrigo C. de Lamare, Yuriy V. Zakharov:
Study of BEM-Type Channel Estimation Techniques for 5G Multicarrier Systems. - Tianci Yang, Carlos Murguia
Attack Detection and Isolation for Discrete-Time Nonlinear Systems. - Zecheng He, Aswin Raghavan, Sek M. Chai, Ruby B. Lee:
Detecting Zero-day Controller Hijacking Attacks on the Power-Grid with Enhanced Deep Learning. - Yi Ouyang, Seyed Mohammad Asghari, Ashutosh Nayyar:
Optimal Infinite Horizon Decentralized Networked Controllers with Unreliable Communication. - Axel Sauer, Nikolay Savinov, Andreas Geiger:
Conditional Affordance Learning for Driving in Urban Environments. - Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos:
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. - Ildefons Magrans de Abril, Ryota Kanai:
A unified strategy for implementing curiosity and empowerment driven reinforcement learning. - Ahmed Imtiaz Humayun, Md. Tauhiduzzaman Khan, Shabnam Ghaffarzadegan, Zhe Feng, Taufiq Hasan:
An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification. - Xuejiao Chen, Jiahui Yu, Feng Ye, Pan Wang:
A Hierarchical Approach to Encrypted Data Packet Classification in Smart Home Gateways. - Chao Zhang, Philip C. Woodland:
Semi-tied Units for Efficient Gating in LSTM and Highway Networks. - Devashish Gosain, Anshika Agarwal, Sahil Shekhawat, Hrishikesh B. Acharya, Sambuddho Chakravarty:
Mending Wall: On the Implementation of Censorship in India. - Adrien Deliège, Anthony Cioppa, Marc Van Droogenbroeck:
HitNet: a neural network with capsules embedded in a Hit-or-Miss layer, extended with hybrid data augmentation and ghost capsules. - Piotr Kowalczyk:
GRPF: Global Complex Roots and Poles Finding Algorithm Based on Phase Analysis. - Sergiu Deitsch
Segmentation of Photovoltaic Module Cells in Electroluminescence Images. - Massimo Quadrana, Marta Reznáková, Tao Ye, Erik Schmidt, Hossein Vahabi:
Modeling Musical Taste Evolution with Recurrent Neural Networks. - Antonio Bucciarelli, Antonio Ledda, Francesco Paoli, Antonino Salibra:
Boolean-like algebras of finite dimension. - Daejin Jung, Sunjung Lee, Wonjong Rhee, Jung Ho Ahn:
Partitioning Compute Units in CNN Acceleration for Statistical Memory Traffic Shaping. - Chang Li, Maarten de Rijke:
Incremental Sparse Bayesian Ordinal Regression. - Stefano Crespi-Reghizzi, Pierluigi San Pietro:
Deque languages, automata and planar graphs. - Steve Heim, Alexander Spröwitz:
Learning from Outside the Viability Kernel: Why we Should Build Robots that can Fall with Grace. - Tom Kocmi, Ondrej Bojar:
SubGram: Extending Skip-gram Word Representation with Substrings. - Thu Nguyen-Phuoc, Chuan Li, Stephen Balaban, Yong-Liang Yang:
RenderNet: A deep convolutional network for differentiable rendering from 3D shapes. - Jiawen Sun, Hans Vandierendonck, Dimitrios S. Nikolopoulos:
VEBO: A Vertex- and Edge-Balanced Ordering Heuristic to Load Balance Parallel Graph Processing. - Niranjan Saikumar, Rahul Kumar Sinha, S. Hassan HosseinNia:
Resetting Disturbance Observers with application in Compensation of bounded nonlinearities like Hysteresis in Piezo-Actuators. - Massimo Cafaro, Italo Epicoco, Marco Pulimeno:
Mining frequent items in unstructured P2P networks. - Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang:
Nonparametric Topic Modeling with Neural Inference. - Mehryar Emambakhsh, Alessandro Bay, Eduard Vazquez:
Deep Recurrent Neural Network for Multi-target Filtering. - Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning. - Gang Yang, Dongdong Yuan, Ying-Chang Liang, Rui Zhang, Victor C. M. Leung:
Optimal Resource Allocation in Full-Duplex Ambient Backscatter Communication Networks for Wireless-Powered IoT. - Alejandro Cervantes, Christian Gagné, Pedro Isasi, Marc Parizeau:
Evaluating and Characterizing Incremental Learning from Non-Stationary Data. - Son N. Tran, Qing Zhang, Mohan Karunanithi:
On Multi-resident Activity Recognition in Ambient Smart-Homes. - Marie-Lena Eckert, Wolfgang Heidrich, Nils Thuerey:
Coupled Fluid Density and Motion from Single Views. - Michael Jünger, Petra Mutzel, Christiane Spisla:
A Flow Formulation for Horizontal Coordinate Assignment with Prescribed Width. - Robert Falkenberg, Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld:
Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks using Passive Downlink Indicators. - Jonas Adler, Sebastian Lunz:
Banach Wasserstein GAN. - Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson:
On Enhancing Speech Emotion Recognition using Generative Adversarial Networks. - Hiroki Sayama:
Cardinality Leap for Open-Ended Evolution: Theoretical Consideration and Demonstration by "Hash Chemistry". - Vitaly P. Zankin, Gleb V. Ryzhakov, Ivan V. Oseledets:
Gradient Descent-based D-optimal Design for the Least-Squares Polynomial Approximation. - Matteo Bracci, Marco Tarini, Nico Pietroni, Marco Livesu, Paolo Cignoni:
HexaLab.net: an online viewer for hexahedral meshes. - Sharad Joshi, Nitin Khanna:
Source Printer Classification using Printer Specific Local Texture Descriptor. - Amir Ban, Yishay Mansour:
Are All Experts Equally Good? A Study of Analyst Earnings Estimates. - Konstantinos Manousaridis, Apostolos Mavridis, Konstantinos Anagnostopoulos, Gregory Kalogiannis:
Introducing an innovative robot-based mobile platform for programming learning. - Karen Renaud, Lynsay A. Shepherd:
How to Make Privacy Policies both GDPR-Compliant and Usable. - Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Zhixu Li, Jiajie Xu, Victor S. Sheng:
Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation. - Richard Vogl, Gerhard Widmer, Peter Knees:
Towards multi-instrument drum transcription. - Laura Alzola Kirschgens, Irati Zamalloa Ugarte, Endika Gil-Uriarte, Aday Muñiz Rosas, Victor Mayoral Vilches:
Robot hazards: from safety to security. - Mingzhang Huang, Hongfei Fu, Krishnendu Chatterjee:
New Approaches for Almost-Sure Termination of Probabilistic Programs. - Oh Tai Lan, Ahmad Suhaimi Baharudin, Kamal Karkonasasi:
VTracker: Impact of User Factors On Users' Intention to Adopt Dietary Intake Monitoring System with Auto Workout Tracker. - Matthieu De Laere, San Tu Pham, Patrick De Causmaecker:
Solving the Steiner Tree Problem in graphs with Variable Neighborhood Descent. - Vidhu Mitha:
A Tour Of The Student's E-Learning Puddle. - Cédric Bentz, Marie-Christine Costa, Pierre-Louis Poirion, Thomas Ridremont:
Formulations for designing robust networks. An application to wind power collection. - Thomas Leimkühler, Gurprit Singh, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel:
End-to-end Sampling Patterns. - Alex Zwanenburg, Stefan Leger, Linda Agolli, Karoline Pilz, Esther G. C. Troost, Christian Richter, Steffen Löck:
Assessing robustness of radiomic features by image perturbation. - Ajin George Joseph, Shalabh Bhatnagar:
An Online Prediction Algorithm for Reinforcement Learning with Linear Function Approximation using Cross Entropy Method. - Hanlei Wang:
Towards Manipulability of Interactive Lagrangian Systems. - Fredrik Johansson:
Numerical Evaluation of Elliptic Functions, Elliptic Integrals and Modular Forms. - Robert E. Tarjan, Caleb C. Levy:
Zip Trees. - Cristian Galleguillos, Zeynep Kiziltan, Alessio Netti, Ricardo Soto:
AccaSim: a Customizable Workload Management Simulator for Job Dispatching Research in HPC Systems. - Pierre Godard, Marcely Zanon Boito, Lucas Ondel, Alexandre Berard, François Yvon, Aline Villavicencio, Laurent Besacier:
Unsupervised Word Segmentation from Speech with Attention. - Tooba Faisal, Nicolas T. Courtois, Antoaneta Serguieva:
The Evolution of Embedding Metadata in Blockchain Transactions. - Samo Gerksic, Bostjan Pregelj, Matija Perne:
FPGA acceleration of Model Predictive Control for Iter Plasma current and shape control. - Alberto Ciaffaglione, Furio Honsell, Marina Lenisa, Ivan Scagnetto:
Linear lambda-calculus and Reversible Automatic Combinators. - Tom Duckett, Simon Pearson, Simon Blackmore, Bruce Grieve:
Agricultural Robotics: The Future of Robotic Agriculture. - Jinghui Chen, Quanquan Gu:
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks. - Jason Jo, Vikas Verma, Yoshua Bengio:
Modularity Matters: Learning Invariant Relational Reasoning Tasks. - Sinho Chewi, Forest Yang, Avishek Ghosh, Abhay Parekh, Kannan Ramchandran:
Online Absolute Ranking with Partial Information: A Bipartite Graph Matching Approach. - Ahmed Taha, Pechin Lo, Junning Li, Tao Zhao:
Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes. - Christoph Anderson, Isabel Fernanda Hübener, Ann-Kathrin Seipp, Sandra Ohly, Klaus David, Veljko Pejovic:
A Survey of Attention Management Systems in Ubiquitous Computing Environments. - Aubrey Jaffer, Martin Jaffer:
Fractal Scaling of Population Counts Over Time Spans. - Rong Gong, Xavier Serra:
Towards an efficient deep learning model for musical onset detection. - Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, Tomasz Trzcinski:
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN. - Roel Dobbe, Oscar Sondermeijer, David Fridovich-Keil, Daniel Arnold, Duncan S. Callaway, Claire J. Tomlin:
Data-Driven Decentralized Optimal Power Flow. - Mohammad Tavakolian, Abdenour Hadid:
Deep Spatiotemporal Representation of the Face for Automatic Pain Intensity Estimation. - Matthias Springstein, Huu Hung Nguyen, Anett Hoppe, Ralph Ewerth:
TIB-arXiv: An Alternative Search Portal for the arXiv Pre-print Server. - Yunhao Tang, Shipra Agrawal:
Implicit Policy for Reinforcement Learning. - Miguel Brozos-Vázquez, María José Pereira-Sáez, María José Souto Salorio, Ana Dorotea Tarrío-Tobar:
Classification of the relative positions between an ellipsoid and an elliptic paraboloid. - Isabel Funke, Alexander Jenke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel, Sebastian Bodenstedt:
Temporal coherence-based self-supervised learning for laparoscopic workflow analysis. - Hideki Kawahara, Ken-Ichi Sakakibara, Masanori Morise, Hideki Banno, Tomoki Toda, Toshio Irino:
Frequency domain variants of velvet noise and their application to speech processing and synthesis: with appendices. - Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Ismailcem Budak Arpinar:
"What's ur type?" Contextualized Classification of User Types in Marijuana-related Communications using Compositional Multiview Embedding. - Yasutaka Narazaki, Vedhus Hoskere, Tu A. Hoang, Billie F. Spencer Jr.:
Automated Bridge Component Recognition using Video Data. - Manuel Parra-Royon, Ghislain Atemezing, José Manuel Benítez:
Data Mining definition services in Cloud Computing with Linked Data. - Xi Cheng, Bohdan Khomtchouk, Norman S. Matloff, Pete Mohanty:
Polynomial Regression As an Alternative to Neural Nets. - Shawn M. Jones, Michele C. Weigle, Michael L. Nelson:
The Off-Topic Memento Toolkit. - Ruixi Lin:
Combining Word Feature Vector Method with the Convolutional Neural Network for Slot Filling in Spoken Language Understanding. - Amjad Almahairi, Kyle Kastner, Kyunghyun Cho, Aaron C. Courville:
Learning Distributed Representations from Reviews for Collaborative Filtering. - Sawon Pratiher, Subhankar Chattoraj:
Manifold Learning & Stacked Sparse Autoencoder for Robust Breast Cancer Classification from Histopathological Images. - Saurabh Arora, Prashant Doshi:
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress. - Shawn M. Jones, Alexander C. Nwala, Michele C. Weigle, Michael L. Nelson:
The Many Shapes of Archive-It. - Sazzadur Rahaman, Ya Xiao, Ke Tian, Fahad Shaon, Murat Kantarcioglu, Danfeng Yao:
CHIRON: Deployment-quality Detection of Java Cryptographic Vulnerabilities. - Aditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar:
Learning to Decode 7T-like MR Image Reconstruction from 3T MR Images. - Jean-Philippe Mercier, Chaitanya Mitash, Philippe Giguère, Abdeslam Boularias:
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images. - Bernard Vau, Henri Bourlès:
Some remarks on the bias distribution analysis of discrete-time identification algorithms based on pseudo-linear regressions. - Xingqin Lin, Jingya Li
5G New Radio: Unveiling the Essentials of the Next Generation Wireless Access Technology. - Xuan-Thuan Nguyen, Trong-Thuc Hoang, Hong-Thu Nguyen, Katsumi Inoue, Cong-Kha Pham:
A 1.2-V 162.9-pJ/cycle Bitmap Index Creation Core with 0.31-pW/bit Standby Power on 65-nm SOTB. - Lynsay A. Shepherd, Jacqueline Archibald:
Security Awareness and Affective Feedback: Categorical Behaviour vs. Reported Behaviour. - Nikhil Garg, Ramesh Johari:
Designing Optimal Binary Rating Systems. - Vitaly Shalumov, Itzik Klein:
Deep Learning based Estimation of Weaving Target Maneuvers. - Shangda Li, Selina Bing, Steven Yang:
Distributional Advantage Actor-Critic. - Frank G. Glavin:
A One-Sided Classification Toolkit with Applications in the Analysis of Spectroscopy Data. - Patrick Diehl
Implementation of Peridynamics utilizing HPX - the C++ standard library for parallelism and concurrency. - Abbas Abdolmaleki, Jost Tobias Springenberg, Yuval Tassa, Rémi Munos, Nicolas Heess, Martin A. Riedmiller:
Maximum a Posteriori Policy Optimisation. - Will Dabney, Georg Ostrovski, David Silver, Rémi Munos:
Implicit Quantile Networks for Distributional Reinforcement Learning. - Mathieu Carrière, Ulrich Bauer:
On the Metric Distortion of Embedding Persistence Diagrams into Reproducing Kernel Hilbert Spaces. - Christopher J. Anders, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller:
Understanding Patch-Based Learning by Explaining Predictions. - Jaehong Kim, Youngduck Choi, Moonsu Cha, Jung Kwon Lee, Sangyeul Lee, Sungwan Kim, Yongseok Choi, Jiwon Kim:
Auto-Meta: Automated Gradient Based Meta Learner Search. - Risto Vuorio, Dong-Yeon Cho, Daejoong Kim, Jiwon Kim:
Meta Continual Learning. - Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski:
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control. - Jon M. Kleinberg, Robert Kleinberg:
Delegated Search Approximates Efficient Search. - (Withdrawn) Bayesian Prediction of Future Street Scenes through Importance Sampling based Optimization.
- Cheng'an Bai, Chao Zhou:
Pressure Predictions of Turbine Blades with Deep Learning. - Michel Duprez, Stéphane P. A. Bordas, Marek Bucki, Huu Phuoc Bui, Franz Chouly, Vanessa Lleras, Claudio Lobos, Alexei Lozinski, Pierre-Yves Rohan, Satyendra Tomar:
Quantifying discretization errors for soft-tissue simulation in computer assisted surgery: a preliminary study. - Alexey Potapov, Innokentii Zhdanov, Oleg Scherbakov, Nikolai Skorobogatko, Hugo Latapie, Enzo Fenoglio:
Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures. - Maximilian Golub, Guy Lemieux, Mieszko Lis:
DropBack: Continuous Pruning During Training. - Patrick H. Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh:
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking. - Wenjia Meng, Qian Zheng, Long Yang, Pengfei Li, Gang Pan:
Qualitative Measurements of Policy Discrepancy for Return-based Deep Q-Network. - Surafel Melaku Lakew, Mauro Cettolo, Marcello Federico:
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation. - Marco Mamei, Francesca Pancotto, Marco De Nadai, Bruno Lepri, Michele Vescovi, Francesco Zambonelli, Alex Pentland:
Is social capital associated with synchronization in human communication? An analysis of Italian call records and measures of civic engagement. - Shan E Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani, Selvaraju Veeriah, John Le Quesne, Charles Swanton, Yinyin Yuan:
Deconvolving convolution neural network for cell detection. - Soumya Wadhwa, Khyathi Raghavi Chandu, Eric Nyberg:
Comparative Analysis of Neural QA models on SQuAD. - Paul Beame, Shayan Oveis Gharan, Xin Yang:
On the Bias of Reed-Muller Codes over Odd Prime Fields. - Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Using Mode Connectivity for Loss Landscape Analysis. - Isaac C. Sheff, Xinwen Wang, Andrew C. Myers, Robbert van Renesse:
A Web of Blocks. - Tom F. H. Runia, Cees G. M. Snoek, Arnold W. M. Smeulders:
Repetition Estimation. - Minh-Tan Pham, Erchan Aptoula, Sébastien Lefèvre:
Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study. - Zhe Wu, Navaneeth Bodla, Bharat Singh, Mahyar Najibi, Rama Chellappa, Larry S. Davis:
Soft Sampling for Robust Object Detection. - Yuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew
Fast Multiple Landmark Localisation Using a Patch-based Iterative Network. - Yongxin Yang, Irene Garcia Morillo, Timothy M. Hospedales:
Deep Neural Decision Trees. - Leif W. Hanlen, Richard Nock, Hanna Suominen
Private Text Classification. - Xiao Sun, Jingyuan Li, Jianhua Tao:
Emotional Conversation Generation Orientated Syntactically Constrained Bidirectional-Asynchronous Framework. - Sifeng Xia, Wenhan Yang, Yueyu Hu, Siwei Ma, Jiaying Liu:
A Group Variational Transformation Neural Network for Fractional Interpolation of Video Coding. - Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, Antonio Torralba:
VirtualHome: Simulating Household Activities via Programs. - Wenxue Cui, Feng Jiang, Xinwei Gao, Wen Tao, Debin Zhao:
Deep neural network based sparse measurement matrix for image compressed sensing. - Shota Motoura, Kazeto Yamamoto, Shumpei Kubosawa, Takashi Onishi:
Translating MFM into FOL: towards plant operation planning. - Hrishikesh B. Acharya, Sambuddho Chakravarty, Devashish Gosain:
Few Throats to Choke: On the Current Structure of the Internet. - Linkai Luo, Haiqing Yang, Francis Y. L. Chin:
EmotionX-DLC: Self-Attentive BiLSTM for Detecting Sequential Emotions in Dialogue. - Taro Sekiyama, Atsushi Igarashi:
Reasoning about Polymorphic Manifest Contracts. - Yu Wu, Furu Wei, Shaohan Huang, Zhoujun Li, Ming Zhou:
Response Generation by Context-aware Prototype Editing. - Huan Fu, Mingming Gong, Chaohui Wang, Dacheng Tao:
MoE-SPNet: A Mixture-of-Experts Scene Parsing Network. - Sukanya Saha, Krishnendu Rarhi, Abhishek Bhattacharya:
Systematization of a 256-bit lightweight block cipher Marvin. - Kartik Mohta, Ke Sun, Sikang Liu, Michael Watterson, Bernd Pfrommer, James Svacha, Yash Mulgaonkar, Camillo Jose Taylor, Vijay Kumar:
Experiments in Fast, Autonomous, GPS-Denied Quadrotor Flight. - Guohao Lan, Dong Ma, Weitao Xu, Mahbub Hassan, Wen Hu:
Capacitor Based Activity Sensing for Kinetic Powered Wearable IoTs. - Marti Floriach-Pigem, Guillem Xercavins-Torregrosa, Antoni Gelonch Bosch, Vuk Marojevic:
Creating Tailored and Adaptive Network Services with the Open Orchestration C-RAN Framework. - Md Mohaimenuzzaman, Zahraa Said Abdallah, Joarder Kamruzzaman, Bala Srinivasan:
Effect of Hyper-Parameter Optimization on the Deep Learning Model Proposed for Distributed Attack Detection in Internet of Things Environment. - Vuk Marojevic, Shem Kikamaze, Randall Nealy, Carl B. Dietrich:
5G-CORNET: Platform as a Service. - Marco Cianfriglia, Flavio Vella, Cedric Nugteren, Anton Lokhmotov, Grigori Fursin:
A model-driven approach for a new generation of adaptive libraries. - Yi Li, Wei Ping:
Cancer Metastasis Detection With Neural Conditional Random Field. - Guido Montúfar
Restricted Boltzmann Machines: Introduction and Review. - Sauradip Nag, Palaiahnakote Shivakumara, Yirui Wu, Umapada Pal, Tong Lu:
A New COLD Feature based Handwriting Analysis for Ethnicity/Nationality Identification. - Nadezhda Prodanova, Johannes Stegmaier, Stephan Allgeier, Sebastian Bohn, Oliver Stachs, Bernd Köhler, Ralf Mikut, Andreas Bartschat:
Transfer Learning with Human Corneal Tissues: An Analysis of Optimal Cut-Off Layer. - Bi Li, Wenxuan Xie, Wenjun Zeng, Wenyu Liu:
Learning to Update for Object Tracking. - He Jiang, Dong Liu, Zhilei Ren, Tao Zhang:
Blockchain in the Eyes of Developers. - Hyeok Kong, Dokjun An, Jihyang Ri:
Itemsets of interest for negative association rules. - Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux
End-to-End Speech Recognition From the Raw Waveform. - Ivan Lanese, Naoki Nishida, Adrián Palacios, Germán Vidal:
A Theory of Reversibility for Erlang. - Etienne Moutot, Pascal Vanier:
Slopes of 3-dimensional Subshifts of Finite Type. - Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar:
Online Linear Quadratic Control. - Qiqi Zhang, Ying Liu:
Improving brain computer interface performance by data augmentation with conditional Deep Convolutional Generative Adversarial Networks. - Yaël Balbastre, Mikael Brudfors, Kevin Bronik, John Ashburner:
Diffeomorphic brain shape modelling using Gauss-Newton optimisation. - Nuno C. Garcia
Modality Distillation with Multiple Stream Networks for Action Recognition. - Giuseppe De Nittis, Nicola Gatti:
Facing Multiple Attacks in Adversarial Patrolling Games with Alarmed Targets. - Timothy Sandy, Simon Kerscher, Jonas Buchli:
ConFusion: Sensor Fusion for Complex Robotic Systems using Nonlinear Optimization. - Gourab Ghatak, Remun Koirala, Antonio De Domenico, Benoît Denis, Davide Dardari, Bernard Uguen:
Positioning Data-Rate Trade-off in mm-Wave Small Cells and Service Differentiation for 5G Networks. - Hui Li, Xiao-Jun Wu:
Infrared and Visible Image Fusion with ResNet and zero-phase component analysis. - Masoume M. Raeissi, Alessandro Farinelli:
Cooperative Queuing Policies for Effective Human-Multi-Robot Interaction. - Roshanak Zakizadeh, Michele Sasdelli, Yu Qian, Eduard Vazquez:
FineTag: Multi-label Retrieval of Attributes at Fine-grained Level in Images. - Flavio Ferrarotti, Senén González, Klaus-Dieter Schewe, José Maria Turull Torres:
The Polylog-Time Hierarchy Captured by Restricted Second-Order Logic. - Dennis Collaris
Instance-Level Explanations for Fraud Detection: A Case Study. - Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans. - Arthur Bit-Monnot, Francesco Leofante, Luca Pulina, Erika Ábrahám, Armando Tacchella:
SMarTplan: a Task Planner for Smart Factories. - Henry B. Moss, David S. Leslie, Paul Rayson:
Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models. - Germonda Mooij, Ines Bagulho, Henkjan J. Huisman:
Automatic segmentation of prostate zones. - Jun Yu, Xiao-Jun Wu, Josef Kittler:
Semi-supervised Hashing for Semi-Paired Cross-View Retrieval. - Luca Vassio, Idilio Drago, Marco Mellia, Zied Ben-Houidi, Mohamed Lamine Lamali:
You, the Web and Your Device: Longitudinal Characterization of Browsing Habits. - Saurabh Joshi, Prateek Kumar, Ruben Martins, Sukrut Rao
Approximation Strategies for Incomplete MaxSAT. - Pavel Petrushkov, Shahram Khadivi, Evgeny Matusov:
Learning from Chunk-based Feedback in Neural Machine Translation. - Anguelos Nicolaou, Sounak Dey, Vincent Christlein, Andreas K. Maier, Dimosthenis Karatzas:
Non-deterministic Behavior of Ranking-based Metrics when Evaluating Embeddings. - Santtu Tikka, Juha Karvanen:
Surrogate Outcomes and Transportability. - Farshid Rayhan, Sajid Ahmed, Zaynab Mousavian, Dewan Md. Farid, Swakkhar Shatabda:
FRnet-DTI: Convolutional Neural Networks for Drug-Target Interaction. - Zheng Chen, Emil Björnson, Erik G. Larsson:
When Is the Achievable Rate Region Convex in Two-User Massive MIMO Systems? - Tom Kelly, Paul Guerrero, Anthony Steed, Peter Wonka, Niloy J. Mitra:
FrankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs. - Claire Fullarton, Thomas C. Draper, Neil Phillips, Ben P. J. de Lacy Costello, Andrew Adamatzky:
Belousov-Zhabotinsky reaction in liquid marbles. - Thomas Lucas, Corentin Tallec, Jakob Verbeek, Yann Ollivier:
Mixed batches and symmetric discriminators for GAN training. - Jan Vanek, Josef Michalek, Josef Psutka:
Recurrent DNNs and its Ensembles on the TIMIT Phone Recognition Task. - George Bissias, Brian Neil Levine, David Thibodeau:
Using Economic Risk to Model Miner Hash Rate Allocation in Cryptocurrencies. - Thomas Beckers, Dana Kulic, Sandra Hirche:
Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems. - Helene Haagh, Aleksandr Karbyshev, Sabine Oechsner, Bas Spitters
Computer-aided proofs for multiparty computation with active security. - Umberto Grandi:
Agent-Mediated Social Choice. - Sebastian Curi, Kfir Y. Levy, Andreas Krause:
Unsupervised Imitation Learning. - Yue Zhang, Shun Miao, Tommaso Mansi, Rui Liao:
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation. - Ye Wang, Mi Lu:
An optimized system to solve text-based CAPTCHA. - Antonio González-Burgueño, Damián Aparicio, Santiago Escobar, Catherine Meadows, José Meseguer:
Formal verification of the YubiKey and YubiHSM APIs in Maude-NPA. - Andrea Pizzo, Alessio Zappone, Luca Sanguinetti:
Solving Fractional Polynomial Problems by Polynomial Optimization Theory. - Xuan-Son Vu, Lili Jiang:
Self-adaptive Privacy Concern Detection for User-generated Content. - Toon Jouck, Alfredo Bolt, Benoît Depaire, Massimiliano de Leoni, Wil M. P. van der Aalst:
An Integrated Framework for Process Discovery Algorithm Evaluation. - Christoffer Fougstedt, Christian Häger, Lars J. Svensson, Henry D. Pfister, Per Larsson-Edefors:
ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters. - Wei Jiang, Yan Wu:
DFNet: Semantic Segmentation on Panoramic Images with Dynamic Loss Weights and Residual Fusion Block. - Tewodros Mulugeta Dagnew, Dalia Coppi, Marcello Pelillo, Rita Cucchiara:
A Graph Transduction Game for Multi-target Tracking. - Nima Hatami, Michaël Sdika, Hélène Ratiney:
Magnetic Resonance Spectroscopy Quantification using Deep Learning. - Yutaka Nagashima, Yilun He:
PaMpeR: Proof Method Recommendation System for Isabelle/HOL. - Will Norcliffe-Brown, Efstathios Vafeias, Sarah Parisot:
Learning Conditioned Graph Structures for Interpretable Visual Question Answering. - Sepideh Shamsizadeh, Sama Goliaei, Zahra Razaghi-Moghadam:
CAMIRADA: Cancer microRNA association discovery algorithm, a case study on breast cancer. - Felipe S. Abrahão, Klaus Wehmuth, Artur Ziviani:
Emergent Open-Endedness from Contagion of the Fittest. - Daniele Cesarini, Andrea Bartolini, Pietro Bonfà, Carlo Cavazzoni, Luca Benini:
COUNTDOWN - three, two, one, low power! A Run-time Library for Energy Saving in MPI Communication Primitives. - Subham S. Sahoo, Christoph H. Lampert, Georg Martius:
Learning Equations for Extrapolation and Control. - Frans A. Oliehoek, Rahul Savani
Beyond Local Nash Equilibria for Adversarial Networks. - Ahmed Arafa, Jing Yang, Sennur Ulukus, H. Vincent Poor:
Age-Minimal Transmission for Energy Harvesting Sensors with Finite Batteries: Online Policies. - Xiang Yan, Syed Zulqarnain Gilani, Hanlin Qin, Ajmal Mian:
Unsupervised Deep Multi-focus Image Fusion. - Anton Salikhmetov:
Upward confluence in the interaction calculus. - Andrea Bissoli, Fabrizio d'Amore:
Authentication as a service: Shamir Secret Sharing with byzantine components. - Rafael Freitas Reale, Romildo Martins da Silva Bezerra, Joberto S. B. Martins
G-BAM: A Generalized Bandwidth Allocation Model for IP/MPLS/DS-TE Networks. - Eliot Brenner, Jun Zhao, Aliasgar Kutiyanawala, Zheng Yan:
End-to-End Neural Ranking for eCommerce Product Search: an application of task models and textual embeddings. - James Browne, Tyler M. Tomita, Disa Mhembere, Randal C. Burns, Joshua T. Vogelstein:
Forest Packing: Fast, Parallel Decision Forests. - Nicolae Paladi, Linus Karlsson, Khalid Elbashir:
Trust Anchors in Software Defined Networks. - Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification. - Yi Wei, Junlin Yu, Tat M. Lok, Lin Gao:
A Novel Mobile Data Contract Design with Time Flexibility. - Justyna Medrek, Christian Otto, Ralph Ewerth:
Recommending Scientific Videos based on Metadata Enrichment using Linked Open Data. - Faqir Zarrar Yousaf, Michael Bredel, Sibylle Schaller, Fabian Schneider:
NFV and SDN - Key Technology Enablers for 5G Networks. - Luka Petrovic, Ivan Markovic, Marija Seder:
Multi-agent Gaussian Process Motion Planning via Probabilistic Inference. - Kunal Garg, Dimitra Panagou:
Hybrid Coordination and Control for Multiagent Systems with Input Constraints. - Parisa Hassanzadeh, Antonia M. Tulino, Jaime Llorca, Elza Erkip:
Rate-Memory Trade-Off for Caching and Delivery of Correlated Sources. - Jun Guo, Hamid Jafarkhani:
Movement-efficient Sensor Deployment in Wireless Sensor Networks with Limited Communication Range. - Tal Ben-Nun, Alice Shoshana Jakobovits, Torsten Hoefler:
Neural Code Comprehension: A Learnable Representation of Code Semantics. - Anton Kolonin, Ben Goertzel, Deborah Duong, Matt Iklé:
A Reputation System for Artificial Societies. - Gábor Szárnyas, József Marton, János Maginecz, Dániel Varró:
Reducing Property Graph Queries to Relational Algebra for Incremental View Maintenance. - Imon Banerjee, Hailey H. Choi, Terry S. Desser, Daniel L. Rubin:
A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization. - Wei Yan, Wei Jiang, Ahmed Rahmani, Qiang Zhan:
Motion Planning for a Humanoid Mobile Manipulator System. - Neeraj Varshney, Prabhat Kumar Sharma, Mohamed-Slim Alouini
Opportunistic Scheduling in Underlay Cognitive Radio based Systems: User Selection Probability Analysis. - Matteo Fischetti, Iacopo Mandatelli, Domenico Salvagnin:
Faster SGD training by minibatch persistency. - Shyam Narayanan:
Deterministic O(1)-Approximation Algorithms to 1-Center Clustering with Outliers. - Tian Qi Chen, Yulia Rubanova, Jesse Bettencourt, David Duvenaud:
Neural Ordinary Differential Equations. - Yunho Jeon, Junmo Kim:
Constructing Fast Network through Deconstruction of Convolution. - Guangxiang Zhu, Chongjie Zhang:
Object-Oriented Dynamics Predictor. - Feng Tian, Jia Yue, Xing Wan, Kuo-Ming Chao, Qinghua Zheng:
Learning Unit State Recognition Based on Multi-channel Data Fusion. - Kate Rakelly, Evan Shelhamer, Trevor Darrell, Alexei A. Efros, Sergey Levine:
Few-Shot Segmentation Propagation with Guided Networks. - Maroua Tounsi, Ikram Moalla, Frank Lebourgeois, Adel M. Alimi:
Multilingual Scene Character Recognition System using Sparse Auto-Encoder for Efficient Local Features Representation in Bag of Features. - Dorian Tsai, Donald G. Dansereau, Thierry Peynot, Peter Corke:
Distinguishing Refracted Features using Light Field Cameras with Application to Structure from Motion. - Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan, Seyed Ali Amirshahi, Stella X. Yu:
Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability. - Shani Gamrian, Yoav Goldberg:
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation. - Xukun Li, Huaiyu Zhang, Doina Caragea, Muhammad Imran:
Localizing and Quantifying Damage in Social Media Images. - Ramón González, Karl Iagnemma:
DeepTerramechanics: Terrain Classification and Slip Estimation for Ground Robots via Deep Learning. - Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu:
Deep Sequence Learning with Auxiliary Information for Traffic Prediction. - Anh-Dzung Doan
G2D: from GTA to Data. - Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, James P. Ahrens, Trilce Estrada:
In situ TensorView: In situ Visualization of Convolutional Neural Networks. - Ahmed Taha, Moustafa Meshry, Xitong Yang, Yi-Ting Chen, Larry Davis:
Two Stream Self-Supervised Learning for Action Recognition. - Nils Strodthoff, Claas Strodthoff:
Detecting and interpreting myocardial infarctions using fully convolutional neural networks. - Georgios Detorakis, Travis Bartley, Emre Neftci:
Contrastive Hebbian Learning with Random Feedback Weights. - Tobias Menne, Ralf Schlüter, Hermann Ney:
Speaker Adapted Beamforming for Multi-Channel Automatic Speech Recognition. - Thomas Tanay, Jerone T. A. Andrews, Lewis D. Griffin:
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations. - (Withdrawn) Stochastic Geometry Analysis of Interference Coordination in NOMA-based Heterogeneous Networks.
- Aryan Mobiny, Hien Van Nguyen:
Fast CapsNet for Lung Cancer Screening. - Ruta Desai, Margarita Safonova, Katharina Mülling, Stelian Coros:
Automatic Design of Task-specific Robotic Arms. - Peter van Beek:
Improved Image Selection for Stack-Based HDR Imaging. - Vitali Petsiuk, Abir Das, Kate Saenko:
RISE: Randomized Input Sampling for Explanation of Black-box Models. - Yun Long, Xueyuan She, Saibal Mukhopadhyay:
HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems. - Zhiyu Sun, Jia Lu, Stephen Baek:
Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks. - Alexis Decurninge, Luis Garcia Ordóñez, Paul Ferrand, Gaoning He, Bojie Li, Wei Zhang, Maxime Guillaud:
CSI-based Outdoor Localization for Massive MIMO: Experiments with a Learning Approach. - Matús Sulír, Jaroslav Porubän:
Augmenting Source Code Lines with Sample Variable Values. - Meredith T. Niles, Benjamin F. Emery, Andrew J. Reagan, Peter Sheridan Dodds, Christopher M. Danforth:
Average individuals tweet more often during extreme events: An ideal mechanism for social contagion. - Luka Petrovic:
Motion planning in high-dimensional spaces. - Khanh Hung Hoang, Tu Bao Ho:
Learning Treatment Regimens from Electronic Medical Records. - Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara:
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study. - Andrew Kimmel, Rahul Shome, Zakary Littlefield, Kostas E. Bekris:
Fast, Anytime Motion Planning for Prehensile Manipulation in Clutter. - Pascal Schweitzer, Daniel Wiebking:
A unifying method for the design of algorithms canonizing combinatorial objects. - Yi Zhou, Liwen Hu, Jun Xing, Weikai Chen, Han-Wei Kung, Xin Tong, Hao Li:
Single-View Hair Reconstruction using Convolutional Neural Networks. - Bassam Bamieh, Maurice Filo:
An Input-Output Approach to Structured Stochastic Uncertainty. - Vasileios Giotsas:
CommunityWatch: The Swiss-Army Knife of BGP Anomaly Detection. - Julian Stecklina, Thomas Prescher:
LazyFP: Leaking FPU Register State using Microarchitectural Side-Channels. - Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network. - Sara Soltaninejad, Irene Cheng, Anup Basu:
Towards the identification of Parkinson's Disease using only T1 MR Images. - Yuanwei Li, Chin Pang Ho, Navtej Chahal, Roxy Senior, Meng-Xing Tang:
Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model. - Gustavo Botelho de Souza, João Paulo Papa, Aparecido Nilceu Marana:
On the Learning of Deep Local Features for Robust Face Spoofing Detection. - Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Chao Ma, Rasha Obeidat, Prasad Tadepalli:
Joint Neural Entity Disambiguation with Output Space Search. - Hedongliang Liu, Lukas Holzbaur, Antonia Wachter-Zeh:
Locality in Crisscross Error Correction. - Yuanwei Li, Chin Pang Ho, Matthieu Toulemonde, Navtej Chahal, Roxy Senior, Meng-Xing Tang:
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model. - Thibault Laugel, Xavier Renard, Marie-Jeanne Lesot, Christophe Marsala
Defining Locality for Surrogates in Post-hoc Interpretablity. - Eduardo Fonseca, Rong Gong, Xavier Serra:
A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification. - Shan Luo, Wenxuan Mou, Kaspar Althoefer, Hongbin Liu:
iCLAP: Shape Recognition by Combining Proprioception and Touch Sensing. - Matthew S. Brennan, Guy Bresler, Wasim Huleihel:
Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure. - Nguyen Vo, Kyumin Lee:
The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News. - Gopalan Nadathur, Yuting Wang:
Schematic Polymorphism in the Abella Proof Assistant. - Yichen Hu, Qing Wang, Peter Christen:
Developing a Temporal Bibliographic Data Set for Entity Resolution. - Takshi Gupta, Gaurav Choudhary, Vishal Sharma:
A Survey on the Security of Pervasive Online Social Networks (POSNs). - Mykhaylo Andriluka, Jasper R. R. Uijlings, Vittorio Ferrari:
Fluid Annotation: a human-machine collaboration interface for full image annotation. - Raj Gaire, Chigulapalli Sriharsha, Deepak Puthal, Hendra Wijaya, Jongkil Kim, Prateeksha Keshari, Rajiv Ranjan, Rajkumar Buyya, Ratan K. Ghosh, R. K. Shyamasundar, Surya Nepal:
Internet of Things (IoT) and Cloud Computing Enabled Disaster Management. - Raj Gaire, Ratan K. Ghosh, Jongkil Kim, Alexander Krumpholz, Rajiv Ranjan, R. K. Shyamasundar, Surya Nepal:
Crowdsensing and privacy in smart city applications. - David Alvarez-Melis, Tommi S. Jaakkola:
Towards Robust Interpretability with Self-Explaining Neural Networks. - Shilin Zhu, Xin Dong, Hao Su:
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? - Richard Tomsett, Dave Braines, Dan Harborne, Alun D. Preece, Supriyo Chakraborty:
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems. - Chirag Balakrishna, Sarshar Dadashzadeh, Sara Soltaninejad:
Automatic detection of lumen and media in the IVUS images using U-Net with VGG16 Encoder. - Yanan Sui, Vincent Zhuang, Joel W. Burdick, Yisong Yue:
Stagewise Safe Bayesian Optimization with Gaussian Processes. - Yazhou Tu, Zhiqiang Lin, Insup Lee, Xiali Hei:
Injected and Delivered: Fabricating Implicit Control over Actuation Systems by Spoofing Inertial Sensors. - Javier Ribera, David Güera, Yuhao Chen, Edward J. Delp:
Weighted Hausdorff Distance: A Loss Function For Object Localization. - Qifa Yan, Sheng Yang, Michèle A. Wigger:
Storage, Computation, and Communication: A Fundamental Tradeoff in Distributed Computing. - Jaehong Kim, Sungeun Hong, Yongseok Choi, Jiwon Kim:
Doubly Nested Network for Resource-Efficient Inference. - Celestine Dünner, Aurélien Lucchi, Matilde Gargiani, An Bian, Thomas Hofmann, Martin Jaggi:
A Distributed Second-Order Algorithm You Can Trust. - Sepehr Tabrizchi, Fazel Sharifi, Abdel-Hameed A. Badawy:
Energy Efficient Tri-State CNFET Ternary Logic Gates. - Arthur Jacot, Franck Gabriel, Clément Hongler:
Neural Tangent Kernel: Convergence and Generalization in Neural Networks. - Øystein Repp, Heri Ramampiaro:
Extracting News Events from Microblogs. - Kartik Gupta, Darius Burschka, Arnav Bhavsar:
Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints. - Maosheng Xiong, Nian Li, Zhengchun Zhou, Cunsheng Ding:
Weight distribution of cyclic codes with arbitrary number of generalized Niho type zeroes with corrigendum. - MohammadJavad Hajialikhani, MohammadMahdi Jahanara:
UniqueID: Decentralized Proof-of-Unique-Human. - Andreas Björklund, Thore Husfeldt:
Counting Shortest Two Disjoint Paths in Cubic Planar Graphs with an NC Algorithm. - Subhashis Banerjee, Sushmita Mitra, Anmol Sharma, B. Uma Shankar:
A CADe System for Gliomas in Brain MRI using Convolutional Neural Networks. - Somphong Jitman, Ekkasit Sangwisut, Patanee Udomkavanich:
Hulls of Cyclic Codes over Z4. - Michael Thoreau, Navinda Kottege:
Improving Online Multiple Object tracking with Deep Metric Learning. - Shunhua Jiang, Kasper Green Larsen:
A Faster External Memory Priority Queue with DecreaseKeys. - Constanza Riera, Pantelimon Stanica, Sugata Gangopadhyay:
Generalized bent Boolean functions and strongly regular Cayley graphs. - Anett Hoppe, Jascha Hagen, Helge Holzmann, Günter Kniesel, Ralph Ewerth:
An Analytics Tool for Exploring Scientific Software and Related Publications. - Jakub Lipcak, Bruno Rossi:
A Large-Scale Study on Source Code Reviewer Recommendation. - Andreas D. M. Gunawan, Hongwei Yan, Louxin Zhang:
The compressions of reticulation-visible networks are tree-child. - Erfan Aghasian
User's Privacy in Recommendation Systems Applying Online Social Network Data, A Survey and Taxonomy. - Patrik Feth, Mohammed Naveed Akram, René Schuster, Oliver Wasenmüller:
Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning. - Frank G. Glavin, Michael G. Madden:
Skilled Experience Catalogue: A Skill-Balancing Mechanism for Non-Player Characters using Reinforcement Learning. - Konstantin Avrachenkov, Arun Kadavankandy, Nelly Litvak:
Mean Field Analysis of Personalized PageRank with Implications for Local Graph Clustering. - Johnatan S. Oliveira, Gustavo Botelho de Souza, Anderson de Rezende Rocha, Flavio E. de Deus, Aparecido Nilceu Marana:
Cross-Domain Deep Face Matching for Real Banking Security Systems. - Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixão, Giuseppe Bianco, Rocco Oliveto:
Toxic Code Snippets on Stack Overflow. - Fabian L. Müller, Bernhard Jansen:
Large-Scale Demonstration of Precise Demand Response Provided by Residential Heating Systems. - Zhipeng Wu, Hui Tian, Xuzhen Zhu, Shuo Wang:
Optimization Matrix Factorization Recommendation Algorithm Based on Rating Centrality. - Ivo Düntsch, Günther Gediga, Hui Wang:
Approximation by filter functions. - Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Dynamic voting in multi-view learning for radiomics applications. - James Thorne, Andreas Vlachos:
Automated Fact Checking: Task formulations, methods and future directions. - Breton L. Minnehan, Andreas E. Savakis:
DEFRAG: Deep Euclidean Feature Representations through Adaptation on the Grassmann Manifold. - Mustafa Can Gursoy, Ertugrul Basar, Ali Emre Pusane, Tuna Tugcu:
Index Modulation for Molecular Communication via Diffusion Systems. - Hyeok Kong, Dokjun An, Douk Han:
Searching of interesting itemsets for negative association rules. - Jack Shannon, Marek Grzes:
Reinforcement Learning using Augmented Neural Networks. - Vivian Dos Santos Silva, André Freitas, Siegfried Handschuh:
Word Tagging with Foundational Ontology Classes: Extending the WordNet-DOLCE Mapping to Verbs. - Eun-Young Kang
Formal Specification & Analysis of Autonomous Systems in PrCCSL/Simulink Design Verifier. - Zuzana Majdisova, Václav Skala:
Radial Basis Function Approximations: Comparison and Applications. - Anthony Peter Young:
Notes on Abstract Argumentation Theory. - Vivian Dos Santos Silva, Siegfried Handschuh, André Freitas:
Categorization of Semantic Roles for Dictionary Definitions. - Amin Omidvar, Hui Jiang, Aijun An:
Using Neural Network for Identifying Clickbaits in Online News Media. - Gerhard Brewka, Jörg Pührer, Hannes Strass, Johannes Peter Wallner, Stefan Woltran:
Weighted Abstract Dialectical Frameworks: Extended and Revised Report. - Vivian Dos Santos Silva, Manuela Hürlimann, Brian Davis, Siegfried Handschuh, André Freitas:
Semantic Relation Classification: Task Formalisation and Refinement. - Paul Kinsler:
Stylized innovation: interrogating incrementally available randomised dictionaries. - Lei Ma, Fuyuan Zhang, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Yadong Wang:
Combinatorial Testing for Deep Learning Systems. - Chakkrit Tantithamthavorn, Surafel Lemma Abebe, Ahmed E. Hassan, Akinori Ihara, Kenichi Matsumoto:
The Impact of IR-based Classifier Configuration on the Performance and the Effort of Method-Level Bug Localization. - Shigeyuki Sato, Wei Hao, Kiminori Matsuzaki:
Parallelization of XPath Queries using Modern XQuery Processors. - Julian Kreiser, Pedro Hermosilla, Timo Ropinski:
Void Space Surfaces to Convey Depth in Vessel Visualizations. - Vivian Dos Santos Silva, André Freitas, Siegfried Handschuh:
Building a Knowledge Graph from Natural Language Definitions for Interpretable Text Entailment Recognition. - Shaull Almagor, Brynmor Chapman, Mehran Hosseini, Joël Ouaknine, James Worrell:
Effective Divergence Analysis for Linear Recurrence Sequences. - Shabab Bazrafkan, Peter Corcoran:
Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN), Multi Class Scenarios. - Francisco Manuel Castro, Manuel Jesús Marín-Jiménez, Nicolás Guil, Nicolas Pérez de la Blanca:
Multimodal feature fusion for CNN-based gait recognition: an empirical comparison. - Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall, Luc Van Gool:
Spatio-Temporal Channel Correlation Networks for Action Classification. - Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Q. Weinberger:
An empirical study on evaluation metrics of generative adversarial networks. - Giuseppe De Nittis, Nicola Gatti:
How to Maximize the Spread of Social Influence: A Survey. - Francesco Gringoli, Douglas J. Leith:
Low Delay Rate Allocation in WLANs Using Aggregation. - Lixing Chen, Pan Zhou, Liang Gao, Jie Xu:
Adaptive Fog Configuration for the Industrial Internet of Things. - Apratim Bhattacharyya, Bernt Schiele, Mario Fritz:
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective. - Per Welander, Simon Karlsson, Anders Eklund:
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT. - Alexander V. Khvostikov, Andrey S. Krylov, Olga Kharlova
Histological images segmentation of mucous glands. - Anurag Illendula, Manish Reddy Yedulla:
Learning Emoji Embeddings using Emoji Co-occurrence Network Graph. - Valentin Barrière, Chloé Clavel, Slim Essid:
Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields. - Titouan Parcollet, Ying Zhang, Mohamed Morchid, Chiheb Trabelsi, Georges Linarès, Renato De Mori, Yoshua Bengio:
Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition. - Eleftherios Lampiris, Petros Elia:
Full Coded Caching Gains for Cache-less Users. - Andreia P. Costa
Attitudes of Children with Autism towards Robots: An Exploratory Study. - Maria Blancas-Muñoz, Vasiliki Vouloutsi, Riccardo Zucca, Anna Mura, Paul F. M. J. Verschure:
Hints vs Distractions in Intelligent Tutoring Systems: Looking for the proper type of help. - Dongruo Zhou, Pan Xu, Quanquan Gu:
Stochastic Nested Variance Reduction for Nonconvex Optimization. - Roman Schaffert, Jian Wang, Peter Fischer, Anja Borsdorf, Andreas K. Maier:
Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration. - Nicolás Robinson-García, Cassidy R. Sugimoto, Dakota S. Murray, Alfredo Yegros-Yegros, Vincent Larivière, Rodrigo Costas:
Scientific mobility indicators in practice: International mobility profiles at the country level. - Gökhan Yildirim, Calvin Seward, Urs Bergmann:
Disentangling Multiple Conditional Inputs in GANs. - Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani:
Learning Neural Parsers with Deterministic Differentiable Imitation Learning. - Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Conditional Image Generation for Learning the Structure of Visual Objects. - Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig:
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing. - Khan Mashiur Rahman:
A Narrative Literature Review and E-Commerce Website Research. - Shravan Krishnan, Govind Aadithya R, Rahul Ramakrishnan, Vijay Arvindh, Sivanathan K:
A Look at Motion Planning for Autonomous Vehicles at an Intersection. - David Kügler
How Bad is Good enough: Noisy annotations for instrument pose estimation. - En Li, Zhi Zhou, Xu Chen:
Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy. - Olga Barkova, Natalia Pysarevska, Oleg Alienin, Serhii Hamotskyi, Nikita Gordienko, Vladyslav Sarnatskyi, Vadym Ovcharenko, Mariia Tkachenko, Yuri G. Gordienko, Sergii G. Stirenko:
Gamification for Education of the Digitally Native Generation by Means of Virtual Reality, Augmented Reality, Machine Learning, and Brain-Computing Interfaces in Museums. - Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli:
Hide and Seek tracker: Real-time recovery from target loss. - Liangzhen Lai, Naveen Suda:
Rethinking Machine Learning Development and Deployment for Edge Devices. - Ghurumuruhan Ganesan:
Correcting an ordered deletion-erasure. - Giuseppe Carlo Calafiore, Stephane Gaubert, Corrado Possieri:
Log-sum-exp neural networks and posynomial models for convex and log-log-convex data. - Jan Matas, Stephen James, Andrew J. Davison:
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation. - Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter
RUDDER: Return Decomposition for Delayed Rewards. - Gauri Jagatap, Chinmay Hegde:
Learning ReLU Networks via Alternating Minimization. - Soumya Sarkar, Sandipan Sikdar, Animesh Mukherjee, Sanjukta Bhowmick:
Using Core-Periphery Structure to Predict High Centrality Nodes in Time-Varying Networks. - Benjamin Burchfiel, George Dimitri Konidaris:
Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision. - Carlos F. Borges:
An Improved Formula for Jacobi Rotations. - Zuzana Majdisova, Václav Skala:
Big Geo Data Surface Approximation using Radial Basis Functions: A Comparative Study. - Áron Monszpart, Paul Guerrero, Duygu Ceylan, Ersin Yumer, Niloy J. Mitra:
iMapper: Interaction-guided Joint Scene and Human Motion Mapping from Monocular Videos. - Moacir Antonelli Ponti, Gabriel B. Paranhos da Costa:
Como funciona o Deep Learning. - Yanqi Zhou, Siavash Ebrahimi, Sercan Ömer Arik, Haonan Yu, Hairong Liu, Greg Diamos:
Resource-Efficient Neural Architect. - Charles Costello, Ruixi Lin, Vishwas Mruthyunjaya, Bettina Bolla, Charles Jankowski:
Multi-Layer Ensembling Techniques for Multilingual Intent Classification. - Ali Yazdandoost, Peyman Khazaei, Rahim Kamali, Salar Saadatian:
An Efficient Scheduling for Security Constraint Unit Commitment Problem Via Modified Genetic Algorithm Based on Multicellular Organisms Mechanisms. - Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, Nazli Goharian:
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses. - Chrisantha Thomas Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu:
Meta-Learning by the Baldwin Effect. - Scott Kirkpatrick, Ron Bekkerman, Adi Zmirli, Francesco Malandrino:
Mining the Air - for Research in Social Science and Networking Measurement. - Ha-Vu Tran, Georges Kaddoum, Kien T. Truong:
Resource Allocation in SWIPT Networks under a Non-Linear Energy Harvesting Model: Power Efficiency, User Fairness, and Channel Non-Reciprocity. - Amy Zhang
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning. - Peter D. Turney:
Conditions for Major Transitions in Biological and Cultural Evolution. - Myungha Jang, James Allan:
Explaining Controversy on Social Media via Stance Summarization. - Avik Ray, Sujay Sanghavi, Sanjay Shakkottai:
Searching for a Single Community in a Graph. - Gabriel Spadon, Gabriel P. Gimenes, José F. Rodrigues Jr.:
Topological street-network characterization through feature-vector and cluster analysis. - Xinyi Wang, Salvador Aguiñaga, Tim Weninger, David Chiang:
Growing Better Graphs With Latent-Variable Probabilistic Graph Grammars. - Tiago P. Peixoto:
Reconstructing networks with unknown and heterogeneous errors. - Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz, Alfred O. Hero III, Romain Couillet, Indika Rajapakse:
Latent heterogeneous multilayer community detection. - Daniel Huang, Greg Morrisett, Bas Spitters
An Application of Computable Distributions to the Semantics of Probabilistic Programs. - Josef Michalek, Jan Vanek:
A Survey of Recent DNN Architectures on the TIMIT Phone Recognition Task. - Lucy Lu Wang
Ontology Alignment in the Biomedical Domain Using Entity Definitions and Context. - Gabriela Ramírez-de-la-Rosa, Esaú Villatoro-Tello, Héctor Jiménez-Salazar:
TxPI-u: A Resource for Personality Identification of Undergraduates. - Tobias Eichinger:
The Corpus Replication Task. - Dominic Etienne Charrier, Benjamin Hazelwood, Tobias Weinzierl:
Enclave Tasking for Discontinuous Galerkin Methods on Dynamically Adaptive Meshes. - Grey Ballard, Koby Hayashi, Ramakrishnan Kannan:
Parallel Nonnegative CP Decomposition of Dense Tensors. - Alex D. Pon, Oles Andrienko, Ali Harakeh, Steven Lake Waslander:
A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection. - Dominique Beaini, Sofiane Achiche, Yann-Seing Law-Kam Cio, Maxime Raison:
Novel Convolution Kernels for Computer Vision and Shape Analysis based on Electromagnetism. - Paul Landes, Barbara Di Eugenio:
A Supervised Approach To The Interpretation Of Imperative To-Do Lists. - Joseph M. Antognini, Matt Hoffman, Ron J. Weiss:
Synthesizing Diverse, High-Quality Audio Textures. - Razan Tajeddine, Oliver W. Gnilke, David A. Karpuk, Ragnar Freij-Hollanti, Camilla Hollanti:
Private Information Retrieval from Coded Storage Systems with Colluding, Byzantine, and Unresponsive Servers. - Guido de Croon, Christophe De Wagter:
Learning what is above and what is below: horizon approach to monocular obstacle detection. - Antonio Uva, Daniele Bonadiman, Alessandro Moschitti:
Injecting Relational Structural Representation in Neural Networks for Question Similarity. - Yu Sun, Ulugbek S. Kamilov:
Stability of Scattering Decoder For Nonlinear Diffractive Imaging. - Eran Simhon, David Starobinski:
Equilibrium and Learning in Queues with Advance Reservations. - Tong-Xing Zheng, Hui-Ming Wang, Jinhong Yuan:
Physical-Layer Security in Cache-Enabled Cooperative Small Cell Networks Against Randomly Distributed Eavesdroppers. - Ayan Sinha, Zhao Chen, Vijay Badrinarayanan, Andrew Rabinovich:
Gradient Adversarial Training of Neural Networks. - Manohar Karki, Qun Liu, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay:
Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters. - Saif Alabachi, Gita Sukthankar:
Intelligently Assisting Human-Guided Quadcopter Photography. - Yingjie Hu, Krzysztof Janowicz:
An empirical study on the names of points of interest and their changes with geographic distance. - Alessandra Cervone, Evgeny A. Stepanov, Giuseppe Riccardi:
Coherence Models for Dialogue. - Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Joshua B. Tenenbaum, Daniel L. K. Yamins:
Flexible Neural Representation for Physics Prediction. - David Alvarez-Melis, Tommi S. Jaakkola:
On the Robustness of Interpretability Methods. - Jiaxiang Wu, Weidong Huang, Junzhou Huang, Tong Zhang:
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization. - Prashan Madumal, Tim Miller, Frank Vetere
Towards a Grounded Dialog Model for Explainable Artificial Intelligence. - (Withdrawn) Mechanism Design for Two-Opposite-Facility Location Games with Penalties on Distance.
- Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth R. Koedinger:
Learning Cognitive Models using Neural Networks. - Matthew M. Peet:
A Convex Formulation of the H∞-Optimal Controller Synthesis Problem for Multi-Delay Systems. - Shaohan Huang, Yu Wu, Furu Wei, Ming Zhou:
Dictionary-Guided Editing Networks for Paraphrase Generation. - Raja Asim:
Finding Original Image Of A Sub Image Using CNNs. - Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang:
GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest. - Steve Heim, Alexander Spröwitz:
Beyond Basins of Attraction: Evaluating Robustness of Natural Dynamics. - Khaled Ammar, M. Tamer Özsu:
Experimental Analysis of Distributed Graph Systems. - Martin Biehl, Christian Guckelsberger, Christoph Salge, Simón C. Smith, Daniel Polani:
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop. - Thomas B. Preußer, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott:
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices. - Daochang Liu, Tingting Jiang:
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification. - Ali Ahmed, Alireza Aghasi, Paul Hand:
Blind Deconvolutional Phase Retrieval via Convex Programming. - Kartik Lakhotia, Sourav Pati, Rajgopal Kannan, Viktor K. Prasanna:
GPOP: A cache- and work-efficient framework for Graph Processing Over Partitions. - Thomas B. Preußer:
Generic and Universal Parallel Matrix Summation with a Flexible Compression Goal for Xilinx FPGAs. - Dayiheng Liu, Jiancheng Lv, Feng He, Yifan Pu:
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation. - Damián Marelli, Tianju Sui, Eduardo Rohr, Minyue Fu:
Stability of Kalman Filtering with a Random Measurement Equation: Application to Sensor Scheduling with Intermittent Observations. - Jonas Prellberg, Oliver Kramer:
Lamarckian Evolution of Convolutional Neural Networks. - Janardan Misra, Shubhashis Sengupta, Divya Rawat, Milind Savagaonkar, Sanjay Podder:
Data-Driven Application Maintenance: Views from the Trenches. - Xueqi Ma, Weifeng Liu, Shuying Li, Yicong Zhou:
Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition. - Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou:
Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition. - Moshe Kravchik, Asaf Shabtai:
Anomaly detection; Industrial control systems; convolutional neural networks. - Mehdi Baniasadi, Maryam Baniasadi, Gabriele Pozzetti, Bernhard Peters:
A numerical study on the softening process of iron ore particles in the cohesive zone of an experimental blast furnace using a coupled CFD-DEM method. - Johannes Hellrich, Sven Buechel, Udo Hahn:
Inducing Affective Lexical Semantics in Historical Language. - Cordian Riener, Mohab Safey El Din:
Real root finding for equivariant semi-algebraic systems. - Yufei Ye, Xiaoqin Ren, Jin Wang, Lingxiao Xu, Wenxia Guo, Wenqiang Huang, Wenhong Tian:
A New Approach for Resource Scheduling with Deep Reinforcement Learning. - Guillaume Favelier, Charles Gueunet, Attila Gyulassy, Julien Kitware, Joshua A. Levine, Jonas Lukasczyk, Daisuke Sakurai, Maxime Soler, Julien Tierny, Will Usher, Qi Wu:
Topological Data Analysis Made Easy with the Topology ToolKit. - Tangliu Wen:
Strict Linearizability and Abstract Atomicity. - Romain Brégier, Frédéric Devernay, Laetitia Leyrit, James L. Crowley:
Symmetry Aware Evaluation of 3D Object Detection and Pose Estimation in Scenes of Many Parts in Bulk. - Chao Liu, Zhenzhen Zheng, Jinkang Jia:
Behavior-based evaluation of session satisfaction. - Alexandru Popa, Andrei Tanasescu:
An output-sensitive algorithm for the minimization of 2-dimensional String Covers. - Alexandru Popa, Andrei Tanasescu:
Hardness and algorithmic results for the approximate cover problem. - Nicolas Gastineau, Olivier Togni:
Coloring of the dth power of the face-centered cubic grid. - Chaiyong Ragkhitwetsagul, Jens Krinke, Rocco Oliveto:
Awareness and Experience of Developers to Outdated and License-Violating Code on Stack Overflow: An Online Survey. - Alessandro Masullo, Tilo Burghardt, Dima Damen, Sion L. Hannuna, Víctor Ponce-López
CaloriNet: From silhouettes to calorie estimation in private environments. - Radhika Mittal, Alexander Shpiner, Aurojit Panda, Eitan Zahavi, Arvind Krishnamurthy, Sylvia Ratnasamy, Scott Shenker:
Revisiting Network Support for RDMA. - Dori Peleg:
A convex method for classification of groups of examples. - Parosh Aziz Abdulla, Mohamed Faouzi Atig, Radu Ciobanu, Richard Mayr, Patrick Totzke:
Universal Safety for Timed Petri Nets is PSPACE-complete. - Veronika Cheplygina, Josien P. W. Pluim:
Crowd disagreement of medical images is informative. - Vincent Cohen-Addad, Frederik Mallmann-Trenn, Claire Mathieu:
Instance-Optimality in the Noisy Value-and Comparison-Model - Accept, Accept, Strong Accept: Which Papers get in? - Veronika Cheplygina, David M. J. Tax:
Characterizing multiple instance datasets. - Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun:
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures. - Hussein T. Al-Natsheh, Lucie Martinet, Fabrice Muhlenbach, Fabien Rico, Djamel A. Zighed:
Metadata Enrichment of Multi-Disciplinary Digital Library: A Semantic-based Approach. - Julia M. Buhmann, Renate Krause, Rodrigo Ceballos Lentini, Nils Eckstein, Matthew Cook, Srinivas C. Turaga, Jan Funke:
Synaptic partner prediction from point annotations in insect brains. - (Withdrawn) Proving Linearizability Using Reduction.
- Marcelo Tallis, Pranjul Yadav:
Reacting to Variations in Product Demand: An Application for Conversion Rate (CR) Prediction in Sponsored Search. - Mohammed S. Al-Abiad, Ahmed Douik, Sameh Sorour, Md. Jahangir Hossain:
Throughput Maximization in Cloud-Radio Access Networks using Rate-Aware Network Coding. - Alexandru Popa, Andrei Tanasescu:
A connection between String Covers and Cover Deterministic Finite Tree Automata Minimization. - Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Omid Kavehei:
Semi-supervised Seizure Prediction with Generative Adversarial Networks. - Stefan Lattner, Maarten Grachten, Gerhard Widmer:
Learning Transposition-Invariant Interval Features from Symbolic Music and Audio. - Fabian L. Müller, Stefan Woerner, John Lygeros:
Unlocking the Potential of Flexible Energy Resources to Help Balance the Power Grid. - Linda Chen, Niranjan Saikumar, S. Hassan HosseinNia:
Beyond the Waterbed Effect: Development of Robust Fractional Order Reset Control. - Edouard Pineau, Marc Lelarge:
InfoCatVAE: Representation Learning with Categorical Variational Autoencoders. - Ching Tarn, Yinan Zhang, Ye Feng:
Sampling Clustering. - Eric Müller-Budack, Kader Pustu-Iren, Sebastian Diering, Ralph Ewerth:
Finding Person Relations in Image Data of the Internet Archive. - H. M. W. Verbeek, Renata Medeiros de Carvalho:
Log Skeletons: A Classification Approach to Process Discovery. - A. J. Piergiovanni, Michael S. Ryoo:
Learning Shared Multimodal Embeddings with Unpaired Data. - Girum Ketema Teklemariam, Floris Van Den Abeele, Ingrid Moerman, Jeroen Hoebeke:
Transparent Recovery of Dynamic States on Constrained Nodes through Deep Packet Inspection. - Mohamad Moussa, Marek Rychlik:
Beyond RAID 6 - an Efficient Systematic Code Protecting Against Multiple Errors, Erasures, and Silent Data Corruption. - Moritz Wolter, Angela Yao:
Gated Complex Recurrent Neural Networks. - Krishnendu Rarhi, Rhea Bonnerji, Simanta Sarkar, Abhishek Bhattacharya:
COZMO-A New Lightweight Stream Cipher. - Pallavi Athe, Yatindra Nath Singh:
Impact Zone Analysis of p-Cycle. - Arka Ujjal Dey, Suman K. Ghosh, Ernest Valveny:
Don't only Feel Read: Using Scene text to understand advertisements. - Pablo Aragón, Diego Sáez-Trumper, Miriam Redi, Scott A. Hale, Vicenç Gómez, Andreas Kaltenbrunner:
Online Petitioning Through Data Exploration and What We Found There: A Dataset of Petitions from Avaaz.org. - Markus Chimani, Tilo Wiedera:
Cycles to the Rescue! Novel Constraints to Compute Maximum Planar Subgraphs Fast. - Zhimeng Jiang, Chen Gong, Zhengyuan Xu:
Clipping Noise and Power Allocation for OFDM-Based Optical Wireless Communication Using Photon Detection. - Duc A. Hoang, Amanj Khorramian, Ryuhei Uehara:
Shortest Reconfiguration Sequence for Sliding Tokens on Spiders. - Clara Fernandez-Labrador, Alejandro Pérez-Yus, Gonzalo López-Nicolás, José Jesús Guerrero:
Layouts from Panoramic Images with Geometry and Deep Learning. - Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments. - Michael Moeller, Otmar Loffeld, Juergen Gall, Felix Krahmer:
Are good local minima wide in sparse recovery? - Philip Amortila, Guillaume Rabusseau:
Learning Graph Weighted Models on Pictures. - Alessandro Antonucci, Alessandro Facchini:
A Credal Extension of Independent Choice Logic. - Nicholas Sim:
Optimising finite-difference methods for PDEs through parameterised time-tiling in Devito. - Seid Muhie Yimam, Chris Biemann:
Par4Sim - Adaptive Paraphrasing for Text Simplification. - Anand Avati, Tony Duan, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng:
Countdown Regression: Sharp and Calibrated Survival Predictions. - André Silva, Ricardo Mendonça, Pedro F. Santana:
Monocular Trail Detection and Tracking Aided by Visual SLAM for Small Unmanned Aerial Vehicles. - Luciano A. Abriata:
Towards Commodity, Web-Based Augmented Reality Applications for Research and Education in Chemistry and Structural Biology. - Rena Bakhshi
Examining key features and platforms of IoT. - Saeed Izadi, Kathleen P. Moriarty, Ghassan Hamarneh:
Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements? - Kiri L. Wagstaff, Jake H. Lee
Interpretable Discovery in Large Image Data Sets. - Raghuraman Krishnamoorthi:
Quantizing deep convolutional networks for efficient inference: A whitepaper. - Alessandro Oltramari, Alexander Kott:
Towards a Reconceptualisation of Cyber Risk: An Empirical and Ontological Study. - Deepak Pathak, Yide Shentu, Dian Chen
Learning Instance Segmentation by Interaction. - Aditya Asgaonkar, Bhaskar Krishnamachari:
Solving the Buyer and Seller's Dilemma: A Dual-Deposit Escrow Smart Contract for Provably Cheat-Proof Delivery and Payment for a Digital Good without a Trusted Mediator. - Jun Hyung Shin:
Novel Selectivity Estimation Strategy for Modern DBMS. - Cosimo Della Santina, Dominic Lakatos, Antonio Bicchi, Alin Albu-Schäffer:
Using Nonlinear Normal Modes for Execution of Efficient Cyclic Motions in Soft Robots. - Nati Linial, Jonathan Mosheiff:
On the weight distribution of random binary linear codes. - Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen:
On the Equivalence between Objective Intelligibility and Mean-Squared Error for Deep Neural Network based Speech Enhancement. - Chiori Hori, Huda AlAmri, Jue Wang, Gordon Wichern, Takaaki Hori, Anoop Cherian, Tim K. Marks, Vincent Cartillier, Raphael Gontijo Lopes, Abhishek Das, Irfan Essa, Dhruv Batra, Devi Parikh:
End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features. - Kartik Nagar, Suresh Jagannathan:
Automated Detection of Serializability Violations under Weak Consistency. - Aqsa Kashaf, Carolina Zarate, Hanrou Wang, Yuvraj Agarwal, Vyas Sekar:
Oh, What a Fragile Web We Weave: Third-party Service Dependencies In Modern Webservices and Implications. - Zahra Mirikharaji, Ghassan Hamarneh:
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation. - Andrés M. Rueda-Ramírez, Gonzalo Rubio, Esteban Ferrer, Eusebio Valero:
Truncation Error Estimation in the p-Anisotropic Discontinuous Galerkin Spectral Element Method. - Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Deep Orthogonal Representations: Fundamental Properties and Applications. - Ashkan Aghdai, Cing-yu Chu, Yang Xu, David H. Dai, Jun Xu, H. Jonathan Chao:
Spotlight: Scalable Transport Layer Load Balancing for Data Center Networks. - David Kavaler, Premkumar T. Devanbu, Vladimir Filkov:
Whom Are You Going to Call?: Determinants of @-Mentions in GitHub Discussions. - Lin Yan, Yaodong Zhao, Paul Rosen, Carlos Scheidegger, Bei Wang:
Homology-Preserving Dimensionality Reduction via Manifold Landmarking and Tearing. - Hareesh Bahuleyan, Lili Mou, Kartik Vamaraju, Hao Zhou, Olga Vechtomova:
Probabilistic Natural Language Generation with Wasserstein Autoencoders. - Rene Bidart, Alexander Wong:
TriResNet: A Deep Triple-stream Residual Network for Histopathology Grading. - Kaijie Feng, KunHong Liu, Beizhan Wang:
A Novel ECOC Algorithm with Centroid Distance Based Soft Coding Scheme. - Henrique Ferraz de Arruda, Vanessa Q. Marinho, Luciano da F. Costa, Diego R. Amancio:
Paragraph-based complex networks: application to document classification and authenticity verification. - Andrew S. Lan, Jonathan C. Spencer, Ziqi Chen, Christopher G. Brinton, Mung Chiang:
Personalized Thread Recommendation for MOOC Discussion Forums. - Jasmine DeHart, Christan Grant:
Visual Content Privacy Leaks on Social Media Networks. - Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun:
Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization. - Sylvie Davies:
A General Approach to State Complexity of Operations: Formalization and Limitations. - Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen, Kris M. Kitani:
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning. - Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang:
Video Inpainting by Jointly Learning Temporal Structure and Spatial Details. - Zhongping Ji, Xiao Qi, Yigang Wang, Gang Xu, Peng Du, Qing Wu:
Shape-from-Mask: A Deep Learning Based Human Body Shape Reconstruction from Binary Mask Images. - Atinuke Ademola-Idowu, Baosen Zhang:
Optimal Design of Virtual Inertia and Damping Coefficients for Virtual Synchronous Machines. - Bruno Bentzen
Cubical informal type theory: the higher groupoid structure. - Saeed Nozhati, Bruce R. Ellingwood, Hussam Mahmoud, Yugandhar Sarkale, Edwin K. P. Chong, Nathanael Rosenheim:
An Approximate Dynamic Programming Approach to Community Recovery Management (Extended Abstract). - Xiaohan Fei, Stefano Soatto:
Visual-Inertial Object Detection and Mapping. - Fan Wu, Kai Tian, Jihong Guan, Shuigeng Zhou:
Global Semantic Consistency for Zero-Shot Learning. - Sabidur Rahman, Hyunsu Mun, Hyongjin Lee, Youngseok Lee, Massimo Tornatore, Biswanath Mukherjee:
Insights from Analysis of Video Streaming Data to Improve Resource Management. - Juan C. Quiroz, Elena Geangu, Min Hooi Yong:
Emotion-Recognition Using Smart Watch Sensor Data: Mixed-Design Study. - Nikitha Vallurupalli, Sriharsha Annamaneni, Girish Varma, C. V. Jawahar, Manu Mathew, Soyeb Nagori:
Efficient Semantic Segmentation using Gradual Grouping. - Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana:
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention. - Olivier Hermant
Polarized Rewriting and Tableaux in B Set Theory. - Yinghui Wang, Wenxiao Zhao, Yiguang Hong, Mohsen Zamani:
Subgradient-Free Stochastic Optimization Algorithm for Non-smooth Convex Functions over Time-Varying Networks. - Simon M. Lucas:
Game AI Research with Fast Planet Wars Variants. - Vahid Roostapour, Mojgan Pourhassan, Frank Neumann:
Analysis of Evolutionary Algorithms in Dynamic and Stochastic Environments. - Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. - Lennart Blanken, Tom Oomen:
Multivariable Iterative Learning Control Design Procedures: from Decentralized to Centralized, Illustrated on an Industrial Printer. - Yihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu Zhu, Yong Cao:
Learning-to-Ask: Knowledge Acquisition via 20 Questions. - Giacomo Spigler:
The Temporal Singularity: time-accelerated simulated civilizations and their implications. - Savas Özkan, Gozde Bozdagi Akar:
Deep Spectral Convolution Network for HyperSpectral Unmixing. - Federico Magliani, Andrea Prati:
An accurate retrieval through R-MAC+ descriptors for landmark recognition. - Davide Maltoni, Vincenzo Lomonaco:
Continuous Learning in Single-Incremental-Task Scenarios. - Omair Hassaan, Abeera Shamail, Zain Butt, Murtaza Taj:
Point cloud segmentation using hierarchical tree for architectural models. - Jafar Kazemi, Sadjaad Ozgoli:
Real-time gait planner for human walking using a lower limb exoskeleton and its implementation on Exoped robot. - Savas Özkan, Akin Ozkan:
KinshipGAN: Synthesizing of Kinship Faces From Family Photos by Regularizing a Deep Face Network. - Shervin Minaee, Imed Bouazizi, Prakash Kolan, Hossein Najafzadeh:
Ad-Net: Audio-Visual Convolutional Neural Network for Advertisement Detection In Videos. - Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis:
Deploying Deep Neural Networks in the Embedded Space. - Martin Karu, Tanel Alumäe:
Weakly Supervised Training of Speaker Identification Models. - Fangzhou Wu, Li Chen, Nan Zhao, Yunfei Chen, F. Richard Yu, Guo Wei:
Computation over Wide-Band MAC: Improved Achievable Rate through Sub-Function Allocation. - Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions. - Adam Hartwell, Visakan Kadirkamanathan, Sean R. Anderson:
Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals. - Somsubhra Barik, Haris Vikalo:
Matrix Completion and Performance Guarantees for Single Individual Haplotyping. - Manuel Machado Martins, Markus Pfeiffer:
Francy - An Interactive Discrete Mathematics Framework for GAP. - Einar Broch Johnsen, Martin Steffen, Johanna Beate Stumpf:
Assumption Commitment Types for Resource Management in Virtually Timed Ambients. - Paul Théron, Alexander Kott, Martin Drasar, Krzysztof Rzadca, Benoît Leblanc, Mauno Pihelgas, Luigi V. Mancini, Agostino Panico:
Towards an Active, Autonomous and Intelligent Cyber Defense of Military Systems: the NATO AICA Reference Architecture. - Behrooz Razeghi, Slava Voloshynovskiy, Sohrab Ferdowsi, Dimche Kostadinov:
Privacy-Preserving Identification via Layered Sparse Code Design: Distributed Servers and Multiple Access Authorization. - (Withdrawn) Simulation Study on a New Peer Review Approach.
- Zhiyong Wang, Jinxiang Chai, Shihong Xia:
Combining Recurrent Neural Networks and Adversarial Training for Human Motion Synthesis and Control. - Claudio Menghi, Marcello M. Bersani, Matteo Rossi, Pierluigi San Pietro:
A Flexible Approach for Checking Timed Automata on Continuous Time Semantics. - Stefan Lattner, Maarten Grachten, Gerhard Widmer:
A Predictive Model for Music Based on Learned Interval Representations. - Yann Traonmilin, Samuel Vaiter, Rémi Gribonval:
Is the 1-norm the best convex sparse regularization? - Dani Dorfman, Haim Kaplan, László Kozma, Seth Pettie, Uri Zwick:
Improved bounds for multipass pairing heaps and path-balanced binary search trees. - Mostafa Dehghani, Jaap Kamps:
Learning to Rank from Samples of Variable Quality. - Boyu Wang, Songtao Feng, Jing Yang:
To Skip or to Switch? Minimizing Age of Information under Link Capacity Constraint. - Ankit Chauhan, Pascal Lenzner, Louise Molitor:
Schelling Segregation with Strategic Agents. - Andrew Slavin Ross, Weiwei Pan, Finale Doshi-Velez:
Learning Qualitatively Diverse and Interpretable Rules for Classification. - Hayder O. Alwan, Noor M. Farhan, Qais S.-Al-Sabbagh:
Design and Application of Data Aquistion Interface Circuit. - Diego Rafael Lucio, Rayson Laroca, Evair Severo, Alceu S. Britto Jr., David Menotti:
Fully Connected Networks and Generative Neural Networks Applied to Sclera Segmentation. - Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer for Fast Whole-Body Segmentation. - David R. W. Sears, Filip Korzeniowski, Gerhard Widmer:
Evaluating language models of tonal harmony. - Dirk Weissenborn, Pasquale Minervini, Tim Dettmers, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Pontus Stenetorp, Sebastian Riedel:
Jack the Reader - A Machine Reading Framework. - Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
The Natural Language Decathlon: Multitask Learning as Question Answering. - Vikram Krishnamurthy:
POMDP Structural Results for Controlled Sensing using Lehmann Precision. - Bradley C. Lowekamp, David T. Chen, Ziv Yaniv, Terry S. Yoo:
Scalable Simple Linear Iterative Clustering (SSLIC) Using a Generic and Parallel Approach. - Ryan Beckett, Aarti Gupta, Ratul Mahajan, David Walker:
Control Plane Compression. - Heeyoul Choi:
Persistent Hidden States and Nonlinear Transformation for Long Short-Term Memory. - Peter R. Florence, Lucas Manuelli, Russ Tedrake:
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation. - Neng Wan, Desineni S. Naidu:
Synchronization of Singularly Perturbed Systems with Time Scales. - Khuong Vo, Dang Pham, Mao Nguyen, Trung Mai, Tho Quan:
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis. - Zack Fitzsimmons, Edith Hemaspaandra:
Election Score Can Be Harder Than Winner. - Konstantinos Mastakas:
Uniform 2D-Monotone Minimum Spanning Graphs. - David Feller, Joe B. Wells, Fairouz Kamareddine, Sébastien Carlier:
What Does This Notation Mean Anyway? - Clark W. Barrett, Haniel Barbosa
CVC4 at the SMT Competition 2018. - Antzela Kosta, Nikolaos Pappas, Anthony Ephremides, Vangelis Angelakis:
Age of Information and Throughput in a Shared Access Network with Heterogeneous Traffic. - Vasuki Narasimha Swamy, Paul Rigge, Gireeja Ranade, Borivoje Nikolic, Anant Sahai:
Wireless Channel Dynamics and Robustness for Ultra-Reliable Low-Latency Communications. - Dongruo Zhou, Pan Xu, Quanquan Gu:
Finding Local Minima via Stochastic Nested Variance Reduction. - Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. - Nima Roohi, Ramneet Kaur, James Weimer, Oleg Sokolsky, Insup Lee:
Self-Driving Vehicle Verification Towards a Benchmark. - Mathias Unberath, Javad Fotouhi, Jonas Hajek, Andreas K. Maier, Greg Osgood, Russell H. Taylor, Mehran Armand, Nassir Navab:
Augmented Reality-based Feedback for Technician-in-the-loop C-arm Repositioning. - Rasmus Dahlberg, Tobias Pulls, Jonathan Vestin, Toke Høiland-Jørgensen, Andreas Kassler:
Aggregation-Based Gossip for Certificate Transparency. - Xiongjian Zhang, Yuhao Wang, Fuhui Zhou, Naofal Al-Dhahir, Xiaohua Deng:
Robust Resource Allocation for MISO Cognitive Radio Networks Under Two Practical Non-Linear Energy Harvesting Models. - Rawad Bitar, Salim El Rouayheb:
Staircase-PIR: Universally Robust Private Information Retrieval. - Fernando Gama, Alejandro Ribeiro, Joan Bruna:
Diffusion Scattering Transforms on Graphs. - Rushabh Jitendrakumar Shah:
Efficient Graph Compression Using Huffman Coding Based Techniques. - Nabeel Abdur Rehman, Maxwell Matthaios Aliapoulios, Disha Umarwani, Rumi Chunara:
Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts. - Nikolaos Atreas, Nikolaos Karantzas, Manos Papadakis, Theodoros Stavropoulos:
On the Design of Multi-Dimensional Compactly Supported Parseval Framelets with Directional Characteristics. - Lorenzo Quirós:
Multi-Task Handwritten Document Layout Analysis. - Shizhe Chen, Yuqing Song, Yida Zhao, Jiarong Qiu, Qin Jin, Alexander G. Hauptmann:
RUC+CMU: System Report for Dense Captioning Events in Videos. - Karthik Gopinath, Samrudhdhi B. Rangrej, Jayanthi Sivaswamy:
A deep learning framework for segmentation of retinal layers from OCT images. - Yaman Umuroglu, Lahiru Rasnayake, Magnus Själander:
BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing. - Noriaki Hirose, Amir Sadeghian, Fei Xia, Silvio Savarese:
GONet++: Traversability Estimation via Dynamic Scene View Synthesis. - C. J. Argue, Sébastien Bubeck, Michael B. Cohen, Anupam Gupta, Yin Tat Lee:
A Nearly-Linear Bound for Chasing Nested Convex Bodies. - Shalmali Joshi, Oluwasanmi Koyejo, Been Kim, Joydeep Ghosh:
xGEMs: Generating Examplars to Explain Black-Box Models. - Andrew P. Sabelhaus, Huajing Zhao, Edward L. Zhu, Adrian K. Agogino, Alice M. Agogino:
Model-Predictive Control with Reference Input Tracking for Tensegrity Spine Robots. - Eray Özkural:
The Foundations of Deep Learning with a Path Towards General Intelligence. - Miguel Coviello Gonzalez, Marek Chrobak:
Towards a Theory of Mixing Graphs: A Characterization of Perfect Mixability. - Felipe Gómez-Cuba, Michele Zorzi:
Technical Report on Optimal Link Scheduling in Millimeter Wave Multi-hop Networks with Space Division Multiple Access and Multiplexing. - Sven Buechel, Udo Hahn:
Emotion Representation Mapping for Automatic Lexicon Construction (Mostly) Performs on Human Level. - ElMouatez Billah Karbab, Mourad Debbabi:
Automatic Investigation Framework for Android Malware Cyber-Infrastructures. - Seyed Sajad Mousavi, Michael Schukat, Enda Howley:
Deep Reinforcement Learning: An Overview. - Nguyen Vo, Kyumin Lee, Thanh Tran:
MRAttractor: Detecting Communities from Large-Scale Graphs. - Cun Mu, Jun Zhao, Guang Yang, Jing Zhang, Zheng Yan:
Towards Practical Visual Search Engine within Elasticsearch. - Ryan M. Watson, Jason N. Gross:
Robust Navigation In GNSS Degraded Environment Using Graph Optimization. - Hangxu Li, Jie Zhang, Jingzi Gu, Xiaolu Ji, Yang Li, Jun Hu, Yunhua Sun, Xiaoshan Jiang, Zheng Wang:
A readout method based on 10 Gigabit Ethernet for Sipixel detector. - Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. - Jun Long, Lei Zhu, Zhan Yang, Chengyuan Zhang, Xinpan Yuan:
Temporal Activity Path Based Character Correction in Social Networks. - Yifan Wu, Fan Yang, Haibin Ling:
Privacy-Protective-GAN for Face De-identification. - Eray Özkural:
Zeta Distribution and Transfer Learning Problem. - Mizanur Rahman, Nestor Hernandez, Bogdan Carbunar, Duen Horng Chau:
Search Rank Fraud De-Anonymization in Online Systems. - Sourya Dipta Das, Victor Bain, Pratyusha Rakshit:
Energy Optimized Robot Arm Path Planning using Differential Evolution in Dynamic Environment. - Janardan Misra:
A Note on Digitization of Real-Time Models and Logics. - Janardan Misra:
An Inductive Formalization of Self Reproduction in Dynamical Hierarchies. - Yaping Sun, Zhiyong Chen, Meixia Tao, Hui Liu:
Communications, Caching and Computing for Mobile Virtual Reality: Modeling and Tradeoff. - Adam Kasperski, Pawel Zielinski:
Approximating some network problems with scenarios. - Janardan Misra:
A Recursive PLS (Partial Least Squares) based Approach for Enterprise Threat Management. - Hannes Thaller:
Probabilistic Software Modeling. - Xiaoyan Hu, Lifeng Wang, Kai-Kit Wong, Yangyang Zhang, Zhongbin Zheng, Meixia Tao:
Edge and Central Cloud Computing: A Perfect Pairing for High Energy Efficiency and Low-latency. - Jingyuan Wang, Ze Wang, Jianfeng Li, Junjie Wu:
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis. - Zainab Alansari, Nor Badrul Anuar, Amirrudin Kamsin, Safeeullah Soomro, Mohammad Riyaz Belgaum, Mahdi H. Miraz, Jawdat Alshaer:
Challenges of Internet of Things and Big Data Integration. - Rakhi Saxena, Sharanjit Kaur, Vasudha Bhatnagar:
Social Centrality using Network Hierarchy and Community Structure. - Or Ordentlich, Gizem Tabak, Pavan Kumar Hanumolu, Andrew C. Singer, Gregory W. Wornell:
A Modulo-Based Architecture for Analog-to-Digital Conversion. - Md Ashraful Alam Milton:
Evaluation of Momentum Diverse Input Iterative Fast Gradient Sign Method (M-DI2-FGSM) Based Attack Method on MCS 2018 Adversarial Attacks on Black Box Face Recognition System. - Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Explainable Fashion Recommendation with Joint Outfit Matching and Comment Generation. - Jingyuan Wang, Xiaojian Wang, Junjie Wu:
Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention. - Hridoy Sankar Dutta, Aditya Chetan, Brihi Joshi, Tanmoy Chakraborty:
Retweet Us, We Will Retweet You: Spotting Collusive Retweeters Involved in Blackmarket Services. - Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne:
Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses. - Thomas Weise, Zijun Wu, Markus Wagner:
An Improved Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search. - Jorge Miguel Silva, Tiago Marques Godinho, David Silva, Carlos Costa:
A Community-Driven Validation Service for Standard Medical Imaging Objects. - Zhewei Huang, Wen Heng, Yuanzheng Tao, Shuchang Zhou:
Stroke-based Character Recognition with Deep Reinforcement Learning. - Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
Leveraging Implicit Spatial Information in Global Features for Image Retrieval. - Shu Liu, Chaoping Xing, Chen Yuan:
List Decodability of Symbol-Pair Codes. - Xun Zou, Biao He, Hamid Jafarkhani:
An Analysis of Uplink Asynchronous Non-Orthogonal Multiple Access Systems. - Gabrielle K. Liu:
Evaluating Gammatone Frequency Cepstral Coefficients with Neural Networks for Emotion Recognition from Speech. - Abhishek Agrahari, Aditya K. Jagannatham:
Sum-Rate Performance of Millimeter Wave MIMO Shared Spectrum Systems. - Srishti Gautam, Harinarayan K. K., O. U. Nirmal Jith, Anil Kumar Sao, Arnav Bhavsar, Adarsh Natarajan:
Considerations for a PAP Smear Image Analysis System with CNN Features. - Manuel Rigger, Daniel Pekarek, Hanspeter Mössenböck:
Context-aware Failure-oblivious Computing as a Means of Preventing Buffer Overflows. - Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, Dragomir R. Radev:
Improving Text-to-SQL Evaluation Methodology. - Javid Ebrahimi, Daniel Lowd, Dejing Dou:
On Adversarial Examples for Character-Level Neural Machine Translation. - Samson Abramsky, Nihil Shah:
Relating Structure and Power: Comonadic Semantics for Computational Resources. - Alex Kouzemtchenko:
Defending Malware Classification Networks Against Adversarial Perturbations with Non-Negative Weight Restrictions. - Max Budninskiy, Gloria Yin, Leman Feng, Yiying Tong, Mathieu Desbrun:
Parallel Transport Unfolding: A Connection-based Manifold Learning Approach. - Liang Mi, Wen Zhang, Xianfeng Gu, Yalin Wang:
Variational Wasserstein Clustering. - Thanh Hai Nguyen
Disease Classification in Metagenomics with 2D Embeddings and Deep Learning. - Hanxiao Liu, Karen Simonyan, Yiming Yang:
DARTS: Differentiable Architecture Search. - Ankit Mondal, Ankur Srivastava:
In-situ Stochastic Training of MTJ Crossbar based Neural Networks. - Ying He, Jincai Chang:
Golden interpolation. - Venkatesh-Prasad Ranganath, Joydeep Mitra:
Are Free Android App Security Analysis Tools Effective in Detecting Known Vulnerabilities? - Samuel K. Ainsworth, Nicholas J. Foti, Emily B. Fox:
Disentangled VAE Representations for Multi-Aspect and Missing Data. - Xi Chen, Yiqun Liu, Liang Zhang, Krishnaram Kenthapadi:
How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary. - Patrick Chao, Alexander Li, Gokul Swamy:
Generative Models for Pose Transfer. - Yukai Wang, Qizhi Teng, Xiaohai He, Junxi Feng, Tingrong Zhang:
CT-image Super Resolution Using 3D Convolutional Neural Network. - Yabai Hu, Yanxiang Jiang, Mehdi Bennis, Fu-Chun Zheng:
Distributed Edge Caching in Ultra-dense Fog Radio Access Networks: A Mean Field Approach. - Yusuf Tas, Piotr Koniusz:
CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps. - Ricardo Silva, Razi Iqbal:
Ethical Implications of Social Internet of Vehicles Systems. - Grant C. Atkins, Alexander C. Nwala, Michele C. Weigle, Michael L. Nelson:
Measuring News Similarity Across Ten U.S. News Sites. - Rui Zhang, Yusuf Tas, Piotr Koniusz:
Artwork Identification from Wearable Camera Images for Enhancing Experience of Museum Audiences. - Chanhee Lee, Young-Bum Kim, Dongyub Lee, Heuiseok Lim:
Character-Level Feature Extraction with Densely Connected Networks. - Mousumi Roy, Fusheng Wang, George Teodoro, Miriam B. Vos, Alton Brad Farris, Jun Kong:
Segmentation of Overlapped Steatosis in Whole-Slide Liver Histopathology Microscopy Images. - Maurice Filo, Bassam Bamieh:
An Input-Output Approach to Structured Stochastic Uncertainty in Continuous Time. - Mousumi Roy, Fusheng Wang, George Teodoro, Jose Velazqeuz Vega, Daniel J. Brat, Jun Kong:
Analysis of Cellular Feature Differences of Astrocytomas with Distinct Mutational Profiles Using Digitized Histopathology Images. - Wenlong Huang, Yanxiang Jiang, Mehdi Bennis, Fu-Chun Zheng, Haris Gacanin, Xiaohu You:
Decentralized Asynchronous Coded Caching in Fog-RAN. - Xiaoting Cui, Yanxiang Jiang, Xuan Chen, Fu-Chun Zheng, Xiaohu You:
Graph-based Cooperative Caching in Fog-RAN. - Mohamed Amine Ferrag, Makhlouf Derdour, Mithun Mukherjee, Abdelouahid Derhab, Leandros Maglaras, Helge Janicke:
Blockchain Technologies for the Internet of Things: Research Issues and Challenges. - Zhuosheng Zhang, Jiangtong Li, Pengfei Zhu, Hai Zhao, Gongshen Liu:
Modeling Multi-turn Conversation with Deep Utterance Aggregation. - Zhuosheng Zhang, Yafang Huang, Hai Zhao:
Subword-augmented Embedding for Cloze Reading Comprehension. - Tianju Sui, Damián Marelli, Minyue Fu, Renquan Lu:
Accuracy Analysis for Distributed Weighted Least-Squares Estimation in Finite Steps and Loopy Networks. - Zhuosheng Zhang, Hai Zhao:
One-shot Learning for Question-Answering in Gaokao History Challenge. - Gregory Z. Gutin, Magnus Wahlström, Meirav Zehavi:
On r-Simple k-Path and Related Problems Parameterized by k/r. - Stefano Calzavara, Riccardo Focardi, Matteo Maffei, Clara Schneidewind, Marco Squarcina, Mauro Tempesta:
WPSE: Fortifying Web Protocols via Browser-Side Security Monitoring. - Ohoud Alharbi, Ahmed Sabbir Arif:
The Perception of Humanoid Robots for Domestic Use in Saudi Arabia. - Satwik Patnaik, Mohammed Ashraf, Johann Knechtel, Ozgur Sinanoglu:
Raise Your Game for Split Manufacturing: Restoring the True Functionality Through BEOL. - Yanqing Xu, Chao Shen, Tsung-Hui Chang, Shih-Chun Lin, Yajun Zhao, Gang Zhu:
On Energy-Efficient NOMA Designs for Heterogeneous Low-Latency Downlink Transmissions. - Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity. - Johannes Oehrlein, Alina Förster, D. Schunck, Youness Dehbi, Ribana Roscher, Jan-Henrik Haunert:
Inferring Routing Preferences of Bicyclists from Sparse Sets of Trajectories. - Lucas Correia Ribas, Jarbas J. de M. Sá Junior, Leonardo F. S. Scabini
Fusion of complex networks and randomized neural networks for texture analysis. - Vitaly Petrov, Sergey Andreev, Mario Gerla, Yevgeni Koucheryavy:
Breaking the Limits in Urban Video Monitoring: Massive Crowd Sourced Surveillance over Vehicles. - Noshaba Cheema, Somayeh Hosseini, Janis Sprenger, Erik Herrmann, Han Du, Klaus Fischer, Philipp Slusallek:
Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data. - Piotr Koniusz, Hongguang Zhang, Fatih Porikli:
A Deeper Look at Power Normalizations. - Jiayang Liu, Weiming Zhang, Yiwei Zhang, Dongdong Hou, Yujia Liu, Nenghai Yu:
Detecting Adversarial Examples Based on Steganalysis. - Marvin Künnemann:
On Nondeterministic Derandomization of Freivalds' Algorithm: Consequences, Avenues and Algorithmic Progress. - Aristide C. Y. Tossou, Christos Dimitrakakis:
On The Differential Privacy of Thompson Sampling With Gaussian Prior. - Yuan Chen, Soummya Kar
The Internet of Things: Secure Distributed Inference. - Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis:
Balanced News Using Constrained Bandit-based Personalization. - Shengchao Liu, Thevaa Chandereng, Yingyu Liang:
N-Gram Graph, A Novel Molecule Representation. - Govind Ramnarayan:
Equalizing Financial Impact in Supervised Learning. - Luan Viet Nguyen, Khaza Anuarul Hoque, Stanley Bak, Steven Drager, Taylor T. Johnson:
Cyber-Physical Specification Mismatches. - Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin:
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. - Kyoung Jin Noh, Sang Jun Park, Soochahn Lee:
Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation. - Alejandro Díaz-Caro, Octavio Malherbe:
A concrete categorical semantics of Lambda-S. - Jin Li, Minhao Gu, Fei Li, Kejun Zhu:
An SOA Based Design of JUNO DAQ Online Software. - Jin Sima, Netanel Raviv, Jehoshua Bruck:
Two Deletion Correcting Codes from Indicator Vectors. - Yulong Shi, Xiaoguang Han, Nianjuan Jiang, Kun Zhou, Kui Jia, Jiangbo Lu:
FBI-Pose: Towards Bridging the Gap between 2D Images and 3D Human Poses using Forward-or-Backward Information. - Igor Oliveira, Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto:
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast. - Yun Chen, Da Chen, Tao Jiang:
Energy-Efficient Extended Sub-connected Architecture for Hybrid Precoding in Millimeter Wave Massive MIMO Systems. - Jueqin Qiu, Haisong Xu, Yang Ma, Zhengnan Ye:
PILOT: A Pixel Intensity Driven Illuminant Color Estimation Framework for Color Constancy. - Euiwoong Lee, Sahil Singla:
Optimal Online Contention Resolution Schemes via Ex-Ante Prophet Inequalities. - Marco Cavallo, Çagatay Demiralp:
Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions. - Faria Kalim, Shadi A. Noghabi:
Bené: On Demand Cost-Effective Scaling at the Edge. - Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. - Yuan Liu, Moyini Yao:
Best Vision Technologies Submission to ActivityNet Challenge 2018-Task: Dense-Captioning Events in Videos. - Amritpal Kaur, Harkiran Kaur:
Framework for Opinion Mining Approach to Augment Education System Performance. - Xiaobin Liu, Shiliang Zhang, Qingming Huang, Wen Gao:
RAM: A Region-Aware Deep Model for Vehicle Re-Identification. - Pouya Baniasadi, Vladimir Ejov, Michael Haythorpe, Serguei Rossomakhine:
A new benchmark set for Traveling salesman problem and Hamiltonian cycle problem. - Esben Jannik Bjerrum
Improving Chemical Autoencoder Latent Space and Molecular De novo Generation Diversity with Heteroencoders. - Harishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen:
Robust Feature Clustering for Unsupervised Speech Activity Detection. - Hayet Belghit, Abdelkader Bellarbi, Nadia Zenati, Samir Otmane:
Vision-based Pose Estimation for Augmented Reality : A Comparison Study. - Massimo Melucci:
Evaluation of Information Retrieval Systems Using Structural Equation Modelling. - Bulcsú Sándor, Michael Nowak, Tim Koglin, Laura Martin, Claudius Gros:
Kick control: using the attracting states arising within the sensorimotor loop of self-organized robots as motor primitives. - Chenxing Li, Tieqiang Wang, Shuang Xu, Bo Xu:
Single-channel Speech Dereverberation via Generative Adversarial Training. - Jun Chen, Deli Qiao:
Outage Analysis of Relay-Assisted mmWave Cellular Systems Employing JSDM. - Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Md. Masbaul Alam Polash, Abdul Sattar:
Diversified Late Acceptance Search. - Domenico Cantone, Alberto Policriti:
Encoding Sets as Real Numbers (Extended version). - Simon Bliudze, Saddek Bensalem:
Proceedings of the 1st International Workshop on Methods and Tools for Rigorous System Design, MeTRiD@ETAPS 2018, Thessaloniki, Greece, 15th April 2018. EPTCS 272, 2018 [contents] - Hamed Heidari Gorji, Sajjad Zabbah, Reza Ebrahimpour:
A temporal neural network model for object recognition using a biologically plausible decision making layer. - Thorsten Sommer, Gergana Deppe, Valerie Stehling, Max Haberstroh, Frank Hees:
Request for Comments: Proposal of a Blockchain for the Automatic Management and Acceptance of Student Achievements. - Weijun Zhu:
On the model-checking-based IDS. - Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal:
SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. - Andrey Bokovoy, Konstantin S. Yakovlev:
Sparse 3D Point-cloud Map Upsampling and Noise Removal as a vSLAM Post-processing Step: Experimental Evaluation. - Rituraj Kaushik, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret:
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards. - Raghav Menon, Herman Kamper, John A. Quinn, Thomas Niesler:
Fast ASR-free and almost zero-resource keyword spotting using DTW and CNNs for humanitarian monitoring. - Sanaa Sharafeddine, Omar Farhat:
A Proactive Scalable Approach for Reliable Cluster Formationin Wireless Networks with D2D Offloading. - Fedor Part, Iddo Tzameret:
Resolution with Counting: Lower Bounds over Different Moduli. - Daniel N. Nissani:
An Unsupervised Learning Classifier with Competitive Error Performance. - Rebal Jurdi, Saeed R. Khosravirad, Harish Viswanathan, Jeffrey G. Andrews, Robert W. Heath Jr.:
Outage of Periodic Downlink Wireless Networks with Hard Deadlines. - Sebastiaan J. C. Joosten:
Finding models through graph saturation. - Rahul Devassy, Giuseppe Durisi, Guido Carlo Ferrante, Osvaldo Simeone, Elif Uysal-Biyikoglu:
Reliable Transmission of Short Packets through Queues and Noisy Channels under Latency and Peak-Age Violation Guarantees. - David Kügler, Alexander Distergoft, Arjan Kuijper, Anirban Mukhopadhyay:
Exploring Adversarial Examples: Patterns of One-Pixel Attacks. - Youhong Feng, Shihao Yan, Zhen Yang, Nan Yang, Jinhong Yuan:
Beamforming Design and Power Allocation for Secure Transmission with NOMA. - Pravesh K. Kothari, Ruta Mehta:
Sum-of-Squares meets Nash: Optimal Lower Bounds for Finding any Equilibrium. - Sean P. Walton, M. Rowan Brown:
Predicting Effective Control Parameters for Differential Evolution using Cluster Analysis of Objective Function Features. - Lucas Sterckx, Johannes Deleu, Chris Develder, Thomas Demeester:
Prior Attention for Style-aware Sequence-to-Sequence Models. - Nikita Jaipuria, Golnaz Habibi, Jonathan P. How:
A Transferable Pedestrian Motion Prediction Model for Intersections with Different Geometries. - Beatriz Quintino Ferreira, Luís Baía, João Faria, Ricardo Gamelas Sousa:
A Unified Model with Structured Output for Fashion Images Classification. - Giulio Ermanno Pibiri, Rossano Venturini:
Handling Massive N-Gram Datasets Efficiently. - Golnaz Habibi, Nikita Jaipuria, Jonathan P. How:
Context-Aware Pedestrian Motion Prediction In Urban Intersections. - Tomas Geffner, Hector Geffner:
Compact Policies for Fully-Observable Non-Deterministic Planning as SAT. - Yan Ding:
Eco-Route: Recommending Economical Driving Routes For Plug-in Hybrid Electric Vehicles. - Ting Chen, Martin Renqiang Min, Yizhou Sun:
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations. - Abubakr O. Al-Abbasi, Vaneet Aggarwal:
Optimized Video Streaming over Cloud: A Stall-Quality Trade-off. - Andreas Brandstädt, Raffaele Mosca:
Maximum Weight Independent Sets for (S1, 2, 4, Triangle)-Free Graphs in Polynomial Time. - J. Christian Attiogbé:
Building Correct SDN-Based Components from a Global Formal Mode. - Pavel Surynek:
Finding Optimal Solutions to Token Swapping by Conflict-based Search and Reduction to SAT. - Fabian Eckermann, Julian Freudenthal, Christian Wietfeld:
Performance Analysis of Unsupervised LTE Device-to-Device (D2D) Communication. - Philipp Zieris
A Leak-Resilient Dual Stack Scheme for Backward-Edge Control-Flow Integrity. - Arthur Colombini Gusmão, Alvaro Henrique Chaim Correia
Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach. - Rita Gitik:
Optimal Seeding and Self-Reproduction from a Mathematical Point of View. - Youbao Tang, Adam P. Harrison, Mohammadhadi Bagheri, Jing Xiao, Ronald M. Summers:
Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks. - José Marcelino, João Faria, Luís Baía, Ricardo Gamelas Sousa:
A Hierarchical Deep Learning Natural Language Parser for Fashion. - Adaeze Adigwe, Noé Tits, Kevin El Haddad, Sarah Ostadabbas, Thierry Dutoit:
The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems. - Xingtong Liu, Ayushi Sinha, Mathias Unberath, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Austin Reiter:
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy. - Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
SkinNet: A Deep Learning Framework for Skin Lesion Segmentation. - Pratyusa Mukherjee, Krishnendu Rarhi, Abhishek Bhattacharya:
Cryptanalysis of a Chaotic Key based Image Encryption Scheme. - Daniel Nüst, Carl Boettiger, Ben Marwick:
How to Read a Research Compendium. - Tommaso Colombo, Paolo Durante, Domenico Galli, Matteo Manzali, Umberto Marconi, Niko Neufeld, Flavio Pisani, Rainer Schwemmer, Sébastien Valat:
FLIT-level InfiniBand network simulations of the DAQ system of the LHCb experiment for Run-3. - Paolo Viviani, Maurizio Drocco, Marco Aldinucci:
Pushing the boundaries of parallel Deep Learning - A practical approach. - Marc Velay, Fabrice Daniel:
Using NLP on news headlines to predict index trends. - Apostolos Kantartzis, Chrisovalantis Malesios:
A Decision Support System Web-Application for the Management of Forest Road Network. - René van Bevern, Till Fluschnik, Oxana Yu. Tsidulko:
Parameterized algorithms and data reduction for safe convoy routing. - Panagiotis Metaxas:
Technology, Propaganda, and the Limits of Human Intellect. - Wei-Hung Weng, Peter Szolovits:
Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment. - Christian Engwer, Carsten Gräser
Function space bases in the dune-functions module. - Ioannis Lamprou, Russell Martin, Sven Schewe, Ioannis Sigalas, Vassilis Zissimopoulos:
Maximum Rooted Connected Expansion. - Hugo A. Akitaya, Matthew D. Jones, David Stalfa, Csaba D. Tóth:
Maximum Area Axis-Aligned Square Packings. - Shuo Liu, Vijay John, Erik Blasch, Zheng Liu, Ying Huang
IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Image Translation. - Arnaud Dethise
Prelude: Ensuring Inter-Domain Loop-Freedom in~SDN-Enabled Networks. - Weifeng Chen, Jia Deng:
Learning Single-Image Depth from Videos using Quality Assessment Networks. - Seyedmohammad Salehi, Li Li, Chien-Chung Shen, Leonard J. Cimini Jr., John Graybeal:
Traffic Differentiation in Dense WLANs with CSMA/ECA-DR MAC Protocol. - Yun-Ning Hung, Yi-Hsuan Yang:
Frame-level Instrument Recognition by Timbre and Pitch. - Vladislav Z. B. Tadic, Arnaud Doucet:
Analyticity of Entropy Rates of Continuous-State Hidden Markov Models. - Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy:
Tracking Emerges by Colorizing Videos. - Samuel L. Smith, Daniel Duckworth, Quoc V. Le, Jascha Sohl-Dickstein:
Stochastic natural gradient descent draws posterior samples in function space. - Thomas Küstner, Sergios Gatidis, Annika Liebgott, Martin Schwartz, Lukas Mauch, Petros Martirosian, Holger Schmidt, Nina F. Schwenzer, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick:
A Machine-learning framework for automatic reference-free quality assessment in MRI. - Vivek Veeriah, Junhyuk Oh, Satinder Singh:
Many-Goals Reinforcement Learning. - Yuma Kinoshita, Taichi Yoshida, Sayaka Shiota, Hitoshi Kiya:
Multi-Exposure Image Fusion Based on Exposure Compensation. - Arindam Chaudhuri:
Predictive Maintenance for Industrial IoT of Vehicle Fleets using Hierarchical Modified Fuzzy Support Vector Machine. - Alireza Rahimpour, Hairong Qi:
Attention-based Few-Shot Person Re-identification Using Meta Learning. - Pierre Fournier, Olivier Sigaud, Mohamed Chetouani, Pierre-Yves Oudeyer:
Accuracy-based Curriculum Learning in Deep Reinforcement Learning. - Stephen Sinclair:
Sounderfeit: Cloning a Physical Model using a Conditional Adversarial Autoencoder. - Biao Jia, Zhe Hu, Zherong Pan, Dinesh Manocha, Jia Pan:
Learning-based Feedback Controller for Deformable Object Manipulation. - Yi-Peng Wei, Sennur Ulukus:
Novel Decentralized Coded Caching through Coded Prefetching. - Pawel Gawrychowski, Gad M. Landau, Tatiana Starikovskaya:
Fast entropy-bounded string dictionary look-up with mismatches. - Ke Yan, Mohammadhadi Bagheri, Ronald M. Summers:
3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection. - Sree Harsha Ramesh, Krishna Prasad Sankaranarayanan:
Neural Machine Translation for Low Resource Languages using Bilingual Lexicon Induced from Comparable Corpora. - Oleh Rybkin, Karl Pertsch, Andrew Jaegle, Konstantinos G. Derpanis, Kostas Daniilidis:
Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction. - Behzad Salami, Osman S. Unsal, Adrián Cristal:
On the Resilience of RTL NN Accelerators: Fault Characterization and Mitigation. - Viatcheslav Korenwein, André Nichterlein, Philipp Zschoche, Rolf Niedermeier:
Data Reduction for Maximum Matching on Real-World Graphs: Theory and Experiments. - Diego Calvanese, Silvio Ghilardi, Alessandro Gianola, Marco Montali, Andrey Rivkin:
Quantifier Elimination for Database Driven Verification. - Mahdi H. Miraz, David C. Donald:
Application of Blockchain in Booking and Registration Systems of Securities Exchanges. - Khaled Laib, Anton Korniienko, Florent Morel, Gérard Scorletti:
Convex LMI optimization for the uncertain power flow analysis. - Hanxiao Wang, Xiatian Zhu, Shaogang Gong, Tao Xiang:
Person Re-Identification in Identity Regression Space. - Christian Lessig:
A Local Fourier Slice Theorem. - Seyede Fatemeh Hajeforosh, Nabiollah Ramezani, Ali AhmadiDounchali:
Adaptive Zone-2 Distance Protection Scheme for Multi-Terminal Line Connecting Wind Farm. - Giulio Giaconi, Deniz Gündüz, H. Vincent Poor:
Joint Privacy-Cost Optimization in Smart Electricity Metering Systems. - A. J. A. Paschoal, R. M. Campello de Souza, Hélio M. de Oliveira
The Hamming and Golay Number-Theoretic Transforms. - Jens Behrmann, Sören Dittmer, Pascal Fernsel
Analysis of Invariance and Robustness via Invertibility of ReLU-Networks. - Tiago Martins, João Correia, Ernesto Costa, Penousal Machado:
Evotype: Towards the Evolution of Type Stencils. - Xi Zhang, Dandi Chen, Yongjun Zhu, Chao Che, Chang Su, Sendong Zhao, Xu Min, Fei Wang:
The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations. - Vaggelis Atlidakis, Patrice Godefroid, Marina Polishchuk:
REST-ler: Automatic Intelligent REST API Fuzzing. - Eunhee Kang, Hyun Jung Koo, Dong Hyun Yang, Joon Bum Seo, Jong Chul Ye:
Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography. - Hussein S. Al-Olimat, Steven Gustafson, Jason Mackay, Krishnaprasad Thirunarayan, Amit P. Sheth:
A Practical Incremental Learning Framework For Sparse Entity Extraction. - Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko:
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation. - Jianxiang Xi, Jie Yang, Hao Liu, Tang Zheng:
Adaptive guaranteed-performance consensus design for high-order multiagent systems. - Christopher Slezak, Menglei Zhang, Marco Mezzavilla, Sundeep Rangan:
Understanding End-to-End Effects of Channel Dynamics in Millimeter Wave 5G New Radio. - Richard Bonett, Kaushal Kafle, Kevin Moran, Adwait Nadkarni, Denys Poshyvanyk:
Discovering Flaws in Security-Focused Static Analysis Tools for Android using Systematic Mutation. - Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Xiaodan Liang, Lianhui Qin, Haoye Dong, Eric P. Xing:
Deep Generative Models with Learnable Knowledge Constraints. - Puyang Wang, Vishal M. Patel, Ilker Hacihaliloglu:
Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN. - (Withdrawn) Optimal Streaming Erasure Codes over the Three-Node Relay Network.
- Zheming Zhou, Zhiqiang Sui, Odest Chadwicke Jenkins:
Plenoptic Monte Carlo Object Localization for Robot Grasping under Layered Translucency. - Jianxiang Xi, Cheng Wang, Hao Liu, Le Wang:
Completely Distributed Guaranteed-performance Consensualization for High-order Multiagent Systems with Switching Topologies. - Zhengxing Chen, Chris Amato, Truong-Huy D. Nguyen, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr:
Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games. - Qi Luo, Kevin Moran, Lingming Zhang, Denys Poshyvanyk:
How Do Static and Dynamic Test Case Prioritization Techniques Perform on Modern Software Systems? An Extensive Study on GitHub Projects. - Yiqiang Chen, Jindong Wang, Meiyu Huang, Han Yu:
Cross-position Activity Recognition with Stratified Transfer Learning. - Poorya Mianjy, Raman Arora, René Vidal:
On the Implicit Bias of Dropout. - Sangchul Hahn, Heeyoul Choi:
Gradient Acceleration in Activation Functions. - Rooz Mahdavian, Richard Diehl Martinez:
Theory of Machine Networks: A Case Study. - Ghazaleh Beigi:
Social Media and User Privacy. - Hamidreza Alvari:
Causal Inference for Early Detection of Pathogenic Social Media Accounts. - Tushar Semwal, Divya D. Kulkarni, Shivashankar B. Nair:
On an Immuno-inspired Distributed, Embodied Action-Evolution cum Selection Algorithm. - Qijie Zhao, Tao Sheng, Yongtao Wang, Feng Ni, Ling Cai:
CFENet: An Accurate and Efficient Single-Shot Object Detector for Autonomous Driving. - Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude:
AutoSpearman: Automatically Mitigating Correlated Metrics for Interpreting Defect Models. - Dayiheng Liu, Quan Guo, Wubo Li, Jiancheng Lv:
A Multi-Modal Chinese Poetry Generation Model. - Tran Khanh Dang, An Khuong Vo, Josef Küng:
A NoSQL Data-based Personalized Recommendation System for C2C e-Commerce. - Xiaomin Lin, Stephen C. Adams, Peter A. Beling:
Multi-agent Inverse Reinforcement Learning for General-sum Stochastic Games. - Anand Bihari, Sudhakar Tripathi, Akshay Deepak, Prabhat Kumar:
EM and EM'-index sequence: Construction and application in scientific assessment of scholars. - Shintaro Narisada, Diptarama Hendrian, Ryo Yoshinaka, Ayumi Shinohara:
Linear-Time Online Algorithm Inferring the Shortest Path from a Walk. - Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Zhihua Cai, Lizhe Wang:
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery. - Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata:
Generating Counterfactual Explanations with Natural Language. - Shiqi Gong, Shaodan Ma, Chengwen Xing, Guanghua Yang:
Optimal Beamforming and Time Allocation for Partially Wireless Powered Sensor Networks with Downlink SWIPT. - Tim Roughgarden:
Beyond Worst-Case Analysis. - Sabine Bauer, Martin Hofmann:
Linear Tree Constraints. - Jonas Prellberg, Oliver Kramer:
Limited Evaluation Evolutionary Optimization of Large Neural Networks. - Charles Packer, Julian J. McAuley, Arnau Ramisa:
Visually-Aware Personalized Recommendation using Interpretable Image Representations. - Alexandr Andoni, Piotr Indyk, Ilya P. Razenshteyn:
Approximate Nearest Neighbor Search in High Dimensions. - Simón Roca-Sotelo, Jerónimo Arenas-García:
Unveiling the semantic structure of text documents using paragraph-aware Topic Models. - Qian Chen, Zhen-Hua Ling, Xiaodan Zhu:
Enhancing Sentence Embedding with Generalized Pooling. - Peter Robinson:
Requirements for Ethereum Private Sidechains. - Daniel Beck, Gholamreza Haffari, Trevor Cohn:
Graph-to-Sequence Learning using Gated Graph Neural Networks. - Jie Ding, Daiming Qu, Hao Jiang, Tao Jiang:
Virtual Carrier Sensing Based Random Access in Massive MIMO Systems. - Mohammad Lari:
Transmission Delay Minimization in Wireless Powered Communication Systems. - Pan Li, Niao He, Olgica Milenkovic:
Quadratic Decomposable Submodular Function Minimization. - Joseph Sifakis:
System Design in the Era of IoT - Meeting the Autonomy Challenge. 1-22 - Mohamad Ahmadi, Fabian Kuhn, Shay Kutten, Anisur Rahaman Molla, Gopal Pandurangan:
The Communication Cost of Information Spreading in Dynamic Networks. - Antonios Gouglidis, Christos Grompanopoulos, Anastasia Mavridou:
Formal Verification of Usage Control Models: A Case Study of UseCON Using TLA+. 52-64 - Mahmoud Khaled, Matthias Rungger, Majid Zamani:
SENSE: Abstraction-Based Synthesis of Networked Control Systems. 65-78 - Fotios Gioulekas
Process Network Models for Embedded System Design Based on the Real-Time BIP Execution Engine. 79-92 - Afshin Amighi, Marieke Huisman
Verification of Shared-Reading Synchronisers. 107-120 - Kasper Dokter
Treo: Textual Syntax for Reo Connectors. 121-135 - Evgenii Tsymbalov, Maxim Panov, Alexander Shapeev:
Dropout-based Active Learning for Regression. - Mengyu Liu, Yuan Liu:
Charge-then-Forward: Wireless Powered Communication for Multiuser Relay Networks. - Jianning Li, Long Cao, Yangyang Ge, Cheng Wang, Bowen Meng, Wei Guo:
Multi-Task Deep Convolutional Neural Network for the Segmentation of Type B Aortic Dissection. - Xianhua Niu, Chaoping Xing:
New extension constructions of optimal frequency hopping sequence sets. - Benjamin Unger, Serkan Gugercin:
Kolmogorov n-widths for linear dynamical systems. - Pingfan Song, Miguel R. D. Rodrigues:
Multi-modal Image Processing based on Coupled Dictionary Learning. - Michael Murray, Jared Tanner:
Towards an understanding of CNNs: analysing the recovery of activation pathways via Deep Convolutional Sparse Coding. - Mohammad Mohammadi Amiri, Deniz Gündüz:
On the Capacity Region of a Cache-Aided Gaussian Broadcast Channel with Multi-Layer Messages. - Giovanni Colavizza, Thomas Franssen, Thed N. van Leeuwen:
An empirical investigation of the Tribes and their Territories: are research specialisms rural and urban? - Rachel Manzelli, Vijay Thakkar, Ali Siahkamari, Brian Kulis:
Conditioning Deep Generative Raw Audio Models for Structured Automatic Music. - Robin Sandkühler, Christoph Jud, Simon Andermatt, Philippe C. Cattin:
AirLab: Autograd Image Registration Laboratory. - Fredrik Bagge Carlson, Rolf Johansson, Anders Robertsson:
Tangent-Space Regularization for Neural-Network Models of Dynamical Systems. - Pingfan Song, Lior Weizman, João F. C. Mota, Yonina C. Eldar, Miguel R. D. Rodrigues:
Coupled Dictionary Learning for Multi-contrast MRI Reconstruction. - Mohamed Adel, Mohamed Afify, Akram Gaballah:
Text-Independent Speaker Verification Based on Deep Neural Networks and Segmental Dynamic Time Warping. - Marcella S. R. Martins, Mohamed El Yafrani, Roberto Santana, Myriam Regattieri Delgado, Ricardo Lüders, Belaïd Ahiod:
On the performance of multi-objective estimation of distribution algorithms for combinatorial problems. - Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Luca Pappalardo, Salvatore Ruggieri, Franco Turini:
Open the Black Box Data-Driven Explanation of Black Box Decision Systems. - Arthur Bit-Monnot:
A Constraint-based Encoding for Domain-Independent Temporal Planning. - Manel Chehibi, Mouna Chebbah, Arnaud Martin:
Independence of Sources in Social Networks. - Éric Leclercq, Marinette Savonnet:
A Tensor Based Data Model for Polystore: An Application to Social Networks Data. - Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou, Mahmood Fathy:
Online Signature Verification using Deep Representation: A new Descriptor. - Jean Cardinal, Jean-Paul Doignon, Keno Merckx:
Finding a Maximum-Weight Convex Set in a Chordal Graph. - Pierre Denis:
Probabilistic Inference Using Generators - The Statues Algorithm. - Thomas Lukasiewicz, Enrico Malizia:
Complexity Results for Preference Aggregation over (m)CP-nets: Pareto and Majority Voting. - Zhang-Wei Hong, Tsu-Jui Fu, Tzu-Yun Shann, Yi-Hsiang Chang, Chun-Yi Lee:
Adversarial Exploration Strategy for Self-Supervised Imitation Learning. - Youssouf Oualhadj, Léo Tible, Daniele Varacca:
Banach-Mazur Parity Games and Almost-sure Winning Strategies. - Zuchao Zhang, Binjia Xiao, Zhenshan Ji, Yong Wang, Ping Wang:
The application of precision time protocol on EAST timing system. - Ayush Singhal, Rakesh Pant, Pradeep Sinha:
AlertMix: A Big Data platform for multi-source streaming data. - Li Wang, Weiyuan Shao, Yao Lu, Hao Ye, Jian Pu, Yingbin Zheng:
Crowd Counting with Density Adaption Networks. - Sebastian Schiessl, James Gross, Mikael Skoglund, Giuseppe Caire:
Delay Performance of the Multiuser MISO Downlink under Imperfect CSI and Finite Length Coding. - Steven Chaplick, Fabian Lipp, Alexander Wolff, Johannes Zink:
Compact Drawings of 1-Planar Graphs with Right-Angle Crossings and Few Bends. - Robert Platt Jr., Colin Kohler, Marcus Gualtieri:
Deictic Image Maps: An Abstraction For Learning Pose Invariant Manipulation Policies. - Xiaoming Yu, Zhenqiang Ying, Ge Li:
Multi-Mapping Image-to-Image Translation with Central Biasing Normalization. - Sepehr Assadi, Krzysztof Onak, Baruch Schieber, Shay Solomon:
Fully Dynamic Maximal Independent Set with Sublinear in n Update Time. - Sven Puchinger, Julian Renner, Antonia Wachter-Zeh:
Twisted Gabidulin Codes in the GPT Cryptosystem. - Anindya De, Elchanan Mossel, Joe Neeman:
Is your data low-dimensional? - Kamil Senel, Erik G. Larsson:
Grant-Free Massive MTC-Enabled Massive MIMO: A Compressive Sensing Approach. - Fabian Steiner, Patrick Schulte, Georg Böcherer:
Blind Decoding-Metric Estimation for Probabilistic Shaping via Expectation Maximization. - Leon René Sütfeld, Flemming Brieger, Holger Finger, Sonja Füllhase, Gordon Pipa:
Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks. - Maziar Moradi Fard, Thibaut Thonet, Éric Gaussier:
Deep k-Means: Jointly Clustering with k-Means and Learning Representations. - Adam Lerer, Alexander Peysakhovich:
Learning Social Conventions in Markov Games. - Maarten Van den Heuvel, Floris Geerts, Wolfgang Gatterbauer
A General Framework for Anytime Approximation in Probabilistic Databases. - Christopher A. Metzler, Philip Schniter, Richard G. Baraniuk:
An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing. - Anirban Mukhopadhyay:
A Theory of Diagnostic Interpretation in Supervised Classification. - Artyom Gadetsky, Ilya Yakubovskiy, Dmitry P. Vetrov:
Conditional Generators of Words Definitions. - Feng Liu, Yong Shi:
Research on Artificial Intelligence Ethics Based on the Evolution of Population Knowledge Base. - A. J. Lázaro-Muñoz, José María González-Linares, Juan Gómez-Luna, Nicolás Guil:
Improving tasks throughput on accelerators using OpenCL command concurrency. - Christian Lins, Daniel Eckhoff, Andreas Klausen, Sandra Hellmers, Andreas Hein, Sebastian J. F. Fudickar:
Cardiopulmonary Resuscitation Quality Parameters from Motion Capture Data using Differential Evolution Fitting of Sinusoids. - Alexander Chepurnoy, Vasily Kharin, Dmitry Meshkov:
Self-Reproducing Coins as Universal Turing Machine. - Qicheng Lao, Thomas Fevens:
Leveraging Disease Progression Learning for Medical Image Recognition. - Zhengxing Chen, Truong-Huy D. Nguyen, Yuyu Xu, Chris Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr:
The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games. - Shujian Yu, Xiaoyang Wang, José C. Príncipe:
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels. - Susanne Claus, Pierre Kerfriden:
A CutFEM method for two-phase flow problems. - Rémi Imbach:
Local solution clustering for a triangular system of polynomials. - Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Modular meta-learning. - (Withdrawn) Detection of Alzheimers Disease from MRI using Convolutional Neural Network with Tensorflow.
- Mitsuo Yoshida, Fujio Toriumi:
Do Political Detachment Users Receive Various Political Information on Social Media? - Tony Wang, Tom Velez, Emilia Apostolova, Tim Tschampel, Thuy L. Ngo, Joy Hardison:
Semantically Enhanced Dynamic Bayesian Network for Detecting Sepsis Mortality Risk in ICU Patients with Infection. - Max Bannach, Sebastian Berndt:
Practical Access to Dynamic Programming on Tree Decompositions. - Sahar Qaadan, Tobias Glasmachers:
Multi-Merge Budget Maintenance for Stochastic Gradient Descent SVM Training. - Tobias Glasmachers, Sahar Qaadan:
Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search. - Dmitry Krotov, John J. Hopfield:
Unsupervised Learning by Competing Hidden Units. - Sahar Qaadan, Merlin Schüler, Tobias Glasmachers:
Dual SVM Training on a Budget. - Michael P. Frank:
Generalized Reversible Computing. - Tyler Kaczmarek, Ercan Ozturk, Gene Tsudik:
Thermanator: Thermal Residue-Based Post Factum Attacks On Keyboard Password Entry. - Mary Southern, Gopalan Nadathur:
Towards a Logic for Reasoning About LF Specifications. - Nikolaos Pappas, Ioannis Dimitriou, Zheng Chen:
Network-level Cooperation in Random Access IoT Networks with Aggregators. - Gourab Kundu, Avirup Sil, Radu Florian, Wael Hamza:
Neural Cross-Lingual Coreference Resolution and its Application to Entity Linking. - Edo Collins, Radhakrishna Achanta, Sabine Süsstrunk:
Deep Feature Factorization For Concept Discovery. - Matthias Bentert, Anne-Sophie Himmel, Hendrik Molter, Marco Morik, Rolf Niedermeier, René Saitenmacher:
Listing All Maximal k-Plexes in Temporal Graphs. - Anirudh Raju, Behnam Hedayatnia, Linda Liu, Ankur Gandhe, Chandra Khatri, Angeliki Metallinou, Anu Venkatesh, Ariya Rastrow:
Contextual Language Model Adaptation for Conversational Agents. - John Hainline, Brendan Juba, Hai S. Le, David P. Woodruff:
Conditional Sparse 𝓁p-norm Regression With Optimal Probability. - Khoo Han Ni, Ahmad Suhaimi Baharudin, Kamal Karkonasasi:
The Determinants For User Intention To Adopt Web Based Early Childhood Supplementary Educational Platform. - Niru Maheswaranathan, Luke Metz, George Tucker, Jascha Sohl-Dickstein:
Guided evolutionary strategies: escaping the curse of dimensionality in random search. - Earl T. Barr, David Clark, Mark Harman, Alexandru Marginean:
Indexing Operators to Extend the Reach of Symbolic Execution. - Nitin Yadav, Carsten Murawski, Sebastian Sardiña, Peter Bossaerts:
Phase transition in the knapsack problem. - Nuwan S. Ferdinand, Stark C. Draper:
Hierarchical Coded Computation. - Shahrzad Kiani, Nuwan S. Ferdinand, Stark C. Draper:
Exploitation of Stragglers in Coded Computation. - Nuno M. Preguiça:
Conflict-free Replicated Data Types: An Overview. - Changqun Xia, Jia Li, Jinming Su, Ali Borji:
Learning a Saliency Evaluation Metric Using Crowdsourced Perceptual Judgments. - Akshaya Mani, Tavish Vaidya, David Dworken, Micah Sherr:
An Extensive Evaluation of the Internet's Open Proxies. - Kensuke Kojima:
BDDs Naturally Represent Boolean Functions, and ZDDs Naturally Represent Sets of Sets. - Lishi Zhang, Chenghan Fu, Jia Li:
Collaborative Annotation of Semantic Objects in Images with Multi-granularity Supervisions. - Kartik Ahuja, William R. Zame, Mihaela van der Schaar:
Piecewise Approximations of Black Box Models for Model Interpretation. - Hélio M. de Oliveira
von Mises Tapering: A Circular Data Windowing. - Pengcheng Yuan, Jia Li, Daxin Gu, Yonghong Tian:
Primary Object Segmentation in Aerial Videos via Hierarchical Temporal Slicing and Co-Segmentation. - Shade Ruangwan, Patanamon Thongtanunam, Akinori Ihara, Kenichi Matsumoto:
The Impact of Human Factors on the Participation Decision of Reviewers in Modern Code Review. - Ramanpreet Singh Pahwa, Wei Kiat Leong, Shaohui Foong, Karianto Leman, Minh N. Do:
Feature-less Stitching of Cylindrical Tunnel. - Haifeng Jin, Qingquan Song, Xia Hu:
Efficient Neural Architecture Search with Network Morphism. - Yusheng Luo, Min Xian, Manish Mohanpurkar, Bishnu P. Bhattarai, Anudeep Medam, Rahul Kadavil, Rob Hovsapian:
Optimal Scheduling of Electrolyzer in Power Market with Dynamic Prices. - Youmei Zhang, Chunluan Zhou, Faliang Chang, Alex C. Kot:
Attention to Head Locations for Crowd Counting. - Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine:
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. - Yerbolat Khassanov, Eng Siong Chng:
Unsupervised and Efficient Vocabulary Expansion for Recurrent Neural Network Language Models in ASR. - Yuanyu Wan, Jinfeng Yi, Lijun Zhang:
Matrix Completion from Non-Uniformly Sampled Entries. - Minhaeng Lee, Charless C. Fowlkes:
CeMNet: Self-supervised learning for accurate continuous ego-motion estimation. - Hui Xu, Yuxin Su, Zirui Zhao, Yangfan Zhou, Michael R. Lyu, Irwin King:
DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation. - Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel:
Adversarial Distillation of Bayesian Neural Network Posteriors. - Dongliang He, Fu Li, Qijie Zhao, Xiang Long, Yi Fu, Shilei Wen:
Exploiting Spatial-Temporal Modelling and Multi-Modal Fusion for Human Action Recognition. - Nicolas Berberich, Klaus Diepold:
The Virtuous Machine - Old Ethics for New Technology? - Chinmoy Dutta, Chris Sholley:
Online Matching in a Ride-Sharing Platform. - Chi-Hung Hsu, Shu-Huan Chang, Da-Cheng Juan, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Shih-Chieh Chang:
MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning. - Xiao Chen, Liang Wu, Zaichen Zhang:
A Generalized Data Representation for Deep Learning-Based Communications Systems. - Maverick Chauwin, Xuan Hu, Felipe García-Sánchez, Neilesh Betrabet, Christoforos Moutafis, Joseph S. Friedman:
Conservative Skyrmion Logic System. - Yi-Jie Huang, Qi Dou, Zi-Xian Wang, Li-Zhi Liu, Ying Jin, Chao-Feng Li, Lisheng Wang, Hao Chen, Rui-Hua Xu:
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation. - Ya Lu, Dario Allegra, Marios Anthimopoulos, Filippo Stanco, Giovanni Maria Farinella, Stavroula G. Mougiakakou:
A Multi-Task Learning Approach for Meal Assessment. - Haoyue Shi, Jiayuan Mao, Tete Xiao, Yuning Jiang, Jian Sun:
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples. - Viktor Mukha, Inon Sharony
Disparity Image Segmentation For ADAS. - Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges:
Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility. - Aymen Azaza, Joost van de Weijer, Ali Douik, Marc Masana:
Context Proposals for Saliency Detection. - David A. Basin, Jannik Dreier, Lucca Hirschi, Sasa Radomirovic, Ralf Sasse, Vincent Stettler:
Formal Analysis of 5G Authentication. - Yan Gu, Yihan Sun, Guy E. Blelloch:
Algorithmic Building Blocks for Asymmetric Memories. - Henrik Forssell, Ragnar Thobaben, Hussein Al-Zubaidy, James Gross:
Physical Layer Authentication in Mission-Critical MTC Networks: A Security and Delay Performance Analysis. - Duygu Vietz, Stefan Hoffmann, Egon Wanke:
Computing the metric dimension by decomposing graphs into extended biconnected components. - Marvin Eisenberger, Zorah Lähner, Daniel Cremers:
Divergence-Free Shape Interpolation and Correspondence. - Shervin Minaee, Yao Wang, Alp Aygar, Sohae Chung, Xiuyuan Wang, Yvonne W. Lui, Els Fieremans, Steven Flanagan, Joseph Rath:
MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features. - Mohammad Asif Habibi
The Structure of Service Level Agreement of Slice-based 5G Network. - Norihiro Yamada:
A Game-Semantic Model of Computation, Revisited: An Automata-Theoretic Perspective. - Wei Wang, Jing Dong, Yinlong Qian, Tieniu Tan:
Deep Steganalysis: End-to-End Learning with Supervisory Information beyond Class Labels. - Sergey Zherzdev, Alexey S. Gruzdev
LPRNet: License Plate Recognition via Deep Neural Networks. - Mohammad Ali Javidian, Marco Valtorta:
A Proof of the Front-Door Adjustment Formula. - Karl Van Wyk, Joe Falco:
Slip Detection: Analysis and Calibration of Univariate Tactile Signals. - Chaitanya Mitash, Abdeslam Boularias, Kostas E. Bekris:
Physics-based Scene-level Reasoning for Object Pose Estimation in Clutter. - Robert Bredereck, Andrzej Kaczmarczyk, Rolf Niedermeier:
On Coalitional Manipulation for Multiwinner Elections: Shortlisting. - Ruggero Lanotte, Massimo Merro, Simone Tini:
Towards a formal notion of impact metric for cyber-physical attacks (full version). - Shenjie Huang, Vahid Shah-Mansouri, Majid Safari:
Game-Theoretic Spectrum Trading in RF Relay-Assisted Free-Space Optical Communications. - (Withdrawn) Joint Beam and Channel Tracking for Two-dimensional Phased Antenna Arrays.
- Alyson K. Fletcher, Sundeep Rangan, Subrata Sarkar, Philip Schniter:
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis. - Milan Batista:
Elfun18 A collection of Matlab functions for the computation of Elliptical Integrals and Jacobian elliptic functions of real arguments. - Michel Jourlin, Guillaume Noyel
Homogeneity of a region in the logarithmic image processing framework: application to region growing algorithms. - Sander Dieleman, Aäron van den Oord, Karen Simonyan:
The challenge of realistic music generation: modelling raw audio at scale. - Tommaso Soru
Neural Machine Translation for Query Construction and Composition. - Shih-hong Tsai:
Customizing an Adversarial Example Generator with Class-Conditional GANs. - Mordecai J. Golin, John Iacono, Stefan Langerman, J. Ian Munro, Yakov Nekrich:
Dynamic Trees with Almost-Optimal Access Cost. - Bart M. P. Jansen, Jesper Nederlof:
Computing the Chromatic Number Using Graph Decompositions via Matrix Rank. - Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer, Stephan ten Brink:
Belief Propagation List Decoding of Polar Codes. - Bas A. M. van Geffen, Bart M. P. Jansen, Arnoud A. W. M. de Kroon, Rolf Morel:
Lower Bounds for Dynamic Programming on Planar Graphs of Bounded Cutwidth. - Haris Gacanin:
Knowledge-Driven Wireless Networks with Artificial Intelligence: Design, Challenges and Opportunities. - Florian Kauer, Maximilian Köstler, Volker Turau:
Reliable Wireless Multi-Hop Networks with Decentralized Slot Management: An Analysis of IEEE 802.15.4 DSME. - Samurdhi Karunaratne, Haris Gacanin:
An Overview of Machine Learning Approaches in Wireless Mesh Networks. - Jinseok Kim:
Evaluating author name disambiguation for digital libraries: A case of DBLP. - Paul Wouters, Zohreh Zahedi, Rodrigo Costas:
Social media metrics for new research evaluation. - Shangshu Zhao, Zhaowei Zhu, Fuqian Yang, Xiliang Luo:
Online optimal task offloading with one-bit feedback. - Naresh K. Mallenahalli, T. Hitendra Sarma:
A Tunable Particle Swarm Size Optimization Algorithm for Feature Selection. - Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia:
Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding. - Stefano Baldassi, Tadayoshi Kohno, Franziska Roesner, Moqian Tian:
Challenges and New Directions in Augmented Reality, Computer Security, and Neuroscience - Part 1: Risks to Sensation and Perception. - Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen:
Knowledge Compilation in Multi-Agent Epistemic Logics. - Brian Coyle
One-Sided Device-Independent Certification of Unbounded Random Numbers. 14-26 - Anna Aljanaki, Gerhard Widmer:
Modeling Majorness as a Perceptual Property in Music from Listener Ratings. - Chaofan Chen, Oscar Li, Alina Barnett, Jonathan Su, Cynthia Rudin:
This looks like that: deep learning for interpretable image recognition. - Nikolaos Lykousas, Vicenç Gómez, Constantinos Patsakis:
Adult content in Social Live Streaming Services: Characterizing deviant users and relationships. - Sajad Daei, Farzan Haddadi, Arash Amini, Martin Lotz:
On the Error in Phase Transition Computations for Compressed Sensing. - Rémi Imbach, Victor Y. Pan, Chee Yap:
Implementation of a Near-Optimal Complex Root Clustering Algorithm. - Yu Bai, Tengyu Ma, Andrej Risteski:
Approximability of Discriminators Implies Diversity in GANs. - Amit Levi, Yuichi Yoshida:
Sublinear-Time Quadratic Minimization via Spectral Decomposition of Matrices. - Jemin Hwangbo, Vassilios Tsounis, Hendrik Kolvenbach, Marco Hutter:
Cable-Driven Actuation for Highly Dynamic Robotic Systems. - Craig S. Wright, Antoaneta Serguieva:
Sustainable blockchain-enabled services: Smart contracts. - Asaf Hecht, Adi Sagi, Yuval Elovici:
PIDS - A Behavioral Framework for Analysis and Detection of Network Printer Attacks. - Stefan Grünewald, Sophie Henning, Alexander Koller:
Generalized chart constraints for efficient PCFG and TAG parsing. - Ahmed Attia, Emil M. Constantinescu:
An Optimal Experimental Design Framework for Adaptive Inflation and Covariance Localization for Ensemble Filters. - Soheil Khorram, Mimansa Jaiswal, John Gideon, Melvin G. McInnis, Emily Mower Provost:
The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild. - Dimitrios Gkenosis, Nathaniel Grammel, Lisa Hellerstein, Devorah Kletenik:
The Stochastic Score Classification Problem. - Jinseok Kim:
Author-Based Analysis of Conference versus Journal Publication in Computer Science. - Pingfan Song, Miguel R. D. Rodrigues:
Multimodal Image Denoising based on Coupled Dictionary Learning. - Lucas Correia Ribas, Wesley Nunes Gonçalves, Odemir M. Bruno:
Dynamic texture analysis with diffusion in networks. - Jacob D. Abernethy, Alex Chojnacki, Arya Farahi, Eric M. Schwartz, Jared Webb:
ActiveRemediation: The Search for Lead Pipes in Flint, Michigan. - Fei Xu, Min Xian, Yingtao Zhang, Kuan Huang, Heng-Da Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang:
A Hybrid Framework for Tumor Saliency Estimation. - Adalat Jabrayilov, Petra Mutzel:
A new Integer Linear Program for the Steiner Tree Problem with Revenues, Budget and Hop Constraints. - Salman Razzaki, Adam Baker, Yura Perov, Katherine Middleton, Janie Baxter, Daniel Mullarkey, Davinder Sangar, Michael Taliercio, Mobasher Butt, Azeem Majeed, Arnold DoRosario, Megan Mahoney, Saurabh Johri:
A comparative study of artificial intelligence and human doctors for the purpose of triage and diagnosis. - Jasjeet Dhaliwal, Saurabh Shintre:
Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning. - Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang:
TopoReg: A Topological Regularizer for Classifiers. - Zheng "Jason" Song, Jing Pu, Junjie Cheng, Eli Tilevich:
Performance and Programming Effort Trade-offs of Android Persistence Frameworks. - Keiichiro Hayakawa, Eiji Hato:
Dynamic traffic resources allocation under elastic demand of users with space-time prism constraints. - Allen Nie, Ashley Zehnder, Rodney López Page, Arturo L. Pineda, Manuel A. Rivas, Carlos D. Bustamante, James Zou:
DeepTag: inferring all-cause diagnoses from clinical notes in under-resourced medical domain. - Junjun Jiang, Yi Yu, Jinhui Hu, Suhua Tang, Jiayi Ma:
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination. - Niels Justesen, Ruben Rodriguez Torrado, Philip Bontrager, Ahmed Khalifa, Julian Togelius, Sebastian Risi:
Procedural Level Generation Improves Generality of Deep Reinforcement Learning. - Rakshit Agrawal, Jack W. Stokes, Mady Marinescu, Karthik Selvaraj:
Robust Neural Malware Detection Models for Emulation Sequence Learning. - Kamal Karkonasasi, Yu-N Cheah, Seyed Aliakbar Mousavi:
Intention to Use SMS Vaccination Reminder and Management System among Health Centers in Malaysia: The Mediating Effect of Attitude. - Dylan J. Foster, Akshay Krishnamurthy:
Contextual bandits with surrogate losses: Margin bounds and efficient algorithms. - Osamu Watanabe, Hiroyuki Kobayashi, Hitoshi Kiya:
Two-layer Lossless HDR Coding considering Histogram Sparseness with Backward Compatibility to JPEG. - Ayushi Sinha, Masaru Ishii, Russell H. Taylor, Gregory D. Hager, Austin Reiter:
Towards automatic initialization of registration algorithms using simulated endoscopy images. - Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis:
On Optimality of Adaptive Linear-Quadratic Regulators. - Hudson Ayers, Paul Crews, Hubert Teo, Conor McAvity, Amit Levy, Philip Alexander Levis:
Design Considerations for Low Power Internet Protocols. - Peter Sutor Jr., Douglas Summers-Stay, Yiannis Aloimonos:
A Computational Theory for Life-Long Learning of Semantics. - Chaoqiong Fan, Bin Li, Jia Hou, Yi Wu, Weisi Guo, Chenglin Zhao:
Robust Fuzzy-Learning For Partially Overlapping Channels Allocation In UAV Communication Networks. - Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans, Been Kim:
Evaluating Feature Importance Estimates. - Yuqi Han, Chenwei Deng, Zengshuo Zhang, Jinghong Nan, Baojun Zhao:
State-aware Anti-drift Robust Correlation Tracking. - Andrew Matteson, Chanhee Lee, Young-Bum Kim, Heuiseok Lim:
Rich Character-Level Information for Korean Morphological Analysis and Part-of-Speech Tagging. - Jacob Holm, Giuseppe F. Italiano, Adam Karczmarz, Jakub Lacki, Eva Rotenberg:
Decremental SPQR-trees for Planar Graphs. - Yang Yang, Marius Pesavento, Symeon Chatzinotas, Björn E. Ottersten:
Successive Convex Approximation Algorithms for Sparse Signal Estimation with Nonconvex Regularizations. - Ping Luo, Jiamin Ren, Zhanglin Peng:
Differentiable Learning-to-Normalize via Switchable Normalization. - Chen Du, Byeongkeun Kang, Zheng Xu, Ji Dai, Truong Q. Nguyen:
Accurate and efficient video de-fencing using convolutional neural networks and temporal information. - Vijay Gabale, Anand Prabhu Subramanian:
How To Extract Fashion Trends From Social Media? A Robust Object Detector With Support For Unsupervised Learning. - Wengu Chen, Peng Li:
Truncated Sparse Approximation Property and Truncated q-Norm Minimization. - Peng Li, Wengu Chen:
Signal Recovery under Cumulative Coherence. - Kazeto Yamamoto, Takashi Onishi, Yoshimasa Tsuruoka:
Hierarchical Reinforcement Learning with Abductive Planning. - Peng Li, Wengu Chen:
Signal Recovery under Mutual Incoherence Property and Oracle Inequalities. - Peng Li, Wengu Chen:
Matrix Recovery from Rank-One Projection Measurements via Nonconvex Minimization. - Pau Rodríguez, Miguel Ángel Bautista, Jordi Gonzàlez, Sergio Escalera:
Beyond One-hot Encoding: lower dimensional target embedding. - Irina Lukicheva, David Pozo, Alexander Kulikov:
Cyberattack Detection in Intelligent Grids Using Non-linear Filtering. - Robin Brochier, Adrien Guille, Benjamin Rothan, Julien Velcin
Impact of the Query Set on the Evaluation of Expert Finding Systems. - Hyeji Kim
Automatic Rank Selection for High-Speed Convolutional Neural Network. - Masayuki Imanishi, Satoshi Takabe, Tadashi Wadayama:
Deep Learning-Aided Iterative Detector for Massive Overloaded MIMO Channels. - Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler:
Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification. - Wei Chen, Xiaohan Shan, Xiaoming Sun, Jialin Zhang:
Coreness of Cooperative Games with Truncated Submodular Profit Functions. - Lucio Amelio, Alessia Amelio:
CT Image Registration in Acute Stroke Monitoring. - Timothée Lesort
Training Discriminative Models to Evaluate Generative Ones. - Priya Lakshmi Narayanan, Shan E Ahmed Raza, Andrew Dodson, Barry Gusterson, Mitchell Dowsett, Yinyin Yuan:
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images. - Eric Friedlander, Vaneet Aggarwal:
Generalization of LRU Cache Replacement Policy with Applications to Video Streaming. - François Rottenberg, Mathieu Van Eeckhaute, François Horlin, Jérôme Louveaux:
WaveComBox: a Matlab Toolbox for Communications using New Waveforms. - Léo Gautheron, Ievgen Redko, Carole Lartizien:
Feature Selection for Unsupervised Domain Adaptation using Optimal Transport. - Eugen Rusakov, Sebastian Sudholt, Fabian Wolf, Gernot A. Fink:
Expolring Architectures for CNN-Based Word Spotting. - Yan Xiao, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng:
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations. - Ted Hurley, Donny Hurley, Barry Hurley:
Entanglement-assisted quantum error-correcting codes from units. - Danny Harnik, Eliad Tsfadia, Doron Chen, Ronen I. Kat:
Securing the Storage Data Path with SGX Enclaves. - Joseph Lemley, Anuradha Kar, Alexandru Drimbarean, Peter Corcoran:
Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems. - Mathias Kraus, Stefan Feuerriegel, Asil Oztekin:
Deep learning in business analytics and operations research: Models, applications and managerial implications. - Ruslan R. Fayzrakhmanov, Christopher Michels, Mandy Neumann:
Introduction to OXPath. - Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva, Christian Häger, Henry D. Pfister:
On Low-Complexity Decoding of Product Codes for High-Throughput Fiber-Optic Systems. - James P. Gilbert, Jamie Twycross:
From clusters to queries: exploiting uncertainty in the modularity landscape of complex networks. - Jason R. C. Nurse, Petar Radanliev
If you can't understand it, you can't properly assess it! The reality of assessing security risks in Internet of Things systems. - Hongzhou Lin, Stefanie Jegelka:
ResNet with one-neuron hidden layers is a Universal Approximator. - Matthew England:
Machine Learning for Mathematical Software. - Alexandre Benoît
Deep learning for dehazing: Comparison and analysis. - Casey B. Mulligan, James Harold Davenport, Matthew England:
TheoryGuru: A Mathematica Package to apply Quantifier Elimination. - Igor G. Vladimirov, Ian R. Petersen:
Dissipative Linear Stochastic Hamiltonian Systems. - Soumya Paul, Jun Pang, Cui Su:
Towards the Existential Control of Boolean Networks: A Preliminary Report (Extended Abstract). - Bahare Fatemi, Seyed Mehran Kazemi, David Poole:
Record Linkage to Match Customer Names: A Probabilistic Approach. - Thomas Locher, Sebastian Obermeier, Yvonne-Anne Pignolet:
When Can a Distributed Ledger Replace a Trusted Third Party? - Yingyu Zhang, Bing Zeng:
A Decomposition-Based Many-Objective Evolutionary Algorithm with Local Iterative Update. - Yun Kuen Cheung, Richard Cole:
Amortized Analysis of Asynchronous Price Dynamics. - Cristina Bazgan, Janka Chlebíková, Clément Dallard
Graphs without a partition into two proportionally dense subgraphs. - Magnús M. Halldórsson, Tigran Tonoyan:
Effective Wireless Scheduling via Hypergraph Sketches. - Zain Mumtaz, Saleem Ullah, Zeeshan Ilyas, Shuo Liu, Naila Aslam, Jehangir Arshad Meo, Hamza Ahmad Madni:
Automatic streetlights that glow on detecting night and object using Arduino. - Andrea Bonfante, Lorenzo Galati-Giordano, David López-Pérez, Adrian García-Rodríguez, Giovanni Geraci, Paolo Baracca, M. Majid Butt, Merim Dzaferagic, Nicola Marchetti:
Performance of Massive MIMO Self-Backhauling for Ultra-Dense Small Cell Deployments. - Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus:
Sparse Sampling for Inverse Problems with Tensors. - Evgeny Izutov:
High Diversity Attribute Guided Face Generation with GANs. - Hassan Chizari, Emil Lupu:
Extracting Randomness From The Trend of IPI for Cryptographic Operators in Implantable Medical Devices. - Suman V. Ravuri, Shakir Mohamed, Mihaela Rosca, Oriol Vinyals:
Learning Implicit Generative Models with the Method of Learned Moments. - Paul Gastin, Sayan Mukherjee, B. Srivathsan:
Reachability in timed automata with diagonal constraints. - Guilhem Chéron, Anton Osokin, Ivan Laptev, Cordelia Schmid:
Modeling Spatio-Temporal Human Track Structure for Action Localization. - Yuliang Guo, Lakshmi Narasimhan Govindarajan, Benjamin B. Kimia, Thomas Serre:
Robust pose tracking with a joint model of appearance and shape. - Irene Córdoba-Sánchez
Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks. - Kaiwen Zhou, Fanhua Shang, James Cheng:
A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates. - Ansh Kapil, Armin Meier, Aleksandra Zuraw, Keith Steele, Marlon Rebelatto, Günter Schmidt, Nicolas Brieu:
Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell Scoring on NSCLC Tissue Needle Biopsies. - Fatemeh Shah-Mohammadi, Andres Kwasinski:
Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access. - Ran Yu, Ujwal Gadiraju, Stefan Dietze:
Detecting, Understanding and Supporting Everyday Learning in Web Search. - Antonia Affinito, Alessio Botta, Mauro Garofalo, Giorgio Ventre:
Detecting Port and Net Scan using Apache Spark. - Kaiwen Zhou:
Direct Acceleration of SAGA using Sampled Negative Momentum. - Filipo Sharevski, Sharief Oteafy:
Security for Cyber-Physical Systems: Leveraging Cellular Networks and Fog Computing. - Adam Trowbridge, Filipo Sharevski, Jessica Westbrook:
Malicious User Experience Design Research for Cybersecurity. - Filippo Bonchi, Barbara König, Daniela Petrisan:
Up-To Techniques for Behavioural Metrics via Fibrations. - Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira:
A probabilistic constrained clustering for transfer learning and image category discovery. - Ross C. Phillips, Denise Gorse:
Mutual-Excitation of Cryptocurrency Market Returns and Social Media Topics. - Taylor B. Arnold, Nicolas Ballier, Thomas Gaillat, Paula Lissón
Predicting CEFRL levels in learner English on the basis of metrics and full texts. - Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lucic, Olivier Bousquet, Sylvain Gelly:
Assessing Generative Models via Precision and Recall. - Azadeh Nematzadeh, Nathaniel Rodriguez, Alessandro Flammini, Yong-Yeol Ahn:
Optimal modularity in complex contagion. - Md. Ali Azam, Dhritiman Bhattacharya, Damien Querlioz, Jayasimha Atulasimha:
Resonate and Fire Neuron with Fixed Magnetic Skyrmions. - Akash Srivastava, Kai Xu, Michael U. Gutmann, Charles Sutton:
Ratio Matching MMD Nets: Low dimensional projections for effective deep generative models. - Yihong Wu, Jiaming Xu:
Statistical Problems with Planted Structures: Information-Theoretical and Computational Limits. - Said Ouala, Cédric Herzet, Ronan Fablet:
Sea surface temperature prediction and reconstruction using patch-level neural network representations. - Chris Hettinger, Tanner Christensen, Jeffrey Humpherys
Tandem Blocks in Deep Convolutional Neural Networks. - Adam S. Charles:
Interpreting Deep Learning: The Machine Learning Rorschach Test? - Jiyou Li, Daqing Wan:
Distance Distribution to Received Words in Reed-Solomon Codes. - Zhanxing Zhu, Ruosi Wan, Mingjun Zhong:
Neural Control Variates for Variance Reduction. - Yijiu Zhao, Shuangman Xiao:
Sparse Multiband Signal Acquisition Receiver with Co-prime Sampling. - Ian Simon, Adam Roberts, Colin Raffel, Jesse H. Engel, Curtis Hawthorne, Douglas Eck:
Learning a Latent Space of Multitrack Measures. - Yunfu Song, Zhijian Ou:
Learning Neural Random Fields with Inclusive Auxiliary Generators. - Sören Schulze, Emily J. King:
Musical Instrument Separation on Shift-Invariant Spectrograms via Stochastic Dictionary Learning. - Zhi-yue Wang, Tian-kuan Liu, Qi-jie Tang, Yi Feng, Jian Wang:
A programmable clock generator for automatic Quality Assurance of LOCx2. - Jack Umenberger, Thomas B. Schön:
Learning convex bounds for linear quadratic control policy synthesis. - Yuqian Zhang, Han-Wen Kuo, John Wright:
Structured Local Optima in Sparse Blind Deconvolution. - Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach:
Nonlinear Acceleration of CNNs. - Muhammad Ali Babar Abbasi
Miniaturized Microwave Devices and Antennas for Wearable, Implantable and Wireless Applications. - Ilya Chevyrev, Vidit Nanda, Harald Oberhauser:
Persistence paths and signature features in topological data analysis. - Charlie Nash, Nate Kushman, Christopher K. I. Williams:
Inverting Supervised Representations with Autoregressive Neural Density Models. - Igor Pontes Duff, Sara Grundel, Peter Benner:
New Gramians for Linear Switched Systems: Reachability, Observability, and Model Reduction. - Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe:
Whitening and Coloring transform for GANs. - Christian Beck
Solving stochastic differential equations and Kolmogorov equations by means of deep learning. - Gustavo Banegas, Ricardo Felipe Custódio, Daniel Panario:
A new class of irreducible pentanomials for polynomial based multipliers in binary fields. - Eimear Byrne, Alberto Ravagnani:
An Assmus-Mattson Theorem for Rank Metric Codes. - Xiaopeng Li, Guanyu Zhu, Muxin Han, Xin Wang:
Quantum Information Scrambling Through a High-Complexity Operator Mapping. - Shrikant Venkataramani, Ryley Higa, Paris Smaragdis:
Performance Based Cost Functions for End-to-End Speech Separation. - Nazreen P. M., A. G. Ramakrishnan:
DNN Based Speech Enhancement for Unseen Noises Using Monte Carlo Dropout. - Carson Eisenach, Han Liu:
Efficient, Certifiably Optimal High-Dimensional Clustering. - Ariel Schwartz, Ronen Talmon:
Intrinsic Isometric Manifold Learning with Application to Localization. - Kota Matsui, Wataru Kumagai, Kenta Kanamori, Mitsuaki Nishikimi, Takafumi Kanamori:
Variable Selection for Nonparametric Learning with Power Series Kernels. - Thanh Van Nguyen
Autoencoders Learn Generative Linear Models. - Jimmy Olsson, Tetyana Pavlenko, Felix L. Rios:
Sequential sampling of junction trees for decomposable graphs. - Bowei Yan, Oluwasanmi Koyejo, Kai Zhong, Pradeep Ravikumar:
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics. - Sreejith Kallummil, Sheetal Kalyani:
Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit. - Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto:
Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP). - Yarin Gal, Lewis Smith:
Idealised Bayesian Neural Networks Cannot Have Adversarial Examples: Theoretical and Empirical Study. - Lori A. Dalton, Marco E. Benalcázar, Edward R. Dougherty:
Optimal Clustering under Uncertainty. - Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong:
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. - Nisar Ahmed:
Data-Free/Data-Sparse Softmax Parameter Estimation with Structured Class Geometries. - Yamini Bansal, Madhu Advani, David D. Cox, Andrew M. Saxe:
Minnorm training: an algorithm for training over-parameterized deep neural networks. - Hui Wang, Qifeng Qiao, Chenyu Peng, Ji Xia, Guangya Zhou, Yan-Jun Zhao, Xun-Wei Xu:
Two-dimensional optomechanics formed by the graphene sheet and photonic crystal cavity. - Nathan Kallus, Xiaojie Mao, Madeleine Udell:
Causal Inference with Noisy and Missing Covariates via Matrix Factorization. - Matt DeVos, Sebastián González Hermosillo de la Maza, Krystal Guo, Daryl Funk, Tony Huynh, Bojan Mohar, Amanda Montejano:
Short rainbow cycles in sparse graphs. - Shuai Lu, Peter Mathé, Sergiy Pereverzyev Jr.:
Analysis of regularized Nyström subsampling for regression functions of low smoothness. - Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru:
Conservative Exploration using Interleaving. - Meng Huang, Zhiqiang Xu:
Solving Systems of Quadratic Equations via Exponential-type Gradient Descent Algorithm. - Yi-Qing Wang:
Adversarial confidence and smoothness regularizations for scalable unsupervised discriminative learning. - Tariq Daouda
Holographic Neural Architectures. - Emilie Kaufmann, Wouter M. Koolen, Aurélien Garivier:
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling. - Seyed Mostafa Kia, Andre F. Marquand:
Normative Modeling of Neuroimaging Data using Scalable Multi-Task Gaussian Processes. - Farid Khosravikia, Yasaman Zeinali, Zoltán Nagy, Patricia Clayton, Ellen M. Rathje:
Neural Network-Based Equations for Predicting PGA and PGV in Texas, Oklahoma, and Kansas. - Niklas Pfister, Sebastian Weichwald
groupICA: Independent component analysis for grouped data. - Tobias Hoßfeld, Poul E. Heegaard, Martín Varela, Lea Skorin-Kapov:
Confidence Interval Estimators for MOS Values. - Jérôme Dockès, Demian Wassermann, Russell A. Poldrack, Fabian M. Suchanek, Bertrand Thirion, Gaël Varoquaux:
Text to brain: predicting the spatial distribution of neuroimaging observations from text reports. - Matthew Groves, Edward O. Pyzer-Knapp:
Efficient and Scalable Batch Bayesian Optimization Using K-Means. - Laurent Younes:
Diffeomorphic Learning. - Hatim Salih, Will McCutcheon
Do the laws of physics prohibit counterfactual communication? - Suyong Choi, Seung J. Lee
Infrared Safety of a Neural-Net Top Tagging Algorithm. - Takeshi Yamazaki, Shunji Matsuura, Ali Narimani, Anushervon Saidmuradov, Arman Zaribafiyan
Towards the Practical Application of Near-Term Quantum Computers in Quantum Chemistry Simulations: A Problem Decomposition Approach. - Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach. - Siavash Golkar, Kyle Cranmer:
Backdrop: Stochastic Backpropagation. - Shuming Jiao:
Design of optimal illumination patterns in single-pixel imaging using image dictionaries. - Farhad Shahrokhi:
Strong Pseudo Transitivity and Intersection Graphs. - Asaf B. Cassel, Shie Mannor, Assaf Zeevi:
A General Approach to Multi-Armed Bandits Under Risk Criteria. - Jonathan Mei, José M. F. Moura:
EigenNetworks. - Xin-Guang Yang, Yongjin Lu:
Informative Gene Selection for Microarray Classification via Adaptive Elastic Net with Conditional Mutual Information. - Yilin Zhang, Karl Rohe:
Understanding Regularized Spectral Clustering via Graph Conductance. - Daniel Cullina, Arjun Nitin Bhagoji, Prateek Mittal:
PAC-learning in the presence of evasion adversaries. - Alexander Stec, Diego Klabjan:
Forecasting Crime with Deep Learning. - Haojie Liu, Tong Chen, Qiu Shen, Tao Yue, Zhan Ma:
Deep Image Compression via End-to-End Learning. - Ingyo Chung, Saehoon Kim, Juho Lee, Sung Ju Hwang, Eunho Yang:
Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare. - ChangYong Oh, Efstratios Gavves, Max Welling:
BOCK : Bayesian Optimization with Cylindrical Kernels. - Vinayak Kumar, Vaibhav Singh, P. K. Srijith, Andreas C. Damianou:
Deep Gaussian Processes with Convolutional Kernels. - Abraham Loeb:
Experimental Tests of Spirituality. - Antonio Diego Silva Farias, Regivan H. N. Santiago, Benjamín R. C. Bedregal:
Dynamic Ordered Weighted Averaging Functions for Complete Lattices. - Randall Martyr, John Moriarty, Christian Beck:
Optimal control of a commercial building's thermostatic load for off-peak demand response. - Greg Kirczenow, Ali Fathi, Matt Davison:
Machine Learning for Yield Curve Feature Extraction: Application to Illiquid Corporate Bonds (Preliminary Draft). - Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert:
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease. - XingYu Fu, JinHong Du, YiFeng Guo, MingWen Liu, Tao Dong, XiuWen Duan:
A Machine Learning Framework for Stock Selection. - Hiroaki Sasaki, Aapo Hyvärinen:
Neural-Kernelized Conditional Density Estimation. - Minhui Zheng, Bruce D. Spencer:
Estimating Shortest Path Length Distributions via Random Walk Sampling. - Louis C. Tiao, Edwin V. Bonilla, Fabio Ramos:
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference. - Bo Zhang, Jeffrey Uhlmann:
A Generalized Matrix Inverse with Applications to Robotic Systems. - Yuan-Ying Wang, Hung-Yu Wei:
Safe Driving Capacity of Autonomous Vehicles. - Ibraheem Kasim Ibraheem:
Adaptive System Identification Using LMS Algorithm Integrated with Evolutionary Computation. - Christos Liaskos, Shuai Nie, Ageliki Tsioliaridou, Andreas Pitsillides, Sotiris Ioannidis, Ian F. Akyildiz:
A New Wireless Communication Paradigm through Software-controlled Metasurfaces. - Daniel Recoskie, Richard Mann:
Gradient-based Filter Design for the Dual-tree Wavelet Transform. - Mor Shpigel Nacson, Nathan Srebro, Daniel Soudry:
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate. - Rachel A. Ward, Xiaoxia Wu, Léon Bottou:
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes, from any initialization. - Luis Gonzalo Sánchez Giraldo, Odelia Schwartz:
Integrating Flexible Normalization into Mid-Level Representations of Deep Convolutional Neural Networks. - Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo:
Eliciting Binary Performance Metrics. - András Gilyén, Yuan Su, Guang Hao Low, Nathan Wiebe:
Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics. - Martin Jankowiak, Fritz Obermeyer:
Pathwise Derivatives Beyond the Reparameterization Trick. - Martin Jankowiak, Theofanis Karaletsos:
Pathwise Derivatives for Multivariate Distributions. - Damian S. Steiger, Thomas Häner, Matthias Troyer:
Advantages of a modular high-level quantum programming framework. - Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball:
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals. - Jonathan Weed:
An explicit analysis of the entropic penalty in linear programming. - Md. Bahadur Badsha, Evan A. Martin, Audrey Qiuyan Fu:
MRPC: An R package for accurate inference of causal graphs. - Peter Hinz, Sara A. van de Geer:
A Framework for the construction of upper bounds on the number of affine linear regions of ReLU feed-forward neural networks. - Andreas Göbel, Timo Kötzing, Martin S. Krejca:
Intuitive Analyses via Drift Theory. - Joel Vaughan, Agus Sudjianto, Erind Brahimi, Jie Chen, Vijayan N. Nair:
Explainable Neural Networks based on Additive Index Models. - Alexander Tristan Maximilian Fisch, Idris Arthur Eckley
A linear time method for the detection of point and collective anomalies. - Sijie Zhang, Nan Zhou, Fanshui Deng, Hao Liang:
Design of Voltage Pulse Control Module for Free Space Measurement-Device-Independent Quantum Key Distribution. - Xian Shi:
The stabilizer for n-qubit symmetric states. - Mary Frances Dorn, Amit Moscovich, Boaz Nadler, Clifford H. Spiegelman:
Semiparametric Classification of Forest Graphical Models. - David P. Hofmeyr:
Degrees of Freedom and Model Selection for kmeans Clustering. - Anastasios Kyrillidis, Amir Kalev:
Implicit regularization and solution uniqueness in over-parameterized matrix sensing. - Kunjin Chen, Qin Wang, Ziyu He, Kunlong Chen, Jun Hu, Jinliang He:
Convolutional Sequence to Sequence Non-intrusive Load Monitoring. - Saurabh Sahu, Rahul Gupta, Ganesh Sivaraman, Wael AbdAlmageed, Carol Y. Espy-Wilson:
Adversarial Auto-encoders for Speech Based Emotion Recognition. - Davide Fiore, Agostino Guarino, Mario di Bernardo:
Analysis and control of genetic toggle switches subject to periodic multi-input stimulation. - Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Rätsch:
Boosting Black Box Variational Inference. - Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios, Christos Giatsidis, Konstantinos Skianis, Michalis Vazirgiannis:
GraKeL: A Graph Kernel Library in Python. - Tor Lattimore, Branislav Kveton, Shuai Li, Csaba Szepesvári:
TopRank: A practical algorithm for online stochastic ranking. - Akihiro Yabe, Daisuke Hatano, Hanna Sumita, Shinji Ito, Naonori Kakimura, Takuro Fukunaga, Ken-ichi Kawarabayashi:
Causal Bandits with Propagating Inference. - Youngdae Kim, Michael C. Ferris:
Solving equilibrium problems using extended mathematical programming. - Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas:
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences. - Pierre Perrault, Vianney Perchet, Michal Valko:
Finding the Bandit in a Graph: Sequential Search-and-Stop. - Matt J. Kusner, Chris Russell, Joshua R. Loftus, Ricardo Silva:
Causal Interventions for Fairness. - Oleg Ivanov, Michael Figurnov, Dmitry P. Vetrov:
Universal Conditional Machine. - Parameswaran Kamalaruban, Victor Perrier, Hassan Jameel Asghar, Mohamed Ali Kâafar:
dX-Private Mechanisms for Linear Queries. - Chao Ma, Yingzhen Li, José Miguel Hernández-Lobato:
Variational Implicit Processes. - Carlo Ciliberto, Francis R. Bach, Alessandro Rudi:
Localized Structured Prediction. - Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements. - Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson:
Importance weighted generative networks. - Astrid Dahl, Edwin V. Bonilla:
Grouped Gaussian Processes for Solar Power Prediction. - C. H. Bryan Liu, Elaine M. Bettaney, Benjamin Paul Chamberlain:
Designing Experiments to Measure Incrementality on Facebook. - Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, Gaël Richard, A. Taylan Cemgil:
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. - Roee Diamant, Paolo Casari, Stefano Tomasin:
Cooperative Authentication in Underwater Acoustic Sensor Networks. - Sara Heydari, Sam G. B. Roberts, Robin I. M. Dunbar, Jari Saramäki:
Multichannel social signatures and persistent features of ego networks. - Laura Cornejo-Bueno:
New Hybrid Neuro-Evolutionary Algorithms for Renewable Energy and Facilities Management Problems. - Hossein Soltani, Manouchehr Zaker:
Partial vertex covers and the complexity of some problems concerning static and dynamic monopolies. - Jun Han, Qiang Liu:
Stein Variational Gradient Descent Without Gradient. - Mitra Nemati Andavari, Manouchehr Zaker:
Weak dynamic monopolies in social graphs. - Hongyi Zhang, Suvrit Sra:
Towards Riemannian Accelerated Gradient Methods. - Ramashish Gaurav, Biplav Srivastava:
Estimating Train Delays in a Large Rail Network Using a Zero Shot Markov Model. - Tiantian Liu, Yair Goldberg:
Kernel Machines With Missing Responses. - Hjalte Frellesvig:
Generalized Polylogarithms in Maple. - Nathan Kallus, Angela Zhou:
Residual Unfairness in Fair Machine Learning from Prejudiced Data. - Md Nasir Uddin Laskar, Luis G. Sánchez Giraldo, Odelia Schwartz:
Correspondence of Deep Neural Networks and the Brain for Visual Textures. - José L. Torrecilla, Alberto Suárez:
Feature selection in functional data classification with recursive maxima hunting. - Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan, Pradeep Ravikumar:
On Adversarial Risk and Training. - Jiaxin Shi, Shengyang Sun, Jun Zhu:
A Spectral Approach to Gradient Estimation for Implicit Distributions. - Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra:
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. - Kwangho Kim, Jisu Kim, Edward H. Kennedy:
Causal effects based on distributional distances. - Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson, Masashi Sugiyama:
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces. - Aleksei Vasilev, Vladimir Golkov, Ilona Lipp, Eleonora Sgarlata, Valentina Tomassini, Derek K. Jones, Daniel Cremers:
q-Space Novelty Detection with Variational Autoencoders. - Alison O'Shea, Gordon Lightbody, Geraldine B. Boylan, Andriy Temko:
Investigating the Impact of CNN Depth on Neonatal Seizure Detection Performance. - Sergi Gomez, Mark E. O'Sullivan, Emanuel M. Popovici, Sean Mathieson, Geraldine B. Boylan, Andriy Temko:
On sound-based interpretation of neonatal EEG. - Gianluca Detommaso, Tiangang Cui, Youssef M. Marzouk, Robert Scheichl, Alessio Spantini:
A Stein variational Newton method. - Erica K. Shimomoto, Lincon Sales de Souza, Bernardo B. Gatto, Kazuhiro Fukui:
Text Classification based on Word Subspace with Term-Frequency. - Christian Schmidt, Henry D. Pfister, Lenka Zdeborová:
On Minimal Sets to Destroy the k-Core in Random Networks. - Wesley Tansey, Yixin Wang, David M. Blei, Raul Rabadan:
Black Box FDR. - Peter Bjørn Jørgensen, Karsten Wedel Jacobsen, Mikkel N. Schmidt:
Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials. - Ayelet Heimowitz, Yonina C. Eldar:
A Unified View of Diffusion Maps and Signal Processing on Graphs. - Yujie Zhang, Wenjing Ye:
Deep learning based inverse method for layout design. - Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
A neural network catalyzer for multi-dimensional similarity search. - Daniel Sheldon, Kevin Winner, Debora Sujono:
Learning in Integer Latent Variable Models with Nested Automatic Differentiation. - Weicheng Cai, Jinkun Chen, Ming Li:
Analysis of Length Normalization in End-to-End Speaker Verification System. - Anirudh Subramanyam, Akang Wang, Chrysanthos E. Gounaris:
A Scenario Decomposition Algorithm for Strategic Time Window Assignment Vehicle Routing Problems. - Emmanuel Abbe, Enric Boix:
An Information-Percolation Bound for Spin Synchronization on General Graphs. - Niki Kilbertus, Adrià Gascón, Matt J. Kusner, Michael Veale, Krishna P. Gummadi, Adrian Weller:
Blind Justice: Fairness with Encrypted Sensitive Attributes. - Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski:
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. - Florian Tramèr, Dan Boneh:
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware. - Ian Osband, John Aslanides, Albin Cassirer:
Randomized Prior Functions for Deep Reinforcement Learning. - Wenjie Mei, Masaki Ogura:
Kronecker weights for instability analysis of Markov jump linear systems. - Chuang Ma, Han-Shuang Chen, Xiang Li, Ying-Cheng Lai, Hai-Feng Zhang:
Data based reconstruction of complex cyberphysical networks. - Shiqian Ma, Necdet Serhat Aybat:
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants. - (Withdrawn) Hierarchical Clustering with Prior Knowledge.
- Siyuan Qi, Baoxiong Jia, Song-Chun Zhu:
Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction. - Andrew S. Lan, Mung Chiang, Christoph Studer:
An Estimation and Analysis Framework for the Rasch Model. - Hao Henry Zhou, Yunyang Xiong, Vikas Singh:
Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty. - Ilya Soloveychik, Vahid Tarokh:
Stationary Geometric Graphical Model Selection. - Ji Yang, Lin Tong, Mehdi Faraji, Anup Basu:
IVUS-Net: An Intravascular Ultrasound Segmentation Network. - Weiping Wu, Jianjun Gao, Junguo Lu, Xun Li:
Optimal Control of Constrained Stochastic Linear-Quadratic Model with Applications. - Ciwan Ceylan, Michael U. Gutmann:
Conditional Noise-Contrastive Estimation of Unnormalised Models. - Bin Hu, Stephen J. Wright, Laurent Lessard:
Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs. - Rozita Teymourzadeh, Mometo Jim Abigo, Mok Vee Hoong:
Static Quantized Radix-2 FFT/IFFT Processor for Constraints Analysis. - Lukas Mosser, Olivier Dubrule, Martin J. Blunt:
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior. - Rozita Teymourzadeh:
VLSI Design Of Advanced Digital Filters. - Guillaume Leclerc, Manasi Vartak, Raul Castro Fernandez, Tim Kraska, Samuel Madden:
Smallify: Learning Network Size while Training. - Thomas Pumir, Samy Jelassi, Nicolas Boumal:
Smoothed analysis of the low-rank approach for smooth semidefinite programs. - Wei Su, Ge Chen:
Noise-based control of social dynamics. - Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris S. Papailiopoulos, Paraschos Koutris:
The Effect of Network Width on the Performance of Large-batch Training. - Varun Shankar, Aaron L. Fogelson:
Hyperviscosity-Based Stabilization for Radial Basis Function-Finite Difference (RBF-FD) Discretizations of Advection-Diffusion Equations. - Shuming Jiao, Zhi Jin, Chenliang Chang, Changyuan Zhou, Wenbin Zou, Xia Li:
Compression of phase-only holograms with JPEG standard and deep learning. - Huijun Sun, Kangli Zhu, Jianjun Wu, Daqing Li, Ziyou Gao, Haodong Yin, Yunchao Qu, Xin Yang, Hao Liu:
Spatial social networks identified from urban group travel. - Rein van 't Veer, Peter Bloem, Erwin Folmer:
Deep Learning for Classification Tasks on Geospatial Vector Polygons. - Lucas Gabriel Souza França
Fractal and multifractal properties of electrographic recordings of human brain activity. - Balthasar Reuter, Andreas Rupp, Vadym Aizinger, Florian Frank, Peter Knabner:
FESTUNG: A MATLAB /GNU Octave toolbox for the discontinuous Galerkin method. Part IV: Generic problem framework and model-coupling interface. - Pavel E. Dvurechensky, Darina Dvinskikh, Alexander V. Gasnikov, César A. Uribe, Angelia Nedic:
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters. - Patrick R. Johnstone, Jonathan Eckstein:
Convergence Rates for Projective Splitting. - Eyal Ackerman, Balázs Keszegh, Dömötör Pálvölgyi:
Coloring Delaunay-Edges and their Generalizations. - Riccardo Dondi, Manuel Lafond, Céline Scornavacca:
Reconciling Multiple Genes Trees via Segmental Duplications and Losses. - Ayushi Sinha, Xingtong Liu, Austin Reiter, Masaru Ishii, Gregory D. Hager, Russell H. Taylor:
Endoscopic navigation in the absence of CT imaging. - Ola Spjuth, Lars Carlsson, Niharika Gauraha:
Aggregating Predictions on Multiple Non-disclosed Datasets using Conformal Prediction. - Laetitia Gauvin, Mathieu Génois
Randomized reference models for temporal networks. - Mark E. O'Sullivan, Sergi Gomez, Alison O'Shea, Eduard Salgado, Kevin Huillca, Sean Mathieson, Geraldine B. Boylan, Emanuel M. Popovici, Andriy Temko:
Neonatal EEG Interpretation and Decision Support Framework for Mobile Platforms. - Houbing Lu, Feng Li, Peng Miao, Kun Hu, Zhilei Zhang, Rongqi Sun, Qingli Ma, Ge Jin:
Development of FEB Configuration Test Board for ATLAS NSW Upgrade. - Amir Asiaee T., Samet Oymak, Kevin R. Coombes, Arindam Banerjee:
High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient. - Jian-min Liu:
The Research of the Real-time Detection and Recognition of Targets in Streetscape Videos. - Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary Charles, Dimitris S. Papailiopoulos, Stephen J. Wright:
ATOMO: Communication-efficient Learning via Atomic Sparsification. - Fanny Roche, Thomas Hueber, Samuel Limier, Laurent Girin:
Autoencoders for music sound synthesis: a comparison of linear, shallow, deep and variational models. - David Hilton Wolpert, Artemy Kolchinsky:
Exact, complete expressions for the thermodynamic costs of circuits. - Ugur Meric Gur, Özgür Ergül:
Solutions of New Potential Integral Equations Using MLFMA Based on the Approximate Stable Diagonalization. - Shi Pu, Alfredo García:
Swarming for Faster Convergence in Stochastic Optimization. - Stephen A. Linton, Gabriele Nebe, Alice C. Niemeyer, Richard Parker, Jon Thackray:
A parallel algorithm for Gaussian elimination over finite fields. - Harun Siljak:
Reversibility in space, time, and computation: the case of underwater acoustic communications. - Chapman Siu, Richard Yi Da Xu:
Diverse Online Feature Selection. - Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal:
Focused Hierarchical RNNs for Conditional Sequence Processing. - Léo Miolane:
Phase transitions in spiked matrix estimation: information-theoretic analysis. - Johannes S. Otterbach:
Optimizing Variational Quantum Circuits using Evolution Strategies. - Julia Rackerseder, Maximilian Baust, Rüdiger Göbl, Nassir Navab, Christoph Hennersperger:
Initialize globally before acting locally: Enabling Landmark-free 3D US to MRI Registration. - Michael T. McCann, Michael Unser, Adrien Depeursinge:
Fast Rotational Sparse Coding. - Amritanshu Prasad:
A Timed Version of the Plactic Monoid. - Andreea Deac, Petar Velickovic, Pietro Sormanni:
Attentive cross-modal paratope prediction. - Jie Zhao, Xi Yang, Jun Yan Dai, Qiang Cheng, Xiang Li, Ning Hua Qi, Jun Chen Ke, Guo Dong Bai, Shuo Liu, Shi Jin, Tie Jun Cui:
Controlling spectral energies of all harmonics in programmable way using time-domain digital coding metasurface. - Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges Linarès, Chiheb Trabelsi, Renato De Mori, Yoshua Bengio:
Quaternion Recurrent Neural Networks. - Mikhail Zaslavskiy, Simon Jégou, Eric W. Tramel, Gilles Wainrib:
ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors. - Jan Goedgebeur, Kenta Ozeki, Nico Van Cleemput, Gábor Wiener:
On the minimum leaf number of cubic graphs. - Artem Sokolov, Julian Hitschler, Stefan Riezler:
Sparse Stochastic Zeroth-Order Optimization with an Application to Bandit Structured Prediction. - Benoit Gaujac, Ilya Feige, David Barber:
Gaussian mixture models with Wasserstein distance. - Faustin Adiceam, Erez Nesharim, Fred Lunnon:
On the t-adic Littlewood Conjecture. - Alex Mansbridge, Roberto Fierimonte, Ilya Feige, David Barber:
Improving latent variable descriptiveness with AutoGen. - Rebecca Hoberg, Thomas Rothvoss:
A Fourier-Analytic Approach for the Discrepancy of Random Set Systems. - Kolja Knauer, Piotr Micek, Torsten Ueckerdt:
The queue-number of planar posets. - Yasin Yazici, Chuan Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar:
The Unusual Effectiveness of Averaging in GAN Training. - Amaia Abanda, Usue Mori, José Antonio Lozano:
A review on distance based time series classification. - Wenbo Gong, Yingzhen Li, José Miguel Hernández-Lobato:
Meta-Learning for Stochastic Gradient MCMC. - Charlie Frogner, Tomaso A. Poggio:
Approximate inference with Wasserstein gradient flows. - Maria Hügle, Simon Heller, Manuel Watter, Manuel Blum, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Peter Woias, Joschka Boedecker:
Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller. - Bob Vanderheyden, Jennifer L. Priestley:
Logistic Ensemble Models. - Miguel Simões, José M. Bioucas-Dias, Luís B. Almeida:
An Extension of Averaged-Operator-Based Algorithms. - Yazan Samir Algnabi, Rozita Teymourzadeh, Masuri Othman, Md. Shabiul Islam:
FPGA Implementation of pipeline Digit-Slicing Multiplier-Less Radix 2 power of 2 DIF SDF Butterfly for Fourier Transform Structure. - Rozita Teymourzadeh, Memtode Jim, Mok Vee Hong:
Characteristic Analysis of 1024-Point Quantized Radix-2 FFT/IFFT Processor. - Yazan Samir Algnabi, Furat A. Aldaamee, Rozita Teymourzadeh:
Novel Architecture of Pipeline Radix 2 power of 2 SDF FFT Based on Digit-Slicing Technique. - Rozita Teymourzadeh, Amirrize Alpha, V. H. Mok:
Smart Novel Computer-based Analytical Tool for Image Forgery Authentication. - Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya:
Using Inherent Structures to design Lean 2-layer RBMs. - Ali A. Esswie, Klaus I. Pedersen:
Multi-User Preemptive Scheduling for Critical Low Latency Communications in 5G Networks. - Fuhui Zhou, Yongpeng Wu, Rose Qingyang Hu, Yi Qian:
Computation Rate Maximization in UAV-Enabled Wireless Powered Mobile-Edge Computing Systems. - Sudeep Raja Putta:
Exponential Weights on the Hypercube in Polynomial Time. - Laura Balzano, Yuejie Chi, Yue M. Lu:
Streaming PCA and Subspace Tracking: The Missing Data Case. - Ruifei Cui, Ioan Gabriel Bucur, Perry Groot, Tom Heskes:
A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values. - Ehsan Imani, Martha White:
Improving Regression Performance with Distributional Losses. - Soheil Esmaeilzadeh, Ouassim Khebzegga, Mehrad Moradshahi:
Clinical Parameters Prediction for Gait Disorder Recognition. - Shannon L. Fitzpatrick:
The Game of Zombies and Survivors on the Cartesian Products of Trees. - Daniel Moyer, Paul M. Thompson, Greg Ver Steeg:
Measures of Tractography Convergence. - Philip Soeffker, Dimitri Block, Nico Wiebusch, Uwe Meier:
Resource Allocation for a Wireless Coexistence Management System Based on Reinforcement Learning. - Stephan Rasp, Michael S. Pritchard, Pierre Gentine:
Deep learning to represent sub-grid processes in climate models. - Pablo de Castro, Tommaso Dorigo:
INFERNO: Inference-Aware Neural Optimisation. - Sébastien Pecqueur, Maurizio Mastropasqua Talamo, David Guérin, Philippe Blanchard, Jean Roncali
Neuromorphic Time-Dependent Pattern Classification with Organic Electrochemical Transistor Arrays. - Fabian David Tschopp, Michael B. Reiser, Srinivas C. Turaga:
A Connectome Based Hexagonal Lattice Convolutional Network Model of the Drosophila Visual System. - Hisham Husain, Zac Cranko, Richard Nock:
Integral Privacy for Density Estimation with Approximation Guarantees. - Victor Chernozhukov, Denis Nekipelov, Vira Semenova, Vasilis Syrgkanis:
Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models. - Yating Wang, Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev, Min Wang:
Deep Multiscale Model Learning. - Naonori Ueda, Akinori Fujino:
Partial AUC Maximization via Nonlinear Scoring Functions. - Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava:
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam. - Farzad Abdolhosseini, Behrooz Azarkhalili, Abbas Maazallahi, Aryan Kamal, Seyed Abolfazl Motahari, Ali Sharifi-Zarchi, Hamidreza Chitsaz:
Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks. - Tohru Nitta:
Weight Initialization without Local Minima in Deep Nonlinear Neural Networks. - Mathew Shaji Kavalekalam, Jesper Kjær Nielsen, Jesper Bünsow Boldt, Mads Græsbøll Christensen:
Model-based Speech Enhancement for Intelligibility Improvement in Binaural Hearing Aids. - Fabien Durand
Decidability of the isomorphism and the factorization between minimal substitution subshifts. - Paul Bertens, Anna Guitart, Pei Pei Chen, África Periáñez:
A Machine-Learning Item Recommendation System for Video Games. - Luca Franceschi, Paolo Frasconi, Saverio Salzo, Massimiliano Pontil:
Bilevel Programming for Hyperparameter Optimization and Meta-Learning. - Volker Fischer, Jan Köhler, Thomas Pfeil:
The streaming rollout of deep networks - towards fully model-parallel execution. - Søren Hauberg:
Only Bayes should learn a manifold (on the estimation of differential geometric structure from data). - Pablo Guillén-Rondon, Melvin Deloyd Robinson, Carlos Torres
Support Vector Machine Application for Multiphase Flow Pattern Prediction. - Shiyu Zhou, Shuang Xu, Bo Xu:
Multilingual End-to-End Speech Recognition with A Single Transformer on Low-Resource Languages. - Tatiana Tatarenko, Maryam Kamgarpour:
Minimizing Regret in Bandit Online Optimization in Unconstrained and Constrained Action Spaces. - Jingyan Wang, Nihar B. Shah:
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings. - Carson Eisenach, Florentina Bunea, Yang Ning, Claudiu Dinicu:
High-Dimensional Inference for Cluster-Based Graphical Models. - Mikhail Belkin, Daniel Hsu, Partha Mitra:
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate. - Subba Reddy Oota, Naresh Manwani, Raju S. Bapi:
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings. - Vikas Verma, Alex Lamb, Christopher Beckham, Aaron C. Courville, Ioannis Mitliagkas, Yoshua Bengio:
Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer. - Tarun Yellamraju, Jonas Hepp, Mireille Boutin:
Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems. - Anthony Bonato, William B. Kinnersley:
Bounds on the localization number. - Jonah Casebeer, Brian Luc, Paris Smaragdis:
Multi-View Networks for Denoising of Arbitrary Numbers of Channels. - Tarun Yellamraju, Mireille Boutin:
Pattern Dependence Detection using n-TARP Clustering. - Laura Schultz, Vadim Sokolov:
Deep Reinforcement Learning for Dynamic Urban Transportation Problems. - Yibo Yang, Nicholas Ruozzi, Vibhav Gogate:
Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization. - Kohei Yamamoto, Kurato Maeno:
PCAS: Pruning Channels with Attention Statistics. - Karol Gellert, Erik Schlögl:
Parameter Learning and Change Detection Using a Particle Filter With Accelerated Adaptation. - Lechao Xiao, Yasaman Bahri, Jascha Sohl-Dickstein, Samuel S. Schoenholz, Jeffrey Pennington:
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks. - Minmin Chen, Jeffrey Pennington, Samuel S. Schoenholz:
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks. - Arnu Pretorius, Steve Kroon, Herman Kamper:
Learning Dynamics of Linear Denoising Autoencoders. - Tal Levy, Alireza Vahid, Raja Giryes:
Ranking Recovery from Limited Comparisons using Low-Rank Matrix Completion. - Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars:
Selfless Sequential Learning. - Atsushi Nitanda, Taiji Suzuki:
Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors. - Mark van der Boor, Sem C. Borst, Johan S. H. van Leeuwaarden, Debankur Mukherjee:
Scalable load balancing in networked systems: A survey of recent advances. - Marton Havasi, José Miguel Hernández-Lobato, Juan José Murillo-Fuentes:
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo. - Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner:
Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing. - Cencheng Shen, Joshua T. Vogelstein:
The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing. - Paul Burkhardt, Vance Faber, David G. Harris:
Bounds and algorithms for k-truss. - Anamaria Costache, Brooke Feigon, Kristin E. Lauter, Maike Massierer, Anna Puskás:
Ramanujan graphs in cryptography. - Yanping Wang, WeiGuo Zhang, Daniele Bartoli, Qiang Wang:
Permutation polynomials and complete permutation polynomials over Fq3. - Ming Yu, Varun Gupta, Mladen Kolar:
Learning Influence-Receptivity Network Structure with Guarantee. - Zeev Dvir, Shay Moran:
A Sauer-Shelah-Perles Lemma for Sumsets. - John C. Duchi, Feng Ruan:
The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information. - Ari S. Morcos, Maithra Raghu, Samy Bengio:
Insights on representational similarity in neural networks with canonical correlation. - Jonathan Klawitter:
The agreement distance of rooted phylogenetic networks. - Christoph Brauer, Dirk A. Lorenz:
Primal-dual residual networks. - Simon Abelard, Pierrick Gaudry, Pierre-Jean Spaenlehauer:
Counting points on genus-3 hyperelliptic curves with explicit real multiplication. - Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret:
Data-Efficient Design Exploration through Surrogate-Assisted Illumination. - I (Eli) Chien, Chao Pan, Olgica Milenkovic:
Query K-means Clustering and the Double Dixie Cup Problem. - Jin Xu, Yee Whye Teh:
Controllable Semantic Image Inpainting. - Maria Letizia Bertotti, Giovanni Modanese:
The Bass diffusion model on finite Barabasi-Albert networks. - C. Wetterich:
Quantum computing with classical bits. - Ivan Glasser, Nicola Pancotti, J. Ignacio Cirac:
Supervised learning with generalized tensor networks. - Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez:
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors. - Renaud Lambiotte, Martin Rosvall, Ingo Scholtes:
Understanding Complex Systems: From Networks to Optimal Higher-Order Models. - Markus Wulfmeier:
On Machine Learning and Structure for Mobile Robots. - Samuel Fiorini, Marco Macchia, Kanstantsin Pashkovich:
Bounds on the number of 2-level polytopes, cones and configurations. - Roel Dobbe, Ye Pu, Jingge Zhu, Kannan Ramchandran, Claire J. Tomlin:
Customized Local Differential Privacy for Multi-Agent Distributed Optimization. - Ed Bennett, Mark Dawson, Michele Mesiti, Jarno Rantaharju:
AVX-512 extension to OpenQCD 1.6. - Richard Combes, Mikael Touati:
Computationally Efficient Estimation of the Spectral Gap of a Markov Chain. - (Withdrawn) Probabilistic Trajectory Segmentation by Means of Hierarchical Dirichlet Process Switching Linear Dynamical Systems.
- Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti:
Stability Conditions for Cluster Synchronization in Networks of Kuramoto Oscillators. - Shixiang Zhu, Yao Xie:
Crime Event Embedding with Unsupervised Feature Selection. - William Fleshman, Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean:
Non-Negative Networks Against Adversarial Attacks. - Mikko Närhi, Lauri Salmela, Juha Toivonen, Cyril Billet, John M. Dudley, Goëry Genty:
Machine learning for prediction of extreme statistics in modulation instability. - Siyuan Ma, Mikhail Belkin:
Learning kernels that adapt to GPU. - Amir Ali Ahmadi, Georgina Hall:
On the Complexity of Detecting Convexity over a Box. - Arjun Sondhi, Ali Shojaie:
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks. - Michel Boyer, Rotem Liss
Attacks against a Simplified Experimentally Feasible Semiquantum Key Distribution Protocol. - Dong Eui Chang:
Observer-Based Controller Design for Systems on Manifolds in Euclidean Space. - Ivan Stelmakh, Nihar B. Shah, Aarti Singh:
PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review. - Dmitry I. Khomovsky:
Generalizations of the Durand-Kerner method. - Hiliwi Leake Kidane
Comparative survey of visual object classifiers. - Rebekka Burkholz, Alina Dubatovka:
Exact information propagation through fully-connected feed forward neural networks. - Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam:
How Could Polyhedral Theory Harness Deep Learning? - Nisheeth K. Vishnoi:
Geodesic Convex Optimization: Differentiation on Manifolds, Geodesics, and Convexity. - Shan Shi, Farouk S. Nathoo:
Feature Learning and Classification in Neuroimaging: Predicting Cognitive Impairment from Magnetic Resonance Imaging. - David Van Veen, Ajil Jalal, Eric Price, Sriram Vishwanath, Alexandros G. Dimakis:
Compressed Sensing with Deep Image Prior and Learned Regularization. - Shengjia Zhao, Jiaming Song, Stefano Ermon:
The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models. - Alin Bostan, Xavier Caruso, Gilles Christol, Philippe Dumas
Fast Coefficient Computation for Algebraic Power Series in Positive Characteristic. - Anthony Strock, Nicolas P. Rougier, Xavier Hinaut:
A Simple Reservoir Model of Working Memory with Real Values. - Siavash Haghiri, Damien Garreau, Ulrike von Luxburg:
Comparison-Based Random Forests. - Andrew Burnie:
Exploring the Interconnectedness of Cryptocurrencies using Correlation Networks. - Dmitry V. Talalaev:
Asymmetric Hopfield neural network and twisted tetrahedron equation. - Vaibhav Mohanty:
A 5-Dimensional Tonnetz for Nearly Symmetric Hexachords. - Armin Askari, Forest Yang, Laurent El Ghaoui:
Kernel-based Outlier Detection using the Inverse Christoffel Function. - Branislav Gerazov, Gérard Bailly, Yi Xu:
A Weighted Superposition of Functional Contours Model for Modelling Contextual Prominence of Elementary Prosodic Contours. - Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky:
Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference. - Omar Rivasplata, Emilio Parrado-Hernández, John Shawe-Taylor
PAC-Bayes bounds for stable algorithms with instance-dependent priors. - Nathan Killoran, Thomas R. Bromley, Juan Miguel Arrazola, Maria Schuld, Nicolás Quesada, Seth Lloyd:
Continuous-variable quantum neural networks. - Luc Devroye, Abbas Mehrabian, Tommy Reddad:
The Minimax Learning Rate of Normal and Ising Undirected Graphical Models. - Jie Liu, Tingting Chen, Guilin Wen, Qixiang Qing, Ramin Sedaghati, Yi Min Xie:
On sound insulation of pyramidal lattice sandwich structure. - Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti:
Overlapping Clustering Models, and One (class) SVM to Bind Them All. - JongRoul Woo, Christopher L. Magee:
Forecasting the value of battery electric vehicles compared to internal combustion engine vehicles: the influence of driving range and battery technology. - Francis Dutil, Joseph Paul Cohen, Martin Weiss, Georgy Derevyanko, Yoshua Bengio:
Towards Gene Expression Convolutions using Gene Interaction Graphs. - Georgina Hall:
Optimization over Nonnegative and Convex Polynomials With and Without Semidefinite Programming. - Xudong Pan, Mi Zhang, Daizong Ding:
Theoretical Analysis of Image-to-Image Translation with Adversarial Learning. - Satoshi Hara, Kouichi Ikeno, Tasuku Soma, Takanori Maehara:
Maximally Invariant Data Perturbation as Explanation. - Juan Ignacio Perotti, Claudio Juan Tessone, Aaron Clauset, Guido Caldarelli:
Thermodynamics of the Minimum Description Length on Community Detection. - Kevin Hendrey, David R. Wood:
Defective and Clustered Choosability of Sparse Graphs. - Moein Sarvaghad-Moghaddam, Ahmed Farouk, Hussein Abulkasim:
Bidirectional Quantum Controlled Teleportation by Using Five-qubit Entangled State as a Quantum Channel. - Minjia Shi, Denis S. Krotov, Patrick Solé:
A new distance-regular graph of diameter 3 on 1024 vertices. - Van Sy Mai, Eyad H. Abed:
Optimizing Leader Influence in Networks through Selection of Direct Followers. - Van Sy Mai, Eyad H. Abed:
Distributed Optimization over Directed Graphs with Row Stochasticity and Constraint Regularity. - Santtu Tikka, Juha Karvanen:
Simplifying Probabilistic Expressions in Causal Inference. - Santtu Tikka, Juha Karvanen:
Enhancing Identification of Causal Effects by Pruning. - Jarkko Kari, Etienne Moutot:
Nivat's Conjecture and Pattern Complexity in Algebraic Subshifts. - Seyyed Mehdi Hosseini Jenab:
Cross-country comparisons of scientific performance by focusing on post-apartheid South Africa. - Marco Palombo, Daniel C. Alexander, Hui Zhang:
A generative model of realistic brain cells with application to numerical simulation of diffusion-weighted MR signal. - Jack Baker, Paul Fearnhead
Large-Scale Stochastic Sampling from the Probability Simplex. - Jie Fan:
A road to ultrafilter extensions. - Alexandru Paler, Alwin Zulehner, Robert Wille:
NISQ circuit compilers: search space structure and heuristics. - Justine Lequesne, Philippe Regnault:
vsgoftest: An Package for Goodness-of-Fit Testing Based on Kullback-Leibler Divergence. - Canyi Lu:
Tensor-Tensor Product Toolbox. - Pranab Sen:
Inner bounds via simultaneous decoding in quantum network information theory. - Pranab Sen:
A one-shot quantum joint typicality lemma. - Mejdi Ben Dkhil, Mohamed Neji, Ali Wali, Adel M. Alimi:
A new approach for a safe car assistance system. - Mejdi Ben Dkhil, Ali Wali, Adel M. Alimi:
Drowsy Driver Detection by EEG Analysis Using Fast Fourier Transform. - Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski:
Canonical Tensor Decomposition for Knowledge Base Completion. - Sohail Bahmani:
Estimation from Non-Linear Observations via Convex Programming with Application to Bilinear Regression. - Shubhayan Sarkar, Colin Benjamin:
Quantum Nash equilibrium in the thermodynamic limit. - Aden Forrow, Jan-Christian Hütter, Mor Nitzan, Geoffrey Schiebinger, Philippe Rigollet, Jonathan Weed:
Statistical Optimal Transport via Geodesic Hubs. - Alexander I. Barvinok:
Approximating real-rooted and stable polynomials, with combinatorial applications. - Corey Harris, Martin Helmer:
Effective Intersection Theory. - Jasper van der Waa, Marcel Robeer
Contrastive Explanations with Local Foil Trees. - Xiaoran Yan, Lucas G. S. Jeub, Alessandro Flammini, Filippo Radicchi, Santo Fortunato:
Weight Thresholding on Complex Networks. - Yichi Zhang, Siyu Tao, Wei Chen, Daniel W. Apley:
A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors. - Alexandre Lacoste, Boris N. Oreshkin, Wonchang Chung, Thomas Boquet, Negar Rostamzadeh, David Krueger:
Uncertainty in Multitask Transfer Learning. - Mostafa Karimi, Di Wu, Zhangyang Wang, Yang Shen:
DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks. - Clara Stegehuis, Laurent Massoulié:
Efficient inference in stochastic block models with vertex labels. - Abhishek Halder:
Smallest Ellipsoid Containing p-Sum of Ellipsoids with Application to Reachability Analysis. - Takeru Matsuda, Akimichi Takemura:
Game-theoretic derivation of upper hedging prices of multivariate contingent claims and submodularity. - Hao Song, Meelis Kull, Peter A. Flach:
Non-Parametric Calibration of Probabilistic Regression. - Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu:
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification. - Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow:
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. - Weijia Lu, Jie Shuai, Shuyan Gu, Joel Xue:
Method to Annotate Arrhythmias by Deep Network. - Felix A. Heilmeyer, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Martin Völker, Joos Behncke, Tonio Ball:
A framework for large-scale evaluation of deep learning for EEG. - W. Max Lees, Adam Wunderlich, Peter Jeavons, Paul D. Hale, Michael R. Souryal:
Deep Learning Classification of 3.5 GHz Band Spectrograms with Applications to Spectrum Sensing. - Jonathan H. Huggins, Lester Mackey:
Random Feature Stein Discrepancies. - Xiao Zhang, Yaodong Yu, Lingxiao Wang, Quanquan Gu:
Learning One-hidden-layer ReLU Networks via Gradient Descent. - Hossein Keshavarz, George Michailidis, Yves F. Atchadé:
Sequential change-point detection in high-dimensional Gaussian graphical models. - Eonassis O. Santos, Joberto S. B. Martins
Distribution Power Network Reconfiguration in the Smart Grid. - Chenzhe Diao, Bin Han:
Generalized Matrix Spectral Factorization and Quasi-tight Framelets with Minimum Number of Generators. - Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang:
Fairness Without Demographics in Repeated Loss Minimization. - Valery Isaev:
Indexed type theories. - Arpita Gang, Pravesh Biyani, Akshay Soni:
Towards Automated Single Channel Source Separation using Neural Networks. - Constantin Grigo, Phaedon-Stelios Koutsourelakis:
A data-driven model order reduction approach for Stokes flow through random porous media. - Umut Simsekli, Antoine Liutkus, Szymon Majewski, Alain Durmus:
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions. - Zhi Xiao, Zhe Luo, Bo Zhong, Xin Dang:
Robust and Efficient Boosting Method using the Conditional Risk. - Jose M. Peña:
Identifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances. - Philip J. H. Jørgensen, Søren Føns Vind Nielsen, Jesper Løve Hinrich
Probabilistic PARAFAC2. - George Panagopoulos:
A Review of Network Inference Techniques for Neural Activation Time Series. - Ard de Gelder, Henkjan J. Huisman:
Autoencoders for Multi-Label Prostate MR Segmentation. - Aboul Ella Hassanien, Moataz Kilany, Essam H. Houssein:
Combining Support Vector Machine and Elephant Herding Optimization for Cardiac Arrhythmias. - Sam Abernethy:
Dynamic Network 3 - 0 FIFA Rankings: Replacing an inaccurate, biased, and exploitable football ranking system. - Adrian Rivera Cardoso, He Wang, Huan Xu:
Online Saddle Point Problem with Applications to Constrained Online Convex Optimization. - Paul Anthony Haigh, Petr Chvojka, Zabih Ghassemlooy, Stanislav Zvanovec, Izzat Darwazeh:
Non-Orthogonal Multi-band CAP for Highly Spectrally Efficient VLC Systems. - Brendan Fong, David I. Spivak:
Hypergraph Categories. - Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, Chris Pal:
Fashion-Gen: The Generative Fashion Dataset and Challenge. - Andrew D. King, William Bernoudy, James King, Andrew J. Berkley, Trevor Lanting:
Emulating the coherent Ising machine with a mean-field algorithm. - Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao:
Virtual Codec Supervised Re-Sampling Network for Image Compression. - Apostolos I. Rikos, Christoforos N. Hadjicostis:
Distributed Average Consensus under Quantized Communication via Event-Triggered Mass Summation. - Lin Guo, Hui Ye, Wenbo Su, Henhuan Liu, Kai Sun, Hang Xiang:
Visualizing and Understanding Deep Neural Networks in CTR Prediction. - Laurence Aitchison:
Tensor Monte Carlo: particle methods for the GPU era. - Yu Gu, Yongguo Kang:
Multi-task WaveNet: A Multi-task Generative Model for Statistical Parametric Speech Synthesis without Fundamental Frequency Conditions. - Juan Eugenio Iglesias, Ricardo Insausti, Garikoitz Lerma-Usabiaga, Martina Bocchetta, Koen Van Leemput, Douglas N. Greve, André J. W. van der Kouwe, Bruce Fischl, César Caballero-Gaudes, Pedro M. Paz-Alonso:
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology. - (Withdrawn) Acyclicity in finite groups and groupoids.
- Rita Kuznetsova, Oleg Yu. Bakhteev:
Variational Bi-domain Triplet Autoencoder. - Christos Ellinas:
Team dynamics during the delivery of a large-scale, engineered system. - Hendrik Schawe, Jitesh Kumar Jha, Alexander K. Hartmann:
Replica Symmetry and Replica Symmetry Breaking for the Traveling Salesperson Problem. - Branislav Gerazov, Gérard Bailly, Omar Mohammed, Yi Xu, Philip N. Garner:
A Variational Prosody Model for the decomposition and synthesis of speech prosody. - Feng Hu, Lucas Lamata, Mikel Sanz, Xi Chen, Xingyuan Chen, Chao Wang, Enrique Solano:
Quantum computing cryptography: Unveiling cryptographic Boolean functions with quantum annealing. - Naoki Masuda, Sadamori Kojaku, Yukie Sano:
A configuration model for correlation matrices. - Karim A. Adiprasito, Imre Bárány, Nabil H. Mustafa:
Theorems of Carathéodory, Helly, and Tverberg without dimension. - Ying-Jun Guo:
On the regularity of the Hankel determinant sequence of the characteristic sequence of powers. - Nasim Rahaman, Devansh Arpit, Aristide Baratin, Felix Draxler
On the Spectral Bias of Deep Neural Networks. - Uta Grothkopf, Silvia Meakins
ESO telbib: learning from experience, preparing for the future. - Andrew Powell:
A Universal Hypercomputer. - Deepthi Mary Dilip, DianChao Lin, Saif Eddin Jabari:
Learning Traffic Flow Dynamics using Random Fields. - Johannes Bausch
Quantum Codes from Neural Networks. - Joseph M. Antognini, Jascha Sohl-Dickstein:
PCA of high dimensional random walks with comparison to neural network training. - Maliheh Aramon, Gili Rosenberg, Toshiyuki Miyazawa, Hirotaka Tamura, Helmut G. Katzgraber:
Physics-inspired optimization for constraint-satisfaction problems using a digital annealer. - James Melbourne:
Rearrangement and Prekopa-Leindler type inequalities. - Ricardo Baptista, Matthias Poloczek:
Bayesian Optimization of Combinatorial Structures. - Hamid Eghbal-zadeh, Lukas Fischer, Niko Popitsch, Florian Kromp, Sabine Taschner-Mandl, Khaled Koutini, Teresa Gerber, Eva Bozsaky, Peter F. Ambros, Inge M. Ambros, Gerhard Widmer, Bernhard Alois Moser:
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data. - Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen:
The Sparse Manifold Transform. - Ning Zhang, Zhou Yu, Qiang Wu:
Overlapping Sliced Inverse Regression for Dimension Reduction. - Przemyslaw Biecek:
DALEX: explainers for complex predictive models. - (Withdrawn) Almost optimal Boolean matrix multiplication [BMM]-by multi-encoding of rows and columns.
- Yao Zhou, Jingrui He:
Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching. - Joseph W. Iverson, Dustin G. Mixon:
Doubly transitive lines I: Higman pairs and roux. - Marek Rychlik:
Deductron - A Recurrent Neural Network. - Anna Choromanska, Sadhana Kumaravel, Ronny Luss, Irina Rish, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf:
Beyond Backprop: Alternating Minimization with co-Activation Memory. - Raanan Y. Yehezkel Rohekar, Shami Nisimov, Guy Koren, Yaniv Gurwicz, Gal Novik:
Constructing Deep Neural Networks by Bayesian Network Structure Learning. - Fábio P. Itturriet, Márcio H. Costa:
Perceptually Relevant Preservation of Interaural Time Differences in Binaural Hearing Aids. - Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic:
A Unified Analysis of Random Fourier Features. - Luca Bonaventura, Alessandro Della Rocca:
Convergence analysis of a cell centered finite volume diffusion operator on non-orthogonal polyhedral meshes. - Risi Kondor, Zhen Lin, Shubhendu Trivedi:
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network. - Weili Nie, Ankit Patel:
JR-GAN: Jacobian Regularization for Generative Adversarial Networks. - Hao Li, Yongguo Kang, Zhenyu Wang:
EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System. - David Alvarez-Melis, Stefanie Jegelka, Tommi S. Jaakkola:
Towards Optimal Transport with Global Invariances. - Pierre Ablin, Jean-François Cardoso
Accelerating likelihood optimization for ICA on real signals. - Claudio Gambella, Jakub Marecek, Martin Mevissen, Jose Maria Fernandez Ortega, Sara Pezic Djukic, Mustafa Pezic:
Transmission-Constrained Unit Commitment. - Ziyue Zhao, Huijun Liu, Tim Fingscheidt:
Convolutional Neural Networks to Enhance Coded Speech. - Igor Fabrici, Jochen Harant, Samuel Mohr, Jens M. Schmidt:
Even Longer Cycles in Essentially 4-Connected Planar Graphs. - Manan Gandhi, Keuntaek Lee, Yunpeng Pan, Evangelos A. Theodorou:
Propagating Uncertainty through the tanh Function with Application to Reservoir Computing. - Tomasz Witczak:
Simple example of weak modal logic based on intuitionistic core. - Benjamin Recht:
A Tour of Reinforcement Learning: The View from Continuous Control. - Wouter M. Kouw, Marco Loog:
Target Contrastive Pessimistic Discriminant Analysis. - Mikhail Belkin, Alexander Rakhlin, Alexandre B. Tsybakov:
Does data interpolation contradict statistical optimality? - Joos Behncke, Robin Tibor Schirrmeister, Martin Völker, Andreas Schulze-Bonhage, Wolfram Burgard, Tonio Ball:
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding. - Pierre Bonardo, Anna E. Frid:
Number of valid decompositions of Fibonacci prefixes. - Cheng Mao, Ashwin Pananjady, Martin J. Wainwright:
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations. - Andreas Svensson, Fredrik Lindsten:
Learning dynamical systems with particle stochastic approximation EM. - Hoai An Le Thi, Hoai Minh Le, Phan Duy Nhat, Bach Tran:
A DCA-Like Algorithm and its Accelerated Version with Application in Data Visualization. - Gábor Ivanyos, Anupam Prakash, Miklos Santha:
On learning linear functions from subset and its applications in quantum computing. - V. I. Dorozhinsky, O. V. Pavlovsky:
Artificial Quantum Neural Network: quantum neurons, logical elements and tests of convolutional nets. - Rajat Sen, Karthikeyan Shanmugam, Himanshu Asnani, Arman Rahimzamani, Sreeram Kannan:
Mimic and Classify : A meta-algorithm for Conditional Independence Testing. - Kush R. Varshney, Prashant Khanduri, Pranay Sharma, Shan Zhang, Pramod K. Varshney:
Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory. - Amir Karami, Noelle M. Pendergraft:
Computational Analysis of Insurance Complaints: GEICO Case Study. - Yichao Ma, Xinyang Hong, Jian Zhuang, Zhijia Sun, Yafan Tao, Yongsheng Shi, Jianrong Zhou:
Design of TDC ASIC based on Temperature Compensation. - Robin Hirsch, Brett McLean:
The temporal logic of two-dimensional Minkowski spacetime with slower-than-light accessibility is decidable. - Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss:
On Representer Theorems and Convex Regularization. - Jacek Gondzio, F. N. C. Sobral:
Quasi-Newton approaches to Interior Point Methods for quadratic problems. - Alessandro Rudi, Carlo Ciliberto, Gian Maria Marconi, Lorenzo Rosasco:
Manifold Structured Prediction. - Philip Botros, Jakub M. Tomczak:
Hierarchical VampPrior Variational Fair Auto-Encoder. - Carlos Alberto Gomez-Uribe, Brian Karrer:
The decoupled extended Kalman filter for dynamic exponential-family factorization models. - Muzammil Behzad, Manal Abdullah, Muhammad Talal Hassan, Yao Ge, Mahmood Ashraf Khan:
Toward Performance Optimization in IoT-based Next-Gen Wireless Sensor Networks. - Jinchao Liu, Stuart J. Gibson, James Mills, Margarita Osadchy:
Dynamic Spectrum Matching with One-shot Learning. - David Hartman, Milan Hladík:
Regularity radius: Properties, approximation and a not a priori exponential algorithm. - Olesya Mryglod:
Scientometric analysis of Condensed Matter Physics journal. - S. Q. Liu, Zhenshan Ji, Yong Wang, Zuchao Zhang:
Real time state monitoring and fault diagnosis system for motor based on LabVIEW. - Martin Burger, Yury Korolev
Convergence rates and structure of solutions of inverse problems with imperfect forward models. - Dror Simon, Jeremias Sulam, Yaniv Romano, Yue M. Lu, Michael Elad:
Improving Pursuit Algorithms Using Stochastic Resonance. - Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi, Felix X. Yu, Daniel Niels Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar:
The Sparse Recovery Autoencoder. - Yossi Arjevani, Ohad Shamir, Nathan Srebro:
A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates. - Jonathan H. Huggins, Trevor Campbell, Mikolaj Kasprzak, Tamara Broderick:
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees. - Xuan Wang, Shaoshuai Mou, Shreyas Sundaram:
A Resilient Convex Combination for consensus-based distributed algorithms. - Shinichi Mogami, Hayato Sumino, Daichi Kitamura, Norihiro Takamune, Shinnosuke Takamichi, Hiroshi Saruwatari, Nobutaka Ono:
Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation. - Kristof T. Schütt, Michael Gastegger, Alexandre Tkatchenko, Klaus-Robert Müller:
Quantum-chemical insights from interpretable atomistic neural networks. - Xi Chen, Yining Wang, Yuan Zhou:
Dynamic Assortment Selection under the Nested Logit Models. - Rahul Yedida, Rahul Reddy, Rakshit Vahi, Rahul Jana, Abhilash G. V., Deepti Kulkarni:
Employee Attrition Prediction. - François G. Germain, Qifeng Chen, Vladlen Koltun:
Speech Denoising with Deep Feature Losses. - Manjit Singh:
Weight distributions of all irreducible μ-constacyclic codes of length 𝓁n. - Reza Jamalzadeh, Sajjad Abedi, Masoud RashidiNejad, Mingguo Hong:
Price-Based Market Clearing with V2G Integration Using Generalized Benders Decomposition. - Victor Veitch, Morgane Austern, Wenda Zhou, David M. Blei, Peter Orbanz:
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data. - Patrick L. McDermott, Christopher K. Wikle:
Hierarchical (Deep) Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting. - Michael Brand:
Risk-averse estimation, an axiomatic approach to inference, and Wallace-Freeman without MML. - Benjamin Peherstorfer, Karen Willcox, Max D. Gunzburger:
Survey of multifidelity methods in uncertainty propagation, inference, and optimization. - Klajdi Sinani, Serkan Gugercin:
H2(tf) Optimality Conditions for a Finite-time Horizon. - Seth Nabarro, Tristan Fletcher, John Shawe-Taylor:
Spatiotemporal Prediction of Ambulance Demand using Gaussian Process Regression. - Rohitash Chandra, R. Dietmar Müller, Ratneel Deo, Nathaniel Butterworth, Tristan Salles, Sally Cripps:
Multi-core parallel tempering Bayeslands for basin and landscape evolution. - Daniel Kühn, Philipp Probst, Janek Thomas, Bernd Bischl:
Automatic Exploration of Machine Learning Experiments on OpenML. - Federico Ricci-Tersenghi, Guilhem Semerjian, Lenka Zdeborová:
Typology of phase transitions in Bayesian inference problems. - Eric C. Chi, Stefan Steinerberger:
Recovering Trees with Convex Clustering. - Ryan L. Mann, Michael J. Bremner:
Approximation Algorithms for Complex-Valued Ising Models on Bounded Degree Graphs. - Mustafa Emara, Miltiades C. Filippou, Ingolf Karls:
Availability and Reliability of Wireless Links in 5G Systems: A Space-Time Approach. - Jacob R. Kauffmann, Grégoire Montavon, Luiz Alberto Lima, Shinichi Nakajima, Klaus-Robert Müller, Nico Görnitz:
Unsupervised Detection and Explanation of Latent-class Contextual Anomalies. - Shuyang Ling, Thomas Strohmer:
Certifying Global Optimality of Graph Cuts via Semidefinite Relaxation: A Performance Guarantee for Spectral Clustering. - Andreas Kasis, Nima Monshizadeh, Ioannis Lestas:
A novel distributed secondary frequency regulation scheme for power networks with high order turbine governor dynamics. - Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek:
Bayesian Deep Learning on a Quantum Computer. - Ardymulya Iswardani, Wahyu Hidayat:
Mammographic Image Enhancement using Digital Image Processing Technique. - Simon Lyddon, Stephen Walker, Christopher C. Holmes:
Nonparametric learning from Bayesian models with randomized objective functions. - Mohammad Ali Javidian, Marco Valtorta:
Comment on: Decomposition of structural learning about directed acyclic graphs [1]. - Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Privacy of Dependent Users Against Statistical Matching. - Justin Deters, Jiaye Wu, Yifan Xu, I-Ting Angelina Lee:
A NUMA-Aware Provably-Efficient Task-Parallel Platform Based on the Work-First Principle. - Zhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Siyuan Zhang
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation. - Gamaleldin F. Elsayed, Ian J. Goodfellow, Jascha Sohl-Dickstein:
Adversarial Reprogramming of Neural Networks. - Sérgio Medeiros, Fabio Mascarenhas:
Syntax Error Recovery in Parsing Expression Grammars. - Andrey Gorshenin:
Toward modern educational IT-ecosystems: from learning management systems to digital platforms. - Hui Ma, Julian Cheng, Xianfu Wang:
Secrecy Beamforming for SWIPT MISO Heterogeneous Cellular Networks. - J. Tilak Ratnanather, Sylvain Arguillère, Kwame S. Kutten, Peter Hubka, Andrej Kral, Laurent Younes:
3D Normal Coordinate Systems for Cortical Areas. - Zhiyu Lin, Kyle Xiao, Mark O. Riedl:
GenerationMania: Learning to Semantically Choreograph. - Taylor B. Arnold, Lauren Tilton:
Cross-Discourse and Multilingual Exploration of Textual Corpora with the DualNeighbors Algorithm. - Thomas Tanay, Lewis D. Griffin:
A New Angle on L2 Regularization. - Guofei Pang, Liu Yang, George E. Karniadakis:
Neural-net-induced Gaussian process regression for function approximation and PDE solution. - Veera Raghavendra Chikka, Kamalakar Karlapalem:
A hybrid deep learning approach for medical relation extraction. - M. Hadi Amini, Javad Mohammadi, Soummya Kar
Fully Distributed Cooperative Charging for Plug-in Electric Vehicles in Constrained Power Networks. - Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas:
CR-GAN: Learning Complete Representations for Multi-view Generation. - Nghia Doan, Seyyed Ali Hashemi, Marco Mondelli, Warren J. Gross:
On the Decoding of Polar Codes on Permuted Factor Graphs. - Serena Lutong Wang, Maya R. Gupta, Seungil You:
Quit When You Can: Efficient Evaluation of Ensembles with Ordering Optimization. - Brendan Juba:
Polynomial-time probabilistic reasoning with partial observations via implicit learning in probability logics. - Maya R. Gupta, Andrew Cotter, Mahdi Milani Fard, Serena Lutong Wang:
Proxy Fairness. - Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier:
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. - Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank C. Sciurba, Barnabás Póczos, Kayhan N. Batmanghelich:
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. - Dongqi Su, Ying Yin Ting, Jason Ansel:
Tight Prediction Intervals Using Expanded Interval Minimization. - (Withdrawn) Active query-driven visual search using probabilistic bisection and convolutional neural networks.
- Murium Iqbal, Adair Kovac, Kamelia Aryafar:
A Multimodal Recommender System for Large-scale Assortment Generation in E-commerce. - Yu Kong, Yun Fu:
Human Action Recognition and Prediction: A Survey. - Mengbin Ye, Yuzhen Qin, Alain Govaert, Brian D. O. Anderson, Ming Cao:
An Influence Network Model to Study Discrepancies in Expressed and Private Opinions. - Wonjoon Goo, Scott Niekum:
Learning Multi-Step Robotic Tasks from Observation. - Rory Mitchell, Andrey Adinets, Thejaswi Rao, Eibe Frank:
XGBoost: Scalable GPU Accelerated Learning. - Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang:
Neural Machine Translation with Key-Value Memory-Augmented Attention. - Meng Hua, Yi Wang, Qingqing Wu, Chunguo Li, Yongming Huang, Luxi Yang:
Energy Optimization for Cellular-Connected Multi-UAV Mobile Edge Computing Systems with Multi-Access Schemes. - David Scott Hunter, Tauhid Zaman:
Opinion Dynamics with Stubborn Agents. - Somaiyeh Mahmoud Zadeh, Reza Bairam Zadeh:
Efficient Deployment and Mission Timing of Autonomous Underwater Vehicles in Large-Scale Operations. - Chuanxing Geng, Songcan Chen:
Hierarchical Dirichlet Process-based Open Set Recognition. - DaeHun Nyang:
Gruut: A Fully-Decentralized P2P Public Ledger. - Wenbo Wang, Zehui Xiong, Dusit Niyato, Ping Wang, Zhu Han:
A Hierarchical Game with Strategy Evolution for Mobile Sponsored Content and Service Markets. - Md. Amirul Islam, Mrigank Rochan, Shujon Naha, Neil D. B. Bruce, Yang Wang:
Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling. - Yang Xiao, Jun Chen, Zhiguo Cao, Joey Tianyi Zhou, Xiang Bai:
Action Recognition for Depth Video using Multi-view Dynamic Images. - Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani:
Multicasting Energy and Information Simultaneously. - Caitlin Gray, Lewis Mitchell
Generating Connected Random Graphs. - Eran Treister:
Shifted Laplacian multigrid for the elastic Helmholtz equation. - Philipp Winter, Anne Edmundson, Laura M. Roberts, Agnieszka Dutkowska-Zuk, Marshini Chetty, Nick Feamster:
How Do Tor Users Interact With Onion Services? - Eric Brangier, Josefina Isabel Gil Urrutia, Véronique Senderowicz, Laurent Cessat:
Beyond "Usability and User Experience" , Towards an Integrative Heuristic Inspection: from Accessibility to Persuasiveness in the UX Evaluation A Case Study on an Insurance Prospecting Tablet Application. - Jean-Guillaume Dumas
Proof-of-work certificates that can be efficiently computed in the cloud. - (Withdrawn) A General Multi-agent Epistemic Planner Based on Higher-order Belief Change.
- YouZhe Fan, ChenYang Xia, Ji Chen, Chi-Ying Tsui, Jie Jin, Hui Shen, Bin Li:
A Low-Latency List Successive-Cancellation Decoding Implementation for Polar Codes. - Fuzhou Gong, Zigeng Xia:
Generate the corresponding Image from Text Description using Modified GAN-CLS Algorithm. - (Withdrawn) Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting - Application to Belief Update and Conservative Extension.
- Jian Xu:
Excavate Condition-invariant Space by Intrinsic Encoder. - Albert Atserias, Anuj Dawar:
Definable Inapproximability: New Challenges for Duplicator. - Frank Nielsen, Ke Sun:
Guaranteed Deterministic Bounds on the Total Variation Distance between Univariate Mixtures. - Nevrez Imamoglu, Yu Oishi
Hyperspectral Image Dataset for Benchmarking on Salient Object Detection. - Oluwaseun Ajao, Deepayan Bhowmik, Shahrzad Zargari:
Fake News Identification on Twitter with Hybrid CNN and RNN Models. - Nicholas Asher, Soumya Paul:
Bias in Semantic and Discourse Interpretation. - Guilhem Chéron, Jean-Baptiste Alayrac, Ivan Laptev, Cordelia Schmid:
A flexible model for training action localization with varying levels of supervision. - Jaspreet Singh, Avishek Anand:
Posthoc Interpretability of Learning to Rank Models using Secondary Training Data. - Naoya Takeishi, Kosuke Akimoto:
Knowledge-Based Distant Regularization in Learning Probabilistic Models. - Tuanfeng Y. Wang, Duygu Ceylan, Jovan Popovic, Niloy J. Mitra:
Learning a Shared Shape Space for Multimodal Garment Design. - M. S. Ishwarya, Aswani Kumar Cherukuri:
Quantum aspects of high dimensional formal representation of conceptual spaces. - Qing Zhou, Nan Liu:
The Economics of Video Websites with Membership-Advertising Mode in Wireless Networks. - James Jordon, Jinsung Yoon, Mihaela van der Schaar:
Measuring the quality of Synthetic data for use in competitions. - Rooz Mahdavian, Richard Diehl Martinez:
Ignition: An End-to-End Supervised Model for Training Simulated Self-Driving Vehicles. - Adrien Durier, Daniel Hirschkoff, Davide Sangiorgi:
Divergence and unique solution of equations. - Ilesanmi Olade
SemanticLock: An authentication method for mobile devices using semantically-linked images. - Benjamin Kellenberger, Diego Marcos, Devis Tuia:
Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning. - Pankaj Agarwal, Sreekanth Vempati, Sumit Borar:
Personalizing Similar Product Recommendations in Fashion E-commerce. - Rune Kok Nielsen, Andreas Nugaard Holm, Aasa Feragen:
Learning from graphs with structural variation. - Tomaso A. Poggio, Qianli Liao, Brando Miranda, Andrzej Banburski, Xavier Boix, Jack Hidary:
Theory IIIb: Generalization in Deep Networks. - Samuel A. Barnett:
Convergence Problems with Generative Adversarial Networks (GANs). - Wazir Zada Khan, Mohammed Zahid, Mohammed Y. Aalsalem, Hussein Mohammed Zangoti, Quratul-Ain Arshad:
Ethical Aspects of Internet of Things from Islamic Perspective. - Sebastijan Dumancic, Alberto García-Durán, Mathias Niepert:
On embeddings as an alternative paradigm for relational learning. - Sergii Kushch, Francisco Prieto Castrillo:
A Rolling Blockchain for a Dynamic WSNs in a Smart City. - Amit Kumar Mishra:
WEBCA: Weakly-Electric-Fish Bioinspired Cognitive Architecture. - Iretiayo Akinola, Jacob Varley, Boyuan Chen, Peter K. Allen:
Workspace Aware Online Grasp Planning. - C. Bach, Linze Song, Tatjana Erhart, Fabian Duddeck:
Stability conditions for the explicit integration of projection based nonlinear reduced-order and hyper reduced structural mechanics finite element models. - Emilio Di Giacomo, William J. Lenhart, Giuseppe Liotta, Timothy W. Randolph, Alessandra Tappini:
(k, p)-Planarity: A Generalization of Hybrid Planarity. - Mohammad Mehrabi, Aslan Tchamkerten, Mansoor I. Yousefi:
Bounds on the Approximation Power of Feedforward Neural Networks. - Jan Kretínský, Alexej Rotar:
The Satisfiability Problem for Unbounded Fragments of Probabilistic CTL. - Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter
Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs. - Anton Korniienko, Xavier Bombois, Håkan Hjalmarsson, Gérard Scorletti:
Hierarchical Robust Analysis for Identified Systems in Network. - Shreya Singh, G. Mohammed Abdulla, Sumit Borar, Sagar Arora:
Footwear Size Recommendation System. - Aniket Jain, Yadunath Gupta, Pawan Kumar Singh, Aruna Rajan:
Understanding Fashionability: What drives sales of a style? - Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
Towards real-time unsupervised monocular depth estimation on CPU. - Flávio R. Massaro Jr., Paulo Sérgio Martins, Edson Luiz Ursini:
Integrating Proactive Mode Changes in Mixed Criticality Systems. - Richard Diehl Martinez, John Kaleialoha Kamalu:
Using General Adversarial Networks for Marketing: A Case Study of Airbnb. - Carmen García-Peña, Luis Miguel Gutiérrez-Robledo, Augusto Cabrera-Becerril, David Fajardo-Ortiz:
Team assembly mechanisms and the knowledge produced in the Mexico's National Institute of Geriatrics: a network analysis and agent-based modelling approach. - Casey B. Mulligan, Russell J. Bradford, James H. Davenport, Matthew England, Zak Tonks:
Non-linear Real Arithmetic Benchmarks derived from Automated Reasoning in Economics. - Martin Henze
Complying with Data Handling Requirements in Cloud Storage Systems. - Raffaele Gaetano, Dino Ienco, Kenji Ose, Rémi Cresson:
MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping. - Diego Calvanese, Silvio Ghilardi, Alessandro Gianola, Marco Montali, Andrey Rivkin:
Verification of Data-Aware Processes via Array-Based Systems (Extended Version). - Matthew Roddy, Gabriel Skantze, Naomi Harte:
Investigating Speech Features for Continuous Turn-Taking Prediction Using LSTMs. - Mehdi Faraji, Anup Basu:
Simplified Active Calibration. - Deepa Gunashekar, Sailesh Conjeti, Abhijit Guha Roy, Nassir Navab, Kuangyu Shi:
SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis. - Julia Koch, Christian Reitwießner:
A Predictable Incentive Mechanism for TrueBit. - Bo Xiao, Nicholas Monath, Shankar Ananthakrishnan, Abishek Ravi:
Play Duration based User-Entity Affinity Modeling in Spoken Dialog System. - Giacomo Micheli:
Constructions of Locally Recoverable Codes which are Optimal. - Valérie Poulin, François Théberge:
Comparing Graph Clusterings: Set partition measures vs. Graph-aware measures. - Ben London, Ted Sandler:
Bayesian Counterfactual Risk Minimization. - Sebastian Bervoets, Mario Bravo, Mathieu Faure:
Learning with minimal information in continuous games. - Chengbo Yang:
An Efficient Dispatcher for Large Scale GraphProcessing on OpenCL-based FPGAs. - Pawan Kumar Singh, Supratim Das, Ram Sarkar, Mita Nasipuri:
Recognition of Offline Handwritten Devanagari Numerals using Regional Weighted Run Length Features. - Melanie F. Pradier, Viktor Stojkoski, Zoran Utkovski, Ljupco Kocarev, Fernando Pérez-Cruz:
Sparse Three-parameter Restricted Indian Buffet Process for Understanding International Trade. - Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew J. Hausknecht, Adam Trischler:
Counting to Explore and Generalize in Text-based Games. - Ho-Chun Herbert Chang, Feng Fu:
Co-Diffusion of Social Contagions. - René van Bevern, Oxana Yu. Tsidulko, Philipp Zschoche:
Facility location under matroid constraints: fixed-parameter algorithms and applications. - Chen Zhang, Marta Molinas, Xu Cai, Atle Rygg:
Understanding the Nonlinear Behavior and Frequency Stability of a Grid-synchronized VSC Under Grid Voltage Dips. - John K. Tsotsos, Iuliia Kotseruba, Amir Rasouli, Markus D. Solbach:
Visual Attention and its Intimate Links to Spatial Cognition. - Baris Nakiboglu:
The Sphere Packing Bound for DSPCs with Feedback a la Augustin. - Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew J. Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler:
TextWorld: A Learning Environment for Text-based Games. - Davi Frossard, Raquel Urtasun:
End-to-end Learning of Multi-sensor 3D Tracking by Detection. - Amirhossein Reisizadeh, Aryan Mokhtari, S. Hamed Hassani, Ramtin Pedarsani:
Quantized Decentralized Consensus Optimization. - Yikang Li, Wanli Ouyang, Bolei Zhou, Yawen Cui, Jianping Shi, Xiaogang Wang:
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation. - Raj Kumar Maity, Arya Mazumdar, Soumyabrata Pal:
High Dimensional Discrete Integration by Hashing and Optimization. - Arezoo Khatibi, Omid Khatibi:
Efficient Multichannel in XML Wireless Broadcast Stream. - Philip Colangelo, Nasibeh Nasiri, Asit K. Mishra, Eriko Nurvitadhi, Martin Margala, Kevin Nealis:
Exploration of Low Numeric Precision Deep Learning Inference Using Intel FPGAs. - Tyler Helmuth, Will Perkins, Guus Regts:
Algorithmic Pirogov-Sinai theory. - Li Lin, Xiaofei Liao:
Echo: An Edge-Centric Code Offloading System with Quality of Service Guarantee. - Arezoo Khatibi, Omid Khatibi:
An Improved Energy-Aware Clustering Method for the Regional Queries in the Internet of Things. - Matheus F. Torquato, Marcelo A. C. Fernandes:
High-Performance Parallel Implementation of Genetic Algorithm on FPGA. - Helmut Harbrecht, Peter Zaspel:
A scalable H-matrix approach for the solution of boundary integral equations on multi-GPU clusters. - Natasha Alechina, Brian Logan:
Resource Logics with a Diminishing Resource. - Mohammad Ali Amirabadi:
New expression on the performance of a novel multi-hop relay-assisted hybrid FSO / RF communication system. - Tianyi Lin, Chenyou Fan, Mengdi Wang, Michael I. Jordan:
Improved Oracle Complexity for Stochastic Compositional Variance Reduced Gradient. - Adrian Kent:
Summonable Supermoney: virtual tokens for a relativistic economy. - Rubén Sevilla, Matteo Giacomini, Antonio Huerta:
A locking-free face-centred finite volume (FCFV) method for linear elasticity.
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