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CoRR, November 2017
- (Withdrawn) Gene Ontology (GO) Prediction using Machine Learning Methods.
- Hanzhang Hu, Debadeepta Dey, Allison Del Giorno, Martial Hebert, J. Andrew Bagnell:
Log-DenseNet: How to Sparsify a DenseNet. - Gaurav Bhatt, Piyush Jha, Balasubramanian Raman:
Common Representation Learning Using Step-based Correlation Multi-Modal CNN. - Fei Wang, Xiaofeng Gao, Guihai Chen, Jun Ye:
Accelerate RNN-based Training with Importance Sampling. - Min Xu, Yong-Yian Wang, Anthony Theodore Chronopoulos, Hao Yue:
Performance Optimization and Parallelization of a Parabolic Equation Solver in Computational Ocean Acoustics on Modern Many-core Computer. - Guillaume Lample, Ludovic Denoyer, Marc'Aurelio Ranzato:
Unsupervised Machine Translation Using Monolingual Corpora Only. - Arash Gholami Davoodi, Syed Ali Jafar:
K-User Symmetric M×N MIMO Interference Channel under Finite Precision CSIT: A GDoF perspective. - Vikash Singh:
Replace or Retrieve Keywords In Documents at Scale. - Daniel Stoller
, Sebastian Ewert, Simon Dixon:
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction. - Zhe Guo, Xiang Li, Heng Huang, Ning Guo, Quanzheng Li:
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes. - Zhenhua Zhang, Lei Lin:
Abnormal Spatial-Temporal Pattern Analysis for Niagara Frontier Border Wait Times. - Michael Dennis, Ljubomir Perkovic, Duru Türkoglu:
The Stretch Factor of Hexagon-Delaunay Triangulations. - Rose Yu, Stephan Zheng, Anima Anandkumar, Yisong Yue:
Long-term Forecasting using Tensor-Train RNNs. - Alexander A. Ageev:
Approximating the 2-Machine Flow Shop Problem with Exact Delays Taking Two Values. - Max H. Quinn, Erik Conser, Jordan M. Witte, Melanie Mitchell:
Semantic Image Retrieval via Active Grounding of Visual Situations. - Amita Misra, Shereen Oraby, Shubhangi Tandon, Sharath T. S., Pranav Anand, Marilyn A. Walker:
Summarizing Dialogic Arguments from Social Media. - Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante:
Pattern Recognition Techniques for the Identification of Activities of Daily Living using Mobile Device Accelerometer. - Gang Chen, Nan Guan, Di Liu, Qingqiang He, Kai Huang, Todor P. Stefanov, Wang Yi:
Utilization-Based Scheduling of Flexible Mixed-Criticality Real-Time Tasks. - Klaus Jansen, Felix Land:
Scheduling Monotone Moldable Jobs in Linear Time. - Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta:
A Multiple Source Framework for the Identification of Activities of Daily Living Based on Mobile Device Data. - Caiming Xiong, Victor Zhong, Richard Socher:
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering. - James W. Goldfarb:
Separation of Water and Fat Magnetic Resonance Imaging Signals Using Deep Learning with Convolutional Neural Networks. - Elliot Meyerson, Risto Miikkulainen:
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering. - Yong-Xian Wang, Lilun Zhang, Yonggang Che, Chuanfu Xu, Wei Liu, Hua-Yong Liu, Zhenghua Wang:
Improved Algorithm for Reconstructing Singular Connection in Multi-Block CFD Applications. - Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa:
Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection. - Wolfgang Fuhl, Thiago Santini, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci:
PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection. - Dariusz Biernacki, Sergueï Lenglet, Piotr Polesiuk:
Proving Soundness of Extensional Normal-Form Bisimilarities. - Chuan Guo, Mayank Rana, Moustapha Cissé, Laurens van der Maaten:
Countering Adversarial Images using Input Transformations. - Marzieh Najafi, Hedieh Ajam, Vahid Jamali, Panagiotis D. Diamantoulakis, George K. Karagiannidis, Robert Schober:
Statistical Modeling of FSO Fronthaul Channel for Drone-based Networks. - Weiren Yu, Xuemin Lin, Wenjie Zhang, Julie A. McCann:
Dynamical SimRank Search on Time-Varying Networks. - Will Grathwohl, Dami Choi, Yuhuai Wu, Geoffrey Roeder, David Duvenaud:
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation. - Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta:
User Environment Detection with Acoustic Sensors Embedded on Mobile Devices for the Recognition of Activities of Daily Living. - Abolfazl Hashemi, Haris Vikalo:
Accelerated Sparse Subspace Clustering. - Xiao Li, Yao Ma, Calin Belta:
Automata Guided Hierarchical Reinforcement Learning for Zero-shot Skill Composition. - Vahid Jamali, Nariman Farsad, Robert Schober, Andrea Goldsmith:
Diffusive Molecular Communications with Reactive Signaling. - Jacob Schreiber:
Pomegranate: fast and flexible probabilistic modeling in python. - Sam Greydanus, Anurag Koul, Jonathan Dodge, Alan Fern:
Visualizing and Understanding Atari Agents. - Min Tang, Zichen Zhang, Dana Cobzas, Martin Jägersand, Jacob L. Jaremko:
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation. - Constantinos Daskalakis, Andrew Ilyas, Vasilis Syrgkanis, Haoyang Zeng:
Training GANs with Optimism. - Miquel Martí
A multitask deep learning model for real-time deployment in embedded systems. - Yiding Lu, Yufan Guo, Anna Korhonen:
Erratum: Link prediction in drug-target interactions network using similarity indices. - Pavlos Vougiouklis, Hady ElSahar, Lucie-Aimée Kaffee, Christophe Gravier, Frédérique Laforest, Jonathon S. Hare, Elena Simperl:
Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples. - Wijik Lee, Young-Sik Kim, Jong-Seon No:
A New Signature Scheme Based on Punctured Reed-Muller Code With Random Insertion. - Lachlan Tychsen-Smith, Lars Petersson:
Improving Object Localization with Fitness NMS and Bounded IoU Loss. - Jessica Hoffmann, Constantine Caramanis:
The Cost of Uncertainty in Curing Epidemics. - Celalettin Umit Bas, Rui Wang, Thomas Choi, Sooyoung Hur, Kuyeon Whang, Jeongho Park, Jianzhong Zhang, Andreas F. Molisch:
Outdoor to Indoor Penetration Loss at 28 GHz for Fixed Wireless Access. - Celalettin Umit Bas, Rui Wang, Seun Sangodoyin, Sooyoung Hur, Kuyeon Whang, Jeongho Park, Jianzhong Zhang, Andreas F. Molisch:
Dynamic Double Directional Propagation Channel Measurements at 28 GHz. - Celalettin Umit Bas, Rui Wang, Seun Sangodoyin, Sooyoung Hur, Kuyeon Whang, Jeongho Park, Jianzhong Zhang, Andreas F. Molisch:
28 GHz Microcell Measurement Campaign for Residential Environment. - Boyuan Pan, Hao Li, Zhou Zhao, Deng Cai, Xiaofei He:
Keyword-based Query Comprehending via Multiple Optimized-Demand Augmentation. - Kai Jin:
Finding all Maximal Area Parallelograms in a Convex Polygon. - Alexander M. Romanov:
A generalized concatenation construction for q-ary 1-perfect codes. - Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, Dieter Fox:
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes. - Edith Hemaspaandra, Lane A. Hemaspaandra:
Credimus. - Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Towards Effective Low-bitwidth Convolutional Neural Networks. - Do-Guk Kim, Jong-Uk Hou, Heung-Kyu Lee:
Learning deep features for source color laser printer identification based on cascaded learning. - Yuan Hong, Han Wang, Shangyu Xie, Bingyu Liu:
Privacy Preserving and Collusion Resistant Energy Sharing. - Minglong Qi, Shengwu Xiong, Jingling Yuan, Wenbi Rao, Luo Zhong:
On the complete weight enumerators of some linear codes with a few weights. - Fatemeh Afghah, Mohammad Zaeri-Amirani, Abolfazl Razi, Jacob Chakareski, Elizabeth S. Bentley:
A Coalition Formation Approach to Coordinated Task Allocation in Heterogeneous UAV Networks. - Bert Moons, Koen Goetschalckx, Nick Van Berckelaer, Marian Verhelst:
Minimum Energy Quantized Neural Networks. - Andrew J. Simmons, Rajesh Vasa:
Spatio-Temporal Reference Frames as Geographic Objects. - Christian Rosenke, Ronny Tredup:
The Hardness of Synthesizing Elementary Net Systems from Highly Restricted Inputs. - Haibin Yu, Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet:
Stochastic Variational Inference for Fully Bayesian Sparse Gaussian Process Regression Models. - Chih-Ming Chen, Yi-Hsuan Yang, Yian Chen, Ming-Feng Tsai:
Vertex-Context Sampling for Weighted Network Embedding. - Yuzhong Wu, Tan Lee:
Reducing Model Complexity for DNN Based Large-Scale Audio Classification. - Ananya Raval, Rupesh Nasre, Vivek Kumar, R. Vasudevan, Sathish Vadhiyar, Keshav Pingali:
Dynamic Load Balancing Strategies for Graph Applications on GPUs. - Jiajun Zhang, Xiaohui Liang, Zhikun Zhang, Shibo He, Zhiguo Shi:
Re-DPoctor: Real-time health data releasing with w-day differential privacy. - Qianhui Luo, Huifang Ma, Yue Wang, Li Tang, Rong Xiong:
Single Multi-feature detector for Amodal 3D Object Detection in RGB-D Images. - Chenping Hou, Ling-Li Zeng, Dewen Hu:
Secure Classification With Augmented Features. - Dharma Teja Vooturi, Saurabh Goyal, Anamitra R. Choudhury, Yogish Sabharwal, Ashish Verma:
Efficient Inferencing of Compressed Deep Neural Networks. - Bernardt Duvenhage, Mfundo Ntini, Phala Ramonyai:
Improved Text Language Identification for the South African Languages. - Zhuoxiang Chen, Zhe Xu, Ya Zhang, Xiao Gu:
Query-free Clothing Retrieval via Implicit Relevance Feedback. - Yu Chen
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. - Mario Collotta, Giovanni Pau
Bluetooth 5: a concrete step forward towards the IoT. - Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang:
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning. - Wenbin Li, Jeannette Bohg, Mario Fritz:
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning. - K. Raghavendra, Sathish S. Vadhiyar:
Determination of Checkpointing Intervals for Malleable Applications. - Philip Bille, Anders Roy Christiansen, Mikko Berggren Ettienne, Inge Li Gørtz:
Fast Dynamic Arrays. - Zichao Li, Xin Jiang, Lifeng Shang, Hang Li:
Paraphrase Generation with Deep Reinforcement Learning. - Ivona Bezáková, Andreas Galanis, Leslie Ann Goldberg, Daniel Stefankovic:
Inapproximability of the independent set polynomial in the complex plane. - David Holzmüller
Improved Approximation Schemes for the Restricted Shortest Path Problem. - Srinivasan Ramesh, Sathish Vadhiyar, Ravi S. Nanjundiah, P. N. Vinayachandran:
Deep and Shallow convections in Atmosphere Models on Intel Xeon Phi Coprocessor Systems. - Shikang Du, Xiaojun Wan, Yajie Ye:
Towards Automatic Generation of Entertaining Dialogues in Chinese Crosstalks. - Issa Khalil, Bei Guan, Mohamed Nabeel, Ting Yu:
Killing Two Birds with One Stone: Malicious Domain Detection with High Accuracy and Coverage. - Marc Miquel-Ribé:
From Attention to Participation: Reviewing and Modelling Engagement with Computers. - Mickaël Chen, Ludovic Denoyer, Thierry Artières
Multi-View Data Generation Without View Supervision. - Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura:
Improving Neural Machine Translation through Phrase-based Forced Decoding. - Mostafa Dehghani, Glorianna Jagfeld, Hosein Azarbonyad, Alex Olieman, Jaap Kamps, Maarten Marx:
On Search Powered Navigation. - James H. Davenport, Matthew England:
The Potential and Challenges of CAD with Equational Constraints for SC-Square. - Mostafa Dehghani, Aliaksei Severyn, Sascha Rothe, Jaap Kamps:
Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision. - Philipp Fortenbacher, Turhan Demiray:
Linear /Quadratic Programming Based Optimal Power Flow using Linear Power Flow and Absolute Loss Approximations. - Kan Huang, Chunbiao Zhu, Ge Li:
Robust Saliency Detection via Fusing Foreground and Background Priors. - Lutfi Kerem Senel, Ihsan Utlu, Veysel Yücesoy, Aykut Koç, Tolga Çukur:
Semantic Structure and Interpretability of Word Embeddings. - Raphael Tang, Weijie Wang, Zhucheng Tu, Jimmy Lin:
An Experimental Analysis of the Power Consumption of Convolutional Neural Networks for Keyword Spotting. - Christoph Rettinger, Ulrich Rüde:
A Coupled Lattice Boltzmann Method and Discrete Element Method for Discrete Particle Simulations of Particulate Flows. - Gonca Gürsun:
On Spectral Analysis of the Internet Delay Space and Detecting Anomalous Routing Paths. - Lester W. Mackey, Vasilis Syrgkanis, Ilias Zadik:
Orthogonal Machine Learning: Power and Limitations. - Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum:
Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions. - Brenden M. Lake, Marco Baroni:
Still not systematic after all these years: On the compositional skills of sequence-to-sequence recurrent networks. - Delia Fano Yela, Sebastian Ewert, Ken O'Hanlon, Mark B. Sandler:
Shift-Invariant Kernel Additive Modelling for Audio Source Separation. - Ryosuke Sonobe, Shinnosuke Takamichi, Hiroshi Saruwatari:
JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis. - Daniyal Amir Awan, Renato L. G. Cavalcante, Masahiro Yukawa, Slawomir Stanczak:
Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach. - Vladimir Katkovnik, Mykola Ponomarenko, Karen O. Egiazarian:
Complex-valued image denosing based on group-wise complex-domain sparsity. - Andrew Critch, Stuart Russell:
Servant of Many Masters: Shifting priorities in Pareto-optimal sequential decision-making. - Lantian Li, Zhiyuan Tang, Dong Wang:
Full-info Training for Deep Speaker Feature Learning. - Oliver Gutsche, Luca Canali, Illia Cremer, Matteo Cremonesi, Peter Elmer, Ian Fisk, Maria Girone, Bo Jayatilaka, Jim Kowalkowski, Viktor Khristenko, Evangelos Motesnitsalis, Jim Pivarski, Saba Sehrish, Kacper Surdy, Alexey Svyatkovskiy:
CMS Analysis and Data Reduction with Apache Spark. - Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval:
Analyzing the Approximation Error of the Fast Graph Fourier Transform. - Anna Minaeva, Benny Akesson, Zdenek Hanzálek, Dakshina Dasari:
Time-Triggered Co-Scheduling of Computation and Communication with Jitter Requirements. - Sandra Wachter, Brent D. Mittelstadt, Chris Russell:
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR. - Yun-Seong Cho, Seonho Kim, Song-Nam Hong:
Successive Cancellation Soft Output Detector For Uplink MU-MIMO Systems With One-bit ADCs. - Julia Ling, Maxwell Hutchinson, Erin Antono, Brian DeCost, Elizabeth A. Holm, Bryce Meredig:
Building Data-driven Models with Microstructural Images: Generalization and Interpretability. - Sahil Singla:
The Price of Information in Combinatorial Optimization. - Cheng Zhang, Yindi Jing, Yongming Huang, Luxi Yang:
Performance Analysis for Massive MIMO Downlink with Low Complexity Approximate Zero-Forcing Precoding. - Patrick Benediktsson, Jon A. Flandrin, Chen Zheng:
Non Uniform On Chip Power Delivery Network Synthesis Methodology. - Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu:
Hierarchical Representations for Efficient Architecture Search. - Shashanka Ubaru, Yousef Saad:
Sampling and multilevel coarsening algorithms for fast matrix approximations. - Eduardo Valle, Michel Fornaciali, Afonso Menegola, Julia Tavares, Flávia Vasques Bittencourt, Lin Tzy Li, Sandra Avila:
Data, Depth, and Design: Learning Reliable Models for Melanoma Screening. - Angus Galloway, Graham W. Taylor, Medhat Moussa:
Attacking Binarized Neural Networks. - Rudy Bunel, Ilker Turkaslan, Philip H. S. Torr, Pushmeet Kohli, M. Pawan Kumar:
Piecewise Linear Neural Network verification: A comparative study. - Alex Fedorov, Eswar Damaraju, Vince D. Calhoun, Sergey M. Plis:
Almost instant brain atlas segmentation for large-scale studies. - Satyakama Paul, Madhur Hasija, Tshilidzi Marwala:
Early prediction of the duration of protests using probabilistic Latent Dirichlet Allocation and Decision Trees. - Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy:
An Information-Theoretic Analysis of Deep Latent-Variable Models. - Jacob Andreas, Dan Klein, Sergey Levine:
Learning with Latent Language. - Samuel L. Smith, Pieter-Jan Kindermans, Quoc V. Le:
Don't Decay the Learning Rate, Increase the Batch Size. - Amr Alanwar, Tsang-Kai Chang, Mani B. Srivastava, Ankur Mehta:
TERSE-KF: Event-Trigger Diffusion Kalman Filter with Application to Localization and Time Synchronization. - Patrick Brandao, Evangelos B. Mazomenos, Danail Stoyanov:
Widening siamese architectures for stereo matching. - Rong Ge, Jason D. Lee, Tengyu Ma:
Learning One-hidden-layer Neural Networks with Landscape Design. - Jinseok Choi, Brian L. Evans:
User Scheduling for Millimeter Wave MIMO Communications with Low-Resolution ADCs. - Nikolai Nøjgaard, Nadia El-Mabrouk, Daniel Merkle, Nicolas Wieseke, Marc Hellmuth:
Partial Orthology, Paralogy and Xenology Relations - Satisfiability in terms of Di-Cographs. - Renato P. dos Santos:
On the Philosophy of Bitcoin/Blockchain Technology: Is it a Chaotic, Complex System? - Rachel Bawden, Rico Sennrich, Alexandra Birch, Barry Haddow:
Evaluating Discourse Phenomena in Neural Machine Translation. - Yuxuan Wang, R. J. Skerry-Ryan, Ying Xiao, Daisy Stanton, Joel Shor, Eric Battenberg, Rob Clark, Rif A. Saurous:
Uncovering Latent Style Factors for Expressive Speech Synthesis. - Mario Di Mauro, Cesario Di Sarno:
Improving SIEM capabilities through an enhanced probe for encrypted Skype traffic detection. - Allan Cook, Michael Robinson, Mohamed Amine Ferrag, Leandros A. Maglaras, Ying He, Kevin I. Jones, Helge Janicke:
Internet of Cloud: Security and Privacy issues. - Angus Graeme Forbes, Kristine Lee, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Text Annotation Graphs: Annotating Complex Natural Language Phenomena. - Luca Maria Aiello, Rossano Schifanella, Miriam Redi, Stacey Svetlichnaya, Frank Liu, Simon Osindero:
Beautiful and damned. Combined effect of content quality and social ties on user engagement. - Nikolaus Correll, Christoffer R. Heckman:
Materials that make robots smart. - Pietro Danzi, Anders Ellersgaard Kalør, Cedomir Stefanovic, Petar Popovski:
Analysis of the Communication Traffic for Blockchain Synchronization of IoT Devices. - Yi Luo, Nima Mesgarani:
TasNet: time-domain audio separation network for real-time, single-channel speech separation. - Muhammad Rizwan Asghar, TzeHowe Lee, Mirza Mansoor Baig, Ehsan Ullah, Giovanni Russello, Gillian Dobbie:
A Review of Privacy and Consent Management in Healthcare: A Focus on Emerging Data Sources. - Niklas Funk, Nikhilesh Alatur, Robin Deuber, Frederick Gonon, Nico Messikommer, Julian Nubert, Moritz Patriarca, Simon Schaefer, Dominic Scotoni, Nicholas Bünger, Renaud Dubé, Raghav Khanna, Mark Pfeiffer, Erik Wilhelm, Roland Siegwart:
Autonomous Electric Race Car Design. - Anjishnu Kumar, Arpit Gupta, Julian Chan, Sam Tucker, Björn Hoffmeister, Markus Dreyer:
Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding. - Shubham Jain, Marco Gruteser:
Recognizing Textures with Mobile Cameras for Pedestrian Safety Applications. - Zachary Carlson, Louise Lemmon, MacCallister Higgins, David Frank, David Feil-Seifer:
This robot stinks! Differences between perceived mistreatment of robot and computer partners. - William M. Hoza:
Typically-Correct Derandomization for Small Time and Space. - Arun Jambulapati, Aaron Sidford:
Efficient Õ(n/ε) Spectral Sketches for the Laplacian and its Pseudoinverse. - Wenzhen Yuan, Yuchen Mo, Shaoxiong Wang, Edward H. Adelson:
Active Clothing Material Perception using Tactile Sensing and Deep Learning. - Garrett Bingham:
Random Subspace Two-dimensional LDA for Face Recognition. - Meysam Masoudi, Amin Azari, Emre Altug Yavuz, Cicek Cavdar:
Grant-free Radio Access IoT Networks: Scalability Analysis in Coexistence Scenarios. - Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang:
Deep Learning from Noisy Image Labels with Quality Embedding. - Zhenqiang Ying, Ge Li, Wen Gao:
A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement. - Greg N. Frederickson, Samson Zhou:
Optimal Parametric Search for Path and Tree Partitioning. - Shunsuke Ono, Takuma Kasai:
Efficient Constrained Tensor Factorization by Alternating Optimization with Primal-Dual Splitting. - Philip N. Brown, Holly Borowski, Jason R. Marden:
Security Against Impersonation Attacks in Distributed Systems. - Daehyung Park, Yuuna Hoshi, Charles C. Kemp:
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder. - Yu Wang, Yang Feng, Zhe Hong, Ryan Berger, Jiebo Luo:
How Polarized Have We Become? A Multimodal Classification of Trump Followers and Clinton Followers. - Michael Alan Chang, Aurojit Panda, Yuan-Cheng Tsai, Hantao Wang, Scott Shenker:
ThrottleBot - Performance without Insight. - Paul de Kerret, David Gesbert, Maurizio Filippone:
Decentralized Deep Scheduling for Interference Channels. - Naci Saldi:
A topology for Team Policies and Existence of Optimal Team Policies in Stochastic Team Theory. - Xinyue Zhu, Yifan Liu, Zengchang Qin, Jiahong Li:
Data Augmentation in Emotion Classification Using Generative Adversarial Networks. - Emanuele Rodaro:
A bound for the shortest reset words for semisimple synchronizing automata via the packing number. - Tibor Keresztfalvi, Amos Lapidoth:
Semi-Robust Communications over a Broadcast Channel. - Rafael Will M. de Araujo, Roberto Hirata, Alain Rakotomamonjy:
Concave losses for robust dictionary learning. - Antonio Anastasio Bruto da Costa, Pallab Dasgupta:
Formal Analysis of Hybrid Systems Using Feature Indented Assertions. - Karteek Popuri, Rakesh Balachandar, Kathryn I. Alpert, Donghuan Lu, Mahadev Bhalla, Ian Mackenzie, Robin Ging-Yuek Hsiung, Lei Wang, Mirza Faisal Beg:
Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging. - Gregory Vander Schueren, Quentin De Coninck, Olivier Bonaventure:
TCPSnitch: Dissecting the Usage of the Socket API. - Bin Dai, Baoyuan Wang, Gang Hua:
Understanding and Predicting The Attractiveness of Human Action Shot. - Akbar Karimi
Extracting an English-Persian Parallel Corpus from Comparable Corpora. - Karen O. Egiazarian, Mykola Ponomarenko, Vladimir V. Lukin, Oleg Ieremeiev:
Statistical evaluation of visual quality metrics for image denoising. - Smitha Milli, Pieter Abbeel, Igor Mordatch:
Interpretable and Pedagogical Examples. - Laura Douglas, Iliyan Zarov, Konstantinos Gourgoulias, Chris Lucas, Chris Hart, Adam Baker, Maneesh Sahani, Yura Perov, Saurabh Johri:
A Universal Marginalizer for Amortized Inference in Generative Models. - Guillaume Viejo, Benoît Girard, Emmanuel Procyk, Mehdi Khamassi:
Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error problem solving task. - Sameer Kumar, Dheeraj Sreedhar, Vaibhav Saxena, Yogish Sabharwal, Ashish Verma:
Efficient Training of Convolutional Neural Nets on Large Distributed Systems. - Sreya Guha:
Doris: A tool for interactive exploration of historic corpora (Extended Version). - Sreya Guha:
Related Fact Checks: a tool for combating fake news. - Saswata Paul, Frederick Hole, Alexandra Zytek, Carlos A. Varela:
Flight Trajectory Planning for Fixed-Wing Aircraft in Loss of Thrust Emergencies. - Tu Nguyen:
A Comprehensive Low and High-level Feature Analysis for Early Rumor Detection on Twitter. - Manuel S. Stein:
Asymptotic Signal Detection Rates with 1-bit Array Measurements. - Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi:
Learning to Represent Programs with Graphs. - Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro:
Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks. - (Withdrawn) Network-size independent covering number bounds for deep networks.
- Zhikun Zhang, Shibo He, Jiming Chen, Junshan Zhang:
REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in Crowdsensing. - Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguven Duc, Pekka Abrahamsson:
How Do Software Startups Pivot? Empirical Results from a Multiple Case Study. - Rani Hod:
Improved Lower Bounds for the Fourier Entropy/Influence Conjecture via Lexicographic Functions. - Ana Marasovic, Anette Frank:
SRL4ORL: Improving Opinion Role Labelling using Multi-task Learning with Semantic Role Labeling. - Luca Paolini
Quantum programming made easy. 133-147 - Hiroshi Sano, Takahiro Wada:
Knee Motion Generation Method for Transfemoral Prosthesis based on Kinematic Synergy and Inertial Motion. - Juvaria Tariq, Muhammad Ahmad, Imdadullah Khan, Mudassir Shabbir:
Scalable Approximation Algorithm for Network Immunization. - Erin Wolf Chambers, Arnaud de Mesmay, Tim Ophelders:
On the complexity of optimal homotopies. - Muhammad Ahmad, Juvaria Tariq, Mudassir Shabbir, Imdadullah Khan:
Spectral Methods for Immunization of Large Networks. - Bomin Jiang, Brian D. O. Anderson, Hatem Hmam:
3D Mobile Localization Using Distance-only Measurements. - Zhen Huang, Mariana D'Angelo, Dhaval Miyani, David Lie:
Talos: Neutralizing Vulnerabilities with Security Workarounds for Rapid Response. - Rohan Badlani, Ankit Shah
Framework for evaluation of sound event detection in web videos. - Torben Hagerup:
An Optimal Choice Dictionary. - Valentin Khrulkov, Alexander Novikov, Ivan V. Oseledets:
Expressive power of recurrent neural networks. - Dripta S. Raychaudhuri, Josif Grabocka, Lars Schmidt-Thieme:
Channel masking for multivariate time series shapelets. - Glencora Borradaile, Hung Le, Christian Wulff-Nilsen:
Minor-free graphs have light spanners. - Dhaval Miyani, Zhen Huang, David Lie:
BinPro: A Tool for Binary Source Code Provenance. - Marc Lanctot, Vinícius Flores Zambaldi, Audrunas Gruslys, Angeliki Lazaridou, Karl Tuyls, Julien Pérolat, David Silver, Thore Graepel:
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning. - Felix Last
Oversampling for Imbalanced Learning Based on K-Means and SMOTE. - Bryan T. Carter, Georgios Bakirtzis, Carl R. Elks, Cody H. Fleming:
A Systems Approach for Eliciting Mission-Centric Security Requirements. - Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan:
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations. - J. Zico Kolter, Eric Wong
Provable defenses against adversarial examples via the convex outer adversarial polytope. - Bernardo Toninho, Nobuko Yoshida:
On Polymorphic Sessions and Functions: A Tale of Two (Fully Abstract) Encodings. - Adyasha Maharana, Elaine O. Nsoesie:
Using Deep Learning to Examine the Association between the Built Environment and Neighborhood Adult Obesity Prevalence. - I-Hong Jhuo, Jun Wang:
Set-to-Set Hashing with Applications in Visual Recognition. - Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing:
Structured Generative Adversarial Networks. - Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski:
Multi-Mention Learning for Reading Comprehension with Neural Cascades. - Kasia Swirydowicz, Noel Chalmers, Ali Karakus, Timothy Warburton:
Acceleration of tensor-product operations for high-order finite element methods. - Robert J. Woodward, Berthe Y. Choueiry:
Weight-Based Variable Ordering in the Context of High-Level Consistencies. - Mohit L. Dubey, Garrett T. Kenyon, Nils Carlson, Austin Thresher:
Does Phase Matter For Monaural Source Separation? - Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley:
Audio Set classification with attention model: A probabilistic perspective. - Ryan Kavanagh
A Denotational Semantics for SPARC TSO. - Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu:
Neural Discrete Representation Learning. - Manex Agirrezabal, Iñaki Alegria, Mans Hulden:
A Comparison of Feature-Based and Neural Scansion of Poetry. - Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei Zhang:
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality. - Yonatan Geifman, Ran El-Yaniv:
Deep Active Learning over the Long Tail. - Elad Hazan, Karan Singh, Cyril Zhang:
Learning Linear Dynamical Systems via Spectral Filtering. - Rebecca E. Morrison, Ricardo Baptista, Youssef M. Marzouk:
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. - Björn Barz, Joachim Denzler:
Automatic Query Image Disambiguation for Content-Based Image Retrieval. - Chao Qian, Chao Bian, Wu Jiang, Ke Tang:
Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes under Bit-wise Noise. - Mohammad Abdur Razzak, John Noll, Ita Richardson, Clodagh Nic Canna, Sarah Beecham:
Transition from Plan Driven to SAFe : Periodic Team Self-Assessment. - Philipp Zschoche, Till Fluschnik, Hendrik Molter, Rolf Niedermeier:
The Computational Complexity of Finding Separators in Temporal Graphs. - Angus Graeme Forbes, Andrew Burks, Kristine Lee, Xing Li, Pierre Boutillier, Jean Krivine, Walter Fontana:
Dynamic Influence Networks for Rule-based Models. - Hao Ye, Geoffrey Ye Li:
Deep Reinforcement Learning for Resource Allocation in V2V Communications. - Shibani Santurkar, Ludwig Schmidt, Aleksander Madry:
A Classification-Based Perspective on GAN Distributions. - Mahmoud Afifi, Khaled F. Hussain:
The Achievement of Higher Flexibility in Multiple Choice-based Tests Using Image Classification Techniques. - Liang Zhang, Tao Han, Nirwan Ansari:
Energy-Aware Virtual Machine Management in Inter-datacenter Networks over Elastic Optical Infrastructure. - Cheng Li, Felix Ming Fai Wong, Zhenming Liu, Varun Kanade:
From which world is your graph? - Aldo Zaimi, Maxime Wabartha, Victor Herman, Pierre-Louis Antonsanti, Christian Samuel Perone, Julien Cohen-Adad:
AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks. - Shuangjun Liu, Yu Yin, Sarah Ostadabbas:
In-Bed Pose Estimation: Deep Learning with Shallow Dataset. - Yining Wang, Yang Zhao, Jiajun Zhang, Chengqing Zong, Zhengshan Xue:
Towards Neural Machine Translation with Partially Aligned Corpora. - Yahya H. Ezzeldin, Ayan Sengupta, Christina Fragouli:
Wireless Network Simplification: The Performance of Routing. - Xiangbo Li, Mohsen Amini Salehi, Magdy A. Bayoumi, Nian-Feng Tzeng, Rajkumar Buyya:
Cost-Efficient and Robust On-Demand Video Transcoding Using Heterogeneous Cloud Services. - Amr Al-Anwar, Mona A. Aboelnaga, Yousra Alkabani, M. Watheq El-Kharashi, Hassan Bedour:
Dynamic FPGA Detection and Protection of Hardware Trojan: A Comparative Analysis. - Oladapo Afolabi, Katherine Rose Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer, S. Shankar Sastry:
People as Sensors: Imputing Maps from Human Actions. - Wasuwee Sodsong, Bernhard Scholz, Sanjay Chawla:
SPARK: Static Program Analysis Reasoning and Retrieving Knowledge. - Huige Li, Fangguo Zhang, Jiejie He, Haibo Tian:
A Searchable Symmetric Encryption Scheme using BlockChain. - Anna R. Karlin, Shayan Oveis Gharan, Robbie Weber:
A Simply Exponential Upper Bound on the Maximum Number of Stable Matchings. - Xu Hu, Jun Huang, Minghui Qiu, Cen Chen, Wei Chu:
PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI). - Sébastien Bubeck, Michael B. Cohen, Yuanzhi Li:
Sparsity, variance and curvature in multi-armed bandits. - Alexey N. Mikhaylov, Oleg A. Morozov, Pavel E. Ovchinnikov, Ivan N. Antonov, Alexey I. Belov, Dmitry S. Korolev, Maria N. Koryazhkina, Alexander N. Sharapov, Evgeniy G. Gryaznov, Oleg N. Gorshkov, Victor B. Kazantsev:
Towards Hardware Implementation of Double-Layer Perceptron Based on Metal-Oxide Memristive Nanostructures. - Chi-Hao Wu, Qin Huang, Siyang Li, C.-C. Jay Kuo:
A Taught-Obesrve-Ask (TOA) Method for Object Detection with Critical Supervision. - Li Wang, Tom Z. J. Fu, Richard T. B. Ma, Marianne Winslett, Zhenjie Zhang:
Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing. - Saurabh Garg, Tanmay Parekh, Preethi Jyothi:
Dual Language Models for Code Mixed Speech Recognition. - Zehui Xiong, Shaohan Feng, Dusit Niyato, Ping Wang, Zhu Han:
Optimal Pricing-Based Edge Computing Resource Management in Mobile Blockchain. - Jiangtian Nie, Zehui Xiong, Dusit Niyato, Ping Wang, Jun Luo:
A Socially-Aware Incentive Mechanism for Mobile Crowdsensing Service Market. - Zehui Xiong, Shaohan Feng, Dusit Niyato, Ping Wang, Yang Zhang:
Competition and Cooperation Analysis for Data Sponsored Market: A Network Effects Model. - Andrew Ryzhikov:
On Automata Recognizing Birecurrent Sets. - Hengduo Li, Jun Liu, Guyue Zhang, Yuan Gao, Yirui Wu:
Multi-Glimpse LSTM with Color-Depth Feature Fusion for Human Detection. - Raphael Shu, Hideki Nakayama:
Compressing Word Embeddings via Deep Compositional Code Learning. - Shuxing Li:
The Minimum Distance of Some Narrow-Sense Primitive BCH Codes. - Philipp Fortenbacher, Turhan Demiray:
Transmission Network Reduction Method using Nonlinear Optimization. - Rania Morsi, Vahid Jamali, Derrick Wing Kwan Ng, Robert Schober:
On the Capacity of SWIPT Systems with a Nonlinear Energy Harvesting Circuit. - Sébastien Bubeck, Michael B. Cohen, James R. Lee, Yin Tat Lee, Aleksander Madry:
k-server via multiscale entropic regularization. - Davis M. Vigneault, Weidi Xie, Carolyn Y. Ho, David A. Bluemke, J. Alison Noble:
Omega-Net: Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks. - Mohammad Abdur Razzak:
An Empirical Study on Leanness and Flexibility in Distributed Software Development. - Johannes Bjerva:
One Model to Rule them all: Multitask and Multilingual Modelling for Lexical Analysis. - Yufan Zheng:
A Rudimentary Model for Low-Latency Anonymous Communication Systems. - Ashok Krishnan K. S., Vinod Sharma:
Distributed Control and Quality-of-Service in Multihop Wireless Networks. - Maike P. Stoeve, Marc Aubreville, Nicolai Oetter, Christian Knipfer, Helmut Neumann, Florian Stelzle, Andreas K. Maier:
Motion Artifact Detection in Confocal Laser Endomicroscopy Images. - Zheng Zhu, Wei Wu, Wei Zou, Junjie Yan:
End-to-end Flow Correlation Tracking with Spatial-temporal Attention. - Xiaotao Jia, Jianlei Yang, Zhaohao Wang, Yiran Chen, Hai Li, Weisheng Zhao:
Spintronics based Stochastic Computing for Efficient Bayesian Inference System. - Finale Doshi-Velez, Mason Kortz, Ryan Budish, Chris Bavitz, Sam Gershman, David O'Brien, Stuart Schieber, James Waldo, David Weinberger, Alexandra Wood:
Accountability of AI Under the Law: The Role of Explanation. - Hung Thai Le, Khang Ding Tran, Le Van Hung:
Fuzzy clustering using linguistic-valued exponent. - Neil Zeghidour, Nicolas Usunier, Iasonas Kokkinos, Thomas Schatz, Gabriel Synnaeve, Emmanuel Dupoux
Learning Filterbanks from Raw Speech for Phone Recognition. - Vincent Cohen-Addad, Arnaud de Mesmay, Eva Rotenberg, Alan Roytman:
The Bane of Low-Dimensionality Clustering. - Hossen Asiful Mustafa, Hasan Muhammad Kafi
Design and Analysis of a Secure Three Factor User Authentication Scheme Using Biometric and Smart Card. - Dillon Graham, Seyed Hamed Fatemi Langroudi, Christopher Kanan, Dhireesha Kudithipudi:
Convolutional Drift Networks for Video Classification. - Olivier Auber:
Refounding legitimacy towards Aethogenesis. - Behnaz Rezaei, Sarah Ostadabbas:
Background Subtraction via Fast Robust Matrix Completion. - Francisco Monteiro-Guerra, Octavio Rivera Romero, Vasiliki Mylonopoulou, Gabriel R. Signorelli, Francisco Zambrana, Luis Fernández-Luque:
The Design of a Mobile App for Promotion of Physical Activity and Self-Management in Prostate Cancer Survivors: Personas, Feature Ideation and Low-Fidelity Prototyping. - Yong-Xian Wang, Zhang-Hua Wang:
A Fast Successive Over-Relaxation Algorithm for Force-Directed Network Graph Drawing. - Jim Pivarski, David Lange, Thanat Jatuphattharachat:
Toward real-time data query systems in HEP. - Björn Feldkord, Matthias Feldotto, Sören Riechers:
A Tight Approximation for Fully Dynamic Bin Packing without Bundling. - Clemens Rosenbaum, Tim Klinger, Matthew Riemer:
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning. - Mohammad Ghasemzadeh, Mohammad Samragh, Farinaz Koushanfar:
ResBinNet: Residual Binary Neural Network. - Spandan Roy, Indra Narayan Kar, Jinoh Lee, Nikos G. Tsagarakis, Darwin G. Caldwell:
Artificial Delay Based ARC of a Class of Uncertain EL Systems with Only Position Feedback. - Sara Khoshsokhan, Roozbeh Rajabi, Hadi Zayyani:
Distributed Unmixing of Hyperspectral Data With Sparsity Constraint. - Edith Hemaspaandra, Lane A. Hemaspaandra, Holger Spakowski, Osamu Watanabe:
The Robustness of LWPP and WPP, with an Application to Graph Reconstruction. - Michael Schwarz, Daniel Gruss, Moritz Lipp, Clémentine Maurice, Thomas Schuster, Anders Fogh, Stefan Mangard:
Automated Detection, Exploitation, and Elimination of Double-Fetch Bugs using Modern CPU Features. - He Sun, Luca Zanetti:
Distributed Graph Clustering and Sparsification. - Jingyang Zhu, Jingbo Jiang, Xizi Chen, Chi-Ying Tsui:
SparseNN: An Energy-Efficient Neural Network Accelerator Exploiting Input and Output Sparsity. - Tommaso Soru, Diego Esteves, Edgard Marx, Axel-Cyrille Ngonga Ngomo:
Mandolin: A Knowledge Discovery Framework for the Web of Data. - Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst:
Discovering More Precise Process Models from Event Logs by Filtering Out Chaotic Activities. - Sundar Aditya, Andreas F. Molisch, Naif Rabeah, Hatim M. Behairy:
Localization of Multiple Targets with Identical Radar Signatures in Multipath Environments with Correlated Blocking. - Yiling Chen, Nicole Immorlica, Brendan Lucier, Vasilis Syrgkanis, Juba Ziani:
Optimal Data Acquisition for Statistical Estimation. - Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Eugene Wu:
BoostClean: Automated Error Detection and Repair for Machine Learning. - Aidin Ferdowsi, Walid Saad:
Deep Learning-Based Dynamic Watermarking for Secure Signal Authentication in the Internet of Things. - Audrow Nash, Yu-Ming Chen, Nils Smit-Anseeuw, Petr Zaytsev, C. David Remy:
Learning Stable and Energetically Economical Walking with RAMone. - Ha-Vu Tran, Georges Kaddoum:
A Rethinking of RF Wireless Power Transfer: How to Re-Green the Future Networks? - Ravishankar Krishnaswamy, Shi Li, Sai Sandeep:
Constant Approximation for k-Median and k-Means with Outliers via Iterative Rounding. - Sarah Cannon, Joshua J. Daymude, William Savoie, Ross Warkentin, Shengkai Li, Daniel I. Goldman, Dana Randall, Andréa W. Richa:
Phototactic Supersmarticles. - Zhe Feng, Chara Podimata, Vasilis Syrgkanis:
Learning to Bid Without Knowing your Value. - Haoze Wu:
Two Error Bounds of Imperfect Binary Search. - Zachary Campbell, Andrew Bray, Anna M. Ritz, Adam Groce:
Differentially Private ANOVA Testing. - Yoji Yamato, Naoto Hoshikawa, Hirofumi Noguchi, Tatsuya Demizu, Misao Kataoka:
A Study of Optimizing Heterogeneous Resources for Open IoT. - Arman Fazeli, S. Hamed Hassani, Marco Mondelli, Alexander Vardy:
Binary Linear Codes with Optimal Scaling and Quasi-Linear Complexity. - Sourya Dey, Yinan Shao, Keith M. Chugg, Peter A. Beerel:
Accelerating Training of Deep Neural Networks via Sparse Edge Processing. - Matthieu Lê, Jesse Lieman-Sifry, Felix Lau, Sean Sall, Albert Hsiao, Daniel Golden:
Computationally efficient cardiac views projection using 3D Convolutional Neural Networks. - Sebastian Urban, Patrick van der Smagt:
Automatic Differentiation for Tensor Algebras. - Mohammad Mahdi Azari, Fernando Rosas, Alessandro Chiumento, Amir Ligata, Sofie Pollin:
Uplink Performance Analysis of a Drone Cell in a Random Field of Ground Interferers. - Saurabh Raje, Shyamal Vaderia, Neil Wilson, Rudrakh Panigrahi:
Decentralised firewall for malware detection. - Yi-Jun Chang, Wenzheng Li, Seth Pettie:
An Optimal Distributed (Δ+1)-Coloring Algorithm? - Venkatesh Duppada:
"Attention" for Detecting Unreliable News in the Information Age. - Sebastian Krinninger, Danupon Nanongkai:
A Faster Distributed Single-Source Shortest Paths Algorithm. - Anurag Kumar, Maksim Khadkevich, Christian Fügen:
Knowledge Transfer from Weakly Labeled Audio using Convolutional Neural Network for Sound Events and Scenes. - Ario Salmasi, Anastasios Sidiropoulos, Vijay Sridhar:
On constant multi-commodity flow-cut gaps for directed minor-free graphs. - Runmin Cong, Jianjun Lei, Huazhu Fu, Weisi Lin, Qingming Huang, Xiaochun Cao, Chunping Hou:
An Iterative Co-Saliency Framework for RGBD Images. - Kamelia Aryafar, Devin Guillory, Liangjie Hong:
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy. - Zhenyu Xiao, Lipeng Zhu, Jinho Choi, Pengfei Xia, Xiang-Gen Xia:
Joint Power Allocation and Beamforming for Non-Orthogonal Multiple Access (NOMA) in 5G Millimeter-Wave Communications. - Jisu Jeong, Eun Jung Kim, Sang-il Oum:
Finding branch-decompositions of matroids, hypergraphs, and more. - Yuan Yang, Pengtao Xie, Xin Gao, Carol Cheng, Christy Y. Li, Hongbao Zhang, Eric P. Xing:
Predicting Discharge Medications at Admission Time Based on Deep Learning. - Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples. - Weiyu Xu, Jirong Yi, Soura Dasgupta, Jian-Feng Cai, Mathews Jacob, Myung Cho:
Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach. - Vikram Kumar, Reza Arablouei, Raja Jurdak, Branislav Kusy, Neil W. Bergmann:
RSSI-Based Self-Localization with Perturbed Anchor Positions. - Luis Charre, Bruno Gravano, Rémi Pôssas, Chen Zheng:
Timing Aware Dummy Metal Fill Methodology. - Vasily Pestun, John Terilla, Yiannis Vlassopoulos:
Language as a matrix product state. - Nicola Castaman, Elisa Tosello, Enrico Pagello:
Conditional Task and Motion Planning through an Effort-based Approach. - Jingjing Xu, Xu Sun, Sujian Li, Xiaoyan Cai, Bingzhen Wei:
Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning. - Johan Loeckx:
The Case for Meta-Cognitive Machine Learning: On Model Entropy and Concept Formation in Deep Learning. - Xurui Li, Wei Yu, Tianyu Luwang, Jianbin Zheng, Jintao Zhao, Lei Xia, Yujiao Li:
Transaction Fraud Detection Using GRU-centered Sandwich-structured Model. - Stylianos Ioannis Mimilakis, Konstantinos Drossos, João Felipe Santos, Gerald Schuller, Tuomas Virtanen, Yoshua Bengio:
Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask. - Brian C. Grubel, Bryan T. Bosworth, Michael R. Kossey, A. Brinton Cooper, Mark A. Foster, Amy C. Foster:
Secure Communications using Nonlinear Silicon Photonic Keys. - Emmanouil Panaousis, Eirini D. Karapistoli, Hadeer Elsemary, Tansu Alpcan, M. H. R. Khouzani, Anastasios A. Economides:
Game theoretic path selection to support security in device-to-device communications. - Zahra Ghodsi, Siddharth Garg, Ramesh Karri:
Optimal Checkpointing for Secure Intermittently-Powered IoT Devices. - Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbrück:
DDD17: End-To-End DAVIS Driving Dataset. - Arit Kumar Bishwas, Ashish Mani, Vasile Palade:
Gaussian Kernel in Quantum Paradigm. - Rohit Girdhar, Deva Ramanan:
Attentional Pooling for Action Recognition. - Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven G. McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker:
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. - Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin, Ziyan Wang, Simon Lucey:
Object-Centric Photometric Bundle Adjustment with Deep Shape Prior. - Amritanshu Pandey, Marko Jereminov, Martin R. Wagner, Gabriela Hug, Larry T. Pileggi:
Robust Convergence of Power Flow using Tx Stepping Method with Equivalent Circuit Formulation. - Anne Edmundson, Paul Schmitt, Nick Feamster, Jennifer Rexford:
OCDN: Oblivious Content Distribution Networks. - Wayan Wicke, Tobias Schwering, Arman Ahmadzadeh, Vahid Jamali, Adam Noel, Robert Schober:
Modeling Duct Flow for Molecular Communication. - Christopher Marks, Tauhid Zaman:
Building a Location-Based Set of Social Media Users. - Tapomayukh Bhattacharjee, Haoping Bai, Haofeng Chen, Charles C. Kemp:
A Model that Predicts the Material Recognition Performance of Thermal Tactile Sensing. - Luiz F. O. Chamon, Alejandro Ribeiro:
Approximate Supermodularity Bounds for Experimental Design. - Richard Liaw, Sanjay Krishnan, Animesh Garg, Daniel Crankshaw, Joseph E. Gonzalez, Ken Goldberg:
Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning. - Allyson Ettinger, Sudha Rao, Hal Daumé III, Emily M. Bender:
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task. - Xiao-Yun Zhou, Mali Shen, Celia V. Riga, Guang-Zhong Yang, Su-Lin Lee:
Focal FCN: Towards Small Object Segmentation with Limited Training Data. - Yu-An Chung, James R. Glass:
Learning Word Embeddings from Speech. - Rivindu Perera, Parma Nand, Boris Bacic, Wen-Hsin Yang, Kazuhiro Seki, Radek Burget:
Semantic Web Today: From Oil Rigs to Panama Papers. - Zahra Khatami, Lukas Troska, Hartmut Kaiser, J. Ramanujam, Adrian Serio:
HPX Smart Executors. - Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Practical Data-Dependent Metric Compression with Provable Guarantees. - Omid Ardakanian, Vincent W. S. Wong, Roel Dobbe, Steven H. Low, Alexandra von Meier, Claire J. Tomlin, Ye Yuan:
On Identification of Distribution Grids. - Tengyuan Liang, Tomaso A. Poggio, Alexander Rakhlin, James Stokes:
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks. - Wenchang Tang, Feng Ji, Wee Peng Tay:
Estimating Infection Sources in Networks Using Partial Timestamps. - Nati Ofir, Shai Silberstein, Dani Rozenbaum, Sharon Duvdevani Bar:
Registration and Fusion of Multi-Spectral Images Using a Novel Edge Descriptor. - T.-H. Hubert Chan, Zhihao Gavin Tang, Xiaowei Wu, Chenzi Zhang:
Diffusion Operator and Spectral Analysis for Directed Hypergraph Laplacian. - Daochen Zha, Chenliang Li:
Multi-label Dataless Text Classification with Topic Modeling. - Mohammad Reza Karimi, Mario Lucic, S. Hamed Hassani, Andreas Krause:
Stochastic Submodular Maximization: The Case of Coverage Functions. - Anuroop Sriram, Heewoo Jun, Yashesh Gaur, Sanjeev Satheesh:
Robust Speech Recognition Using Generative Adversarial Networks. - Markus Dumke:
Double Q(σ) and Q(σ, λ): Unifying Reinforcement Learning Control Algorithms. - Mengxiao Zhang, Wangquan Wu, Yanren Zhang, Kun He, Tao Yu, Huan Long, John E. Hopcroft:
The Local Dimension of Deep Manifold. - Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko:
Adversarial Dropout Regularization. - Yi Wang, Jianwu Wan, Jun Guo, Yiu-Ming Cheung, Pong C. Yuen:
Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification. - Saeed Ghodsi, Hoda Mohammadzade, Erfan Korki:
Simultaneous Joint and Object Trajectory Templates for Human Activity Recognition from 3-D Data. - Cameron Musco, David P. Woodruff:
Is Input Sparsity Time Possible for Kernel Low-Rank Approximation? - Michael A. Bender, Martin Farach-Colton, Mayank Goswami, Rob Johnson, Samuel McCauley, Shikha Singh:
Bloom Filters, Adaptivity, and the Dictionary Problem. - Alper Köse, Muriel Médard:
Scheduling Wireless Ad Hoc Networks in Polynomial Time Using Claw-free Conflict Graphs. - Amir Abboud, Keren Censor-Hillel, Seri Khoury, Christoph Lenzen:
Fooling Views: A New Lower Bound Technique for Distributed Computations under Congestion. - Amritanshu Pandey, Marko Jereminov, Gabriela Hug, Larry T. Pileggi:
Improving Power Flow Robustness via Circuit Simulation Methods. - Ben Doyle, Patrick Korth, Kyle Nekritz, Zane Salem:
Trustware: A Device-based Protocol for Verifying Client Legitimacy. - Noyan Evirgen, Alper Köse:
The Effect of Communication on Noncooperative Multiplayer Multi-Armed Bandit Problems. - Mahdi Cheraghchi:
Capacity upper bounds for deletion-type channels. - Maarten Grachten, Carlos Eduardo Cancino Chacón:
Strategies for Conceptual Change in Convolutional Neural Networks. - Alper Köse, Can Kanbak, Noyan Evirgen:
Performance Comparison of Algorithms for Movie Rating Estimation. - Donghyun Kim, Junhyeok Ahn, Orion Campbell, Nicholas Paine, Luis Sentis:
Investigations of a Robotic Testbed with Viscoelastic Liquid Cooled Actuators. - Chris Quackenbush, Mohamed Zahran:
Beyond Profiling: Scaling Profiling Data Usage to Multiple Applications. - Vishesh Jain, Frederic Koehler, Elchanan Mossel:
Approximating Partition Functions in Constant Time. - Mahdieh Poostchi:
Spatial Pyramid Context-Aware Moving Object Detection and Tracking for Full Motion Video and Wide Aerial Motion Imagery. - Yipeng Hu, Marc Modat
Label-driven weakly-supervised learning for multimodal deformable image registration. - Marian-Andrei Rizoiu
SIR-Hawkes: on the Relationship Between Epidemic Models and Hawkes Point Processes. - Long Chen, Jigang Wu, Xin Long, Zikai Zhang:
ENGINE: Cost Effective Offloading in Mobile Edge Computing with Fog-Cloud Cooperation. - Anjalie Field:
Authorship Analysis of Xenophon's Cyropaedia. - Chanoh Park
Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM. - Timothy Carpenter, Ario Salmasi, Anastasios Sidiropoulos:
Routing Symmetric Demands in Directed Minor-Free Graphs with Constant Congestion. - Karthik Elamvazhuthi, Hendrik Kuiper, Matthias Kawski, Spring Berman:
Bilinear Controllability of a Class of Advection-Diffusion-Reaction Systems. - Jeremy T. Fineman:
Nearly Work-Efficient Parallel Algorithm for Digraph Reachability. - Wei Li, Zheng Yang:
Distributed Representation for Traditional Chinese Medicine Herb via Deep Learning Models. - Junyao Guo, Gabriela Hug, Ozan K. Tonguz:
Impact of Communication Delay on Asynchronous Distributed Optimal Power Flow Using ADMM. - Olivia Michael, Oliver Obst, Falk Schmidsberger, Frieder Stolzenburg:
RoboCupSimData: A RoboCup soccer research dataset. - Hector Zenil, Liliana Badillo, Santiago Hernández-Orozco, Francisco Hernández Quiroz:
Coding-theorem Like Behaviour and Emergence of the Universal Distribution from Resource-bounded Algorithmic Probability. - Fang Yuan, Zhe Wang, Jie Lin, Luis Fernando D'Haro, Jung-Jae Kim, Zeng Zeng, Vijay Chandrasekhar:
End-to-End Video Classification with Knowledge Graphs. - Aris Pagourtzis, Giorgos Panagiotakos, Dimitris Sakavalas:
Joining Local Knowledge to Communicate Reliably (Extended Abstract). - Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang:
A Survey on Dialogue Systems: Recent Advances and New Frontiers. - Xiao Lin, Devi Parikh:
Active Learning for Visual Question Answering: An Empirical Study. - Trung Le, Tu Dinh Nguyen, Dinh Q. Phung:
KGAN: How to Break The Minimax Game in GAN. - Ju-Hong Lee, Moon-Ju Kang, Bumghi Choi:
Learning Solving Procedure for Artificial Neural Network. - Jorge Gomes, Isabel Campos Plasencia, Emanuele Bagnaschi
Enabling rootless Linux Containers in multi-user environments: the udocker tool. - Alexandre Défossez, Francis R. Bach:
AdaBatch: Efficient Gradient Aggregation Rules for Sequential and Parallel Stochastic Gradient Methods. - Zijie Zheng, Lingyang Song, Zhu Han, Geoffrey Ye Li, H. Vincent Poor:
Game Theoretic Approaches to Massive Data Processing in Wireless Networks. - Athanasia Zlatintsi, Isidoros Rodomagoulakis, Petros Koutras, A. C. Dometios, Vassilis Pitsikalis, Costas S. Tzafestas, Petros Maragos:
Multimodal Signal Processing and Learning Aspects of Human-Robot Interaction for an Assistive Bathing Robot. - Gen Li, Jingkai Yan, Yuantao Gu:
On the Outage Probability Conjecture for MIMO Channels. - Jérôme Gaveau, Christophe J. Le Martret, Mohamad Assaad:
Performance Analysis of Trial and Error Algorithms. - (Withdrawn) Fusible HSTs and the randomized k-server conjecture.
- Hang Xiao, Zhengli Xing, Linxiao Yang, Jun Fang, Yanlun Wu:
Simultaneous Block-Sparse Signal Recovery Using Pattern-Coupled Sparse Bayesian Learning. - Zhun Sun, Mete Ozay, Takayuki Okatani:
HyperNetworks with statistical filtering for defending adversarial examples. - N. Mohana, Kalyani Desikan, V. Rajkumar Dare:
Language properties and Grammar of Parallel and Series Parallel Languages. - Rafail Ismayilov, Megumi Kaneko, Takefumi Hiraguri, Kentaro Nishimori:
Adaptive Beam-Frequency Allocation Algorithm with Position Uncertainty for Millimeter-Wave MIMO Systems. - N. Annamalai, C. Durairajan:
On Codes over Zp2 and its Covering Radius. - Lukás Svoboda, Slobodan Beliga:
Evaluation of Croatian Word Embeddings. - Reshef Meir:
Directed Graph Embeddings. - Anne-Sophie Himmel, Clemens Hoffmann, Pascal Kunz, Vincent Froese, Manuel Sorge:
Algorithmic Aspects of Point Visibility Graphs. - Hei Victor Cheng, Emil Björnson, Erik G. Larsson:
Performance Analysis of NOMA in Training Based Multiuser MIMO Systems. - Anisa Halimi, Erman Ayday:
Profile Matching Across Unstructured Online Social Networks: Threats and Countermeasures. - Ismail Aydogdu, Fatmanur Gursoy:
On Z2Z4[ξ]-Skew Cyclic Codes. - Anushree Neogi, Prasanna Chaporkar, Abhay Karandikar:
Resource Allocation for D2D Communications with Partial Channel State Information. - Amol Wakankar, Paritosh K. Pandya, Raj Mohan Matteplackel:
DCSYNTH: Guided Reactive Synthesis with Soft Requirements for Robust Controller and Shield Synthesis. - Yossi Azar, Ashish Chiplunkar, Haim Kaplan:
Prophet Secretary: Surpassing the 1-1/e Barrier. - Mahardhika Pratama, Eric Dimla, Edwin Lughofer, Witold Pedrycz, Tegoeh Tjahjowidodo:
Online Tool Condition Monitoring Based on Parsimonious Ensemble+. - Gábor Dániel Balogh, I. Z. Reguly, Gihan R. Mudalige:
Comparison of Parallelisation Approaches, Languages, and Compilers for Unstructured Mesh Algorithms on GPUs. - Hannaneh Najdataei, Yiannis Nikolakopoulos, Vincenzo Gulisano, Marina Papatriantafilou:
Lisco: A Continuous Approach in LiDAR Point-cloud Clustering. - Chengqing Li, Dongdong Lin:
Cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography. - Dimitrios Milios, Guido Sanguinetti, David Schnoerr:
Probabilistic Model Checking for Continuous Time Markov Chains via Sequential Bayesian Inference. - Pavel Mach, Zdenek Becvar:
Combined shared/dedicated resource allocation for Device-to-Device Communication. - Stanislaw Saganowski, Piotr Bródka, Michal Koziarski, Przemyslaw Kazienko:
Analysis of group evolution prediction in complex networks. - Alkida Balliu, Juho Hirvonen, Janne H. Korhonen, Tuomo Lempiäinen, Dennis Olivetti, Jukka Suomela:
New Classes of Distributed Time Complexity. - Jianping Yao, Xiangyun Zhou, Yuan Liu, Suili Feng:
Secure Transmission in Linear Multihop Relaying Networks. - Antonio Mecozzi, Mark Shtaif:
Information capacity of direct detection optical transmission systems. - Jianshu Zhang, Yixing Zhu, Jun Du, Li-Rong Dai:
RAN: Radical analysis networks for zero-shot learning of Chinese characters. - Erwan Le Merrer, Patrick Pérez, Gilles Trédan:
Adversarial Frontier Stitching for Remote Neural Network Watermarking. - Kerstin Vater, Timo Betcke, Boris Dilba:
Simple and efficient GPU parallelization of existing H-Matrix accelerated BEM code. - Christian Ikenmeyer, Balagopal Komarath, Christoph Lenzen, Vladimir Lysikov
On the complexity of hazard-free circuits. - Ruben Mayer, Christian Mayer, Larissa Laich:
The TensorFlow Partitioning and Scheduling Problem: It's the Critical Path! - Mahdieh Poostchi, Kannappan Palaniappan, Da Li, Michela Becchi, Filiz Bunyak, Guna Seetharaman:
Fast Integral Histogram Computations on GPU for Real-Time Video Analytics. - Rakshith Shetty, Bernt Schiele, Mario Fritz:
A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation. - Robert B. Allen, Eunsang Yang, Tatsawan Timakum:
A Foundry of Human Activities and Infrastructures. - Stefano Buzzi, Carmen D'Andrea, Tommaso Foggi, Alessandro Ugolini, Giulio Colavolpe:
Single-Carrier Modulation versus OFDM for Millimeter-Wave Wireless MIMO. - Matan Levi, Yair Allouche, Aryeh Kontorovich:
Advanced Analytics for Connected Cars Cyber Security. - Serge Kas Hanna, Salim El Rouayheb:
Correcting Bursty and Localized Deletions Using Guess & Check Codes. - Hao Huang, Ying Hu, Haihua Xu:
Mandarin tone modeling using recurrent neural networks. - Shanshan Han, Hongzhi Wang, Jialin Wan, Jianzhong Li:
An Iterative Scheme for Leverage-based Approximate Aggregation. - Eirikur Agustsson, Alexander Sage, Radu Timofte, Luc Van Gool:
Optimal transport maps for distribution preserving operations on latent spaces of Generative Models. - Jaroslaw Byrka, Krzysztof Sornat, Joachim Spoerhase:
Constant-Factor Approximation for Ordered k-Median. - Syed Eqbal Alam, Robert Shorten, Fabian Wirth, Jia Yuan Yu:
Distributed Multi-resource Allocation with Little Communication Overhead. - Julia Chuzhoy, David H. K. Kim, Rachit Nimavat:
Almost Polynomial Hardness of Node-Disjoint Paths in Grids. - Davide Salomoni, Luciano Gaido, Isabel Campos Plasencia, Jesús E. Marco de Lucas, P. Solagna, Jorge Gomes, Ludek Matyska, P. Fuhrman, Marcus Hardt, Giacinto Donvito, Lukasz Dutka, Marcin Plóciennik, Roberto Barbera, Cristina Aiftimiei, Ignacio Blanquer, Andrea Ceccanti, Mário David, Álvaro López García, Germán Moltó, Pablo Orviz Fernández, Zdenek Sustr, Matthew Viljoen
INDIGO-DataCloud: A data and computing platform to facilitate seamless access to e-infrastructures. - Weihong Li, Benchao Li, Wei-Shi Zheng:
PersonRank: Detecting Important People in Images. - Tomasz Korbak, Paulina Zak:
Fine-tuning Tree-LSTM for phrase-level sentiment classification on a Polish dependency treebank. Submission to PolEval task 2. - Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille:
Mitigating adversarial effects through randomization. - Martin Rayrole, David Faura, Marc Gatti:
Reducing Certification Granularity to Increase Adaptability of Avionics Software. - Dimitrios Marmanis, Wei Yao, Fathalrahman Adam, Mihai Datcu, Peter Reinartz, Konrad Schindler, Jan Dirk Wegner, Uwe Stilla:
Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data. - Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, Hemamalini Subramanian, Hema Venkatarangan:
Hi, how can I help you?: Automating enterprise IT support help desks. - Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville:
Neural Language Modeling by Jointly Learning Syntax and Lexicon. - Lewis Tseng, Takamasa Higuchi, Onur Altintas:
When Cars Meet Distributed Computing: Data Storage as an Example. - Xiaoliang Dai, Hongxu Yin, Niraj K. Jha:
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm. - Arman Shojaeifard, Kai-Kit Wong, Wei Yu, Gan Zheng, Jie Tang:
Full-Duplex Cloud Radio Access Network: Stochastic Design and Analysis. - Ali Kariminezhad, Aydin Sezgin:
Towards Optimal Energy Harvesting Receiver Design in MIMO Systems. - Tomas Gavenciak, Dusan Knop, Martin Koutecký:
Applying Convex Integer Programming: Sum Multicoloring and Bounded Neighborhood Diversity. - Kiavash Kianfar, Christopher Pockrandt, Bahman Torkamandi, Haochen Luo, Knut Reinert:
FAMOUS: Fast Approximate string Matching using OptimUm search Schemes. - Damian Straszak, Nisheeth K. Vishnoi:
Computing Maximum Entropy Distributions Everywhere. - Saeed Haji Seyed Javadi, Pedram Gharani, Shahram Khadivi:
Detecting Community Structure in Dynamic Social Networks Using the Concept of Leadership. - Derya Malak, Howard Huang, Jeffrey G. Andrews:
Throughput Maximization for Delay-Sensitive Random Access Communication. - Vladimir Lazarev, Serhii Nazarovets, Alexey Skalaban:
Evaluation of research activities of universities of Ukraine and Belarus: a set of bibliometric indicators and its implementation. - Xiaoyang Li, Changsheng You, Sergey Andreev, Yi Gong, Kaibin Huang:
Wirelessly Powered Crowd Sensing: Joint Power Transfer, Sensing, Compression, and Transmission. - Sandeep Vidyapu
From Multimodal to Unimodal Webpages for Developing Countries. - Dufan Wu, Kyung Sang Kim, Bin Dong, Quanzheng Li:
End-to-End Abnormality Detection in Medical Imaging. - Robert Ganian, Sebastian Ordyniak, M. S. Ramanujan:
On Structural Parameterizations of the Edge Disjoint Paths Problem. - Anupam Gupta, Guru Guruganesh, Amit Kumar, David Wajc:
Fully-Dynamic Bin Packing with Limited Repacking. - Nico Messikommer, Simon Schaefer, Renaud Dubé, Mark Pfeiffer:
Cone Detection using a Combination of LiDAR and Vision-based Machine Learning. - Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi:
Neural Speed Reading via Skim-RNN. - Samiya Khan, Kashish Ara Shakil, Mansaf Alam:
Workflow-Based Big Data Analytics in The Cloud Environment Present Research Status and Future Prospects. - Curt Hastings, Ronnie Mainieri:
Computer activity learning from system call time series. - Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam:
Bounding and Counting Linear Regions of Deep Neural Networks. - Eduard Eiben, Robert Ganian, Sebastian Ordyniak:
Small Resolution Proofs for QBF using Dependency Treewidth. - Neil Lutz, Donald M. Stull:
Projection Theorems Using Effective Dimension. - Qiyu Kang, Wee Peng Tay:
Sequential Multi-Class Labeling in Crowdsourcing. - Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg:
Characterizing Sparse Connectivity Patterns in Neural Networks. - Karim Ahmed, Nitish Shirish Keskar, Richard Socher:
Weighted Transformer Network for Machine Translation. - Asit Chakraborti, Syed Obaid Amin, Aytac Azgin, Ravishankar Ravindran, Guoqiang Wang:
ICN-aware Network Slicing Framework for Mobile Data Distribution. - Suvam Patra, Pranjal Maheshwari, Shashank Yadav, Chetan Arora, Subhashis Banerjee:
A Joint 3D-2D based Method for Free Space Detection on Roads. - Hatem A. Mahmoud:
Detecting Disguised Plagiarism. - Abbas Soltanian, Diala Naboulsi, Mohammad A. Salahuddin, Roch H. Glitho, Halima Elbiaze, Constant Wette:
ADS: Adaptive and Dynamic Scaling Mechanism for Multimedia Conferencing Services in the Cloud. - Manuela Geiß, John Anders, Peter F. Stadler, Nicolas Wieseke, Marc Hellmuth:
Reconstructing Gene Trees From Fitch's Xenology Relation. - Anirban Roychowdhury, Srinivasan Parthasarathy:
Adaptive Bayesian Sampling with Monte Carlo EM. - Eike Neumann:
The Fréchet distance of surfaces is computable. - Prafulla Kumar Choubey, Ruihong Huang:
TAMU at KBP 2017: Event Nugget Detection and Coreference Resolution. - Raghuvansh R. Saxena, Ariel Schvartzman, S. Matthew Weinberg:
The menu complexity of "one-and-a-half-dimensional" mechanism design. - Ahmed El Shafie, Hamadi Chihaoui, Ridha Hamila, Naofal Al-Dhahir, Adel Gastli, Lazhar Ben-Brahim:
On the Monetary Loss Due to Passive and Active Attacks on MIMO Smart Grid Communications. - Yonatan Belinkov, Yonatan Bisk:
Synthetic and Natural Noise Both Break Neural Machine Translation. - Gregory B. Rehm, Michael Thompson, Brad Busenius, Jennifer Fowler:
Mobile Encryption Gateway (MEG) for Email Encryption. - Mohsen Ghaffari, David G. Harris, Fabian Kuhn:
On Derandomizing Local Distributed Algorithms. - Alireza Partovi, Rafael Rodrigues da Silva, Hai Lin:
Reactive Integrated Mission and Motion planning. - Suyoun Kim, Michael L. Seltzer:
Towards Language-Universal End-to-End Speech Recognition. - Aren Jansen, Manoj Plakal, Ratheet Pandya, Daniel P. W. Ellis, Shawn Hershey, Jiayang Liu, R. Channing Moore, Rif A. Saurous:
Unsupervised Learning of Semantic Audio Representations. - Ziwei Ji, Ruta Mehta, Matus Telgarsky:
Social Welfare and Profit Maximization from Revealed Preferences. - Suyoun Kim, Michael L. Seltzer, Jinyu Li, Rui Zhao:
Improved training for online end-to-end speech recognition systems. - Urs Köster, Tristan Webb, Xin Wang, Marcel Nassar, Arjun K. Bansal, William Constable, Oguz Elibol, Stewart Hall, Luke Hornof, Amir Khosrowshahi, Carey Kloss, Ruby J. Pai, Naveen Rao:
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. - Jay Ming Wong, Syler Wagner, Richard Connor Lawson
SegICP-DSR: Dense Semantic Scene Reconstruction and Registration. - Kumar Abhinav, Jaideep Singh Chauhan, Debasis Sarkar:
Image Segmentation of Multi-Shaped Overlapping Objects. - Aymen Omri, Mazen O. Hasna, Muhammad Zeeshan Shakir:
Mode Selection Schemes for D2D Enabled Aerial Networks. - Nadav Dym, Yaron Lipman, Raz Slutsky:
A Linear Variational Principle for Riemann Mapping and Discrete Conformality. - Daniel J. Katz, Eli Moore:
Sequence Pairs with Lowest Combined Autocorrelation and Crosscorrelation. - Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley:
Visually-Aware Fashion Recommendation and Design with Generative Image Models. - Ravishankar Ravindran, Asit Chakraborti, Syed Obaid Amin, Aytac Azgin, Guoqiang Wang:
Realizing ICN in 3GPP's 5G NextGen Core Architecture. - Daniel J. Katz, Stanislav A. Trunov:
Rudin-Shapiro-Like Polynomials with Maximum Asymptotic Merit Factor. - Abhronil Sengupta, Kaushik Roy:
Encoding Neural and Synaptic Functionalities in Electron Spin: A Pathway to Efficient Neuromorphic Computing. - Attila Szabó
Challenges in Disentangling Independent Factors of Variation. - Torben Amtoft, Anindya Banerjee:
A Theory of Slicing for Probabilistic Control-Flow Graphs. - Jiajun Zhang, Jinkun Tao, Jiangtao Huangfu, Zhiguo Shi:
Doppler-Radar Based Hand Gesture Recognition System Using Convolutional Neural Networks. - Guoqing Zheng, Yiming Yang, Jaime G. Carbonell:
Convolutional Normalizing Flows. - Torben Amtoft, Anindya Banerjee:
A Semantics for Probabilistic Control-Flow Graphs. - Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich:
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. - Youjip Won, Jaemin Jung, Gyeongyeol Choi, Joontaek Oh, Seongbae Son, Joo Young Hwang, Sangyeun Cho:
Barrier Enabled IO Stack for Flash Storage. - Longhao Yuan, Qibin Zhao, Jianting Cao:
High-order Tensor Completion for Data Recovery via Sparse Tensor-train Optimization. - Yuwei Chen, Qinglai Guo, Hongbin Sun, Zhengshuo Li, WenChuan Wu:
A Water Mass Method and Its Application to Integrated Heat and Electricity Dispatch Considering Thermal Dynamics. - Mark Zhandry:
Quantum Lightning Never Strikes the Same State Twice. - Alexey Gribov, Dhinakaran Vinayagamurthy, Sergey Gorbunov:
StealthDB: a Scalable Encrypted Database with Full SQL Query Support. - Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher:
Non-Autoregressive Neural Machine Translation. - Liston Kiwoli, Anael Sam, Emmanuel C. Manasseh:
Performance analysis of carrier aggregation for various mobile network implementations scenario based on spectrum allocated. - Kwan-Suk Kim:
Intelligent Collision Management in Dynamic Environments for Human-Centered Robots. - Jun Zhang, Daqing Wan:
Explicit Deep Holes of Reed-Solomon Codes. - Seokseong Jeon, Chansu Yu, Young-Joo Suh:
Pre-shared Key Agreement for Secure Public Wi-Fi. - Dinesh Subhraveti, Sri Goli, Serge Hallyn, Ravi Chamarthy, Christos Kozyrakis:
AppSwitch: Resolving the Application Identity Crisis. - Ricardo Baeza-Yates, Zeinab Liaghat:
Quality-Efficiency Trade-offs in Machine Learning for Text Processing. - Maithra Raghu, Alex Irpan, Jacob Andreas, Robert Kleinberg, Quoc V. Le, Jon M. Kleinberg:
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? - Lichun Li, Cedric Langbort:
Iterative Computation of Security Strategies of Matrix Games with Growing Action Set. - Kai Sheng Tai, Vatsal Sharan, Peter Bailis, Gregory Valiant:
Finding Heavily-Weighted Features in Data Streams. - Lichun Li, Cedric Langbort, Jeff S. Shamma
Security Strategies of Both Players in Asymmetric Information Zero-Sum Stochastic Games with an Informed Controller. - Vatsal Sharan, Sham M. Kakade, Percy Liang, Gregory Valiant:
Learning Overcomplete HMMs. - Prakash Chauhan, Sanjib Kumar Deka, Monisha Devi, Nityananda Sarma:
Cooperative Spectrum Sensing Scheduling in Multi-channel Cognitive Radio Networks: A broad perspective. - Seongchan Kim, Seungkyun Hong, Minsu Joh, Sa-Kwang Song:
DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data. - Venkata Subramanian Viraraghavan, Arpan Pal, Rangarajan Aravind, Hema A. Murthy:
Non-uniform time-scaling of Carnatic music transients. - Jae-Seok Choi, Munchurl Kim:
Can Maxout Units Downsize Restoration Networks? - Single Image Super-Resolution Using Lightweight CNN with Maxout Units. - Pranav Kumar Jha, D. Sriram Kumar:
Achievable Rate Analysis of Relay Assisted Cooperative NOMA over Rician Fading Channels. - Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal, Yoshua Bengio:
Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks. - P. Balasubramanian:
A Critique on "Asynchronous Logic Implementation Based on Factorized DIMS". - Haiyun He, Shuowen Zhang, Yong Zeng, Rui Zhang:
Joint Altitude and Beamwidth Optimization for UAV-Enabled Multiuser Communications. - Mehmet Emir Koksal:
Use of Commutativity for Cryptology in Secret Communication. - Vikram Kumar, Reza Arablouei, Raja Jurdak, Branislav Kusy, Neil W. Bergmann:
Multi-mode Tracking of a Group of Mobile Agents. - Kristiaan Pelckmans:
FADO: A Deterministic Detection/Learning Algorithm. - Masato Asahara, Ryohei Fujimaki:
Distributed Bayesian Piecewise Sparse Linear Models. - Zhanjie Song, Shidong Li, Ningning Han:
The convergence guarantee of the iterative thresholding algorithm with suboptimal feedbacks for large systems. - Viral Parekh, Ramanathan Subramanian, Dipanjan Roy, C. V. Jawahar:
An EEG-based Image Annotation System. - Cagri Ozcinar, Ana De Abreu, Aljosa Smolic:
Viewport-aware adaptive 360° video streaming using tiles for virtual reality. - Viivi Uurtio, João M. Monteiro, Jaz S. Kandola, John Shawe-Taylor, Delmiro Fernandez-Reyes, Juho Rousu:
A Tutorial on Canonical Correlation Methods. - Xiangyuan Jiang, Shuai Li:
Beetle Antennae Search without Parameter Tuning (BAS-WPT) for Multi-objective Optimization. - Mohit Jain, Minesh Mathew, C. V. Jawahar:
Unconstrained Scene Text and Video Text Recognition for Arabic Script. - Chaoyun Zhang, Xi Ouyang, Paul Patras:
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network. - Amichai Painsky, Naftali Tishby:
Gaussian Lower Bound for the Information Bottleneck Limit. - Carlos Cancino Chacón, Martin Bonev, Amaury Durand, Maarten Grachten, Andreas Arzt, Laura Bishop, Werner Goebl, Gerhard Widmer:
The ACCompanion v0.1: An Expressive Accompaniment System. - Christopher Mollén, Ulf Gustavsson, Thomas Eriksson, Erik G. Larsson:
Spatial Characteristics of Distortion Radiated from Antenna Arrays with Transceiver Nonlinearities. - Md. Maruf Hassan, Kaushik Sarker
Detection of Wordpress Content Injection Vulnerability. - Christian Schüller, Roi Poranne, Olga Sorkine-Hornung:
Shape Representation by Zippable Ribbons. - Faith Ellen, Rati Gelashvili, Leqi Zhu:
Revisionist Simulations: A New Approach to Proving Space Lower Bounds. - Mikhail Prokopenko, Michael Harré, Joseph T. Lizier, Fabio Boschetti, Pavlos Peppas, Stuart A. Kauffman:
Self-referential basis of undecidable dynamics: from The Liar Paradox and The Halting Problem to The Edge of Chaos. - Ebenezer Esenogho, Elie Ngomseu Mambou:
Integrating Queuing Regime into Cognitive Radio Channel Aggregation Policies: A Performance Evaluation. - Miklós Homolya, Robert C. Kirby, David A. Ham:
Exposing and exploiting structure: optimal code generation for high-order finite element methods. - Willi Mann, Nikolaus Augsten, Christian S. Jensen:
SWOOP: Top-k Similarity Joins over Set Streams. - Lin Xiang, Derrick Wing Kwan Ng, Robert Schober, Vincent W. S. Wong:
Cache-Enabled Physical Layer Security for Video Streaming in Backhaul-Limited Cellular Networks. - Ebenezer Esenogho, Elie Ngomseu Mambou:
Evaluation of Handover Exchange Schemes Between Two Cognitive Radio Base Stations with and without Buffers. - Yoel Zeldes, Stavros Theodorakis, Efrat Solodnik, Aviv Rotman, Gil Chamiel, Dan Friedman:
Deep density networks and uncertainty in recommender systems. - Liang Shen, Zihan Yue, Fan Feng, Quan Chen, Shihao Liu, Jie Ma:
MSR-net: Low-light Image Enhancement Using Deep Convolutional Network. - Bernhard Gleiss, Laura Kovács, Martin Suda:
Splitting Proofs for Interpolation. - Joan Solà:
Quaternion kinematics for the error-state Kalman filter. - Ji Wen:
Structure Regularized Bidirectional Recurrent Convolutional Neural Network for Relation Classification. - Juan C. Quiroz, Norman Bin Mariun, Mohammad Rezazadeh Mehrjou, Mahdi Izadi, Norhisam Misron, Mohd Amran Mohd Radzi:
Fault Detection of Broken Rotor Bar in LS-PMSM Using Random Forests. - Filip Radenovic, Giorgos Tolias, Ondrej Chum:
Fine-tuning CNN Image Retrieval with No Human Annotation. - Jose L. Aragon:
CGAlgebra: a Mathematica package for conformal geometric algebra. - An Bian, Kfir Y. Levy, Andreas Krause, Joachim M. Buhmann:
Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms. - Jordi Pons, Oriol Nieto, Matthew Prockup, Erik M. Schmidt, Andreas F. Ehmann, Xavier Serra:
End-to-end learning for music audio tagging at scale. - Michael Laskey, Chris Powers, Ruta Joshi, Arshan Poursohi, Ken Goldberg:
Learning Robust Bed Making using Deep Imitation Learning with DART. - Saeid Motiian, Quinn Jones, Seyed Mehdi Iranmanesh, Gianfranco Doretto:
Few-Shot Adversarial Domain Adaptation. - Somil Bansal, Mo Chen, Claire J. Tomlin:
Safe and Resilient Multi-vehicle Trajectory Planning Under Adversarial Intruder. - Xiangyu Liu, Yunhong Wang, Qingjie Liu:
Remote Sensing Image Fusion Based on Two-stream Fusion Network. - Octavio Arriaga, Paul Plöger, Matias Valdenegro-Toro:
Image Captioning and Classification of Dangerous Situations. - Mehdi Sharifzadeh, Chirag Agarwal, Mohammed Aloraini, Dan Schonfeld:
Convolutional Neural Network Steganalysis's Application to Steganography. - Sourjya Dutta, C. Nicolas Barati, Aditya Dhananjay, Sundeep Rangan:
5G Millimeter Wave Cellular System Capacity with Fully Digital Beamforming. - Felix Engelmann, Florian Glaser, Henning Kopp, Frank Kargl, Christof Weinhardt:
Towards an Economic Analysis of Routing in Payment Channel Networks. - Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Volkan Cevher:
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach. - Nicole Immorlica, Brendan Lucier, Jieming Mao, Vasilis Syrgkanis, Christos Tzamos:
Combinatorial Assortment Optimization. - Edouard Grave, Moustapha Cissé, Armand Joulin:
Unbounded cache model for online language modeling with open vocabulary. - Jorge Valverde Tohalino, Diego R. Amancio:
Extractive Multi-document Summarization Using Multilayer Networks. - Oren Mangoubi, Nisheeth K. Vishnoi:
Convex Optimization with Nonconvex Oracles. - David J. Lillis:
Internalising Interaction Protocols as First-Class Programming Elements in Multi Agent Systems. - Sebastian U. Stich, Anant Raj, Martin Jaggi:
Safe Adaptive Importance Sampling. - Jose M. Alvarez, Mathieu Salzmann:
Compression-aware Training of Deep Networks. - Sanjeev Arora, Andrej Risteski, Yi Zhang:
Theoretical limitations of Encoder-Decoder GAN architectures. - Artur Jordão, Ricardo Barbosa Kloss, William Robson Schwartz:
Latent hypernet: Exploring all Layers from Convolutional Neural Networks. - Brian Bockelman, Zhe Zhang, Jim Pivarski:
Optimizing ROOT IO For Analysis. - Pierluigi Gallo, Francesco Randazzo, Ignazio Gallo:
e-Fair: Aggregation in e-Commerce for Exploiting Economies of Scale. - Chenxiao Zhu, Lingqing Xu, Xiao-Yang Liu, Feng Qian:
Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization. - Volodymyr Kuleshov, Stefano Ermon:
Neural Variational Inference and Learning in Undirected Graphical Models. - Antonin Macé:
Measuring Influence in Science: Standing on the Shoulders of Which Giants? - Thomas Baumeister, Steven L. Brunton, J. Nathan Kutz:
Deep Learning and Model Predictive Control for Self-Tuning Mode-Locked Lasers. - Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow:
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning. - Bart van Merriënboer, Alexander B. Wiltschko, Dan Moldovan:
Tangent: Automatic Differentiation Using Source Code Transformation in Python. - Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He
Contaminant Removal for Android Malware Detection Systems. - Yuhang Lu
Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects. - Brian Brubach, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu:
Algorithms to Approximate Column-Sparse Packing Problems. - Alexey A. Bobtsov, Anton A. Pyrkin, Romeo Ortega, Alexey A. Vedyakov:
State Observers for Sensorless Control of Magnetic Levitation Systems. - Qiuhua Huang, Renke Huang, Rui Fan, Jason C. Fuller, Trevor Hardy, Zhenyu (Henry) Huang, Vijay Vittal:
A Comparative Study of Interface Techniques for Transmission and Distribution Dynamic Co-Simulation. - Anton A. Pyrkin, Alexey A. Vedyakov, Romeo Ortega, Alexey A. Bobtsov:
A Robust Adaptive Flux Observer for a Class of Electromechanical Systems. - Kuan Fang, Yu Xiang, Silvio Savarese:
Recurrent Autoregressive Networks for Online Multi-Object Tracking. - Yan Shvartzshnaider, Zvonimir Pavlinovic, Thomas Wies, Lakshminarayanan Subramanian, Prateek Mittal, Helen Nissenbaum:
The VACCINE Framework for Building DLP Systems. - Shinhoo Kang, Francis X. Giraldo, Tan Bui-Thanh:
IMEX HDG-DG: a coupled implicit hybridized discontinuous Galerkin (HDG) and explicit discontinuous Galerkin (DG) approach for shallow water systems. - Yecheng Lyu, Lin Bai, Xinming Huang:
Real-Time Road Segmentation Using LiDAR Data Processing on an FPGA. - Rita Ibrahim, Mohamad Assaad, Berna Sayraç, Anthony Ephremides:
Stability Analysis of TDD Networks Revisited: A trade-off between Complexity and Precision. - Christoph Trattner, David Elsweiler:
Food Recommender Systems: Important Contributions, Challenges and Future Research Directions. - Edgar Sucar, Jean-Bernard Hayet:
Bayesian Scale Estimation for Monocular SLAM Based on Generic Object Detection for Correcting Scale Drift. - Kaveh Mahdaviani, Ashish Khisti, Soheil Mohajer:
Bandwidth Adaptive & Error Resilient MBR Exact Repair Regenerating Codes. - Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He:
On the Discrimination-Generalization Tradeoff in GANs. - Sepehr Rezvani, Nader Mokari, Mohammad R. Javan, Eduard A. Jorswieck:
Fairness and Transmission-Aware Caching and Delivery Policies in OFDMA-Based HetNets. - Huiting Liu, Tao Lin, Hanfei Sun, Weijian Lin, Chih-Wei Chang, Teng Zhong, Alexander I. Rudnicky:
RubyStar: A Non-Task-Oriented Mixture Model Dialog System. - Sharan Narang, Eric Undersander, Gregory F. Diamos:
Block-Sparse Recurrent Neural Networks. - Chris Paxton, Kapil D. Katyal, Christian Rupprecht, Raman Arora, Gregory D. Hager:
Learning to Imagine Manipulation Goals for Robot Task Planning. - Zi-Yi Dou:
Metric Learning-based Generative Adversarial Network. - Mostafa Dehghani, Arash Mehrjou, Stephan Gouws, Jaap Kamps, Bernhard Schölkopf:
Fidelity-Weighted Learning. - Romain Fontugne, Anant Shah, Emile Aben:
The (thin) Bridges of AS Connectivity: Measuring Dependency using AS Hegemony. - Nicole Nichols, Mark Raugas
Faster Fuzzing: Reinitialization with Deep Neural Models. - Haiqing Ren, Weiqiang Wang:
A New Hybrid-parameter Recurrent Neural Networks for Online Handwritten Chinese Character Recognition. - Biswarup Bhattacharya, Abhishek Sinha:
Deep Fault Analysis and Subset Selection in Solar Power Grids. - Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin:
Multi-label Image Recognition by Recurrently Discovering Attentional Regions. - Xiao Zhou, Peilin Jiang, Fei Wang:
Heuristic Search for Structural Constraints in Data Association. - Nour Moustafa, Jill Slay:
RCNF: Real-time Collaborative Network Forensic Scheme for Evidence Analysis. - Nickolaos Koroniotis, Nour Moustafa, Elena Sitnikova, Jill Slay:
Towards Developing Network forensic mechanism for Botnet Activities in the IoT based on Machine Learning Techniques. - Thomas Marsden, Nour Moustafa, Elena Sitnikova, Gideon Creech:
Probability Risk Identification Based Intrusion Detection System for SCADA Systems. - Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart Russell, Anca D. Dragan:
Inverse Reward Design. - Marwa Keshk, Nour Moustafa, Elena Sitnikova, Gideon Creech:
Privacy Preservation Intrusion Detection Technique for SCADA Systems. - Nour Moustafa, Gideon Creech, Elena Sitnikova, Marwa Keshk:
Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing. - Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury:
SIMILARnet: Simultaneous Intelligent Localization and Recognition Network. - Yuxiu Hua, Zhifeng Zhao, Rongpeng Li, Xianfu Chen, Zhiming Liu, Honggang Zhang:
Traffic Prediction Based on Random Connectivity in Deep Learning with Long Short-Term Memory. - Nilesh Tripuraneni, Mitchell Stern, Chi Jin, Jeffrey Regier, Michael I. Jordan:
Stochastic Cubic Regularization for Fast Nonconvex Optimization. - Fengkui Ju, Gianluca Grilletti:
A Dynamic Solution to the Puzzle of Sea Battle. - Nguyen Cong Luong, Zehui Xiong, Ping Wang, Dusit Niyato:
Optimal Auction For Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approach. - Takaaki Nishimoto, Yoshimasa Takabatake, Yasuo Tabei:
A compressed dynamic self-index for highly repetitive text collections. - Hanjiang Lai, Yan Pan:
Transductive Zero-Shot Hashing via Coarse-to-Fine Similarity Mining. - Jianqiao Wangni, Dahua Lin:
Learning Sparse Visual Representations with Leaky Capped Norm Regularizers. - Kasper Green Larsen:
Constructive Discrepancy Minimization with Hereditary L2 Guarantees. - Cédric Join, Emmanuel Delaleau, Michel Fliess, Claude H. Moog:
Un résultat intrigant en commande sans modèle. - Mehdi Salehi Heydar Abad, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt:
SWIPT using Hybrid ARQ over Time Varying Channels. - Antonia Creswell, Anil A. Bharath, Biswa Sengupta:
LatentPoison - Adversarial Attacks On The Latent Space. - Céline Comte, Fabien Mathieu, Thomas Bonald:
Performance of Balanced Fairness in Resource Pools: A Recursive Approach. - Kona Harshita, Sounaka Mishra, P. Renjith, N. Sadagopan:
FO and MSO approach to Some Graph Problems: Approximation and Poly time Results. - José Fuentes-Sepúlveda, Juha Kärkkäinen, Dmitry Kosolobov, Simon J. Puglisi:
Run Compressed Rank/Select for Large Alphabets. - Zhixiong Chen, Ting Gu, Andrew Klapper:
On the q-Bentness of Boolean Functions. - Alexander Panchenko, Dmitry Ustalov, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann:
Improving Hypernymy Extraction with Distributional Semantic Classes. - Arjumand Younus, Muhammad Atif Qureshi:
An Analysis of Privacy-Aware Personalization Signals by Using Online Evaluation Methods. - Federico Costantini:
MaaS and GDPR: an overview. - Tejas Kulkarni, Graham Cormode, Divesh Srivastava:
Marginal Release Under Local Differential Privacy. - Steve Blandino, Claude Desset, Cheng-Ming Chen, André Bourdoux, Sofie Pollin:
Multi-User Frequency-Selective Hybrid MIMO Demonstrated Using 60 GHz RF Modules. - Cyprien Gilet, Marie Deprez, Jean-Baptiste Caillau, Michel Barlaud:
Clustering with feature selection using alternating minimization, Application to computational biology. - W. Guan, Xiaolin Cheng, J. Huang, G. Huber, Wei Li, James Andrew McCammon, Bo Zhang:
RPYFMM: Parallel Adaptive Fast Multipole Method for Rotne-Prager-Yamakawa Tensor in Biomolecular Hydrodynamics Simulations. - Takuto Sakamoto, Hiroki Takikawa:
Cross-National Measurement of Polarization in Political Discourse: Analyzing floor debate in the U.S. and the Japanese legislatures. - Sheng Zhang, Wei-Qi Qian:
Computation of time-optimal control problem with variation evolution principle. - Richard Wei, Vikram S. Adve, Lane Schwartz:
DLVM: A modern compiler infrastructure for deep learning systems. - Ioannis Kordonis, Petros Maragos, George P. Papavassilopoulos:
Stochastic Stability in Max-Product and Max-Plus Systems with Markovian Jumps. - Biswarup Bhattacharya, Abhishek Sinha:
Intelligent Fault Analysis in Electrical Power Grids. - Russell O'Connor:
Simplicity: A New Language for Blockchains. - Francesco De Pellegrini, Rachid El Azouzi, Alonso Silva, Olfa Hassani:
Optimal Control of Storage Regeneration with Repair Codes. - Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley:
A joint separation-classification model for sound event detection of weakly labelled data. - Kristjan Kalm:
Recency-weighted Markovian inference. - Olivier Flückiger
Correctness of Speculative Optimizations with Dynamic Deoptimization. - Thomas Colcombet, Daniela Petrisan:
Automata Minimization: a Functorial Approach. - Saturnino Luz, Masood Masoodian:
An Application of Mosaic Diagrams to the Visualization of Set Relationships. - Leonid Boytsov:
A Simple Derivation of the Heap's Law from the Generalized Zipf's Law. - Ting Chen, Martin Renqiang Min, Yizhou Sun:
Learning K-way D-dimensional Discrete Code For Compact Embedding Representations. - Anirbit Mukherjee, Amitabh Basu:
Lower bounds over Boolean inputs for deep neural networks with ReLU gates. - Sepehr Assadi, MohammadHossein Bateni, Aaron Bernstein, Vahab S. Mirrokni, Cliff Stein:
Coresets Meet EDCS: Algorithms for Matching and Vertex Cover on Massive Graphs. - Jugurta Montalvão, Luiz Miranda, Jânio Coutinho Canuto:
Offline signature authenticity verification through unambiguously connected skeleton segments. - Jonathan Campbell, Clark Verbrugge:
Exploration in NetHack with Secret Discovery. - Maria-Florina Balcan, Travis Dick, Ellen Vitercik:
Private and Online Optimization of Piecewise Lipschitz Functions. - Lisa Posch, Arnim Bleier, Fabian Flöck, Markus Strohmaier:
A Cross-Country Comparison of Crowdworker Motivations. - Hao Wang, Baosen Zhang:
Energy Storage Arbitrage in Real-Time Markets Via Reinforcement Learning. - Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, William T. Freeman, Joshua B. Tenenbaum:
MarrNet: 3D Shape Reconstruction via 2.5D Sketches. - Gus Kristiansen, Xavi Gonzalvo:
EnergyNet: Energy-based Adaptive Structural Learning of Artificial Neural Network Architectures. - Clemente Rubio-Manzano, Martin Pereira-Fariña:
On the incorporation of interval-valued fuzzy sets into the Bousi-Prolog system: declarative semantics, implementation and applications. - Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha:
Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations. - Aviad Rubinstein, Tselil Schramm, S. Matthew Weinberg:
Computing exact minimum cuts without knowing the graph. - Yao-Hung Hubert Tsai, Han Zhao, Ruslan Salakhutdinov, Nebojsa Jojic:
Discovering Order in Unordered Datasets: Generative Markov Networks. - Ehud Barnea, Ohad Ben-Shahar:
Curve Reconstruction via the Global Statistics of Natural Curves. - Long Gong, Jun Xu:
R(QPS-Serena) and R(QPS-Serenade): Two Novel Augmenting-Path Based Algorithms for Computing Approximate Maximum Weight Matching. - Yang Hu, Yun Gu, Jie Yang, Guang-Zhong Yang:
Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning. - Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song:
Deep Hyperspherical Learning. - Jiaxuan Wang, Jeeheh Oh, Jenna Wiens:
Learning Credible Models. - Eugeny Burnaev, Alexander Korotin, Vladimir V'yugin:
Long-Term Sequential Prediction Using Expert Advice. - Bidan Huang, Menglong Ye, Yang Hu, Alessandro Vandini, Su-Lin Lee, Guang-Zhong Yang:
A Multi-Robot Cooperation Framework for Sewing Personalized Stent Grafts. - Fang Liu, Swapna Buccapatnam, Ness B. Shroff:
Information Directed Sampling for Stochastic Bandits with Graph Feedback. - Hamzeh Khazaei, Rajsimman Ravichandiran, Byungchul Park, Hadi Bannazadeh, Ali Tizghadam, Alberto Leon-Garcia:
Elascale: Autoscaling and Monitoring as a Service. - Daniel Saad Nogueira Nunes, Felipe A. Louza, Simon Gog, Mauricio Ayala-Rincón, Gonzalo Navarro:
A Grammar Compression Algorithm based on Induced Suffix Sorting. - Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell:
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. - Pierluigi Maponi, Riccardo Piergallini, Filippo Santarelli:
Fingerprint Orientation Refinement through Iterative Smoothing. - Adam Scibior, Ohad Kammar, Matthijs Vákár, Sam Staton, Hongseok Yang, Yufei Cai, Klaus Ostermann, Sean K. Moss, Chris Heunen, Zoubin Ghahramani:
Denotational validation of higher-order Bayesian inference. - Qizhe Xie, Guokun Lai, Zihang Dai, Eduard H. Hovy:
Large-scale Cloze Test Dataset Designed by Teachers. - Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han:
Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach. - Wanling Gao, Lei Wang, Jianfeng Zhan, Chunjie Luo, Daoyi Zheng, Zhen Jia, Biwei Xie, Chen Zheng, Qiang Yang, Haibin Wang:
A Dwarf-based Scalable Big Data Benchmarking Methodology. - Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao:
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. - Eric Mason, Birsen Yazici:
Performance Analysis of Convex LRMR based Passive SAR Imaging. - Zheng Zhou, Weiming Zhang, Zichong Yang, Nenghai Yu:
Exfiltration of Data from Air-gapped Networks via Unmodulated LED Status Indicators. - W. A. Rivera, James C. Wu:
CogSciK: Clustering for Cognitive Science Motivated Decision Making. - Osbert Bastani, Rahul Sharma, Alex Aiken, Percy Liang:
Active Learning of Points-To Specifications. - Yewen Pu, Zachery Miranda, Armando Solar-Lezama, Leslie Pack Kaelbling:
Learning to select examples for program synthesis. - Leiming Yu, Fanny Nina Paravecino, David R. Kaeli, Qianqian Fang:
Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms. - Chuankai An, A. James O'Malley, Daniel N. Rockmore, Corey D. Stock:
Analysis of the U.S. Patient Referral Network. - Bhadrachalam Chitturi, Priyanshu Das:
Distances in and Layering of a DAG. - Yao Zou, Ziyang Meng:
Coordinated trajectory tracking of multiple vertical take-off and landing UAVs. - Juling Zhang, Guowu Yang, William N. N. Hung, Jinzhao Wu:
A Canonical-based NPN Boolean Matching Algorithm Utilizing Boolean Difference and Cofactor Signature. - Xiaojie Jin, Huaxin Xiao, Xiaohui Shen, Jimei Yang, Zhe Lin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Predicting Scene Parsing and Motion Dynamics in the Future. - Siddharth Krishna, Dennis E. Shasha, Thomas Wies:
Go with the Flow: Compositional Abstractions for Concurrent Data Structures (Extended Version). - Yuxin Peng, Yunzhen Zhao, Junchao Zhang:
Two-stream Collaborative Learning with Spatial-Temporal Attention for Video Classification. - Pushparaja Murugan:
Feed Forward and Backward Run in Deep Convolution Neural Network. - Yuan Gong, Christian Poellabauer:
Crafting Adversarial Examples For Speech Paralinguistics Applications. - Wolfgang Fuhl, Thiago Santini, Enkelejda Kasneci:
Fast camera focus estimation for gaze-based focus control. - Ismail Aydogdu, Taher Abualrub:
Self-Dual Cyclic and Quantum Codes Over Z2^α x (Z2 + uZ2)^β. - Hsuan-Yin Lin, Stefan M. Moser, Po-Ning Chen:
Weak Flip Codes and their Optimality on the Binary Erasure Channel. - Buddhika Nettasinghe, Vikram Krishnamurthy:
Influence Maximization over Markovian Graphs: A Stochastic Optimization Approach. - Alexander Scheidler, Leon Thurner, Martin Braun:
Automated Distribution System Planning for Large-Scale Network Integration Studies. - Miguel Caballer, Sahdev Zala, Álvaro López García, Germán Moltó, Pablo Orviz Fernández, Mathieu Velten:
Orchestrating Complex Application Architectures in Heterogeneous Clouds. - Antoine Limasset, Jean-François Flot, Pierre Peterlongo:
Toward perfect reads. - Kazuyuki Hara:
Analysis of Dropout in Online Learning. - Weilin Fu, Katharina Breininger, Tobias Würfl, Nishant Ravikumar, Roman Schaffert, Andreas K. Maier:
Frangi-Net: A Neural Network Approach to Vessel Segmentation. - Andrew Hallam, Edward Grant, Vid Stojevic, Simone Severini, Andrew G. Green:
Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz. - Keren Censor-Hillel, Michal Dory:
Fast Distributed Approximation for TAP and 2-Edge-Connectivity. - Tianchun Wang:
Multi-Relevance Transfer Learning. - Cagri Ozcinar, Ana De Abreu, Sebastian Knorr, Aljosa Smolic:
Estimation of optimal encoding ladders for tiled 360° VR video in adaptive streaming systems. - Taolue Chen, Yan Chen, Matthew Hague, Anthony W. Lin, Zhilin Wu:
What Is Decidable about String Constraints with the ReplaceAll Function. - Antti Tölli, Seyed Pooya Shariatpanahi, Jarkko Kaleva, Babak H. Khalaj:
Multi-antenna Interference Management for Coded Caching. - Mohammad Abu-Lebdeh, Diala Naboulsi, Roch H. Glitho, Constant Wette Tchouati:
NFV Orchestrator Placement for Geo-Distributed Systems. - Weihong Li, Zhuowei Zhong, Wei-Shi Zheng:
One-pass Person Re-identification by Sketch Online Discriminant Analysis. - Ziqi Zhang, Jie Gao, Fabio Ciravegna:
SemRe-Rank: Incorporating Semantic Relatedness to Improve Automatic Term Extraction Using Personalized PageRank. - Yinpei Dai, Zhijian Ou, Dawei Ren, Pengfei Yu:
Tracking of enriched dialog states for flexible conversational information access. - Maroua Taghouti, Anil Kumar Chorppath, Tobias Waurick, Frank H. P. Fitzek:
Match Made in Heaven: Practical Compressed Sensing and Network Coding for Intelligent Distributed Communication Networks. - Pengfei Xu, Shaohuai Shi, Xiaowen Chu:
Performance Evaluation of Deep Learning Tools in Docker Containers. - Heng Guo, Chao Liao, Pinyan Lu, Chihao Zhang:
Counting hypergraph colorings in the local lemma regime. - Zhen Huang, David Lie:
SAIC: Identifying Configuration Files for System Configuration Management. - Mohsen Mahoor, Amin Khodaei:
Data Fusion and Machine Learning Integration for Transformer Loss of Life Estimation. - Cynthia Kop:
On First-order Cons-free Term Rewriting and PTIME. - Thomas Fernique:
Yet Another Proof of the Aperiodicity of Robinson Tiles. - Xiaoyi Mai, Romain Couillet:
A random matrix analysis and improvement of semi-supervised learning for large dimensional data. - HuaChun Zhang, Lynden Kagan, Chen Zheng:
Machine Learning Based Fast Power Integrity Classifier. - Cynthia Kop, Jakob Grue Simonsen:
Higher-order Cons-free Interpreters. - Brian Suffoletto, Pedram Gharani, Tammy Chung, Hassan A. Karimi:
Using Phone Sensors and an Artificial Neural Network to Detect Gait Changes During Drinking Episodes in the Natural Environment. - Cynthia Kop:
Non-deterministic Characterisations. - Roman Sorokin, Jean-Louis Rougier:
IP Video Conferencing: A Tutorial. - Cynthia Kop:
Cons-free Programming with Immutable Functions. - Oleksandra Panasiuk, Elias Kärle, Umutcan Simsek, Dieter Fensel:
Defining Tourism Domains for Semantic Annotation of Web Content. - Nicolas Troquard, Roberto Confalonieri, Pietro Galliani, Rafael Peñaloza, Daniele Porello, Oliver Kutz:
Repairing Ontologies via Axiom Weakening. - Cynthia Kop, Kristoffer Rose:
h: A Plank for Higher-order Attribute Contraction Schemes. - Osbert Bastani, Lazaro Clapp, Saswat Anand, Rahul Sharma, Alex Aiken:
Eventually Sound Points-To Analysis with Missing Code. - Baoxu Shi, Tim Weninger:
Open-World Knowledge Graph Completion. - Kai Zhong, Zhao Song, Inderjit S. Dhillon:
Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels. - Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Regret Minimization in Behaviorally-Constrained Zero-Sum Games. - Tomasz Janus, Bart de Keijzer:
On Strong Equilibria and Improvement Dynamics in Network Creation Games. - Mathias Lechner, Radu Grosu, Ramin M. Hasani:
Worm-level Control through Search-based Reinforcement Learning. - Michel Melo Silva, Washington Luis Souza Ramos, Felipe Cadar Chamone, João Pedro Klock Ferreira, Mario Fernando Montenegro Campos, Erickson Rangel do Nascimento:
Making a long story short: A Multi-Importance Semantic for Fast-Forwarding Egocentric Videos. - Paul Harris, Wael Boukley Hasan, Liang Liu, Steffen Malkowsky, Mark A. Beach, Simon Armour, Fredrik Tufvesson, Ove Edfors:
Achievable Rates and Training Overheads for a Measured LOS Massive MIMO Channel. - Eloi Zablocki, Benjamin Piwowarski
Learning Multi-Modal Word Representation Grounded in Visual Context. - Shahid Mumtaz, Kazi Mohammed Saidul Huq, Jonathan Rodriguez, Paulo Marques, Ayman Radwan, Keith Briggs, Michael Fitch, Andreas Georgakopoulos, Ioannis-Prodromos Belikaidis, Panagiotis Vlacheas, Dimitrios Kelaidonis, Evangelos A. Kosmatos, Serafim Kotrotsos, Stavroula Vassaki, Yiouli Kritikou, Panagiotis Demestichas, Kostas Tsagkaris, Evangelia Tzifa, Aikaterini Demesticha, Vera Stavroulaki, Athina Ropodi, Evangelos Argoudelis, Marinos Galiatsatos, Aristotelis Margaris, George Paitaris, Dimitrios Kardaris, Ioannis Kaffes, Haeyoung Lee, Klaus Moessner, Valerio Frascolla, Bismark Okyere, Salvador Díaz, Oscar Carrasco, Federico Miatton, Sistel Antonio, Dedomenico Benoit, Miscopein Cea, Thanasis Oikonomou, Dimitrios Kritharidis, Harald Weigold:
D3.2: SPEED-5G enhanced functional and system architecture, scenarios and performance evaluation metrics. - Marios I. Poulakis, Antonis G. Gotsis, Angeliki Alexiou:
Multi-cell Device-to-Device Communications: A Spectrum Sharing and Densification Study. - Gerrit J. J. van den Burg, Alfred O. Hero III:
Fast Meta-Learning for Adaptive Hierarchical Classifier Design. - José Gómez-Torrecillas, Gabriel Navarro, Francisco Javier Lobillo, Alessandro Neri:
Hartmann-Tzeng bound and Skew Cyclic Codes of Designed Hamming Distance. - Abdulaziz Alanazi, Hossein Lotfi, Amin Khodaei:
Coordinated AC/DC Microgrid Optimal Scheduling. - Ebenezer Esenogho, Elie Ngomseu Mambou, Hendrik C. Ferreira:
Improving the Redundancy of the Knuth Balancing Scheme for Packet Transmission Systems. - M. Salman Asif:
Toward Depth Estimation Using Mask-Based Lensless Cameras. - Hossein Lotfi, Amin Khodaei:
Co-Optimization Generation and Distribution Planning in Microgrids. - Nelson Piedra, Janneth Chicaiza, Jorge López-Vargas, Edmundo Tovar:
Discovery of potential collaboration networks from open knowledge sources. - Fang Liu, Joohyun Lee, Ness B. Shroff:
A Change-Detection based Framework for Piecewise-stationary Multi-Armed Bandit Problem. - Ganji Sreeram, Rohit Sinha:
Language Modeling for Code-Switched Data: Challenges and Approaches. - Akshay Sethi, Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani:
DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers. - Keiller Nogueira, Samuel G. Fadel, Ícaro C. Dourado, Rafael de Oliveira Werneck, Javier A. V. Muñoz, Otávio A. B. Penatti, Rodrigo Tripodi Calumby, Lin Tzy Li, Jefersson A. dos Santos, Ricardo da Silva Torres:
Exploiting ConvNet Diversity for Flooding Identification. - Riccardo Coppola, Maurizio Morisio, Marco Torchiano:
Scripted GUI Testing of Android Apps: A Study on Diffusion, Evolution and Fragility. - Vittorio Bilò, Francesco Cellinese, Giovanna Melideo, Gianpiero Monaco:
On Colorful Bin Packing Games. - Chuyu Xiong:
What Really is Deep Learning Doing? - Suwanviwatana Kananat, Hiroyuki Iida:
First Results from Using Game Refinement Measure and Learning Coefficient in Scrabble. - Denis Osipov, Kai Sun:
Adaptive Nonlinear Model Reduction for Fast Power System Simulation. - Babak Mamandipoor, Amin Arbabian, Upamanyu Madhow:
Geometry-constrained Degrees of Freedom Analysis for Imaging Systems: Monostatic and Multistatic. - Annabelle McIver, Carroll Morgan, Benjamin Lucien Kaminski, Joost-Pieter Katoen:
A New Proof Rule for Almost-Sure Termination. - Migran N. Gevorkyan, Anastasiya V. Demidova, Robert Adam Sobolewski, Ivan S. Zaryadov, Anna V. Korolkova, Dmitry S. Kulyabov, Leonid A. Sevastianov:
Approaches to Stochastic Modeling of Wind Turbines. - Martin Kronbichler, Katharina Kormann:
Fast matrix-free evaluation of discontinuous Galerkin finite element operators. - Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran:
Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates. - Anqi Fu, Manuel Mazo Jr.:
Traffic Models of Periodic Event-Triggered Control Systems. - Woojin Chung, Samuel R. Bowman:
The Lifted Matrix-Space Model for Semantic Composition. - Ali Bakhshi, Heidar Ali Talebi, Amir Abolfazl Suratgar, M. Abdeetedal:
Stability and Transparency Analysis of a Bilateral Teleoperation in Presence of Data Loss. - Alireza Majzoobi, Mohsen Mahoor, Amin Khodaei:
Distribution market as a ramping aggregator for grid flexibility support. - Phuc C. Nguyen, Thomas Gilray, Sam Tobin-Hochstadt, David Van Horn:
Soft Contract Verification for Higher-Order Stateful Programs. - Diego Kreutz
ANCHOR: logically-centralized security for Software-Defined Networks. - Thodoris Lykouris, Karthik Sridharan, Éva Tardos:
Small-loss bounds for online learning with partial information. - Xueqing Deng, Shawn D. Newsam:
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use. - Se Eun Oh, Saikrishna Sunkam, Nicholas Hopper:
Traffic Analysis with Deep Learning. - Long Chen, Jigang Wu, Xinxiang Zhang:
TARCO: Two-Stage Auction for D2D Relay Aided Computation Resource Allocation in Hetnet. - Zhenheng Yang, Peng Wang, Wei Xu, Liang Zhao, Ramakant Nevatia:
Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency. - Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy
Breast density classification with deep convolutional neural networks. - Patrick M. Pilarski, Richard S. Sutton, Kory W. Mathewson, Craig Sherstan, Adam S. R. Parker, Ann L. Edwards:
Communicative Capital for Prosthetic Agents. - Shao Huang, Weiqiang Wang, Shengfeng He, Rynson W. H. Lau:
Egocentric Hand Detection Via Dynamic Region Growing. - Michael Janner, Jiajun Wu, Tejas D. Kulkarni, Ilker Yildirim, Joshua B. Tenenbaum:
Self-Supervised Intrinsic Image Decomposition. - Jinsong Hu, Khurram Shahzad, Shihao Yan, Xiangyun Zhou, Feng Shu, Jun Li:
Covert Communications with A Full-Duplex Receiver over Wireless Fading Channels. - Sameen Maruf, Gholamreza Haffari:
Document Context Neural Machine Translation with Memory Networks. - Taku Kato, Takahiro Shinozaki:
Reinforcement Learning of Speech Recognition System Based on Policy Gradient and Hypothesis Selection. - Junting Zhang, Liang Chen, C.-C. Jay Kuo:
A Fully Convolutional Tri-branch Network (FCTN) for Domain Adaptation. - Weiyan Wang, Yuxiang Wu, Yu Zhang, Zhongqi Lu, Kaixiang Mo, Qiang Yang:
Integrating User and Agent Models: A Deep Task-Oriented Dialogue System. - Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi:
Online Deep Learning: Learning Deep Neural Networks on the Fly. - Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody
Learning under p-Tampering Attacks. - Daniel S. Berger, Nathan Beckmann, Mor Harchol-Balter:
Practical Bounds on Optimal Caching with Variable Object Sizes. - Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon:
Quantized Memory-Augmented Neural Networks. - Baruch Mor, Dana Shapira:
Scheduling with regular performance measures and optional job rejection on a single machine. - Prakhar Gupta, Shubh Gupta, Ajaykrishnan Jayagopal, Sourav Pal, Ritwik Sinha:
Saliency Prediction for Mobile User Interfaces. - Masoud Fatemi, Mehran Safayani:
Joint Sentiment/Topic Modeling on Text Data Using Boosted Restricted Boltzmann Machine. - Daniele Porello:
Judgment aggregation in non-classical logics. - Daniele Porello:
Logics for modelling collective attitudes. - Francisco Javier Lobillo, Luis Merino, Gabriel Navarro, Evangelina Santos:
Lattice embeddings between types of fuzzy sets. Closed-valued fuzzy sets. - Todor Mihaylov, Zornitsa Kozareva, Anette Frank:
Neural Skill Transfer from Supervised Language Tasks to Reading Comprehension. - Jie Yang, Yue Zhang:
YEDDA: A Lightweight Collaborative Text Span Annotation Tool. - Meysam Masoudi, Cicek Cavdar:
Cloud vs Edge Computing for Mobile Services: Delay-aware Decision Making to Minimize Energy Consumption. - Fred Phillips:
The Sad State of Entrepreneurship in America: What Educators Can Do About It. - Joaquim Borges, Steven T. Dougherty, Cristina Fernández-Córdoba, Roger Ten-Valls:
ℤ2ℤ4-Additive Cyclic Codes: Kernel and Rank. - Ali Gholami Rudi:
Time-Windowed Contiguous Hotspot Queries. - Qianqian Yang, Deniz Gündüz:
Centralized Coded Caching of Correlated Contents. - Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Object Referring in Visual Scene with Spoken Language. - Andreas Weinand, Abhijit K. Ambekar, Michael Karrenbauer, Hans D. Schotten:
Providing Physical Layer Security for Mission Critical Machine Type Communication. - Christos Tolis, George F. Fragulis:
An experimental mechatronic design and control of a 5 DOF Robotic arm for identification and sorting of different sized objects. - Shan Luo, João Bimbo, Ravinder Dahiya, Hongbin Liu:
Robotic Tactile Perception of Object Properties: A Review. - Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé:
Learning with Options that Terminate Off-Policy. - Abhinav Sinha, Rishemjit Kaur, Ritesh Kumar, Amol P. Bhondekar:
Cooperative control of multi-agent systems to locate source of an odor. - Nicolò Navarin, Beatrice Vincenzi, Mirko Polato, Alessandro Sperduti:
LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances. - Luca Bortolussi, Roberta Lanciani, Laura Nenzi:
Model Checking Markov Population Models by Stochastic Approximations. - Peter Faymonville, Bernd Finkbeiner, Maximilian Schwenger, Hazem Torfah:
Real-time Stream-based Monitoring. - Sha Hu, Xuhong Li, Fredrik Rusek:
On Time-of-Arrival Estimation in NB-IoT Systems. - Niki Vazou, Anish Tondwalkar, Vikraman Choudhury, Ryan G. Scott, Ryan R. Newton, Philip Wadler, Ranjit Jhala:
Refinement Reflection: Complete Verification with SMT. - Brett W. Israelsen, Nisar R. Ahmed:
"Dave...I can assure you...that it's going to be all right..." - A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships. - Diego Mollá:
Towards the Use of Deep Reinforcement Learning with Global Policy For Query-based Extractive Summarisation. - Albert Atserias, Martin Grohe, Dániel Marx:
Size bounds and query plans for relational joins. - Daniel Patterson, Jamie Perconti, Christos Dimoulas, Amal Ahmed:
FunTAL: Reasonably Mixing a Functional Language with Assembly. - Grigorios Kalliatakis, Anca Sticlaru, George Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier:
Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-World Training Data? - Alexander Rabinovich:
A Proof of Stavi's Theorem. - Daniel Lokshtanov, Dániel Marx:
Clustering with Local Restrictions. - Dániel Marx:
Completely inapproximable monotone and antimonotone parameterized problems. - Daniel Graf, Karim Labib, Przemyslaw Uznanski:
Hamming distance completeness and sparse matrix multiplication. - Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations. - Konstantinos Bougiatiotis, Theodore Giannakopoulos:
Enhanced Movie Content Similarity Based on Textual, Auditory and Visual Information. - Tomás Teijeiro, Constantino A. García, Daniel Castro, Paulo Félix:
Arrhythmia Classification from the Abductive Interpretation of Short Single-Lead ECG Records. - Andrei A. Krokhin, Dániel Marx:
On the hardness of losing weight. - Radek Husek, Lucie Mohelníková, Robert Sámal:
Group Connectivity: Z4 v. Z22. - Patrick M. Wensing, Günter Niemeyer, Jean-Jacques E. Slotine:
Observability in Inertial Parameter Identification. - Tarek R. Besold, Artur S. d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro M. Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luís C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha:
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. - Amr Al-Anwar, Henrique Ferraz, Kevin Hsieh, Rohit Thazhath, Paul Martin, João Pedro Hespanha, Mani B. Srivastava:
D-SLATS: Distributed Simultaneous Localization and Time Synchronization. - Vishesh Karwa, Salil P. Vadhan:
Finite Sample Differentially Private Confidence Intervals. - Zhao Chen, Liuguo Yin, Jianhua Lu:
LDPC-Based Code Hopping for Gaussian Wiretap Channel With Limited Feedback. - Akond Rahman, Amritanshu Agrawal, Rahul Krishna, Alexander Sobran, Tim Menzies:
Continuous Integration: The Silver Bullet? - Shehar Bano, Alberto Sonnino, Mustafa Al-Bassam, Sarah Azouvi, Patrick McCorry, Sarah Meiklejohn, George Danezis:
Consensus in the Age of Blockchains. - Zhouyuan Huo, Bin Gu, Heng Huang:
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization. - Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun:
CARLA: An Open Urban Driving Simulator. - Nitish K. Panigrahy, Jian Li, Faheem Zafari, Don Towsley, Paul L. Yu:
What, When and Where to Cache: A Unified Optimization Approach. - Geng Ji, Robert Bamler
Bayesian Paragraph Vectors. - Michael R. Smith, Joe B. Ingram, Christopher C. Lamb, Timothy J. Draelos, Justin E. Doak, James B. Aimone, Conrad D. James:
Dynamic Analysis of Executables to Detect and Characterize Malware. - Palash Dey:
Manipulative Elicitation - A New Attack on Elections with Incomplete Preferences. - Luc N. Trudeau, Nathan E. Egge, David Barr:
Predicting Chroma from Luma in AV1. - Rasmus Dahlberg, Tobias Pulls:
Verifiable Light-Weight Monitoring for Certificate Transparency Logs. - Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen:
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. - Redouane Lguensat, Miao Sun, Ronan Fablet, Evan Mason, Pierre Tandeo, Ge Chen:
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. - Sandeep Singh Sandha:
StreetX: Spatio-Temporal Access Control Model for Data. - Stefano Buzzi, Carmen D'Andrea:
Energy Efficiency and Asymptotic Performance Evaluation of Beamforming Structures in Doubly Massive MIMO mmWave Systems. - Eunice David Likotiko, Devotha Godfrey Nyambo, Joseph Mwangoka:
Multi-agent based IoT smart waste monitoring and collection architecture. - Mufti Mahmud, M. Shamim Kaiser, Amir Hussain, Stefano Vassanelli:
Applications of Deep Learning and Reinforcement Learning to Biological Data. - Pan Hu, Boris Motik, Ian Horrocks:
Optimised Maintenance of Datalog Materialisations. - Andréa Nascimento, Rute C. Sofia, Tiago Condeixa, Susana Sargento:
A Characterization of Mobility Management in User-centric Networks. - Debayan Deb, Neeta Nain, Anil K. Jain:
Longitudinal Study of Child Face Recognition. - Michael A. Raskin:
A superpolynomial lower bound for the size of non-deterministic complement of an unambiguous automaton. - Navid Yaghmazadeh, Xinyu Wang, Isil Dillig:
Automated Migration of Hierarchical Data to Relational Tables using Programming-by-Example. - Alessandro Ronca, Mark Kaminski, Bernardo Cuenca Grau, Boris Motik, Ian Horrocks:
Stream Reasoning in Temporal Datalog. - Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer:
Deep Within-Class Covariance Analysis for Acoustic Scene Classification. - Jove Jankulovski, Pece Mitrevski:
Cloud Computing and Content Management Systems: A Case Study in Macedonian Education. - Oran Sharon, Yaron Alpert:
Optimizing TCP Goodput and Delay in next generation IEEE 802.11 (ax) devices. - Zhen Huang, David Lie:
Ocasta: Clustering Configuration Settings For Error Recovery. - Daniel Lopez Martinez, Ognjen Rudovic, Rosalind W. Picard:
Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning. - Shushman Choudhury, Oren Salzman, Sanjiban Choudhury, Christopher M. Dellin, Siddhartha S. Srinivasa:
Anytime Motion Planning on Large Dense Roadmaps with Expensive Edge Evaluations. - Sahil Garg, Aram Galstyan, Irina Rish, Guillermo A. Cecchi, Shuyang Gao:
Efficient Representation for Natural Language Processing via Kernelized Hashcodes. - Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu:
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition. - Haoyu Ren, Mostafa El-Khamy, Jungwon Lee:
CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution. - Vasileios Nakos:
One-Bit ExpanderSketch for One-Bit Compressed Sensing. - Stefan Hinterstoisser, Vincent Lepetit, Naresh Rajkumar, Kurt Konolige:
Going Further with Point Pair Features. - Luca De Feo:
Mathematics of Isogeny Based Cryptography. - Ramkumar Natarajan, Siddharthan Rajasekaran, Jonathan D. Taylor:
Towards Planning and Control of Hybrid Systems with Limit Cycle using LQR Trees. - Benjamin Plaut, Tim Roughgarden:
Communication Complexity of Discrete Fair Division. - Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li, Sameena Shah, Robert Martin, John Duprey:
Reuters Tracer: Toward Automated News Production Using Large Scale Social Media Data. - Christian S. Perone:
Towards ECDSA key derivation from deep embeddings for novel Blockchain applications. - Liwei Cai, William Yang Wang:
KBGAN: Adversarial Learning for Knowledge Graph Embeddings. - Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing:
Towards Automated ICD Coding Using Deep Learning. - Saeid Tizpaz-Niari, Pavol Cerný, Bor-Yuh Evan Chang, Ashutosh Trivedi:
Differential Performance Debugging with Discriminant Regression Trees. - Kaixiang Mo, Yu Zhang, Qiang Yang, Pascale Fung:
Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems. - Xianda Zhou, William Yang Wang:
MojiTalk: Generating Emotional Responses at Scale. - Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen:
Generalized Neural Graph Embedding with Matrix Factorization. - Wu Zhao, Zhiyong Chen, Kuikui Li, Bin Xia:
Artificial Interference Aided Physical Layer Security in Cache-enabled Heterogeneous Networks. - Buddhika Laknath Semage
Recommender Systems with Random Walks: A Survey. - Charvi Rastogi, Animesh Kumar:
Mobile Sensing of Two-Dimensional Bandlimited Fields on Random Paths. - Mitodru Niyogi, Asim K. Pal:
Discovering conversational topics and emotions associated with Demonetization tweets in India. - Ning Zhang, Junchi Yan, Yu Chen Zhou:
Unsupervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning. - Pouya Badri, Mahdi Sojoodi:
Stability and Stabilization of Fractional-order Systems with Different Derivative Orders: An LMI Approach. - Uiwon Hwang, Sungwoon Choi, Sungroh Yoon:
Disease Prediction from Electronic Health Records Using Generative Adversarial Networks. - Andreas Benzin, Giuseppe Caire, Yonatan Shadmi, Antonia M. Tulino:
Truncated Polynomial Expansion Downlink Precoders and Uplink Detectors for Massive MIMO. - Xiangyu Zhu, Yingying Jiang, Shuli Yang, Xiaobing Wang, Wei Li, Pei Fu, Hua Wang, Zhenbo Luo:
Deep Residual Text Detection Network for Scene Text. - Marek Klonowski, Dominik Pajak:
Broadcast in radio networks: time vs. energy tradeoffs. - Supriya Pandhre, Himangi Mittal, Manish Gupta, Vineeth N. Balasubramanian:
STWalk: Learning Trajectory Representations in Temporal Graphs. - Anna Potapenko, Artem Popov, Konstantin V. Vorontsov:
Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks. - Jiagang Zhu, Wei Zou, Zheng Zhu, Lin Li:
End-to-end Video-level Representation Learning for Action Recognition. - Wenting Ye, Xiang Liu, Haohan Wang, Eric P. Xing:
A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction. - Chundi Liu, Shunan Zhao, Maksims Volkovs:
Learning Document Embeddings With CNNs. - Siqi Bao, Pei Wang, Tony C. W. Mok, Albert C. S. Chung:
3D Randomized Connection Network with Graph-based Label Inference. - Anthony Kim, Sung Hyun Chen, Chen Zheng:
Depth First Always On Routing Trace Algorithm. - David P. Chassin, Sahand Behboodi, Ned Djilali:
Optimal Subhourly Electricity Resource Dispatch Under Multiple Price Signals With High Renewable Generation Availability. - Akram Aldroubi, Keaton Hamm, Ahmet Bugra Koku, Ali Sekmen:
CUR Decompositions, Similarity Matrices, and Subspace Clustering. - Malgorzata Moczurad, Piotr Zgliczynski:
Real-number Computability from the Perspective of Computer Assisted Proofs in Analysis. - Hossein Lolaee, Mohammad Ali Akhaee:
Analytic Model for Network Resource Management between ISPs and Users. - Amadeu Silveira Campanelli, Florindo Silote Neto, Fernando Silva Parreiras:
Assessing Agile Transformation Success Factors. - Ricardo M. Oliveira, Flavio B. Gonzaga, Valmir C. Barbosa, Geraldo Bonorino Xexéo:
A distributed system for SearchOnMath based on the Microsoft BizSpark program. - Baochang Zhang, Shangzhen Luan, Chen Chen, Jungong Han, Wei Wang, Alessandro Perina, Ling Shao:
Latent Constrained Correlation Filter. - Christos Mousas:
Full-Body Locomotion Reconstruction of Virtual Characters Using a Single IMU. - Nikolaus Kriegeskorte, Robert M. Mok:
Building machines that adapt and compute like brains. - Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu:
Commonsense LocatedNear Relation Extraction. - Sungwoo Park, Robert W. Heath Jr.:
Spatial Channel Covariance Estimation for the Hybrid MIMO Architecture: A Compressive Sensing Based Approach. - Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe:
Practical Scalability for Stackelberg Security Games. - (Withdrawn) Convergence of Hierarchical Clustering and Persistent Homology Methods on Directed Networks.
- Albert Cheu, Ravi Sundaram, Jonathan R. Ullman:
Skyline Identification in Multi-Armed Bandits. - Amirhossein Tavanaei, Anthony S. Maida:
BP-STDP: Approximating Backpropagation using Spike Timing Dependent Plasticity. - Stanley J. Rosenschein, Todd Davies:
Coordination Technology for Active Support Networks: Context, Needfinding, and Design. - Zhanzhan Cheng, Xuyang Liu, Fan Bai, Yi Niu, Shiliang Pu, Shuigeng Zhou:
Arbitrarily-Oriented Text Recognition. - (Withdrawn) Syntax-Directed Attention for Neural Machine Translation.
- Shiqi Yang, Gang Peng:
D-PCN: Parallel Convolutional Neural Networks for Image Recognition in Reverse Adversarial Style. - Pengfei Yang, Biao Chen:
Robust Kullback-Leibler Divergence and Universal Hypothesis Testing for Continuous Distributions. - Rob J. van Glabbeek:
Ensuring Liveness Properties of Distributed Systems (A Research Agenda). - Ju Chen, Yuzhe Richard Tang, Hao Zhou:
Strongly Secure and Efficient Data Shuffle On Hardware Enclaves. - Reza Abbasi-Asl, Aboozar Ghaffari, Emad Fatemizadeh:
Robust Image Registration via Empirical Mode Decomposition. - Yunsung Kim:
Linking Sequences of Events with Sparse or No Common Occurrence across Data Sets. - Sheng Zhang, Yuliang Liu, Lianwen Jin, Canjie Luo:
Feature Enhancement Network: A Refined Scene Text Detector. - Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu:
Unified Spectral Clustering with Optimal Graph. - Francesco Leofante, Erika Ábrahám, Tim Niemueller, Gerhard Lakemeyer, Armando Tacchella:
On the Synthesis of Guaranteed-Quality Plans for Robot Fleets in Logistics Scenarios via Optimization Modulo Theories. - Yucao Tang, Guillaume-Alexandre Bilodeau:
Evaluation of trackers for Pan-Tilt-Zoom Scenarios. - Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Diana Inkpen, Si Wei:
Natural Language Inference with External Knowledge. - Youchen Du, Shenglan Liu, Lin Feng, Menghui Chen, Jie Wu:
Hand Gesture Recognition with Leap Motion. - Chenyun Pan, Azad Naeemi:
Beyond-CMOS Device Benchmarking for Boolean and Non-Boolean Logic Applications. - Yuanhong Wang, Yuyi Wang, Xingwu Liu, Juhua Pu:
On the ERM Principle with Networked Data. - Hamed Jelodar, Yongli Wang, Chi Yuan, Xia Feng:
Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey. - Joshua S. Gans:
Self-Regulating Artificial General Intelligence. - Shing Chan, Ahmed H. Elsheikh:
A machine learning approach for efficient uncertainty quantification using multiscale methods. - Mahmoud Afifi:
Gender recognition and biometric identification using a large dataset of hand images. - Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
High-Order Attention Models for Visual Question Answering. - Takuya Akiba, Shuji Suzuki, Keisuke Fukuda:
Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes. - Amin Saied:
An efficient algorithm computing composition factors of T(V)⊗n. - Shiyue Zhang, Pengtao Xie, Dong Wang, Eric P. Xing:
Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning. - Felix Wu, Ni Lao, John Blitzer, Guandao Yang, Kilian Q. Weinberger:
Fast Reading Comprehension with ConvNets. - Sayan Bhattacharya, Deeparnab Chakrabarty, Monika Henzinger, Danupon Nanongkai:
Dynamic Algorithms for Graph Coloring. - Arnaud Dessein, Nicolas Papadakis, Charles-Alban Deledalle:
Parameter Estimation in Finite Mixture Models by Regularized Optimal Transport: A Unified Framework for Hard and Soft Clustering. - Elena Grigorescu, Erfan Sadeqi Azer, Samson Zhou:
Longest Alignment with Edits in Data Streams. - Jihun Hamm:
Machine vs Machine: Defending Classifiers Against Learning-based Adversarial Attacks. - Yundi Wu, Jie Xu, Ling Qiu, Rui Zhang:
Capacity of UAV-Enabled Multicast Channel: Joint Trajectory Design and Power Allocation. - Chunqi Wang, Bo Xu:
Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation. - Jackson Abascal, Shir Maimon:
A Refutation of Guinea's "Understanding SAT is in P". - Guohao Zhang, Alexander P. Auchus, Peter V. Kochunov, Niklas Elmqvist, Jian Chen:
Overlaying Quantitative Measurement on Networks: An Evaluation of Three Positioning and Nine Visual Marker Techniques. - Raimondas Sasnauskas, Yang Chen, Peter Collingbourne, Jeroen Ketema, Jubi Taneja, John Regehr:
Souper: A Synthesizing Superoptimizer. - Jinjie Zhang, Lek-Heng Lim:
Grothendieck constant is norm of Strassen matrix multiplication tensor. - Lu Zhang, Miaojing Shi, Qiaobo Chen:
Crowd counting via scale-adaptive convolutional neural network. - Ziqiang Cao, Furu Wei, Wenjie Li, Sujian Li:
Faithful to the Original: Fact Aware Neural Abstractive Summarization. - Xiaojun Xu, Chang Liu, Dawn Song:
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning. - Brendan Juba, Zongyi Li, Evan Miller:
Learning Abduction under Partial Observability. - Chengwen Xing, Yindi Jing, Shuai Wang, Jiaheng Wang, Jianping An:
A General Framework for Covariance Matrix Optimization in MIMO Systems. - Yoshihide Sawada
All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification. - Jianyu Wang, Zhishuai Zhang, Cihang Xie, Yuyin Zhou, Vittal Premachandran, Jun Zhu, Lingxi Xie, Alan L. Yuille:
Visual Concepts and Compositional Voting. - Jennifer Edmond, Georgina Nugent Folan:
Digitising Cultural Complexity: Representing Rich Cultural Data in a Big Data environment. - Saeid Soheily-Khah, Pierre-François Marteau:
Sparsification of the Alignment Path Search Space in Dynamic Time Warping. - Yining Wang, Long Zhou, Jiajun Zhang, Chengqing Zong:
Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT. - (Withdrawn) Multilayer Nonlinear Processing for Information Privacy in Sensor Networks.
- Diptarka Chakraborty
Tight Cell Probe Bounds for Succinct Boolean Matrix-Vector Multiplication. - Wim Vanderbauwhede, Gavin Davidson:
Domain-Specific Acceleration and Auto-Parallelization of Legacy Scientific Code in FORTRAN 77 using Source-to-Source Compilation. - Herman J. Haverkort:
Sixteen space-filling curves and traversals for d-dimensional cubes and simplices. - Maël Le Treust, Tristan Tomala:
Persuasion with limited communication resources. - Taegyun Kwon, Dasaem Jeong, Juhan Nam:
Audio-to-score alignment of piano music using RNN-based automatic music transcription. - Xiaolei Shen, Jiachi Zhang, Chenjun Yan, Hong Zhou:
An Automatic Diagnosis Method of Facial Acne Vulgaris Based on Convolutional Neural Network. - Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao:
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation. - Kolos Csaba Ágoston, Péter Biró, Richárd Szántó:
Stable project allocation under distributional constraints. - Yang Yang, Marius Pesavento:
A Parallel Best-Response Algorithm with Exact Line Search for Nonconvex Sparsity-Regularized Rank Minimization. - Maël Le Treust, Tristan Tomala:
Information Design for Strategic Coordination of Autonomous Devices with Non-Aligned Utilities. - Boris Klemz, Günter Rote:
Linear-Time Algorithms for Maximum-Weight Induced Matchings and Minimum Chain Covers in Convex Bipartite Graphs. - Yong Zhang, Hongming Zhou, Nganmeng Tan, Saeed Bagheri, Meng Joo Er:
Targeted Advertising Based on Browsing History. - Kyong Jae Park, Sungmi Park, Joshua I. James:
A Case Study of the 2016 Korean Cyber Command Compromise. - Nikolay Akatyev, Joshua I. James:
United Nations Digital Blue Helmets as a Starting Point for Cyber Peacekeeping. - Aris Filos-Ratsikas, Paul W. Goldberg:
Consensus Halving is PPA-Complete. - Martin Grohe, Dániel Marx:
Constraint Solving via Fractional Edge Covers. - Sung Jin Cho:
COMBINE: a novel drug discovery platform designed to capture insight and experience of users. - Marius Stärk, Damian Backes, Christian Kehl:
A Supervised Learning Concept for Reducing User Interaction in Passenger Cars. - Till Fluschnik, Piotr Skowron, Mervin Triphaus, Kai Wilker:
Fair Knapsack. - Tom Mens, Bram Adams, Josianne Marsan:
Towards an interdisciplinary, socio-technical analysis of software ecosystem health. - Andreas Behrend, Sahar Vahdati, Christoph Lange, Christiane Engels:
Towards a Cloud-Based Service for Maintaining and Analyzing Data About Scientific Events. - Libor Bukata, Premysl Sucha, Zdenek Hanzálek:
Solving the Resource Constrained Project Scheduling Problem Using the Parallel Tabu Search Designed for the CUDA Platform. - Daniel Patterson, Amal Ahmed:
Linking Types for Multi-Language Software: Have Your Cake and Eat It Too. - Richard Evans, Edward Grefenstette:
Learning Explanatory Rules from Noisy Data. - Nikolaos Alexopoulos, Jörg Daubert, Max Mühlhäuser, Sheikh Mahbub Habib:
Beyond the Hype: On Using Blockchains in Trust Management for Authentication. - Jan Egger, Christopher Nimsky, Xiaojun Chen:
Vertebral body segmentation with GrowCut: Initial experience, workflow and practical application. - Heli Sun, Zhou Yang, Jianbin Huang, Xiaolin Jia, Ziyu Guan, Zhongmeng Zhao:
Efficient Destination Prediction Based on Route Choices with Transition Matrix Optimization. - Mohit Rajpal, William Blum, Rishabh Singh:
Not all bytes are equal: Neural byte sieve for fuzzing. - Boris Knyazev, Roman Shvetsov, Natalia Efremova, Artem Kuharenko:
Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video. - Eva-Maria C. Hols, Stefan Kratsch:
Smaller parameters for vertex cover kernelization. - Yichen Huang:
Provably efficient neural network representation for image classification. - Renato Fabbri, Fabiane M. Borges:
Text Mining Descriptions Of Dreams: aesthetic and clinical efforts. - Hossein Khayami, Taraneh Eghlidos, Mohammad Reza Aref:
A Joint Encryption-Encoding Scheme Using QC-LDPC Codes Based on Finite Geometry. - Renato Fabbri:
The Algorithmic-Autoregulation (AA) Methodology and Software: a collective focus on self-transparency. - Qimei Cui, Yu Gu, Wei Ni, Xuefei Zhang, Xiaofeng Tao, Ping Zhang, Ren Ping Liu:
Preserving Reliability to Heterogeneous Ultra-Dense Distributed Networks in Unlicensed Spectrum. - Jason Dou:
Impartial redistricting: a Markov chain approach to the "Gerrymandering problem". - Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey:
Three Factors Influencing Minima in SGD. - Seyedeh Samira Saadatmand:
The effect of website attributes and mental involvement online impulse purchases. - Ibrahim Ighneiwa, Hussamedin Mohamed:
Bypass Fraud Detection: Artificial Intelligence Approach. - Samiya Khan, Mansaf Alam:
On Designing a Generic Framework for Cloud-based Big Data Analytics. - Olivia Guest, Frank J. Kanayet, Bradley C. Love:
Gerrymandering and Computational Redistricting. - Kantour Nedjmeeddine, Bouroubi Sadek:
Cryptanalysis of Merkle-Hellman cipher using parallel genetic algorithm. - Zheng Zhu, Guan Huang, Wei Zou, Dalong Du, Chang Huang:
UCT: Learning Unified Convolutional Networks for Real-time Visual Tracking. - Mahtab Mirmohseni, Mohammad Ali Maddah-Ali:
Private Function Retrieval. - Hossein Rastgoftar, Ella M. Atkins:
Continuum Deformation of a Multiple Quadcopter Payload Delivery Team without Inter-Agent Communication. - Stephan Baier, Sigurd Spieckermann, Volker Tresp:
Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks. - Stephan Baier, Volker Tresp:
Tensor Decompositions for Modeling Inverse Dynamics. - Brandon Reagen, Udit Gupta, Robert Adolf, Michael M. Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David M. Brooks:
Weightless: Lossy Weight Encoding For Deep Neural Network Compression. - Rudy Arthur, Chris A. Boulton, Humphrey Shotton, Hywel T. P. Williams:
Social Sensing of Floods in the UK. - Dmitry V. Luciv
Detecting Near Duplicates in Software Documentation. - Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, Vipin Kumar:
Machine Learning for the Geosciences: Challenges and Opportunities. - Adán Sánchez de Pedro Crespo
Stampery Blockchain Timestamping Architecture (BTA) - Version 6. - Gowtham Atluri, Anuj Karpatne, Vipin Kumar:
Spatio-Temporal Data Mining: A Survey of Problems and Methods. - Moritz B. Milde
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation. - Vinay A. Vaishampayan:
Towards a Converse for the Nearest Lattice Point Problem. - Peng Fu:
A Type Checking Algorithm for Higher-rank, Impredicative and Second-order Types. - Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma:
Neural Attentive Session-based Recommendation. - Yehuda Afek, Shaked Rafaeli, Moshe Sulamy:
Cheating by Duplication: Equilibrium Requires Global Knowledge. - Keith Carlson, Allen Riddell, Daniel N. Rockmore:
Zero-Shot Style Transfer in Text Using Recurrent Neural Networks. - Jeffrey Pennington, Samuel S. Schoenholz, Surya Ganguli:
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice. - Mark Bun, Jelani Nelson, Uri Stemmer:
Heavy Hitters and the Structure of Local Privacy. - Adenilton José da Silva, Rodolfo Luan Franco de Oliveira:
Neural Networks Architecture Evaluation in a Quantum Computer. - David Grangier, Michael Auli:
QuickEdit: Editing Text & Translations via Simple Delete Actions. - Monowar Hasan, Sibin Mohan, Rodolfo Pellizzoni, Rakesh B. Bobba:
A Design-Space Exploration for Allocating Security Tasks in Multicore Real-Time Systems. - Philippe Schwaller, Théophile Gaudin, David Lanyi, Costas Bekas, Teodoro Laino:
"Found in Translation": Predicting Outcomes of Complex Organic Chemistry Reactions using Neural Sequence-to-Sequence Models. - Shashank Sripad, Sekar Kulandaivel, Vikram Pande, Vyas Sekar, Venkatasubramanian Viswanathan:
Vulnerabilities of Electric Vehicle Battery Packs to Cyberattacks on Auxiliary Components. - Lei Lin, John C. Handley, Adel W. Sadek:
Reliability and Sharpness in Border Crossing Traffic Interval Prediction. - Alexander B. Tibbs, Ilse M. Daly, Nicholas W. Roberts, David R. Bull:
Denoising Imaging Polarimetry by an Adapted BM3D Method. - Ruairidh M. Battleday, Joshua C. Peterson, Thomas L. Griffiths:
Modeling Human Categorization of Natural Images Using Deep Feature Representations. - Fotini Fotopoulou, Spiros Oikonomou, A. Papathanasiou, George Economou, Spiros Fotopoulos:
3D Shape Classification Using Collaborative Representation based Projections. - Pan Peng, Christian Sohler:
Estimating Graph Parameters from Random Order Streams. - Tanmay Inamdar, Kasturi R. Varadarajan:
On Partial Covering For Geometric Set Systems. - Peter A. Boyle, Michael Chuvelev, Guido Cossu, Christopher Kelly, Christoph Lehner, Lawrence Meadows:
Accelerating HPC codes on Intel(R) Omni-Path Architecture networks: From particle physics to Machine Learning. - Mohammad Soltani, Abhyudai Singh:
Linear piecewise-deterministic Markov processes with families of random discrete events. - Petar D. Bojovic, Zivko Bojovic, Dragana Bajic, Vojin Senk:
IP Session continuity in heterogeneous mobile networks using Software Defined Networking. - Jing Han, Lingling Zhang, QunFei Zhang, Geert Leus:
Eigendecomposition-Based Partial FFT Demodulation for Differential OFDM in Underwater Acoustic Communications. - Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng:
Sobolev GAN. - Eun-Jin Kim, Ismail Movahedi:
Effect of enhanced dissipation by shear flows on transient relaxation and probability density function in two dimensions. - Carlos Pena-Caballero, Elifaleth Cantu, Jesus Rodriguez, Adolfo Gonzales, Osvaldo Castellanos, Angel A. Cantu, Megan Strait, Jae Son, Dongchul Kim:
Automatic Target Recognition of Aircraft using Inverse Synthetic Aperture Radar. - Kai Zhou, Jian Ren:
PassBio: Privacy-Preserving User-Centric Biometric Authentication. - Michihiro Yasunaga, Jungo Kasai, Dragomir R. Radev:
Robust Multilingual Part-of-Speech Tagging via Adversarial Training. - Vinay Chakravarthi Gogineni, Subrahmanyam Mula:
Constrained Least Mean Logarithmic Square Algorithm: Design and Performance Analysis. - Amina Asif, Wajid Arshad Abbasi, Farzeen Munir, Asa Ben-Hur, Fayyaz ul Amir Afsar Minhas:
pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications. - Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin:
Adversarial Symmetric Variational Autoencoder. - Yan Ke, Minqing Zhang, Jia Liu, Tingting Su:
Generative Steganography with Kerckhoffs' Principle based on Generative Adversarial Networks. - Parag Shridhar Chandakkar, Baoxin Li:
Capturing Localized Image Artifacts through a CNN-based Hyper-image Representation. - Dat Quoc Nguyen, Thanh Vu, Dai Quoc Nguyen, Mark Dras, Mark Johnson:
From Word Segmentation to POS Tagging for Vietnamese. - Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato:
Classical Structured Prediction Losses for Sequence to Sequence Learning. - Yichong Xu, Jingjing Liu, Jianfeng Gao, Yelong Shen, Xiaodong Liu:
Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies. - Navid Ghadermarzy, Yaniv Plan, Özgür Yilmaz:
Near-optimal sample complexity for convex tensor completion. - Rema Ananthanarayanan, Pranay Kr. Lohia, Srikanta Bedathur:
DataVizard: Recommending Visual Presentations for Structured Data. - Pratima Biswas, Ashok Singh Sairam:
Modeling and Performance Comparison of Privacy Approaches for Location Based Services. - Goonwanth Reddy, Rahul Vaze:
Robust Online Speed Scaling With Deadline Uncertainty. - Yi Tay, Minh C. Phan, Luu Anh Tuan, Siu Cheung Hui:
SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring. - Daniel Fried, Jacob Andreas, Dan Klein:
Unified Pragmatic Models for Generating and Following Instructions. - Morad Behandish, Zheng-Yi Wu:
Concurrent Pump Scheduling and Storage Level Optimization Using Meta-Models and Evolutionary Algorithms. - Xingkang He, Wenchao Xue, Haitao Fang:
Consistent distributed state estimation with global observability over sensor network. - Mikael Henaff, Junbo Jake Zhao, Yann LeCun:
Prediction Under Uncertainty with Error-Encoding Networks. - Xingkang He, Chen Hu, Yiguang Hong, Ling Shi, Haitao Fang:
Distributed Kalman Filters with State Equality Constraints: Time-based and Event-triggered Communications. - Morad Behandish, Horea T. Ilies:
Peg-in-Hole Revisited: A Generic Force Model for Haptic Assembly. - Morad Behandish, Horea T. Ilies:
Haptic Assembly Using Skeletal Densities and Fourier Transforms. - Stefan Wagner, Jan Jürjens, Claudia Koller, Peter Trischberger:
Comparing Bug Finding Tools with Reviews and Tests. - Rahul Vaze, Shreyas Chaudhari, Akshat Choube, Nitin Aggarwal:
Energy-Delay-Distortion Problem. - Akram Hakiri, Pascal Berthou, Aniruddha S. Gokhale, Slim Abdellatif:
Publish/subscribe-enabled software defined networking for efficient and scalable IoT communications. - Judy Hoffman, Mehryar Mohri, Ningshan Zhang:
Multiple-Source Adaptation for Regression Problems. - Jianping An, Kai Yang, Jinsong Wu, Neng Ye, Song Guo, Zhifang Liao:
Achieve Sustainable Ultra-Dense Heterogeneous Networks for 5G. - Hong-Min Chu, Kuan-Hao Huang, Hsuan-Tien Lin:
Dynamic Principal Projection for Cost-Sensitive Online Multi-Label Classification. - Jianpeng Cheng, Siva Reddy, Vijay A. Saraswat, Mirella Lapata:
Learning an Executable Neural Semantic Parser. - Peng-Bo Zhang, Zhixin Yang:
Robust Matrix Elastic Net based Canonical Correlation Analysis: An Effective Algorithm for Multi-View Unsupervised Learning. - Wei He, Kai Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang:
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications. - Karl Tuyls, Julien Pérolat, Marc Lanctot, Georg Ostrovski, Rahul Savani
Symmetric Decomposition of Asymmetric Games. - Morad Behandish, Horea T. Ilies:
Analytic Methods for Geometric Modeling via Spherical Decomposition. - Bogdan Oancea, Richard Pospisil, Raluca Mariana Dragoescu:
The return to higher education: evidence from Romania. - Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Krishnasuri Narayanam, Shalabh Bhatnagar:
A unified decision making framework for supply and demand management in microgrid networks. - Maria Siniaalto, Pekka Abrahamsson:
A Comparative Case Study on the Impact of Test-Driven Development on Program Design and Test Coverage. - Gongze Cao, Yezhou Yang, Jie Lei, Cheng Jin, Yang Liu, Mingli Song:
TripletGAN: Training Generative Model with Triplet Loss. - Andreas Weinand, Michael Karrenbauer, Raja Sattiraju, Hans D. Schotten:
Application of Machine Learning for Channel based Message Authentication in Mission Critical Machine Type Communication. - Thomas Guyet, Yves Moinard, René Quiniou, Torsten Schaub:
Efficiency Analysis of ASP Encodings for Sequential Pattern Mining Tasks. - Michal Debski, Zbigniew Lonc, Pawel Rzazewski:
Sequences of radius k for complete bipartite graphs. - Barton E. Lee:
How long is a piece of string? An exploration of multi-winner approval voting and ballot-length restrictions. - Martin Pergel, Pawel Rzazewski:
On edge intersection graphs of paths with 2 bends. - Athanasios Lagopoulos, Grigorios Tsoumakas, Georgios Papadopoulos:
Web Robot Detection in Academic Publishing. - Maxwell L. Hutchinson, Erin Antono, Brenna M. Gibbons, Sean Paradiso, Julia Ling, Bryce Meredig:
Overcoming data scarcity with transfer learning. - Ilya Loshchilov, Frank Hutter:
Fixing Weight Decay Regularization in Adam. - Gisele Helena Barboni Miranda, Jeaneth Machicao, Odemir M. Bruno:
An optimized shape descriptor based on structural properties of networks. - Mehdi Sadeqi, Robert C. Holte, Sandra Zilles:
An Empirical Study of the Effects of Spurious Transitions on Abstraction-based Heuristics. - (Withdrawn) A Hierarchical Contextual Attention-based GRU Network for Sequential Recommendation.
- Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell:
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. - Eduardo Aguilar, Beatriz Remeseiro
Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants. - Julian Bueno, Sheler Maktoobi, Luc Froehly, Ingo Fischer, Maxime Jacquot, Laurent Larger, Daniel Brunner:
Reinforcement Learning in a large scale photonic Recurrent Neural Network. - Zhuo Feng:
Similarity-Aware Spectral Sparsification by Edge Filtering. - Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein:
Deep Rewiring: Training very sparse deep networks. - Amelie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy:
XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings. - Michael J. Kearns, Seth Neel, Aaron Roth, Zhiwei Steven Wu:
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness. - Yehuda Dar, Michael Elad, Alfred M. Bruckstein:
Restoration by Compression. - Lars Jaffke, O-joung Kwon, Jan Arne Telle:
A note on the complexity of Feedback Vertex Set parameterized by mim-width. - Mathys Rennela, Sam Staton:
Classical Control, Quantum Circuits and Linear Logic in Enriched Category Theory. - Sean Welleck, Jialin Mao, Kyunghyun Cho, Zheng Zhang:
Saliency-based Sequential Image Attention with Multiset Prediction. - Haomin Liu, Chen Li, Guojun Chen, Guofeng Zhang, Michael Kaess, Hujun Bao:
Robust Keyframe-based Dense SLAM with an RGB-D Camera. - Hamideh Hajiabadi, Diego Mollá Aliod, Reza Monsefi:
On Extending Neural Networks with Loss Ensembles for Text Classification. - Antonia Creswell, Anil A. Bharath, Biswa Sengupta:
Conditional Autoencoders with Adversarial Information Factorization. - Anca Dumitrache, Lora Aroyo, Chris Welty:
False Positive and Cross-relation Signals in Distant Supervision Data. - Mingfei Gao, Ruichi Yu, Ang Li, Vlad I. Morariu, Larry S. Davis:
Dynamic Zoom-in Network for Fast Object Detection in Large Images. - Ehsan Hesamifard, Hassan Takabi, Mehdi Ghasemi:
CryptoDL: Deep Neural Networks over Encrypted Data. - Shai Ben-David, Pavel Hrubes, Shay Moran, Amir Shpilka, Amir Yehudayoff:
A learning problem that is independent of the set theory ZFC axioms. - Madhumita Sushil, Simon Suster, Kim Luyckx
Unsupervised patient representations from clinical notes with interpretable classification decisions. - Georg Gottlob, Gianluigi Greco, Francesco Scarcello:
Tree Projections and Constraint Optimization Problems: Fixed-Parameter Tractability and Parallel Algorithms. - Angela Fan, David Grangier, Michael Auli:
Controllable Abstractive Summarization. - Imtiaz Parvez, Tanwir Khan, Arif I. Sarwat
LAA LTE and WiFi based Smart Grid Metering Infrastructure in 3.5 GHz Band. - Fan Liu, Longfei Zhou, Christos Masouros, Ang Li, Wu Luo, Athina P. Petropulu:
Towards Dual-functional Radar-Communication Systems: Optimal Waveform Design. - Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Yi Ding, Aarti Bagul, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng:
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. - Tianfu Wu, Xilai Li, Xi Song, Wei Sun, Liang Dong, Bo Li:
Interpretable R-CNN. - Michael Benedikt, Boris Motik, Efthymia Tsamoura:
Goal-Driven Query Answering for Existential Rules with Equality. - Manash Kumar Mandal, Pinku Deb Nath, Arpeeta Shams Mizan, Nazmus Saquib:
A visual search engine for Bangladeshi laws. - Pierre Hanna:
Considering Durations and Replays to Improve Music Recommender Systems. - Omer Goldman, Veronica Latcinnik, Udi Naveh, Amir Globerson, Jonathan Berant:
Weakly-supervised Semantic Parsing with Abstract Examples. - Maryam Abdul-Wahid, Firas Almoualem, Deepak Kumar, Ravi Tandon:
Private Information Retrieval from Storage Constrained Databases - Coded Caching meets PIR. - Sean Welleck, Zixin Yao, Yu Gai, Jialin Mao, Zheng Zhang, Kyunghyun Cho:
Loss Functions for Multiset Prediction. - Serhii Nazarovets
War and Peace: The Peculiarities of Ukrainian-Russian Scientific Cooperation Dynamics Against the Background of Russian Military Aggression in Ukraine, in 2014-2016. - Anusha Nagabandi, Guangzhao Yang, Thomas Asmar, Gregory Kahn, Sergey Levine, Ronald S. Fearing:
Neural Network Dynamics Models for Control of Under-actuated Legged Millirobots. - Qianli Ma, Lifeng Shen
Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework. - Aricca Bannerman, James Emington, Anil Venkatesh:
Optimal Tuning of Two-Dimensional Keyboards. - Mingfei Gao, Ang Li, Ruichi Yu, Vlad I. Morariu, Larry S. Davis:
C-WSL: Count-guided Weakly Supervised Localization. - Satwik Patnaik, Mohammed Ashraf, Johann Knechtel, Ozgur Sinanoglu:
Obfuscating the Interconnects: Low-Cost and Resilient Full-Chip Layout Camouflaging. - Shoaib Jameel, Zied Bouraoui, Steven Schockaert:
Modeling Semantic Relatedness using Global Relation Vectors. - Thomas F. J.-M. Pasquier, Xueyuan Han, Mark Goldstein, Thomas Moyer, David M. Eyers, Margo I. Seltzer, Jean Bacon:
Practical Whole-System Provenance Capture. - Rishab Nithyanand, Brian Schaffner, Phillipa Gill:
Online Political Discourse in the Trump Era. - Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi:
Simulating Action Dynamics with Neural Process Networks. - A. M. Soboliev, Dmytro V. Lande:
Ranking of nodes of networks taking into account the power function of its weight of connections. - Pragna Das, Lluís Ribas-Xirgo:
Adaptive Cost Coefficient Identification for Planning Optimal Operation in Mobile Robot based Internal Transportation. - Luca Furieri, Maryam Kamgarpour:
The Value of Communication in Synthesizing Controllers given an Information Structure. - Yunxi Guo, Timothy Dee, Akhilesh Tyagi:
Barrel Shifter Physical Unclonable Function Based Encryption. - Stanislav Levin, Amiram Yehudai:
Boosting Automatic Commit Classification Into Maintenance Activities By Utilizing Source Code Changes. - Sunil Kumar Yadav, Ulrich Reitebuch, Konrad Polthier:
Robust and High Fidelity Mesh Denoising. - Yu-An Chung, Hung-yi Lee, James R. Glass:
Supervised and Unsupervised Transfer Learning for Question Answering. - Tomás Krajník, Filip Majer, Lucie Halodova, Jan Bayer, Tomas Vintr, Jan Faigl:
Navigation without localisation: reliable teach and repeat based on the convergence theorem. - Chen Zheng, Shuangfei Zhai, Zhongfei Zhang:
A Deep Learning Approach for Expert Identification in Question Answering Communities. - William E. Leeb, Vladimir Rokhlin:
On the Numerical Solution of Fourth-Order Linear Two-Point Boundary Value Problems. - Min-Oh Jung, Seonho Kim, Song-Nam Hong:
Rate-Compatible Punctured Polar (RCPP) Codes Based On Hierarchical Puncturing. - Sajid Ahmed, Farshid Rayhan, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman:
LIUBoost : Locality Informed Underboosting for Imbalanced Data Classification. - Douglas Brinkerhoff, Shad O'Neel:
Velocity variations at Columbia Glacier captured by particle filtering of oblique time-lapse images. - Bao Zhao, Xinyi Le, Juntong Xi:
A Novel SDASS Descriptor for Fully Encoding the Information of 3D Local Surface. - Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann:
Sliced Wasserstein Distance for Learning Gaussian Mixture Models. - Floris Erich, Masakazu Hirokawa, Kenji Suzuki:
A Systematic Literature Review of Experiments in Socially Assistive Robotics using Humanoid Robots. - Shaohui Kuang, Junhui Li, Deyi Xiong:
Bridging Source and Target Word Embeddings for Neural Machine Translation. - Tianpei Xie, Sijia Liu, Alfred O. Hero III:
Semiblind subgraph reconstruction in Gaussian graphical models. - Lixin Fan:
Deep Epitome for Unravelling Generalized Hamming Network: A Fuzzy Logic Interpretation of Deep Learning. - Srinivas Ravishankar, Chandrahas, Partha Pratim Talukdar:
Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs. - Huseyin A. Inan, Peter Kairouz, Ayfer Özgür:
Sparse Combinatorial Group Testing for Low-Energy Massive Random Access. - Bin-Bin Gao, Jian-Jun Wang:
A Fast and Robust TSVM for Pattern Classification. - Yining Chen, Sorcha Gilroy, Kevin Knight, Jonathan May:
Recurrent Neural Networks as Weighted Language Recognizers. - Shayan Zamanirad, Boualem Benatallah, Moshe Chai Barukh, Fabio Casati, Carlos Rodríguez:
Programming Bots by Synthesizing Natural Language Expressions into API Invocations. - Dianmu Zhang, Blake Hannaford:
IKBT: solving closed-form Inverse Kinematics with Behavior Tree. - Taihong Xiao, Jiapeng Hong, Jinwen Ma:
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images. - Binh Van Nguyen, Hyoyoung Jung, Kiseon Kim:
On the Anti-Jamming Performance of the NR-DCSK System. - Binh Van Nguyen, Hyoyoung Jung, Kiseon Kim:
Physical Layer Security Schemes for Full-Duplex Cooperative Systems: State of the Art and Beyond. - Alok Singh, Mai H. Nguyen, Shweta Purawat, Daniel Crawl, Ilkay Altintas:
Modular Resource Centric Learning for Workflow Performance Prediction. - Yongliang Tang, Weiguo Gong, Xi Chen, Weihong Li:
Deep Inception-Residual Laplacian Pyramid Networks for Accurate Single Image Super-Resolution. - Yu-Ping Ruan, Qian Chen, Zhen-Hua Ling:
A Sequential Neural Encoder with Latent Structured Description for Modeling Sentences. - Takuma Ebisu, Ryutaro Ichise:
TorusE: Knowledge Graph Embedding on a Lie Group. - Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes:
CTRL+Z: Recovering Anonymized Social Graphs. - Miao Zhang, Xiaofei Kang, Yanqing Wang, Lantian Li, Zhiyuan Tang, Haisheng Dai, Dong Wang:
Human and Machine Speaker Recognition Based on Short Trivial Events. - Nuri Murat Arar, Jean-Philippe Thiran:
Robust Real-Time Multi-View Eye Tracking. - Younggun Lee, Azam Rabiee, Soo-Young Lee:
Emotional End-to-End Neural Speech Synthesizer. - Hossein Soleimani, Raúl Parada, Stefano Tomasin, Michele Zorzi:
Statistical Approaches for Initial Access in mmWave 5G Systems. - Sansei Hori, Yutaro Ishida, Yuta Kiyama, Yuichiro Tanaka, Yuki Kuroda, Masataka Hisano, Yuto Imamura, Tomotaka Himaki, Yuma Yoshimoto, Yoshiya Aratani, Kouhei Hashimoto, Gouki Iwamoto, Hiroto Fujita, Takashi Morie, Hakaru Tamukoh:
Hibikino-Musashi@Home 2017 Team Description Paper. - Thomas Mosgaard Giselsson, Rasmus Nyholm Jørgensen, Peter Kryger Jensen, Mads Dyrmann, Henrik Skov Midtiby:
A Public Image Database for Benchmark of Plant Seedling Classification Algorithms. - Caleb Robinson, Bistra Dilkina:
A Machine Learning Approach to Modeling Human Migration. - Steven Du, Xi Zhang:
Aicyber's System for NLPCC 2017 Shared Task 2: Voting of Baselines. - Johannes Bjerva, Isabelle Augenstein:
Tracking Typological Traits of Uralic Languages in Distributed Language Representations. - Mohsen Ghaffari, Fabian Kuhn, Yannic Maus, Jara Uitto:
Deterministic Distributed Edge-Coloring with Fewer Colors. - Ehud Barnea, Ohad Ben-Shahar:
On the Utility of Context (or the Lack Thereof) for Object Detection. - Elmar Jürgens, Florian Deissenboeck, Martin Feilkas, Benjamin Hummel, Bernhard Schätz, Stefan Wagner, Christoph Domann, Jonathan Streit:
Can clone detection support quality assessments of requirements specifications? - Yannic Kilcher, Thomas Hofmann:
The best defense is a good offense: Countering black box attacks by predicting slightly wrong labels. - Balasubramanyam Appina, Jalli Akshith, Battula Shanmukh Srinivas, Sumohana S. Channappayya:
No Reference Stereoscopic Video Quality Assessment Using Joint Motion and Depth Statistics. - Dhruv Mahajan, Vivek Gupta, S. Sathiya Keerthi, Sundararajan Sellamanickam, Shravan Narayanamurthy, Rahul Kidambi:
Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles. - Athena Elafrou, Georgios I. Goumas, Nectarios Koziris:
Performance Analysis and Optimization of Sparse Matrix-Vector Multiplication on Modern Multi- and Many-Core Processors. - Géraldin Nanfack, Azeddine Elhassouny, Rachid Oulad Haj Thami:
Squeeze-SegNet: A new fast Deep Convolutional Neural Network for Semantic Segmentation. - Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi:
Rumor Source Detection under Querying with Untruthful Answers. - Bram Westerbaan, Bas Westerbaan, Rutger Kuyper, Carst Tankink, Remy Viehoff, Henk Barendregt:
Statman's Hierarchy Theorem. - Patrick Rodler, Wolfgang Schmid, Konstantin Schekotihin:
A Generally Applicable, Highly Scalable Measurement Computation and Optimization Approach to Sequential Model-Based Diagnosis. - Jan Konecny:
Note on Representing attribute reduction and concepts in concepts lattice using graphs. - Jacopo Acquarelli, Elena Marchiori, Lutgarde M. C. Buydens, Thanh N. Tran, Twan van Laarhoven:
Convolutional Neural Networks and Data Augmentation for Spectral-Spatial Classification of Hyperspectral Images. - Shaonan Wang, Jiajun Zhang, Nan Lin, Chengqing Zong:
Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics. - Dawand Sulaiman, Adam Barker:
MAMoC: Multisite Adaptive Offloading Framework for Mobile Cloud Applications. - HanQin Cai, Jian-Feng Cai, Ke Wei:
Accelerated Alternating Projections for Robust Principal Component Analysis. - Reza Kahani, Alireza Talebpour, Ahmad Mahmoudi Aznaveh:
A Correlation Based Feature Representation for First-Person Activity Recognition. - Zhedong Zheng, Liang Zheng, Michael Garrett, Yi Yang, Yi-Dong Shen:
Dual-Path Convolutional Image-Text Embedding. - Christian Kahmann, Andreas Niekler, Gerhard Heyer:
Detecting and assessing contextual change in diachronic text documents using context volatility. - Stuart Armstrong:
Good and safe uses of AI Oracles. - Ying Hua Tan, Chee Seng Chan:
Phrase-based Image Captioning with Hierarchical LSTM Model. - Zheqian Chen, Rongqin Yang, Zhou Zhao, Deng Cai, Xiaofei He:
Dialogue Act Recognition via CRF-Attentive Structured Network. - Ahmed Elkelesh, Sebastian Cammerer, Moustafa Ebada, Stephan ten Brink:
Mitigating Clipping Effects on Error Floors under Belief Propagation Decoding of Polar Codes. - Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine:
PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. - Romain Jacob, Licong Zhang, Marco Zimmerling, Jan Beutel, Samarjit Chakraborty, Lothar Thiele:
TTW: A Time-Triggered-Wireless Design for CPS [ Extended version ]. - Mark Marsden, Kevin McGuinness, Suzanne Little, Ciara E. Keogh, Noel E. O'Connor:
People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting. - Cheng Zhang, Judith Bütepage, Hedvig Kjellström, Stephan Mandt:
Advances in Variational Inference. - Hosein Azarbonyad, Mostafa Dehghani, Kaspar Beelen, Alexandra Arkut, Maarten Marx, Jaap Kamps:
Words are Malleable: Computing Semantic Shifts in Political and Media Discourse. - Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba:
Interpreting Deep Visual Representations via Network Dissection. - Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy:
Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time. - Senjian An, Farid Boussaïd, Mohammed Bennamoun, Ferdous Ahmed Sohel:
Exploiting Layerwise Convexity of Rectifier Networks with Sign Constrained Weights. - Orianna Demasi, Benjamin Recht:
An example of how false conclusions could be made with personalized health tracking and suggestions for avoiding similar situations. - Samuel Coogan, Murat Arcak:
Contraction-based Observers using non-Euclidean Norms with an Application to Traffic Networks. - Jakub Nikonowicz, Aamir Mahmood, Emiliano Sisinni, Mikael Gidlund:
Quantitative Benchmarks and New Directions for Noise Power Estimation Methods in ISM Radio Environment. - Giovanni Vincenti, J. Scott Hilberg, James Braman, Michael Satzinger, Lily Cao:
Assessing the Usability of a Novel System for Programming Education. - Unai Fernández-Plazaola, Laureano Moreno-Pozas, Francisco Javier López-Martínez, José F. Paris, Eduardo Martos-Naya, Juan M. Romero-Jerez:
A Tractable Product Channel Model for Line-of-Sight Scenarios. - Daniel Dadush, Sophie Huiberts:
A Friendly Smoothed Analysis of the Simplex Method. - Anna Concas, Caterina Fenu, Giuseppe Rodriguez:
PQSER: A Matlab package for spectral seriation. - Syed Sarfaraz Akhtar, Arihant Gupta, Avijit Vajpayee, Arjit Srivastava, Manish Shrivastava:
Unsupervised Morphological Expansion of Small Datasets for Improving Word Embeddings. - Syed Sarfaraz Akhtar, Arihant Gupta, Avijit Vajpayee, Arjit Srivastava, Madan Gopal Jhawar, Manish Shrivastava:
An Unsupervised Approach for Mapping between Vector Spaces. - A. A. Alves Jr.
Hydra: a C++11 framework for data analysis in massively parallel platforms. - Petar D. Bojovic, Slavko Gajin:
An approach to evaluation of common DNS misconfigurations. - Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang:
Motif-based Convolutional Neural Network on Graphs. - Eugene Goldberg, Matthias Güdemann, Daniel Kroening, Rajdeep Mukherjee:
Efficient Verification of Multi-Property Designs (The Benefit of Wrong Assumptions) (Extended Version). - Xu Han, Roland Kwitt, Stephen R. Aylward, Bjoern H. Menze, Alexander Asturias, Paul M. Vespa, John D. Van Horn, Marc Niethammer:
Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach. - Ehud Barnea, Ohad Ben-Shahar:
Contextual Object Detection with a Few Relevant Neighbors. - Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das:
CSWA: Aggregation-Free Spatial-Temporal Community Sensing. - (Withdrawn) BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems.
- Majid Salehi, Morteza Amini:
Android Malware Detection using Markov Chain Model of Application Behaviors in Requesting System Services. - John Wieting, Kevin Gimpel:
Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations. - Francesco Conti, Lukas Cavigelli, Gianna Paulin, Igor Susmelj, Luca Benini:
Chipmunk: A Systolically Scalable 0.9 mm2, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference. - Guo-Zheng Sun, C. Lee Giles, Hsing-Hen Chen, Yee-Chun Lee:
The Neural Network Pushdown Automaton: Model, Stack and Learning Simulations. - Chris Donahue, Bo Li, Rohit Prabhavalkar:
Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition. - Hossein Esfandiari, Nitish Korula, Vahab S. Mirrokni:
Online Allocation with Traffic Spikes: Mixing Adversarial and Stochastic Models. - Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer:
Fast Predictive Simple Geodesic Regression. - Avinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam:
Predicting vehicular travel times by modeling heterogeneous influences between arterial roads. - Arun Mallya, Svetlana Lazebnik:
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning. - Jesse H. Engel, Matthew D. Hoffman, Adam Roberts:
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models. - Li Shen:
End-to-end Training for Whole Image Breast Cancer Diagnosis using An All Convolutional Design. - Tommy Sandbank, Michal Shmueli-Scheuer, David Konopnicki, Jonathan Herzig, John T. Richards, David Piorkowski:
Detecting Egregious Conversations between Customers and Virtual Agents. - Jeevana Priya Inala, Rishabh Singh:
WebRelate: Integrating Web Data with Spreadsheets using Examples. - Xiaocheng Li, Huaiyang Zhong, Margaret L. Brandeau:
Quantile Markov Decision Process. - Yuan Yang, Jingcheng Yu, Ye Hu, Xiaoyao Xu, Eric Nyberg:
CMU LiveMedQA at TREC 2017 LiveQA: A Consumer Health Question Answering System. - Umang Bhatt:
Maintaining The Humanity of Our Models. - Yukun Chen, Jianbo Ye, Jia Li:
Aggregated Wasserstein Metric and State Registration for Hidden Markov Models. - Shikhar Murty, Patrick Verga, Luke Vilnis, Andrew McCallum:
Finer Grained Entity Typing with TypeNet. - Ankush Khandelwal, Anuj Karpatne, Vipin Kumar:
ORBIT: Ordering Based Information Transfer Across Space and Time for Global Surface Water Monitoring. - Guowei Wan, Xiaolong Yang, Renlan Cai, Hao Li, Hao Wang, Shiyu Song:
Robust and Precise Vehicle Localization based on Multi-sensor Fusion in Diverse City Scenes. - Huaiyang Zhong, Xiaocheng Li, David B. Lobell, Stefano Ermon, Margaret L. Brandeau:
Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans. - Allen P. Hazen, Francis Jeffry Pelletier:
K3, L3, LP, RM3, A3, FDE: How to Make Many-Valued Logics Work for You. - Bita Behrouzi, Douglas Tweed:
Lagrange policy gradient. - Yanjie Dong, Md. Jahangir Hossain, Julian Cheng, Victor C. M. Leung:
Fronthaul-Aware Group Sparse Precoding and Signal Splitting in SWIPT C-RAN. - Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin:
Zero-Shot Learning via Class-Conditioned Deep Generative Models. - Jiangen He, Chaomei Chen:
Understanding the Changing Roles of Scientific Publications via Citation Embeddings. - Robert Buttigieg, Mario Farrugia, Clyde Meli
Security Issues in Controller Area Networks in Automobiles. - Rhicheek Patra, Egor Samosvat, Michael Roizner, Andrei Mishchenko:
BoostJet: Towards Combining Statistical Aggregates with Neural Embeddings for Recommendations. - W. Timothy J. White, Marcus Ludwig, Sebastian Böcker:
Cograph Editing in O(3nn) time and O(2n) space. - Xilai Li, Tianfu Wu, Xi Song, Hamid Krim:
AOGNets: Deep AND-OR Grammar Networks for Visual Recognition. - Olga Dergachyova, Xavier Morandi, Pierre Jannin:
Knowledge transfer for surgical activity prediction. - Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alexander J. Smola, Andrew McCallum:
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. - Asit K. Mishra, Debbie Marr:
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy. - Fei Bi, Lijun Chang, Xuemin Lin, Wenjie Zhang:
An Optimal and Progressive Approach to Online Search of Top-k Important Communities. - Shima Kamyab, Zohreh Azimifar:
End-to-end 3D shape inverse rendering of different classes of objects from a single input image. - SungMin Rhee, Seokjun Seo, Sun Kim:
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification. - Yufeng Hao:
A General Neural Network Hardware Architecture on FPGA. - Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen:
Modal Regression based Atomic Representation for Robust Face Recognition. - Andreas Kölsch, Muhammad Zeshan Afzal, Markus Ebbecke, Marcus Liwicki:
Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines. - John Stechschulte, Christoffer Heckman:
Hidden Markov Random Field Iterative Closest Point. - Sourya Dey:
Pricing Football Players using Neural Networks. - Leonardo B. L. Santos, Aurelienne A. S. Jorge, Marcio Rossato, Jessica D. Santos, Onofre A. Candido, Wilson Seron, Charles N. de Santana:
(geo)graphs - Complex Networks as a shapefile of nodes and a shapefile of edges for different applications. - Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer:
Crowdsourcing Question-Answer Meaning Representations. - Richard Jayadi Oentaryo, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim, Philips Kokoh Prasetyo:
On Analyzing Job Hop Behavior and Talent Flow Networks. - Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Wei Xu:
Occlusion Aware Unsupervised Learning of Optical Flow. - Daniel M. Kane, Roi Livni, Shay Moran, Amir Yehudayoff:
On Communication Complexity of Classification Problems. - Dhanya Sridhar, Jay Pujara, Lise Getoor:
Using Noisy Extractions to Discover Causal Knowledge. - Yijia Wang, Yan Wan, Zhijian Wang:
Using experimental game theory to transit human values to ethical AI. - Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, Larry S. Davis:
NISP: Pruning Networks using Neuron Importance Score Propagation. - Ning Cai, Chen Diao, Bo-Han Yan, Jin-Hu Liu:
Social Computing Based Analysis on Monogamous Marriage Puzzle of Human. - Chunhui Li, Shihao Yan, Nan Yang:
On Channel Reciprocity to Activate Uplink Channel Training for Downlink Data Transmission. - Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon:
How Generative Adversarial Nets and its variants Work: An Overview of GAN. - Simin Xu, Nan Yang, Shihao Yan:
Optimal Load Balancing in Millimeter Wave Cellular Heterogeneous Networks. - Amir Rosenfeld, Mahdi Biparva, John K. Tsotsos:
Priming Neural Networks. - Chamara Saroj Weerasekera, Ravi Garg, Ian D. Reid:
Learning Deeply Supervised Visual Descriptors for Dense Monocular Reconstruction. - Datong P. Zhou, Claire J. Tomlin:
Budget-Constrained Multi-Armed Bandits with Multiple Plays. - Naveed Akhtar, Jian Liu, Ajmal S. Mian:
Defense against Universal Adversarial Perturbations. - Andreas Weichslgartner, Stefan Wildermann, Deepak Gangadharan, Michael Glaß, Jürgen Teich:
A Design-Time/Run-Time Application Mapping Methodology for Predictable Execution Time in MPSoCs. - Yujia Liu, Weiming Zhang, Shaohua Li, Nenghai Yu:
Enhanced Attacks on Defensively Distilled Deep Neural Networks. - Zehui Xiong, Yang Zhang, Dusit Niyato, Ping Wang, Zhu Han:
When Mobile Blockchain Meets Edge Computing: Challenges and Applications. - Jian Liu, Naveed Akhtar, Ajmal Mian:
Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition. - Syed Zulqarnain Gilani, Ajmal Mian:
Learning from Millions of 3D Scans for Large-scale 3D Face Recognition. - Sri Raghu Malireddi, Franziska Mueller, Markus Oberweger, Abhishake Kumar Bojja, Vincent Lepetit, Christian Theobalt, Andrea Tagliasacchi:
HandSeg: A Dataset for Hand Segmentation from Depth Images. - Mingtao Feng, Syed Zulqarnain Gilani, Yaonan Wang, Ajmal S. Mian:
3D Face Reconstruction from Light Field Images: A Model-free Approach. - Qingyi Tao, Hao Yang, Jianfei Cai:
Zero-Annotation Object Detection with Web Knowledge Transfer. - Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim:
Less-forgetful Learning for Domain Expansion in Deep Neural Networks. - Leilani Battle, Peitong Duan, Zachery Miranda, Dana Mukusheva, Remco Chang, Michael Stonebraker:
Beagle: Automated Extraction and Interpretation of Visualizations from the Web. - Seyed Pooya Shariatpanahi, Giuseppe Caire, Babak Hossein Khalaj:
Physical-Layer Schemes for Wireless Coded Caching. - Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua:
Learning to Find Good Correspondences. - Shaohuai Shi, Xiaowen Chu:
Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs. - Mikhail Goykhman:
On evolutionary selection of blackjack strategies. - Borja Balle, Prakash Panangaden, Doina Precup:
Singular value automata and approximate minimization. - Ian D. Peake, Jan Olaf Blech, Shyam Nath, Jacob Jacky Aharon, Argyll McGhie:
Towards a Cloud-based Architecture for Visualization and Augmented Reality to Support Collaboration in Manufacturing Automation. - Shunta Saito, Tommi Kerola, Satoshi Tsutsui:
Superpixel clustering with deep features for unsupervised road segmentation. - Ganesh Chennimala Sankaran, Pachava Srinivas, Balaji Srinivasan, Krishna M. Sivalingam:
Empirical model for combinatorial data center network switch design. - Christophe Van Gysel:
Remedies against the Vocabulary Gap in Information Retrieval. - Paulo E. Rauber, Filipe Mutz, Jürgen Schmidhuber:
Hindsight policy gradients. - Gautam Pai, Ronen Talmon, Ron Kimmel:
Parametric Manifold Learning Via Sparse Multidimensional Scaling. - Károly J. Böröczky, Alexey A. Glazyrin:
Stability of optimal spherical codes. - Hazem Sallouha, Mohammad Mahdi Azari, Alessandro Chiumento, Sofie Pollin:
Aerial Anchors Positioning for Reliable RSS-Based Outdoor Localization in Urban Environments. - Deng Cai, Xiuye Gu, Chaoqi Wang:
A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval. - Guo-Jun Qi, Liheng Zhang, Hao Hu:
Global versus Localized Generative Adversarial Nets. - Simon Apers, Alain Sarlette, Francesco Ticozzi:
Bounding the convergence time of local probabilistic evolution. - Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales:
Learning to Compare: Relation Network for Few-Shot Learning. - Haris Aziz, Barton E. Lee:
Sub-committee Approval Voting and Generalised Justified Representation Axioms. - Wentong Liao, Shuai Lin, Bodo Rosenhahn, Michael Ying Yang:
Natural Language Guided Visual Relationship Detection. - Martijn van Otterlo:
From Algorithmic Black Boxes to Adaptive White Boxes: Declarative Decision-Theoretic Ethical Programs as Codes of Ethics. - Binanda Sengupta, Sushmita Ruj:
Cloud Data Auditing Using Proofs of Retrievability. - Nhu-Ngoc Dao, Trung V. Phan, Umar Sa'ad, Joongheon Kim, Thomas Bauschert, Sungrae Cho:
Securing Heterogeneous IoT with Intelligent DDoS Attack Behavior Learning. - Joost R. van Amersfoort, Wenzhe Shi, Alejandro Acosta, Francisco Massa, Johannes Totz, Zehan Wang, Jose Caballero:
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks. - Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales:
Deep Matching Autoencoders. - Jianshu Li, Shengtao Xiao, Fang Zhao, Jian Zhao, Jianan Li, Jiashi Feng, Shuicheng Yan, Terence Sim:
Integrated Face Analytics Networks through Cross-Dataset Hybrid Training. - Ruichu Cai, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang, Zijian Li:
An Encoder-Decoder Framework Translating Natural Language to Database Queries. - Chenhuang Wu, Chunxiang Xu, Zhixiong Chen, Pinhui Ke:
On error linear complexity of new generalized cyclotomic binary sequences of period p2. - Thomas Colcombet, Daniela Petrisan:
Automata in the Category of Glued Vector Spaces. - Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball:
The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks. - Gustavo Gonzalez Granadillo, Joaquín García-Alfaro, Hervé Debar:
An n-sided polygonal model to calculate the impact of cyber security events. - Yochai Blau, Tomer Michaeli:
The Perception-Distortion Tradeoff. - Dan Ma, Bin Liu, Zhao Kang, Jianke Zhu, Zenglin Xu:
Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs. - Yehia Abd Alrahman, Rocco De Nicola, Michele Loreti:
Programming the Interactions of Collective Adaptive Systems by Relying on Attribute-based Communication. - Evgeny A. Stepanov, Stéphane Lathuilière, Shammur Absar Chowdhury, Arindam Ghosh, Radu-Laurentiu Vieriu, Nicu Sebe, Giuseppe Riccardi:
Depression Severity Estimation from Multiple Modalities. - Rachid Guerraoui, Erwan Le Merrer, Rhicheek Patra, Jean-Ronan Vigouroux:
Sequences, Items And Latent Links: Recommendation With Consumed Item Packs. - Andreas Weinand, Michael Karrenbauer, Lianghai Ji, Hans D. Schotten:
Physical Layer Authentication for Mission Critical Machine Type Communication using Gaussian Mixture Model based Clustering. - Marco Ancona, Enea Ceolini, A. Cengiz Öztireli, Markus H. Gross:
A unified view of gradient-based attribution methods for Deep Neural Networks. - Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas, Pabitra Mitra:
Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network. - Mashel Al-Barak, Muna Alrazgan, Rami Bahsoon:
Database Normalization Debt: A Debt-Aware Approach to Reason about Normalization Decisions in Database Design. - M. Ammar Ben Khadra:
An introduction to approximate computing. - Aaqib Saeed, Stojan Trajanovski:
Personalized Driver Stress Detection with Multi-task Neural Networks using Physiological Signals. - Vojtech Forejt, Petr Jancar, Stefan Kiefer, James Worrell:
Game Characterization of Probabilistic Bisimilarity, and Applications to Pushdown Automata. - Rüdiger Göbl, Nassir Navab, Christoph Hennersperger:
SUPRA: Open Source Software Defined Ultrasound Processing for Real-Time Applications. - Ho-Pun Lam, Mustafa Hashmi:
Enabling Reasoning with LegalRuleML. - Pascal Budner, Joscha Eirich, Peter A. Gloor:
"Making you happy makes me happy" - Measuring Individual Mood with Smartwatches. - Sebastian Bullinger, Christoph Bodensteiner, Michael Arens, Rainer Stiefelhagen:
3D Trajectory Reconstruction of Dynamic Objects Using Planarity Constraints. - Lai Dac Viet, Vu Trong Sinh, Le Minh Nguyen, Ken Satoh:
ConvAMR: Abstract meaning representation parsing for legal document. - Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk:
Learning Compositional Visual Concepts with Mutual Consistency. - Xiang Zhang, Lina Yao, Salil S. Kanhere, Yunhao Liu, Tao Gu, Kaixuan Chen:
MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network. - Matteo Drago, Tommy Azzino, Michele Polese, Cedomir Stefanovic, Michele Zorzi:
Reliable Video Streaming over mmWave with Multi Connectivity and Network Coding. - Lipeng Zhu, Jun Zhang, Zhenyu Xiao, Xianbin Cao, Dapeng Oliver Wu, Xiang-Gen Xia:
Joint Power Control and Beamforming for Uplink Non-Orthogonal Multiple Access in 5G Millimeter-Wave Communications. - Li Niu, Jianfei Cai, Ashok Veeraraghavan:
Zero-Shot Learning via Category-Specific Visual-Semantic Mapping. - Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Andrés Duque:
Addressing Cross-Lingual Word Sense Disambiguation on Low-Density Languages: Application to Persian. - Simone Silvetti, Laura Nenzi, Luca Bortolussi, Ezio Bartocci:
A Robust Genetic Algorithm for Learning Temporal Specifications from Data. - Jia-Hong Huang
A Novel Framework for Robustness Analysis of Visual QA Models. - (Withdrawn) Privacy-preserving Edit Distance on Genomic Data.
- Rajarshee Mitra:
An Abstractive approach to Question Answering. - Reid Priedhorsky, Dave Osthus, Ashlynn R. Daughton, Kelly R. Moran, Aron Culotta:
Deceptiveness of internet data for disease surveillance. - Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. - Olga Dergachyova, Xavier Morandi, Pierre Jannin:
Analyzing Before Solving: Which Parameters Influence Low-Level Surgical Activity Recognition. - Peter Burcsi, Zsuzsanna Lipták, W. F. Smyth:
On the Parikh-de-Bruijn grid. - Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu:
Language-Based Image Editing with Recurrent Attentive Models. - Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey, Ann Nowé:
Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies. - Yuan Yang:
One Model for the Learning of Language. - Devesh Walawalkar:
Grammatical facial expression recognition using customized deep neural network architecture. - Tengchan Zeng, Omid Semiari, Walid Saad:
Spatio-Temporal Motifs for Optimized Vehicle-to-Vehicle (V2V) Communications. - João Felipe Santos, Tiago H. Falk:
Speech Dereverberation with Context-aware Recurrent Neural Networks. - Sanchari Sen, Shubham Jain, Swagath Venkataramani, Anand Raghunathan:
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks. - Mansour Sheikhan, Ehsan Hemmati, Reza Shahnazi:
GA-PSO-Optimized Neural-Based Control Scheme for Adaptive Congestion Control to Improve Performance in Multimedia Applications. - Nicola Gatti, Marco Rocco, Tuomas Sandholm:
On the Verification and Computation of Strong Nash Equilibrium. - Hao Chen:
Optimizing relinearization in circuits for homomorphic encryption. - Charles Hathaway:
Software Metric Framework. - Sung Jin Cho:
PRE-render Content Using Tiles (PRECUT). 1. Large-Scale Compound-Target Relationship Analyses. - Chih-Yao Ma, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib, Hans Peter Graf:
Attend and Interact: Higher-Order Object Interactions for Video Understanding. - Jorge M. Taramón, Jason P. Morgan, Chao Shi, Jörg Hasenclever:
Generation of unstructured meshes in 2-D, 3-D, and spherical geometries with embedded high resolution sub-regions. - Daniel Karapetyan, Boris Goldengorin:
Conditional Markov Chain Search for the Simple Plant Location Problem improves upper bounds on twelve Körkel-Ghosh instances. - Josh Gardner, Christopher Brooks:
Student Success Prediction in MOOCs. - Gatis Mikelsons
Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and Opportunities. - Anselm Rothe, Brenden M. Lake, Todd M. Gureckis:
Question Asking as Program Generation. - Saeid Karimi:
Numerical time integration of lumped parameter systems governed by implicit constitutive relations. - Chih-Yao Ma, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib, Hans Peter Graf:
Grounded Objects and Interactions for Video Captioning. - Mansour Sheikhan, Reza Shahnazi, Ehsan Hemmati:
Adaptive active queue management controller for TCP communication networks using PSO-RBF models. - Minkyoung Kim, Raja Jurdak, Dean Paini:
Modeling Reflexivity of Social Systems in Disease Spread. - Stepan L. Kuznetsov:
Eliminating the unit constant in the Lambek calculus with brackets. - David E. Narváez:
Exploring the Use of Shatter for AllSAT Through Ramsey-Type Problems. - Renato Hermoza, Ivan Sipiran:
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversary Network. - Mason Liu, Menglong Zhu:
Mobile Video Object Detection with Temporally-Aware Feature Maps. - Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers:
Prediction error identification of linear dynamic networks with rank-reduced noise. - Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries. - Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei:
Thoracic Disease Identification and Localization with Limited Supervision. - Weiyue Wang, Qiangui Huang, Suya You, Chao Yang, Ulrich Neumann:
Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks. - T. Nathan Mundhenk, Daniel Ho, Barry Y. Chen:
Improvements to context based self-supervised learning. - Tianci Liu, Zelin Shi, Yunpeng Liu:
Dimensionality Reduction on Grassmannian via Riemannian Optimization: A Generalized Perspective. - Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey:
Data-driven Planning via Imitation Learning. - Yin Zhou, Oncel Tuzel:
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection. - Yixin Cao, Jianer Chen, Jia-Hao Fan:
An O*(1.84sk) Parameterized Algorithm for the Multiterminal Cut Problem. - Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah:
Improving Palliative Care with Deep Learning. - Ye Xia, Danqing Zhang, Alexei Pozdnoukhov, Ken Nakayama, Karl Zipser, David Whitney:
Training a network to attend like human drivers saves it from common but misleading loss functions. - Jiuxiang Gu, Jianfei Cai, Shafiq R. Joty, Li Niu, Gang Wang:
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models. - Shruti Mittal, Dattaraj Rao:
Vision Based Railway Track Monitoring using Deep Learning. - Yasir R. Darr, Muaz A. Niazi:
Towards Self-organized Large-Scale Shape Formation: A Cognitive Agent-Based Computing Approach. - Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Rongrong Ji, Jian Yang:
Action-Attending Graphic Neural Network. - Rajan Udwani:
Multi-Objective Maximization of Monotone Submodular Functions with Cardinality Constraint. - Housam Khalifa Bashier Babiker, Randy Goebel:
Using KL-divergence to focus Deep Visual Explanation. - Marcos Amaris, Giorgio Lucarelli, Clément Mommessin, Denis Trystram:
Generic algorithms for scheduling applications on heterogeneous multi-core platforms. - Ziqiang Shi, Mengjiao Wang, Liu Liu, Huibin Lin, Rujie Liu:
A Double Joint Bayesian Approach for J-Vector Based Text-dependent Speaker Verification. - Holger Roth, Masahiro Oda, Natsuki Shimizu, Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori:
Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks. - Susana Rey, Patricio Reyes, Alonso Silva:
Evolution of Social Power for Opinion Dynamics Networks. - Idan Kligvasser, Tamar Rott Shaham, Tomer Michaeli:
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration. - Jie Chang, Yujun Gu, Ya Zhang:
Chinese Typeface Transformation with Hierarchical Adversarial Network. - Benyamin Ghojogh, Saeed Bagheri Shouraki, Hoda Mohammadzade, Ensieh Iranmehr:
A Fusion-based Gender Recognition Method Using Facial Images. - Yexun Zhang, Wenbin Cai, Ya Zhang:
Separating Style and Content for Generalized Style Transfer. - Aaron Schild:
An almost-linear time algorithm for uniform random spanning tree generation. - Yiqi Hou, Sascha Hornauer, Karl Zipser:
Fast Recurrent Fully Convolutional Networks for Direct Perception in Autonomous Driving. - Hai Yu, Siming Wan, Xiaobo Zhou, Jin Wang, Yongpeng Wu, Feng Shu, Jiangzhou Wang, Jianxin Wang:
GPI-based Secrecy Rate Maximization Beamforming Scheme for Wireless Transmission with AN-aided Directional Modulation. - Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata:
Grounding Visual Explanations (Extended Abstract). - Aseem Rastogi, Nikhil Swamy, Michael Hicks:
WYS*: A Verified Language Extension for Secure Multi-party Computations. - Alexander Markhasin:
Fundamentals of the Extremely Green, Flexible, and Profitable 5G M2M Ubiquitous Communications for Remote e-Healthcare and other Social e-Applications. - Jiahong Wu, He Zheng, Bo Zhao, Yixin Li, Baoming Yan, Rui Liang, Wenjia Wang, Shipei Zhou, Guosen Lin, Yanwei Fu, Yizhou Wang, Yonggang Wang:
AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding. - Antoine Honoré
Large Neural Network Based Detection of Apnea, Bradycardia and Desaturation Events. - Ashok Choudhary, Vamsi Krishna Gummadi, Prasad Krishnan:
Optimal Index Codes via a Duality between Index Coding and Network Coding. - Joachim de Curtò
High-Resolution Deep Convolutional Generative Adversarial Networks. - Victoria J. Hodge, Sam Devlin, Nick Sephton, Florian Block, Anders Drachen, Peter I. Cowling:
Win Prediction in Esports: Mixed-Rank Match Prediction in Multi-player Online Battle Arena Games. - Fuqing Zhu, Xiangwei Kong, Haiyan Fu, Qi Tian:
Pseudo-positive regularization for deep person re-identification. - Koen Claessen, Jonatan Kilhamn, Laura Kovács, Bengt Lennartson:
A Supervisory Control Algorithm Based on Property-Directed Reachability. - Chao Gao, Robert Harle:
Semi-automated Signal Surveying Using Smartphones and Floorplans. - William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer:
Detecting hip fractures with radiologist-level performance using deep neural networks. - Tiezheng Ge, Liqin Zhao, Guorui Zhou, Keyu Chen, Shuying Liu, Huiming Yi, Zelin Hu, Bochao Liu, Peng Sun, Haoyu Liu, Pengtao Yi, Sui Huang, Zhiqiang Zhang, Xiaoqiang Zhu, Yu Zhang, Kun Gai:
Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior. - Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas P. Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou:
Neuromorphic computing with multi-memristive synapses. - Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen:
Bidirectional deep echo state networks. - Andreas Storvik Strauman, Filippo Maria Bianchi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen:
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. - Moshe BenBassat:
Double Deep Machine Learning. - Alexandr Naumchev:
Towards operational natural language. - Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang:
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs. - Robert Bredereck, Piotr Faliszewski, Ayumi Igarashi, Martin Lackner, Piotr Skowron:
Multiwinner Elections with Diversity Constraints. - Xu Sun, Xuancheng Ren, Shuming Ma, Bingzhen Wei, Wei Li, Houfeng Wang:
Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method. - Vedat Levi Alev, Nima Anari, Lap Chi Lau, Shayan Oveis Gharan:
Graph Clustering using Effective Resistance. - Zhi Gao, Yuwei Wu, Xingyuan Bu, Yunde Jia:
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds. - Eshan Singh, David Lin, Clark W. Barrett, Subhasish Mitra:
Logic Bug Detection and Localization Using Symbolic Quick Error Detection. - Daniel Kirchner, Christoph Benzmüller, Edward N. Zalta:
Mechanizing Principia Logico-Metaphysica in Functional Type Theory. - Isa Inuwa-Dutse:
Introduction to intelligent computing unit 1. - Gangli Liu:
Understanding Graph and Understanding Map and their Potential Applications. - Joose Rajamäki, Perttu Hämäläinen:
An Iterative Closest Points Approach to Neural Generative Models. - Kourosh Meshgi, Shigeyuki Oba, Shin Ishii:
Efficient Diverse Ensemble for Discriminative Co-Tracking. - Ryan R. Curtin, Shikhar Bhardwaj, Marcus Edel, Yannis Mentekidis:
A generic and fast C++ optimization framework. - Pawel Liskowski, Wojciech Jaskowski, Krzysztof Krawiec:
Learning to Play Othello with Deep Neural Networks. - Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger:
Cautious NMPC with Gaussian Process Dynamics for Miniature Race Cars. - Osamu Hirose:
Dependent landmark drift: robust point set registration based on the Gaussian mixture model with a statistical shape model. - Emmanouil G. Tsardoulias, Aristeidis G. Thallas, Loukas Petrou:
Metric Map Merging using RFID Tags & Topological Information. - Kelwin Fernandes, Jaime S. Cardoso:
Deep Local Binary Patterns. - (Withdrawn) How Wrong Am I? - Studying Adversarial Examples and their Impact on Uncertainty in Gaussian Process Machine Learning Models.
- Francesco Corucci, Nick Cheney, Francesco Giorgio Serchi, Josh C. Bongard, Cecilia Laschi:
Evolving soft locomotion in aquatic and terrestrial environments: effects of material properties and environmental transitions. - Faisal Mahmood, Richard J. Chen, Nicholas J. Durr:
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training. - Hugo Firth, Paolo Missier, Jack Aiston:
Loom: Query-aware Partitioning of Online Graphs. - Jeferson Santiago da Silva, François-Raymond Boyer, J. M. Pierre Langlois:
P4-compatible High-level Synthesis of Low Latency 100 Gb/s Streaming Packet Parsers in FPGAs. - Goran Radanovic, Boi Faltings:
Partial Truthfulness in Minimal Peer Prediction Mechanisms with Limited Knowledge. - Omid Haji Maghsoudi:
Superpixels Based Segmentation and SVM Based Classification Method to Distinguish Five Diseases from Normal Regions in Wireless Capsule Endoscopy. - Xiaodong Cun, Feng Xu, Chi-Man Pun, Hao Gao:
Depth Assisted Full Resolution Network for Single Image-based View Synthesis. - Dan Barnes, Will Maddern, Geoffrey Pascoe, Ingmar Posner:
Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments. - Moab Arar, Shiri Chechik, Sarel Cohen, Cliff Stein, David Wajc:
Dynamic Matching: Reducing Integral Algorithms to Approximately-Maximal Fractional Algorithms. - Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao:
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. - Hejia Zhang, Xia Zhu, Theodore L. Willke:
Segmenting Brain Tumors with Symmetry. - Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi:
Neural Motifs: Scene Graph Parsing with Global Context. - Piotr Faliszewski, Arkadii Slinko, Nimrod Talmon:
The Complexity of Multiwinner Voting Rules with Variable Number of Winners. - Hang Hu, Peng Peng, Gang Wang:
Towards the Adoption of Anti-spoofing Protocols for Email Systems. - Martín Villanueva, Mauricio Araya:
Multiresolution and Hierarchical Analysis of Astronomical Spectroscopic Cubes using 3D Discrete Wavelet Transform. - Keren Ye, Adriana Kovashka:
ADVISE: Symbolism and External Knowledge for Decoding Advertisements. - Andrey M. Coppieters, Sheila de Oliveira, Felipe M. G. França, Maurício L. Pilla, Amarildo T. da Costa:
Decanting the Contribution of Instruction Types and Loop Structures in the Reuse of Traces. - Zeyuan Allen-Zhu, Yuanzhi Li:
Neon2: Finding Local Minima via First-Order Oracles. - Johanni Brea:
Is prioritized sweeping the better episodic control? - Zining Wang, Wei Zhan, Masayoshi Tomizuka:
Fusing Bird View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection. - Dmytro Mishkin, Filip Radenovic, Jiri Matas:
Learning Discriminative Affine Regions via Discriminability. - Ashkan Yousefpour, Caleb Fung, Tam Nguyen, David Hong, Daniel Zhang:
Instant Accident Reporting and Crowdsensed Road Condition Analytics for Smart Cities. - Joon Hee Choi, Omar A. Elgendy, Stanley H. Chan:
Integrating Disparate Sources of Experts for Robust Image Denoising. - Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis:
3D object classification and retrieval with Spherical CNNs. - Laura Gwilliams, David Poeppel, Alec Marantz, Tal Linzen:
Phonological (un)certainty weights lexical activation. - Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings:
Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints. - Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao:
Learning to Organize Knowledge with N-Gram Machines. - Hiroki Takikawa, Kikuko Nagayoshi:
Political Polarization in Social Media: Analysis of the "Twitter Political Field" in Japan. - Zhen-Hua Feng, Josef Kittler, Muhammad Awais, Patrik Huber, Xiaojun Wu:
Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks. - Jordi Ros-Giralt, Alan Commike, Peter Cullen, Richard Lethin:
Algorithms and Data Structures to Accelerate Network Analysis. - Hesham Mostafa, Vishwajith Ramesh, Gert Cauwenberghs:
Deep supervised learning using local errors. - Matthew Riemer, Michele Franceschini, Tim Klinger:
Generation and Consolidation of Recollections for Efficient Deep Lifelong Learning. - Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong:
Addressing Expensive Multi-objective Games with Postponed Preference Articulation via Memetic Co-evolution. - Sarit Chicotay, Eli David, Nathan S. Netanyahu:
Image Registration of Very Large Images via Genetic Programming. - Sarit Chicotay, Eli David, Nathan S. Netanyahu:
A Two-Phase Genetic Algorithm for Image Registration. - Dror Sholomon, Eli David, Nathan S. Netanyahu:
Genetic Algorithm-Based Solver for Very Large Multiple Jigsaw Puzzles of Unknown Dimensions and Piece Orientation. - Dror Sholomon, Eli David, Nathan S. Netanyahu:
An Automatic Solver for Very Large Jigsaw Puzzles Using Genetic Algorithms. - Dror Sholomon, Eli David, Nathan S. Netanyahu:
A Generalized Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles of Complex Types. - Dror Sholomon, Eli David, Nathan S. Netanyahu:
A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles. - Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour:
Game Theoretic Analysis of Auction Mechanisms Modeled by Constrained Optimization Problems. - Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff:
Excitation Backprop for RNNs. - Abderrahim Khalifa, Younes Idsouguou, Loubna Benabbou, Mourad Zirari:
Machine Learning Approaches for Traffic Volume Forecasting: A Case Study of the Moroccan Highway Network. - Benjamin Eysenbach, Shixiang Gu, Julian Ibarz, Sergey Levine:
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning. - Daniel Cullina, Negar Kiyavash:
Exact alignment recovery for correlated Erdos Renyi graphs. - Risheng Liu, Xin Fan, Minjun Hou, Zhiying Jiang, Zhongxuan Luo, Lei Zhang:
Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond. - Sparsh Mittal:
Mitigating Read-disturbance Errors in STT-RAM Caches by Using Data Compression. - Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang:
Co-attending Free-form Regions and Detections with Multi-modal Multiplicative Feature Embedding for Visual Question Answering. - Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Tien-Ju Yang, Edward Choi:
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. - Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark C. Whitmore, Carla P. Gomes:
Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Network. - Robin Scheibler, Diego Di Carlo, Antoine Deleforge, Ivan Dokmanic:
Separake: Source Separation with a Little Help From Echoes. - Érico Marco D. A. Pereira, Jefersson A. dos Santos:
A Color Quantization Optimization Approach for Image Representation Learning. - Vishal Saxena:
A Compact CMOS Memristor Emulator Circuit and its Applications. - Robert Falkenberg, Karsten Heimann, Christian Wietfeld:
Discover Your Competition in LTE: Client-Based Passive Data Rate Prediction by Machine Learning. - Guillem Collell, Luc Van Gool, Marie-Francine Moens:
Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates. - Moontae Lee, David M. Mimno:
Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference. - Huaxin Xiao, Yunchao Wei, Yu Liu, Maojun Zhang, Jiashi Feng:
Transferable Semi-supervised Semantic Segmentation. - Stéphane Lathuilière, Benoit Massé, Pablo Mesejo, Radu Horaud:
Neural Network Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction. - Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
Identifying Recent Behavioral Data Length in Mobile Phone Log. - Eli David, Moshe Koppel, Nathan S. Netanyahu:
Genetic Algorithms for Mentor-Assisted Evaluation Function Optimization. - Eli David, H. Jaap van den Herik, Moshe Koppel, Nathan S. Netanyahu:
Simulating Human Grandmasters: Evolution and Coevolution of Evaluation Functions. - Eli David, Moshe Koppel, Nathan S. Netanyahu:
Expert-Driven Genetic Algorithms for Simulating Evaluation Functions. - Emmanouil G. Tsardoulias, Pericles A. Mitkas:
Robotic frameworks, architectures and middleware comparison. - Mohsin Adalat, Muaz A. Niazi:
Evaluating Roles of Central Users in Online Communication Networks: A Case Study of #PanamaLeaks. - Alberto Perez Veiga:
Project Success in Agile Development Projects. - Nick Pawlowski, Sofia Ira Ktena, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Martin Rajchl:
DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images. - Ahmet Cetinkaya, Hideaki Ishii, Tomohisa Hayakawa:
A Probabilistic Characterization of Random and Malicious Communication Failures in Multi-Hop Networked Control. - Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, Rui Yan:
Style Transfer in Text: Exploration and Evaluation. - Ishmaal Erekson, Rajnikant Sharma, Ashwini Ratnoo, Ryan M. Gerdes:
Multi-vehicle Path Following using Modified Trajectory Shaping Guidance. - Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions. - Inmo Jang, Hyo-Sang Shin, Antonios Tsourdos:
Bio-Inspired Local Information-Based Control for Probabilistic Swarm Distribution Guidance. - Inmo Jang, Hyo-Sang Shin, Antonios Tsourdos:
Anonymous Hedonic Game for Task Allocation in a Large-Scale Multiple Agent System. - Sheshera Mysore, Edward Kim
Automatically Extracting Action Graphs from Materials Science Synthesis Procedures. - Georgios Piliouras, Leonard J. Schulman:
Learning Dynamics and the Co-Evolution of Competing Sexual Species. - Moses Charikar, Shay Solomon:
Fully Dynamic Almost-Maximal Matching: Breaking the Polynomial Barrier for Worst-Case Time Bounds. - Falk Lieder, Frederick Callaway, Sayan Gul, Paul M. Krueger, Thomas L. Griffiths:
Learning to select computations. - Sankhanil Dey, Ranjan Ghosh:
A New Algebraic Method to Search Irreducible Polynomials Using Decimal Equivalents of Polynomials over Galois Field GF(p^q). - Hai Hu:
Is China Entering WTO or shijie maoyi zuzhi-a Corpus Study of English Acronyms in Chinese Newspapers. - Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li:
Single-Shot Refinement Neural Network for Object Detection. - Daniel N. Rockmore, Chen Fang, Nicholas J. Foti, Tom Ginsburg, David C. Krakauer:
The Cultural Evolution of National Constitutions. - Amritanshu Pandey, Marko Jereminov, Xin Li, Gabriela Hug, Larry T. Pileggi:
Aggregated Load and Generation Equivalent Circuit Models with Semi-Empirical Data Fitting. - Eleni Constantinou, Tom Mens:
Automatic link extraction: The good, the bad and the ugly in software ecosystem mining. - Zhiyuan Jiang, Sheng Chen, Sheng Zhou, Zhisheng Niu:
Joint User Scheduling and Beam Selection Optimization for Beam-Based Massive MIMO Downlinks. - George He, Sami Oueida, Tucker Ward:
Gazing into the Abyss: Real-time Gaze Estimation. - Orr Fischer, Tzlil Gonen, Rotem Oshman:
Superlinear Lower Bounds for Distributed Subgraph Detection. - Mikhail Pavlov, Sergey Kolesnikov, Sergey M. Plis:
Run, skeleton, run: skeletal model in a physics-based simulation. - Andrea Celli, Nicola Gatti:
Computational Results for Extensive-Form Adversarial Team Games. - Sourya Dey, Peter A. Beerel, Keith M. Chugg:
Interleaver Design for Deep Neural Networks. - Jie Zhang:
Average-case Approximation Ratio of Scheduling without Payments. - Zhizheng Liang, Lei Zhang, Jin Liu, Yong Zhou:
A novel total variation model based on kernel functions and its application. - Jonathan Dodge, Sean Penney, Claudia Hilderbrand, Andrew Anderson, Margaret M. Burnett:
How the Experts Do It: Assessing and Explaining Agent Behaviors in Real-Time Strategy Games. - Hamed Jelodar, Yongli Wang, Chi Yuan, Xiaohui Jiang:
A systematic framework to discover pattern for web spam classification. - Amitabha Roy, Subramanya R. Dulloor:
Cyclone: High Availability for Persistent Key Value Stores. - Imon Banerjee, Sriraman Madhavan, Roger Eric Goldman, Daniel L. Rubin:
Intelligent Word Embeddings of Free-Text Radiology Reports. - Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser-Nam Lim, Rama Chellappa:
Unsupervised Domain Adaptation for Semantic Segmentation with GANs. - Nabarun Pal, Priya Arora, Dhanasekar Sundararaman, Puneet Kohli, Sai Sumanth Palakurthy:
How much is my car worth? A methodology for predicting used cars prices using Random Forest. - Lex Fridman, Daniel E. Brown, Michael Glazer, William Angell, Spencer Dodd, Benedikt Jenik, Jack Terwilliger, Julia Kindelsberger, Li Ding, Sean Seaman, Hillary Abraham, Alea Mehler, Andrew Sipperley, Anthony Pettinato, Bobbie Seppelt, Linda Angell, Bruce Mehler, Bryan Reimer:
MIT Autonomous Vehicle Technology Study: Large-Scale Deep Learning Based Analysis of Driver Behavior and Interaction with Automation. - Yuanming Shi, Jun Zhang, Wei Chen, Khaled Ben Letaief:
Enhanced Group Sparse Beamforming for Green Cloud-RAN: A Random Matrix Approach. - Shaunak D. Bopardikar, George S. Eskander Ekladious:
Sequential Randomized Matrix Factorization for Gaussian Processes: Efficient Predictions and Hyper-parameter Optimization. - Zhangjie Liu, Mei Su, Yao Sun, Wenbin Yuan, Hua Han:
On existence and stability of equilibria of DC Microgrid with constant power loads. - Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu:
Kill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement. - Jingjing Xu, Ji Wen, Xu Sun, Qi Su:
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text. - Ilke Çugu, Eren Sener, Emre Akbas:
MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images. - Poorya ZareMoodi, Gholamreza Haffari:
Incorporating Syntactic Uncertainty in Neural Machine Translation with Forest-to-Sequence Model. - Yannick Forster
Verification of PCP-Related Computational Reductions in Coq. - Weijian Deng, Liang Zheng, Guoliang Kang, Yi Yang, Qixiang Ye, Jianbin Jiao:
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification. - Petr N. Vabishchevich:
Two-level schemes for the advection equation. - Ganzhao Yuan, Haoxian Tan, Wei-Shi Zheng:
A Coordinate-wise Optimization Algorithm for Sparse Inverse Covariance Selection. - (Withdrawn) An Improved Oscillating-Error Classifier with Branching.
- Qingsheng Luo, Chenyang Zhou, Yan Jia, Jianfeng Gao, Fangzheng Liu:
CPG-Based Control Scheme for Quadruped Robot to Withstand the Lateral Impact. - Anh Nguven Duc, Yngve Dahle, Martin Steinert, Pekka Abrahamsson:
Towards understanding startup product development as effectual entrepreneurial behaviors. - Anh Nguyen-Duc, Daniela S. Cruzes, Geir Kjetil Hanssen, Terje Snarby, Pekka Abrahamsson:
Coopetition of software firms in Open source software ecosystems. - Márcia L. C. Peixoto, Erivelton G. Nepomuceno, Samir A. M. Martins:
Analysis of RLD Circuit by means of Phase Space with a non-ideal diode model. - Jules Hedges:
Morphisms of open games. - Richard Altendorfer, Christoph Wilkmann:
What Is The Collision Probability And How To Compute It. - Hadi Salman, Elif Ayvali, Rangaprasad Arun Srivatsan, Yifei Ma, Nicolas Zevallos, Rashid Yasin, Long Wang, Nabil Simaan, Howie Choset:
Trajectory-Optimized Sensing for Active Search of Tissue Abnormalities in Robotic Surgery. - Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, Jiri Matas:
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. - Moontae Lee, David Bindel, David M. Mimno:
Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models. - Liwei Wang, Alexander G. Schwing, Svetlana Lazebnik:
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space. - Evgeny Ivanko:
The destiny of constant structure discrete time closed semantic systems. - Yngve Dahle, Martin Steinert, Anh Nguyen-Duc, Pekka Abrahamsson:
Building an Entrepreneurship Data Warehouse. - Zhen Shen, Yong Yao, Yi Xie, Chao Guo, Xiuqin Shang, Xisong Dong, Yuqing Li, Zhouxian Pan, Shi Chen, Hui Pan, Gang Xiong:
The process of 3D-printed skull models for the anatomy education. - Marisa Vasconcelos, Carlos Cardonha, Bernardo Gonçalves:
Modeling Epistemological Principles for Bias Mitigation in AI Systems: An Illustration in Hiring Decisions. - Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi:
Deletion-Robust Submodular Maximization at Scale. - Plínio S. Dester, Paulo Cardieri, Jose Marcos Camara Brito:
On the Stability of a N-class Aloha Network. - (Withdrawn) Quantum Inspired Security on a Mobile Phone.
- Asem Othman, John Callahan:
The Horcrux Protocol: A Method for Decentralized Biometric-based Self-sovereign Identity. - Yundong Zhang, Naveen Suda, Liangzhen Lai, Vikas Chandra:
Hello Edge: Keyword Spotting on Microcontrollers. - Kuang-Huei Lee, Xiaodong He, Lei Zhang, Linjun Yang:
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise. - Jackson Abascal, Shir Maimon:
Critique of Barbosa's "P != NP Proof". - Felix Heide, Matthew O'Toole, Kai Zhang, David B. Lindell, Steven Diamond, Gordon Wetzstein:
Robust Non-line-of-sight Imaging with Single Photon Detectors. - Susumu Nishimura:
Schlegel Diagram and Optimizable Immediate Snapshot Protocol. - Jingxue Ma, Gennian Ge:
Optimal binary linear locally repairable codes with disjoint repair groups. - Alan J. X. Guo, Fei Zhu:
Spectral-Spatial Feature Extraction and Classification by ANN Supervised with Center Loss in Hyperspectral Imagery. - Ke Wang, Rishabh Singh, Zhendong Su:
Data-Driven Feedback Generation for Introductory Programming Exercises. - Ke Wang, Zhendong Su:
Interactive, Intelligent Tutoring for Auxiliary Constructions in Geometry Proofs. - Guodong Ding, Salman Hameed Khan, Zhenmin Tang, Fatih Porikli:
Let Features Decide for Themselves: Feature Mask Network for Person Re-identification. - Ke Wang, Rishabh Singh, Zhendong Su:
Dynamic Neural Program Embedding for Program Repair. - Jiren Jin, Richard G. Calland, Takeru Miyato, Brian K. Vogel, Hideki Nakayama:
Parameter Reference Loss for Unsupervised Domain Adaptation. - Ke Yan, Wen Shen, Huijuan Lu, Qun Jin:
Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services. - Galymzhan Nauryzbayev, Emad Alsusa, Mohamed M. Abdallah:
On the Feasibility of Interference Alignment in Compounded MIMO Broadcast Channels with Antenna Correlation and Mixed User Classes. - Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi-Keung Tang, Alan L. Yuille:
Adversarial Attacks Beyond the Image Space. - Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong:
Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks. - Hirofumi Tsuda, Ken Umeno:
Method to Design UF-OFDM Filter and its Analysis. - Atique ur Rehman, Rafia Rahim, Muhammad Shahroz Nadeem, Sibt ul Hussain:
End-to-end Trained CNN Encode-Decoder Networks for Image Steganography. - Yelena Mejova, Youcef Benkhedda, Khairani:
#Halal Culture on Instagram. - Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians. - Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou:
Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms. - David Harborth, Dominik Herrmann, Stefan Köpsell, Sebastian Pape
Integrating Privacy-Enhancing Technologies into the Internet Infrastructure. - Manish Kesarwani, Bhaskar Mukhoty, Vijay Arya, Sameep Mehta:
Model Extraction Warning in MLaaS Paradigm. - Olivier Van Acker:
SCTP in Go. - Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos, Cesar Berrospi, Abdel Labbi:
Linear-Complexity Relaxed Word Mover's Distance with GPU Acceleration. - Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis:
Finite Time Analysis of Optimal Adaptive Policies for Linear-Quadratic Systems. - Alexis Arnaudon, Darryl D. Holm, Stefan Sommer:
Stochastic metamorphosis with template uncertainties. - Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman:
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters. - Chao Peng, Tete Xiao, Zeming Li, Yuning Jiang, Xiangyu Zhang, Kai Jia, Gang Yu, Jian Sun:
MegDet: A Large Mini-Batch Object Detector. - Konkimalla Chandra Prakash, Y. M. Srikar, Gayam Trishal, Souraj Mandal, Sumohana S. Channappayya:
Optical Character Recognition (OCR) for Telugu: Database, Algorithm and Application. - Jianfeng Wang, Ye Yuan, Gang Yu:
Face Attention Network: An Effective Face Detector for the Occluded Faces. - Peter J. Seiler, Robert Moore, Chris Meissen, Murat Arcak, Andrew K. Packard:
Finite Horizon Robustness Analysis of LTV Systems Using Integral Quadratic Constraints. - Clément Ballabriga, Julien Forget, Giuseppe Lipari:
Abstract Interpretation of Binary Code with Memory Accesses using Polyhedra. - Zeming Li, Chao Peng, Gang Yu, Xiangyu Zhang, Yangdong Deng, Jian Sun:
Light-Head R-CNN: In Defense of Two-Stage Object Detector. - Hao Wang, Yves Lepage:
Fast BTG-Forest-Based Hierarchical Sub-sentential Alignment. - Mohieddine El Soussi, Pouria Zand, Frank J. Pasveer, Guido Dolmans:
Evaluating the Performance of eMTC and NB-IoT for Smart City Applications. - Philip Bille, Travis Gagie, Inge Li Gørtz, Nicola Prezza:
A Separation Between Run-Length SLPs and LZ77. - Michaël Fanuel, Antoine Aspeel, Jean-Charles Delvenne, Johan A. K. Suykens:
Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions. - Phillip W. Lord, Robert Stevens:
Facets, Tiers and Gems: Ontology Patterns for Hypernormalisation. - Chung-Cheng Chiu, Anshuman Tripathi, Katherine Chou, Chris Co, Navdeep Jaitly, Diana Jaunzeikare, Anjuli Kannan, Patrick Nguyen, Hasim Sak, Ananth Sankar, Justin Tansuwan, Nathan Wan, Yonghui Wu, Xuedong Zhang:
Speech recognition for medical conversations. - Mudasar Bacha, Bruno Clerckx, Kaibin Huang:
Backscatter Communications for the Internet of Things: A Stochastic Geometry Approach. - Benjamin Hof, Georg Carle:
Software Distribution Transparency and Auditability. - Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel:
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments. - Maurice Weiler, Fred A. Hamprecht, Martin Storath:
Learning Steerable Filters for Rotation Equivariant CNNs. - Lutz Bornmann, Robin Haunschild:
Do bibliometrics and altmetrics correlate with the quality of papers? A large-scale empirical study based on F1000Prime, altmetrics, and citation data. - Edans F. de O. Sandes, George Teodoro, Alba C. M. A. Melo:
Bitmap Filter: Speeding up Exact Set Similarity Joins with Bitwise Operations. - Bo Zhao, Xinwei Sun, Yuan Yao, Yizhou Wang:
Zero-shot Learning via Shared-Reconstruction-Graph Pursuit. - Songtao Wu, Sheng-hua Zhong, Yan Liu:
A Novel Convolutional Neural Network for Image Steganalysis with Shared Normalization. - Marcus Karlsson, Emil Björnson, Erik G. Larsson:
Performance of In-band Transmission of System Information in Massive MIMO Systems. - Ayumi Igarashi, Rani Izsak, Edith Elkind:
Cooperative Games with Bounded Dependency Degree. - Muktabh Mayank Srivastava, Pratyush Kumar, Lalit Pradhan, Srikrishna Varadarajan:
Detection of Tooth caries in Bitewing Radiographs using Deep Learning. - Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, Jian Sun:
Cascaded Pyramid Network for Multi-Person Pose Estimation. - Albert Atserias, Joanna Ochremiak:
Proof Complexity Meets Algebra. - Guangming Lang:
Related family-based attribute reduction of covering information systems when varying attribute sets. - Dixita Limbachiya, Krishna Gopal Benerjee
On DNA Codes using the Ring Z4 + wZ4. - Wlodzimierz Choromanski, Wiktor B. Daszczuk, Jaroslaw Dyduch, Mariusz Maciejewski, Pawel Brach, Waldemar Grabski:
PRT (Personal Rapid Transit) network simulation. - Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante:
Data Fusion on Motion and Magnetic Sensors embedded on Mobile Devices for the Identification of Activities of Daily Living. - Sanjiban Choudhury, Siddhartha S. Srinivasa, Sebastian A. Scherer:
Bayesian Active Edge Evaluation on Expensive Graphs. - Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen:
FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension. - Vincent Tjeng, Russ Tedrake:
Verifying Neural Networks with Mixed Integer Programming. - Kevin H. Knuth:
Lattices and Their Consistent Quantification. - Yasushi Kawase, Atsushi Iwasaki:
Approximately Stable Matchings with Budget Constraints. - Kathleen E. Hamilton, Neena Imam, Travis S. Humble:
Community detection with spiking neural networks for neuromorphic hardware. - Koteswararao Kondepu, Andrea Sgambelluri, Filippo Cugini, Piero Castoldi, Raquel Aparicio Morenilla, David Larrabeiti, Brecht Vermeulen, Luca Valcarenghi:
Performance Evaluation of SDN-Controlled Green Mobile Fronthaul Using a Federation of Experimental Network. - Jaromír Janisch, Tomás Pevný, Viliam Lisý:
Classification with Costly Features using Deep Reinforcement Learning. - Federico Pernici, Federico Bartoli, Matteo Bruni, Alberto Del Bimbo:
Memory Based Online Learning of Deep Representations from Video Streams. - Shuai D. Han, Nicholas M. Stiffler, Athanasios Krontiris, Kostas E. Bekris, Jingjin Yu:
Complexity Results and Fast Methods for Optimal Tabletop Rearrangement with Overhand Grasps. - Steven Y. Ko, Lauren Sassoubre, Jaroslaw Zola:
Applications and Challenges of Real-time Mobile DNA Analysis. - Hadi Saki, Arman Shojaeifard, M. M. Mahyari, Mohammad Shikh-Bahaei:
On the Ergodic Rate of OFDMA Cognitive Radios under Imperfect Cross-Link Information. - Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach:
Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract). - Yilin Song, Chenge Li, Yao Wang:
Pixel-wise object tracking. - Indrakshi Dey, Geoffrey G. Messier, Sebastian Magierowski:
Adaptive M-QAM for Indoor Wireless Environments : Rate & Power Adaptation. - Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee:
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map. - N. Dianna Radpour, Vinay Ashokkumar:
Non-Contextual Modeling of Sarcasm using a Neural Network Benchmark. - Qiyang Hu, Attila Szabó, Tiziano Portenier, Matthias Zwicker, Paolo Favaro:
Disentangling Factors of Variation by Mixing Them. - Guangmo Amo Tong, Weili Wu, Ding-Zhu Du:
Distributed Rumor Blocking in Social Networks: A Game Theoretical Analysis. - (Withdrawn) The Promise and Peril of Human Evaluation for Model Interpretability.
- Mario Amrehn, Stefan Steidl, Markus Kowarschik, Andreas K. Maier:
Robust Seed Mask Generation for Interactive Image Segmentation. - Bernd Gärtner, Ahad N. Zehmakan:
Majority Model on Random Regular Graphs. - Kevin T. Feigelis, Blue Sheffer, Daniel L. K. Yamins:
Modular Continual Learning in a Unified Visual Environment. - Siddharth Mahendran, Haider Ali, René Vidal:
Joint Object Category and 3D Pose Estimation from 2D Images. - Weiyao Lin, Yang Mi, Jianxin Wu, Ke Lu, Hongkai Xiong:
Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion. - Neal McBride
A local graph rewiring algorithm for sampling spanning trees. - Yuning Qiu, Guoxu Zhou, Kan Xie:
Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering. - Weijia Chen, Yuedong Xu, Xiaofeng Wu:
Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling. - Guozhu Meng, Yinxing Xue, Jing Kai Siow, Ting Su, Annamalai Narayanan, Yang Liu:
AndroVault: Constructing Knowledge Graph from Millions of Android Apps for Automated Analysis. - Samuel B. Hopkins, Jerry Li:
Mixture Models, Robustness, and Sum of Squares Proofs. - Junting Chen, Urbashi Mitra:
Matrix Factorization for Nonparametric Multi-source Localization Exploiting Unimodal Properties. - Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Alexander Wong:
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis. - Ayush Jaiswal, Wael Abd-Almageed, Yue Wu, Premkumar Natarajan:
Bidirectional Conditional Generative Adversarial Networks. - Reza Abiri, Soheil Borhani, Xiaopeng Zhao, Yang Jiang:
Real-time brain machine interaction via social robot gesture control. - Pravesh K. Kothari, Jacob Steinhardt:
Better Agnostic Clustering Via Relaxed Tensor Norms. - Bernd R. Schuh:
XSAT of Exact Linear CNF Classes. - Saki Shinoda, Daniel E. Worrall, Gabriel J. Brostow:
Virtual Adversarial Ladder Networks For Semi-supervised Learning. - Lucky Onwuzurike, Enrico Mariconti, Panagiotis Andriotis, Emiliano De Cristofaro, Gordon J. Ross, Gianluca Stringhini:
MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version). - Melrose Roderick, James MacGlashan, Stefanie Tellex:
Implementing the Deep Q-Network. - Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer:
Teaching a Machine to Read Maps with Deep Reinforcement Learning. - Franyell Silfa, Gem Dot, José-María Arnau, Antonio González:
E-PUR: An Energy-Efficient Processing Unit for Recurrent Neural Networks. - Hyongju Park, Jinsun Liu, Matthew Johnson-Roberson, Ram Vasudevan:
Robust Environmental Mapping by Mobile Sensor Networks. - Christopher J. Tralie:
Self-Similarity Based Time Warping. - Hao Dong, Chao Wu, Zhen Wei, Yike Guo:
Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security. - Etika Agarwal, Shravan Sajja, Panos J. Antsaklis, Vijay Gupta:
Dissipativity of system abstractions obtained using approximate input-output simulation. - Stefano D'Aronco, Pascal Frossard:
Online Resource Inference in Network Utility Maximization Problems. - Lydia Manikonda, Aditya Deotale, Subbarao Kambhampati:
What's up with Privacy?: User Preferences and Privacy Concerns in Intelligent Personal Assistants. - Philip Ginzboorg:
On estimating the alphabet size of a discrete random source. - Amogh Agrawal, Aayush Ankit, Kaushik Roy:
SPARE: Spiking Networks Acceleration Using CMOS ROM-Embedded RAM as an In-Memory-Computation Primitive. - Adham Kalila, Zeyad Awwad, Riccardo Di Clemente
Big Data Fusion to Estimate Fuel Consumption: A Case Study of Riyadh. - Rong Gong, Xavier Serra:
Identification of potential Music Information Retrieval technologies for computer-aided jingju singing training. - Xavier Bresson, Thomas Laurent:
Residual Gated Graph ConvNets. - Tanya Shreedhar, Nitinder Mohan, Sanjit K. Kaul, Jussi Kangasharju:
More Than The Sum Of Its Parts: Exploiting Cross-Layer and Joint-Flow Information in MPTCP. - Hiroharu Kato, Yoshitaka Ushiku, Tatsuya Harada:
Neural 3D Mesh Renderer. - Paul Beame, Sariel Har-Peled
Edge Estimation with Independent Set Oracles. - Iuri Frosio, Jan Kautz:
On Nearest Neighbors in Non Local Means Denoising. - Matilda Rhode, Omer F. Rana, Tim Edwards:
Data Capture & Analysis to Assess Impact of Carbon Credit Schemes. - Deguang Kong:
Science Driven Innovations Powering Mobile Product: Cloud AI vs. Device AI Solutions on Smart Device. - Madhulika Mohanty, Maya Ramanath, Mohamed Yahya, Gerhard Weikum:
Spec-QP: Speculative Query Planning for Joins over Knowledge Graphs. - Ahmed M. Elmisery
An Enhanced Middleware for Collaborative Privacy in IPTV Recommender Services. - Yu Cheng, Shaddin Dughmi, David Kempe:
On the Distortion of Voting with Multiple Representative Candidates. - Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu, Yuchen Liu, Rahul Sharma, Charles Sugnet, Mark Ulrich, Jure Leskovec:
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time. - Hongbo Rong:
Programmatic Control of a Compiler for Generating High-performance Spatial Hardware. - Jiyang Gao, Zijian Guo, Zhen Li, Ram Nevatia:
Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN. - Noah Weber, Niranjan Balasubramanian, Nathanael Chambers:
Event Representations with Tensor-based Compositions. - Qi Wu, Peng Wang, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning. - Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu, Anton van den Hengel:
Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards. - Ravi Kiran Raman, Lav R. Varshney:
Dynamic Distributed Storage for Scaling Blockchains. - Ruochen Fan, Qibin Hou, Ming-Ming Cheng, Tai-Jiang Mu, Shi-Min Hu:
S4Net: Single Stage Salient-Instance Segmentation. - Siddharth Barman, Arpita Biswas, Sanath Kumar Krishna Murthy, Y. Narahari:
Groupwise Maximin Fair Allocation of Indivisible Goods. - Jiajia Guo, Hongwei Du, Bensheng Qiu, Xiao Liang:
A deep learning-based method for relative location prediction in CT scan images. - Damián Marelli, Mohsen Zamani, Minyue Fu:
Distributed Kalman Filter in a Network of Linear Dynamical Systems. - Krishna Gopal Benerjee
Bounds on Fractional Repetition Codes using Hypergraphs. - Xiaopeng Yang, Xiaowen Lin, Shunda Suo, Ming Li:
Generating Thematic Chinese Poetry with Conditional Variational Autoencoder. - Jia-Yun Jiang, Cheng-Te Li, Shou-De Lin:
Towards a More Reliable Privacy-preserving Recommender System. - Rui Ren, Jiechao Cheng, Xiwen He, Lei Wang, Chunjie Luo, Jianfeng Zhan:
HybridTune: Spatio-temporal Data and Model Driven Performance Diagnosis for Big Data Systems. - Qianqian Wang, Xiaowei Zhou, Kostas Daniilidis:
Multi-Image Semantic Matching by Mining Consistent Features. - Yutong Shao, Rico Sennrich, Bonnie L. Webber, Federico Fancellu:
Evaluating Machine Translation Performance on Chinese Idioms with a Blacklist Method. - Ayan Mahalanobis, Pralhad Shinde:
Bilinear cryptography using finite p-groups of nilpotency class 2. - James Jian Qiao Yu, Albert Y. S. Lam, David J. Hill, Victor O. K. Li:
Delay Aware Intelligent Transient Stability Assessment System. - James Jian Qiao Yu, Albert Y. S. Lam, David J. Hill, Victor O. K. Li:
A Unified Framework for Wide Area Measurement System Planning. - Risheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang, Zhongxuan Luo:
Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework. - Eli David, Iddo Greental:
Genetic Algorithms for Evolving Deep Neural Networks. - Yi Tay, Luu Anh Tuan, Siu Cheung Hui:
Cross Temporal Recurrent Networks for Ranking Question Answer Pairs. - Peng Yin, Yuqing He, Na Liu, Jianda Han:
Condition directed Multi-domain Adversarial Learning for Loop Closure Detection. - Lingyun Xu, Peng Yin, Haibo Luo, Yunhui Liu, Jianda Han:
Towards Stable Adversarial Feature Learning for LiDAR based Loop Closure Detection. - Kaixuan Chen, Lina Yao, Tao Gu, Zhiwen Yu, Xianzhi Wang, Dalin Zhang:
Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition. - Prabhu Chandhar, Erik G. Larsson:
Massive MIMO for Drone Communications: Applications, Case Studies and Future Directions. - Ashley D. Edwards, Charles Lee Isbell Jr.:
Transferring Agent Behaviors from Videos via Motion GANs. - Elisa Letizia, Fabrizio Lillo:
Corporate payments networks and credit risk rating. - Gökhan Gül:
Asymptotically Minimax Robust Hypothesis Testing. - Gino Brunner, Yuyi Wang, Roger Wattenhofer, Jonas Wiesendanger:
JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs. - Mukul Bhutani, Bamdev Mishra:
A two-dimensional decomposition approach for matrix completion through gossip. - Lianming Zhang, Kezhi Wang, Xuan Du, Kun Yang:
Optimal Task Allocation in Near-Far Computing Enhanced C-RAN for Wireless Big Data Processing. - Alessandro Guidotti, Alessandro Vanelli-Coralli, Tommaso Foggi, Giulio Colavolpe, Màrius Caus, Joan Bas, Stefano Cioni, Andrea Modenini:
LTE-based Satellite Communications in LEO Mega-Constellations. - Christoph Wick, Frank Puppe:
Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images. - Xudong Li, Liming Ma, Chaoping Xing:
Construction of asymptotically good locally repairable codes via automorphism groups of function fields. - Waldo Gálvez, Fabrizio Grandoni, Sandy Heydrich, Salvatore Ingala, Arindam Khan
Approximating Geometric Knapsack via L-packings. - Artem Rozantsev, Mathieu Salzmann, Pascal Fua:
Residual Parameter Transfer for Deep Domain Adaptation. - Hossein Javidnia, Peter Corcoran
Total Variation-Based Dense Depth from Multi-Camera Array. - Hossein Javidnia, Peter Corcoran
The Application of Preconditioned Alternating Direction Method of Multipliers in Depth from Focal Stack. - Eugene A. Golikov, Vlad Zhukov, Maksim Kretov:
Using stochastic computation graphs formalism for optimization of sequence-to-sequence model. - Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin:
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. - Gonçalo Cabrita, Nuno M. Preguiça:
Non-uniform Replication. - S. Aadhavan, P. Renjith, N. Sadagopan:
On P5-free Chordal bipartite graphs. - Saulo Queiroz
The Hidden Binary Search Tree: A Balanced Rotation-Free Search Tree in the AVL RAM Model. - Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun, Chunhua Shen:
Repulsion Loss: Detecting Pedestrians in a Crowd. - Guanhua Zheng, Jitao Sang, Changsheng Xu:
Understanding Deep Learning Generalization by Maximum Entropy. - Emanuel Lacic, Dominik Kowald, Markus Reiter-Haas
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations. - Songtao Liu, Di Huang, Yunhong Wang:
Receptive Field Block Net for Accurate and Fast Object Detection. - Jimmy Jessen Nielsen, Rongkuan Liu, Petar Popovski:
Ultra-Reliable Low Latency Communication (URLLC) using Interface Diversity. - Alperen Acemoglu, Nikhil Deshpande, Leonardo S. Mattos:
Towards a Magnetically Actuated Laser Scanner for Endoscopic Microsurgeries. - Kien-Giang Nguyen, Oskari Tervo, Quang-Doanh Vu, Le-Nam Tran, Markku J. Juntti:
Energy-Efficient Transmission Strategies for CoMP Downlink - Overview, Extension, and Numerical Comparison. - Davide Bacciu:
Hidden Tree Markov Networks: Deep and Wide Learning for Structured Data. - Nadia Creignou, Reinhard Pichler, Stefan Woltran:
Do Hard SAT-Related Reasoning Tasks Become Easier in the Krom Fragment? - Anders Logg, Carl Lundholm, Magne Nordaas:
Solving Poisson's Equation on the Microsoft HoloLens. - Inkyu An, Myung-Bae Son, Dinesh Manocha, Sung-Eui Yoon:
Reflection-Aware Sound Source Localization. - Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball:
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding. - Márcio Cerqueira de Farias Macedo, Antônio Lopes Apolinário, Karl Apaza-Agüero:
Optimized Visibility Functions for Revectorization-Based Shadow Mapping. - Shaofei Wang, Konrad Paul Körding, Julian Yarkony:
Efficient Multi-Person Pose Estimation with Provable Guarantees. - Xingyue Chen, Yunhong Wang, Qingjie Liu:
Visual and Textual Sentiment Analysis Using Deep Fusion Convolutional Neural Networks. - Christian Häger, Henry D. Pfister:
Approaching Miscorrection-free Performance of Product and Generalized Product Codes. - Stamatios Lefkimmiatis:
Universal Denoising Networks : A Novel CNN-based Network Architecture for Image Denoising. - Edson Flórez, Nelson Diaz, Wilfredo Gómez, Lola Bautista, Dario Delgado:
Evaluation of bioinspired algorithms for the solution of the job scheduling problem. - Ahmad W. Bitar, Mohammad M. Mansour, Ali Chehab:
Efficient Implementation of a Recognition System Using the Cortex Ventral Stream Model. - Bruno Brandoli Machado, Gabriel Spadon, Mauro S. Arruda, Wesley Nunes Gonçalves, André C. P. L. F. de Carvalho, José F. Rodrigues Jr.:
A smartphone application to measure the quality of pest control spraying machines via image analysis. - Taihang Dong, Sheng Zhong:
Discussion among Different Methods of Updating Model Filter in Object Tracking. - Abien Fred Agarap
On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset. - Daniel J. Mankowitz, Aviv Tamar, Shie Mannor:
Situationally Aware Options. - Taihang Dong, Sheng Zhong:
Robust Object Tracking Based on Self-adaptive Search Area. - Simon Meister, Junhwa Hur, Stefan Roth:
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss. - Quanyu Dai, Qiang Li, Jian Tang, Dan Wang:
Adversarial Network Embedding. - Thomas Blaschke, Marcus Olivecrona, Ola Engkvist
Application of generative autoencoder in de novo molecular design. - Gordon A. Christie, Neil Fendley, James Wilson, Ryan Mukherjee:
Functional Map of the World. - Salvatore Ingala:
Approximation Algorithms for Rectangle Packing Problems (PhD Thesis). - Pradeep Waychal, Luiz Fernando Capretz:
Universality of Egoless Behavior of Software Engineering Students. - Emre Ozfatura, Deniz Gündüz:
Mobility and Popularity-Aware Coded Small-Cell Caching. - Abdul Rehman Gilal, Jafreezal Jaafar, Luiz Fernando Capretz, Mazni Omar, Izzatdin Abdul Aziz:
Finding an Effective Classification Technique to Develop a Software Team Composition Model. - Jingdong Jia, Hanlin Mo, Luiz Fernando Capretz, Zupeng Chen:
Grouping Environmental Factors Influencing Individual Decision-Making Behavior in Software Projects: A Cluster Analysis. - Ya-Ju Fan:
Autoencoder Node Saliency: Selecting Relevant Latent Representations. - R. Krithika, Diptapriyo Majumdar
Revisiting Connected Vertex Cover: FPT Algorithms and Lossy Kernels. - Paolo Dragone, Stefano Teso, Andrea Passerini:
Constructive Preference Elicitation over Hybrid Combinatorial Spaces. - Luiz Fernando Capretz, Faheem Ahmed, Fabio Queda Bueno da Silva:
Soft Sides of Software. - Jingguang Zhou, Zili Huang:
Recover Missing Sensor Data with Iterative Imputing Network. - Jingdong Jia, Luiz Fernando Capretz:
Direct and mediating influences of user-developer perception gaps in requirements understanding on user participation. - Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif, Fayyaz ul Amir Afsar Minhas:
Training large margin host-pathogen protein-protein interaction predictors. - Olivia Wiles, Andrew Zisserman:
SilNet : Single- and Multi-View Reconstruction by Learning from Silhouettes. - Ronnie E. S. Santos, Cleyton V. C. de Magalhães, Jorge S. Correia Neto, Fabio Queda Bueno da Silva, Luiz Fernando Capretz, Rodrigo E. C. Souza:
Would You Like to Motivate Software Testers? Ask Them How. - Thanh-Le Ha, Jan Niehues
Effective Strategies in Zero-Shot Neural Machine Translation. - Yehuda Dar, Michael Elad, Alfred M. Bruckstein:
Optimized Pre-Compensating Compression. - Ke Li, Renzhi Chen, Guangtao Fu, Xin Yao:
Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization. - Devendra Singh Sachan, Pengtao Xie, Eric P. Xing:
Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition. - Xiaofei Li, Laurent Girin, Sharon Gannot, Radu Horaud:
Multichannel Source Separation and Speech Enhancement Using the Convolutive Transfer Function. - Zhiyuan Jiang, Bhaskar Krishnamachari, Sheng Zhou, Zhisheng Niu:
Optimal Sleeping Mechanism for Multiple Servers with MMPP-Based Bursty Traffic Arrival. - Ata Khalili, Soroush Akhlaghi, Meysam Mirzaee:
Asymptotic Close To Optimal Joint Resource Allocation and Power Control in the Uplink of Two-cell Networks. - Philipe F. Melo, Daniel Hasan Dalip, Manoel M. Junior, Marcos André Gonçalves, Fabrício Benevenuto:
10Sent: A Stable Sentiment Analysis Method Based on the Combination of Off-The-Shelf Approaches. - Pratul P. Srinivasan, Rahul Garg, Neal Wadhwa, Ren Ng, Jonathan T. Barron:
Aperture Supervision for Monocular Depth Estimation. - Zhilin Yang, Saizheng Zhang, Jack Urbanek, Will Feng, Alexander H. Miller, Arthur Szlam, Douwe Kiela, Jason Weston:
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent. - Olivier Van Acker, Oded Lachish, Graeme Burnett:
Cellular Automata Simulation on FPGA for Training Neural Networks with Virtual World Imagery. - Zhihui Zhu, Michael B. Wakin:
Time-Limited Toeplitz Operators on Abelian Groups: Applications in Information Theory and Subspace Approximation. - Erik D. Demaine, Andrea Lincoln, Quanquan C. Liu, Jayson Lynch, Virginia Vassilevska Williams:
Fine-Grained I/O Complexity via Reductions: New lower bounds, faster algorithms, and a time hierarchy. - Neil Ghani, Clemens Kupke, Alasdair Lambert, Fredrik Nordvall Forsberg:
A Compositional Treatment of Iterated Open Games. - Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari:
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge. - Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, Kaiming He:
Non-local Neural Networks. - Bingqing Yu, James J. Clark:
WAYLA - Generating Images from Eye Movements. - Ricardo Bohaczuk Venturelli, Danilo Silva:
Low-Complexity Integer-Forcing Methods for Block Fading MIMO Multiple-Access Channels. - Georgios Theocharous, Zheng Wen, Yasin Abbasi-Yadkori, Nikos Vlassis:
Posterior Sampling for Large Scale Reinforcement Learning. - Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Finding Algebraic Structure of Care in Time: A Deep Learning Approach. - Namit Juneja, Rajesh Kumar Muthu:
Generating Analytic Insights on Human Behaviour using Image Processing. - Edward Kim, Darryl Hannan, Garrett T. Kenyon:
Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons. - Aaron Walsman, Weilin Wan, Tanner Schmidt, Dieter Fox:
Dynamic High Resolution Deformable Articulated Tracking. - Bingqing Yu, James J. Clark:
Personalization of Saliency Estimation. - Xi Wu, Uyeong Jang, Lingjiao Chen, Somesh Jha:
Manifold Assumption and Defenses Against Adversarial Perturbations. - Ahmad Moghimi, Thomas Eisenbarth, Berk Sunar:
MemJam: A False Dependency Attack against Constant-Time Crypto Implementations. - Ning Xie, Md. Kamruzzaman Sarker, Derek Doran, Pascal Hitzler, Michael L. Raymer:
Relating Input Concepts to Convolutional Neural Network Decisions. - Byung-Cheol Min, Ramviyas Parasuraman, Sangjun Lee, Jin-Woo Jung, Eric T. Matson:
A Directional Antenna based Leader-Follower Relay System for End-to-End Robot Communications. - Zhong Meng, Zhuo Chen, Vadim Mazalov, Jinyu Li, Yifan Gong:
Unsupervised Adaptation with Domain Separation Networks for Robust Speech Recognition. - Hang Shao, Abhishek Kumar, P. Thomas Fletcher:
The Riemannian Geometry of Deep Generative Models. - Sean Penney, Jonathan Dodge, Claudia Hilderbrand, Andrew Anderson, Margaret M. Burnett:
Toward Foraging for Understanding of StarCraft Agents: An Empirical Study. - Rasmus Berg Palm
Recurrent Relational Networks for Complex Relational Reasoning. - (Withdrawn) Program Synthesis using Conflict-Driven Learning.
- Peter Bürgisser, Ankit Garg, Rafael Mendes de Oliveira, Michael Walter, Avi Wigderson:
Alternating minimization, scaling algorithms, and the null-cone problem from invariant theory. - Sachin Mehta, Hannaneh Hajishirzi, Linda G. Shapiro:
Identifying Most Walkable Direction for Navigation in an Outdoor Environment. - Robert Krauthgamer, Ohad Trabelsi:
Revisiting the Set Cover Conjecture. - Álvaro López García, Enol Fernández-del-Castillo, Pablo Orviz Fernández:
Standards for enabling heterogeneous IaaS cloud federations. - Ming Hou, Qibin Zhao, Chao Li, Brahim Chaib-draa:
A generative adversarial framework for positive-unlabeled classification. - Erel Segal-Halevi, Avinatan Hassidim:
Truthful Bilateral Trade is Impossible even with Fixed Prices. - Ahmad Abdulkader, Kareem Nassar, Mohamed Mahmoud, Daniel Galvez, Chetan Patil:
Multiple-Instance, Cascaded Classification for Keyword Spotting in Narrow-Band Audio. - Álvaro López García, Enol Fernández-del-Castillo:
Efficient image deployment in cloud environments. - Awal Halifa, Eric Tutu Tchao, Jerry John Kponyo:
Investigating the Best Radio Propagation Model for 4G - WiMAX Networks Deployment in 2530MHz Band in Sub- Saharan Africa. - Daniel Levy, Stefano Ermon:
Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces. - Aaron Gibson, Hamilton Scott Clouse:
Intrusion Detection and Ubiquitous Host to Host Encryption. - Marijn J. H. Heule:
Schur Number Five. - Christian Kroer, Gabriele Farina, Tuomas Sandholm:
Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead. - Radoslaw Kowalski, Marc Esteve, Slava J. Mikhaylov
Application of Natural Language Processing to Determine User Satisfaction in Public Services. - Dongjin Choi, Lee Sael:
SNeCT: Scalable network constrained Tucker decomposition for integrative multi-platform data analysis. - (Withdrawn) Integrating both Visual and Audio Cues for Enhanced Video Caption.
- Rubens O. Moraes, Levi H. S. Lelis:
Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games. - (Withdrawn) CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation.
- Johanna Salvant, Marc Walton, Dale Kronkright, Chia-Kai Yeh, Fengqiang Li, Oliver Cossairt, Aggelos K. Katsaggelos:
Photometric Stereo by UV-Induced Fluorescence to Detect Protrusions on Georgia O'Keeffe's Paintings. - Damien Teney, Anton van den Hengel:
Visual Question Answering as a Meta Learning Task. - Qian Yu, Xiaobin Chang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching. - Julian Lettner, Dokyung Song, Taemin Park, Stijn Volckaert, Per Larsen, Michael Franz:
PartiSan: Fast and Flexible Sanitization via Run-time Partitioning. - Mingda Qiao, Gregory Valiant:
Learning Discrete Distributions from Untrusted Batches. - Zeke Xie, Issei Sato:
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors. - Mohammad Saidur Rahman, Ashfaqur Rahman:
Channel Transition Invariant Fast Broadcasting Scheme. - Maria Spichkova:
(Auto)Focus approaches and their applications: A systematic review. - Shihong Xia, Zihao Zhang, Le Su:
Cascaded 3D Full-body Pose Regression from Single Depth Image at 100 FPS. - Ian R. Manchester, Thomas L. Chaffey:
An Amendment to "Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design". - Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng:
Locally Smoothed Neural Networks. - Ian R. Manchester:
Contracting Nonlinear Observers: Convex Optimization and Learning from Data. - Tse-Tin Chan, Tat-Ming Lok:
Signal-Aligned Network Coding in K-User MIMO Interference Channels with Limited Receiver Cooperation. - Zheng Liu, Rongjie Lai, Huayan Zhang, Chunlin Wu:
Triangulated Surface Denoising using High Order Regularization with Dynamic Weights. - Magnus Jahnen:
Implementation of an Android Framework for USB storage access without root rights. - Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer:
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. - Jeongwan Koh, Yeon-Geun Lim, Chan-Byoung Chae, Joonhyuk Kang:
On the Feasibility of Full-duplex Large-scale MIMO Cellular Systems. - Chandra Thapa, Lawrence Ong, Sarah J. Johnson, Min Li:
Structural Characteristics of Two-Sender Index Coding. - Shufeng Kong, Jae Hee Lee, Sanjiang Li:
Multiagent Simple Temporal Problem: The Arc-Consistency Approach. - Usha Mehta, Vaishali H. Dhare:
Quantum-dot Cellular Automata (QCA): A Survey. - Sk. Mohammadul Haque, Venu Madhav Govindu:
A Face Fairness Framework for 3D Meshes. - Ali Diba, Vivek Sharma, Rainer Stiefelhagen, Luc Van Gool:
Object Discovery By Generative Adversarial & Ranking Networks. - Marwan Hammouda, Sami Akin, Anna Maria Vegni, Harald Haas, Jürgen Peissig:
Link Selection in Hybrid RF/VLC Systems under Statistical Queueing Constraints. - Seong-Jin Park, Ki-Sang Hong:
Video Semantic Object Segmentation by Self-Adaptation of DCNN. - Xuan Zhang, Hao Luo, Xing Fan, Weilai Xiang, Yixiao Sun, Qiqi Xiao, Wei Jiang, Chi Zhang, Jian Sun:
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification. - Bharat Singh, Larry S. Davis:
An Analysis of Scale Invariance in Object Detection - SNIP. - Laura Bozzelli, Alberto Molinari, Angelo Montanari, Adriano Peron, Pietro Sala:
Interval vs. Point Temporal Logic Model Checking: an Expressiveness Comparison. - Baoyu Jing, Pengtao Xie, Eric P. Xing:
On the Automatic Generation of Medical Imaging Reports. - Yifan Gu, He Chen, Yonghui Li, Branka Vucetic:
Ultra-Reliable Short-Packet Communications: Half-Duplex or Full-Duplex Relaying? - Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool:
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification. - Sebastián Castaño-Candamil, Andreas Meinel, Michael Tangermann:
Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods. - Xina Zhang, Xiaoni Du, Chenhuang Wu:
Linear complexity of quaternary sequences over Z4 based on Ding-Helleseth generalized cyclotomic classes. - Anders Roy Christiansen, Mikko Berggren Ettienne:
Compressed Indexing with Signature Grammars. - Filippo Battaglia, Lucia Lo Bello:
A novel JXTA-based architecture for implementing heterogenous Networks of Things. - Vaibhav Amit Patel:
Solving Graph Isomorphism Problem for a Special case. - Hui Wu, Shiji Song, Keyou You, Cheng Wu:
Depth Control of Model-Free AUVs via Reinforcement Learning. - Luca Crociani, Andrea Gorrini, Claudio Feliciani, Giuseppe Vizzari, Katsuhiro Nishinari, Stefania Bandini:
Micro and Macro Pedestrian Dynamics in Counterflow: the Impact of Social Groups. - Haris Aziz, Barton Lee, Nimrod Talmon:
Proportionally Representative Participatory Budgeting: Axioms and Algorithms. - Tong Mo, Rong Zhang, Weiping Li, Jingbo Zhang, Zhonghai Wu, Wei Tan:
An influence-based fast preceding questionnaire model for elderly assessments. - Xiao Sun, Bin Xiao, Shuang Liang, Yichen Wei:
Integral Human Pose Regression. - Yi Zhang, Xu Sun, Yang Yang:
Does Higher Order LSTM Have Better Accuracy in Chunking and Named Entity Recognition? - Guy Tennenholtz, Constantine Caramanis, Shie Mannor:
The Stochastic Firefighter Problem. - ZhenXing Zheng, Gaoyun An, Qiuqi Ruan:
Multi-Level ResNets with Stacked SRUs for Action Recognition. - Iman Valiulahi, Sajad Daei, Farzan Haddadi, Farzad Parvaresh:
Two-Dimensional Super-Resolution via Convex Relaxation. - Yizhak Ben-Shabat
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks. - Zhihao Wu, Youfang Lin, Yiji Zhao, Hongyan Yan:
Improving local clustering based top-L link prediction methods via asymmetrical link clustering information. - Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo:
GraphGAN: Graph Representation Learning with Generative Adversarial Nets. - Jung-Su Ha, Hyeok-Joo Chae, Han-Lim Choi:
High-dimensional Motion Planning using Latent Variable Models via Approximate Inference. - Boyang Deng, Qing Liu, Siyuan Qiao, Alan L. Yuille:
Unleashing the Potential of CNNs for Interpretable Few-Shot Learning. - Zhenhua Wang, Fanglin Gu, Dani Lischinski
Neuron-level Selective Context Aggregation for Scene Segmentation. - Amin Abbasloo, Vitalis Wiens, Tobias Schmidt-Wilcke, Pia C. Sundgren, Reinhard Klein, Thomas Schultz:
Visual Analytics of Group Differences in Tensor Fields: Application to Clinical DTI. - Jakob L. Andersen, Daniel Merkle:
A Generic Framework for Engineering Graph Canonization Algorithms. - Mirko Viroli, Giorgio Audrito, Jacob Beal, Ferruccio Damiani, Danilo Pianini:
Engineering Resilient Collective Adaptive Systems by Self-Stabilisation. - Laura Bozzelli, Aniello Murano, Adriano Peron:
Event-Clock Nested Automata. - Mark Burgin:
Systems, Actors and Agents: Operation in a multicomponent environment. - Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song:
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network. - Elham Taghizadeh
Utilizing artificial neural networks to predict demand for weather-sensitive products at retail stores. - Oleg Ivanov, Sergey Bartunov:
Adaptive Cardinality Estimation. - Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause:
Learning User Preferences to Incentivize Exploration in the Sharing Economy. - Martí Sánchez-Fibla, Clément Moulin-Frier, Xerxes D. Arsiwalla, Paul F. M. J. Verschure:
A correlational analysis of multiagent sensorimotor interactions: clustering autonomous and controllable entities. - Eli David, Nathan S. Netanyahu:
DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification. - Eli David, H. Jaap van den Herik, Moshe Koppel, Nathan S. Netanyahu:
Genetic Algorithms for Evolving Computer Chess Programs. - John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu:
Allocation Problems in Ride-Sharing Platforms: Online Matching with Offline Reusable Resources. - Gian Pietro Farina, Stephen Chong, Marco Gaboardi:
Relational Symbolic Execution. - Guoqing Zheng, Yiming Yang, Jaime G. Carbonell:
Likelihood Almost Free Inference Networks. - Pichao Wang, Wanqing Li, Philip Ogunbona
RGB-D-based Human Motion Recognition with Deep Learning: A Survey. - Guang Yang, Martin Haenggi, Ming Xiao:
Traffic Allocation for Low-Latency Multi-Hop Millimeter-Wave Networks with Buffers. - Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro:
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks. - Susana Rey, Patricio Reyes, Alonso Silva:
Budget Allocation in Binary Opinion Dynamics. - Matthew M. Botvinick, David G. T. Barrett, Peter W. Battaglia, Nando de Freitas, Dharshan Kumaran, Joel Z. Leibo, Tim Lillicrap, Joseph Modayil, S. Mohamed, Neil C. Rabinowitz, Danilo Jimenez Rezende, Adam Santoro, Tom Schaul, Christopher Summerfield, Greg Wayne, Theophane Weber, Daan Wierstra, Shane Legg, Demis Hassabis:
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017. - Maciej Kula:
Mixture-of-tastes Models for Representing Users with Diverse Interests. - Iina Hellsten, Loet Leydesdorff:
Automated Analysis of Topic-Actor Networks on Twitter: New approach to the analysis of socio-semantic networks. - Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik:
Conditional Image-Text Embedding Networks. - Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogério Schmidt Feris:
BlockDrop: Dynamic Inference Paths in Residual Networks. - Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian, Corrado Moiso:
Identifying user habits through data mining on call data records. - Noman Islam, Zubair Ahmed Shaikh:
A study of research trends and issues in wireless ad hoc networks. - Sandra Scott-Hayward:
Trailing the Snail: SDN Controller Security Evolution. - Silvia Sekander, Hina Tabassum, Ekram Hossain:
Multi-tier Drone Architecture for 5G/B5G Cellular Networks: Challenges, Trends, and Prospects. - Foad Sohrabi, Wei Yu:
Hybrid Analog and Digital Beamforming for mmWave OFDM Large-Scale Antenna Arrays. - Nikhil Garg, Londa Schiebinger, Dan Jurafsky, James Zou:
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes. - Subhadip Dey
SolarisNet: A Deep Regression Network for Solar Radiation Prediction. - Benjamin Scellier, Yoshua Bengio:
Equivalence of Equilibrium Propagation and Recurrent Backpropagation. - Anna Engelmann, Admela Jukan:
A Reliability Study of Parallelized VNF Chaining. - Ryan J. Urbanowicz, Melissa Meeker, William G. La Cava, Randal S. Olson, Jason H. Moore:
Relief-Based Feature Selection: Introduction and Review. - Pedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro:
From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets. - Matthew Fahrbach, Gary L. Miller, Richard Peng, Saurabh Sawlani, Junxing Wang, Shen Chen Xu:
On Computing Min-Degree Elimination Orderings. - Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, Larry S. Davis:
VITON: An Image-based Virtual Try-on Network. - Francesco Tudisco, Francesca Arrigo, Antoine Gautier:
Node and layer eigenvector centralities for multiplex networks. - Mohamed Adel Attia, Ravi Tandon:
Combating Computational Heterogeneity in Large-Scale Distributed Computing via Work Exchange. - Samuel F. Potter, Ramani Duraiswami:
Fast and Stable Pascal Matrix Algorithms. - Elaheh Sadredini, Mohammadreza Najafi, Mahmood Fathy, Zainalabedin Navabi:
BILBO-friendly Hybrid BIST Architecture with Asymmetric Polynomial Reseeding. - Aleksander Cislak, Szymon Grabowski:
Lightweight Fingerprints for Fast Approximate Keyword Matching Using Bitwise Operations. - Ryan J. Urbanowicz, Randal S. Olson, Peter Schmitt, Melissa Meeker, Jason H. Moore:
Benchmarking Relief-Based Feature Selection Methods. - Nicholas Carlini, David A. Wagner:
MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples. - Charles Ruizhongtai Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas:
Frustum PointNets for 3D Object Detection from RGB-D Data. - Yu-An Chung, Wei-Hung Weng:
Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval. - Bing Liu, Tong Yu, Ian R. Lane, Ole J. Mengshoel:
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models. - David G. Harris:
Deterministic parallel algorithms for bilinear objective functions. - Harini Kolamunna, Kanchana Thilakarathna, Diego Perino, Dwight J. Makaroff, Aruna Seneviratne:
Seamless Resources Sharing in Wearable Networks by Application Function Virtualization. - Bolei Zhou, Alex Andonian, Antonio Torralba:
Temporal Relational Reasoning in Videos. - Dragoslav D. Siljak:
Consensus at Competitive Equilibrium: Dynamic Flow of Autonomous Cars in Traffic Networks. - Jingxuan Hou, Tae Soo Kim, Austin Reiter:
Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition. - Xide Xia, Brian Kulis:
W-Net: A Deep Model for Fully Unsupervised Image Segmentation. - Choe Un-Chol, Yun Kum-Il, Kwak Son Il:
A Study on Modeling of Inputting Electrical Power of Ultra High Power Electric Furnace by using Fuzzy Rule and Regression Model. - Úrsula Hébert-Johnson, Michael P. Kim, Omer Reingold, Guy N. Rothblum:
Calibration for the (Computationally-Identifiable) Masses. - Yonathan Murin:
k-NN Estimation of Directed Information. - Wadi' Hijawi, Hossam Faris, Ja'far Alqatawna, Ibrahim Aljarah, Ala' M. Al-Zoubi, Maria Habib:
EMFET: E-mail Features Extraction Tool. - Fabio Q. B. da Silva, Cleviton V. F. Monteiro, Igor Ebrahim dos Santos, Luiz Fernando Capretz:
How Software Development Group Leaders Influence Team Members Behavior. - Saiqa Aleem, Luiz Fernando Capretz, Faheem Ahmed:
A Digital Game Maturity Model (DGMM). - Saiqa Aleem, Luiz Fernando Capretz, Faheem Ahmed:
Game Development Software Engineering Process Life Cycle: A Systematic Review. - Marwan Darwish, Abdelkader Ouda, Luiz Fernando Capretz:
Cloud-Based Secure Authentication (CSA) Protocol Suite for Defense against DoS Attacks. - William Wang, Angelina Wang, Aviv Tamar, Xi Chen, Pieter Abbeel:
Safer Classification by Synthesis. - Riccardo Volpi, Pietro Morerio, Silvio Savarese, Vittorio Murino:
Adversarial Feature Augmentation for Unsupervised Domain Adaptation. - Longhui Wei, Shiliang Zhang, Wen Gao, Qi Tian:
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification. - Samer B. Nashed, Joydeep Biswas:
Human-in-the-Loop SLAM. - Christopher J. Tralie, Abraham D. Smith, Nathan Borggren, Jay Hineman, Paul Bendich, Peter Zulch, John Harer:
Geometric Cross-Modal Comparison of Heterogeneous Sensor Data. - Hamzeh Ghasemzadeh, Ali Payandeh, Mohammad Reza Aref:
Key management system for WSNs based on hash functions and elliptic curve cryptography. - Hamzeh Ghasemzadeh, Mohammad H. Kayvanrad:
Calibrated Audio Steganalysis. - Seyed Mohammad Seyedzadeh, Alex K. Jones, Rami G. Melhem:
Enabling Fine-Grain Restricted Coset Coding Through Word-Level Compression for PCM. - Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Thomas Mertelmeier, Julia Wicklein, Anna K. Jerebko, Sasa Grbic, Olivier Pauly, Weidong Cai, Dorin Comaniciu:
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. - Mir Rayat Imtiaz Hossain, James J. Little:
Exploiting temporal information for 3D pose estimation. - Mike Thelwall
The Research Production of Nations and Departments: A Statistical Model for the Share of Publications. - Weiyue Wang, Ronald Yu, Qiangui Huang, Ulrich Neumann:
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation. - Benjamin Eliot Klein, Lior Wolf:
In Defense of Product Quantization. - Yuhang Song, Chao Yang, Zhe Lin, Hao Li, Qin Huang, C.-C. Jay Kuo:
Image Inpainting using Multi-Scale Feature Image Translation. - Salman H. Khan, Munawar Hayat, Fatih Porikli:
Regularization of Deep Neural Networks with Spectral Dropout. - Shuai Li, Shengyu Zhang:
Online Clustering of Contextual Cascading Bandits. - Maxime Voisin, Daniel Ritchie
An Improved Training Procedure for Neural Autoregressive Data Completion. - Fengchao Zhu, Feifei Gao, Hai Lin, Shi Jin, Junhui Zhao:
Robust Beamforming for Physical Layer Security in BDMA Massive MIMO. - Siyuan Shan, Xiaoqing Guo, Wen Yan, Eric I-Chao Chang, Yubo Fan, Yan Xu:
Unsupervised End-to-end Learning for Deformable Medical Image Registration. - Seyed Mahdi Rezaeinia, Ali Ghodsi, Rouhollah Rahmani:
Improving the Accuracy of Pre-trained Word Embeddings for Sentiment Analysis. - Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft:
A Deep Relevance Matching Model for Ad-hoc Retrieval. - Bryan Wilder, Yevgeniy Vorobeychik:
Controlling Elections through Social Influence. - Xin Fan, Risheng Liu, Kang Huyan, Yuyao Feng, Zhongxuan Luo:
Self-Reinforced Cascaded Regression for Face Alignment. - Hannu Reittu, Ilkka Norros, Fülöp Bazsó:
Regular decomposition of large graphs and other structures: scalability and robustness towards missing data. - Apostolos Karadimitrakis, Aris L. Moustakas, Romain Couillet:
Gallager Bound for MIMO Channels: Large-N Asymptotics. - Jussi Ronkainen, Pekka Abrahamsson:
Software Development Under Stringent Hardware Constraints: Do Agile Methods Have a Chance? - Robin Winter, Djork-Arné Clevert:
IVE-GAN: Invariant Encoding Generative Adversarial Networks. - Xingxing Zuo, Xiaojia Xie, Yong Liu, Guoquan Huang:
Robust Visual SLAM with Point and Line Features. - Tao Hu, Julong Lan, Jianhui Zhang, Wei Zhao:
EASM: Efficiency-Aware Switch Migration for Balancing Controller Loads in Software-Defined Networking. - Shih-Han Chou, Yi-Chun Chen, Kuo-Hao Zeng, Hou-Ning Hu, Jianlong Fu, Min Sun:
Self-view Grounding Given a Narrated 360° Video. - Guhyun Kim, Vladimir Kornijcuk, Dohun Kim, Inho Kim, Jaewook Kim, Hyo Cheon Woo, Ji-Hun Kim, Cheol Seong Hwang, Doo Seok Jeong:
Markov chain Hebbian learning algorithm with ternary synaptic units. - Nicolas Audebert
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks. - Haoye Cai, Chunyan Bai, Yu-Wing Tai, Chi-Keung Tang:
Deep Video Generation, Prediction and Completion of Human Action Sequences. - Wenjie Pei, Hamdi Dibeklioglu, Tadas Baltrusaitis, David M. J. Tax:
Attended End-to-end Architecture for Age Estimation from Facial Expression Videos. - Filippo Bonchi, Dusko Pavlovic, Pawel Sobocinski:
Functorial Semantics for Relational Theories. - Luís Cruz-Filipe, Fabrizio Montesi:
That's Enough: Asynchrony with Standard Choreography Primitives. - François Dross, Pascal Ochem:
Vertex partitions of (C3, C4, C6)-free planar graphs. - Deeparnab Chakrabarty, Chaitanya Swamy:
Interpolating between k-Median and k-Center: Approximation Algorithms for Ordered k-Median. - Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper-González, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman:
Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline. - Lukas Fleischer, Manfred Kufleitner:
The Intersection Problem for Finite Monoids. - Maxime Louis, Alexandre Bône, Benjamin Charlier, Stanley Durrleman:
Parallel transport in shape analysis: a scalable numerical scheme. - Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen:
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce. - Diyah Puspitaningrum, G. Yulianti, I. S. W. B. Prasetya:
Wiki-MetaSemantik: A Wikipedia-derived Query Expansion Approach based on Network Properties. - Jesper Larsson Träff:
On Optimal Trees for Irregular Gather and Scatter Collectives. - Milan Hladík:
An Overview of Polynomially Computable Characteristics of Special Interval Matrices. - Stylianos I. Venieris, Christos-Savvas Bouganis:
fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs. - Jinsung Yoon, William R. Zame, Mihaela van der Schaar:
Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks. - Peng Cui, Xiao Wang, Jian Pei, Wenwu Zhu:
A Survey on Network Embedding. - Andrea Tagliabue, Mina Kamel, Roland Siegwart, Juan I. Nieto:
Robust Collaborative Object Transportation Using Multiple MAVs. - Ameya Prabhu, Girish Varma, Anoop M. Namboodiri:
Deep Expander Networks: Efficient Deep Networks from Graph Theory. - Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava:
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs. - Dror Sholomon, Eli David, Nathan S. Netanyahu:
DNN-Buddies: A Deep Neural Network-Based Estimation Metric for the Jigsaw Puzzle Problem. - Eli David, Nathan S. Netanyahu:
DeepPainter: Painter Classification Using Deep Convolutional Autoencoders. - Nicola Castaman, Elisa Tosello, Morris Antonello, Nicola Bagarello, Silvia Gandin, Marco Carraro, Matteo Munaro, Roberto Bortoletto, Stefano Ghidoni, Emanuele Menegatti, Enrico Pagello:
RUR53: an Unmanned Ground Vehicle for Navigation, Recognition and Manipulation. - Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai:
Region-based Quality Estimation Network for Large-scale Person Re-identification. - Mike Thelwall
Microsoft Academic: A multidisciplinary comparison of citation counts with Scopus and Mendeley for 29 journals. - Mike Thelwall
Microsoft Academic Automatic Document Searches: Accuracy for Journal Articles and Suitability for Citation Analysis. - Pengtao Xie, Jun Zhu, Eric P. Xing:
Diversity-Promoting Bayesian Learning of Latent Variable Models. - Omid Haji Maghsoudi, Andrew Spence:
3D Based Landmark Tracker Using Superpixels Based Segmentation for Neuroscience and Biomechanics Studies. - Aviv Gabbay, Asaph Shamir, Shmuel Peleg:
Visual Speech Enhancement using Noise-Invariant Training. - Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard H. Hovy:
SPINE: SParse Interpretable Neural Embeddings. - Marc Böhlen, Varun Chandola, Amol Salunkhe:
Server, server in the cloud. Who is the fairest in the crowd? - Kory W. Mathewson, Piotr Mirowski:
Improvised Comedy as a Turing Test. - Nicolas Zevallos, Rangaprasad Arun Srivatsan, Hadi Salman, Lu Li, Jianing Qian, Saumya Saxena, Mengyun Xu, Kartik Patath, Howie Choset:
A surgical system for automatic registration, stiffness mapping and dynamic image overlay. - Bao Wang, Penghang Yin, Andrea L. Bertozzi, P. Jeffrey Brantingham, Stanley J. Osher, Jack Xin:
Deep Learning for Real-Time Crime Forecasting and its Ternarization. - Pranjal Awasthi, Aravindan Vijayaraghavan:
Clustering Semi-Random Mixtures of Gaussians. - Van Chan Ngo, Quentin Carbonneaux, Jan Hoffmann:
Bounded Expectations: Resource Analysis for Probabilistic Programs. - Bugra Tekin, Sudipta N. Sinha, Pascal Fua:
Real-Time Seamless Single Shot 6D Object Pose Prediction. - Eleni Bakali:
Relating counting complexity to non-uniform probability measures. - Xiaoran Zhu, Min Zhang, Jian Guo:
Towards an executable semantics of automobile RTOS standard and its application to conformance verification. - Alessandro Achille, Matteo Rovere, Stefano Soatto:
Critical Learning Periods in Deep Neural Networks. - Aleksandar Zeljic, Peter Backeman, Christoph M. Wintersteiger, Philipp Rümmer:
Exploring Approximations for Floating-Point Arithmetic using UppSAT. - Krishna Gopal Benerjee
On Code Rates of Fractional Repetition Codes. - Kwonjoon Lee, Weijian Xu, Fan Fan, Zhuowen Tu:
Wasserstein Introspective Neural Networks. - Yao Zhai, Jingjing Fu, Yan Lu, Houqiang Li:
Feature Selective Networks for Object Detection. - Bireswar Das, Murali Krishna Enduri, I. Vinod Reddy:
On the Parallel Parameterized Complexity of the Graph Isomorphism Problem. - Indranil Chakraborty, Deboleena Roy, Kaushik Roy:
Technology Aware Training in Memristive Neuromorphic Systems based on non-ideal Synaptic Crossbars. - Woubshet Behutiye, Pertti Karhapää, Dolors Costal, Markku Oivo, Xavier Franch:
Non-functional Requirements Documentation in Agile Software Development: Challenges and Solution Proposal. - Rukhsana Ruby, Shuxin Zhong, Hailiang Yang, Kaishun Wu:
Enhanced Uplink Resource Allocation in Non-Orthogonal Multiple Access Systems. - Dang-Khoa Le Tan, Thanh-Toan Do, Ngai-Man Cheung:
Supervised Hashing with End-to-End Binary Deep Neural Network. - Shanshan Wang, Lei Zhang:
CatGAN: Coupled Adversarial Transfer for Domain Generation. - Danping Liao, Yuntao Qian:
Paper evolution graph: Multi-view structural retrieval for academic literature. - Majd Zreik, Nikolas Leßmann, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum:
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis. - Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller:
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels. - Hsuan-I Ho, Wei-Chen Chiu, Yu-Chiang Frank Wang:
For Your Eyes Only: Learning to Summarize First-Person Videos. - Elena Sikudová, Tania Pouli, Alessandro Artusi, Ahmet Oguz Akyüz, Francesco Banterle, Z. M. Mazlumoglu, Erik Reinhard:
A Gamut-Mapping Framework for Color-Accurate Reproduction of HDR Images. - Shangzhe Wu, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang:
End-to-End Deep HDR Imaging with Large Foreground Motions. - Arash Tavakoli, Fabio Pardo, Petar Kormushev:
Action Branching Architectures for Deep Reinforcement Learning. - Mohammad Hassan Lotfi, Saswati Sarkar, George Kesidis:
Is Non-Neutrality Profitable for the Stakeholders of the Internet Market? - Part II. - Cewei Cui, Zhe Dang:
Random Words in a (Weighted) Regular Language: a Free Energy Approach. - Francisco Carpio, Admela Jukan:
Improving Reliability of Service Function Chains with Combined VNF Migrations and Replications. - Yongyi Lu, Shangzhe Wu, Yu-Wing Tai, Chi-Keung Tang:
Sketch-to-Image Generation Using Deep Contextual Completion. - Long Thai, Blesson Varghese, Adam Barker:
A Survey and Taxonomy of Resource Optimisation for Executing Bag-of-Task Applications on Public Clouds. - Elaheh Sadredini, Mohammad Hashem Haghbayan, Mahmood Fathy, Zainalabedin Navabi:
Test Generation and Scheduling for a Hybrid BIST Considering Test Time and Power Constraint. - Elaheh Sadredini, Reza Rahimi, Paniz Foroutan, Mahmood Fathy, Zainalabedin Navabi:
An Improved Scheme for Pre-computed Patterns in Core-based SoC Architecture. - Yi Yu, Suhua Tang, Francisco Raposo
Deep Cross-Modal Correlation Learning for Audio and Lyrics in Music Retrieval. - Kalin Stefanov, Jonas Beskow, Giampiero Salvi:
Self-Supervised Vision-Based Detection of the Active Speaker as a Prerequisite for Socially-Aware Language Acquisition. - Laurens Versluis, Mihai Neacsu, Alexandru Iosup:
Technical Report: A Trace-Based Performance Study of Autoscaling Workloads of Workflows in Datacenters. - Pedro Oliveira Pinheiro:
Unsupervised Domain Adaptation with Similarity Learning. - Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Dense 3D Regression for Hand Pose Estimation. - Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu:
Visual Feature Attribution using Wasserstein GANs. - Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz:
Natural and Effective Obfuscation by Head Inpainting. - Atef Abdelkefi, Yuming Jiang, Sachin Sharma:
SENATUS: An Approach to Joint Traffic Anomaly Detection and Root Cause Analysis. - Shermila Ranadheera, Setareh Maghsudi, Ekram Hossain:
Mobile Edge Computation Offloading Using Game Theory and Reinforcement Learning. - Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling:
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation. - Yunjey Choi, Min-Je Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo:
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. - Sebastian Tschiatschek, Adish Singla, Manuel Gomez-Rodriguez, Arpit Merchant, Andreas Krause:
Detecting Fake News in Social Networks via Crowdsourcing. - Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty. - Rahul Saranjame, Manik Lal Das:
Image Authentication using Visual Cryptography. - Francisco M. Garcia, Bruno C. da Silva:
Identifying Reusable Macros for Efficient Exploration via Policy Compression. - Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau:
Ethical Challenges in Data-Driven Dialogue Systems. - Yeon-Geun Lim, Yae Jee Cho, Younsun Kim, Chan-Byoung Chae:
Map-based Millimeter-Wave Channel Models: An Overview, Guidelines, and Data. - Charles Hathaway, Ron Eglash, Mukkai S. Krishnamoorthy:
Interactive Complexity: Software Metrics from an Ecosystem Perspective. - Giovanni Saponaro, Lorenzo Jamone, Alexandre Bernardino, Giampiero Salvi:
Interactive Robot Learning of Gestures, Language and Affordances. - Alejandro Torreño, Eva Onaindia, Antonín Komenda, Michal Stolba:
Cooperative Multi-Agent Planning: A Survey. - Thomio Watanabe, Denis F. Wolf:
Distance to Center of Mass Encoding for Instance Segmentation. - Hongyang Gao, Shuiwang Ji:
Efficient and Invariant Convolutional Neural Networks for Dense Prediction. - Nima Monshizadeh, Pooya Monshizadeh, Romeo Ortega, Arjan van der Schaft:
Conditions on Shifted Passivity of Port-Hamiltonian Systems. - Sophie Melville, Kathryn Eccles, Taha Yasseri:
Semantic Map of Sexism: Topic Modelling of Everyday Sexism Project Entries. - Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, William T. Freeman:
Video Enhancement with Task-Oriented Flow. - Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, Luc Van Gool:
Deep Extreme Cut: From Extreme Points to Object Segmentation. - Zhongzheng Ren, Yong Jae Lee:
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery. - Jan Mrázek, Martin Jonás, Jiri Barnat:
SMT Queries Decomposition and Caching in Semi-Symbolic Model Checking. - Russell Tsuchida, Farbod Roosta-Khorasani, Marcus Gallagher:
Invariance of Weight Distributions in Rectified MLPs. - Xiao Dong, Jiasong Wu, Ling Zhou:
Demystifying AlphaGo Zero as AlphaGo GAN. - Corentin Burnay, Ivan Jureta:
What If People Learn Requirements Over Time? A Rough Introduction to Requirements Economics. - Can Kanbak, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Geometric robustness of deep networks: analysis and improvement. - Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale, Rodrigo N. Calheiros, Yogesh Simmhan, Blesson Varghese, Erol Gelenbe, Bahman Javadi, Luis Miguel Vaquero
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. - Limin Wang, Wei Li, Wen Li, Luc Van Gool:
Appearance-and-Relation Networks for Video Classification. - Tobias Sehnke, Matthias Schultalbers, Rolf Ernst:
Temporal Properties in Component-Based Cyber Physical Systems - Appendix. - Sheriffo Ceesay, Adam Barker, Blesson Varghese:
Plug and Play Bench: Simplifying Big Data Benchmarking Using Containers. - Zhuo Xu, Haonan Chang, Masayoshi Tomizuka:
Cascade Attribute Learning Network. - Krishnendu Chatterjee, Wolfgang Dvorák, Monika Henzinger, Veronika Loitzenbauer:
Lower Bounds for Symbolic Computation on Graphs: Strongly Connected Components, Liveness, Safety, and Diameter. - Janusz A. Brzozowski, Sylvie Davies:
Most Complex Deterministic Union-Free Regular Languages. - Jyoti Aneja, Aditya Deshpande, Alexander G. Schwing:
Convolutional Image Captioning. - Jason Nezvadovitz:
Observer-Side Parameter Estimation For Adaptive Control. - Thibaut Stimpfling, Normand Bélanger, J. M. Pierre Langlois, Yvon Savaria:
SHIP: A Scalable High-performance IPv6 Lookup Algorithm that Exploits Prefix Characteristics. - Brijnesh J. Jain:
Warped-Linear Models for Time Series Classification. - Yoji Yamato, Naoto Hoshikawa, Hirofumi Noguchi, Tatsuya Demizu, Misao Kataoka:
A Study to Optimize Heterogeneous Resources for Open IoT. - Tom Kocmi, Ondrej Bojar:
An Exploration of Word Embedding Initialization in Deep-Learning Tasks. - Ershad Banijamali, Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi:
JADE: Joint Autoencoders for Dis-Entanglement. - Ershad Banijamali, Ahmad Khajenezhad, Ali Ghodsi, Mohammad Ghavamzadeh:
Disentangling Dynamics and Content for Control and Planning. - Sankhanil Dey, Ranjan Ghosh:
4, 8, 32, 64 bit Substitution Box generation using Irreducible or Reducible Polynomials over Galois Field GF(p^q) for Smart Applications. - Marc Gorriz, Axel Carlier, Emmanuel Faure, Xavier Giró-i-Nieto:
Cost-Effective Active Learning for Melanoma Segmentation. - Mingzhe Chen, Walid Saad, Changchuan Yin, Mérouane Debbah:
Echo State Transfer Learning for Data Correlation Aware Resource Allocation in Wireless Virtual Reality. - Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary:
Neural Ranking Models with Multiple Document Fields. - Sherif Abdulatif, Fady Aziz, Bernhard Kleiner, Urs Schneider:
Real-Time Capable Micro-Doppler Signature Decomposition of Walking Human Limbs. - Mark Braverman, Jieming Mao, Jon Schneider, S. Matthew Weinberg:
Selling to a No-Regret Buyer. - Sherif Abdulatif, Qian Wei, Fady Aziz, Bernhard Kleiner, Urs Schneider:
Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches. - Siyuan Zhao, Zhiwei Xu, Limin Liu, Mengjie Guo:
Towards Accurate Deceptive Opinion Spam Detection based on Word Order-preserving CNN. - Waseem Akram, Muaz A. Niazi:
A Formal Specification Framework for Smart Grid Components. - Xinyang Deng, Wen Jiang:
D numbers theory based game-theoretic framework in adversarial decision making under fuzzy environment. - Lijun Chang:
A Near-optimal Algorithm for Edge Connectivity-based Hierarchical Graph Decomposition. - Siyang Li, Xiangxin Zhu, Qin Huang, Hao Xu, C.-C. Jay Kuo:
Multiple Instance Curriculum Learning for Weakly Supervised Object Detection. - Mohammad Hosseini, Richard R. Berlin, Lui Sha, Axel Terfloth, Houbing Song:
Communication and Synchronization of Distributed Medical Models: Design, Development, and Performance Analysis. - Attila Egri-Nagy:
Declarativeness: the work done by something else. - Sherif Abdulatif, Bernhard Kleiner, Fady Aziz, Christopher Riehs, Rory A. Cooper, Urs Schneider:
Stairs Detection for Enhancing Wheelchair Capabilities Based on Radar Sensors. - Wenjing Zhao, Gongpu Wang, Saman Atapattu, Chintha Tellambura:
Outage Analysis of Ambient Backscatter Communication Systems. - Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd:
Fitting Jump Models. - Ivano Notarnicola, Giuseppe Notarstefano:
Constraint Coupled Distributed Optimization: Relaxation and Duality Approach. - Pranav Rajpurkar, Vinaya Polamreddi, Anusha Balakrishnan:
Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning. - Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger:
CondenseNet: An Efficient DenseNet using Learned Group Convolutions. - Wenqi Zhang, Tao Gui, Qun Zhang, Chao Lu, Tanya M. Monro, Terence H. Chan, Alan Pak Tao Lau, Shahraam Afshar V:
Correlated Eigenvalues Optical Communications. - Adam Krasuski, Karol Krenski:
A-Evac: the evacuation simulator for stochastic environment. - Ali Tarzan, Marco Alunno, Paolo Bientinesi:
Assessment of sound spatialisation algorithms for sonic rendering with headsets. - Jinqiao Wang, Ming Tang, Linyu Zheng, Jiayi Feng:
On the Relations of Correlation Filter Based Trackers and Struck. - Rishabh Dabral, Anurag Mundhada, Uday Kusupati, Safeer Afaque, Arjun Jain:
Structure-Aware and Temporally Coherent 3D Human Pose Estimation. - Jinsei Shima, Mitsuo Yoshida, Kyoji Umemura:
When Do Users Change Their Profile Information on Twitter? - Atchutananda Surampudi, Krishnamoorthy Kalimuthu:
An Energy Efficient Spectrum Sensing in Cognitive Radio Wireless Sensor Networks. - Benjamin Paaßen, Alexander Schulz, Janne Hahne, Barbara Hammer
Expectation maximization transfer learning and its application for bionic hand prostheses. - Bernhard Haeupler, Jeet Mohapatra, Hsin-Hao Su:
Optimal Gossip Algorithms for Exact and Approximate Quantile Computations. - Vassilis Prevelakis, Sotiris Ioannidis, Panagiotis Papadopoulos, Zacharias Tzermias:
Privacy Risks from Public Data Sources. - P. Renjith, N. Sadagopan:
Hamiltonian Path in Split Graphs- a Dichotomy. - Runsheng Yu, Zhenyu Shi, Laiyun Qing:
Unsupervised Learning aids Prediction: Using Future Representation Learning Variantial Autoencoder for Human Action Prediction. - Aditya Thakker, Suhail Barot, Sudhir Bagul:
Acronym Expansion: A Domain Independent Approach. - Anand Gupta, Hardeo Kumar Thakur, Ritvik Shrivastava, Pulkit Kumar, Sreyashi Nag:
A Big Data Analysis Framework Using Apache Spark and Deep Learning. - Siyuan Qiao, Zhishuai Zhang, Wei Shen, Bo Wang, Alan L. Yuille:
Gradually Updated Neural Networks for Large-Scale Image Recognition. - Milod Kazerounian, Niki Vazou, Austin Bourgerie, Jeffrey S. Foster, Emina Torlak:
Refinement Types for Ruby. - Samira Abnar, Rasyan Ahmed, Max Mijnheer, Willem H. Zuidema:
Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity. - Antal Spector-Zabusky, Joachim Breitner, Christine Rizkallah, Stephanie Weirich:
Total Haskell is Reasonable Coq. - Julien Richard-Foy, Wojciech Pitula:
Modular Remote Communication Protocol Interpreters. - Jiankang Zhang, Sheng Chen, Robert G. Maunder, Rong Zhang, Lajos Hanzo:
Adaptive Coding and Modulation for Large-Scale Antenna Array Based Aeronautical Communications in the Presence of Co-channel Interference. - Pengtao Xie, Hongbao Zhang, Eric P. Xing:
Learning Less-Overlapping Representations. - David Darais, Chang Liu, Ian Sweet, Michael Hicks:
A Language for Probabilistically Oblivious Computation. - Vassilis N. Ioannidis, Daniel Romero, Georgios B. Giannakis:
Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel Kriged Kalman Filtering. - Elia Merzari, Aleksandr Obabko, Paul F. Fischer:
Spectral Element Methods for Liquid Metal Reactors Applications. - Lingjing Wang, Yi Fang:
Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning. - Jameson Tyler Merkow, Robert B. Lufkin, Kim Nguyen, Stefano Soatto, Zhuowen Tu, Andrea Vedaldi:
DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images. - Anastasia Mavridou, Aron Laszka:
Designing Secure Ethereum Smart Contracts: A Finite State Machine Based Approach. - Pramuditha Perera, Mahdi Abavisani, Vishal M. Patel:
In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks. - Jianhua Yang, Yun-Qing Shi, Edward K. Wong, Xiangui Kang:
JPEG Steganalysis Based on DenseNet. - Donghan Yu, Yong Li, Fengli Xu, Pengyu Zhang, Vassilis Kostakos:
Smartphone App Usage Prediction Using Points of Interest. - Pengpeng Liu, Xiaojuan Qi, Pinjia He, Yikang Li, Michael R. Lyu, Irwin King:
Semantically Consistent Image Completion with Fine-grained Details. - Xi Zhang, Siyu Zhou, Jiashi Feng, Hanjiang Lai, Bo Li, Yan Pan, Jian Yin, Shuicheng Yan:
HashGAN: Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval. - Yifan Sun, Liang Zheng, Yi Yang, Qi Tian, Shengjin Wang:
Beyond Part Models: Person Retrieval with Refined Part Pooling. - Hisashi Shimodaira:
Automatic Color Image Segmentation Using a Square Elemental Region-Based Seeded Region Growing and Merging Method. - Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li:
Generative Adversarial Network for Abstractive Text Summarization. - Qiang Chen, Yunhong Wang, Zheng Liu, Qingjie Liu, Di Huang:
Feature Map Pooling for Cross-View Gait Recognition Based on Silhouette Sequence Images. - Alexios Balatsoukas-Stimming, Athanasios P. Liavas:
Design of LDPC Codes for the Unequal Power Two-User Gaussian Multiple Access Channel. - Saahil Ognawala, Thomas Hutzelmann, Eirini Psallida, Alexander Pretschner:
Improving Function Coverage with Munch: A Hybrid Fuzzing and Directed Symbolic Execution Approach. - Zhaopeng Tu, Yang Liu, Shuming Shi, Tong Zhang:
Learning to Remember Translation History with a Continuous Cache. - Siyu Zhou, Weiqiang Zhao, Jiashi Feng, Hanjiang Lai, Yan Pan, Jian Yin, Shuicheng Yan:
Personalized and Occupational-aware Age Progression by Generative Adversarial Networks. - Alfonso L. Castaño, Javier Cuenca, Domingo Giménez, Jose-Juan López-Espín, Alberto Pérez-Bernabeu:
Obtaining the coefficients of a Vector Autoregression Model through minimization of parameter criteria. - Alfonso Baños, Miguel A. Davó, Cristian D. Cánovas:
On the robustness of hybrid control systems to measurement noise and actuator disturbances. - Shiva Alemzadeh, Tommy Hielscher, Uli Niemann, Lena Cibulski, Till Ittermann, Henry Völzke, Myra Spiliopoulou, Bernhard Preim:
Visual Subpopulation Discovery and Validation in Cohort Study Data. - Harry Lang:
Online Facility Location on Semi-Random Streams. - Ashwin R. Jadhav, T. Shankar:
Whale Optimization Based Energy-Efficient Cluster Head Selection Algorithm for Wireless Sensor Networks. - Igor Melnyk, Cícero Nogueira dos Santos, Kahini Wadhawan, Inkit Padhi, Abhishek Kumar:
Improved Neural Text Attribute Transfer with Non-parallel Data. - Ehsan Shojaedini, Mahshid Majd, Reza Safabakhsh:
Novel Adaptive Genetic Algorithm Sample Consensus. - Elham Taghizadeh
A Multi Objective Reliable Location-Inventory Capacitated Disruption Facility Problem with Penalty Cost Solve with Efficient Meta Historic Algorithms. - Long Ouyang, Michael C. Frank:
Pedagogical Learning. - Andrew Slavin Ross, Finale Doshi-Velez:
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients. - Lei Liu, Zongxu Pan, Bin Lei:
Learning a Rotation Invariant Detector with Rotatable Bounding Box. - Jonathan J. H. Zhu, Hexin Chen, Tai-Quan Peng, Xiao Fan Liu, Haixing Dai:
How to Measure Sessions of Mobile Device Use? Quantification, Evaluation, and Applications. - Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu:
BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder. - Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv:
BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion. - Boyu Liu, Yanzhao Wang, Yu-Wing Tai, Chi-Keung Tang:
MAVOT: Memory-Augmented Video Object Tracking. - Irit Dinur, Yuval Filmus, Prahladh Harsha:
Agreement tests on graphs and hypergraphs. - Irit Dinur, Yuval Filmus, Prahladh Harsha:
Low degree almost Boolean functions are sparse juntas. - James Pritts, Denys Rozumnyi, M. Pawan Kumar, Ondrej Chum:
Coplanar Repeats by Energy Minimization. - Bice Cavallo, Matteo Brunelli:
A general unified framework for interval pairwise comparison matrices. - Harrie Oosterhuis, Maarten de Rijke:
Balancing Speed and Quality in Online Learning to Rank for Information Retrieval. - Alkiviadis G. Akritas, Gennadi I. Malaschonok:
Computation of the Adjoint Matrix. - Gennadi I. Malaschonok:
Solution of a System of Linear Equations in an Integral Ring. - Chang-Sik Choi, François Baccelli:
An Analytical Framework for Coverage in Cellular Networks Leveraging Vehicles. - Harrie Oosterhuis, Maarten de Rijke:
Sensitive and Scalable Online Evaluation with Theoretical Guarantees. - Gennadi I. Malaschonok:
Effective Matrix Methods in Commutative Domains. - Lior Eldar, Saeed Mehraban:
Approximating the Permanent of a Random Matrix with Vanishing Mean. - Iuliia Kotseruba, John K. Tsotsos:
STAR-RT: Visual attention for real-time video game playing. - (Withdrawn) Point of Interest Recommendation Methods in Location Based Social Networks: Traveling to a new geographical region.
- Malek Jebabli, Hocine Cherifi, Chantal Cherifi, Atef Hamouda:
Community detection algorithm evaluation with ground-truth data. - Diego Moussallem, Matthias Wauer, Axel-Cyrille Ngonga Ngomo:
Machine Translation Using Semantic Web Technologies: A Survey. - Xin Wang, Fisher Yu, Zi-Yi Dou, Joseph E. Gonzalez:
SkipNet: Learning Dynamic Routing in Convolutional Networks. - Namrata Vaswani, Thierry Bouwmans, Sajid Javed, Praneeth Narayanamurthy:
Robust PCA and Robust Subspace Tracking. - Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani:
Skip-Sliding Window Codes. - Binh Van Nguyen, Hyoyoung Jung, Dongsoo Har, Kiseon Kim:
Performance Analysis of a Cognitive Radio Network with an Energy Harvesting Secondary Transmitter under Nakagami-m Fading. - Liyuan Pan, Yuchao Dai, Miaomiao Liu, Fatih Porikli:
Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps. - Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, Zhaopeng Tu:
Modeling Past and Future for Neural Machine Translation. - Ryota Hinami, Shin'ichi Satoh:
Query-Adaptive R-CNN for Open-Vocabulary Object Detection and Retrieval. - Guangfeng Lin, Yajun Chen, Fan Zhao:
Structure propagation for zero-shot learning. - Lingxiao Wang, Yali Li, Shengjin Wang:
DeepDeblur: Fast one-step blurry face images restoration. - Rana Soltani-Zarrin, Amin Zeiaee, Reza Langari, Reza Tafreshi:
Challenges and Opportunities in Exoskeleton-based Rehabilitation. - Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak:
Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams. - Ziang Xie:
Neural Text Generation: A Practical Guide. - Qiao Liu, Zhenyu He, Hongzhi Wang, Xin Li:
Hierarchical Siamese Network for Thermal Infrared Object Tracking. - Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu:
TIMERS: Error-Bounded SVD Restart on Dynamic Networks. - Ning Gao, Zhang Liu, Dirk Grunwald:
DTranx: A SEDA-based Distributed and Transactional Key Value Store with Persistent Memory Log. - Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu, Shilei Wen:
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification. - Thanh-Toan Do, Victor Pomponiu, Yiren Zhou, Tuan Hoang, Zhao Chen, Ngai-Man Cheung, Dawn Chin-Ing Koh, Aaron Tan, Suat-Hoon Tan:
Accessible Melanoma Detection using Smartphones and Mobile Image Analysis. - Chao Wang, Haiyong Zheng, Zhibin Yu, Ziqiang Zheng, Zhaorui Gu, Bing Zheng:
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation. - Xiaohui Xie, Yiqun Liu, Maarten de Rijke, Jiyin He, Min Zhang, Shaoping Ma:
Why People Search for Images using Web Search Engines. - Emad Barsoum, John R. Kender, Zicheng Liu:
HP-GAN: Probabilistic 3D human motion prediction via GAN. - Boris Bacic, Patria Hume:
Computational intelligence for qualitative coaching diagnostics: Automated assessment of tennis swings to improve performance and safety. - Girish Raguvir J, Rahul Ramesh, Sachin Sridhar, Vignesh Manoharan:
AUPCR Maximizing Matchings : Towards a Pragmatic Notion of Optimality for One-Sided Preference Matchings. - José Horta, Daniel Kofman, David Menga, Alonso Silva:
Novel market approach for locally balancing renewable energy production and flexible demand. - Jian Li, Yue Wang, Irwin King, Michael R. Lyu:
Code Completion with Neural Attention and Pointer Networks. - Gail Weiss
Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples. - Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh:
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? - Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li:
Joint Cuts and Matching of Partitions in One Graph. - Anna Minaeva, Premysl Sucha, Benny Akesson, Zdenek Hanzálek:
Scalable and Efficient Configuration of Time-Division Multiplexed Resources. - Anna Becchi, Enea Zaffanella:
A Conversion Procedure for NNC Polyhedra. - Alan Lukezic, Luka Cehovin Zajc, Tomás Vojír, Jiri Matas, Matej Kristan:
FCLT - A Fully-Correlational Long-Term Tracker. - Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars:
Memory Aware Synapses: Learning what (not) to forget. - Aniruddh Raghu, Matthieu Komorowski, Imran Ahmed, Leo A. Celi, Peter Szolovits, Marzyeh Ghassemi:
Deep Reinforcement Learning for Sepsis Treatment. - Muhayyuddin, Mark Moll, Lydia E. Kavraki, Jan Rosell:
Randomized Physics-based Motion Planning for Grasping in Cluttered and Uncertain Environments. - Katsunori Ohnishi, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada:
Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture. - Thomas Ehrhard, Michele Pagani
Measurable Cones and Stable, Measurable Functions. - Stefanos Angelidis, Mirella Lapata:
Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis. - Suresh Kirthi Kumaraswamy, P. S. Sastry, K. R. Ramakrishnan:
Transfer Learning in CNNs Using Filter-Trees. - Mahdi Boloursaz Mashhadi, Saeed Gazor, Nazanin Rahnavard, Farokh Marvasti:
Feedback Acquisition and Reconstruction of Spectrum-Sparse Signals by Predictive Level Comparisons. - Ido Cohen, Eli David, Nathan S. Netanyahu, Noa Liscovitch, Gal Chechik:
DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders. - Ishai Rosenberg, Guillaume Sicard, Eli David:
DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks. - Eli David, Nathan S. Netanyahu, Lior Wolf:
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess. - Christian Reul, Uwe Springmann, Christoph Wick, Frank Puppe:
Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting. - Young Joon Yoo, Seonguk Park, Junyoung Choi, Sangdoo Yun, Nojun Kwak:
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation. - Aniruddha Tammewar, Monik Pamecha, Chirag Jain, Apurva Nagvenkar, Krupal Modi:
Production Ready Chatbots: Generate if not Retrieve. - Zaid Allybokus, Konstantin Avrachenkov, Jérémie Leguay, Lorenzo Maggi:
Real-Time Fair Resource Allocation in Distributed Software Defined Networks. - Rudy Arthur, Hywel T. P. Williams:
Scaling laws in geo-located Twitter data. - David P. Chassin:
Multi-scale Transactive Control In Interconnected Bulk Power Systems Under High Renewable Energy Supply and High Demand Response Scenarios. - Marta Arias, Argimiro Arratia, Ariel Duarte-López:
Classifier Selection with Permutation Tests. - Tristan Glatard, Gregory Kiar, Tristan Aumentado-Armstrong, Natacha Beck, Pierre Bellec, Rémi Bernard, Axel Bonnet, Sorina Camarasu-Pop, Frédéric Cervenansky, Samir Das, Rafael Ferreira da Silva, Guillaume Flandin, Pascal Girard, Krzysztof J. Gorgolewski, Charles R. G. Guttmann, Valérie Hayot-Sasson, Pierre-Olivier Quirion, Pierre Rioux, Marc-Etienne Rousseau, Alan C. Evans:
Boutiques: a flexible framework for automated application integration in computing platforms. - Giampiero Salvi, Luis Montesano, Alexandre Bernardino, José Santos-Victor:
Language Bootstrapping: Learning Word Meanings From Perception-Action Association. - Zhenhua Zhang, Lei Lin, Lei Zhu, Anuj Sharma:
Bi-National Delay Pattern Analysis For Commercial and Passenger Vehicles at Niagara Frontier Border. - Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
Table-to-text Generation by Structure-aware Seq2seq Learning. - Tobias Roß, David Zimmerer, Anant Suraj Vemuri, Fabian Isensee, Sebastian Bodenstedt, Fabian Both, Philip Kessler, Martin Wagner, Beat Müller, Hannes Kenngott, Stefanie Speidel, Klaus H. Maier-Hein, Lena Maier-Hein:
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning. - Md. Naimul Hoque, Rawshan E. Fatima, Manash Kumar Mandal, Nazmus Saquib:
Evaluating gender portrayal in Bangladeshi TV. - Douglas Teodoro, Nils Rotgans, Lucas Oliveira, Lilian Correia:
Design of an Integrated Analytics Platform for Healthcare Assessment Centered on the Episode of Care. - Sérgio Miranda Freire, Luciana Tricai Cavalini, Douglas Teodoro, Erik Sundvall:
Archetypes for Representing Data about the Brazilian Public Hospital Information System and Outpatient High Complexity Procedures System. - Dhanasekar Sundararaman, Nabarun Pal, Aashish Kumar Misraa:
An analysis of non-immigrant work visas in the USA using Machine Learning. - A. Jabeena, Animesh Kumar Sahu, Rohit Roy, N. Sardar Basha:
Automatic Pill Reminder for Easy Supervision. - Bart Jacobs, Abraham Westerbaan:
Distances between States and between Predicates. - Clemente Rubio-Manzano, Tomás Lermanda Senoceaín:
How linguistic descriptions of data can help to the teaching-learning process in higher education, case of study: artificial intelligence. - Hung Cao
An edge-fog-cloud platform for anticipatory learning process designed for Internet of Mobile Things. - Alberto Perez Veiga:
Hyper Converged Infrastructures: Beyond virtualization. - José Rafael Cortés León, Ricardo Francisco Martínez-González, Anilú Miranda Medina, Luis Alberto Peralta-Pelaez:
Raspberry Pi and Arduino Uno Working together as a Basic Meteorological Station. - Adán Sánchez de Pedro Crespo
Witnet: A Decentralized Oracle Network Protocol. - Andrea Pinna, Simona Ibba:
A blockchain-based Decentralized System for proper handling of temporary Employment contracts. - Yehia Abd Alrahman, Rocco De Nicola, Michele Loreti:
A Behavioural Theory for Interactions in Collective-Adaptive Systems. - Matan Sela, Pingmei Xu, Junfeng He, Vidhya Navalpakkam, Dmitry Lagun:
GazeGAN - Unpaired Adversarial Image Generation for Gaze Estimation. - Christian Lameiro, Ignacio Santamaría, Peter J. Schreier:
Improper Gaussian signaling for multiple-access channels in underlay cognitive radio. - Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein:
PhasePack User Guide. - Bharath Bhushan Damodaran, Nicolas Courty, Philippe-Henri Gosselin:
Data Dependent Kernel Approximation using Pseudo Random Fourier Features. - Nicholas Frosst, Geoffrey E. Hinton:
Distilling a Neural Network Into a Soft Decision Tree. - Ashkan Tousimojarad, Wim Vanderbauwhede, W. Paul Cockshott:
2D Image Convolution using Three Parallel Programming Models on the Xeon Phi. - Matthias Geihs, Oleg Nikiforov, Denise Demirel, Alexander Sauer, Denis Butin, Felix Günther, Gernot Alber, Thomas Walther, Johannes Buchmann:
The Status of Quantum-Based Long-Term Secure Communication over the Internet. - Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao:
Opinion influence and evolution in social networks: a Markovian agents model. - Matthias Geihs, Nikolaos P. Karvelas, Stefan Katzenbeisser, Johannes Buchmann:
PRoPyLA: Privacy Preserving Long-Term Secure Storage. - Aayush Garg, Thilo Will, William Darling, Willi Richert, Clemens Marschner:
Scalable Object Detection for Stylized Objects. - Xuan-Son Vu, Lucie Flekova, Lili Jiang, Iryna Gurevych:
Lexical-semantic resources: yet powerful resources for automatic personality classification. - Andreas Veit, Maximilian Nickel, Serge J. Belongie, Laurens van der Maaten:
Separating Self-Expression and Visual Content in Hashtag Supervision. - Max Jaderberg, Valentin Dalibard, Simon Osindero, Wojciech M. Czarnecki, Jeff Donahue, Ali Razavi, Oriol Vinyals, Tim Green
Population Based Training of Neural Networks. - Anurag Arnab, Ondrej Miksik, Philip H. S. Torr:
On the Robustness of Semantic Segmentation Models to Adversarial Attacks. - Sankardeep Chakraborty, Anish Mukherjee, Venkatesh Raman, Srinivasa Rao Satti:
Frameworks for Designing In-place Graph Algorithms. - Anthony J. Yezzi, Ganesh Sundaramoorthi:
Accelerated Optimization in the PDE Framework: Formulations for the Active Contour Case. - Loïc Landrieu, Martin Simonovsky:
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs. - Eirini Kalogeiton, Thomas Kolonko, Torsten Braun:
A topology-oblivious routing protocol for NDN-VANETs. - Zhongliang Li, Raymond Kulhanek, Shaojun Wang, Yunxin Zhao, Shuang Wu:
Slim Embedding Layers for Recurrent Neural Language Models. - Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine:
Divide-and-Conquer Reinforcement Learning. - Jan Leike, Miljan Martic, Victoria Krakovna, Pedro A. Ortega, Tom Everitt, Andrew Lefrancq, Laurent Orseau, Shane Legg:
AI Safety Gridworlds. - Gerrit Ansmann:
Efficiently and easily integrating differential equations with JiTCODE, JiTCDDE, and JiTCSDE. - Jian Du, Soummya Kar
Distributed Convergence Verification for Gaussian Belief Propagation. - Jooyeon Kim, Behzad Tabibian, Alice Oh, Bernhard Schölkopf, Manuel Gomez-Rodriguez:
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation. - Lorenzo Clemente, Richard Mayr:
Efficient reduction of nondeterministic automata with application to language inclusion testing. - Ziga Emersic, Dejan Stepec, Vitomir Struc, Peter Peer:
Training Convolutional Neural Networks with Limited Training Data for Ear Recognition in the Wild. - Juan C. Quiroz, Amit Banerjee, Sushil J. Louis, Sergiu M. Dascalu:
Collaborative Evolution of 3D Models. - Vaneet Aggarwal, Maotong Xu, Tian Lan, Suresh Subramaniam:
On the Optimality of Scheduling Dependent MapReduce Tasks on Heterogeneous Machines. - Marwan Darwish, Abdelkader Ouda, Luiz Fernando Capretz:
Formal Analysis of an Authentication Protocol Against External Cloud-Based Denial-of-Service (DoS) Attack. - Yingbo Hua, Qiping Zhu, Reza Sohrabi:
Fundamental Properties of Full-Duplex Radio for Secure Wireless Communications. - Dhanasekar Sundararaman, Priya Arora, Vishwanath Seshagiri:
TweetIT- Analyzing Topics for Twitter Users to garner Maximum Attention. - Wadim Kehl, Fabian Manhardt, Federico Tombari, Slobodan Ilic, Nassir Navab:
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again. - Jacob D. Abernethy, Chansoo Lee, Audra McMillan, Ambuj Tewari:
Online Learning via Differential Privacy. - Idelfonso Izquierdo-Marquez, Jose Torres-Jimenez:
New Covering Array Numbers. - Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David L. Donoho, John M. Pauly:
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery. - Nadisanka Rupasinghe, Yavuz Yapici, Ismail Güvenç, Yuichi Kakishima:
Non-Orthogonal Multiple Access for mmWave Drones with Multi-Antenna Transmission. - Xue Chen, Eric Price:
Condition number-free query and active learning of linear families. - Sumeet Singh, Jonathan Lacotte, Anirudha Majumdar, Marco Pavone:
Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods. - Thomas Gebhart, Paul Schrater:
Adversary Detection in Neural Networks via Persistent Homology. - Amir Sadeghian, Ferdinand Legros, Maxime Voisin, Ricky Vesel, Alexandre Alahi, Silvio Savarese:
CAR-Net: Clairvoyant Attentive Recurrent Network. - Kun Wang, Louay M. A. Jalloul, Ahmad Gomaa:
Phase Noise Compensation with Limited Reference Symbols. - Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Jiashi Feng, Shuicheng Yan:
WSNet: Compact and Efficient Networks with Weight Sampling. - Di Yuan, Donghao Li, Zhenyu He, Xinming Zhang:
Particle Filter Re-detection for Visual Tracking via Correlation Filters. - Ugo Dal Lago, Beniamino Accattoli:
Encoding Turing Machines into the Deterministic Lambda-Calculus. - Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Towards Provably Invisible Network Flow Fingerprints. - Chun Fui Liew, Danielle DeLatte, Naoya Takeishi, Takehisa Yairi:
Recent Developments in Aerial Robotics: A Survey and Prototypes Overview. - Mahdi Belbasi, Martin Fürer:
Saving Space by Dynamic Algebraization Based on Tree Decomposition: Minimum Dominating Set. - Mirza Golam Kibria, Kien Nguyen, Gabriel Porto Villardi, Kentaro Ishizu, Fumihide Kojima:
Big Data Analytics and Artificial Intelligence in Next-Generation Wireless Networks. - Jherez Taylor, Melvyn Peignon, Yi-Shin Chen:
Surfacing contextual hate speech words within social media. - Rui Qian, Robby T. Tan, Wenhan Yang, Jiajun Su, Jiaying Liu:
Attentive Generative Adversarial Network for Raindrop Removal from a Single Image. - Zhi Cao, Honggang Zhang, Benyuan Liu, Bo Sheng:
A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System. - Qiangchang Wang, Guodong Guo, Mohammad Iqbal Nouyed:
Learning Channel Inter-dependencies at Multiple Scales on Dense Networks for Face Recognition. - Kasturi Vasudevan:
Near Capacity Signaling over Fading Channels using Coherent Turbo Coded OFDM and Massive MIMO. - Mengwei Ren, Liang Niu, Yi Fang:
3D-A-Nets: 3D Deep Dense Descriptor for Volumetric Shapes with Adversarial Networks. - Hao Ge:
A Parameter-Free Learning Automaton Scheme. - Oswaldo Ludwig:
End-to-end Adversarial Learning for Generative Conversational Agents. - Jaehee Jang, Byunggook Na, Sungroh Yoon:
Homomorphic Parameter Compression for Distributed Deep Learning Training. - Phuong Le-Hong, Thai-Hoang Pham, Xuan-Khoai Pham, Thi Minh Huyen Nguyen, Luong Thi Nguyen, Hiep Minh Nguyen:
Vietnamese Semantic Role Labelling. - Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira:
Learning to cluster in order to Transfer across domains and tasks. - Lingfei Wu, Fei Xue, Andreas Stathopoulos:
TRPL+K: Thick-Restart Preconditioned Lanczos+K Method for Large Symmetric Eigenvalue Problems. - Shan Suthaharan:
A fatal point concept and a low-sensitivity quantitative measure for traffic safety analytics. - Cheng-Tao Chung, Lin-Shan Lee:
Unsupervised Discovery of Structured Acoustic Tokens with Applications to Spoken Term Detection. - Darko Brodic, Alessia Amelio:
Self-Organizing Maps Classification with Application to Laptop's Adapters Magnetic Field. - Jinyu Li, Guoli Ye, Rui Zhao, Jasha Droppo, Yifan Gong:
Acoustic-To-Word Model Without OOV. - Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford:
One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay. - Kenji Matsui, Toru Tamaki, Gwladys Auffret, Bisser Raytchev, Kazufumi Kaneda:
Revisiting hand-crafted feature for action recognition: a set of improved dense trajectories. - Makrand Sinha:
Lower Bounds for Approximating the Matching Polytope. - Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu:
Structural Deep Embedding for Hyper-Networks. - Lane McIntosh, David Sussillo, Niru Maheswaranathan, Jonathon Shlens:
Recurrent Segmentation for Variable Computational Budgets. - Haoxuan You, Zhicheng Jiao
Restricting Greed in Training of Generative Adversarial Network. - Can Mehteroglu, Yunus Durmus, Ertan Onur:
A Framework for Semantic In-network Caching and Prefetching in 5G Mobile Networks. - Gregory Schwartzman:
Adapting Sequential Algorithms to the Distributed Setting. - Utako Yamamoto, Megumi Nakao, Masayuki Ohzeki, Tetsuya Matsuda:
Deformation estimation of an elastic object by partial observation using a neural network. - Kostas Alexis:
Aerial Drop of Robots and Sensors for Optimal Area Coverage. - Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, Christopher Ré:
Snorkel: Rapid Training Data Creation with Weak Supervision. - Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang:
Topological Recurrent Neural Network for Diffusion Prediction. - Xuancheng Ren, Xu Sun:
Hybrid Oracle: Making Use of Ambiguity in Transition-based Chinese Dependency Parsing. - Abhinav Mehrotra, Mirco Musolesi:
Intelligent Notification Systems: A Survey of the State of the Art and Research Challenges. - János Tapolcai:
Digital Encyclopedia of Scientific Results. - Takayuki Osa, Masashi Sugiyama:
Hierarchical Policy Search via Return-Weighted Density Estimation. - Gleb Posobin:
Computing majority with low-fan-in majority queries. - Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov:
Gradual Tuning: a better way of Fine Tuning the parameters of a Deep Neural Network. - Fannv He, Yuqing Zhang, Huizheng Liu:
A Novel Approach for Security Situational Awareness in the Internet of Things. - Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov:
Hyper-dimensional computing for a visual question-answering system that is trainable end-to-end. - George Papazafeiropoulos, Miguel Muñiz-Calvente, Emilio Martínez-Pañeda
Abaqus2Matlab: A suitable tool for finite element post-processing. - Shuo Chen, Rongxing Lu, Jie Zhang:
An Efficient Fog-Assisted Unstable Sensor Detection Scheme with Privacy Preserved. - Edan Habler, Asaf Shabtai:
Using LSTM Encoder-Decoder Algorithm for Detecting Anomalous ADS-B Messages. - Luís Cruz-Filipe, Fabrizio Montesi, Marco Peressotti:
Communications in Choreographies, Revisited. - Dieuwke Hupkes, Sara Veldhoen, Willem H. Zuidema:
Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure. - Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov:
Block Neural Network Avoids Catastrophic Forgetting When Learning Multiple Task. - Álvaro Parra Bustos, Tat-Jun Chin:
Guaranteed Outlier Removal for Point Cloud Registration with Correspondences. - Guodong Zeng, Guoyan Zheng:
Multi-stream 3D FCN with Multi-scale Deep Supervision for Multi-modality Isointense Infant Brain MR Image Segmentation. - Mathias Ruggaard Pedersen, Nathanaël Fijalkow, Giorgio Bacci, Kim Guldstrand Larsen, Radu Mardare:
Timed Comparisons of Semi-Markov Processes. - Ran Tao, Efstratios Gavves, Arnold W. M. Smeulders:
Tracking for Half an Hour. - Hossein Akhlaghpasand, Seyed Mohammad Razavizadeh, Emil Björnson, Tan Tai Do:
Jamming Detection in Massive MIMO Systems. - Dana Fisman, Swen Jacobs:
Proceedings Sixth Workshop on Synthesis, SYNT@CAV 2017, Heidelberg, Germany, 22nd July 2017. EPTCS 260, 2017 [contents] - Bireswar Das, Murali Krishna Enduri, Neeldhara Misra, I. Vinod Reddy:
On Structural Parameterizations of Firefighting. - Eric Brachmann, Carsten Rother:
Learning Less is More - 6D Camera Localization via 3D Surface Regression. - Tomasz Brengos, Marco Peressotti
A Uniform Framework for Timed Automata and Beyond. - Nawal Benabbou, Mithun Chakraborty, Vinh Ho Xuan, Jakub Sliwinski, Yair Zick:
Diversity Constraints in Public Housing Allocation. - Thomas Schneider, Marcin Dymczyk, Marius Fehr, Kevin Egger, Simon Lynen, Igor Gilitschenski, Roland Siegwart:
maplab: An Open Framework for Research in Visual-inertial Mapping and Localization. - Preethi Lahoti, Kiran Garimella, Aristides Gionis:
Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter. - Geonmo Gu, Seong Tae Kim, Ki Hyun Kim, Wissam J. Baddar, Yong Man Ro:
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data. - Kamil Senel, Emil Björnson, Erik G. Larsson:
Joint Transmit and Circuit Power Minimization in Massive MIMO with Downlink SINR Constraints: When to Turn on Massive MIMO? - Marius Paraschiv, Lasse Borgholt, Tycho Max Sylvester Tax, Marco Singh, Lars Maaløe:
Exploiting Nontrivial Connectivity for Automatic Speech Recognition. - Benjamin Graham, Martin Engelcke, Laurens van der Maaten:
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks. - Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang:
Reinforcement Mechanism Design, with Applications to Dynamic Pricing in Sponsored Search Auctions. - Yuji Tokozume, Yoshitaka Ushiku, Tatsuya Harada:
Learning from Between-class Examples for Deep Sound Recognition. - Harshit Jain, Guduru Sai Teja, Pramod Mane, Kapil Ahuja, Nagarajan Krishnamurthy:
Data Backup Network Formation with Heterogeneous Agents. - Yuji Tokozume, Yoshitaka Ushiku, Tatsuya Harada:
Between-class Learning for Image Classification. - Pietro Morerio, Jacopo Cavazza, Vittorio Murino:
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation. - Jacopo Cavazza, Pietro Morerio, Vittorio Murino:
Scalable and Compact 3D Action Recognition with Approximated RBF Kernel Machines. - Rodrigo Fernandes de Mello, Martha Dais Ferreira, Moacir Antonelli Ponti:
Providing theoretical learning guarantees to Deep Learning Networks. - Zhun Zhong, Liang Zheng, Zhedong Zheng, Shaozi Li, Yi Yang:
Camera Style Adaptation for Person Re-identification. - Ran Averbuch, Nir Weinberger, Neri Merhav:
Expurgated Bounds for the Asymmetric Broadcast Channel. - Beniamino Accattoli:
The Maximal MAM, a Reasonable Implementation of the Maximal Strategy. - Boris R. Andrievsky, Elena V. Kudryashova, Nikolay V. Kuznetsov, Olga A. Kuznetsova, Gennady A. Leonov:
Hidden attractors in aircraft control systems with saturated inputs. - Sobia Arshad, Muhammad Awais Azam, Syed Hassan Ahmed, Jonathan Loo:
Towards Information-Centric Networking (ICN) Naming for Internet of Things (IoT): The Case of Smart Campus. - Zhaofan Qiu, Ting Yao, Tao Mei:
Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks. - Jean-François Delpech:
Semantic Technology-Assisted Review (STAR) Document analysis and monitoring using random vectors. - Marc Bosch, Christopher M. Gifford, Pedro A. Rodriguez:
Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning. - Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How:
Crossmodal Attentive Skill Learner. - Chao Zhao, Min Zhao, Yi Guan:
Classification of entities via their descriptive sentences. - Danijar Hafner, Alexander Immer, Willi Raschkowski, Fabian Windheuser:
Generative Interest Estimation for Document Recommendations. - Philipp Oettershagen, Julian Förster, Lukas Wirth, Jacques Ambühl, Roland Siegwart:
Meteorology-Aware Multi-Goal Path Planning for Large-Scale Inspection Missions with Long-Endurance Solar-Powered Aircraft. - Xu Sun, Weiwei Sun, Shuming Ma, Xuancheng Ren, Yi Zhang, Wenjie Li, Houfeng Wang:
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing. - Tommaso Coletta, Philippe Jacquod:
Performance Measures in Electric Power Networks under Line Contingencies. - Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain:
Learning Face Age Progression: A Pyramid Architecture of GANs. - Basheer Qolomany, Majdi Maabreh, Ala I. Al-Fuqaha, Ajay Gupta, Driss Benhaddou:
Parameters Optimization of Deep Learning Models using Particle Swarm Optimization. - Basheer Qolomany, Ala I. Al-Fuqaha, Driss Benhaddou, Ajay Gupta:
Role of Deep LSTM Neural Networks And WiFi Networks in Support of Occupancy Prediction in Smart Buildings. - Farhad Shirani, Siddharth Garg, Elza Erkip:
Seeded Graph Matching: Efficient Algorithms and Theoretical Guarantees. - Fengyou Sun, Yuming Jiang:
Stochastic Dependence in Wireless Channel Capacity: A Hidden Resource. - Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick:
Learning to Segment Every Thing. - Giuseppe Tagliavini, Stefan Mach, Davide Rossi, Andrea Marongiu, Luca Benini:
A Transprecision Floating-Point Platform for Ultra-Low Power Computing. - Hamid Bagheri, Md Johirul Islam:
Sentiment analysis of twitter data. - M. Saquib Sarfraz, Arne Schumann, Andreas Eberle, Rainer Stiefelhagen:
A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking. - Xuenan Guo, Fulvio Mastrogiovanni:
The robot skin placement problem: a new technique to place triangular modules inside polygons. - Tomasz Marek Kowalski, Szymon Grabowski:
Faster range minimum queries. - Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan, Kyle Champley, Peer-Timo Bremer:
Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion. - Edmar R. S. De Rezende, Guilherme C. S. Ruppert, Antonio Theophilo, Tiago J. Carvalho:
Exposing Computer Generated Images by Using Deep Convolutional Neural Networks. - Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang:
DOTA: A Large-scale Dataset for Object Detection in Aerial Images. - Xiaofang Deng, Leilei Wu, Xiao-Long Ren, Chunxiao Jia, Yuansheng Zhong, Linyuan Lü:
Inferring users' preferences through leveraging their social relationships. - Simon Kohl, David Bonekamp, Heinz-Peter Schlemmer, Kaneschka Yaqubi, Markus Hohenfellner, Boris Hadaschik, Jan-Philipp Radtke, Klaus H. Maier-Hein:
Adversarial Networks for Prostate Cancer Detection. - Rajesh Misra, Kumar S. Ray:
A Modification of Particle Swarm Optimization using Random Walk. - Mengjiao Wang, Zhixin Shu, Yannis Panagakis, Dimitris Samaras, Stefanos Zafeiriou:
An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations. - Subhayan Mukherjee, Irene Cheng, Ram Mohana Reddy Guddeti, Anup Basu:
Entropy-difference based stereo error detection. - Gheorghe-Teodor Bercea, Carlo Bertolli, Arpith C. Jacob, Alexandre E. Eichenberger, Alexey Bataev, Georgios Rokos, Hyojin Sung, Tong Chen, Kevin O'Brien:
Implementing implicit OpenMP data sharing on GPUs. - Andrey Kupavskii, Nikita Zhivotovskiy:
When are epsilon-nets small? - Seyyed Mohammadreza Azimi, Osvaldo Simeone, Avik Sengupta, Ravi Tandon:
Online Edge Caching and Wireless Delivery in Fog-Aided Networks with Dynamic Content Popularity. - Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis:
Parallel WaveNet: Fast High-Fidelity Speech Synthesis. - Tapio Bohn, Paul Salmi, Albert Milner:
LP-Based Power Grid Enhancement Methodology. - Stéphane Rivaud, François Pachet:
Sampling Markov Models under Constraints: Complexity Results for Binary Equalities and Grammar Membership. - Charles Jeon, Gulnar Mirza, Ramina Ghods, Arian Maleki, Christoph Studer:
VLSI Design of a Nonparametric Equalizer for Massive MU-MIMO. - Manu Goyal, Neil D. Reeves, Adrian K. Davison, Satyan Rajbhandari, Jennifer Spragg, Moi Hoon Yap:
DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification. - Manu Goyal, Moi Hoon Yap:
Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks. - Mark Strickland, Georgios Fainekos, Heni Ben Amor:
Deep Predictive Models for Collision Risk Assessment in Autonomous Driving. - Chi Jin, Praneeth Netrapalli, Michael I. Jordan:
Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent. - Francis Dutil, Çaglar Gülçehre, Adam Trischler, Yoshua Bengio:
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models. - Ibrahim Abdelkader, Yasser El-Sonbaty, Mohamed El-Habrouk:
Openmv: A Python powered, extensible machine vision camera. - Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen:
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion and Blind Deconvolution. - Efstratios Rappos:
Treatment of Unicode canoncal decomposition among operating systems. - Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He:
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks. - Subhayan Mukherjee, Irene Cheng, Anup Basu:
Highlighting objects of interest in an image by integrating saliency and depth. - Chi Nhan Duong, Kha Gia Quach
Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning. - Fatmatülzehra Uslu, Anil Anthony Bharath:
A Recursive Bayesian Approach To Describe Retinal Vasculature Geometry. - Eike Neumann, Florian Steinberg:
Parametrised second-order complexity theory with applications to the study of interval computation. - Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers:
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database. - Ali Dehghan, Amir H. Banihashemi:
From Cages to Trapping Sets and Codewords: A Technique to Derive Tight Upper Bounds on the Minimum Size of Trapping Sets and Minimum Distance of LDPC Codes. - Ali Dehghan, Amir H. Banihashemi:
Hardness Results on Finding Leafless Elementary Trapping Sets and Elementary Absorbing Sets of LDPC Codes. - Lili Sun, Jianming Yong, Jeffrey Soar:
Access control management for e-Healthcare in cloud environment. - Ziyang Chen, Tamanna Shikh-Bahaei, Mohammad Shikh-Bahaei:
Edge Computing and Dynamic Vision Sensing for Low Delay Access to Visual Medical Information. - Biswarup Bhattacharya, Iftikhar Burhanuddin, Abhilasha Sancheti, Kushal Satya
Intent-Aware Contextual Recommendation System. - Maziar Raissi, Paris Perdikaris, George E. Karniadakis:
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations. - Ronald Kemker, Christopher Kanan:
FearNet: Brain-Inspired Model for Incremental Learning. - Maziar Raissi, Paris Perdikaris, George E. Karniadakis:
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations. - Mehmet Emin Aydin, Ryan Fellows:
A reinforcement learning algorithm for building collaboration in multi-agent systems. - Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski:
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. - Bin Wang, John Bachan, Cy P. Chan:
ExaGridPF: A Parallel Power Flow Solver for Transmission and Unbalanced Distribution Systems. - Khondkar R. Islam, Pouyan Ahmadi, Salman Yousaf:
A Survey of Learning Management Systems and Synchronous Distance Education Tools. - Ben Abramowitz, Elliot Anshelevich:
Utilitarians Without Utilities: Maximizing Social Welfare for Graph Problems using only Ordinal Preferences - Full Version. - Ninghao Liu, Donghwa Shin, Xia Hu:
Contextual Outlier Interpretation. - Bibek Kabi, Anand S. Sahadevan, Tapan Pradhan:
An Overflow Free Fixed-point Eigenvalue Decomposition Algorithm: Case Study of Dimensionality Reduction in Hyperspectral Images. - Joshua V. Dillon, Ian Langmore, Dustin Tran, Eugene Brevdo, Srinivas Vasudevan, Dave Moore, Brian Patton, Alex Alemi, Matthew D. Hoffman, Rif A. Saurous:
TensorFlow Distributions. - Arpan Chattopadhyay, Urbashi Mitra:
Optimal Dynamic Sensor Subset Selection for Tracking a Time-Varying Stochastic Process. - Yusuf Özkaya, Ahmet Erdem Sariyüce, Ümit V. Çatalyürek, Ali Pinar:
Active Betweenness Cardinality: Algorithms and Applications. - Roderick Bloem
CTL* synthesis via LTL synthesis. 4-22 - Bernd Finkbeiner, Manuel Gieseking, Jesko Hecking-Harbusch, Ernst-Rüdiger Olderog:
Symbolic vs. Bounded Synthesis for Petri Games. 23-43 - Hadi Ravanbakhsh, Sriram Sankaranarayanan:
A Class of Control Certificates to Ensure Reach-While-Stay for Switched Systems. 44-61 - Andrew Reynolds, Cesare Tinelli:
SyGuS Techniques in the Core of an SMT Solver. 81-96 - Sylvia Ong Ai Ling, Hushairi Zen, Al-Khalid B. Hj Othman, Mahmood Adnan
A Review on Cooperative Diversity Techniques Bypassing Channel Estimation. - Seungkyun Hong, Seongchan Kim, Minsu Joh, Sa-Kwang Song:
PSIque: Next Sequence Prediction of Satellite Images using a Convolutional Sequence-to-Sequence Network. - Mhafuzul Islam, Mashrur Chowdhury, Hongda Li, Hongxin Hu:
Cybersecurity Attacks in Vehicle-to-Infrastructure (V2I) Applications and their Prevention. - Rahul Vaze:
Online Knapsack Problem under Expected Capacity Constraint. - Yi Zhang, Hui-Ming Wang, Zhiguo Ding, Moon Ho Lee:
Non-orthogonal Multiple Access Assisted Multi-Region Geocast. - Xiang Bai, Mingkun Yang, Tengteng Huang, Zhiyong Dou, Rui Yu, Yongchao Xu:
Deep-Person: Learning Discriminative Deep Features for Person Re-Identification. - Vladimir V. Podolskii, Alexander A. Sherstov:
Inner Product and Set Disjointness: Beyond Logarithmically Many Parties. - Jinmi Lee, Wellington Pinheiro dos Santos:
An Adaptive Fuzzy-Based System to Simulate, Quantify and Compensate Color Blindness. - Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang:
Cost-Effective Seed Selection in Online Social Networks. - Jhony K. Pontes, Chen Kong, Sridha Sridharan, Simon Lucey, Anders P. Eriksson, Clinton Fookes:
Image2Mesh: A Learning Framework for Single Image 3D Reconstruction. - Elias Javier Garcia Claro, Horacio Tapia-Recillas:
Fq[G]-modules and G-invariant codes. - Mohammad Bavandpour, Mohammad Reza Mahmoodi, Dmitri B. Strukov:
Energy-Efficient Time-Domain Vector-by-Matrix Multiplier for Neurocomputing and Beyond. - Stephen Hardy, Wilko Henecka, Hamish Ivey-Law, Richard Nock, Giorgio Patrini, Guillaume Smith, Brian Thorne:
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption. - Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, Xilin Chen:
Arbitrary Facial Attribute Editing: Only Change What You Want. - Tung-Wei Kuo:
On the Approximability and Hardness of the Minimum Connected Dominating Set with Routing Cost Constraint. - (Withdrawn) Do Convolutional Neural Networks act as Compositional Nearest Neighbors?
- Zhengxin Zhang, Qingjie Liu, Yunhong Wang:
Road Extraction by Deep Residual U-Net. - Deepak kumar Aggarwal, Rajni Aron:
IoT based Platform as a Service for Provisioning of Concurrent Applications. - Yi Gu, Huaiguang Jiang, Jun Jason Zhang, Yingchen Zhang, Eduard Muljadi, Francisco J. Solis:
Chance-Constrained Day-Ahead Hourly Scheduling in Distribution System Operation. - Seong Tae Kim, Yong Man Ro:
Interpretable Facial Relational Network Using Relational Importance. - Yi Gu, Huaiguang Jiang, Jun Jason Zhang, Yingchen Zhang, Eduard Muljadi, Francisco J. Solis:
Load Forecasting Based Distribution System Network Reconfiguration-A Distributed Data-Driven Approach. - Amartya Shankha Biswas, Ronitt Rubinfeld, Anak Yodpinyanee:
Local-Access Generators for Basic Random Graph Models. - Dalton S. Rosario, Christoph Borel, Damon Conover, Ryan McAlinden, Anthony Ortiz, Sarah Shiver, Simon Blair:
Small Drone Field Experiment: Data Collection & Processing. - Wanchun Liu, Ying-Chang Liang, Yonghui Li, Branka Vucetic:
Backscatter Multiplicative Multiple-Access Systems: Fundamental Limits and Practical Design. - Pascal Getreuer, Ignacio Garcia-Dorado, John Isidoro, Sungjoon Choi, Frank Ong, Peyman Milanfar:
BLADE: Filter Learning for General Purpose Image Processing. - Yu Chen
FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors. - Young-Bum Kim, Sungjin Lee, Ruhi Sarikaya:
Speaker-Sensitive Dual Memory Networks for Multi-Turn Slot Tagging. - Massimo Bartoletti, Laura Bocchi, Ludovic Henrio, Sophia Knight:
Proceedings 10th Interaction and Concurrency Experience, ICE@DisCoTec 2017, Neuchâtel, Switzerland, 21-22nd June 2017. EPTCS 261, 2017 [contents] - Bing Liu, Gökhan Tür, Dilek Hakkani-Tür, Pararth Shah, Larry P. Heck:
End-to-End Optimization of Task-Oriented Dialogue Model with Deep Reinforcement Learning. - Damien Pollet, Stéphane Ducasse:
A critical analysis of string APIs: The case of Pharo. - Yue Mao, Yi Shen, Gang Qin, Longjun Cai:
Predicting the Popularity of Online Videos via Deep Neural Networks. - Erdem Begenilmis, Suzan Üsküdarli:
Organized Behavior Classification of Tweet Sets using Supervised Learning Methods. - Xinqing Guo, Zhang Chen, Siyuan Li, Yang Yang, Jingyi Yu:
Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs. - Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu:
Heterogeneous Information Network Embedding for Recommendation. - Ziqiang Zheng, Haiyong Zheng, Zhibin Yu, Zhaorui Gu, Bing Zheng:
Photo-to-Caricature Translation on Faces in the Wild. - Guoru Ding, Qihui Wu, Linyuan Zhang, Yun Lin, Theodoros A. Tsiftsis, Yu-Dong Yao:
An Amateur Drone Surveillance System Based on Cognitive Internet of Things. - Ziqiang Zheng, Zhibin Yu, Haiyong Zheng, Chao Wang, Nan Wang:
Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes. - Charles P. Martin, Jim Tørresen:
RoboJam: A Musical Mixture Density Network for Collaborative Touchscreen Interaction. - Vandana Guleria, Ratna Dutta:
UC Secure Issuer-Free Adaptive Oblivious Transfer with Hidden Access Policy. - Hiba Chougrad, Hamid Zouaki, Omar Alheyane:
Convolutional Neural Networks for Breast Cancer Screening: Transfer Learning with Exponential Decay. - Rui Feng, Yang Yang, Wenjie Hu, Fei Wu, Yueting Zhuang:
Representation Learning for Scale-free Networks. - Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt:
Transfer Learning with Binary Neural Networks. - Oscar Karnalim:
An Abstract Method Linearization for Detecting Source Code Plagiarism in Object-Oriented Environment. - Qiong Wu, Fan Zhang, Hao Wang, Jun Lin, Yang Liu:
Parameter-free 𝓵p-Box Decoding of LDPC Codes. - Dario De Nart, Dante Degl'Innocenti, Marco Pavan:
Leveraging Conversation Structure on Social Media to Identify Potentially Influential Users. - Donna Xu, Ivor W. Tsang, Ying Zhang:
Online Product Quantization. - Zhaohui Yang, Wei Xu, Yi-Jin Pan, Cunhua Pan, Ming Chen:
Energy Efficient Resource Allocation in Machine-to-Machine Communications with Multiple Access and Energy Harvesting for IoT. - A. Farokhi Nejad, M. Pourasghar, S. Peirovi, M. N. Tamin:
Computational Aided Design for Generating a Modular, Lightweight Car Concept. - Tiancheng Li, Juan M. Corchado, Shudong Sun:
Partial Consensus and Conservative Fusion of Gaussian Mixtures for Distributed PHD Fusion. - Mogens Graf Plessen:
Automating Vehicles by Deep Reinforcement Learning using Task Separation with Hill Climbing. - Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker:
Efficient exploration with Double Uncertain Value Networks. - Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar:
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality. - Mykola Ponomarenko, Nikolay V. Gapon, Viacheslav V. Voronin, Karen O. Egiazarian:
Blind estimation of white Gaussian noise variance in highly textured images. - Eva Mohedano, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor:
Saliency Weighted Convolutional Features for Instance Search. - Qingfu Wan, Wei Zhang, Xiangyang Xue:
DeepSkeleton: Skeleton Map for 3D Human Pose Regression. - Shuang Qiu, Da Chen, Daiming Qu, Kai Luo, Tao Jiang:
Downlink Precoding with Mixed Statistical and Imperfect Instantaneous CSI for Massive MIMO Systems. - Saptarshi Pal, Soumya K. Ghosh:
Rule based End-to-End Learning Framework for Urban Growth Prediction. - Jean-Paul Allouche, Julien Cassaigne, Jeffrey O. Shallit, Luca Q. Zamboni:
A Taxonomy of Morphic Sequences. - Anupam Datta, Sophia Kovaleva, Piotr Mardziel, Shayak Sen:
Latent Factor Interpretations for Collaborative Filtering. - Virginia Estellers, Frank R. Schmidt, Daniel Cremers:
Compression for Smooth Shape Analysis. - Ahmed H. Zaidi, Russell Moore, Ted Briscoe:
Curriculum Q-Learning for Visual Vocabulary Acquisition. - Dhafer Ben Arbia, Muhammad Mahtab Alam, Rabah Attia, Elyes Ben Hamida:
Behavior of Wireless Body-to-Body Networks Routing Strategies for Public Protection and Disaster Relief. - Sevil Dräxler, Holger Karl, Zoltán Ádám Mann:
JASPER: Joint Optimization of Scaling, Placement, and Routing of Virtual Network Services. - Dhafer Ben Arbia, Muhammad Mahtab Alam, Rabah Attia, Elyes Ben Hamida:
Data Dissemination Strategies for Emerging Wireless Body-to-Body Networks based Internet of Humans. - Esmaeel Nikravan, Farid Feyzi, Saeed Parsa:
Enhancing Path-Oriented Test Data Generation Using Adaptive Random Testing Techniques. - Rinu Boney, Alexander Ilin:
Semi-Supervised Few-Shot Learning with Prototypical Networks. - Clovis Eberhart, Tom Hirschowitz
What's in a game? A theory of game models. - Tamas Madl, David Madl:
Smartphone-based paroxysmal atrial fibrillation monitoring with robust generalization. - Sanjoy Das:
Deconstructing Anomalies in Academic Promotion & Tenure Decisions Using Spectral Graph Theory. - Vincent Rocher, Cédric Join, Stéphane Mottelet, Jean Bernier, Sabrina Rechdaoui-Guérin, Sam Azimi, Paul Lessard, André Pauss, Michel Fliess:
La production de nitrites lors de la dénitrification des eaux usées par biofiltration - Stratégie de contrôle et de réduction des concentrations résiduelles. - Xuan Cao, Zhang Chen, Anpei Chen, Xin Chen, Cen Wang, Jingyi Yu:
Sparse Photometric 3D Face Reconstruction Guided by Morphable Models. - Danfei Xu, Dragomir Anguelov, Ashesh Jain:
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation. - Qi Ye, Tae-Kyun Kim:
Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network. - (Withdrawn) Convergence of P!=NP Toward P=NP in Higher Order of Observabilities.
- Mike Zhou, Qiuhua Huang:
InterPSS: A New Generation Power System Simulation Engine. - M. Saquib Sarfraz, Angela Constantinescu, Melanie Zuzej, Rainer Stiefelhagen:
A Multimodal Assistive System for Helping Visually Impaired in Social Interactions. - Michael A. Henning, Arti Pandey:
Algorithmic Aspects of Semitotal Domination in Graphs. - Nicolas Gastineau, Olivier Togni:
On S-packing edge-colorings of cubic graphs. - Mariya Popova, Olexandr Isayev, Alexander Tropsha:
Deep Reinforcement Learning for De-Novo Drug Design. - Paul Breiding, Sascha Timme:
HomotopyContinuation.jl - a package for solving systems of polynomial equations in Julia. - Cem Bassoy:
TLib: A Flexible C++ Tensor Framework for Numerical Tensor Calculus. - Wissam J. Baddar, Yong Man Ro:
Learning Spatio-temporal Features with Partial Expression Sequences for on-the-Fly Prediction. - Marcus Klasson, Kun Zhang, Bo C. Bertilson, Cheng Zhang, Hedvig Kjellström:
Causality Refined Diagnostic Prediction. - Dongwoo Lee, Haesol Park, In Kyu Park, Kyoung Mu Lee:
Joint Blind Motion Deblurring and Depth Estimation of Light Field. - Bernd Gärtner, Ahad N. Zehmakan:
(Biased) Majority Rule Cellular Automata. - Swalpa Kumar Roy, Bhabatosh Chanda, Bidyut B. Chaudhuri, Soumitro Banerjee, Dipak Kumar Ghosh, Shiv Ram Dubey:
Local Jet Pattern: A Robust Descriptor for Texture Classification. - Song Zuo:
Generalizing Virtual Values to Multidimensional Auctions: a Non-Myersonian Approach. - Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky:
Deep Image Prior. - Koninika Pal, Sebastian Michel:
Learning Interesting Categorical Attributes for Refined Data Exploration. - Soroush Saryazdi, Bahareh Nikpour, Hossein Nezamabadi-pour:
NPC: Neighbors Progressive Competition Algorithm for Classification of Imbalanced Data Sets. - Fulton Wang, Cynthia Rudin:
Dimension Reduction for Robust Covariate Shift Correction. - Paul Henderson
A Generative Model of 3D Object Layouts in Apartments. - Ying Liu, Lei Liu, Wei-Peng Chen:
Intelligent Traffic Light Control Using Distributed Multi-agent Q Learning. - Genevieve Flaspohler, Nicholas Roy, Yogesh A. Girdhar:
Near-optimal irrevocable sample selection for periodic data streams with applications to marine robotics. - Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson:
A Double-Layered Framework for Distributed Coordination in Solving Linear Equations. - Xiaoshen Song, Saeid Haghighatshoar, Giuseppe Caire:
A Robust Time-Domain Beam Alignment Scheme for Multi-User Wideband mmWave Systems. - Ying Liu, Andrey Garnaev, Wade Trappe:
Connectivity jamming game for physical layer attack in peer to peer networks. - Blaise Agüera y Arcas, Beat Gfeller, Ruiqi Guo, Kevin Kilgour, Sanjiv Kumar, James Lyon, Julian Odell, Marvin Ritter, Dominik Roblek, Matthew Sharifi, Mihajlo Velimirovic:
Now Playing: Continuous low-power music recognition. - Calden Wloka, Iuliia Kotseruba, John K. Tsotsos:
Saccade Sequence Prediction: Beyond Static Saliency Maps. - Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay:
Identifying Patterns of Associated-Conditions through Topic Models of Electronic Medical Records. - Thibault Séjourné, Samitha Samaranayake, Siddhartha Banerjee:
The Price of Fragmentation in Mobility-on-Demand Services. - Christopher D. Clack:
Design discussion on the ISDA Common Domain Model. - Ruthwik R. Junuthula, Maysam Haghdan, Kevin S. Xu, Vijay K. Devabhaktuni:
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks. - Arash Akbarinia, Raquel Gil Rodríguez, C. Alejandro Párraga:
Colour Constancy: Biologically-inspired Contrast Variant Pooling Mechanism. - Bilal Karim Mughal, Sufian Hameed, Ghulam Muhammad Shaikh:
A Centralized Reputation Management Scheme for Isolating Malicious Controller(s) in Distributed Software-Defined Networks. - Markus Giftthaler, Michael Neunert, Markus Stäuble, Jonas Buchli, Moritz Diehl:
A Family of Iterative Gauss-Newton Shooting Methods for Nonlinear Optimal Control. - Qixue Xiao, Kang Li, Deyue Zhang, Weilin Xu:
Security Risks in Deep Learning Implementations. - Simon Brodeur, Ethan Perez, Ankesh Anand, Florian Golemo, Luca Celotti, Florian Strub, Jean Rouat, Hugo Larochelle, Aaron C. Courville:
HoME: a Household Multimodal Environment. - Karthik Elamvazhuthi, Hendrik Kuiper, Spring Berman:
PDE-Based Optimization for Stochastic Mapping and Coverage Strategies using Robotic Ensembles. - Prithwish Chakraborty, Vishrawas Gopalakrishnan, Sharon M. H. Alford, Faisal Farooq:
A Novel Data-Driven Framework for Risk Characterization and Prediction from Electronic Medical Records: A Case Study of Renal Failure. - Arthur Brazinskas, Serhii Havrylov, Ivan Titov:
Embedding Words as Distributions with a Bayesian Skip-gram Model. - Karthik C. S., Bundit Laekhanukit, Pasin Manurangsi:
On the Parameterized Complexity of Approximating Dominating Set. - Liang Zhou, Sri Harsha Kondapalli, Shantanu Chakrabartty:
A Fowler-Nordheim Integrator can Track the Density of Prime Numbers. - Andrew Morgan, Rafael Pass:
Paradoxes in Fair Computer-Aided Decision Making. - Rafal Muszynski, Jun Wang:
Happiness Pursuit: Personality Learning in a Society of Agents. - Miriam Bellver, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Xavier Giró-i-Nieto, Jordi Torres, Luc Van Gool:
Detection-aided liver lesion segmentation using deep learning. - (Withdrawn) HSC: A Novel Method for Clustering Hierarchies of Networked Data.
- Sufian Hameed, Sameet Farooq:
The Art of Crypto Currencies: A Comprehensive Analysis of Popular Crypto Currencies. - Rajiv Khadka
Towards Cross-Surface Immersion Using Low Cost Multi-Sensory Output Cues to Support Proxemics and Kinesics Across Heterogeneous Systems. - Damiana Lazzaro, Elena Loli Piccolomini, Fabiana Zama:
A fast nonconvex Compressed Sensing algorithm for highly low-sampled MR images reconstruction. - Angela Lin:
Improved Twitter Sentiment Analysis Using Naive Bayes and Custom Language Model. - Furkan Ercan, Carlo Condo, Seyyed Ali Hashemi, Warren J. Gross:
Partitioned Successive-Cancellation Flip Decoding of Polar Codes. - Carlo Condo, Furkan Ercan, Warren J. Gross:
Improved Successive Cancellation Flip Decoding of Polar Codes Based on Error Distribution. - Zhe Zhu, Ehab Albadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski:
Deep Learning for identifying radiogenomic associations in breast cancer. - Zhiyuan Jiang, Sheng Zhou, Xueying Guo, Zhisheng Niu:
Task Replication for Deadline-Constrained Vehicular Cloud Computing: Optimal Policy, Performance Analysis and Implications on Road Traffic. - Randy Tan, Naimul Mefraz Khan, Ling Guan:
Real-Time System for Human Activity Analysis. - Marcia Hon, Naimul Mefraz Khan:
Towards Alzheimer's Disease Classification through Transfer Learning. - Robert L. Logan IV, Samuel Humeau, Sameer Singh:
Multimodal Attribute Extraction. - Alex Aronson:
"TenisRank": A new ranking of tennis players based on PageRank. - Naimul Mefraz Khan, Riadh Ksantini, Ling Guan:
A Novel Image-centric Approach Towards Direct Volume Rendering. - Adit Krishnan, Ashish Sharma, Hari Sundaram:
Improving Latent User Models in Online Social Media. - Filip Miscevic, Aida Nematzadeh, Suzanne Stevenson:
Predicting and Explaining Human Semantic Search in a Cognitive Model. - Faraz Idris Khan, Sufian Hameed:
Software Defined Security Service Provisioning Framework for Internet of Things. - Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang:
Video Captioning via Hierarchical Reinforcement Learning. - Zhen Huang, David Lie:
Senx: Sound Patch Generation for Security Vulnerabilities. - Vinay Jethava, Devdatt P. Dubhashi:
GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference. - Xiaofei Wang, Yonghong Yan, Hynek Hermansky:
Stream Attention for far-field multi-microphone ASR. - Wouter Kuijper:
A Cooperative Proof of Work Scheme for Distributed Consensus Protocols. - Guy Ben-Yosef
Structured learning and detailed interpretation of minimal object images. - Shuyang Sun, Zhanghui Kuang, Wanli Ouyang, Lu Sheng, Wei Zhang
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition. - Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang:
Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. - Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck:
A Semantic Loss Function for Deep Learning with Symbolic Knowledge. - (Withdrawn) A note on time hierarchies for reasonable semantic classes without advice.
- Parag K. Mital:
Time Domain Neural Audio Style Transfer. - Tyler Lu, Martin Zinkevich, Craig Boutilier, Binz Roy, Dale Schuurmans:
Safe Exploration for Identifying Linear Systems via Robust Optimization. - David Fajardo-Ortiz
Emerging basic, clinical and translational research fronts in dental biomaterials R&D. - Sahin Cem Geyik, Jianqiang Shen, Shahriar Shariat, Ali Dasdan, Santanu Kolay:
Towards Data Quality Assessment in Online Advertising. - Xun Zheng, Manzil Zaheer, Amr Ahmed, Yuan Wang, Eric P. Xing, Alexander J. Smola:
State Space LSTM Models with Particle MCMC Inference. - (Withdrawn) Improved Learning in Evolution Strategies via Sparser Inter-Agent Network Topologies.
- Yanbing Mao, Emrah Akyol, Ziang Zhang:
Strategic Topology Switching for Security-Part II: Detection & Switching Topologies. - Yanbing Mao, Emrah Akyol, Ziang Zhang:
Strategic Topology Switching for Security-Part I: Consensus & Switching Times. - Yu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li, Ming Zhou:
Neural Response Generation with Dynamic Vocabularies. - Jing Guo, Xiangyun Zhou, Salman Durrani, Halim Yanikomeroglu:
Design of Non-orthogonal Multiple Access Enhanced Backscatter Communication. - Weijun Fang, Li-Ping Wang, Daqing Wan:
On deep-holes of Gabidulin codes. - Anubhav Apurva, Palash Thakur, Anupam Misra:
Aiding the Visually Impaired: Developing an efficient Braille Printer. - Lin Zhou, Vincent Y. F. Tan, Mehul Motani:
The Dispersion of Universal Joint Source-Channel Coding for Arbitrary Sources and Additive Channels. - Tobias Prehn, Stephan Mennicke
Keep it Fair: Equivalences. 5-16 - Franco Barbanera, Ugo de'Liguoro:
Session Types for Orchestrated Interactions. 17-36 - Chiara Bodei, Pierpaolo Degano, Letterio Galletta
Tool Supported Analysis of IoT. 37-56 - Luís Cruz-Filipe, Fabrizio Montesi
On Asynchrony and Choreographies. 76-90 - Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato:
Future Person Localization in First-Person Videos. - Shaohui Kuang, Deyi Xiong, Weihua Luo, Guodong Zhou:
Cache-based Document-level Neural Machine Translation. - Yunhao Tang, Alp Kucukelbir:
Variational Deep Q Network. - Saeid Rasulkhani, Joseph Y. J. Chow:
Route-cost-assignment with joint user and operator behavior as a many-to-one stable matching assignment game. - Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo:
Knowledge Graph Embedding with Iterative Guidance from Soft Rules. - Adam Ibrahim, Brandon Huynh, Jonathan Downey, Tobias Höllerer, Dorothy Chun, John O'Donovan:
ARbis Pictus: A Study of Language Learning with Augmented Reality. - Shrinu Kushagra, Nicole McNabb, Yaoliang Yu, Shai Ben-David:
Provably noise-robust, regularised k-means clustering. - Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri:
A Closer Look at Spatiotemporal Convolutions for Action Recognition. - Daitao Xing, Zichen Li, Xin Chen, Yi Fang:
ArbiText: Arbitrary-Oriented Text Detection in Unconstrained Scene. - Sujay D. Kadam:
Disturbance Observer based Control of Integrating Processes with Dead-Time using PD controller. - Clément Gaultier
A modeling and algorithmic framework for (non)social (co)sparse audio restoration. - Chenxing Xia, Hanling Zhang, Keqin Li:
A novel graph structure for salient object detection based on divergence background and compact foreground. - Himanshu Sahni, Saurabh Kumar, Farhan Tejani, Charles L. Isbell Jr.:
Learning to Compose Skills. - Xiaofan Lin, Cong Zhao, Wei Pan:
Towards Accurate Binary Convolutional Neural Network. - Sufian Hameed, Lamak Qaizar, Shankar Khatri:
Efficacy of Object-Based Passwords for User Authentication. - Bing Liu, Ian R. Lane:
Multi-Domain Adversarial Learning for Slot Filling in Spoken Language Understanding. - Simon Bruggmann, Rico Zenklusen:
Submodular Maximization through the Lens of Linear Programming. - Bo Hu, Ye Tang, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu:
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks. - Fabio Paolizzo, Colin G. Johnson:
Autonomy in the interactive music system VIVO. - Alessandro Artusi, Thomas Richter, Touradj Ebrahimi, Rafal K. Mantiuk:
High Dynamic Range Imaging Technology. - Piotr Bródka, Anna Chmiel, Matteo Magnani, Giancarlo Ragozini:
Quantifying layer similarity in multiplex networks: a systematic study. - James Pritts, Zuzana Kukelova, Viktor Larsson, Ondrej Chum:
Radially-Distorted Conjugate Translations. - Patrick Schäfer, Ulf Leser:
Multivariate Time Series Classification with WEASEL+MUSE. - Paul Vickers, Robert Höldrich:
Direct Segmented Sonification of Characteristic Features of the Data Domain. - Stanislav Litvinov, Marat Mingazov, Vladislav Myachikov, Vladimir Ivanov, Yuliya Palamarchuk, Pavel Sozonov, Giancarlo Succi:
A tool for visualizing the execution of programs and stack traces especially suited for novice programmers. - Wei Zeng, Theo Gevers:
3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local Contextual Cues. - Kerem Can Tezcan, Christian F. Baumgartner, Ender Konukoglu:
MR image reconstruction using the learned data distribution as prior. - Rim Kaddah, Daniel Kofman, Fabien Mathieu, Michal Pióro:
Semi-Distributed Demand Response Solutions for Smart Homes. - Reza Alijani, Siddhartha Banerjee, Sreenivas Gollapudi, Kostas Kollias, Kamesh Munagala:
Two-sided Facility Location. - Ajay Brahmakshatriya, Piyus Kedia, Derrick Paul McKee, Pratik Bhatu, Deepak Garg, Akash Lal, Aseem Rastogi:
An Instrumenting Compiler for Enforcing Confidentiality in Low-Level Code. - José N. Franco-Riquelme, Isaac Lemus-Aguilar, Joaquín B. Ordieres Meré:
KIBS Innovative Entrepreneurship Networks on Social Media. - Mahdi Nouri Boroujerdi, Saeid Haghighatshoar, Giuseppe Caire:
Low-complexity and Statistically Robust Beamformer Design for Massive MIMO Systems. - Victor Chepoi, Arnaud Labourel, Sébastien Ratel:
On density of subgraphs of halved cubes. - Kim Peter Wabersich, Melanie N. Zeilinger:
Scalable synthesis of safety certificates from data with application to learning-based control. - Yu Cai, Saugata Ghose, Erich F. Haratsch, Yixin Luo, Onur Mutlu:
Errors in Flash-Memory-Based Solid-State Drives: Analysis, Mitigation, and Recovery. - Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong:
Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations. - Rajeev Alur, Dana Fisman
SyGuS-Comp 2017: Results and Analysis. 97-115 - Swen Jacobs
The 4th Reactive Synthesis Competition (SYNTCOMP 2017): Benchmarks, Participants & Results. 116-143 - Pierre Stock, Moustapha Cissé:
ConvNets and ImageNet Beyond Accuracy: Explanations, Bias Detection, Adversarial Examples and Model Criticism. - Bernhard Kratzwald, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Towards an Understanding of Our World by GANing Videos in the Wild. - Menghan Wang, Xiaolin Zheng, Yang Yang, Kun Zhang:
Collaborative Filtering with Social Exposure: A Modular Approach to Social Recommendation. - Jianwei Qian, Haohua Du, Jiahui Hou, Linlin Chen, Taeho Jung, Xiangyang Li, Yu Wang, Yanbo Deng:
VoiceMask: Anonymize and Sanitize Voice Input on Mobile Devices. - Jose Rubio-Hernan, Juan Rodolfo-Mejias, Joaquín García-Alfaro:
Security of Cyber-Physical Systems. From Theory to Testbeds and Validation. - Jiawei Zhang, Limeng Cui, Yanjie Fu:
LATTE: Application Oriented Network Embedding. - Markus Wittmann, Viktor Haag, Thomas Zeiser, Harald Köstler, Gerhard Wellein:
Lattice Boltzmann Benchmark Kernels as a Testbed for Performance Analysis. - Aaron Potechin:
Sum of squares lower bounds from symmetry and a good story. - Ryan Goldade, Christopher Batty:
Constraint Bubbles: Adding Efficient Zero-Density Bubbles to Incompressible Free Surface Flow. - Gennadi I. Malaschonok:
Algorithms for the solution of systems of linear equations in commutative ring. - Gennadi I. Malaschonok:
Algorithms for the Computing Determinants in Commutative Rings. - Domen Tabernik, Matej Kristan, Ales Leonardis:
Spatially-Adaptive Filter Units for Deep Neural Networks. - Thomas Lucas, Jakob Verbeek:
Auxiliary Guided Autoregressive Variational Autoencoders. - (Withdrawn) Understanding Service Integration of Online Social Networks: A Data-Driven Study.
- Victor Chepoi, Arnaud Labourel, Sébastien Ratel:
On density of subgraphs of Cartesian products. - Xueyuan Han, Thomas F. J.-M. Pasquier, Tanvi Ranjan, Mark Goldstein, Margo I. Seltzer:
FRAPpuccino: Fault-detection through Runtime Analysis of Provenance. - Leonardo Ermann, Klaus M. Frahm, Dima Shepelyansky:
Google matrix of Bitcoin network. - Evgenia Paxinou, Vasilis Zafeiropoulos, Athanasios Sypsas, Chairi Kiourt, Dimitris Kalles:
Assessing the Impact of Virtualizing Physical Labs. - Andreas Veit, Serge J. Belongie:
Convolutional Networks with Adaptive Computation Graphs. - Ming Liu, Bo Lang, Zepeng Gu:
Calculating Semantic Similarity between Academic Articles using Topic Event and Ontology. - Francisco J. Valverde-Albacete, Carmen Peláez-Moreno:
The Channel Multivariate Entropy Triangle and Balance Equation. - Michael Moortgat, Gijs Wijnholds
Lexical and Derivational Meaning in Vector-Based Models of Relativisation. - Tinghui Ouyang, Yusen He, Huajin Li, Zhiyu Sun, Stephen Baek:
A Deep Learning Framework for Short-term Power Load Forecasting. - Yun Ma, Shuailiang Dong:
Understanding Quality of Experiences on Different Mobile Browsers: Measurements, Analysis, and Implications. - Tameem Choudhury, R. Inkulu:
Computing a rectilinear shortest path amid splinegons in plane. - Phil Culliton, Michael Levinson, Alice Ehresman, Joshua Wherry, Jay S. Steingrub, Stephen I. Gallant:
Predicting Severe Sepsis Using Text from the Electronic Health Record. - Alexander G. Ororbia II, Patrick Haffner, David Reitter, C. Lee Giles:
Learning to Adapt by Minimizing Discrepancy. - Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra:
Embodied Question Answering. - Kevin Carlberg, Youngsoo Choi, Syuzanna Sargsyan:
Conservative model reduction for finite-volume models. - Yuhua Chen, Wen Li, Luc Van Gool:
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes. - Clément L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Testing Conditional Independence of Discrete Distributions. - Jason Jo, Yoshua Bengio:
Measuring the tendency of CNNs to Learn Surface Statistical Regularities. - Yun Ma, Ziniu Hu, Dian Yang:
Automating Release of Deep Link APIs for Android Applications. - Weipeng He, Petr Motlícek, Jean-Marc Odobez:
Deep Neural Networks for Multiple Speaker Detection and Localization. - Sergey Tulyakov, Andrew W. Fitzgibbon, Sebastian Nowozin:
Hybrid VAE: Improving Deep Generative Models using Partial Observations. - Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei:
Relation Networks for Object Detection. - Xizhou Zhu, Jifeng Dai, Lu Yuan, Yichen Wei:
Towards High Performance Video Object Detection. - Pravesh K. Kothari, David Steurer:
Outlier-robust moment-estimation via sum-of-squares. - Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro:
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs. - Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman:
Toward Multimodal Image-to-Image Translation. - Daniela Huppenkothen, Anthony Arendt, David W. Hogg, Karthik Ram, Jake VanderPlas, Ariel Rokem:
Hack Weeks as a model for Data Science Education and Collaboration. - Chandler Zuo:
Calibration for Stratified Classification Models. - Konrad Zolna, Devansh Arpit, Dendi Suhubdy, Yoshua Bengio:
Fraternal Dropout. - Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. - Jaehoon Lee, Yasaman Bahri, Roman Novak, Samuel S. Schoenholz, Jeffrey Pennington, Jascha Sohl-Dickstein:
Deep Neural Networks as Gaussian Processes. - Chris J. Budd, Andrew T. T. McRae, Colin J. Cotter:
The geometry of optimally transported meshes on the sphere. - James P. Bagrow, Lewis Mitchell:
The quoter model: a paradigmatic model of the social flow of written information. - Alexios Balatsoukas-Stimming:
Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks. - Zhengfeng Ji, Yi-Kai Liu, Fang Song:
Pseudorandom States, Non-Cloning Theorems and Quantum Money. - Avrim Blum, Lunjia Hu:
Active Tolerant Testing. - Richard Combes, Stefan Magureanu, Alexandre Proutière:
Minimal Exploration in Structured Stochastic Bandits. - Chenyang Shen, Yesenia Gonzalez, Liyuan Chen, Steve B. Jiang, Xun Jia:
Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning. - András Gilyén, Srinivasan Arunachalam, Nathan Wiebe:
Optimizing quantum optimization algorithms via faster quantum gradient computation. - Ali Shafahi, Zhongxiang Wang, Ali Haghani:
School bus routing by maximizing trip compatibility. - Zhongxiang Wang, Ali Shafahi, Ali Haghani:
An iterative school decomposition algorithm for solving the multi-school bus routing and scheduling problem. - Xin Zhang, Weixuan Kou, Eric I-Chao Chang, He Gao, Yubo Fan, Yan Xu:
Sleep Stage Classification Based on Multi-level Feature Learning and Recurrent Neural Networks via Wearable Device. - Lei Han, Tong Zhang:
Candidates v.s. Noises Estimation for Large Multi-Class Classification Problem. - Eun Jung Kim, O-joung Kwon:
Erdős-Pósa property of chordless cycles and its applications. - Ryan L. Mann
On the Complexity of Random Quantum Computations and the Jones Polynomial. - Przemyslaw Sekula, Nikola Markovic, Zachary Vander Laan, Kaveh Farokhi Sadabadi:
Estimating Historical Hourly Traffic Volumes via Machine Learning and Vehicle Probe Data: A Maryland Case Study. - Wei Lyu, Zhaoyang Zhang, Chunxu Jiao, Kangjian Qin, Huazi Zhang:
Performance Evaluation of Channel Decoding With Deep Neural Networks. - Warren M. Lord, Jie Sun, Erik M. Bollt:
Geometric k-nearest neighbor estimation of entropy and mutual information. - Barak Sober, Yariv Aizenbud, David Levin:
Approximation of Functions over Manifolds: A Moving Least-Squares Approach. - Marjan Cugmas, Anuska Ferligoj, Luka Kronegger:
Scientific co-authorship networks. - Jayadev Acharya, Ibrahim Issa, Nirmal V. Shende, Aaron B. Wagner:
Measuring Quantum Entropy. - Vivek Kumar Bagaria, Govinda M. Kamath, Vasilis Ntranos, Martin J. Zhang, David Tse:
Medoids in almost linear time via multi-armed bandits. - Thomas Ridremont, Dimitri Watel, Pierre-Louis Poirion, Christophe Picouleau:
Adaptive Network Flow with k-Arc Destruction. - Sergio Rodriguez, Michael Ludkovski:
Generalized Probabilistic Bisection for Stochastic Root-Finding. - Huiqin Xie, Li Yang:
Using Bernstein-Vazirani Algorithm to Attack Block Ciphers. - Pieter-Jan Kindermans, Sara Hooker, Julius Adebayo, Maximilian Alber, Kristof T. Schütt, Sven Dähne, Dumitru Erhan, Been Kim:
The (Un)reliability of saliency methods. - Jae Oh Woo, François Baccelli, Sriram Vishwanath:
On the Steady State of Continuous Time Stochastic Opinion Dynamics. - Xuehang Zheng, Il Yong Chun, Zhipeng Li, Yong Long, Jeffrey A. Fessler:
Sparse-View X-Ray CT Reconstruction Using 𝓵1 Prior with Learned Transform. - Vladimir Gurvich, Gleb A. Koshevoy:
Monotone bargaining is Nash-solvable. - Alessio Zappone, Luca Sanguinetti, Mérouane Debbah:
Energy-Delay Efficient Power Control in Wireless Networks. - Arash A. Amini, Bryon Aragam, Qing Zhou:
Partial correlation graphs and the neighborhood lattice. - Tanmay Gangwani, Jian Peng:
Genetic Policy Optimization. - Ricardo Antunes
Identification of Repetitive Processes at Steady- and Unsteady-state: Transfer Function. - Scott Aaronson:
Shadow Tomography of Quantum States. - Vincent Adam
Structured Variational Inference for Coupled Gaussian Processes. - Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt:
Metrics for Deep Generative Models. - Ron Amit, Ron Meir:
Lifelong Learning by Adjusting Priors. - Nick Pawlowski, Martin Rajchl, Ben Glocker:
Implicit Weight Uncertainty in Neural Networks. - Sébastien Bubeck, Michael B. Cohen, Yin Tat Lee, Yuanzhi Li:
An homotopy method for 𝓵p regression provably beyond self-concordance and in input-sparsity time. - Jesus E. Contreras-Ocaña, Uzma Siddiqi, Baosen Zhang:
Non-Wire Alternatives to Capacity Expansion. - Qi Cheng, Shuhong Gao, J. Maurice Rojas, Daqing Wan:
Counting Roots of Polynomials Over Prime Power Rings. - Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca, Andrew A. Chael, Freek Roelofs, Sheperd S. Doeleman, William T. Freeman:
Reconstructing Video from Interferometric Measurements of Time-Varying Sources. - Samuel Fiorini, Tony Huynh, Stefan Weltge:
Strengthening Convex Relaxations of 0/1-Sets Using Boolean Formulas. - Braxton Osting, Dong Wang:
A generalized MBO diffusion generated motion for orthogonal matrix-valued fields. - Ananda G. Maity
Tighter Einstein-Podolsky-Rosen steering inequality based on the sum uncertainty relation. - Zheng Xie, Jianping Li, Miao Li:
Exploring cooperative game mechanisms of scientific coauthorship networks. - Zheng Xie, Jianping Li, Miao Li, Dongyun Yi, Yanqin Feng, Zonglin Xie:
Merging error analysis of name disambiguation based on author similarity. - Jonas Sukys, Mira Kattwinkel:
SPUX: Scalable Particle Markov Chain Monte Carlo for uncertainty quantification in stochastic ecological models. - Wei Su, Jin Guo, Xianzhong Chen, Ge Chen:
Noise-induced synchronization of self-organized systems: Hegselmann-Krause dynamics in infinite space. - Magdalena Fuchs, Manuel Zimmer, Radu Grosu, Ramin M. Hasani:
Searching for Biophysically Realistic Parameters for Dynamic Neuron Models by Genetic Algorithms from Calcium Imaging Recording. - Shibabrat Naik, Francois Lekien, Shane D. Ross:
Computational Method for Phase Space Transport with Applications to Lobe Dynamics and Rate of Escape. - Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney:
Distribution-Preserving k-Anonymity. - Jing Qin
Stochastic Greedy Algorithms For Multiple Measurement Vectors. - Ilya O. Tolstikhin, Olivier Bousquet, Sylvain Gelly, Bernhard Schölkopf:
Wasserstein Auto-Encoders. - Khalid Youssef, Louis-S. Bouchard, K. Z. Haigh, H. Krovi, J. Silovsky, C. P. Vander Valk:
Machine Learning Approach to RF Transmitter Identification. - Zhen He, Shaobing Gao, Liang Xiao, Daxue Liu, Hangen He, David Barber:
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning. - Rakesh Malladi, Don H. Johnson, Giridhar P. Kalamangalam, Nitin Tandon, Behnaam Aazhang:
Mutual Information in Frequency and its Application to Measure Cross-Frequency Coupling in Epilepsy. - Elio D. Di Claudio, Raffaele Parisi, Giovanni Jacovitti:
Space Time MUSIC: Consistent Signal Subspace Estimation for Wide-band Sensor Arrays. - Torsten Mütze, Jerri Nummenpalo, Bartosz Walczak:
Sparse Kneser graphs are Hamiltonian. - Alexander Weber, Matthias Rungger, Gunther Reissig:
Optimized State Space Grids for Abstractions. - Aryan Mokhtari, S. Hamed Hassani, Amin Karbasi:
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap. - Alex Groce, Josie Holmes:
Provenance and Pseudo-Provenance for Seeded Learning-Based Automated Test Generation. - Shubham Toshniwal, Tara N. Sainath, Ron J. Weiss, Bo Li, Pedro J. Moreno, Eugene Weinstein, Kanishka Rao:
Multilingual Speech Recognition With A Single End-To-End Model. - Carleton Coffrin, Russell Bent, Kaarthik Sundar, Yeesian Ng, Miles Lubin:
PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations. - Amirhossein Akbar Tabatabai:
Computational Flows in Arithmetic. - Ji Chen, Xiaodong Li:
Memory-efficient Kernel PCA via Partial Matrix Sampling and Nonconvex Optimization: a Model-free Analysis of Local Minima. - Seong Joon Oh, Max Augustin, Bernt Schiele, Mario Fritz:
Whitening Black-Box Neural Networks. - Jacopo Corno, Carlo de Falco, Herbert De Gersem, Sebastian Schöps:
Isogeometric Analysis Simulation of TESLA Cavities Under Uncertainty. - Artur Speiser, Jinyao Yan, Evan Archer, Lars Buesing, Srinivas C. Turaga, Jakob H. Macke:
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders. - Snehasis Banerjee, Tanushyam Chattopadhyay, Ayan Mukherjee:
Interpretable Feature Recommendation for Signal Analytics. - Sandeep Reddy C, Rajesh M. Hegde:
Minimum-Phase HRTF Modeling of Pinna Spectral Notches using Group Delay Decomposition. - Lintao Ye, Sandip Roy, Shreyas Sundaram:
On the Complexity and Approximability of Optimal Sensor Selection for Kalman Filtering. - Daniele Mundici:
Word problems in Elliott monoids. - Jiajun Zhang, Zhiguo Shi:
Deformable Deep Convolutional Generative Adversarial Network in Microwave Based Hand Gesture Recognition System. - Mauro Faccin, Michael T. Schaub, Jean-Charles Delvenne:
Entrograms and coarse graining of dynamics on complex networks. - Brendan Keith, Ali Vaziri Astaneh, Leszek F. Demkowicz:
Goal-oriented adaptive mesh refinement for non-symmetric functional settings. - Siamak Ravanbakhsh, Junier B. Oliva, Sebastian Fromenteau
Estimating Cosmological Parameters from the Dark Matter Distribution. - N. Benjamin Erichson, Ariana Mendible, Sophie Wihlborn, J. Nathan Kutz:
Randomized Nonnegative Matrix Factorization. - Xun Gao, Zhengyu Zhang, Luming Duan:
An efficient quantum algorithm for generative machine learning. - Nicolas Tremblay, Paulo Gonçalves, Pierre Borgnat:
Design of graph filters and filterbanks. - Cosma Rohilla Shalizi, Dena Marie Asta:
Consistency of Maximum Likelihood for Continuous-Space Network Models. - Yanjun Han, Jiantao Jiao, Tsachy Weissman, Yihong Wu:
Optimal rates of entropy estimation over Lipschitz balls. - Shaofeng Zou, Georgios Fellouris, Venugopal V. Veeravalli:
Quickest Change Detection under Transient Dynamics: Theory and Asymptotic Analysis. - Hunter Lang, David A. Sontag, Aravindan Vijayaraghavan:
Alpha-expansion is Exact on Stable Instances. - Guy Bresler, Mina Karzand:
Regret Bounds and Regimes of Optimality for User-User and Item-Item Collaborative Filtering. - Brian C. Grubel, Bryan T. Bosworth, Michael R. Kossey, A. Brinton Cooper, Mark A. Foster, Amy C. Foster:
Information-Dense Nonlinear Photonic Physical Unclonable Function. - Anirudh Goyal, Nan Rosemary Ke, Surya Ganguli, Yoshua Bengio:
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net. - Lilian Besson, Emilie Kaufmann:
Multi-Player Bandits Models Revisited. - Reza Abbasi-Asl, Bin Yu:
Interpreting Convolutional Neural Networks Through Compression. - Fatmanur Gursoy, Elif Segah Oztas, Ayten Ozkan:
Reversible DNA codes over a family of non-chain rings. - Al-Hussein A. El-Shafie, Serag El-Din Habib:
A Survey on Hardware Implementations of Visual Object Trackers. - Rui Ponte Costa
Cortical microcircuits as gated-recurrent neural networks. - Taito Lee, Shin Matsushima, Kenji Yamanishi:
Grafting for Combinatorial Boolean Model using Frequent Itemset Mining. - Anastasios Kyrillidis, Amir Kalev, Dohyung Park, Srinadh Bhojanapalli, Constantine Caramanis, Sujay Sanghavi:
Provable quantum state tomography via non-convex methods. - Kwang-Sung Jun, Francesco Orabona, Stephen J. Wright, Rebecca Willett:
Online Learning for Changing Environments using Coin Betting. - Marcelo Forets, Amaury Pouly:
Explicit Error Bounds for Carleman Linearization. - Andreas Van Barel, Stefan Vandewalle:
Robust Optimization of PDEs with Random Coefficients Using a Multilevel Monte Carlo Method. - Elliot J. Crowley, Gavin Gray, Amos J. Storkey:
Moonshine: Distilling with Cheap Convolutions. - Jue Wang, Keith J. Bennett, Edward A. Guinness:
Virtual Astronaut for Scientific Visualization - A Prototype for Santa Maria Crater on Mars. - David A. Klindt, Alexander S. Ecker, Thomas Euler, Matthias Bethge:
Neural system identification for large populations separating "what" and "where". - Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin:
Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors. - Alessio Emanuele Biondo, Alessandro Pluchino
Modelling Surveys Effects in Political Competitions. - Matthias A. Lee, Tamas Budavari, Richard L. White
Robust Statistics for Image Deconvolution. - Ayaka Sakata, Yingying Xu:
Approximate message passing for nonconvex sparse regularization with stability and asymptotic analysis. - Qi Yan, Zhaofei Yu, Feng Chen, Jian K. Liu:
Revealing structure components of the retina by deep learning networks. - Ekin Dogus Cubuk, Barret Zoph, Samuel S. Schoenholz, Quoc V. Le:
Intriguing Properties of Adversarial Examples. - Yasuhiro Hashimoto, Mizuki Oka, Takashi Ikegami:
Anomalous popularity growth in social tagging ecosystems. - Flavio Maschietti, David Gesbert, Paul de Kerret:
Location-Aided Coordinated Analog Precoding for Uplink Multi-User Millimeter Wave Systems. - Mikhail Hayhoe, Fady Alajaji, Bahman Gharesifard:
Curing Epidemics on Networks using a Polya Contagion Model. - Daniel George, Eliu A. Huerta:
Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data. - Martin Alkämper, Fernando Gaspoz, Robert Klöfkorn:
A Weak Compatibility Condition for Newest Vertex Bisection in any dimension. - Sarah Jane Hamilton, Andreas Hauptmann:
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks. - Bojie Lv, Lexiang Huang, Rui Wang:
Cellular Offloading via Downlink Cache Placement. - Alessandro Achille, Stefano Soatto:
A Separation Principle for Control in the Age of Deep Learning. - Marcos Cardinot, Josephine Griffith, Colm O'Riordan:
A Further Analysis of The Role of Heterogeneity in Coevolutionary Spatial Games. - Pierre Lairez:
Rigid continuation paths I. Quasilinear average complexity for solving polynomial systems. - Xiaojing Zhang, Alexander Liniger, Francesco Borrelli:
Optimization-Based Collision Avoidance. - Kun Dong, David Eriksson, Hannes Nickisch, David Bindel, Andrew Gordon Wilson:
Scalable Log Determinants for Gaussian Process Kernel Learning. - David H. Wolpert:
Constraints on physical reality arising from a formalization of knowledge. - Igor G. Vladimirov
Invariant states of linear quantum stochastic systems under Weyl perturbations of the Hamiltonian and coupling operators. - Ali Khodabakhsh, Ger Yang, Soumya Basu, Evdokia Nikolova, Michael C. Caramanis, Thanasis Lianeas, Emmanouil Pountourakis:
A Submodular Approach for Electricity Distribution Network Reconfiguration. - Ahmed Elgammal, Yan Kang, Milko Den Leeuw:
Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication. - Manuel Eggimann, Christelle Gloor, Florian Scheidegger, Lukas Cavigelli, Michael Schaffner, Aljosa Smolic, Luca Benini:
Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS. - Francisco J. R. Ruiz, Susan Athey, David M. Blei:
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements. - Wahid Bhimji, Steven Andrew Farrell, Thorsten Kurth, Michela Paganini, Prabhat, Evan Racah:
Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC. - Yaniv Dover, Guy Kelman:
Emergence of online communities: Empirical evidence and theory. - Mokhtar Bouteggui, Fatiha Merazka:
Performance of Source transmit Antenna selection for MIMO cooperative communication System Based DF protocol: Symbol Error Rate and Diversity order. - Takehisa Iwakoshi:
Yuen's Criticisms on Security of Quantum Key Distribution and Onward. - Takehisa Iwakoshi:
Security of Quantum Key Distribution from Attacker's View. - Niladri S. Chatterji, Peter L. Bartlett:
Alternating minimization for dictionary learning with random initialization. - Shruti R. Kulkarni, John M. Alexiades
Learning and Real-time Classification of Hand-written Digits With Spiking Neural Networks. - Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
A Provable Approach for Double-Sparse Coding. - Anakha V. Babu, Bipin Rajendran:
Stochastic Deep Learning in Memristive Networks. - Liang He, Kang G. Shin:
How Long Will My Phone Battery Last? - Anthony Perez, Christopher Yeh, George Azzari, Marshall Burke, David B. Lobell, Stefano Ermon:
Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning. - Saber Jafarpour, Francesco Bullo:
Synchronization of Kuramoto Oscillators via Cutset Projections. - Alexander Scheel, Klaus Dietmayer:
Tracking Multiple Vehicles Using a Variational Radar Model. - Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan, Andreas Spanias:
Attend and Diagnose: Clinical Time Series Analysis using Attention Models. - Kuan Liu, Prem Natarajan:
WMRB: Learning to Rank in a Scalable Batch Training Approach. - Kuan Liu, Prem Natarajan:
A Batch Learning Framework for Scalable Personalized Ranking. - Yuval Peres, Miklós Z. Rácz, Allan Sly, Izabella Stuhl:
How fragile are information cascades? - Victor Garcia Satorras, Joan Bruna:
Few-Shot Learning with Graph Neural Networks. - Avinash Bukkittu, Baihan Lin
Parkinson's Disease Digital Biomarker Discovery with Optimized Transitions and Inferred Markov Emissions. - I. P. Goulden, L. Bruce Richmond, Jeffrey O. Shallit:
Disjoint covering systems and the reversion of the Möbius series. - Alexander V. Khoperskov, M. E. Kovalev, A. S. Astakhov, V. V. Novochadov, A. A. Terpilovskiy, K. P. Tiras, D. A. Malanin:
Software for full-color 3D reconstruction of the biological tissues internal structure. - Diego Marcondes, Adilson Simonis, Junior Barrera:
Feature Selection based on the Local Lift Dependence Scale. - Louis Tessler, Tim Byrnes:
Bitcoin and quantum computing. - Javad Heydari, Ali Tajer, H. Vincent Poor:
Quickest Detection of Markov Networks. - Valeriu Codreanu, Damian Podareanu, Vikram A. Saletore:
Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train. - Randall Balestriero, Vincent Roger, Hervé Glotin, Richard G. Baraniuk:
Semi-Supervised Learning via New Deep Network Inversion. - Antreas Antoniou
Data Augmentation Generative Adversarial Networks. - Bogdan Mazoure, Riashat Islam:
Alpha-Divergences in Variational Dropout. - Lefteris Fanioudakis, Ilyas Potamitis:
Deep Networks tag the location of bird vocalisations on audio spectrograms. - Ganna Raboshchuk, Sergi Gómez Quintana, Alex Peiró Lilja, Climent Nadeu:
Automatic detection of alarm sounds in a noisy hospital environment using model and non-model based approaches. - Nicolas Keriven
Blind Source Separation Using Mixtures of Alpha-Stable Distributions. - Andrey Kupavskii, János Pach, Gábor Tardos:
Tilings with noncongruent triangles. - Thomas Elsken, Jan Hendrik Metzen, Frank Hutter:
Simple And Efficient Architecture Search for Convolutional Neural Networks. - Markus Müller, Sebastian Stüker, Alex Waibel:
Phonemic and Graphemic Multilingual CTC Based Speech Recognition. - Markus Müller, Sebastian Stüker, Alex Waibel:
Multilingual Adaptation of RNN Based ASR Systems. - Thingom Bishal Singha, Rajsekhar Kumar Nath, A. V. Narsimhadhan:
Person Recognition using Smartphones' Accelerometer Data. - Lukas Schoenenberger, Radu Tanase:
Controlling complex policy problems: a multimethodological approach using system dynamics and network controllability. - George C. Linderman, Gal Mishne, Yuval Kluger, Stefan Steinerberger:
Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science. - Anirudh Goyal, Nan Rosemary Ke, Alex Lamb, R. Devon Hjelm, Chris Pal, Joelle Pineau, Yoshua Bengio:
ACtuAL: Actor-Critic Under Adversarial Learning. - Xiaohao Cai, Marcelo Pereyra, Jason D. McEwen:
Uncertainty quantification for radio interferometric imaging: I. proximal MCMC methods. - Xiaohao Cai, Marcelo Pereyra, Jason D. McEwen:
Uncertainty quantification for radio interferometric imaging: II. MAP estimation. - John Alberg, Zachary C. Lipton:
Improving Factor-Based Quantitative Investing by Forecasting Company Fundamentals. - John Thickstun, Zaïd Harchaoui, Dean P. Foster, Sham M. Kakade:
Invariances and Data Augmentation for Supervised Music Transcription. - Sambit Ghadai, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar:
Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes. - Adam Noel, Yuting Fang
Using Game Theory for Real-Time Behavioral Dynamics in Microscopic Populations with Noisy Signaling. - Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery. - Tobias Stollenwerk, Bryan O'Gorman, Davide Venturelli, Salvatore Mandrà, Olga Rodionova, Hokkwan Ng, Banavar Sridhar, Eleanor Gilbert Rieffel, Rupak Biswas:
Quantum Annealing Applied to De-Conflicting Optimal Trajectories for Air Traffic Management. - Prasanth Kotaru, Guofan Wu, Koushil Sreenath:
Differential-Flatness and Control of Quadrotor(s) with a Payload Suspended through Flexible Cable(s). - Dong Xia, Ming Yuan, Cun-Hui Zhang:
Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries. - Sen Na, Mingyuan Ma, Shuming Ma, Guangju Peng:
Stochastic Strictly Contractive Peaceman-Rachford Splitting Method. - Can Karakus, Yifan Sun, Suhas N. Diggavi, Wotao Yin:
Straggler Mitigation in Distributed Optimization Through Data Encoding. - Shujaat Khan, Muhammad Usman, Imran Naseem, Roberto Togneri, Mohammed Bennamoun:
A Robust Variable Step Size Fractional Least Mean Square (RVSS-FLMS) Algorithm. - Chenchao Zhao, Jun S. Song:
Quantum transport senses community structure in networks. - Bogdan Kulynych, Carmela Troncoso:
Feature importance scores and lossless feature pruning using Banzhaf power indices. - U. Ibrahim, A. Lotsi, Kwabena Doku-Amponsah:
Joint Large Deviation principle for empirical measures of the d-regular random graphs. - Kamil Paradowski, Agnieszka Kowalska-Styczen, Krzysztof Malarz
Influence of a range of interaction among agents on efficiency and effectiveness of knowledge transfer within an organisation. - Qianqian Yang, Pablo Piantanida, Deniz Gündüz:
The Multi-layer Information Bottleneck Problem. - Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang:
Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach. - Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Francisco Javier García-Haro, Gustau Camps-Valls:
Joint Gaussian Processes for Biophysical Parameter Retrieval. - Wenhao Li, Yu Nie, Zhongyao Yang, Shaochun Zheng, Dehui Wang:
Research on two-dimensional traffic flow model based on psychological field theory. - Michael Jarret, Kianna Wan:
Improved quantum backtracking algorithms through effective resistance estimates. - Chenxin Ma, Martin Jaggi, Frank E. Curtis, Nathan Srebro, Martin Takác:
An Accelerated Communication-Efficient Primal-Dual Optimization Framework for Structured Machine Learning. - Ahmad Beirami, Meisam Razaviyayn, Shahin Shahrampour, Vahid Tarokh:
On Optimal Generalizability in Parametric Learning. - Alistair Letcher, Jelena Trisovic, Collin Cademartori, Xi Chen, Jason Xu:
Automatic Conflict Detection in Police Body-Worn Video. - Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias:
Optimizing Kernel Machines using Deep Learning. - Zhanghan Tang, Margreta Kuijper, Michelle Chong, Iven Mareels, Christopher Leckie:
Linear system security - detection and correction of adversarial attacks in the noise-free case. - Rushil Anirudh, Jayaraman J. Thiagarajan, Rahul Sridhar, Timo Bremer:
Influential Sample Selection: A Graph Signal Processing Approach. - Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio:
Z-Forcing: Training Stochastic Recurrent Networks. - Shankar Kumar, Michael Nirschl, Daniel N. Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix X. Yu:
Lattice Rescoring Strategies for Long Short Term Memory Language Models in Speech Recognition. - Balázs Keszegh:
Coloring intersection hypergraphs of pseudo-disks. - Brendon K. Colbert, Matthew M. Peet:
A Convex Parametrization of a New Class of Universal Kernel Functions for use in Kernel Learning. - Simon Michalowsky, Bahman Gharesifard, Christian Ebenbauer:
A Lie bracket approximation approach to distributed optimization over directed graphs. - Jorge Almeida, Ondrej Klíma:
On the insertion of n-powers. - Grégoire Lafay, Emmanouil Benetos, Mathieu Lagrange:
Sound Event Detection in Synthetic Audio: Analysis of the DCASE 2016 Task Results. - Mohammad Emtiyaz Khan, Wu Lin, Voot Tangkaratt, Zuozhu Liu, Didrik Nielsen:
Variational Adaptive-Newton Method for Explorative Learning. - Angelos Aveklouris, Maria Vlasiou
A Stochastic Resource-Sharing Network for Electric Vehicle Charging. - Mathias Lepoutre:
A bijective proof of the enumeration of maps in higher genus. - Jop Briët, Sivakanth Gopi:
Gaussian width bounds with applications to arithmetic progressions in random settings. - John Ternovski, Taha Yasseri
Social Complex Contagion in Music Listenership: A Natural Experiment with 1.3 Million Participants. - Samira Shabanian, Devansh Arpit, Adam Trischler, Yoshua Bengio:
Variational Bi-LSTMs. - Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari:
Markov Decision Processes with Continuous Side Information. - Guanghui Lan, Yi Zhou:
Random gradient extrapolation for distributed and stochastic optimization. - Eugene Kogan:
Set complexity of construction of a regular polygon. - Yangyang Xu:
Global convergence rates of augmented Lagrangian methods for constrained convex programming. - Paul Bradley, John Smethurst:
Python Implementation and Construction of Finite Abelian Groups. - Richard G. Everitt
Bootstrapped synthetic likelihood. - Saandeep Depatla, Yasamin Mostofi:
Crowd Counting Through Walls Using WiFi. - Saandeep Depatla, Yasamin Mostofi:
Passive Crowd Speed Estimation With WiFi. - He Zhang, Hanlin Mo, You Hao, Shirui Li, Hua Li:
Fast and Efficient Calculations of Structural Invariants of Chirality. - Samuel Burkart, Franz J. Király:
Predictive Independence Testing, Predictive Conditional Independence Testing, and Predictive Graphical Modelling. - He Guo
Packing nearly optimal Ramsey R(3, t) graphs. - Ruofei Ouyang, Kian Hsiang Low:
Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception. - Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz:
Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment. - Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability. - Tejas Dharamsi, Payel Das, Tejaswini Pedapati, Gregory Bramble, Vinod Muthusamy, Horst Samulowitz, Kush R. Varshney, Yuvaraj Rajamanickam, John Thomas, Justin Dauwels:
Neurology-as-a-Service for the Developing World. - Aditya Balu, Thanh Van Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar:
A Forward-Backward Approach for Visualizing Information Flow in Deep Networks. - Zhanshan (Sam) Ma:
Extending species-area relationships (SAR) to diversity-area relationships (DAR). - Jiaxi Liang, Shoja'eddin Chenouri, Christopher G. Small:
A New Method for Performance Analysis in Nonlinear Dimensionality Reduction. - Eliu A. Huerta, C. J. Moore, Prayush Kumar
ENIGMA: Eccentric, Non-spinning, Inspiral Gaussian-process Merger Approximant for the characterization of eccentric binary black hole mergers. - Boris Babenko, Jonathan Hersh, David Newhouse, Anusha Ramakrishnan, Tom Swartz:
Poverty Mapping Using Convolutional Neural Networks Trained on High and Medium Resolution Satellite Images, With an Application in Mexico. - Yunpeng Li, Davide Zilli, Henry C. B. Chan, Ivan Kiskin
Mosquito detection with low-cost smartphones: data acquisition for malaria research. - Charles C. Onu, Innocent Udeogu, Eyenimi Ndiomu, Urbain Kengni, Doina Precup, Guilherme M. Sant'Anna, Edward Alikor, Peace Opara:
Ubenwa: Cry-based Diagnosis of Birth Asphyxia. - Seong Jin Cho, Sunghun Kang, Chang D. Yoo:
A Resizable Mini-batch Gradient Descent based on a Randomized Weighted Majority. - Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size. - Xiaoting Liu, Hongguang Sun, Yong Zhang, Zhuojia Fu:
A scale-dependent finite difference method for time fractional derivative relaxation type equations. - Jens Berg, Kaj Nyström:
A unified deep artificial neural network approach to partial differential equations in complex geometries. - Jihui Han, Wei Li, Longfeng Zhao, Zhu Su, Yijiang Zou, Weibing Deng:
Community Detection in Dynamic Networks via Adaptive Label Propagation. - Pouya Ghaemmaghami:
Reconstruction of the External Stimuli from Brain Signals. - Jun-ya Gotoh, Michael Jong Kim, Andrew E. B. Lim:
Calibration of Distributionally Robust Empirical Optimization Models. - Christoph Kawan, Serdar Yüksel:
On optimal coding of non-linear dynamical systems. - Thomas B. Berrett, Richard J. Samworth:
Nonparametric independence testing via mutual information. - Nathan Wiebe, Ram Shankar Siva Kumar:
Hardening Quantum Machine Learning Against Adversaries. - Palma London, Shai Vardi, Adam Wierman, Hanling Yi:
A Parallelizable Acceleration Framework for Packing Linear Programs. - David Madras, Toniann Pitassi, Richard S. Zemel:
Predict Responsibly: Increasing Fairness by Learning To Defer. - Zhigang Yao, Zhenyue Zhang:
Principal Boundary on Riemannian Manifolds. - Alexander Terenin, Eric P. Xing:
Techniques for proving Asynchronous Convergence results for Markov Chain Monte Carlo methods. - Katharina T. Huber, Vincent Moulton, Charles Semple, Taoyang Wu:
Quarnet inference rules for level-1 networks. - Zachary Charles, Dimitris S. Papailiopoulos, Jordan S. Ellenberg:
Approximate Gradient Coding via Sparse Random Graphs. - Zhi Li, Ming Yan:
A primal-dual algorithm with optimal stepsizes and its application in decentralized consensus optimization. - Minmin Chen:
MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks. - José-Marcio Luna, Eric Eaton, Lyle H. Ungar, Eric S. Diffenderfer, Shane T. Jensen, Efstathios D. Gennatas, Mateo Wirth, Charles B. Simone II, Timothy D. Solberg, Gilmer Valdes:
Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees. - Medha Katehara, Emma Beauxis-Aussalet, Bilal Alsallakh:
Prediction Scores as a Window into Classifier Behavior. - Luca Sanguinetti, Antonio A. D'Amico, Michele Morelli, Mérouane Debbah:
Random Access in Massive MIMO by Exploiting Timing Offsets and Excess Antennas. - Yue Ren, Johannes W. R. Martini, Jacinta Torres:
Decoupled molecules with binding polynomials of bidegree (n, 2). - Cinzia Viroli, Geoffrey J. McLachlan:
Deep Gaussian Mixture Models. - Ziming Zhang, Yuanwei Wu, Guanghui Wang:
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning. - Zhifeng Kong:
Convergence Analysis of the Dynamics of a Special Kind of Two-Layered Neural Networks with 𝓵1 and 𝓵2 Regularization. - Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low:
Decentralized High-Dimensional Bayesian Optimization with Factor Graphs. - Jay A. Hennig, Akash Umakantha, Ryan C. Williamson:
A Classifying Variational Autoencoder with Application to Polyphonic Music Generation. - V. Azzolini, Maxim Borisyak, Gianluca Cerminara, Denis Derkach, Giovanni Franzoni, F. De Guio, O. Koval, Maurizio Pierini, Adrian Alan Pol
Deep learning for inferring cause of data anomalies. - Zachary C. Lipton, Alexandra Chouldechova, Julian J. McAuley:
Does mitigating ML's disparate impact require disparate treatment? - Maria Dimakopoulou, Susan Athey, Guido Imbens:
Estimation Considerations in Contextual Bandits. - Matías Vera, Leonardo Rey Vega
Compression-Based Regularization with an Application to Multi-Task Learning. - Dilin Wang, Zhe Zeng, Qiang Liu:
Structured Stein Variational Inference for Continuous Graphical Models. - Srinivasan Arunachalam, Jop Briët, Carlos Palazuelos:
Quantum Query Algorithms are Completely Bounded Forms. - Alexander Liniger, Alexander Domahidi, Manfred Morari:
Optimization-Based Autonomous Racing of 1: 43 Scale RC Cars. - Ananya Saha, Buddhadeb Sau:
Solution of network localization problem with noisy distances and its convergence. - Ziming Zhang, Matthew Brand:
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks. - Sam Kriegman, Nick Cheney, Josh C. Bongard:
How morphological development can guide evolution. - Taewan Kim, Joydeep Ghosh:
Relaxed Oracles for Semi-Supervised Clustering. - Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos:
On Convergence of Epanechnikov Mean Shift. - Avgoustinos Vouros, Tiago V. Gehring, Kinga Szydlowska, Artur Janusz, Mike Croucher, Katarzyna Lukasiuk, Witold Konopka, Carmen Sandi, Eleni Vasilaki:
A generalised framework for detailed classification of swimming paths inside the Morris Water Maze. - Daniel George, Hongyu Shen, Eliu A. Huerta:
Glitch Classification and Clustering for LIGO with Deep Transfer Learning. - Matthew Norton, Akiko Takeda, Alexander Mafusalov:
Optimistic Robust Optimization With Applications To Machine Learning. - Peter Donelan, Jon M. Selig:
Hyperbolic pseudoinverses for kinematics in the Euclidean group. - Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh:
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective. - Yu Wang, Yun Shang:
Pure state 'really' informationally complete with rank-1 POVM. - Ulf Aslak, Martin Rosvall, Sune Lehmann:
Constrained information flows in temporal networks reveal intermittent communities. - Wataru Kumagai:
Regret Analysis for Continuous Dueling Bandit. - Héctor J. García, Igor L. Markov, Andrew W. Cross:
On the Geometry of Stabilizer States. - Yanan Sui, Kun Ho Kim, Joel W. Burdick:
Quantifying Performance of Bipedal Standing with Multi-channel EMG. - Kejun Huang, Nicholas D. Sidiropoulos:
Kullback-Leibler Principal Component for Tensors is not NP-hard. - Daniel George, Eliu A. Huerta:
Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with Advanced LIGO Data. - Zhong Meng, Shinji Watanabe, John R. Hershey, Hakan Erdogan:
Deep Long Short-Term Memory Adaptive Beamforming Networks For Multichannel Robust Speech Recognition. - Tongyi Cao, Akshay Krishnamurthy:
Disagreement-based combinatorial pure exploration: Efficient algorithms and an analysis with localization. - Yangyang Xu:
First-order methods for constrained convex programming based on linearized augmented Lagrangian function. - Mauricio Carrillo-Tripp, Leonardo Alvarez-Rivera, Omar Israel Lara-Ramírez, Francisco Javier Becerra-Toledo, Adan Vega-Ramírez, Emmanuel Quijas-Valades, Eduardo González-Zavala, Julio Cesar González-Vázquez, Javier García-Vieyra, Nelly Beatriz Santoyo-Rivera, Amilcar Meneses Viveros, Sergio Víctor Chapa Vergara:
HTMoL: full-stack solution for remote access, visualization, and analysis of Molecular Dynamics trajectory data. - Jing Xu, Jakub Marecek:
Parameter Estimation in Gaussian Mixture Models with Malicious Noise, without Balanced Mixing Coefficients. - Zohaib Iqbal, Da Luo, Peter Henry, Samaneh Kazemifar, Timothy Rozario, Yulong Yan, Kenneth Westover, Weiguo Lu, Dan Nguyen, Troy Long, Jing Wang, Hak Choy, Steve B. Jiang:
Accurate Real Time Localization Tracking in A Clinical Environment using Bluetooth Low Energy and Deep Learning. - Shota Saito, Danilo P. Mandic, Hideyuki Suzuki:
Hypergraph p-Laplacian: A Differential Geometry View. - Valerio Maggio
A multiobjective deep learning approach for predictive classification in Neuroblastoma. - Kai-Uwe Schmidt:
Asymptotically optimal Boolean functions. - Ambrish Rawat, Martin Wistuba, Maria-Irina Nicolae:
Adversarial Phenomenon in the Eyes of Bayesian Deep Learning. - Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini:
Decomposition Strategies for Constructive Preference Elicitation. - Priyanka Dey, Niranjan Balachandran, Debasish Chatterjee:
Efficient constrained sensor placement for observability of linear systems via greedy algorithms. - Kamal Singh:
Optimal Power Control in Decentralized Gaussian Multiple Access Channels. - Vishal Sharma, Subhashish Banerjee:
Analysis of atmospheric effects on satellite based quantum communication: A comparative study. - Corentin Briat, Ankit Gupta, Mustafa Khammash:
Variance reduction for antithetic integral control of stochastic reaction networks. - Omar Fawzi, Antoine Grospellier, Anthony Leverrier:
Efficient decoding of random errors for quantum expander codes. - Naman Agarwal, Sham M. Kakade, Rahul Kidambi, Yin Tat Lee, Praneeth Netrapalli, Aaron Sidford:
Leverage Score Sampling for Faster Accelerated Regression and ERM. - Xavier Goaoc, Pavel Paták, Zuzana Patáková, Martin Tancer, Uli Wagner:
Shellability is NP-complete. - Iván Rodríguez-Montoya
Multiple component decomposition from millimeter single-channel data. - Peter J. Humphries:
Counting paths in perfect trees. - Rouhollah Mousavi Iraei, Nickvash Kani, Sourav Dutta, Dmitri E. Nikonov, Sasikanth Manipatruni, Ian A. Young, John T. Heron, Azad Naeemi:
Clocked Magnetostriction-Assisted Spintronic Device Design and Simulation. - Carolin Lawrence, Pratik Gajane, Stefan Riezler:
Counterfactual Learning for Machine Translation: Degeneracies and Solutions. - Søren Dahlgaard, Mathias Bæk Tejs Knudsen, Mikkel Thorup:
Practical Hash Functions for Similarity Estimation and Dimensionality Reduction. - Michela Paganini:
Machine Learning Algorithms for b-Jet Tagging at the ATLAS Experiment. - Luke de Oliveira, Michela Paganini, Benjamin Nachman:
Controlling Physical Attributes in GAN-Accelerated Simulation of Electromagnetic Calorimeters. - Daniel Czech, Amit Mishra, Michael Inggs:
A Dictionary Approach to Identifying Transient RFI. - Jiantao Jiao, Weihao Gao, Yanjun Han:
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. - Bartlomiej Bosek, Przemyslaw Gordinowicz, Jaroslaw Grytczuk, Nicolas Nisse, Joanna Sokól, Malgorzata Sleszynska-Nowak:
Centroidal localization game. - Konrad K. Dabrowski, Vadim V. Lozin, Daniël Paulusma:
Clique-width and Well-Quasi-Ordering of Triangle-Free Graph Classes. - Paulo J. P. de Souza, Cesar H. Comin, Luciano da F. Costa:
Topology and Dynamics in Complex Networks: The Role of Edge Reciprocity. - Magnus Bordewich, Katharina T. Huber, Vincent Moulton, Charles Semple:
Recovering tree-child networks from shortest inter-taxa distance information. - Namkyu Jung
Continuous Semantic Topic Embedding Model Using Variational Autoencoder. - Pascal Kerschke, Heike Trautmann:
Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning. - Arnold Kalmbach, Heidi M. Sosik, Gregory Dudek, Yogesh A. Girdhar:
Learning Seasonal Phytoplankton Communities with Topic Moldes. - Shannon Egan, Wojciech Fedorko, Alison Lister
Long Short-Term Memory (LSTM) networks with jet constituents for boosted top tagging at the LHC. - (Withdrawn) The Expected Achievable Distortion of Two-User Decentralized Interference Channels.
- Momchil Peychev, Petar Velickovic, Pietro Liò:
Quantifying the Effects of Enforcing Disentanglement on Variational Autoencoders. - Vincent Zhao, Steven W. Zucker:
Feature Selection Facilitates Learning Mixtures of Discrete Product Distributions. - Pritam Mukherjee, L. Satish:
On the Inverse of Forward Adjacency Matrix. - Zahra Sadeghigol, Hadi Zayyani, Hamidreza Abin, Farokh Marvasti:
Multivariate Copula Spatial Dependency in One Bit Compressed Sensing. - Shuai Zhang
Stacked Kernel Network. - Daniel Levy, Matthew D. Hoffman, Jascha Sohl-Dickstein:
Generalizing Hamiltonian Monte Carlo with Neural Networks. - Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe:
An Adaptive Strategy for Active Learning with Smooth Decision Boundary. - Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin:
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. - Matthew de Brecht:
A generalization of a theorem of Hurewicz for quasi-Polish spaces. - Khanh Quoc Dinh, Thuong Nguyen Canh
Compressive Sensing of Color Images Using Nonlocal Higher Order Dictionary. - Margherita Porcelli, Philippe L. Toint:
A note on using performance and data profilesfor training algorithms. - Unai Alvarez-Rodriguez, Mikel Sanz, Lucas Lamata, Enrique Solano:
Quantum Artificial Life in an IBM Quantum Computer. - Mirco Ravanelli, Piergiorgio Svaizer, Maurizio Omologo:
Realistic multi-microphone data simulation for distant speech recognition. - Housam Khalifa Bashier Babiker, Randy Goebel:
An Introduction to Deep Visual Explanation. - Hyemin Han, Kangwook Lee, Firat Soylu:
Simulating outcomes of interventions using a multipurpose simulation program based on the Evolutionary Causal Matrices and Markov Chain. - Matthew O. Jackson:
A Typology of Social Capital and Associated Network Measures. - Yafeng Liu, Shimin Feng, Zhikai Zhao, Enjie Ding:
Highly Efficient Human Action Recognition with Quantum Genetic Algorithm Optimized Support Vector Machine. - Oliver Knill:
One can hear the Euler characteristic of a simplicial complex. - Xiyu Yu, Tongliang Liu, Mingming Gong, Dacheng Tao:
Learning with Biased Complementary Labels. - Jasper Zuallaert, Mijung Kim, Yvan Saeys, Wesley De Neve:
Interpretable Convolutional Neural Networks for Effective Translation Initiation Site Prediction. - Alex Bredariol Grilo:
Relativistic verifiable delegation of quantum computation. - Tal Shnitzer, Ronen Talmon, Jean-Jacques E. Slotine:
Diffusion Maps Kalman Filter. - Olivier Bachem, Mario Lucic, Silvio Lattanzi:
One-Shot Coresets: The Case of k-Clustering. - Mariya Bessonov, Dima Grigoriev, Vladimir Shpilrain:
Probabilistic solution of Yao's millionaires' problem. - Michel Boyer, Rotem Liss
Composable Security Against Collective Attacks of a Modified BB84 QKD Protocol with Information only in One Basis. - Florio M. Ciaglia, Fabio Di Cosmo, Marco Laudato, Giuseppe Marmo, Fabio M. Mele, Franco Ventriglia, Patrizia Vitale:
A Pedagogical Intrinsic Approach to Relative Entropies as Potential Functions of Quantum Metrics: the q-z Family. - Slobodan Milovanovic, Victor Shcherbakov:
Pricing Derivatives under Multiple Stochastic Factors by Localized Radial Basis Function Methods. - Photios A. Stavrou, Takashi Tanaka, Sekhar Tatikonda:
The Time-Invariant Multidimensional Gaussian Sequential Rate-Distortion Problem Revisited. - James B. Aimone, William M. Severa:
Context-modulation of hippocampal dynamics and deep convolutional networks. - Sandro Claudio Lera, Didier Sornette:
Classification of dragon-king phases in preferential attachment and failure models. - Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao:
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders. - Oliver W. Gnilke, Marcus Greferath, Thomas Honold, Jay A. Wood, Jens Zumbrägel:
The Extension Theorem for Bi-invariant Weights over Frobenius Rings and Frobenius Bimodules. - Jose M. Peña:
Identification of Strong Edges in AMP Chain Graphs. - Sibo Tong, Philip N. Garner, Hervé Bourlard:
Multilingual Training and Cross-lingual Adaptation on CTC-based Acoustic Model. - Harish S. Bhat, Sidra J. Goldman-Mellor:
Predicting Adolescent Suicide Attempts with Neural Networks. - Qing Zhou, Songfeng Lu:
Quantum Search on Encrypted Data Based on Quantum Homomorphic Encryption. - Qingquan Song, Hancheng Ge, James Caverlee, Xia Hu:
Tensor Completion Algorithms in Big Data Analytics. - Ching-An Cheng, Byron Boots:
Variational Inference for Gaussian Process Models with Linear Complexity. - Jeff Calder:
The game theoretic p-Laplacian and semi-supervised learning with few labels. - Tomás Kliegr:
Quantitative CBA: Small and Comprehensible Association Rule Classification Models. - Hai Nguyen, Shin-ichi Maeda, Kenta Oono:
Semi-supervised learning of hierarchical representations of molecules using neural message passing. - Rohan Chandra, Ziyuan Zhong, Justin Hontz, Val McCulloch, Christoph Studer, Tom Goldstein:
PhasePack: A Phase Retrieval Library. - Mohsen Ahmadi Fahandar, Eyke Hüllermeier:
Learning to Rank based on Analogical Reasoning. - Sarod Yatawatta, Faruk Diblen, Hanno Spreeuw, L. V. E. Koopmans:
Data Multiplexing in Radio Interferometric Calibration. - Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet:
Are GANs Created Equal? A Large-Scale Study. - Ping Guo, Fuqing Duan, Pei Wang, Yao Yao, Xin Xin:
Pulsar Candidate Identification with Artificial Intelligence Techniques. - Vassilis N. Ioannidis, Meng Ma, Athanasios N. Nikolakopoulos, Georgios B. Giannakis:
Kernel-based Inference of Functions over Graphs. - Lily McElwee, Taha Yasseri
Social Media, Money, and Politics: Campaign Finance in the 2016 US Congressional Cycle. - Cristina Flaut:
Some remarks regarding Quaternions and Octonions. - Joan T. Matamalas, Alex Arenas, Sergio Gómez:
Link equations for discrete-time epidemic processes in complex network. - Brendan Fong, David I. Spivak, Rémy Tuyéras
Backprop as Functor: A compositional perspective on supervised learning. - Ata Khalili, Soroush Akhlaghi:
Power Control and Scheduling In Low SNR Region In The Uplink of Two Cell Networks. - Wajid Arshad Abbasi, Fahad Ul Hassan, Adiba Yaseen, Fayyaz ul Amir Afsar Minhas:
ISLAND: In-Silico Prediction of Proteins Binding Affinity Using Sequence Descriptors. - Tomoyuki Morimae, Yuki Takeuchi, Harumichi Nishimura:
Merlin-Arthur with efficient quantum Merlin and quantum supremacy for the second level of the Fourier hierarchy. - Maryam Bahrani, Jérémie O. Lumbroso:
Split-Decomposition Trees with Prime Nodes: Enumeration and Random Generation of Cactus Graphs. - Florian Bernard, Christian Theobalt, Michael Möller:
Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems. - Andreas Svensson, Fredrik Lindsten, Thomas B. Schön:
Learning nonlinear state-space models using smooth particle-filter-based likelihood approximations. - Stephan Rabanser, Oleksandr Shchur, Stephan Günnemann:
Introduction to Tensor Decompositions and their Applications in Machine Learning. - Hoang-Thach Nguyen, Tran Thi Thu Huong:
A maximizing characteristic for critical configurations of chip-firing games on digraphs. - Steffen Müthing, Marian Piatkowski, Peter Bastian:
High-performance Implementation of Matrix-free High-order Discontinuous Galerkin Methods. - Iñigo Casanueva, Pawel Budzianowski, Pei-Hao Su, Nikola Mrksic, Tsung-Hsien Wen, Stefan Ultes, Lina Maria Rojas-Barahona, Steve J. Young, Milica Gasic:
A Benchmarking Environment for Reinforcement Learning Based Task Oriented Dialogue Management. - Sebastian Urban, Marcus Basalla, Patrick van der Smagt
Gaussian Process Neurons Learn Stochastic Activation Functions. - Sinan G. Aksoy, Emilie Purvine, Eduardo Cotilla Sanchez, Mahantesh Halappanavar:
A generative graph model for electrical infrastructure networks. - Paulin Jacquot, Olivier Beaude, Stéphane Gaubert, Nadia Oudjane:
Demand Side Management in the Smart Grid: an Efficiency and Fairness Tradeoff. - Hyunwoo Lee, Jooyoung Kim, Dojun Yang, Joon-Ho Kim:
Embedded Real-Time Fall Detection Using Deep Learning For Elderly Care. - Christos Thrampoulidis, Weiyu Xu, Babak Hassibi:
Symbol Error Rate Performance of Box-relaxation Decoders in Massive MIMO. - Yizhi Song, Cheng Xu, Daoxin Ding, Hang Zhou, Tingwei Quan, Shiwei Li:
Properties on n-dimensional convolution for image deconvolution. - Yudong Cao, Gian Giacomo Guerreschi, Alán Aspuru-Guzik:
Quantum Neuron: an elementary building block for machine learning on quantum computers. - Takuhiro Kaneko, Hirokazu Kameoka:
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks. - Paulin Jacquot, Olivier Beaude, Nadia Oudjane, Stephane Gaubert:
Demand Response in the Smart Grid: the Impact of Consumers Temporal Preferences. - Renato Portugal:
Element Distinctness Revisited. - Nicolas Broutin, Henning Sulzbach:
A limit field for orthogonal range searches in two-dimensional random point search trees. - Mostafa Dehghani, Aliaksei Severyn, Sascha Rothe, Jaap Kamps:
Learning to Learn from Weak Supervision by Full Supervision. - Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard:
On reducing the communication cost of the diffusion LMS algorithm. - Tales Imbiriba, José Carlos M. Bermudez, Jean-Yves Tourneret, Neil J. Bershad:
Technical Report: A New Decision-Theory-Based Framework for Echo Canceler Control. - Christopher Tegho, Pawel Budzianowski, Milica Gasic:
Uncertainty Estimates for Efficient Neural Network-based Dialogue Policy Optimisation. - Prasad Raghavendra, Nick Ryder, Nikhil Srivastava, Benjamin Weitz:
Exponential lower bounds on spectrahedral representations of hyperbolicity cones. - Akisato Kimura, Ichiro Takahashi, Masaomi Tanaka, Naoki Yasuda, Naonori Ueda, Naoki Yoshida:
Single-epoch supernova classification with deep convolutional neural networks. - Kshiteej Sheth, Dinesh Garg, Anirban Dasgupta:
Improved Linear Embeddings via Lagrange Duality. - Stefan Ehard, Dieter Rautenbach:
Approximating Connected Safe Sets in Weighted Trees. - Khondkar R. Islam, Pouyan Ahmadi, Salman Yousaf:
Assessment Formats and Student Learning Performance: What is the Relation? - Pouyan Ahmadi, Khondkar R. Islam, Salman Yousaf:
An Empirical Study of Teaching Methodologies and Learning Outcomes for Online and in-class Networking Course Sections. - Soroosh Shahtalebi, Arash Mohammadi, Seyed Farokh Atashzar, Rajni V. Patel:
WAKE: Wavelet Decomposition Coupled with Adaptive Kalman Filtering for Pathological Tremor Extraction. - Therese Anders, Hong Xu, Cheng Cheng, T. K. Satish Kumar:
Measuring Territorial Control in Civil Wars Using Hidden Markov Models: A Data Informatics-Based Approach. - Yifan Chen, Yuejiao Sun, Wotao Yin:
Run-and-Inspect Method for Nonconvex Optimization and Global Optimality Bounds for R-Local Minimizers. - I. Zakir Ahmed, Hamid R. Sadjadpour, Shahram Yousefi:
A Joint Combiner and Bit Allocation Design for Massive MIMO Using Genetic Algorithm. - Kristian Gustavsson, Luca Biferale, Antonio Celani, Simona Colabrese:
Finding Efficient Swimming Strategies in a Three Dimensional Chaotic Flow by Reinforcement Learning. - Jeremie S. Kim, Damla Senol Cali, Hongyi Xin, Donghyuk Lee, Saugata Ghose, Mohammed Alser, Hasan Hassan, Oguz Ergin, Can Alkan, Onur Mutlu:
GRIM-Filter: Fast Seed Location Filtering in DNA Read Mapping Using Processing-in-Memory Technologies.
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