cs.AI - 人工智能
cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.GN - 一般经济学 eess.IV - 图像与视频处理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.TO - 组织和器官 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Generalized Planning With Procedural Domain Control Knowledge
• [cs.AI]Modeling Conceptual Understanding in Image Reference Games
• [cs.AI]Prediction-based Resource Allocation using Bayesian Neural Networks and Minimum Cost and Maximum Flow Algorithm
• [cs.AI]Relation learning in a neurocomputational architecture supports cross-domain transfer
• [cs.CL]Automatic segmentation of texts into units of meaning for reading assistance
• [cs.CL]BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels
• [cs.CL]Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling
• [cs.CL]Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction
• [cs.CL]How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages
• [cs.CL]Keyphrase Generation: A Multi-Aspect Survey
• [cs.CL]Learning Analogy-Preserving Sentence Embeddings for Answer Selection
• [cs.CL]Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
• [cs.CL]Neural Generation for Czech: Data and Baselines
• [cs.CL]The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents
• [cs.CL]exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models
• [cs.CR]Hear “No Evil”, See “Kenansville”: Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems
• [cs.CV]An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications
• [cs.CV]Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
• [cs.CV]Augmented Hard Example Mining for Generalizable Person Re-Identification
• [cs.CV]CHD:Consecutive Horizontal Dropout for Human Gait Feature Extraction
• [cs.CV]Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval
• [cs.CV]DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks
• [cs.CV]End-to-End Defect Detection in Automated Fiber Placement Based on Artificially Generated Data
• [cs.CV]FetusMap: Fetal Pose Estimation in 3D Ultrasound
• [cs.CV]From Species to Cultivar: Soybean Cultivar Recognition using Multiscale Sliding Chord Matching of Leaf Images
• [cs.CV]Interaction Relational Network for Mutual Action Recognition
• [cs.CV]Methods and open-source toolkit for analyzing and visualizing challenge results
• [cs.CV]Road Damage Detection Based on Unsupervised Disparity Map Segmentation
• [cs.CV]Rosetta: Large scale system for text detection and recognition in images
• [cs.CV]Shape Constrained Network for Eye Segmentation in the Wild
• [cs.CV]Shooting Labels: 3D Semantic Labeling by Virtual Reality
• [cs.CV]VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition
• [cs.CV]Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities
• [cs.CY]Hindsight Analysis of the Chicago Food Inspection Forecasting Model
• [cs.DB]Sub-query Fragmentation for Query Analysis and Data Caching in the Distributed Environment
• [cs.DC]Blink: Fast and Generic Collectives for Distributed ML
• [cs.DC]DBCSR: A Library for Dense Matrix Multiplications on Distributed GPU-Accelerated Systems
• [cs.DC]PipeMare: Asynchronous Pipeline Parallel DNN Training
• [cs.GR]Single Image BRDF Parameter Estimation with a Conditional Adversarial Network
• [cs.HC]As You Are, So Shall You Move Your Head: A System-Level Analysis between Head Movements and Corresponding Traits and Emotions
• [cs.HC]Automating dynamic consent decisions for the processing of social media data in health research
• [cs.HC]Designing an AI Health Coach and Studying its Utility in Promoting Regular Aerobic Exercise
• [cs.IR]DDTCDR: Deep Dual Transfer Cross Domain Recommendation
• [cs.IR]GREASE: A Generative Model for Relevance Search over Knowledge Graphs
• [cs.IR]Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation
• [cs.IR]Video Summarization using Keyframe Extraction and Video Skimming
• [cs.IT]Dynamic Spectrum Sharing for Load Balancing in Multi-Cell Mobile Edge Computing
• [cs.IT]Optimal Control of Status Updates in a Multiple Access Channel with Stability Constraints
• [cs.IT]Preconditioned Multiple Orthogonal Least Squares and Applications in Ghost Imaging via Sparsity Constraint
• [cs.LG]A Nonparametric Bayesian Model for Sparse Temporal Multigraphs
• [cs.LG]Aff-Wild Database and AffWildNet
• [cs.LG]Central Server Free Federated Learning over Single-sided Trust Social Networks
• [cs.LG]Coloring the Black Box: Visualizing neural network behavior with a self-introspective model
• [cs.LG]Customizing Sequence Generation with Multi-Task Dynamical Systems
• [cs.LG]Dealing with Stochasticity in Biological ODE Models
• [cs.LG]Decaying momentum helps neural network training
• [cs.LG]Decoupling Hierarchical Recurrent Neural Networks With Locally Computable Losses
• [cs.LG]Deep Kernel Transfer in Gaussian Processes for Few-shot Learning
• [cs.LG]Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning
• [cs.LG]Evaluating Semantic Representations of Source Code
• [cs.LG]Evolving Gaussian Process kernels from elementary mathematical expressions
• [cs.LG]Fairness in Clustering with Multiple Sensitive Attributes
• [cs.LG]Finding Interpretable Concept Spaces in Node Embeddings using Knowledge Bases
• [cs.LG]Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge
• [cs.LG]Improving Generalization and Robustness with Noisy Collaboration in Knowledge Distillation
• [cs.LG]Inundation Modeling in Data Scarce Regions
• [cs.LG]Learning Cluster Structured Sparsity by Reweighting
• [cs.LG]Privacy-Preserving Contextual Bandits
• [cs.LG]Query-by-example on-device keyword spotting
• [cs.LG]R-SQAIR: Relational Sequential Attend, Infer, Repeat
• [cs.LG]Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond
• [cs.LG]Rk-means: Fast Clustering for Relational Data
• [cs.LG]SUM: Suboptimal Unitary Multi-task Learning Framework for Spatiotemporal Data Prediction
• [cs.LG]Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging
• [cs.LG]The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos?
• [cs.LG]Verification of Neural Networks: Specifying Global Robustness using Generative Models
• [cs.MA]Modeling Cyber-Physical Human Systems via an Interplay Between Reinforcement Learning and Game Theory
• [cs.MM]Multi-modal Deep Analysis for Multimedia
• [cs.NE]Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs)
• [cs.NE]Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions
• [cs.NE]On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor
• [cs.NE]Spacecraft design optimisation for demise and survivability
• [cs.NE]Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks
• [cs.RO]Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model
• [cs.RO]Autonomous Shuttles for Last-Mile Connectivity
• [cs.RO]Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
• [cs.RO]Coarse-To-Fine Visual Localization Using Semantic Compact Map
• [cs.RO]Design and Prototyping of a Bio-inspired Kinematic Sensing Suit for the Shoulder Joint: Precursor to a Multi-DoF Shoulder Exosuit
• [cs.RO]Learning from demonstration with model-based Gaussian process
• [cs.RO]Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects
• [cs.RO]Trajectory Planning for Autonomous Parking in Complex Environments: A Tunnel-based Optimal Control Approach
• [cs.SI]A Geometric Model of Opinion Polarization
• [cs.SI]Learning Invariant Representations of Social Media Users
• [cs.SI]Link Prediction via Deep Learning
• [cs.SI]Patterns of Multiplex Layer Entanglement across Real and Synthetic Networks
• [cs.SI]Recovering the past states of growing trees
• [cs.SI]The Foundations of Political Realism
• [econ.EM]Latent Dirichlet Analysis of Categorical Survey Responses
• [econ.GN]Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution
• [eess.IV]Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation
• [eess.IV]ErrorNet: Learning error representations from limited data to improve vascular segmentation
• [eess.IV]Estimating Solar Irradiance Using Sky Imagers
• [math.OC]General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
• [math.OC]Nonsmooth Convex Joint Estimation of Local Regularity and Local Variance for Fractal Texture Segmentation
• [math.OC]Variational Path Optimization of Linear Pentapods with a Simple Singularity Variety
• [math.PR]A Mathematical Analysis of Memory Lifetime in a simple Network Model of Memory
• [math.PR]Regeneration-enriched Markov processes with application to Monte Carlo
• [math.PR]The density of complex zeros of random sums
• [math.ST]Analytical Quantile Solution for the S-distribution, Random Number Generation and Statistical Data Modeling
• [math.ST]Fitting a manifold of large reach to noisy data
• [physics.comp-ph]Predicting dynamical system evolution with residual neural networks
• [physics.soc-ph]Impact of independence on polarization of opinions
• [physics.soc-ph]Optimal percolation in correlated multilayer networks with overlap
• [q-bio.NC]A sub-Riemannian model of the visual cortex with frequency and phase
• [q-bio.TO]Deep Learning for Prostate Pathology
• [stat.AP]A parameter-free population-dynamical approach to health workforce supply forecasting of EU countries
• [stat.AP]Burglary in London: Insights from Statistical Heterogeneous Spatial Point Processes
• [stat.AP]Defence Against the Modern Arts: the Curse of Statistics “Score-based likelihood ratios”
• [stat.AP]Effects of Aggregation Methodology on Uncertain Spatiotemporal Data
• [stat.AP]Late 19th-Century Navigational Uncertainties and Their Influence on Sea Surface Temperature Estimates
• [stat.AP]Modeling pages left blank in university examination: A resolution in higher education process
• [stat.AP]Rapid adjustment and post-processing of temperature forecast trajectories
• [stat.ME]Online control of the familywise error rate
• [stat.ME]The Power of Batching in Multiple Hypothesis Testing
• [stat.ML]ABCDP: Approximate Bayesian Computation Meets Differential Privacy
• [stat.ML]Learning interaction kernels in heterogeneous systems of agents from multiple trajectories
• [stat.ML]NLS: an accurate and yet easy-to-interpret regression method
• [stat.ML]Not All are Made Equal: Consistency of Weighted Averaging Estimators Under Active Learning
• [stat.ML]Regret Analysis of Causal Bandit Problems
• [stat.ML]Sparse Reduced-Rank Regression for Simultaneous Rank and Variable Selection via Manifold Optimization
• [stat.ML]Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning
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• [cs.AI]Generalized Planning With Procedural Domain Control Knowledge
Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
http://arxiv.org/abs/1910.04999v1
• [cs.AI]Modeling Conceptual Understanding in Image Reference Games
Rodolfo Corona, Stephan Alaniz, Zeynep Akata
http://arxiv.org/abs/1910.04872v1
• [cs.AI]Prediction-based Resource Allocation using Bayesian Neural Networks and Minimum Cost and Maximum Flow Algorithm
Gyunam Park, Minseok Song
http://arxiv.org/abs/1910.05126v1
• [cs.AI]Relation learning in a neurocomputational architecture supports cross-domain transfer
Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin, John E. Hummel
http://arxiv.org/abs/1910.05065v1
• [cs.CL]Automatic segmentation of texts into units of meaning for reading assistance
Jean-Claude Houbart, Solen Quiniou, Marion Berthaut, Béatrice Daille, Claire Salomé
http://arxiv.org/abs/1910.05014v1
• [cs.CL]BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels
Yimin Jing, Deyi Xiong, Yan Zhen
http://arxiv.org/abs/1910.05040v1
• [cs.CL]Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling
Devamanyu Hazarika, Soujanya Poria, Roger Zimmermann, Rada Mihalcea
http://arxiv.org/abs/1910.04980v1
• [cs.CL]Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction
Deli Chen, Shuming ma, Keiko Harimoto, Ruihan Bao, Qi Su, Xu Sun
http://arxiv.org/abs/1910.05032v1
• [cs.CL]How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages
Marcely Zanon Boito, Aline Villavicencio, Laurent Besacier
http://arxiv.org/abs/1910.05154v1
• [cs.CL]Keyphrase Generation: A Multi-Aspect Survey
Erion Çano, Ondřej Bojar
http://arxiv.org/abs/1910.05059v1
• [cs.CL]Learning Analogy-Preserving Sentence Embeddings for Answer Selection
Aissatou Diallo, Markus Zopf, Johannes Fuernkranz
http://arxiv.org/abs/1910.05315v1
• [cs.CL]Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang
http://arxiv.org/abs/1910.05069v1
• [cs.CL]Neural Generation for Czech: Data and Baselines
Ondřej Dušek, Filip Jurčíček
http://arxiv.org/abs/1910.05298v1
• [cs.CL]The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents
Shangmin Guo, Yi Ren, Serhii Havrylov, Stella Frank, Ivan Titov, Kenny Smith
http://arxiv.org/abs/1910.05291v1
• [cs.CL]exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models
Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann
http://arxiv.org/abs/1910.05276v1
• [cs.CR]Hear “No Evil”, See “Kenansville”: Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems
Hadi Abdullah, Muhammad Sajidur Rahman, Washington Garcia, Logan Blue, Kevin Warren, Anurag Swarnim Yadav, Tom Shrimpton, Patrick Traynor
http://arxiv.org/abs/1910.05262v1
• [cs.CV]An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications
Lee Easson, Alireza Tavakkoli, Jonathan Greenberg
http://arxiv.org/abs/1910.04944v1
• [cs.CV]Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
Yue Gao, Yuan Guo, Zhouhui Lian, Yingmin Tang, Jianguo Xiao
http://arxiv.org/abs/1910.04987v1
• [cs.CV]Augmented Hard Example Mining for Generalizable Person Re-Identification
Masato Tamura, Tomokazu Murakami
http://arxiv.org/abs/1910.05280v1
• [cs.CV]CHD:Consecutive Horizontal Dropout for Human Gait Feature Extraction
Chengtao Cai, Yueyuan Zhou, Yanming Wang
http://arxiv.org/abs/1910.05039v1
• [cs.CV]Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval
Sijin Wang, Ruiping Wang, Ziwei Yao, Shiguang Shan, Xilin Chen
http://arxiv.org/abs/1910.05134v1
• [cs.CV]DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks
Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha
http://arxiv.org/abs/1910.04925v1
• [cs.CV]End-to-End Defect Detection in Automated Fiber Placement Based on Artificially Generated Data
Sebastian Zambal, Christoph Heindl, Christian Eitzinger, Josef Scharinger
http://arxiv.org/abs/1910.04997v1
• [cs.CV]FetusMap: Fetal Pose Estimation in 3D Ultrasound
Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, Pheng-Ann Heng
http://arxiv.org/abs/1910.04935v1
• [cs.CV]From Species to Cultivar: Soybean Cultivar Recognition using Multiscale Sliding Chord Matching of Leaf Images
Bin Wang, Yongsheng Gao, Xiaohan Yu, Xiaohui Yuan, Shengwu Xiong, Xianzhong Feng
http://arxiv.org/abs/1910.04919v1
• [cs.CV]Interaction Relational Network for Mutual Action Recognition
Mauricio Perez, Jun Liu, Alex C. Kot
http://arxiv.org/abs/1910.04963v1
• [cs.CV]Methods and open-source toolkit for analyzing and visualizing challenge results
Manuel Wiesenfarth, Annika Reinke, Bennett A. Landman, Manuel Jorge Cardoso, Lena Maier-Hein, Annette Kopp-Schneider
http://arxiv.org/abs/1910.05121v1
• [cs.CV]Road Damage Detection Based on Unsupervised Disparity Map Segmentation
Rui Fan, Ming Liu
http://arxiv.org/abs/1910.04988v1
• [cs.CV]Rosetta: Large scale system for text detection and recognition in images
Fedor Borisyuk, Albert Gordo, Viswanath Sivakumar
http://arxiv.org/abs/1910.05085v1
• [cs.CV]Shape Constrained Network for Eye Segmentation in the Wild
Bingnan Luo, Jie Shen, Shiyang Cheng, Yujiang Wang, Maja Pantic
http://arxiv.org/abs/1910.05283v1
• [cs.CV]Shooting Labels: 3D Semantic Labeling by Virtual Reality
Pierluigi Zama Ramirez, Claudio Paternesi, Daniele De Gregorio, Luigi Di Stefano
http://arxiv.org/abs/1910.05021v1
• [cs.CV]VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition
Mengjia Yan, Mengao Zhao, Zining Xu, Qian Zhang, Guoli Wang, Zhizhong Su
http://arxiv.org/abs/1910.04985v1
• [cs.CV]Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities
Samuel Sharpe, Jin Yan, Fan Wu, Iddo Drori
http://arxiv.org/abs/1910.04887v1
• [cs.CY]Hindsight Analysis of the Chicago Food Inspection Forecasting Model
Vinesh Kannan, Matthew A. Shapiro, Mustafa Bilgic
http://arxiv.org/abs/1910.04906v1
• [cs.DB]Sub-query Fragmentation for Query Analysis and Data Caching in the Distributed Environment
Santhilata Kuppili Venkata, Katarzyna Musial
http://arxiv.org/abs/1910.04991v1
• [cs.DC]Blink: Fast and Generic Collectives for Distributed ML
Guanhua Wang, Shivaram Venkataraman, Amar Phanishayee, Jorgen Thelin, Nikhil Devanur, Ion Stoica
http://arxiv.org/abs/1910.04940v1
• [cs.DC]DBCSR: A Library for Dense Matrix Multiplications on Distributed GPU-Accelerated Systems
Ilia Sivkov, Alfio Lazzaro, Juerg Hutter
http://arxiv.org/abs/1910.04796v1
• [cs.DC]PipeMare: Asynchronous Pipeline Parallel DNN Training
Bowen Yang, Jian Zhang, Jonathan Li, Christopher Ré, Christopher R. Aberger, Christopher De Sa
http://arxiv.org/abs/1910.05124v1
• [cs.GR]Single Image BRDF Parameter Estimation with a Conditional Adversarial Network
Mark Boss, Hendrik P. A. Lensch
http://arxiv.org/abs/1910.05148v1
• [cs.HC]As You Are, So Shall You Move Your Head: A System-Level Analysis between Head Movements and Corresponding Traits and Emotions
Sharmin Akther Purabi, Rayhan Rashed, Md. Mirajul Islam, Md. Nahiyan Uddin, Mahmuda Naznin, A. B. M. Alim Al Islam
http://arxiv.org/abs/1910.05243v1
• [cs.HC]Automating dynamic consent decisions for the processing of social media data in health research
Chris Norval, Tristan Henderson
http://arxiv.org/abs/1910.05265v1
• [cs.HC]Designing an AI Health Coach and Studying its Utility in Promoting Regular Aerobic Exercise
Shiwali Mohan, Anusha Venkatakrishnan, Andrea Hartzler
http://arxiv.org/abs/1910.04836v1
• [cs.IR]DDTCDR: Deep Dual Transfer Cross Domain Recommendation
Pan Li, Alexander Tuzhilin
http://arxiv.org/abs/1910.05189v1
• [cs.IR]GREASE: A Generative Model for Relevance Search over Knowledge Graphs
Tianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, Yu’Ang Wei
http://arxiv.org/abs/1910.04927v1
• [cs.IR]Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation
Zeman Shao, Runyu Mao, Fengqing Zhu
http://arxiv.org/abs/1910.05242v1
• [cs.IR]Video Summarization using Keyframe Extraction and Video Skimming
Shruti Jadon, Mahmood Jasim
http://arxiv.org/abs/1910.04792v1
• [cs.IT]Dynamic Spectrum Sharing for Load Balancing in Multi-Cell Mobile Edge Computing
Ming Zeng, Viktoria Fodor
http://arxiv.org/abs/1910.04841v1
• [cs.IT]Optimal Control of Status Updates in a Multiple Access Channel with Stability Constraints
Zheng Chen, Nikolaos Pappas, Emil Björnson, Erik G. Larsson
http://arxiv.org/abs/1910.05144v1
• [cs.IT]Preconditioned Multiple Orthogonal Least Squares and Applications in Ghost Imaging via Sparsity Constraint
Zhishen Tong, Jian Wang, Shensheng Han
http://arxiv.org/abs/1910.04926v1
• [cs.LG]A Nonparametric Bayesian Model for Sparse Temporal Multigraphs
Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Graham W. Taylor, Sinead A. Williamson
http://arxiv.org/abs/1910.05098v1
• [cs.LG]Aff-Wild Database and AffWildNet
Mengyao Liu, Dimitrios Kollias
http://arxiv.org/abs/1910.05318v1
• [cs.LG]Central Server Free Federated Learning over Single-sided Trust Social Networks
Chaoyang He, Conghui Tan, Hanlin Tang, Shuang Qiu, Ji Liu
http://arxiv.org/abs/1910.04956v1
• [cs.LG]Coloring the Black Box: Visualizing neural network behavior with a self-introspective model
Arturo Pardo, José A. Gutiérrez-Gutiérrez, José Miguel López-Higuera, Brian W. Pogue, Olga M. Conde
http://arxiv.org/abs/1910.04903v1
• [cs.LG]Customizing Sequence Generation with Multi-Task Dynamical Systems
Alex Bird, Christopher K. I. Williams
http://arxiv.org/abs/1910.05026v1
• [cs.LG]Dealing with Stochasticity in Biological ODE Models
Hamda Ajmal, Michael Madden, Catherine Enright
http://arxiv.org/abs/1910.04909v1
• [cs.LG]Decaying momentum helps neural network training
John Chen, Anastasios Kyrillidis
http://arxiv.org/abs/1910.04952v1
• [cs.LG]Decoupling Hierarchical Recurrent Neural Networks With Locally Computable Losses
Asier Mujika, Felix Weissenberger, Angelika Steger
http://arxiv.org/abs/1910.05245v1
• [cs.LG]Deep Kernel Transfer in Gaussian Processes for Few-shot Learning
Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Amos Storkey
http://arxiv.org/abs/1910.05199v1
• [cs.LG]Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning
Changying Du, Jia He, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long
http://arxiv.org/abs/1910.05250v1
• [cs.LG]Evaluating Semantic Representations of Source Code
Yaza Wainakh, Moiz Rauf, Michael Pradel
http://arxiv.org/abs/1910.05177v1
• [cs.LG]Evolving Gaussian Process kernels from elementary mathematical expressions
I. Roman, R. Santana, A. Mendiburu, J. A. Lozano
http://arxiv.org/abs/1910.05173v1
• [cs.LG]Fairness in Clustering with Multiple Sensitive Attributes
Savitha Sam Abraham, Deepak P, Sowmya S Sundaram
http://arxiv.org/abs/1910.05113v1
• [cs.LG]Finding Interpretable Concept Spaces in Node Embeddings using Knowledge Bases
Maximilian Idahl, Megha Khosla, Avishek Anand
http://arxiv.org/abs/1910.05030v1
• [cs.LG]Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge
Zhiyong Du, Yansha Deng, Weisi Guo, Arumugam Nallanathan, Qihui Wu
http://arxiv.org/abs/1910.05054v1
• [cs.LG]Improving Generalization and Robustness with Noisy Collaboration in Knowledge Distillation
Elahe Arani, Fahad Sarfraz, Bahram Zonooz
http://arxiv.org/abs/1910.05057v1
• [cs.LG]Inundation Modeling in Data Scarce Regions
Zvika Ben-Haim, Vladimir Anisimov, Aaron Yonas, Varun Gulshan, Yusef Shafi, Stephan Hoyer, Sella Nevo
http://arxiv.org/abs/1910.05006v1
• [cs.LG]Learning Cluster Structured Sparsity by Reweighting
Yulun Jiang, Lei Yu, Haijian Zhang, Zhou Liu
http://arxiv.org/abs/1910.05303v1
• [cs.LG]Privacy-Preserving Contextual Bandits
Awni Hannun, Brian Knott, Shubho Sengupta, Laurens van der Maaten
http://arxiv.org/abs/1910.05299v1
• [cs.LG]Query-by-example on-device keyword spotting
Byeonggeun Kim, Mingu Lee, Jinkyu Lee, Yeonseok Kim, Kyuwoong Hwang
http://arxiv.org/abs/1910.05171v1
• [cs.LG]R-SQAIR: Relational Sequential Attend, Infer, Repeat
Aleksandar Stanić, Jürgen Schmidhuber
http://arxiv.org/abs/1910.05231v1
• [cs.LG]Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond
Arindam Banerjee, Qilong Gu, Vidyashankar Sivakumar, Zhiwei Steven Wu
http://arxiv.org/abs/1910.04930v1
• [cs.LG]Rk-means: Fast Clustering for Relational Data
Ryan Curtin, Ben Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
http://arxiv.org/abs/1910.04939v1
• [cs.LG]SUM: Suboptimal Unitary Multi-task Learning Framework for Spatiotemporal Data Prediction
Qichen Li, Jiaxin Pei, Jianding Zhang, Bo Han
http://arxiv.org/abs/1910.05150v1
• [cs.LG]Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging
Yusuf Pilavci, Nicolas Farrugia
http://arxiv.org/abs/1910.05149v1
• [cs.LG]The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos?
Gege Zhang, Gangwei Li, Weidong Zhang
http://arxiv.org/abs/1910.04970v1
• [cs.LG]Verification of Neural Networks: Specifying Global Robustness using Generative Models
Nathanaël Fijalkow, Mohit Kumar Gupta
http://arxiv.org/abs/1910.05018v1
• [cs.MA]Modeling Cyber-Physical Human Systems via an Interplay Between Reinforcement Learning and Game Theory
Mert Albaba, Yildiray Yildiz
http://arxiv.org/abs/1910.05092v1
• [cs.MM]Multi-modal Deep Analysis for Multimedia
Wenwu Zhu, Xin Wang, Hongzhi Li
http://arxiv.org/abs/1910.04964v1
• [cs.NE]Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs)
Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin
http://arxiv.org/abs/1910.04966v1
• [cs.NE]Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions
Florian Meier, Asier Mujika, Marcelo Matheus Gauy, Angelika Steger
http://arxiv.org/abs/1910.05268v1
• [cs.NE]On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor
Kenneth Stewart, Emre Neftci, Garrick Orchard, Sumit Shrestha
http://arxiv.org/abs/1910.04972v1
• [cs.NE]Spacecraft design optimisation for demise and survivability
Mirko Trisolini, Hugh G. Lewis, Camilla Colombo
http://arxiv.org/abs/1910.05091v1
• [cs.NE]Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks
Dina Obeid, Hugo Ramambason, Cengiz Pehlevan
http://arxiv.org/abs/1910.04958v1
• [cs.RO]Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model
Dong Chen, Longsheng Jiang, Yue Wang, Zhaojian Li
http://arxiv.org/abs/1910.04803v1
• [cs.RO]Autonomous Shuttles for Last-Mile Connectivity
Garrison Neel, Amir Darwesh, Quang Le, Srikanth Saripalli
http://arxiv.org/abs/1910.04971v1
• [cs.RO]Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
Noémie Jaquier, Leonel Rozo, Sylvain Calinon, Mathias Bürger
http://arxiv.org/abs/1910.04998v1
• [cs.RO]Coarse-To-Fine Visual Localization Using Semantic Compact Map
Ziwei Liao, Jieqi Shi, Xianyu Qi, Xiaoyu Zhang, Wei Wang, Yijia He, Ran Wei, Xiao Liu
http://arxiv.org/abs/1910.04936v1
• [cs.RO]Design and Prototyping of a Bio-inspired Kinematic Sensing Suit for the Shoulder Joint: Precursor to a Multi-DoF Shoulder Exosuit
Rejin John Varghese, Benny P L Lo, Guang-Zhong Yang
http://arxiv.org/abs/1910.04787v1
• [cs.RO]Learning from demonstration with model-based Gaussian process
Noémie Jaquier, David Ginsbourger, Sylvain Calinon
http://arxiv.org/abs/1910.05005v1
• [cs.RO]Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects
Chaitanya Mitash, Bowen Wen, Kostas Bekris, Abdeslam Boularias
http://arxiv.org/abs/1910.04953v1
• [cs.RO]Trajectory Planning for Autonomous Parking in Complex Environments: A Tunnel-based Optimal Control Approach
Bai Li, Tankut Acarman, Qi Kong, Youmin Zhang
http://arxiv.org/abs/1910.04950v1
• [cs.SI]A Geometric Model of Opinion Polarization
Jan Hązła, Yan Jin, Elchanan Mossel, Govind Ramnarayan
http://arxiv.org/abs/1910.05274v1
• [cs.SI]Learning Invariant Representations of Social Media Users
Nicholas Andrews, Marcus Bishop
http://arxiv.org/abs/1910.04979v1
• [cs.SI]Link Prediction via Deep Learning
Weiwei Gu, Fei Gao, Xiaodan Lou, Jiang Zhang
http://arxiv.org/abs/1910.04807v1
• [cs.SI]Patterns of Multiplex Layer Entanglement across Real and Synthetic Networks
Blaž Škrlj, Benjamin Renoust
http://arxiv.org/abs/1910.05300v1
• [cs.SI]Recovering the past states of growing trees
George T. Cantwell, Guillaume St-Onge, Jean-Gabriel Young
http://arxiv.org/abs/1910.04788v1
• [cs.SI]The Foundations of Political Realism
Michael Poulshock
http://arxiv.org/abs/1910.04785v1
• [econ.EM]Latent Dirichlet Analysis of Categorical Survey Responses
Evan Munro, Serena Ng
http://arxiv.org/abs/1910.04883v1
• [econ.GN]Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution
Jangho Yang, Torsten Heinrich, Julian Winkler, François Lafond, Pantelis Koutroumpis, J. Doyne Farmer
http://arxiv.org/abs/1910.05219v1
• [eess.IV]Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation
Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, Tom Drummond
http://arxiv.org/abs/1910.04961v1
• [eess.IV]ErrorNet: Learning error representations from limited data to improve vascular segmentation
Nima Tajbakhsh, Brian Lai, Shilpa Ananth, Xiaowei Ding
http://arxiv.org/abs/1910.04814v1
• [eess.IV]Estimating Solar Irradiance Using Sky Imagers
Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, Stefan Winkler
http://arxiv.org/abs/1910.04981v1
• [math.OC]General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao
http://arxiv.org/abs/1910.05093v1
• [math.OC]Nonsmooth Convex Joint Estimation of Local Regularity and Local Variance for Fractal Texture Segmentation
Pascal Barbara, Pustelnik Nelly, Abry Patrice
http://arxiv.org/abs/1910.05246v1
• [math.OC]Variational Path Optimization of Linear Pentapods with a Simple Singularity Variety
Arvin Rasoulzadeh, Georg Nawratil
http://arxiv.org/abs/1910.04810v1
• [math.PR]A Mathematical Analysis of Memory Lifetime in a simple Network Model of Memory
Pascal Helson
http://arxiv.org/abs/1910.04993v1
• [math.PR]Regeneration-enriched Markov processes with application to Monte Carlo
Andi Q. Wang, Murray Pollock, Gareth O. Roberts, David Steinsaltz
http://arxiv.org/abs/1910.05037v1
• [math.PR]The density of complex zeros of random sums
Christopher Corley, Andrew Ledoan
http://arxiv.org/abs/1910.05269v1
• [math.ST]Analytical Quantile Solution for the S-distribution, Random Number Generation and Statistical Data Modeling
Benito Hernández-Bermejo, Albert Sorribas
http://arxiv.org/abs/1910.05087v1
• [math.ST]Fitting a manifold of large reach to noisy data
Charles Fefferman, Sergei Ivanov, Matti Lassas, Hariharan Narayanan
http://arxiv.org/abs/1910.05084v1
• [physics.comp-ph]Predicting dynamical system evolution with residual neural networks
Artem Chashchin, Mikhail Botchev, Ivan Oseledets, George Ovchinnikov
http://arxiv.org/abs/1910.05233v1
• [physics.soc-ph]Impact of independence on polarization of opinions
Janusz Szwabiński, Tomasz Weron
http://arxiv.org/abs/1910.05036v1
• [physics.soc-ph]Optimal percolation in correlated multilayer networks with overlap
Andrea Santoro, Vincenzo Nicosia
http://arxiv.org/abs/1910.04783v1
• [q-bio.NC]A sub-Riemannian model of the visual cortex with frequency and phase
E. Baspinar, A. Sarti, G. Citti
http://arxiv.org/abs/1910.04992v1
• [q-bio.TO]Deep Learning for Prostate Pathology
Okyaz Eminaga, Yuri Tolkach, Christian Kunder, Mahmood Abbas, Ryan Han, Rosalie Nolley, Axel Semjonow, Martin Boegemann, Sebastian Huss, Andreas Loening, Robert West, Geoffrey Sonn, Richard Fan, Olaf Bettendorf, James Brook, Daniel Rubin
http://arxiv.org/abs/1910.04918v1
• [stat.AP]A parameter-free population-dynamical approach to health workforce supply forecasting of EU countries
Peter Klimek, Michael Gyimesi, Herwig Ostermann, Stefan Thurner
http://arxiv.org/abs/1910.05077v1
• [stat.AP]Burglary in London: Insights from Statistical Heterogeneous Spatial Point Processes
Jan Povala, Seppo Virtanen, Mark Girolami
http://arxiv.org/abs/1910.05212v1
• [stat.AP]Defence Against the Modern Arts: the Curse of Statistics “Score-based likelihood ratios”
Cedric Neumann, Madeline A. Ausdemore
http://arxiv.org/abs/1910.05240v1
• [stat.AP]Effects of Aggregation Methodology on Uncertain Spatiotemporal Data
Zachary T. Hornberger, Bruce A. Cox, Raymond R. Hill
http://arxiv.org/abs/1910.05125v1
• [stat.AP]Late 19th-Century Navigational Uncertainties and Their Influence on Sea Surface Temperature Estimates
Chenguang Dai, Duo Chan, Peter Huybers, Natesh Pillai
http://arxiv.org/abs/1910.04843v1
• [stat.AP]Modeling pages left blank in university examination: A resolution in higher education process
Suman K. Ghosh, Subhradev Sen
http://arxiv.org/abs/1910.04994v1
• [stat.AP]Rapid adjustment and post-processing of temperature forecast trajectories
Nina Schuhen, Thordis Thorarinsdottir, Alex Lenkoski
http://arxiv.org/abs/1910.05101v1
• [stat.ME]Online control of the familywise error rate
Jinjin Tian, Aaditya Ramdas
http://arxiv.org/abs/1910.04900v1
• [stat.ME]The Power of Batching in Multiple Hypothesis Testing
Tijana Zrnic, Daniel L. Jiang, Michael I. Jordan
http://arxiv.org/abs/1910.04968v1
• [stat.ML]ABCDP: Approximate Bayesian Computation Meets Differential Privacy
Mijung Park, Wittawat Jitkrittum
http://arxiv.org/abs/1910.05103v1
• [stat.ML]Learning interaction kernels in heterogeneous systems of agents from multiple trajectories
Fei Lu, Mauro Maggioni, Sui Tang
http://arxiv.org/abs/1910.04832v1
• [stat.ML]NLS: an accurate and yet easy-to-interpret regression method
Victor Coscrato, Marco Henrique de Almeida Inácio, Tiago Botari, Rafael Izbicki
http://arxiv.org/abs/1910.05206v1
• [stat.ML]Not All are Made Equal: Consistency of Weighted Averaging Estimators Under Active Learning
Jack Goetz, Ambuj Tewari
http://arxiv.org/abs/1910.05321v1
• [stat.ML]Regret Analysis of Causal Bandit Problems
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, Zhenyu Yan
http://arxiv.org/abs/1910.04938v1
• [stat.ML]Sparse Reduced-Rank Regression for Simultaneous Rank and Variable Selection via Manifold Optimization
Kohei Yoshikawa, Shuichi Kawano
http://arxiv.org/abs/1910.05083v1
• [stat.ML]Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning
Igor Colin, Ludovic Dos Santos, Kevin Scaman
http://arxiv.org/abs/1910.05104v1