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