cs.AI - 人工智能 cs.CG - 计算几何学 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.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.ST - 统计理论 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Conversational Search for Learning Technologies
    • [cs.AI]The Neighbours’ Similar Fitness Property for Local Search
    • [cs.CG]An inexact matching approach for the comparison of plane curves with general elastic metrics
    • [cs.CL]Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction
    • [cs.CL]Multiplex Word Embeddings for Selectional Preference Acquisition
    • [cs.CL]Offensive Language Detection: A Comparative Analysis
    • [cs.CL]Open Challenge for Correcting Errors of Speech Recognition Systems
    • [cs.CL]Resolving the Scope of Speculation and Negation using Transformer-Based Architectures
    • [cs.CR]Architecture and Security of SCADA Systems: A Review
    • [cs.CV]A novel tree-structured point cloud dataset for skeletonization algorithm evaluation
    • [cs.CV]Compression of convolutional neural networks for high performance imagematching tasks on mobile devices
    • [cs.CV]Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches
    • [cs.CV]DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
    • [cs.CV]Don’t Judge an Object by Its Context: Learning to Overcome Contextual Bias
    • [cs.CV]Fast Adaptation to Super-Resolution Networks via Meta-Learning
    • [cs.CV]Generative Pseudo-label Refinement for Unsupervised Domain Adaptation
    • [cs.CV]HMANet: Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images
    • [cs.CV]Learning landmark guided embeddings for animal re-identification
    • [cs.CV]Multi-Scale Weight Sharing Network for Image Recognition
    • [cs.CV]Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data
    • [cs.CV]Objects detection for remote sensing images based on polar coordinates
    • [cs.CV]STAViS: Spatio-Temporal AudioVisual Saliency Network
    • [cs.CV]Self-Supervised Fast Adaptation for Denoising via Meta-Learning
    • [cs.CV]Semi-supervised Learning via Conditional Rotation Angle Estimation
    • [cs.CV]Spherical Image Generation from a Single Normal Field of View Image by Considering Scene Symmetry
    • [cs.CV]Towards Coding for Human and Machine Vision: A Scalable Image Coding Approach
    • [cs.CV]Virtual to Real adaptation of Pedestrian Detectors for Smart Cities
    • [cs.CY]Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
    • [cs.DC]DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference
    • [cs.DL]Practical method to reclassify Web of Science articles into unique subject categories and broad disciplines
    • [cs.DS]Age-Partitioned Bloom Filters
    • [cs.DS]Forming Compatible Teams in Signed Networks
    • [cs.HC]GRIDS: Interactive Layout Design with Integer Programming
    • [cs.HC]Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations
    • [cs.IR]Domain-independent Extraction of Scientific Concepts from Research Articles
    • [cs.IR]Topical Result Caching in Web Search Engines
    • [cs.IT]A Connection between Feedback Capacity and Kalman Filter for Colored Gaussian Noises
    • [cs.IT]A Deterministic Convergence Framework for Exact Non-Convex Phase Retrieval
    • [cs.IT]Address-Event Variable-Length Compression for Time-Encoded Data
    • [cs.IT]Arbitrarily Varying Wiretap Channels with Non-Causal Side Information at the Jammer
    • [cs.IT]Best Relay Selection in Gaussian Half-Duplex Diamond Networks
    • [cs.IT]Capacity-Approaching Constrained Codes with Error Correction for DNA-Based Data Storage
    • [cs.IT]Latent Factor Analysis of Gaussian Distributions under Graphical Constraints
    • [cs.IT]List Decoding for Oblivious Arbitrarily Varying MACs: Constrained and Gaussian
    • [cs.IT]Macroscopic Analysis of Vector Approximate Message Passing in a Model Mismatch Setting
    • [cs.IT]Multi-Antenna Jamming in Covert Communication
    • [cs.IT]On Decoding Using Codewords of the Dual Code
    • [cs.IT]On Optimal Locally Repairable Codes and Generalized Sector-Disk Codes
    • [cs.IT]On The Optimality of The Whittle’s Index Policy For Minimizing The Age of Information
    • [cs.IT]Online Memorization of Random Firing Sequences by a Recurrent Neural Network
    • [cs.IT]Quadratically Constrained Two-way Adversarial Channels
    • [cs.IT]Rate-Constrained Shaping Codes for Structured Sources
    • [cs.IT]Soft Maximum Likelihood Decoding using GRAND
    • [cs.IT]Systematic Convolutional Low Density Generator Matrix Code
    • [cs.IT]The Langberg-Médard Multiple Unicast Conjecture: Stable $3$-Pair Networks
    • [cs.LG]A Comparative Study on Crime in Denver City Based on Machine Learning and Data Mining
    • [cs.LG]Adaptive Stopping Rule for Kernel-based Gradient Descent Algorithms
    • [cs.LG]Addressing Value Estimation Errors in Reinforcement Learning with a State-Action Return Distribution Function
    • [cs.LG]An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers’ Outputs
    • [cs.LG]Closed-loop deep learning: generating forward models with back-propagation
    • [cs.LG]Coupled Tensor Completion via Low-rank Tensor Ring
    • [cs.LG]Deep Network Approximation for Smooth Functions
    • [cs.LG]Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution
    • [cs.LG]Explainable Deep Convolutional Candlestick Learner
    • [cs.LG]Guidelines for enhancing data locality in selected machine learning algorithms
    • [cs.LG]Learning Generative Models using Denoising Density Estimators
    • [cs.LG]Least squares binary quantization of neural networks
    • [cs.LG]Lifted Hybrid Variational Inference
    • [cs.LG]On Computation and Generalization of Generative Adversarial Imitation Learning
    • [cs.LG]Performance-Oriented Neural Architecture Search
    • [cs.LG]Poly-time universality and limitations of deep learning
    • [cs.LG]Population-Guided Parallel Policy Search for Reinforcement Learning
    • [cs.LG]Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms
    • [cs.LG]Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach
    • [cs.LG]Self-guided Approximate Linear Programs
    • [cs.LG]Shallow Encoder Deep Decoder (SEDD) Networks for Image Encryption and Decryption
    • [cs.LG]Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction
    • [cs.LG]The Counterfactual $χ$-GAN
    • [cs.LO]Probabilistic Reasoning across the Causal Hierarchy
    • [cs.MA]Multirobot Coverage of Linear Modular Environments
    • [cs.NE]Expected Improvement versus Predicted Value in Surrogate-Based Optimization
    • [cs.NI]Neural Network Tomography
    • [cs.RO]Benchmarking In-Hand Manipulation
    • [cs.RO]Pivot calibration concept for sensor attached mobile c-arms
    • [cs.RO]Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control
    • [cs.SD]Streaming automatic speech recognition with the transformer model
    • [cs.SI]LibreSocial: A Peer-to-Peer Framework for Online Social Networks
    • [cs.SI]Positive Algorithmic Bias Cannot Stop Fragmentation in Homophilic Social Networks
    • [eess.IV]An Emerging Coding Paradigm VCM: A Scalable Coding Approach Beyond Feature and Signal
    • [eess.SP]Optimal quantizer structure for binary discrete input continuous output channels under an arbitrary quantized-output constraint
    • [eess.SP]Spatial-Temporal Transformer Networks for Traffic Flow Forecasting
    • [math.OC]How to trap a gradient flow
    • [math.OC]On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit
    • [math.OC]Regularity and stability of feedback relaxed controls
    • [math.ST]A note on Horvitz-Thompson estimators for rare subgroup analysis in the presence of interference
    • [math.ST]Minimax Optimal Conditional Independence Testing
    • [q-bio.QM]Inflammatory Bowel Disease Biomarkers of Human Gut Microbiota Selected via Ensemble Feature Selection Methods
    • [quant-ph]Capacity Approaching Coding for Low Noise Interactive Quantum Communication, Part I: Large Alphabets
    • [quant-ph]Permutation Enhances Classical Communication Assisted by Entangled States
    • [quant-ph]Thermodynamically-Efficient Local Computation: Classical and quantum information reservoirs and generators
    • [stat.AP]Gasoline Pricing Policies for Transportation Safety
    • [stat.ME]Domination Number of an Interval Catch Digraph Family and its use for Testing Uniformity
    • [stat.ME]Semi-automated simultaneous predictor selection for Regression-SARIMA models
    • [stat.ML]D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets
    • [stat.ML]Resource-Efficient Neural Networks for Embedded Systems
    • [stat.ML]Supervised Hyperalignment for multi-subject fMRI data alignment

    ·····································

    • [cs.AI]Conversational Search for Learning Technologies
    Sharon Oviatt, Laure Soulier
    http://arxiv.org/abs/2001.02912v1

    • [cs.AI]The Neighbours’ Similar Fitness Property for Local Search
    Mark Wallace, Aldeida Aleti
    http://arxiv.org/abs/2001.02872v1

    • [cs.CG]An inexact matching approach for the comparison of plane curves with general elastic metrics
    Yashil Sukurdeep, Martin Bauer, Nicolas Charon
    http://arxiv.org/abs/2001.02858v1

    • [cs.CL]Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction
    Liesbeth Allein, Artuur Leeuwenberg, Marie-Francine Moens
    http://arxiv.org/abs/2001.02943v1

    • [cs.CL]Multiplex Word Embeddings for Selectional Preference Acquisition
    Hongming Zhang, Jiaxin Bai, Yan Song, Kun Xu, Changlong Yu, Yangqiu Song, Wilfred Ng, Dong Yu
    http://arxiv.org/abs/2001.02836v1

    • [cs.CL]Offensive Language Detection: A Comparative Analysis
    Vyshnav M T, Sachin Kumar S, Soman K P
    http://arxiv.org/abs/2001.03131v1

    • [cs.CL]Open Challenge for Correcting Errors of Speech Recognition Systems
    Marek Kubis, Zygmunt Vetulani, Mikołaj Wypych, Tomasz Ziętkiewicz
    http://arxiv.org/abs/2001.03041v1

    • [cs.CL]Resolving the Scope of Speculation and Negation using Transformer-Based Architectures
    Benita Kathleen Britto, Aditya Khandelwal
    http://arxiv.org/abs/2001.02885v1

    • [cs.CR]Architecture and Security of SCADA Systems: A Review
    Geeta Yadav, Kolin Paul
    http://arxiv.org/abs/2001.02925v1

    • [cs.CV]A novel tree-structured point cloud dataset for skeletonization algorithm evaluation
    Yan Lin, Ji Liu, Jianlin Zhou
    http://arxiv.org/abs/2001.02823v1

    • [cs.CV]Compression of convolutional neural networks for high performance imagematching tasks on mobile devices
    Roy Miles, Krystian Mikolajczyk
    http://arxiv.org/abs/2001.03102v1

    • [cs.CV]Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches
    Shuai Yang, Zhangyang Wang, Jiaying Liu, Jiaying Liu
    http://arxiv.org/abs/2001.02890v1

    • [cs.CV]DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
    Liming Jiang, Wayne Wu, Ren Li, Chen Qian, Chen Change Loy
    http://arxiv.org/abs/2001.03024v1

    • [cs.CV]Don’t Judge an Object by Its Context: Learning to Overcome Contextual Bias
    Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
    http://arxiv.org/abs/2001.03152v1

    • [cs.CV]Fast Adaptation to Super-Resolution Networks via Meta-Learning
    Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
    http://arxiv.org/abs/2001.02905v1

    • [cs.CV]Generative Pseudo-label Refinement for Unsupervised Domain Adaptation
    Pietro Morerio, Riccardo Volpi, Ruggero Ragonesi, Vittorio Murino
    http://arxiv.org/abs/2001.02950v1

    • [cs.CV]HMANet: Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images
    Ruigang Niu
    http://arxiv.org/abs/2001.02870v1

    • [cs.CV]Learning landmark guided embeddings for animal re-identification
    Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh
    http://arxiv.org/abs/2001.02801v1

    • [cs.CV]Multi-Scale Weight Sharing Network for Image Recognition
    Shubhra Aich, Ian Stavness, Yasuhiro Taniguchi, Masaki Yamazaki
    http://arxiv.org/abs/2001.02816v1

    • [cs.CV]Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data
    Xi Yan, David Acuna, Sanja Fidler
    http://arxiv.org/abs/2001.02799v1

    • [cs.CV]Objects detection for remote sensing images based on polar coordinates
    Lin Zhou, Haoran Wei, Hao Li, Yue Zhang, Xian Sun, Wenzhe Zhao
    http://arxiv.org/abs/2001.02988v1

    • [cs.CV]STAViS: Spatio-Temporal AudioVisual Saliency Network
    Antigoni Tsiami, Petros Koutras, Petros Maragos
    http://arxiv.org/abs/2001.03063v1

    • [cs.CV]Self-Supervised Fast Adaptation for Denoising via Meta-Learning
    Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
    http://arxiv.org/abs/2001.02899v1

    • [cs.CV]Semi-supervised Learning via Conditional Rotation Angle Estimation
    Hai-Ming Xu, Lingqiao Liu, Dong Gong
    http://arxiv.org/abs/2001.02865v1

    • [cs.CV]Spherical Image Generation from a Single Normal Field of View Image by Considering Scene Symmetry
    Takayuki Hara, Tatsuya Harada
    http://arxiv.org/abs/2001.02993v1

    • [cs.CV]Towards Coding for Human and Machine Vision: A Scalable Image Coding Approach
    Yueyu Hu, Shuai Yang, Wenhan Yang, Ling-Yu Duan, Jiaying Liu
    http://arxiv.org/abs/2001.02915v1

    • [cs.CV]Virtual to Real adaptation of Pedestrian Detectors for Smart Cities
    Luca Ciampi, Nicola Messina, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
    http://arxiv.org/abs/2001.03032v1

    • [cs.CY]Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
    Chris Dulhanty, Alexander Wong
    http://arxiv.org/abs/2001.03071v1

    • [cs.DC]DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference
    Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
    http://arxiv.org/abs/2001.02772v1

    • [cs.DL]Practical method to reclassify Web of Science articles into unique subject categories and broad disciplines
    Staša Milojević
    http://arxiv.org/abs/2001.02733v1

    • [cs.DS]Age-Partitioned Bloom Filters
    Ariel Shtul, Carlos Baquero, Paulo Sérgio Almeida
    http://arxiv.org/abs/2001.03147v1

    • [cs.DS]Forming Compatible Teams in Signed Networks
    Ioannis Kouvatis, Konstantinos Semertzidis, Maria Zerva, Evaggelia Pitoura, Panayiotis Tsaparas
    http://arxiv.org/abs/2001.03128v1

    • [cs.HC]GRIDS: Interactive Layout Design with Integer Programming
    Niraj Dayama, Kashyap Todi, Taru Saarelainen, Antti Oulasvirta
    http://arxiv.org/abs/2001.02921v1

    • [cs.HC]Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations
    Suyun “Sandra” Bae, Oh-Hyun Kwon, Senthil Chandrasegaran, Kwan-Liu Ma
    http://arxiv.org/abs/2001.02746v1

    • [cs.IR]Domain-independent Extraction of Scientific Concepts from Research Articles
    Arthur Brack, Jennifer D’Souza, Anett Hoppe, Sören Auer, Ralph Ewerth
    http://arxiv.org/abs/2001.03067v1

    • [cs.IR]Topical Result Caching in Web Search Engines
    Ida Mele, Nicola Tonellotto, Ophir Frieder, Raffaele Perego
    http://arxiv.org/abs/2001.03010v1

    • [cs.IT]A Connection between Feedback Capacity and Kalman Filter for Colored Gaussian Noises
    Song Fang, Quanyan Zhu
    http://arxiv.org/abs/2001.03108v1

    • [cs.IT]A Deterministic Convergence Framework for Exact Non-Convex Phase Retrieval
    Bariscan Yonel, Birsen Yazici
    http://arxiv.org/abs/2001.02855v1

    • [cs.IT]Address-Event Variable-Length Compression for Time-Encoded Data
    Sharu Theresa Jose, Osvaldo Simeone
    http://arxiv.org/abs/2001.02527v2

    • [cs.IT]Arbitrarily Varying Wiretap Channels with Non-Causal Side Information at the Jammer
    Carsten Rudolf Janda, Moritz Wiese, Eduard A. Jorswieck, Holger Boche
    http://arxiv.org/abs/2001.03035v1

    • [cs.IT]Best Relay Selection in Gaussian Half-Duplex Diamond Networks
    Sarthak Jain, Soheil Mohajer, Martina Cardone
    http://arxiv.org/abs/2001.02851v1

    • [cs.IT]Capacity-Approaching Constrained Codes with Error Correction for DNA-Based Data Storage
    Tuan Thanh Nguyen, Kui Cai, Kees A. Schouhamer Immink, Han Mao Kiah
    http://arxiv.org/abs/2001.02839v1

    • [cs.IT]Latent Factor Analysis of Gaussian Distributions under Graphical Constraints
    Md Mahmudul Hasan, Shuangqing Wei, Ali Moharrer
    http://arxiv.org/abs/2001.02712v1

    • [cs.IT]List Decoding for Oblivious Arbitrarily Varying MACs: Constrained and Gaussian
    Yihan Zhang
    http://arxiv.org/abs/2001.03049v1

    • [cs.IT]Macroscopic Analysis of Vector Approximate Message Passing in a Model Mismatch Setting
    Takashi Takahashi, Yoshiyuki Kabashima
    http://arxiv.org/abs/2001.02824v1

    • [cs.IT]Multi-Antenna Jamming in Covert Communication
    Ori Shmuel, Asaf Cohen, Omer Gurewitz, Alejandro Cohen
    http://arxiv.org/abs/2001.03146v1

    • [cs.IT]On Decoding Using Codewords of the Dual Code
    Martin Bossert
    http://arxiv.org/abs/2001.02956v1

    • [cs.IT]On Optimal Locally Repairable Codes and Generalized Sector-Disk Codes
    Han Cai, Moshe Schwartz
    http://arxiv.org/abs/2001.02909v1

    • [cs.IT]On The Optimality of The Whittle’s Index Policy For Minimizing The Age of Information
    Ali Maatouk, Saad Kriouile, Mohamad Assaad, Anthony Ephremides
    http://arxiv.org/abs/2001.03096v1

    • [cs.IT]Online Memorization of Random Firing Sequences by a Recurrent Neural Network
    Patrick Murer, Hans-Andrea Loeliger
    http://arxiv.org/abs/2001.02920v1

    • [cs.IT]Quadratically Constrained Two-way Adversarial Channels
    Yihan Zhang, Shashank Vatedka, Sidharth Jaggi
    http://arxiv.org/abs/2001.02575v2

    • [cs.IT]Rate-Constrained Shaping Codes for Structured Sources
    Yi Liu, Pengfei Huang, Alexander W. Bergman, Paul H. Siegel
    http://arxiv.org/abs/2001.02748v1

    • [cs.IT]Soft Maximum Likelihood Decoding using GRAND
    Amit Solomon, Ken R. Duffy, Muriel Médard
    http://arxiv.org/abs/2001.03089v1

    • [cs.IT]Systematic Convolutional Low Density Generator Matrix Code
    Suihua Cai, Wenchao Lin, Xinyuanmeng Yao, Baodian Wei, Xiao Ma
    http://arxiv.org/abs/2001.02854v1

    • [cs.IT]The Langberg-Médard Multiple Unicast Conjecture: Stable $3$-Pair Networks
    Kai Cai, Guangyue Han
    http://arxiv.org/abs/2001.02017v2

    • [cs.LG]A Comparative Study on Crime in Denver City Based on Machine Learning and Data Mining
    Md. Aminur Rab Ratul
    http://arxiv.org/abs/2001.02802v1

    • [cs.LG]Adaptive Stopping Rule for Kernel-based Gradient Descent Algorithms
    Xiangyu Chang, Shao-Bo Lin
    http://arxiv.org/abs/2001.02879v1

    • [cs.LG]Addressing Value Estimation Errors in Reinforcement Learning with a State-Action Return Distribution Function
    Jingliang Duan, Yang Guan, Yangang Ren, Shengbo Eben Li, Bo Cheng
    http://arxiv.org/abs/2001.02811v1

    • [cs.LG]An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers’ Outputs
    You Huang, Yuanlong Yu
    http://arxiv.org/abs/2001.02814v1

    • [cs.LG]Closed-loop deep learning: generating forward models with back-propagation
    Sama Daryanavard, Bernd Porr
    http://arxiv.org/abs/2001.02970v1

    • [cs.LG]Coupled Tensor Completion via Low-rank Tensor Ring
    Huyan Huang, Yipeng Liu, Ce Zhu
    http://arxiv.org/abs/2001.02810v1

    • [cs.LG]Deep Network Approximation for Smooth Functions
    Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang
    http://arxiv.org/abs/2001.03040v1

    • [cs.LG]Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution
    Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li
    http://arxiv.org/abs/2001.03025v1

    • [cs.LG]Explainable Deep Convolutional Candlestick Learner
    Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur
    http://arxiv.org/abs/2001.02767v1

    • [cs.LG]Guidelines for enhancing data locality in selected machine learning algorithms
    Imen Chakroun, Tom Vander Aa, Thomas J. Ashby
    http://arxiv.org/abs/2001.03000v1

    • [cs.LG]Learning Generative Models using Denoising Density Estimators
    Siavash A. Bigdeli, Geng Lin, Tiziano Portenier, L. Andrea Dunbar, Matthias Zwicker
    http://arxiv.org/abs/2001.02728v1

    • [cs.LG]Least squares binary quantization of neural networks
    Hadi Pouransari, Oncel Tuzel
    http://arxiv.org/abs/2001.02786v1

    • [cs.LG]Lifted Hybrid Variational Inference
    Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi
    http://arxiv.org/abs/2001.02773v1

    • [cs.LG]On Computation and Generalization of Generative Adversarial Imitation Learning
    Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao
    http://arxiv.org/abs/2001.02792v1

    • [cs.LG]Performance-Oriented Neural Architecture Search
    Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg
    http://arxiv.org/abs/2001.02976v1

    • [cs.LG]Poly-time universality and limitations of deep learning
    Emmanuel Abbe, Colin Sandon
    http://arxiv.org/abs/2001.02992v1

    • [cs.LG]Population-Guided Parallel Policy Search for Reinforcement Learning
    Whiyoung Jung, Giseung Park, Youngchul Sung
    http://arxiv.org/abs/2001.02907v1

    • [cs.LG]Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms
    Joohyung Jeon, Junhui Kim, Joongheon Kim, Kwangsoo Kim, Aziz Mohaisen, Jong-Kook Kim
    http://arxiv.org/abs/2001.02932v1

    • [cs.LG]Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach
    Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah
    http://arxiv.org/abs/2001.03076v1

    • [cs.LG]Self-guided Approximate Linear Programs
    Parshan Pakiman, Selvaprabu Nadarajah, Negar Soheili, Qihang Lin
    http://arxiv.org/abs/2001.02798v1

    • [cs.LG]Shallow Encoder Deep Decoder (SEDD) Networks for Image Encryption and Decryption
    Chirag Gupta
    http://arxiv.org/abs/2001.03017v1

    • [cs.LG]Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction
    Zhenhua Shi, Dongrui Wu, Yu-Kai Wang, Chin-Teng Lin
    http://arxiv.org/abs/2001.03103v1

    • [cs.LG]The Counterfactual $χ$-GAN
    Amelia J. Averitt, Natnicha Vanitchanant, Rajesh Ranganath, Adler J. Perotte
    http://arxiv.org/abs/2001.03115v1

    • [cs.LO]Probabilistic Reasoning across the Causal Hierarchy
    Duligur Ibeling, Thomas Icard
    http://arxiv.org/abs/2001.02889v1

    • [cs.MA]Multirobot Coverage of Linear Modular Environments
    Mirko Salaris, Alessandro Riva, Francesco Amigoni
    http://arxiv.org/abs/2001.02906v1

    • [cs.NE]Expected Improvement versus Predicted Value in Surrogate-Based Optimization
    Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein
    http://arxiv.org/abs/2001.02957v1

    • [cs.NI]Neural Network Tomography
    Liang Ma, Ziyao Zhang, Mudhakar Srivatsa
    http://arxiv.org/abs/2001.02942v1

    • [cs.RO]Benchmarking In-Hand Manipulation
    Silvia Cruciani, Balakumar Sundaralingam, Kaiyu Hang, Vikash Kumar, Tucker Hermans, Danica Kragic
    http://arxiv.org/abs/2001.03070v1

    • [cs.RO]Pivot calibration concept for sensor attached mobile c-arms
    Sing Chun Lee, Matthias Seibold, Philipp Fürnstahl, Mazda Farshad, Nassir Navab
    http://arxiv.org/abs/2001.03075v1

    • [cs.RO]Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control
    Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone
    http://arxiv.org/abs/2001.03093v1

    • [cs.SD]Streaming automatic speech recognition with the transformer model
    Niko Moritz, Takaaki Hori, Jonathan Le Roux
    http://arxiv.org/abs/2001.02674v2

    • [cs.SI]LibreSocial: A Peer-to-Peer Framework for Online Social Networks
    Kalman Graffi, Newton Masinde
    http://arxiv.org/abs/2001.02962v1

    • [cs.SI]Positive Algorithmic Bias Cannot Stop Fragmentation in Homophilic Social Networks
    Christian Blex, Taha Yasseri
    http://arxiv.org/abs/2001.02878v1

    • [eess.IV]An Emerging Coding Paradigm VCM: A Scalable Coding Approach Beyond Feature and Signal
    Sifeng Xia, Kunchangtai Liang, Wenhan Yang, Ling-Yu Duan, Jiaying Liu
    http://arxiv.org/abs/2001.03004v1

    • [eess.SP]Optimal quantizer structure for binary discrete input continuous output channels under an arbitrary quantized-output constraint
    Thuan Nguyen, Thinh Nguyen
    http://arxiv.org/abs/2001.02999v1

    • [eess.SP]Spatial-Temporal Transformer Networks for Traffic Flow Forecasting
    Mingxing Xu, Wenrui Dai, Chunmiao Liu, Xing Gao, Weiyao Lin, Guo-Jun Qi, Hongkai Xiong
    http://arxiv.org/abs/2001.02908v1

    • [math.OC]How to trap a gradient flow
    Sébastien Bubeck, Dan Mikulincer
    http://arxiv.org/abs/2001.02968v1

    • [math.OC]On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit
    Pranay Sharma, Prashant Khanduri, Lixin Shen, Donald J. Bucci Jr., Pramod K. Varshney
    http://arxiv.org/abs/2001.03166v1

    • [math.OC]Regularity and stability of feedback relaxed controls
    Christoph Reisinger, Yufei Zhang
    http://arxiv.org/abs/2001.03148v1

    • [math.ST]A note on Horvitz-Thompson estimators for rare subgroup analysis in the presence of interference
    Erin E Gabriel
    http://arxiv.org/abs/2001.02719v1

    • [math.ST]Minimax Optimal Conditional Independence Testing
    Matey Neykov, Sivaraman Balakrishnan, Larry Wasserman
    http://arxiv.org/abs/2001.03039v1

    • [q-bio.QM]Inflammatory Bowel Disease Biomarkers of Human Gut Microbiota Selected via Ensemble Feature Selection Methods
    Hilal Hacilar, O. Ufuk Nalbantoglu, Oya Aran, Burcu Bakir-Gungor
    http://arxiv.org/abs/2001.03019v1

    • [quant-ph]Capacity Approaching Coding for Low Noise Interactive Quantum Communication, Part I: Large Alphabets
    Debbie Leung, Ashwin Nayak, Ala Shayeghi, Dave Touchette, Penghui Yao, Nengkun Yu
    http://arxiv.org/abs/2001.02818v1

    • [quant-ph]Permutation Enhances Classical Communication Assisted by Entangled States
    Kun Wang, Masahito Hayashi
    http://arxiv.org/abs/2001.01845v2

    • [quant-ph]Thermodynamically-Efficient Local Computation: Classical and quantum information reservoirs and generators
    Samuel P. Loomis, James P. Crutchfield
    http://arxiv.org/abs/2001.02258v2

    • [stat.AP]Gasoline Pricing Policies for Transportation Safety
    Nima Safaei, Chao Zhou
    http://arxiv.org/abs/2001.02734v1

    • [stat.ME]Domination Number of an Interval Catch Digraph Family and its use for Testing Uniformity
    Elvan Ceyhan
    http://arxiv.org/abs/2001.03013v1

    • [stat.ME]Semi-automated simultaneous predictor selection for Regression-SARIMA models
    Aaron Lowther, Paul Fearnhead, Matthew Nunes, Kjeld Jensen
    http://arxiv.org/abs/2001.02883v1

    • [stat.ML]D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets
    Hai Shu, Zhe Qu, Hongtu Zhu
    http://arxiv.org/abs/2001.02856v1

    • [stat.ML]Resource-Efficient Neural Networks for Embedded Systems
    Wolfgang Roth, Günther Schindler, Matthias Zöhrer, Lukas Pfeifenberger, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani
    http://arxiv.org/abs/2001.03048v1

    • [stat.ML]Supervised Hyperalignment for multi-subject fMRI data alignment
    Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang
    http://arxiv.org/abs/2001.02894v1