astro-ph.IM - 仪器仪表和天体物理学方法 cs.AI - 人工智能 cs.CL - 计算与语言 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.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.MS - 数学软件 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.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.AP - 偏微分方程分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.MN - 分子网络 q-bio.QM - 定量方法 q-fin.CP -计算金融学 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Point Spread Function Modelling for Wide Field Small Aperture Telescopes with a Denoising Autoencoder
    • [cs.AI]A comparison of Vector Symbolic Architectures
    • [cs.AI]Augmenting Visual Question Answering with Semantic Frame Information in a Multitask Learning Approach
    • [cs.AI]Modeling Sensing and Perception Errors towards Robust Decision Making in Autonomous Vehicles
    • [cs.CL]An efficient automated data analytics approach to large scale computational comparative linguistics
    • [cs.CL]Break It Down: A Question Understanding Benchmark
    • [cs.CL]Hybrid Tiled Convolutional Neural Networks for Text Sentiment Classification
    • [cs.CL]Pretrained Transformers for Simple Question Answering over Knowledge Graphs
    • [cs.CL]Pseudo-Bidirectional Decoding for Local Sequence Transduction
    • [cs.CL]Self-Adversarial Learning with Comparative Discrimination for Text Generation
    • [cs.CL]Teaching Machines to Converse
    • [cs.CV]A Generative Adversarial Network for AI-Aided Chair Design
    • [cs.CV]A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks
    • [cs.CV]AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance
    • [cs.CV]Adversarial Code Learning for Image Generation
    • [cs.CV]C-DLinkNet: considering multi-level semantic features for human parsing
    • [cs.CV]Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor
    • [cs.CV]Dual Convolutional LSTM Network for Referring Image Segmentation
    • [cs.CV]Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion
    • [cs.CV]Generalized Visual Information Analysis via Tensorial Algebra
    • [cs.CV]Lossless Attention in Convolutional Networks for Facial Expression Recognition in the Wild
    • [cs.CV]Modality Compensation Network: Cross-Modal Adaptation for Action Recognition
    • [cs.CV]ParkingSticker: A Real-World Object Detection Dataset
    • [cs.CV]Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning
    • [cs.CV]Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN
    • [cs.CV]Search for Better Students to Learn Distilled Knowledge
    • [cs.CV]Symmetrical Synthesis for Deep Metric Learning
    • [cs.CV]UAV Autonomous Localization using Macro-Features Matching with a CAD Model
    • [cs.CV]Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling
    • [cs.CY]The Effect of Civic Knowledge and Attitudes on CS Student Work Preferences
    • [cs.DB]Edit Distance Embedding using Convolutional Neural Networks
    • [cs.DC]Tenderbake — Classical BFT Style Consensus for Public Blockchains
    • [cs.HC]A Review of Personality in Human Robot Interactions
    • [cs.HC]iCap: Interative Image Captioning with Predictive Text
    • [cs.IR]A Tool for Conducting User Studies on Mobile Devices
    • [cs.IR]Enhancement of Short Text Clustering by Iterative Classification
    • [cs.IT]Crowdsourced Classification with XOR Queries: Fundamental Limits and An Efficient Algorithm
    • [cs.IT]Lifted Reed-Solomon Codes with Application to Batch Codes
    • [cs.IT]On the Coverage Performance of Boolean-Poisson Cluster Models for Wireless Sensor Networks
    • [cs.IT]QoS-aware Stochastic Spatial PLS Model for Analysing Secrecy Performance under Eavesdropping and Jamming
    • [cs.IT]Rank and Kernel of $\mathbb{F}_p$-Additive Generalised Hadamard Codes
    • [cs.IT]Real-Time Deployment Aspects of C-Band and Millimeter-Wave 5G-NR Systems
    • [cs.IT]Resource Allocation for Intelligent Reflecting Surface-Assisted Cognitive Radio Networks
    • [cs.IT]Spatio-temporal Modeling for Massive and Sporadic Access
    • [cs.IT]Statistical Approximations of LOS/NLOS Probability in Urban Environment
    • [cs.LG]Additive Tree Ensembles: Reasoning About Potential Instances
    • [cs.LG]Adversarial Training for Aspect-Based Sentiment Analysis with BERT
    • [cs.LG]An Autonomous Intrusion Detection System Using Ensemble of Advanced Learners
    • [cs.LG]Boosting Simple Learners
    • [cs.LG]Concentration Inequalities for Multinoulli Random Variables
    • [cs.LG]Consensus-based Optimization on the Sphere II: Convergence to Global Minimizers and Machine Learning
    • [cs.LG]Deontological Ethics By Monotonicity Shape Constraints
    • [cs.LG]Domain-Adversarial and -Conditional State Space Model for Imitation Learning
    • [cs.LG]Encoding-based Memory Modules for Recurrent Neural Networks
    • [cs.LG]Faster Projection-free Online Learning
    • [cs.LG]Learning Perception and Planning with Deep Active Inference
    • [cs.LG]Local intrinsic dimensionality estimators based on concentration of measure
    • [cs.LG]Locally Private Distributed Reinforcement Learning
    • [cs.LG]Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks
    • [cs.LG]On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems
    • [cs.LG]Quaternion-Valued Recurrent Projection Neural Networks on Unit Quaternions
    • [cs.LG]Stable Prediction with Model Misspecification and Agnostic Distribution Shift
    • [cs.LG]Statistical stability indices for LIME: obtaining reliable explanations for Machine Learning models
    • [cs.LG]The Gâteaux-Hopfield Neural Network method
    • [cs.LG]Theory inspired deep network for instantaneous-frequency extraction and signal components recovery from discrete blind-source data
    • [cs.MA]A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation
    • [cs.MS]lbmpy: A flexible code generation toolkit for highly efficient lattice Boltzmann simulations
    • [cs.NE]CNN-based fast source device identification
    • [cs.NE]SGP-DT: Semantic Genetic Programming Based on Dynamic Targets
    • [cs.NI]Routing-Led Placement of VNFs in Arbitrary Networks
    • [cs.RO]Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion
    • [cs.RO]Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search
    • [cs.RO]Robot Navigation in Unseen Spaces using an Abstract Map
    • [cs.RO]SwarmCloak: Landing of Two Micro-Quadrotors on Human Hands Using Wearable Tactile Interface Driven by Light Intensity
    • [cs.RO]Using a memory of motion to efficiently achieve visual predictive control tasks
    • [cs.SI]Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook
    • [cs.SI]How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction
    • [eess.AS]A study on the role of subsidiary information in replay attack spoofing detection
    • [eess.IV]A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality
    • [eess.IV]Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control
    • [eess.IV]Automatic lung segmentation in routine imaging is a data diversity problem, not a methodology problem
    • [eess.IV]CosmoVAE: Variational Autoencoder for CMB Image Inpainting
    • [eess.IV]Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy
    • [eess.IV]Noise2Inverse: Self-supervised deep convolutional denoising for linear inverse problems in imaging
    • [eess.SP]ANN-Based Detection in MIMO-OFDM Systems with Low-Resolution ADCs
    • [eess.SP]Capacity-achieving Polar-based LDGM Codes with Crowdsourcing Applications
    • [eess.SP]Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks
    • [eess.SP]Fast Monte Carlo Dropout and Error Correction for Radio Transmitter Classification
    • [eess.SP]Geometry based Stochastic Channel Modeling using Ambit Processes
    • [math.AP]Consensus-Based Optimization on the Sphere I: Well-Posedness and Mean-Field Limit
    • [math.OC]Centralized and distributed online learning for sparse time-varying optimization
    • [math.PR]Geometrical bounds for the variance and recentered moments
    • [math.PR]Revisiting integral functionals of geometric Brownian motion
    • [math.ST]A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping
    • [math.ST]Bayes-optimal Methods for Finding the Source of a Cascade
    • [math.ST]Quasi-likelihood analysis for marked point processes and application to marked Hawkes processes
    • [math.ST]The time-adaptive statistical testing for random number generators
    • [q-bio.MN]Learning of signaling networks: molecular mechanisms
    • [q-bio.QM]HistomicsML2.0: Fast interactive machine learning for whole slide imaging data
    • [q-fin.CP]On Calibration Neural Networks for extracting implied information from American options
    • [quant-ph]A Hybrid Quantum enabled RBM Advantage: Convolutional Autoencoders For Quantum Image Compression and Generative Learning
    • [quant-ph]Learning Unitaries by Gradient Descent
    • [stat.AP]Housing Search in the Age of Big Data: Smarter Cities or the Same Old Blind Spots?
    • [stat.AP]Rapid Detection of Hot-spot by Tensor Decomposition with Application to Weekly Gonorrhea Data
    • [stat.CO]Non-reversibly updating a uniform [0,1] value for Metropolis accept/reject decisions
    • [stat.ME]A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate Regression in Brain Connectivity Analysis
    • [stat.ME]The e-value: A Fully Bayesian Significance Measure for Precise Statistical Hypotheses and its Research Program
    • [stat.ME]Two-Sample Testing for Event Impacts in Time Series
    • [stat.ME]p-Value as the Strength of Evidence Measured by Confidence Distribution
    • [stat.ML]Analytic Study of Double Descent in Binary Classification: The Impact of Loss
    • [stat.ML]Causal Structure Discovery from Distributions Arising from Mixtures of DAGs
    • [stat.ML]Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation
    • [stat.ML]Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus
    • [stat.ML]Learning Deep Analysis Dictionaries — Part I: Unstructured Dictionaries
    • [stat.ML]Learning the Hypotheses Space from data Part II: Convergence and Feasibility
    • [stat.ML]Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

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

    • [astro-ph.IM]Point Spread Function Modelling for Wide Field Small Aperture Telescopes with a Denoising Autoencoder
    Peng Jia, Xiyu Li, Zhengyang Li, Weinan Wang, Dongmei Cai
    http://arxiv.org/abs/2001.11716v1

    • [cs.AI]A comparison of Vector Symbolic Architectures
    Kenny Schlegel, Peer Neubert, Peter Protzel
    http://arxiv.org/abs/2001.11797v1

    • [cs.AI]Augmenting Visual Question Answering with Semantic Frame Information in a Multitask Learning Approach
    Mehrdad Alizadeh, Barbara Di Eugenio
    http://arxiv.org/abs/2001.11673v1

    • [cs.AI]Modeling Sensing and Perception Errors towards Robust Decision Making in Autonomous Vehicles
    Andrea Piazzoni, Jim Cherian, Martin Slavik, Justin Dauwels
    http://arxiv.org/abs/2001.11695v1

    • [cs.CL]An efficient automated data analytics approach to large scale computational comparative linguistics
    Gabija Mikulyte, David Gilbert
    http://arxiv.org/abs/2001.11899v1

    • [cs.CL]Break It Down: A Question Understanding Benchmark
    Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, Jonat
    1000
    han Berant
    http://arxiv.org/abs/2001.11770v1

    • [cs.CL]Hybrid Tiled Convolutional Neural Networks for Text Sentiment Classification
    Maria Mihaela Trusca, Gerasimos Spanakis
    http://arxiv.org/abs/2001.11857v1

    • [cs.CL]Pretrained Transformers for Simple Question Answering over Knowledge Graphs
    D. Lukovnikov, A. Fischer, J. Lehmann
    http://arxiv.org/abs/2001.11985v1

    • [cs.CL]Pseudo-Bidirectional Decoding for Local Sequence Transduction
    Wangchunshu Zhou, Tao Ge, Ke Xu
    http://arxiv.org/abs/2001.11694v1

    • [cs.CL]Self-Adversarial Learning with Comparative Discrimination for Text Generation
    Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou
    http://arxiv.org/abs/2001.11691v1

    • [cs.CL]Teaching Machines to Converse
    Jiwei Li
    http://arxiv.org/abs/2001.11701v1

    • [cs.CV]A Generative Adversarial Network for AI-Aided Chair Design
    Zhibo Liu, Feng Gao, Yizhou Wang
    http://arxiv.org/abs/2001.11715v1

    • [cs.CV]A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks
    C. Qiu, M. Schmitt, C. Geiss, T. K. Chen, X. X. Zhu
    http://arxiv.org/abs/2001.11935v1

    • [cs.CV]AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance
    Ilker Bozcan, Erdal Kayacan
    http://arxiv.org/abs/2001.11737v1

    • [cs.CV]Adversarial Code Learning for Image Generation
    Jiangbo Yuan, Bing Wu, Wanying Ding, Qing Ping, Zhendong Yu
    http://arxiv.org/abs/2001.11539v1

    • [cs.CV]C-DLinkNet: considering multi-level semantic features for human parsing
    Yu Lu, Muyan Feng, Ming Wu, Chuang Zhang
    http://arxiv.org/abs/2001.11690v1

    • [cs.CV]Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor
    Sevegni Odilon Clement Allognon, Alessandro L. Koerich, Alceu de S. Britto Jr
    http://arxiv.org/abs/2001.11976v1

    • [cs.CV]Dual Convolutional LSTM Network for Referring Image Segmentation
    Linwei Ye, Zhi Liu, Yang Wang
    http://arxiv.org/abs/2001.11561v1

    • [cs.CV]Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion
    Wenbo Dong, Pravakar Roy, Cheng Peng, Volkan Isler
    http://arxiv.org/abs/2001.11584v1

    • [cs.CV]Generalized Visual Information Analysis via Tensorial Algebra
    Liang Liao, Stephen John Maybank
    http://arxiv.org/abs/2001.11708v1

    • [cs.CV]Lossless Attention in Convolutional Networks for Facial Expression Recognition in the Wild
    Chuang Wang, Ruimin Hu, Min Hu, Jiang Liu, Ting Ren, Shan He, Ming Jiang, Jing Miao
    http://arxiv.org/abs/2001.11869v1

    • [cs.CV]Modality Compensation Network: Cross-Modal Adaptation for Action Recognition
    Sijie Song, Jiaying Liu, Yanghao Li, Zongming Guo
    http://arxiv.org/abs/2001.11657v1

    • [cs.CV]ParkingSticker: A Real-World Object Detection Dataset
    Ethem F. Can, Caroline Potts, Aysu Ezen Can, Xiangqian Hu
    http://arxiv.org/abs/2001.11639v1

    • [cs.CV]Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning
    Gregory J. Zelinsky, Yupei Chen, Seoyoung Ahn, Hossein Adeli, Zhibo Yang, Lihan Huang, Dimitrios Samaras, Minh Hoai
    http://arxiv.org/abs/2001.11921v1

    • [cs.CV]Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN
    Milad Mozafari, Leila Reddy, Rufin VanRullen
    http://arxiv.org/abs/2001.11761v1

    • [cs.CV]Search for Better Students to Learn Distilled Knowledge
    Jindong Gu, Volker Tresp
    http://arxiv.org/abs/2001.11612v1

    • [cs.CV]Symmetrical Synthesis for Deep Metric Learning
    Geonmo Gu, Byungsoo Ko
    http://arxiv.org/abs/2001.11658v1

    • [cs.CV]UAV Autonomous Localization using Macro-Features Matching with a CAD Model
    Akkas Haque, Ahmed Elsaharti, Tarek Elderini, Mohamed Atef Elsaharty, Jeremiah Neubert
    http://arxiv.org/abs/2001.11610v1

    • [cs.CV]Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling
    Sathyanarayanan N. Aakur, Arunkumar Bagavathi
    http://arxiv.org/abs/2001.11580v1

    • [cs.CY]The Effect of Civic Knowledge and Attitudes on CS Student Work Preferences
    Antti Knutas, Andrew Petersen
    http://arxiv.org/abs/2001.11810v1

    • [cs.DB]Edit Distance Embedding using Convolutional Neural Networks
    Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng
    http://arxiv.org/abs/2001.11692v1

    • [cs.DC]Tenderbake — Classical BFT Style Consensus for Public Blockchains
    Lăcrămioara Aştefanoaei, Pierre Chambart, Antonella Del Pozzo, Edward Tate, Sara Tucci, Eugen Zălinescu
    http://arxiv.org/abs/2001.11965v1

    • [cs.HC]A Review of Personality in Human Robot Interactions
    Lionel P. Robert, Rasha Alahmad, Connor Esterwood, Sangmi Kim, Sangseok You, Qiaoning Zhang
    http://arxiv.org/abs/2001.11777v1

    • [cs.HC]iCap: Interative Image Captioning with Predictive Text
    Zhengxiong Jia, Xirong Li
    http://arxiv.org/abs/2001.11782v1

    • [cs.IR]A Tool for Conducting User Studies on Mobile Devices
    Luca Costa, Mohammad Aliannejadi, Fabio Crestani
    http://arxiv.org/abs/2001.11913v1

    • [cs.IR]Enhancement of Short Text Clustering by Iterative Classification
    Md Rashadul Hasan Rakib, Norbert Zeh, Magdalena Jankowska, Evangelos Milios
    http://arxiv.org/abs/2001.11631v1

    • [cs.IT]Crowdsourced Classification with XOR Queries: Fundamental Limits and An Efficient Algorithm
    Daesung Kim, Hye Won Chung
    http://arxiv.org/abs/2001.11775v1

    • [cs.IT]Lifted Reed-Solomon Codes with Application to Batch Codes
    Lukas Holzbaur, Rina Polyanskaya, Nikita Polyanskii, Ilya Vorobyev
    http://arxiv.org/abs/2001.11981v1

    • [cs.IT]On the Coverage Performance of Boolean-Poisson Cluster Models for Wireless Sensor Networks
    Kaushlendra Pandey, Abhishek Gupta
    http://arxiv.org/abs/2001.11920v1

    • [cs.IT]QoS-aware Stochastic Spatial PLS Model for Analysing Secrecy Performance under Eavesdropping and Jamming
    Bhawna Ahuja, Deepak Mishra, Ranjan Bose
    http://arxiv.org/abs/2001.11664v1

    • [cs.IT]Rank and Kernel of $\mathbb{F}_p$-Additive Generalised Hadamard Codes
    Steven T. Dougherty, Josep Rifà, Mercè Villanueva
    http://arxiv.org/abs/2001.11609v1

    • [cs.IT]Real-Time Deployment Aspects of C-Band and Millimeter-Wave 5G-NR Systems
    Mansoor Shafi, Harsh Tataria, Andreas F. Molisch, Fredrik Tufvesson, Geoff Tunnicliffe
    http://arxiv.org/abs/2001.11903v1

    • [cs.IT]Resource Allocation for Intelligent Reflecting Surface-Assisted Cognitive Radio Networks
    Dongfang Xu, Xianghao Yu, Robert Schober
    http://arxiv.org/abs/2001.11729v1

    • [cs.IT]Spatio-temporal Modeling for Massive and Sporadic Access
    Yi Zhong, Guoqiang Mao, Xiaohu Ge
    http://arxiv.org/abs/2001.11783v1

    • [cs.IT]Statistical Approximations of LOS/NLOS Probability in Urban Environment
    Rimvydas Aleksiejunas
    http://arxiv.org/abs/2001.11813v1

    • [cs.LG]Additive Tree Ensembles: Reasoning About Potential Instances
    Laurens Devos, Wannes Meert, Jesse Davis
    http://arxiv.org/abs/2001.11905v1

    • [cs.LG]Adversarial Training for Aspect-Based Sentiment Analysis with BERT
    Akbar Karimi, Leonardo Rossi, Andrea Prati, Katharina Full
    http://arxiv.org/abs/2001.11316v2

    • [cs.LG]An Autonomous Intrusion Detection System Using Ensemble of Advanced Learners
    Amir Andalib, Vahid Tabataba Vakili
    http://arxiv.org/abs/2001.11936v1

    • [cs.LG]Boosting Simple Learners
    Noga Alon, Alon Gonen, Elad Hazan, Shay Moran
    http://arxiv.org/abs/2001.11704v1

    • [cs.LG]Concentration Inequalities for Multinoulli Random Variables
    Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
    http://arxiv.org/abs/2001.11595v1

    • [cs.LG]Consensus-based Optimization on the Sphere II: Convergence to Global Minimizers and Machine Learning
    Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen
    http://arxiv.org/abs/2001.11988v1

    • [cs.LG]Deontological Ethics By Monotonicity Shape Constraints
    Serena Wang, Maya Gupta
    http://arxiv.org/abs/2001.11990v1

    • [cs.LG]Domain-Adversarial and -Conditional State Space Model for Imitation Learning
    Ryo Okumura, Masashi Okada, Tadahiro Taniguchi
    http://arxiv.org/abs/2001.11628v1

    • [cs.LG]Encoding-based Memory Modules for Recurrent Neural Networks
    Antonio Carta, Alessandro Sperduti, Davide Bacciu
    http://arxiv.org/abs/2001.11771v1

    • [cs.LG]Faster Projection-free Online Learning
    Elad Hazan, Edgar Minasyan
    http://arxiv.org/abs/2001.11568v1

    • [cs.LG]Learning Perception and Planning with Deep Active Inference
    Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt
    http://arxiv.org/abs/2001.11841v1

    • [cs.LG]Local intrinsic dimensionality estimators based on concentration of measure
    Jonathan Bac, Andrei Zinovyev
    http://arxiv.org/abs/2001.11739v1

    • [cs.LG]Locally Private Distributed Reinforcement Learning
    Hajime Ono, Tsubasa Takahashi
    http://arxiv.org/abs/2001.11718v1

    • [cs.LG]Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks
    Joseph Suarez, Yilun Du, Igor Mordach, Phillip Isola
    http://arxiv.org/abs/2001.12004v1

    • [cs.LG]On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems
    Dan Garber
    http://arxiv.org/abs/2001.11668v1

    • [cs.LG]Quaternion-Valued Recurrent Projection Neural Networks on Unit Quaternions
    Marcos Eduardo Valle, Rodolfo Anibal Lobo
    http://arxiv.org/abs/2001.11846v1

    • [cs.LG]Stable Prediction with Model Misspecification and Agnostic Distribution Shift
    Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
    http://arxiv.org/abs/2001.11713v1

    • [cs.LG]Statistical stability indices for LIME: obtaining reliable explanations for Machine Learning models
    Giorgio Visani, Enrico Bagli, Federico Chesani, Alessandro Poluzzi, Davide Capuzzo
    http://arxiv.org/abs/2001.11757v1

    • [cs.LG]The Gâteaux-Hopfield Neural Network method
    Felipe Silva Carvalho, João Pedro Braga
    http://arxiv.org/abs/2001.11853v1

    • [cs.LG]Theory inspired deep network for instantaneous-frequency extraction and signal components recovery from discrete blind-source data
    Charles K. Chui, Ningning Han, Hrushikesh N. Mhaskar
    http://arxiv.org/abs/2001.12006v1

    • [cs.MA]A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation
    Pallavi Bagga, Nicola Paoletti, Kostas Stathis
    http://arxiv.org/abs/2001.11785v1

    • [cs.MS]lbmpy: A flexible code generation toolkit for highly efficient lattice Boltzmann simulations
    Martin Bauer, Harald Köstler, Ulrich Rüde
    http://arxiv.org/abs/2001.11806v1

    • [cs.NE]CNN-based fast source device identification
    Sara Mandelli, Davide Cozzolino, Paolo Bestagini, Luisa Verdoliva, Stefano Tubaro
    http://arxiv.org/abs/2001.11847v1

    • [cs.NE]SGP-DT: Semantic Genetic Programming Based on Dynamic Targets
    Valerio Terragni, Jason H. Moore
    http://arxiv.org/abs/2001.11535v1

    • [cs.NI]Routing-Led Placement of VNFs in Arbitrary Networks
    Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas
    http://arxiv.org/abs/2001.11565v1

    • [cs.RO]Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion
    Teguh Santoso Lembono, Carlos Mastalli, Pierre Fernbach, Nicolas Mansard, Sylvain Calinon
    http://arxiv.org/abs/2001.11751v1

    • [cs.RO]Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search
    Stuart Eiffert, He Kong, Navid Pirmarzdashti, Salah Sukkarieh
    http://arxiv.org/abs/2001.11597v1

    • [cs.RO]Robot Navigation in Unseen Spaces using an Abstract Map
    Ben Talbot, Feras Dayoub, Peter Corke, Gordon Wyeth
    http://arxiv.org/abs/2001.11684v1

    • [cs.RO]SwarmCloak: Landing of Two Micro-Quadrotors on Human Hands Using Wearable Tactile Interface Driven by Light Intensity
    Evgeny Tsykunov, Ruslan Agishev, Roman Ibrahimov, Taha Moriyama, Luiza Labazanova, Hiroyuki Kajimoto, Dzmitry Tsetserukou
    http://arxiv.org/abs/2001.11717v1

    • [cs.RO]Using a memory of motion to efficiently achieve visual predictive control tasks
    Antonio Paolillo, Teguh Santoso Lembono, Sylvain Calinon
    http://arxiv.org/abs/2001.11759v1

    • [cs.SI]Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook
    Márcio Silva, Lucas Santos de Oliveira, Athanasios Andreou, Pedro Olmo Vaz de Melo, Oana Goga, Fabrício Benevenuto
    http://arxiv.org/abs/2001.10581v2

    • [cs.SI]How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction
    Se-eun Yoon, Hyungseok Song, Kijung Shin, Yung Yi
    http://arxiv.org/abs/2001.11181v2

    • [eess.AS]A study on the role of subsidiary information in replay attack spoofing detection
    Jee-weon Jung, Hye-jin Shim, Hee-Soo Heo, Ha-Jin Yu
    http://arxiv.org/abs/2001.11688v1

    • [eess.IV]A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality
    Richard Shaw, Carole H. Sudre, Sebastien Ourselin, M. Jorge Cardoso
    http://arxiv.org/abs/2001.11927v1

    • [eess.IV]Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control
    Esther Puyol Anton, Bram Ruijsink, Christian F. Baumgartner, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King
    http://arxiv.org/abs/2001.11711v1

    • [eess.IV]Automatic lung segmentation in routine imaging is a data diversity problem, not a methodology problem
    Johannes Hofmanninger, Florian Prayer, Jeanny Pan, Sebastian Rohrich, Helmut Prosch, Georg Langs
    http://arxiv.org/abs/2001.11767v1

    • [eess.IV]CosmoVAE: Variational Autoencoder for CMB Image Inpainting
    Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yu Guang Wang
    http://arxiv.org/abs/2001.11651v1

    • [eess.IV]Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy
    Zhaotao Wu, Jia Wei, Wenguang Yuan, Jiabing Wang, Tolga Tasdizen
    http://arxiv.org/abs/2001.11698v1

    • [eess.IV]Noise2Inverse: Self-supervised deep convolutional denoising for linear inverse problems in imaging
    Allard A. Hendriksen, Daniel M. Pelt, K. Joost Batenburg
    http://arxiv.org/abs/2001.11801v1

    • [eess.SP]ANN-Based Detection in MIMO-OFDM Systems with Low-Resolution ADCs
    Shabnam Rezaei, Sofiene Affes
    http://arxiv.org/abs/2001.11643v1

    • [eess.SP]Capacity-achieving Polar-based LDGM Codes with Crowdsourcing Applications
    James Chin-Jen Pang, Hessam Mahdavifar, S. Sandeep Pradhan
    http://arxiv.org/abs/2001.11986v1

    • [eess.SP]Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks
    Stavros Deligiannidis, Adonis Bogris, Charis Mesaritakis, Yannis Kopsinis
    http://arxiv.org/abs/2001.11802v1

    • [eess.SP]Fast Monte Carlo Dropout and Error Correction for Radio Transmitter Classification
    Liangping Ma, John Kaewell
    http://arxiv.org/abs/2001.11963v1

    • [eess.SP]Geometry based Stochastic Channel Modeling using Ambit Processes
    Rakesh R. T., Emanuele Viterbo
    http://arxiv.org/abs/2001.11636v1

    • [math.AP]Consensus-Based Optimization on the Sphere I: Well-Posedness and Mean-Field Limit
    Massimo Fornasier, Hui Huang, Lorenzo Pareschi, Philippe Sünnen
    http://arxiv.org/abs/2001.11994v1

    • [math.OC]Centralized and distributed online learning for sparse time-varying optimization
    Sophie M. Fosson
    http://arxiv.org/abs/2001.11939v1

    • [math.PR]Geometrical bounds for the variance and recentered moments
    Tongseok Lim, Robert J. McCann
    http://arxiv.org/abs/2001.11851v1

    • [math.PR]Revisiting integral functionals of geometric Brownian motion
    Elena Boguslavskaya, Lioudmila Vostrikova
    http://arxiv.org/abs/2001.11861v1

    • [math.ST]A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping
    Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Angélique Ponçot, Didier Lucor
    http://arxiv.org/abs/2001.11860v1

    • [math.ST]Bayes-optimal Methods for Finding the Source of a Cascade
    Anirudh Sridhar, H. Vincent Poor
    http://arxiv.org/abs/2001.11942v1

    • [math.ST]Quasi-likelihood analysis for marked point processes and application to marked Hawkes processes
    Simon Clinet
    http://arxiv.org/abs/2001.11624v1

    • [math.ST]The time-adaptive statistical testing for random number generators
    Boris Ryabko
    http://arxiv.org/abs/2001.11838v1

    • [q-bio.MN]Learning of signaling networks: molecular mechanisms
    Péter Csermely, Nina Kunsic, Péter Mendik, Márk Kerestély, Teodóra Faragó, Dániel V. Veres, Péter Tompa
    http://arxiv.org/abs/2001.11679v1

    • [q-bio.QM]HistomicsML2.0: Fast interactive machine learning for whole slide imaging data
    Sanghoon Lee, Mohamed Amgad, Deepak R. Chittajallu, Matt McCormick, Brian P Pollack, Habiba Elfandy, Hagar Hussein, David A Gutman, Lee AD Cooper
    http://arxiv.org/abs/2001.11547v1

    • [q-fin.CP]On Calibration Neural Networks for extracting implied information from American options
    Shuaiqiang Liu, Álvaro Leitao, Anastasia Borovykh, Cornelis W. Oosterlee
    http://arxiv.org/abs/2001.11786v1

    • [quant-ph]A Hybrid Quantum enabled RBM Advantage: Convolutional Autoencoders For Quantum Image Compression and Generative Learning
    Jennifer Sleeman, John Dorband, Milton Halem
    http://arxiv.org/abs/2001.11946v1

    • [quant-ph]Learning Unitaries by Gradient Descent
    Bobak Toussi Kiani, Seth Lloyd, Reevu Maity
    http://arxiv.org/abs/2001.11897v1

    • [stat.AP]Housing Search in the Age of Big Data: Smarter Cities or the Same Old Blind Spots?
    Geoff Boeing, Max Besbris, Ariela Schachter, John Kuk
    http://arxiv.org/abs/2001.11585v1

    • [stat.AP]Rapid Detection of Hot-spot by Tensor Decomposition with Application to Weekly Gonorrhea Data
    Yujie Zhao, Hao Yan, Sarah E. Holte, Roxanne P. Kerani, Yajun Mei
    http://arxiv.org/abs/2001.11685v1

    • [stat.CO]Non-reversibly updating a uniform [0,1] value for Metropolis accept/reject decisions**
    Radford M. Neal
    http://arxiv.org/abs/2001.11950v1

    • [stat.ME]A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate Regression in Brain Connectivity Analysis
    Damian Brzyski, Xixi Hu, Joaquin Goni, Beau Ances, Timothy W. Randolph, Jaroslaw Harezlak
    http://arxiv.org/abs/2001.11548v1

    • [stat.ME]The e-value: A Fully Bayesian Significance Measure for Precise Statistical Hypotheses and its Research Program
    Julio Michael Stern, Carlos Alberto de Braganca Pereira
    http://arxiv.org/abs/2001.10577v2

    • [stat.ME]Two-Sample Testing for Event Impacts in Time Series
    Erik Scharwächter, Emmanuel Müller
    http://arxiv.org/abs/2001.11930v1

    • [stat.ME]p-Value as the Strength of Evidence Measured by Confidence Distribution
    Sifan Liu, Regina Liu, Min-ge Xie
    http://arxiv.org/abs/2001.11945v1

    • [stat.ML]Analytic Study of Double Descent in Binary Classification: The Impact of Loss
    Ganesh Kini, Christos Thrampoulidis
    http://arxiv.org/abs/2001.11572v1

    • [stat.ML]Causal Structure Discovery from Distributions Arising from Mixtures of DAGs
    Basil Saeed, Snigdha Panigrahi, Caroline Uhler
    http://arxiv.org/abs/2001.11940v1

    • [stat.ML]Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation
    Mattias Åkesson, Prashant Singh, Fredrik Wrede, Andreas Hellander
    http://arxiv.org/abs/2001.11760v1

    • [stat.ML]Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus
    Nicole Hallett, Kai Yi, Josef Dick, Christopher Hodge, Gerard Sutton, Yu Guang Wang, Jingjing You
    http://arxiv.org/abs/2001.11653v1

    • [stat.ML]Learning Deep Analysis Dictionaries — Part I: Unstructured Dictionaries
    Jun-Jie Huang, Pier Luigi Dragotti
    http://arxiv.org/abs/2001.12010v1

    • [stat.ML]Learning the Hypotheses Space from data Part II: Convergence and Feasibility
    Diego Marcondes, Adilson Simonis, Junior Barrera
    http://arxiv.org/abs/2001.11578v1

    • [stat.ML]Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
    Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy
    http://arxiv.org/abs/2001.11659v1