cond-mat.dis-nn - 无序系统与神经网络 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.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.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.SE - 软件工程 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.CT - 范畴论 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.dis-nn]Effectively Trainable Semi-Quantum Restricted Boltzmann Machine
    • [cs.AI]What’s a Good Prediction? Issues in Evaluating General Value Functions Through Error
    • [cs.CL]Exploration Based Language Learning for Text-Based Games
    • [cs.CL]Fine-Tuning a Transformer-Based Language Model to Avoid Generating Non-Normative Text
    • [cs.CL]Linguistic Fingerprints of Internet Censorship: the Case of SinaWeibo
    • [cs.CL]MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers
    • [cs.CL]Semi-Autoregressive Training Improves Mask-Predict Decoding
    • [cs.CR]Are Distributed Ledger Technologies Ready for Smart Transportation Systems?
    • [cs.CR]Wibson Protocol for Secure Data Exchange and Batch Payments
    • [cs.CV]6D Object Pose Regression via Supervised Learning on Point Clouds
    • [cs.CV]A Branching and Merging Convolutional Network with Homogeneous Filter Capsules
    • [cs.CV]An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection
    • [cs.CV]Character-independent font identification
    • [cs.CV]Cloud-Net+: A Cloud Segmentation CNN for Landsat 8 Remote Sensing Imagery Optimized with Filtered Jaccard Loss Function
    • [cs.CV]Deep Bayesian Network for Visual Question Generation
    • [cs.CV]Deep Non-Line-of-Sight Reconstruction
    • [cs.CV]Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation
    • [cs.CV]Progressive Local Filter Pruning for Image Retrieval Acceleration
    • [cs.CV]RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation
    • [cs.CV]SOLAR: Second-Order Loss and Attention for Image Retrieval
    • [cs.CV]SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor
    • [cs.CV]Small, Accurate, and Fast Vehicle Re-ID on the Edge: the SAFR Approach
    • [cs.CV]Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods
    • [cs.CV]TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
    • [cs.CV]Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments
    • [cs.CY]Interventions for Ranking in the Presence of Implicit Bias
    • [cs.CY]Machine Understandable Policies and GDPR Compliance Checking
    • [cs.CY]Teaching Performance Modeling in the era of millennials
    • [cs.CY]Whose Tweets are Surveilled for the Police: An Audit of Social-Media Monitoring Tool via Log Files
    • [cs.DC]Priority-based Fair Scheduling in Edge Computing
    • [cs.HC]Machine learning based co-creative design framework
    • [cs.HC]The Impact of Content Commenting on User Continuance in Online Q&A Communities: An Affordance Perspective
    • [cs.IR]Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation
    • [cs.IR]Uneven Coverage of Natural Disasters in Wikipedia: the Case of Flood
    • [cs.IT]A Combinatorial View of the Service Rates of Codes Problem, its Equivalence to Fractional Matching and its Connection with Batch Codes
    • [cs.IT]A Geometric View of the Service Rates of Codes Problem and its Application to the Service Rate of the First Order Reed-Muller Codes
    • [cs.IT]Bounds for the capacity error function for unidirectional channels with noiseless feedback
    • [cs.IT]Families of Multidimensional Arrays with Good Autocorrelation and Asymptotically Optimal Cross-correlation
    • [cs.IT]Increasing the Raw Key Rate in Energy-Time Entanglement Based Quantum Key Distribution
    • [cs.IT]Intelligent Reflecting Surface Assisted Secure Wireless Communications with Multiple-Transmit and Multiple-Receive Antennas
    • [cs.IT]Intelligent Reflecting Surface-Assisted Multiple Access with User Pairing: NOMA or OMA?
    • [cs.IT]Limits on Gradient Compression for Stochastic Optimization
    • [cs.IT]Maximizing the Bregman divergence from a Bregman family
    • [cs.IT]Online Resource Procurement and Allocation in a Hybrid Edge-Cloud Computing System
    • [cs.IT]Weight distributions and weight hierarchies of two classes of binary linear codes
    • [cs.LG]Active Learning for Entity Alignment
    • [cs.LG]Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
    • [cs.LG]Compressing Language Models using Doped Kronecker Products
    • [cs.LG]Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks
    • [cs.LG]Graph Constrained Reinforcement Learning for Natural Language Action Spaces
    • [cs.LG]Improving generalisation of AutoML systems with dynamic fitness evaluations
    • [cs.LG]Kernel of CycleGAN as a Principle homogeneous space
    • [cs.LG]Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning
    • [cs.LG]MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network
    • [cs.LG]PDE-based Group Equivariant Convolutional Neural Networks
    • [cs.LG]PairNets: Novel Fast Shallow Artificial Neural Networks on Partitioned Subspaces
    • [cs.LG]PoWER-BERT: Accelerating BERT inference for Classification Tasks
    • [cs.LG]RePAD: Real-time Proactive Anomaly Detection for Time Series
    • [cs.LG]Reasoning About Generalization via Conditional Mutual Information
    • [cs.LG]Reducing the Representation Error of GAN Image Priors Using the Deep Decoder
    • [cs.LG]Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification
    • [cs.LG]Theoretically Expressive and Edge-aware Graph Learning
    • [cs.LG]Towards Graph Representation Learning in Emergent Communication
    • [cs.LG]Universal Data Anomaly Detection via Inverse Generative Adversary Network
    • [cs.NE]DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform
    • [cs.NE]Design optimisation of a multi-mode wave energy converter
    • [cs.NE]On the Performance of Metaheuristics: A Different Perspective
    • [cs.NE]Runtime Performances of Randomized Search Heuristics for the Dynamic Weighted Vertex Cover Problem
    • [cs.NI]Synchronous Transmissions in Low-Power Wireless: A Survey of Communication Protocols and Network Services
    • [cs.NI]When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions
    • [cs.RO]Autonomous Control of a Line Follower Robot Using a Q-Learning Controller
    • [cs.RO]Bilaterally Mirrored Movements Improve the Accuracy and Precision of Training Data for Supervised Learning of Neural or Myoelectric Prosthetic Control
    • [cs.RO]Encoding Physical Constraints in Differentiable Newton-Euler Algorithm
    • [cs.RO]Inexpensive and Portable System for Dexterous High-Density Myoelectric Control of Multiarticulate Prostheses
    • [cs.RO]Perception as prediction using general value functions in autonomous driving applications
    • [cs.RO]What went wrong?: Identification of Everyday Object Manipulation Anomalies
    • [cs.SE]Towards a Framework for Certification of Reliable Autonomous Systems
    • [cs.SI]A Dynamical Systems Perspective Reveals Coordination in Russian Twitter Operations
    • [cs.SI]MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks
    • [cs.SI]Relational Thematic Clustering with Mutually Preferred Neighbors
    • [eess.AS]Low-rank Gradient Approximation For Memory-Efficient On-device Training of Deep Neural Network
    • [eess.AS]Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls
    • [eess.AS]Semi-supervised ASR by End-to-end Self-training
    • [eess.IV]Polarimetric Guided Nonlocal Means Covariance Matrix Estimation for Defoliation Mapping
    • [eess.SP]Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks
    • [math.CT]Rewriting Structured Cospans
    • [math.OC]Cooperative versus decentralized strategies in three-pursuer single-evader games
    • [math.OC]Discrete graphical models — an optimization perspective
    • [math.OC]From Nesterov’s Estimate Sequence to Riemannian Acceleration
    • [math.PR]Arcsine laws for random walks generated from random permutations with applications to genomics
    • [math.ST]Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms
    • [physics.soc-ph]Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis
    • [q-bio.NC]Intensity Discriminability of Electrocutaneous and Intraneural Stimulation Pulse Frequency in Intact Individuals and Amputees
    • [q-bio.PE]TADPOLE Challenge: Accurate Alzheimer’s disease prediction through crowdsourced forecasting of future data
    • [stat.AP]Forecasting football matches by predicting match statistics
    • [stat.AP]The impact of overbooking on a pre-trial risk assessment tool
    • [stat.ME]Confounder selection strategies targeting stable treatment effect estimators
    • [stat.ME]Maximum Likelihood Estimation of Spatially Varying Coefficient Models for Large Data with an Application to Real Estate Price Prediction
    • [stat.ME]Optimal Design for Probit Choice Models with Dependent Utilities
    • [stat.ML]Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis

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

    • [cond-mat.dis-nn]Effectively Trainable Semi-Quantum Restricted Boltzmann Machine
    Ya. S. Lyakhova, E. A. Polyakov, A. N. Rubtsov
    http://arxiv.org/abs/2001.08997v1

    • [cs.AI]What’s a Good Prediction? Issues in Evaluating General Value Functions Through Error
    Alex Kearney, Anna Koop, Patrick M. Pilarski
    http://arxiv.org/abs/2001.08823v1

    • [cs.CL]Exploration Based Language Learning for Text-Based Games
    Andrea Madotto, Mahdi Namazifar, Joost Huizinga, Piero Molino, Adrien Ecoffet, Huaixiu Zheng, Alexandros Papangelis, Dian Yu, Chandra Khatri, Gokhan Tur
    http://arxiv.org/abs/2001.08868v1

    • [cs.CL]Fine-Tuning a Transformer-Based Language Model to Avoid Generating Non-Normative Text
    Xiangyu Peng, Siyan Li, Spencer Frazier, Mark Riedl
    http://arxiv.org/abs/2001.08764v1

    • [cs.CL]Linguistic Fingerprints of Internet Censorship: the Case of SinaWeibo
    Kei Yin Ng, Anna Feldman, Jing Peng
    http://arxiv.org/abs/2001.08845v1

    • [cs.CL]MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers
    Muhammad Raza Khan, Morteza Ziyadi, Mohamed AbdelHady
    http://arxiv.org/abs/2001.08904v1

    • [cs.CL]Semi-Autoregressive Training Improves Mask-Predict Decoding
    Marjan Ghazvininejad, Omer Levy, Luke Zettlemoyer
    http://arxiv.org/abs/2001.08785v1

    • [cs.CR]Are Distributed Ledger Technologies Ready for Smart Transportation Systems?
    Mirko Zichichi, Stefano Ferretti, Gabriele D’Angelo
    http://arxiv.org/abs/2001.09018v1

    • [cs.CR]Wibson Protocol for Secure Data Exchange and Batch Payments
    Daniel Fernandez, Ariel Futoransky, Gustavo Ajzenman, Matias Travizano, Carlos Sarraute
    http://arxiv.org/abs/2001.08832v1

    • [cs.CV]6D Object Pose Regression via Supervised Learning on Point Clouds
    Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang, Simone Frintrop
    http://arxiv.org/abs/2001.08942v1

    • [cs.CV]A Branching and Merging Convolutional Network with Homogeneous Filter Capsules
    Adam Byerly, Tatiana Kalganova
    http://arxiv.org/abs/2001.09136v1

    • [cs.CV]An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection
    Rujikorn Charakorn, Yuttapong Thawornwattana, Sirawaj Itthipuripat, Nick Pawlowski, Poramate Manoonpong, Nat Dilokthanakul
    http://arxiv.org/abs/2001.08957v1

    • [cs.CV]Character-independent font identification
    Daichi Haraguchi, Shota Harada, Brian Kenji Iwana, Yuto Shinahara, Seiichi Uchida
    http://arxiv.org/abs/2001.08893v1

    • [cs.CV]Cloud-Net+: A Cloud Segmentation CNN for Landsat 8 Remote Sensing Imagery Optimized with Filtered Jaccard Loss Function
    Sorour Mohajerani, Parvaneh Saeedi
    http://arxiv.org/abs/2001.08768v1

    • [cs.CV]Deep Bayesian Network for Visual Question Generation
    Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri
    http://arxiv.org/abs/2001.08779v1

    • [cs.CV]Deep Non-Line-of-Sight Reconstruction
    Javier Grau Chopite, Matthias B. Hullin, Michael Wand, Julian Iseringhausen
    http://arxiv.org/abs/2001.09067v1

    • [cs.CV]Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation
    Yifei Chen, Haoyu Ma, Deying Kong, Xiangyi Yan, Jianbao Wu, Wei Fan, Xiaohui Xie
    http://arxiv.org/abs/2001.08869v1

    • [cs.CV]Progressive Local Filter Pruning for Image Retrieval Acceleration
    Xiaodong Wang, Zhedong Zheng, Yang He, Fei Yan, Zhiqiang Zeng, Yi Yang
    http://arxiv.org/abs/2001.08878v1

    • [cs.CV]RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation
    Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka
    http://arxiv.org/abs/2001.09138v1

    • [cs.CV]SOLAR: Second-Order Loss and Attention for Image Retrieval
    Tony Ng, Vassileios Balntas, Yurun Tian, Krystian Mikolajczyk
    http://arxiv.org/abs/2001.08972v1

    • [cs.CV]SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor
    Jiachen Xu, Jingyu Gong, Jie Zhou, Xin Tan, Yuan Xie, Lizhuang Ma
    http://arxiv.org/abs/2001.09087v1

    • [cs.CV]Small, Accurate, and Fast Vehicle Re-ID on the Edge: the SAFR Approach
    Abhijit Suprem, Calton Pu, Joao Eduardo Ferreira
    http://arxiv.org/abs/2001.08895v1

    • [cs.CV]Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods
    Yahia Assiri
    http://arxiv.org/abs/2001.08856v1

    • [cs.CV]TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
    Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
    http://arxiv.org/abs/2001.09099v1

    • [cs.CV]Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments
    Stefan Schubert, Peer Neubert, Peter Protzel
    http://arxiv.org/abs/2001.08960v1

    • [cs.CY]Interventions for Ranking in the Presence of Implicit Bias
    L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
    http://arxiv.org/abs/2001.08767v1

    • [cs.CY]Machine Understandable Policies and GDPR Compliance Checking
    Piero A. Bonatti, Sabrina Kirrane, Iliana M. Petrova, Luigi Sauro
    http://arxiv.org/abs/2001.08930v1

    • [cs.CY]Teaching Performance Modeling in the era of millennials
    Vittoria de Nitto Personè
    http://arxiv.org/abs/2001.08949v1

    • [cs.CY]Whose Tweets are Surveilled for the Police: An Audit of Social-Media Monitoring Tool via Log Files
    Glencora Borradaile, Brett Burkhardt, Alexandria LeClerc
    http://arxiv.org/abs/2001.08777v1

    • [cs.DC]Priority-based Fair Scheduling in Edge Computing
    Arkadiusz Madej, Nan Wang, Nikolaos Athanasopoulos, Rajiv Ranjan, Blesson Varghese
    http://arxiv.org/abs/2001.09070v1

    • [cs.HC]Machine learning based co-creative design framework
    Brian Quanz, Wei Sun, Ajay Deshpande, Dhruv Shah, Jae-eun Park
    http://arxiv.org/abs/2001.08791v1

    • [cs.HC]The Impact of Content Commenting on User Continuance in Online Q&A Communities: An Affordance Perspective
    Langtao Chen
    http://arxiv.org/abs/2001.08927v1

    • [cs.IR]Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation
    Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani
    http://arxiv.org/abs/2001.08961v1

    • [cs.IR]Uneven Coverage of Natural Disasters in Wikipedia: the Case of Flood
    Valerio Lorini, Javier Rando, Diego Saez-Trumper, Carlos Castillo
    http://arxiv.org/abs/2001.08810v1

    • [cs.IT]A Combinatorial View of the Service Rates of Codes Problem, its Equivalence to Fractional Matching and its Connection with Batch Codes
    Fatemeh Kazemi, Esmaeil Karimi, Emina Soljanin, Alex Sprintson
    http://arxiv.org/abs/2001.09146v1

    • [cs.IT]A Geometric View of the Service Rates of Codes Problem and its Application to the Service Rate of the First Order Reed-Muller Codes
    Fatemeh Kazemi, Sascha Kurz, Emina Soljanin
    http://arxiv.org/abs/2001.09121v1

    • [cs.IT]Bounds for the capacity error function for unidirectional channels with noiseless feedback
    Christian Deppe, Vladimir Lebedev, Georg Maringer
    http://arxiv.org/abs/2001.09030v1

    • [cs.IT]Families of Multidimensional Arrays with Good Autocorrelation and Asymptotically Optimal Cross-correlation
    Sam Blake
    http://arxiv.org/abs/2001.08894v1

    • [cs.IT]Increasing the Raw Key Rate in Energy-Time Entanglement Based Quantum Key Distribution
    Esmaeil Karimi, Emina Soljanin, Philip Whiting
    http://arxiv.org/abs/2001.09049v1

    • [cs.IT]Intelligent Reflecting Surface Assisted Secure Wireless Communications with Multiple-Transmit and Multiple-Receive Antennas
    Weiheng Jiang, Yu Zhang, Jinsong Wu, Wenjiang Feng, Yi Jin
    http://arxiv.org/abs/2001.08963v1

    • [cs.IT]Intelligent Reflecting Surface-Assisted Multiple Access with User Pairing: NOMA or OMA?
    Beixiong Zheng, Qingqing Wu, Rui Zhang
    http://arxiv.org/abs/2001.08909v1

    • [cs.IT]Limits on Gradient Compression for Stochastic Optimization
    Prathamesh Mayekar, Himanshu Tyagi
    http://arxiv.org/abs/2001.09032v1

    • [cs.IT]Maximizing the Bregman divergence from a Bregman family
    Johannes Rauh, František Matúš
    http://arxiv.org/abs/2001.08813v1

    • [cs.IT]Online Resource Procurement and Allocation in a Hybrid Edge-Cloud Computing System
    Thinh Quang Dinh, Ben Liang, Tony Q. S. Quek, Hyundong Shin
    http://arxiv.org/abs/2001.08956v1

    • [cs.IT]Weight distributions and weight hierarchies of two classes of binary linear codes
    Fei Li
    http://arxiv.org/abs/2001.08875v1

    • [cs.LG]Active Learning for Entity Alignment
    Max Berrendorf, Evgeniy Faerman, Volker Tresp
    http://arxiv.org/abs/2001.08943v1

    • [cs.LG]Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
    Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh, Hadi Esmaeilzadeh
    http://arxiv.org/abs/2001.08743v1

    • [cs.LG]Compressing Language Models using Doped Kronecker Products
    Urmish Thakker, Paul Whatamough, Matthew Mattina, Jesse Beu
    http://arxiv.org/abs/2001.08896v1

    • [cs.LG]Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks
    Se Un Park
    http://arxiv.org/abs/2001.09040v1

    • [cs.LG]Graph Constrained Reinforcement Learning for Natural Language Action Spaces
    Prithviraj Ammanabrolu, Matthew Hausknecht
    http://arxiv.org/abs/2001.08837v1

    • [cs.LG]Improving generalisation of AutoML systems with dynamic fitness evaluations
    Benjamin Patrick Evans, Bing Xue, Mengjie Zhang
    http://arxiv.org/abs/2001.08842v1

    • [cs.LG]Kernel of CycleGAN as a Principle homogeneous space
    Nikita Moriakov, Jonas Adler, Jonas Teuwen
    http://arxiv.org/abs/2001.09061v1

    • [cs.LG]Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning
    Evan Schwab, André Gooßen, Hrishikesh Deshpande, Axel Saalbach
    http://arxiv.org/abs/2001.08817v1

    • [cs.LG]MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network
    Priyabrata Saha, Arslan Ali, Burhan A. Mudassar, Yun Long, Saibal Mukhopadhyay
    http://arxiv.org/abs/2001.09001v1

    • [cs.LG]PDE-based Group Equivariant Convolutional Neural Networks
    Bart Smets, Jim Portegies, Erik Bekkers, Remco Duits
    http://arxiv.org/abs/2001.09046v1

    • [cs.LG]PairNets: Novel Fast Shallow Artificial Neural Networks on Partitioned Subspaces
    Luna M. Zhang
    http://arxiv.org/abs/2001.08886v1

    • [cs.LG]PoWER-BERT: Accelerating BERT inference for Classification Tasks
    Saurabh Goyal, Anamitra Roy Choudhary, Venkatesan Chakaravarthy, Saurabh ManishRaje, Yogish Sabharwal, Ashish Verma
    http://arxiv.org/abs/2001.08950v1

    • [cs.LG]RePAD: Real-time Proactive Anomaly Detection for Time Series
    Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
    http://arxiv.org/abs/2001.08922v1

    • [cs.LG]Reasoning About Generalization via Conditional Mutual Information
    Thomas Steinke, Lydia Zakynthinou
    http://arxiv.org/abs/2001.09122v1

    • [cs.LG]Reducing the Representation Error of GAN Image Priors Using the Deep Decoder
    Max Daniels, Paul Hand, Reinhard Heckel
    http://arxiv.org/abs/2001.08747v1

    • [cs.LG]Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification
    Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
    http://arxiv.org/abs/2001.08873v1

    • [cs.LG]Theoretically Expressive and Edge-aware Graph Learning
    Federico Errica, Davide Bacciu, Alessio Micheli
    http://arxiv.org/abs/2001.09005v1

    • [cs.LG]Towards Graph Representation Learning in Emergent Communication
    Agnieszka Słowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden
    http://arxiv.org/abs/2001.09063v1

    • [cs.LG]Universal Data Anomaly Detection via Inverse Generative Adversary Network
    Kursat Rasim Mestav, Lang Tong
    http://arxiv.org/abs/2001.08809v1

    • [cs.NE]DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform
    Karol Chęciński, Paweł Wawrzyński
    http://arxiv.org/abs/2001.08517v2

    • [cs.NE]Design optimisation of a multi-mode wave energy converter
    Nataliia Y. Sergiienko, Mehdi Neshat, Leandro S. P. da Silva, Bradley Alexander, Markus Wagner
    http://arxiv.org/abs/2001.08966v1

    • [cs.NE]On the Performance of Metaheuristics: A Different Perspective
    Hamid Reza Boveiri, Raouf Khayami
    http://arxiv.org/abs/2001.08928v1

    • [cs.NE]Runtime Performances of Randomized Search Heuristics for the Dynamic Weighted Vertex Cover Problem
    Feng Shi, Frank Neumann, Jianxin Wang
    http://arxiv.org/abs/2001.08903v1

    • [cs.NI]Synchronous Transmissions in Low-Power Wireless: A Survey of Communication Protocols and Network Services
    Marco Zimmerling, Luca Mottola, Silvia Santini
    http://arxiv.org/abs/2001.08557v2

    • [cs.NI]When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions
    Yalin E. Sagduyu, Yi Shi, Tugba Erpek, William Headley, Bryse Flowers, George Stantchev, Zhuo Lu
    http://arxiv.org/abs/2001.08883v1

    • [cs.RO]Autonomous Control of a Line Follower Robot Using a Q-Learning Controller
    Sepehr Saadatmand, Sima Azizi, Mohammadamir Kavousi, Donald Wunsch
    http://arxiv.org/abs/2001.08841v1

    • [cs.RO]Bilaterally Mirrored Movements Improve the Accuracy and Precision of Training Data for Supervised Learning of Neural or Myoelectric Prosthetic Control
    Jacob A. George, Troy N. Tully, Paul C. Colgan, Gregory A. Clark
    http://arxiv.org/abs/2001.08807v1

    • [cs.RO]Encoding Physical Constraints in Differentiable Newton-Euler Algorithm
    Giovanni Sutanto, Austin Wang, Yixin Lin, Mustafa Mukadam, Gaurav Sukhatme, Akshara Rai, Franziska Meier
    http://arxiv.org/abs/2001.08861v1

    • [cs.RO]Inexpensive and Portable System for Dexterous High-Density Myoelectric Control of Multiarticulate Prostheses
    Jacob A. George, Sridharan Radhakrishnan, Mark R. Brinton, Gregory A. Clark
    http://arxiv.org/abs/2001.08805v1

    • [cs.RO]Perception as prediction using general value functions in autonomous driving applications
    Daniel Graves, Kasra Rezaee, Sean Scheideman
    http://arxiv.org/abs/2001.09113v1

    • [cs.RO]What went wrong?: Identification of Everyday Object Manipulation Anomalies
    Dogan Altan, Sanem Sariel
    http://arxiv.org/abs/2001.09084v1

    • [cs.SE]Towards a Framework for Certification of Reliable Autonomous Systems
    Michael Fisher, Viviana Mascardi, Kristin Yvonne Rozier, Bernd-Holger Schlingloff, Michael Winikoff, Neil Yorke-Smith
    http://arxiv.org/abs/2001.09124v1

    • [cs.SI]A Dynamical Systems Perspective Reveals Coordination in Russian Twitter Operations
    Sarah Rajtmajer, Ashish Simhachalam, Thomas Zhao, Brady Bickel, Chris Griffin
    http://arxiv.org/abs/2001.08816v1

    • [cs.SI]MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks
    Jihoon Ko, Kyuhan Lee, Kijung Shin, Noseong Park
    http://arxiv.org/abs/2001.08853v1

    • [cs.SI]Relational Thematic Clustering with Mutually Preferred Neighbors
    Tiantian He, Lu Bai, Yew-Soon Ong
    http://arxiv.org/abs/2001.08412v1

    • [eess.AS]Low-rank Gradient Approximation For Memory-Efficient On-device Training of Deep Neural Network
    Mary Gooneratne, Khe Chai Sim, Petr Zadrazil, Andreas Kabel, Françoise Beaufays, Giovanni Motta
    http://arxiv.org/abs/2001.08885v1

    • [eess.AS]Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls
    Oliver S. Kirsebom, Fabio Frazao, Yvan Simard, Nathalie Roy, Stan Matwin, Samuel Giard
    http://arxiv.org/abs/2001.09127v1

    • [eess.AS]Semi-supervised ASR by End-to-end Self-training
    Yang Chen, Weiran Wang, Chao Wang
    http://arxiv.org/abs/2001.09128v1

    • [eess.IV]Polarimetric Guided Nonlocal Means Covariance Matrix Estimation for Defoliation Mapping
    Jørgen A. Agersborg, Stian Normann Anfinsen, Jane Uhd Jepsen
    http://arxiv.org/abs/2001.08976v1

    • [eess.SP]Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks
    Xiongwei Wu, Qiang Li, Xiuhua Li, Victor C. M. Leung, P. C. Ching
    http://arxiv.org/abs/2001.09093v1

    • [math.CT]Rewriting Structured Cospans
    Daniel Cicala
    http://arxiv.org/abs/2001.09029v1

    • [math.OC]Cooperative versus decentralized strategies in three-pursuer single-evader games
    Marco Casini, Andrea Garulli
    http://arxiv.org/abs/2001.09048v1

    • [math.OC]Discrete graphical models — an optimization perspective
    Bogdan Savchynskyy
    http://arxiv.org/abs/2001.09017v1

    • [math.OC]From Nesterov’s Estimate Sequence to Riemannian Acceleration
    Kwangjun Ahn, Suvrit Sra
    http://arxiv.org/abs/2001.08876v1

    • [math.PR]Arcsine laws for random walks generated from random permutations with applications to genomics
    Xiao Fang, Han Liang Gan, Susan Holmes, Haiyan Huang, Erol Peköz, Adrian Röllin, Wenpin Tang
    http://arxiv.org/abs/2001.08857v1

    • [math.ST]Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms
    T. Tony Cai, Hongji Wei
    http://arxiv.org/abs/2001.08877v1

    • [physics.soc-ph]Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis
    Roland Molontay, Marcell Nagy
    http://arxiv.org/abs/2001.09006v1

    • [q-bio.NC]Intensity Discriminability of Electrocutaneous and Intraneural Stimulation Pulse Frequency in Intact Individuals and Amputees
    Jacob A. George, Mark R. Brinton, Paul C. Colgan, Garrison K. Colvin, Sliman J. Bensmaia, Gregory A. Clark
    http://arxiv.org/abs/2001.08808v1

    • [q-bio.PE]TADPOLE Challenge: Accurate Alzheimer’s disease prediction through crowdsourced forecasting of future data
    Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Polina Golland, Stefan Klein, Daniel C. Alexander
    http://arxiv.org/abs/2001.09016v1

    • [stat.AP]Forecasting football matches by predicting match statistics
    Edward Wheatcroft
    http://arxiv.org/abs/2001.09097v1

    • [stat.AP]The impact of overbooking on a pre-trial risk assessment tool
    Kristian Lum, Chesa Boudin, Megan Price
    http://arxiv.org/abs/2001.08793v1

    • [stat.ME]Confounder selection strategies targeting stable treatment effect estimators
    Wen Wei Loh, Stijn Vansteelandt
    http://arxiv.org/abs/2001.08971v1

    • [stat.ME]Maximum Likelihood Estimation of Spatially Varying Coefficient Models for Large Data with an Application to Real Estate Price Prediction
    Jakob A. Dambon, Fabio Sigrist, Reinhard Furrer
    http://arxiv.org/abs/2001.08089v3

    • [stat.ME]Optimal Design for Probit Choice Models with Dependent Utilities
    Ulrike Graßhoff, Heiko Großmann, Heinz Holling, Rainer Schwabe
    http://arxiv.org/abs/2001.09036v1

    • [stat.ML]Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis
    Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
    http://arxiv.org/abs/2001.08975v1