cond-mat.mes-hall - 尺度和物理纳米 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.FL - 形式语言与自动机理论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 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 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 quant-ph - 量子物理 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.mes-hall]Machine learning enables completely automatic tuning of a quantum device faster than human experts
    • [cs.AI]A Rule-Based Model for Victim Prediction
    • [cs.AI]D3BA: A Tool for Optimizing Business Processes Using Non-Deterministic Planning
    • [cs.AI]From Natural Language Instructions to Complex Processes: Issues in Chaining Trigger Action Rules
    • [cs.AI]High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET
    • [cs.AI]Understanding the QuickXPlain Algorithm: Simple Explanation and Formal Proof
    • [cs.CL]A Neural Approach to Discourse Relation Signal Detection
    • [cs.CL]Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
    • [cs.CL]LTP: A New Active Learning Strategy for Bert-CRF Based Named Entity Recognition
    • [cs.CL]Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
    • [cs.CL]Multipurpose Intelligent Process Automation via Conversational Assistant
    • [cs.CL]REST: A thread embedding approach for identifying and classifying user-specified information in security forums
    • [cs.CR]$μ$VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection
    • [cs.CR]Local Information Privacy and Its Application to Privacy-Preserving Data Aggregation
    • [cs.CR]Techniques d’anonymisation tabulaire : concepts et mise en oeuvre
    • [cs.CV]An Analysis of Object Representations in Deep Visual Trackers
    • [cs.CV]Bridging Knowledge Graphs to Generate Scene Graphs
    • [cs.CV]CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
    • [cs.CV]Deep Learning for Free-Hand Sketch: A Survey
    • [cs.CV]Disentangling Representations using Gaussian Processes in Variational Autoencoders for Video Prediction
    • [cs.CV]Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints
    • [cs.CV]Don’t Forget The Past: Recurrent Depth Estimation from Monocular Video
    • [cs.CV]Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
    • [cs.CV]Multimodal Semantic Transfer from Text to Image. Fine-Grained Image Classification by Distributional Semantics
    • [cs.CV]Perception and Decision-Making of Autonomous Systems in the Era of Learning: An Overview
    • [cs.CV]Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks
    • [cs.CV]Training Progressively Binarizing Deep Networks Using FPGAs
    • [cs.CV]VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving
    • [cs.CV]Weakly Supervised Visual Semantic Parsing
    • [cs.DB]The LDBC Social Network Benchmark
    • [cs.DC]A Multi-Objective Approach for Multi-Cloud Infrastructure Brokering in Dynamic Markets
    • [cs.DC]AN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs
    • [cs.DC]From Trend Analysis to New Virtual World System Design Requirements and Requirement Satisfaction Study
    • [cs.DC]HyGCN: A GCN Accelerator with Hybrid Architecture
    • [cs.DC]HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline
    • [cs.DC]Synchronous Byzantine Lattice Agreement in ${\cal O}(\log (f))$ Rounds
    • [cs.FL]VC-dimensions of nondeterministic finite automata for words of equal length
    • [cs.HC]Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence
    • [cs.HC]Emo-CNN for Perceiving Stress from Audio Signals: A Brain Chemistry Approach
    • [cs.HC]LiftTiles: Constructive Building Blocks for Prototyping Room-scale Shape-changing Interfaces
    • [cs.HC]Questioning the AI: Informing Design Practices for Explainable AI User Experiences
    • [cs.HC]Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples
    • [cs.IR]A Correspondence Analysis Framework for Author-Conference Recommendations
    • [cs.IR]Citation Recommendations Considering Content and Structural Context Embedding
    • [cs.IT]Adaptive Coding for Two-Way Lossy Source-Channel Communication
    • [cs.IT]Address-Event Variable-Length Compression for Time-Encoded Data
    • [cs.IT]Comments on “Physical-layer cryptography through massive MIMO”
    • [cs.IT]Joint Optimization of File Placement and Delivery in Cache-Assisted Wireless Networks with Limited Lifetime and Cache Space
    • [cs.IT]Managing Device Lifecycle: Reconfigurable Constrained Codes for M/T/Q/P-LC Flash Memories
    • [cs.IT]Minimizing the Age of Information of Cognitive Radio-Based IoT Systems Under A Collision Constraint
    • [cs.IT]OTFS: Interleaved OFDM with Block CP
    • [cs.IT]Quadratically Constrained Two-way Adversarial Channels
    • [cs.IT]Spatial Throughput Characterization for Intelligent Reflecting Surface Aided Multiuser System
    • [cs.IT]The importance of phase in complex compressive sensing
    • [cs.IT]Unsupervised Learning for Passive Beamforming
    • [cs.LG]A Group Norm Regularized LRR Factorization Model for Spectral Clustering
    • [cs.LG]A Nonparametric Offpolicy Policy Gradient
    • [cs.LG]An improved online learning algorithm for general fuzzy min-max neural network
    • [cs.LG]Convolutional Networks with Dense Connectivity
    • [cs.LG]EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning
    • [cs.LG]Gradient Boosting on Decision Trees for Mortality Prediction in Transcatheter Aortic Valve Implantation
    • [cs.LG]Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes
    • [cs.LG]MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
    • [cs.LG]On Interpretability of Artificial Neural Networks
    • [cs.LG]On Thompson Sampling for Smoother-than-Lipschitz Bandits
    • [cs.LG]PaRoT: A Practical Framework for Robust Deep Neural Network Training
    • [cs.LG]SGD with Hardness Weighted Sampling for Distributionally Robust Deep Learning
    • [cs.LG]SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
    • [cs.LG]Sample-based Distributional Policy Gradient
    • [cs.LG]Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well
    • [cs.LG]The Past and Present of Imitation Learning: A Citation Chain Study
    • [cs.LG]To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers
    • [cs.LG]Visual-Semantic Graph Attention Network for Human-Object Interaction Detection
    • [cs.LG]iDLG: Improved Deep Leakage from Gradients
    • [cs.RO]Aggressive Perception-Aware Navigation using Deep Optical Flow Dynamics and PixelMPC
    • [cs.RO]Learning to Move with Affordance Maps
    • [cs.RO]Real-time Grasp Pose Estimation for Novel Objects in Densely Cluttered Environment
    • [cs.RO]RoboFly: An insect-sized robot with simplified fabrication that is capable of flight, ground, and water surface locomotion
    • [cs.RO]What can robotics research learn from computer vision research?
    • [cs.SD]Automatic Melody Harmonization with Triad Chords: A Comparative Study
    • [cs.SD]Streaming automatic speech recognition with the transformer model
    • [cs.SE]Learning to Encode and Classify Test Executions
    • [cs.SI]A Soft Recommender System for Social Networks
    • [cs.SI]Efficient network navigation with partial information
    • [cs.SI]Peer-to-Peer based Social Networks: A Comprehensive Survey
    • [eess.IV]A context based deep learning approach for unbalanced medical image segmentation
    • [eess.IV]Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
    • [eess.IV]DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction
    • [eess.IV]Deep OCT Angiography Image Generation for Motion Artifact Suppression
    • [eess.IV]Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation
    • [eess.IV]Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning
    • [eess.SP]Hypergraph Spectral Analysis and Processing in 3D Point Cloud
    • [eess.SP]Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles
    • [eess.SP]On Recoverability of Randomly Compressed Tensors with Low CP Rank
    • [eess.SP]Semi-Sequential Probabilistic Model For Indoor Localization Enhancement
    • [eess.SY]Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware
    • [math.OC]Backtracking Gradient Descent allowing unbounded learning rates
    • [math.OC]Infinite-Horizon Differentiable Model Predictive Control
    • [math.OC]Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning
    • [math.ST]Asymptotically optimal test for dependent multiple testing set up
    • [math.ST]Spectral estimation for non-linear long range dependent discrete time trawl processes
    • [math.ST]Stochastic Local Interaction Model: Geostatistics without Kriging
    • [quant-ph]Coherent Quantum Channel Discrimination
    • [quant-ph]Quantum subspace alignment for domain adaptation
    • [quant-ph]Thermodynamically-Efficient Local Computation: Classical and quantum information reservoirs and generators
    • [stat.ME]Conditional density estimation with covariate measurement error
    • [stat.ME]Differentially Private Confidence Intervals
    • [stat.ME]Estimating Tukey Depth Using Incremental Quantile Estimators
    • [stat.ME]Functional linear models for interval-valued data
    • [stat.ME]On a Generalization of the Average Distance Classifier
    • [stat.ME]Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering and Smoothing
    • [stat.ME]Tests for detecting risk equivalent portfolios
    • [stat.ME]Vector Autoregressive Models with Spatially Structured Coefficients for Time Series on a Spatial Grid
    • [stat.ML]Contextual Constrained Learning for Dose-Finding Clinical Trials
    • [stat.ML]Stochastic probabilistic programs

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

    • [cond-mat.mes-hall]Machine learning enables completely automatic tuning of a quantum device faster than human experts
    H. Moon, D. T. Lennon, J. Kirkpatrick, N. M. van Esbroeck, L. C. Camenzind, Liuqi Yu, F. Vigneau, D. M. Zumbühl, G. A. D. Briggs, M. A Osborne, D. Sejdinovic, E. A. Laird, N. Ares
    http://arxiv.org/abs/2001.02589v1

    • [cs.AI]A Rule-Based Model for Victim Prediction
    Murat Ozer, Nelly Elsayed, Said Varlioglu, Chengcheng Li
    http://arxiv.org/abs/2001.01391v2

    • [cs.AI]D3BA: A Tool for Optimizing Business Processes Using Non-Deterministic Planning
    Tathagata Chakraborti, Yasaman Khazaeni
    http://arxiv.org/abs/2001.02619v1

    • [cs.AI]From Natural Language Instructions to Complex Processes: Issues in Chaining Trigger Action Rules
    Nobuhiro Ito, Yuya Suzuki, Akiko Aizawa
    http://arxiv.org/abs/2001.02462v1

    • [cs.AI]High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET
    Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu
    http://arxiv.org/abs/2001.02330v1

    • [cs.AI]Understanding the QuickXPlain Algorithm: Simple Explanation and Formal Proof
    Patrick Rodler
    http://arxiv.org/abs/2001.01835v2

    • [cs.CL]A Neural Approach to Discourse Relation Signal Detection
    Amir Zeldes, Yang Liu
    http://arxiv.org/abs/2001.02380v1

    • [cs.CL]Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
    Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang
    http://arxiv.org/abs/2001.02332v1

    • [cs.CL]LTP: A New Active Learning Strategy for Bert-CRF Based Named Entity Recognition
    Mingyi Liu, Zhiying Tu, Zhongjie Wang, Xiaofei Xu
    http://arxiv.org/abs/2001.02524v1

    • [cs.CL]Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
    Zhen Wu, Fei Zhao, Xin-Yu Dai, Shujian Huang, Jiajun Chen
    http://arxiv.org/abs/2001.01989v1

    • [cs.CL]Multipurpose Intelligent Process Automation via Conversational Assistant
    Alena Moiseeva, Dietrich Trautmann, Hinrich Schütze
    http://arxiv.org/abs/2001.02284v1

    • [cs.CL]REST: A thread embedding approach for identifying and classifying user-specified information in security forums
    Joobin Gharibshah, Evangelos E. Papalexakis, Michalis Faloutsos
    http://arxiv.org/abs/2001.02660v1

    • [cs.CR]$μ$VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection
    Deqing Zou, Sujuan Wang, Shouhuai Xu, Zhen Li, Hai Jin
    http://arxiv.org/abs/2001.02334v1

    • [cs.CR]Local Information Privacy and Its Application to Privacy-Preserving Data Aggregation
    Bo Jiang, Ming Li, Ravi Tandon
    http://arxiv.org/abs/2001.02385v1

    • [cs.CR]Techniques d’anonymisation tabulaire : concepts et mise en oeuvre
    Benjamin Nguyen, Claude Castelluccia
    http://arxiv.org/abs/2001.02650v1

    • [cs.CV]An Analysis of Object Representations in Deep Visual Trackers
    Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi
    http://arxiv.org/abs/2001.02593v1

    • [cs.CV]Bridging Knowledge Graphs to Generate Scene Graphs
    Alireza Zareian, Svebor Karaman, Shih-Fu Chang
    http://arxiv.org/abs/2001.02314v1

    • [cs.CV]CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
    Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn
    http://arxiv.org/abs/2001.02643v1

    • [cs.CV]Deep Learning for Free-Hand Sketch: A Survey
    Peng Xu
    http://arxiv.org/abs/2001.02600v1

    • [cs.CV]Disentangling Representations using Gaussian Processes in Variational Autoencoders for Video Prediction
    Sarthak Bhagat, Shagun Uppal, Vivian Yin, Nengli Lim
    http://arxiv.org/abs/2001.02408v1

    • [cs.CV]Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints
    Thiago L. Gomes, Renato Martins, João Ferreira, Erickson R. Nascimento
    http://arxiv.org/abs/2001.02606v1

    • [cs.CV]Don’t Forget The Past: Recurrent Depth Estimation from Monocular Video
    Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool
    http://arxiv.org/abs/2001.02613v1

    • [cs.CV]Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
    Jiemin Fang, Yuzhu Sun, Kangjian Peng, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang
    http://arxiv.org/abs/2001.02525v1

    • [cs.CV]Multimodal Semantic Transfer from Text to Image. Fine-Grained Image Classification by Distributional Semantics
    Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, Siegfried Handschuh
    http://arxiv.org/abs/2001.02372v1

    • [cs.CV]Perception and Decision-Making of Autonomous Systems in the Era of Learning: An Overview
    Yang Tang, Chaoqiang Zhao, Jianrui Wang, Chongzhen Zhang, Qiyu Sun, Feng Qian
    http://arxiv.org/abs/2001.02319v1

    • [cs.CV]Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks
    Saqib Ali Khan, Syed Muhammad Daniyal Khalid, Muhammad Ali Shahzad, Faisal Shafait
    http://arxiv.org/abs/2001.02501v1

    • [cs.CV]Training Progressively Binarizing Deep Networks Using FPGAs
    Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
    http://arxiv.org/abs/2001.02390v1

    • [cs.CV]VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving
    Yanliang Zhu, Deheng Qian, Dongchun Ren, Huaxia Xia
    http://arxiv.org/abs/2001.02354v1

    • [cs.CV]Weakly Supervised Visual Semantic Parsing
    Alireza Zareian, Svebor Karaman, Shih-Fu Chang
    http://arxiv.org/abs/2001.02359v1

    • [cs.DB]The LDBC Social Network Benchmark
    Renzo Angles, János Benjamin Antal, Alex Averbuch, Peter Boncz, Orri Erling, Andrey Gubichev, Vlad Haprian, Moritz Kaufmann, Josep Lluís Larriba Pey, Norbert Martínez, József Marton, Marcus Paradies, Minh-Duc Pham, Arnau Prat-Pérez, Mirko Spasić, Benjamin A. Steer, Gábor Szárnyas, Jack Waudby
    http://arxiv.org/abs/2001.02299v1

    • [cs.DC]A Multi-Objective Approach for Multi-Cloud Infrastructure Brokering in Dynamic Markets
    Fabio Lopez-Pires, Lino Chamorro, Benjamin Baran
    http://arxiv.org/abs/2001.02561v1

    • [cs.DC]AN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs
    Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib, Toshio Endo, Satoshi Matsuoka
    http://arxiv.org/abs/2001.01473v3

    • [cs.DC]From Trend Analysis to New Virtual World System Design Requirements and Requirement Satisfaction Study
    Bingqing Shen, Weiming Tan, Jingzhi Guo, Bin Wang
    http://arxiv.org/abs/2001.02433v1

    • [cs.DC]HyGCN: A GCN Accelerator with Hybrid Architecture
    Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
    http://arxiv.org/abs/2001.02514v1

    • [cs.DC]HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline
    Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph Gonzalez, Ion Stoica, Alexey Tumanov
    http://arxiv.org/abs/2001.02338v1

    • [cs.DC]Synchronous Byzantine Lattice Agreement in ${\cal O}(\log (f))$ Rounds
    Giuseppe Antonio Di Luna, Emmanuelle Anceaume, Silvia Bonomi, Leonardo Querzoni
    http://arxiv.org/abs/2001.02670v1

    • [cs.FL]VC-dimensions of nondeterministic finite automata for words of equal length
    Bjørn Kjos-Hanssen, Clyde James Felix, Sun Young Kim, Ethan Lamb, Davin Takahashi
    http://arxiv.org/abs/2001.02309v1

    • [cs.HC]Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence
    Midas Nouwens, Ilaria Liccardi, Michael Veale, David Karger, Lalana Kagal
    http://arxiv.org/abs/2001.02479v1

    • [cs.HC]Emo-CNN for Perceiving Stress from Audio Signals: A Brain Chemistry Approach
    Anup Anand Deshmukh, Catherine Soladie, Renaud Seguier
    http://arxiv.org/abs/2001.02329v1

    • [cs.HC]LiftTiles: Constructive Building Blocks for Prototyping Room-scale Shape-changing Interfaces
    Ryo Suzuki, Ryosuke Nakayama, Dan Liu, Yasuaki Kakehi, Mark D. Gross, Daniel Leithinger
    http://arxiv.org/abs/2001.02382v1

    • [cs.HC]Questioning the AI: Informing Design Practices for Explainable AI User Experiences
    Q. Vera Liao, Daniel Gruen, Sarah Miller
    http://arxiv.org/abs/2001.02478v1

    • [cs.HC]Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples
    Chelsea M. Myers, Evan Freed, Luis Fernando Laris Pardo, Anushay Furqan, Sebastian Risi, Jichen Zhu
    http://arxiv.org/abs/2001.02271v1

    • [cs.IR]A Correspondence Analysis Framework for Author-Conference Recommendations
    Rahul Radhakrishnan Iyer, Manish Sharma, Vijaya Saradhi
    http://arxiv.org/abs/2001.02669v1

    • [cs.IR]Citation Recommendations Considering Content and Structural Context Embedding
    Yang Zhang, Qiang Ma
    http://arxiv.org/abs/2001.02344v1

    • [cs.IT]Adaptive Coding for Two-Way Lossy Source-Channel Communication
    Jian-Jian Weng, Fady Alajaji, Tamás Linder
    http://arxiv.org/abs/2001.02612v1

    • [cs.IT]Address-Event Variable-Length Compression for Time-Encoded Data
    Sharu Theresa Jose, Osvaldo Simeone
    http://arxiv.org/abs/2001.02527v1

    • [cs.IT]Comments on “Physical-layer cryptography through massive MIMO”
    Amin Sakzad, Ron Steinfeld
    http://arxiv.org/abs/2001.02632v1

    • [cs.IT]Joint Optimization of File Placement and Delivery in Cache-Assisted Wireless Networks with Limited Lifetime and Cache Space
    Bojie Lv, Rui Wang, Ying Cui, Yi Gong, Haisheng Tan
    http://arxiv.org/abs/2001.02557v1

    • [cs.IT]Managing Device Lifecycle: Reconfigurable Constrained Codes for M/T/Q/P-LC Flash Memories
    Ahmed Hareedy, Beyza Dabak, Robert Calderbank
    http://arxiv.org/abs/2001.02325v1

    • [cs.IT]Minimizing the Age of Information of Cognitive Radio-Based IoT Systems Under A Collision Constraint
    Qian Wang, He Chen, Yifan Gu, Yonghui Li, Branka Vucetic
    http://arxiv.org/abs/2001.02482v1

    • [cs.IT]OTFS: Interleaved OFDM with Block CP
    Vivek Rangamgari, Shashank Tiwari, Suvra Sekhar Das, Subhas Chandra Mondal
    http://arxiv.org/abs/2001.02446v1

    • [cs.IT]Quadratically Constrained Two-way Adversarial Channels
    Yihan Zhang, Shashank Vatedka, Sidharth Jaggi
    http://arxiv.org/abs/2001.02575v1

    • [cs.IT]Spatial Throughput Characterization for Intelligent Reflecting Surface Aided Multiuser System
    Jiangbin Lyu, Rui Zhang
    http://arxiv.org/abs/2001.02447v1

    • [cs.IT]The importance of phase in complex compressive sensing
    Laurent Jacques, Thomas Feuillen
    http://arxiv.org/abs/2001.02529v1

    • [cs.IT]Unsupervised Learning for Passive Beamforming
    Jiabao Gao, Caijun Zhong, Xiaoming Chen, Hai Lin, Zhaoyang Zhang
    http://arxiv.org/abs/2001.02348v1

    • [cs.LG]A Group Norm Regularized LRR Factorization Model for Spectral Clustering
    Xishun Wang, Zhouwang Yang, Xingye Yue, Hui Wang
    http://arxiv.org/abs/2001.02568v1

    • [cs.LG]A Nonparametric Offpolicy Policy Gradient
    Samuele Tosatto, Joao Carvalho, Hany Abdulsamad, Jan Peters
    http://arxiv.org/abs/2001.02435v1

    • [cs.LG]An improved online learning algorithm for general fuzzy min-max neural network
    Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
    http://arxiv.org/abs/2001.02391v1

    • [cs.LG]Convolutional Networks with Dense Connectivity
    Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger
    http://arxiv.org/abs/2001.02394v1

    • [cs.LG]EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning
    Yurui Ming, Dongrui Wu, Yu-Kai Wang, Yuhui Shi, Chin-Teng Lin
    http://arxiv.org/abs/2001.02399v1

    • [cs.LG]Gradient Boosting on Decision Trees for Mortality Prediction in Transcatheter Aortic Valve Implantation
    Marco Mamprin, Jo M. Zelis, Pim A. L. Tonino, Svitlana Zinger, Peter H. N. de With
    http://arxiv.org/abs/2001.02431v1

    • [cs.LG]Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes
    Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Jem Rashbass, Mihaela van der Schaar
    http://arxiv.org/abs/2001.02585v1

    • [cs.LG]MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
    Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
    http://arxiv.org/abs/2001.02378v1

    • [cs.LG]On Interpretability of Artificial Neural Networks
    Fenglei Fan, Jinjun Xiong, Ge Wang
    http://arxiv.org/abs/2001.02522v1

    • [cs.LG]On Thompson Sampling for Smoother-than-Lipschitz Bandits
    James A. Grant, David S. Leslie
    http://arxiv.org/abs/2001.02323v1

    • [cs.LG]PaRoT: A Practical Framework for Robust Deep Neural Network Training
    Edward Ayers, Francisco Eiras, Majd Hawasly, Iain Whiteside
    http://arxiv.org/abs/2001.02152v2

    • [cs.LG]SGD with Hardness Weighted Sampling for Distributionally Robust Deep Learning
    Lucas Fidon, Sebastien Ourselin, Tom Vercauteren
    http://arxiv.org/abs/2001.02658v1

    • [cs.LG]SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
    Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn
    http://arxiv.org/abs/2001.02407v1

    • [cs.LG]Sample-based Distributional Policy Gradient
    Rahul Singh, Keuntaek Lee, Yongxin Chen
    http://arxiv.org/abs/2001.02652v1

    • [cs.LG]Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well
    Vipul Gupta, Santiago Akle Serrano, Dennis DeCoste
    http://arxiv.org/abs/2001.02312v1

    • [cs.LG]The Past and Present of Imitation Learning: A Citation Chain Study
    Nishanth Kumar
    http://arxiv.org/abs/2001.02328v1

    • [cs.LG]To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers
    Bijeeta Pal, Shruti Tople
    http://arxiv.org/abs/2001.02438v1

    • [cs.LG]Visual-Semantic Graph Attention Network for Human-Object Interaction Detection
    Zhijun Liang, Yisheng Guan, Juan Rojas
    http://arxiv.org/abs/2001.02302v1

    • [cs.LG]iDLG: Improved Deep Leakage from Gradients
    Bo Zhao, Konda Reddy Mopuri, Hakan Bilen
    http://arxiv.org/abs/2001.02610v1

    • [cs.RO]Aggressive Perception-Aware Navigation using Deep Optical Flow Dynamics and PixelMPC
    Keuntaek Lee, Jason Gibson, Evangelos A. Theodorou
    http://arxiv.org/abs/2001.02307v1

    • [cs.RO]Learning to Move with Affordance Maps
    William Qi, Ravi Teja Mullapudi, Saurabh Gupta, Deva Ramanan
    http://arxiv.org/abs/2001.02364v1

    • [cs.RO]Real-time Grasp Pose Estimation for Novel Objects in Densely Cluttered Environment
    Mohit Vohra, Ravi Prakash, Laxmidhar Behera
    http://arxiv.org/abs/2001.02076v1

    • [cs.RO]RoboFly: An insect-sized robot with simplified fabrication that is capable of flight, ground, and water surface locomotion
    Yogesh M Chukewad, Johannes James, Avinash Singh, Sawyer Fuller
    http://arxiv.org/abs/2001.02320v1

    • [cs.RO]What can robotics research learn from computer vision research?
    Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf
    http://arxiv.org/abs/2001.02366v1

    • [cs.SD]Automatic Melody Harmonization with Triad Chords: A Comparative Study
    Yin-Cheng Yeh, Wen-Yi Hsiao, Satoru Fukayama, Tetsuro Kitahara, Benjamin Genchel, Hao-Min Liu, Hao-Wen Dong, Yian Chen, Terence Leong, Yi-Hsuan Yang
    http://arxiv.org/abs/2001.02360v1

    • [cs.SD]Streaming automatic speech recognition with the transformer model
    Niko Moritz, Takaaki Hori, Jonathan Le Roux
    http://arxiv.org/abs/2001.02674v1

    • [cs.SE]Learning to Encode and Classify Test Executions
    Foivos Tsimpourlas, Ajitha Rajan, Miltiadis Allamanis
    http://arxiv.org/abs/2001.02444v1

    • [cs.SI]A Soft Recommender System for Social Networks
    Marzieh Pourhojjati-Sabet, Azam Rabiee
    http://arxiv.org/abs/2001.02520v1

    • [cs.SI]Efficient network navigation with partial information
    Xiaoran Yan, Olaf Sporns, Andrea Avena-Koenigsberger
    http://arxiv.org/abs/2001.02274v1

    • [cs.SI]Peer-to-Peer based Social Networks: A Comprehensive Survey
    Newton Masinde, Kalman Graffi
    http://arxiv.org/abs/2001.02611v1

    • [eess.IV]A context based deep learning approach for unbalanced medical image segmentation
    Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam
    http://arxiv.org/abs/2001.02387v1

    • [eess.IV]Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
    Florian Knoll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Zbontar, Michael Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick, Michael P. Recht
    http://arxiv.org/abs/2001.02518v1

    • [eess.IV]DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction
    Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam
    http://arxiv.org/abs/2001.02397v1

    • [eess.IV]Deep OCT Angiography Image Generation for Motion Artifact Suppression
    Julian Hossbach, Lennart Husvogt, Martin F. Kraus, James G. Fujimoto, Andreas K. Maier
    http://arxiv.org/abs/2001.02512v1

    • [eess.IV]Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation
    Dong Gong, Wei Sun, Qinfeng Shi, Anton van den Hengel, Yanning Zhang
    http://arxiv.org/abs/2001.02381v1

    • [eess.IV]Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning
    Yixing Huang, Shengxiang Wang, Yong Guan, Andreas Maier
    http://arxiv.org/abs/2001.02469v1

    • [eess.SP]Hypergraph Spectral Analysis and Processing in 3D Point Cloud
    Songyang Zhang, Shuguang Cui, Zhi Ding
    http://arxiv.org/abs/2001.02384v1

    • [eess.SP]Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles
    Dohyun Kwon, Joongheon Kim
    http://arxiv.org/abs/2001.02337v1

    • [eess.SP]On Recoverability of Randomly Compressed Tensors with Low CP Rank
    Shahana Ibrahim, Xiao Fu, Xingguo Li
    http://arxiv.org/abs/2001.02370v1

    • [eess.SP]Semi-Sequential Probabilistic Model For Indoor Localization Enhancement
    Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy
    http://arxiv.org/abs/2001.02400v1

    • [eess.SY]Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware
    Kirill Polzounov, Ramitha Sundar, Lee Redden
    http://arxiv.org/abs/2001.02254v1

    • [math.OC]Backtracking Gradient Descent allowing unbounded learning rates
    Tuyen Trung Truong
    http://arxiv.org/abs/2001.02005v2

    • [math.OC]Infinite-Horizon Differentiable Model Predictive Control
    Sebastian East, Marco Gallieri, Jonathan Masci, Jan Koutnik, Mark Cannon
    http://arxiv.org/abs/2001.02244v1

    • [math.OC]Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning
    Wenqing Li, Chuhan Yang, Saif Eddin Jabari
    http://arxiv.org/abs/2001.02492v1

    • [math.ST]Asymptotically optimal test for dependent multiple testing set up
    Rahul Roy, Subir Kumar Bhandari
    http://arxiv.org/abs/2001.02229v1

    • [math.ST]Spectral estimation for non-linear long range dependent discrete time trawl processes
    Paul Doukhan, François Roueff, Joseph Rynkiewicz
    http://arxiv.org/abs/2001.02579v1

    • [math.ST]Stochastic Local Interaction Model: Geostatistics without Kriging
    Dionissios T. Hristopulos, Andreas Pavlides, Vasiliki D. Agou, Panagiota Gkafa
    http://arxiv.org/abs/2001.02246v1

    • [quant-ph]Coherent Quantum Channel Discrimination
    Mark M. Wilde
    http://arxiv.org/abs/2001.02668v1

    • [quant-ph]Quantum subspace alignment for domain adaptation
    Xi He, Xiaoting Wang
    http://arxiv.org/abs/2001.02472v1

    • [quant-ph]Thermodynamically-Efficient Local Computation: Classical and quantum information reservoirs and generators
    Samuel P. Loomis, James P. Crutchfield
    http://arxiv.org/abs/2001.02258v1

    • [stat.ME]Conditional density estimation with covariate measurement error
    Xianzheng Huang, Haiming Zhou
    http://arxiv.org/abs/2001.02673v1

    • [stat.ME]Differentially Private Confidence Intervals
    Wenxin Du, Canyon Foot, Monica Moniot, Andrew Bray, Adam Groce
    http://arxiv.org/abs/2001.02285v1

    • [stat.ME]Estimating Tukey Depth Using Incremental Quantile Estimators
    Hugo Lewi Hammer, Anis Yazidi, Håvard Rue
    http://arxiv.org/abs/2001.02393v1

    • [stat.ME]Functional linear models for interval-valued data
    Ufuk Beyaztas, Han Lin Shang, Abdel-Salam G. Abdel-Salam
    http://arxiv.org/abs/2001.02342v1

    • [stat.ME]On a Generalization of the Average Distance Classifier
    Sarbojit Roy, Soham Sarkar, Subhajit Dutta
    http://arxiv.org/abs/2001.02430v1

    • [stat.ME]Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering and Smoothing
    Zheng Zhao, Toni Karvonen, Roland Hostettler, Simo Särkkä
    http://arxiv.org/abs/2001.02466v1

    • [stat.ME]Tests for detecting risk equivalent portfolios
    Marc Ditzhaus, Daniel Gaigall
    http://arxiv.org/abs/2001.02488v1

    • [stat.ME]Vector Autoregressive Models with Spatially Structured Coefficients for Time Series on a Spatial Grid
    Yuan Yan, Hsin-Cheng Huang, Marc G. Genton
    http://arxiv.org/abs/2001.02250v1

    • [stat.ML]Contextual Constrained Learning for Dose-Finding Clinical Trials
    Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar
    http://arxiv.org/abs/2001.02463v1

    • [stat.ML]Stochastic probabilistic programs
    David Tolpin, Tomer Dobkin
    http://arxiv.org/abs/2001.02656v1