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.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.PF - 计算性能 cs.RO - 机器人学 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 math.AP - 偏微分方程分析 math.DS - 动力系统 math.HO - 历史与概述 math.ST - 统计理论 physics.geo-ph - 地球物理学 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 q-fin.RM - 风险管理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
    • [cs.AI]Probability Calibration for Knowledge Graph Embedding Models
    • [cs.AI]The Blockchain Game: Synthesis of Byzantine Systems and Nash Equilibria
    • [cs.CL]A Hierarchical Model for Data-to-Text Generation
    • [cs.CL]BERTje: A Dutch BERT Model
    • [cs.CL]Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural Networks
    • [cs.CL]Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model
    • [cs.CL]RIMAX: Ranking Semantic Rhymes by calculating Definition Similarity
    • [cs.CL]SberQuAD — Russian Reading Comprehension Dataset: Description and Analysis
    • [cs.CL]When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation
    • [cs.CV]AdaBits: Neural Network Quantization with Adaptive Bit-Widths
    • [cs.CV]Adversarial Representation Active Learning
    • [cs.CV]Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification
    • [cs.CV]AtomNAS: Fine-Grained End-to-End Neural Architecture Search
    • [cs.CV]AutoScale: Learning to Scale for Crowd Counting
    • [cs.CV]Bridging adversarial samples and adversarial networks
    • [cs.CV]C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
    • [cs.CV]Controllable Face Aging
    • [cs.CV]Deep Exemplar Networks for VQA and VQG
    • [cs.CV]DeepSFM: Structure From Motion Via Deep Bundle Adjustment
    • [cs.CV]Divide and Conquer: an Accurate Machine Learning Algorithm to Process Split Videos on a Parallel Processing Infrastructure
    • [cs.CV]Exploring the Capacity of Sequential-free Box Discretization Network for Omnidirectional Scene Text Detection
    • [cs.CV]High Resolution Millimeter Wave Imaging For Self-Driving Cars
    • [cs.CV]ICDAR 2019 Robust Reading Challenge on Reading Chinese Text on Signboard
    • [cs.CV]IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation
    • [cs.CV]Identity Document to Selfie Face Matching Across Adolescence
    • [cs.CV]JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
    • [cs.CV]MFPN: A Novel Mixture Feature Pyramid Network of Multiple Architectures for Object Detection
    • [cs.CV]P$^2$GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation
    • [cs.CV]Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation
    • [cs.CV]Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks
    • [cs.CV]Spatial and Temporal Consistency-Aware Dynamic Adaptive Streaming for 360-Degree Videos
    • [cs.CV]TreyNet: A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages
    • [cs.CV]Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition
    • [cs.DC]Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing
    • [cs.DC]Hurry-up: Scaling Web Search on Big/Little Multi-core Architectures
    • [cs.DC]ODIN: Tamper-Resistant Round Trip Time Measurement for Distributed Systems
    • [cs.DC]Online Analysis of Distributed Dataflows with Timely Dataflow
    • [cs.DC]Randomized Reactive Redundancy for Byzantine Fault-Tolerance in Parallelized Learning
    • [cs.GT]Quantal Response Equilibria in Binary Choice Games on Graphs
    • [cs.HC]Smart Home Appliances: Chat with Your Fridge
    • [cs.IR]A Framework for Explainable Text Classification in Legal Document Review
    • [cs.IR]Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review
    • [cs.IR]Report on the First HIPstIR Workshop on the Future of Information Retrieval
    • [cs.IT]A new construction of nonlinear codes via rational function fields
    • [cs.IT]Fundamental Limits of Device-to-Device Private Caching with Trusted Server
    • [cs.IT]Large Deviations Behavior of the Logarithmic Error Probability of Random Codes
    • [cs.IT]New Construction of Optimal Interference-Free ZCZ Sequence Sets by Zak Transform
    • [cs.IT]Subpacketization-Beamformer Interaction in Multi-Antenna Coded Caching
    • [cs.LG]A Fair Comparison of Graph Neural Networks for Graph Classification
    • [cs.LG]A Survey on Distributed Machine Learning
    • [cs.LG]Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks
    • [cs.LG]Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing
    • [cs.LG]Data Science through the looking glass and what we found there
    • [cs.LG]Dependable Neural Networks for Safety Critical Tasks
    • [cs.LG]Distributed Fixed Point Methods with Compressed Iterates
    • [cs.LG]Distributed Online Optimization with Long-Term Constraints
    • [cs.LG]Explainability and Adversarial Robustness for RNNs
    • [cs.LG]Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data
    • [cs.LG]Features or Shape? Tackling the False Dichotomy of Time Series Classification
    • [cs.LG]Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems
    • [cs.LG]Graph Convolutional Networks: analysis, improvements and results
    • [cs.LG]Group-Connected Multilayer Perceptron Networks
    • [cs.LG]Lightweight and Unobtrusive Privacy Preservation for Remote Inference via Edge Data Obfuscation
    • [cs.LG]Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
    • [cs.LG]Meta-Graph: Few shot Link Prediction via Meta Learning
    • [cs.LG]Practical Solutions for Machine Learning Safety in Autonomous Vehicles
    • [cs.LG]Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises
    • [cs.LG]Robust Data Preprocessing for Machine-Learning-Based Disk Failure Prediction in Cloud Production Environments
    • [cs.LG]SCR-Apriori for Mining `Sets of Contrasting Rules’
    • [cs.LG]Second-order Information in First-order Optimization Methods
    • [cs.LG]Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks
    • [cs.LG]Tensor entropy for uniform hypergraphs
    • [cs.LG]Triple Generative Adversarial Networks
    • [cs.LG]Uncertainty-sensitive Learning and Planning with Ensembles
    • [cs.LG]Understanding Deep Neural Network Predictions for Medical Imaging Applications
    • [cs.LG]When Explanations Lie: Why Modified BP Attribution Fails
    • [cs.LG]secml: A Python Library for Secure and Explainable Machine Learning
    • [cs.LO]A Paraconsistent ASP-like Language with Tractable Model Generation
    • [cs.NE]Evolving ab initio trading strategies in heterogeneous environments
    • [cs.NE]One-Shot Decision-Making with and without Surrogates
    • [cs.NE]Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning
    • [cs.PF]Analyzing the Download Time of Availability Codes
    • [cs.RO]A Model Predictive Approach for Online Mobile Manipulation of Nonholonomic Objects using Learned Dynamics
    • [cs.RO]Interactive Open-Ended Learning for 3D Object Recognition
    • [cs.RO]Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
    • [cs.RO]Multi-Robot Path Planning Via Genetic Programming
    • [cs.RO]UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes
    • [cs.SE]CORE: Automating Review Recommendation for Code Changes
    • [cs.SE]Morphy: A Datamorphic Software Test Automation Tool
    • [cs.SE]The Usage of Web Search for Software Engineering
    • [cs.SI]Community detection in node-attributed social networks: a survey
    • [cs.SI]Imbalance measure and proactive channel rebalancing algorithm for the Lightning Network
    • [eess.IV]A Calibration Scheme for Non-Line-of-Sight Imaging Setups
    • [eess.IV]A Comprehensive Study and Comparison of Core Technologies for MPEG 3D Point Cloud Compression
    • [eess.IV]Attributed Relational SIFT-based Regions Graph (ARSRG): concepts and applications
    • [eess.IV]Automated and Network Structure Preserving Segmentation of Optical Coherence Tomography Angiograms
    • [eess.IV]Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors
    • [eess.IV]HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models
    • [eess.IV]Transfer Learning with Edge Attention for Prostate MRI Segmentation
    • [math.AP]Nonlocal-interaction equation on graphs: gradient flow structure and continuum limit
    • [math.DS]Statistical Properties of Transmissions Subject to Rayleigh Fading and Ornstein-Uhlenbeck Mobility
    • [math.HO]CAT(0) geometry, robots, and society
    • [math.ST]A Model-Based Fuzzy Analysis of Questionnaires
    • [math.ST]High-Dimensional Dynamic Systems Identification with Additional Constraints
    • [math.ST]Singular matrix variate Birnbaum-Saunders distribution under elliptical models
    • [physics.geo-ph]Progressive transfer learning for low frequency data prediction in full waveform inversion
    • [physics.soc-ph]Non massive immunization to contain spreading on complex networks
    • [q-bio.PE]A mechanistic-statistical species distribution model to explain and forecast wolf (Canis lupus) colonization in South-Eastern France
    • [q-fin.RM]An Artificial Intelligence approach to Shadow Rating
    • [stat.AP]Confidence Bands and Hypothesis Test Methods for Recall and Precision Curves at Extremely Small Fractions with Applications to Drug Discovery
    • [stat.AP]Differential impact of acute fine particulate matter exposure on risk of stroke by stroke subtype, age, sex, and race: a case-crossover study
    • [stat.AP]Generalizing the log-Moyal distribution and regression models for heavy tailed loss data
    • [stat.ME]A Review of Dispersion Control Charts for Multivariate Individual Observations
    • [stat.ME]Heterogeneity-aware and communication-efficient distributed statistical inference
    • [stat.ME]Interval censored recursive forests
    • [stat.ME]Non-parametric efficient causal mediation with intermediate confounders
    • [stat.ME]Recruitment prediction for multi-centre clinical trials based on a hierarchical Poisson-gamma model: asymptotic analysis and improved intervals
    • [stat.ME]Robust Estimation and Variable Selection for the Accelerated Failure Time Model
    • [stat.ML]An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models
    • [stat.ML]CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets
    • [stat.ML]Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
    • [stat.ML]MLRG Deep Curvature

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

    • [cs.AI]Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
    Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang
    http://arxiv.org/abs/1912.09729v1

    • [cs.AI]Probability Calibration for Knowledge Graph Embedding Models
    Pedro Tabacof, Luca Costabello
    http://arxiv.org/abs/1912.10000v1

    • [cs.AI]The Blockchain Game: Synthesis of Byzantine Systems and Nash Equilibria
    Dongfang Zhao
    http://arxiv.org/abs/1912.09644v1

    • [cs.CL]A Hierarchical Model for Data-to-Text Generation
    Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari
    http://arxiv.org/abs/1912.10011v1

    • [cs.CL]BERTje: A Dutch BERT Model
    Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza, Tommaso Caselli, Gertjan van Noord, Malvina Nissim
    http://arxiv.org/abs/1912.09582v1

    • [cs.CL]Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural Networks
    Minh Nguyen, Gia H. Ngo, Nancy F. Chen
    http://arxiv.org/abs/1912.09913v1

    • [cs.CL]Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model
    Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov
    http://arxiv.org/abs/1912.09637v1

    • [cs.CL]RIMAX: Ranking Semantic Rhymes by calculating Definition Similarity
    Alfonso Medina-Urrea, Juan-Manuel Torres-Moreno
    http://arxiv.org/abs/1912.09558v1

    • [cs.CL]SberQuAD — Russian Reading Comprehension Dataset: Description and Analysis
    Pavel Efimov, Leonid Boytsov, Pavel Braslavski
    http://arxiv.org/abs/1912.09723v1

    • [cs.CL]When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation
    Tian Lan, Xianling Mao, Heyan Huang, Wei Wei
    http://arxiv.org/abs/1912.09879v1

    • [cs.CV]AdaBits: Neural Network Quantization with Adaptive Bit-Widths
    Qing Jin, Linjie Yang, Zhenyu Liao
    http://arxiv.org/abs/1912.09666v1

    • [cs.CV]Adversarial Representation Active Learning
    Ali Mottaghi, Serena Yeung
    http://arxiv.org/abs/1912.09720v1

    • [cs.CV]Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification
    Bennet Breier, Arno Onken
    http://arxiv.org/abs/1912.09857v1

    • [cs.CV]AtomNAS: Fine-Grained End-to-End Neural Architecture Search
    Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan Yuille, Jianchao Yang
    http://arxiv.org/abs/1912.09640v1

    • [cs.CV]AutoScale: Learning to Scale for Crowd Counting
    Chenfeng Xu, Dingkang Liang, Yongchao Xu, Song Bai, Wei Zhan, Masayoshi Tomizuka, Xiang Bai
    http://arxiv.org/abs/1912.09632v1

    • [cs.CV]Bridging adversarial samples and adversarial networks
    Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi
    http://arxiv.org/abs/1912.09670v1

    • [cs.CV]C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
    Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu
    http://arxiv.org/abs/1912.09628v1

    • [cs.CV]Controllable Face Aging
    Haien Zeng, Hanjiang Lai, Jian Yin
    http://arxiv.org/abs/1912.09694v1

    • [cs.CV]Deep Exemplar Networks for VQA and VQG
    Badri N. Patro, Vinay P. Namboodiri
    http://arxiv.org/abs/1912.09551v1

    • [cs.CV]DeepSFM: Structure From Motion Via Deep Bundle Adjustment
    Xingkui Wei, Yinda Zhang, Zhuwen Li, Yanwei Fu, Xiangyang Xue
    http://arxiv.org/abs/1912.09697v1

    • [cs.CV]Divide and Conquer: an Accurate Machine Learning Algorithm to Process Split Videos on a Parallel Processing Infrastructure
    Walter M. Mayor Toro, Juan C. Perafan Villota, Oscar H. Mondragon, Johan S. Obando Ceron
    http://arxiv.org/abs/1912.09601v1

    • [cs.CV]Exploring the Capacity of Sequential-free Box Discretization Network for Omnidirectional Scene Text Detection
    Yuliang Liu, Tong He, Hao Chen, Xinyu Wang, Canjie Luo, Shuaitao Zhang, Chunhua Shen, Lianwen Jin
    http://arxiv.org/abs/1912.09629v1

    • [cs.CV]High Resolution Millimeter Wave Imaging For Self-Driving Cars
    Junfeng Guan, Sohrab Madani, Suraj Jog, Haitham Hassanieh
    http://arxiv.org/abs/1912.09579v1

    • [cs.CV]ICDAR 2019 Robust Reading Challenge on Reading Chinese Text on Signboard
    Xi Liu, Rui Zhang, Yongsheng Zhou, Qianyi Jiang, Qi Song, Nan Li, Kai Zhou, Lei Wang, Dong Wang, Minghui Liao, Mingkun Yang, Xiang Bai, Baoguang Shi, Dimosthenis Karatzas, Shijian Lu, C. V. Jawahar
    http://arxiv.org/abs/1912.09641v1

    • [cs.CV]IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation
    Qiang Wang, Shizhen Zheng, Qingsong Yan, Fei Deng, Kaiyong Zhao, Xiaowen Chu
    http://arxiv.org/abs/1912.09678v1

    • [cs.CV]Identity Document to Selfie Face Matching Across Adolescence
    Vítor Albiero, Nisha Srinivas, Esteban Villalobos, Jorge Perez-Facuse, Roberto Rosenthal, Domingo Mery, Karl Ricanek, Kevin W. Bowyer
    http://arxiv.org/abs/1912.10021v1

    • [cs.CV]JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
    Lin Zhao, Wenbing Tao
    http://arxiv.org/abs/1912.09654v1

    • [cs.CV]MFPN: A Novel Mixture Feature Pyramid Network of Multiple Architectures for Object Detection
    Tingting Liang, Yongtao Wang, Qijie Zhao, huan zhang, Zhi Tang, Haibin Ling
    http://arxiv.org/abs/1912.09748v1

    • [cs.CV]P$^2$GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation
    Peiyu Yu, Yongming Rao, Jiwen Lu, Jie Zhou
    http://arxiv.org/abs/1912.09316v2

    • [cs.CV]Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation
    Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz
    http://arxiv.org/abs/1912.09685v1

    • [cs.CV]Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks
    Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell
    http://arxiv.org/abs/1912.09930v1

    • [cs.CV]Spatial and Temporal Consistency-Aware Dynamic Adaptive Streaming for 360-Degree Videos
    Hui Yuan, Shiyun Zhao, Junhui Hou, Xuekai Wei, Sam Kwong
    http://arxiv.org/abs/1912.09675v1

    • [cs.CV]TreyNet: A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages
    Manuel Carbonell, Alicia Fornés, Mauricio Villegas, Josep Lladós
    http://arxiv.org/abs/1912.10016v1

    • [cs.CV]Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition
    Konstantinos Papadopoulos, Enjie Ghorbel, Djamila Aouada, Björn Ottersten
    http://arxiv.org/abs/1912.09745v1

    • [cs.DC]Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing
    Chien-Sheng Yang, Ramtin Pedarsani, A. Salman Avestimehr
    http://arxiv.org/abs/1912.09512v1

    • [cs.DC]Hurry-up: Scaling Web Search on Big/Little Multi-core Architectures
    Rajiv Nishtala, Vinicius Petrucci, Paul Carpenter, Xavier Martorell
    http://arxiv.org/abs/1912.09844v1

    • [cs.DC]ODIN: Tamper-Resistant Round Trip Time Measurement for Distributed Systems
    Hannah Atmer, Kilian Rausch, Daniel McNally
    http://arxiv.org/abs/1912.09500v1

    • [cs.DC]Online Analysis of Distributed Dataflows with Timely Dataflow
    Malte Sandstede
    http://arxiv.org/abs/1912.09747v1

    • [cs.DC]Randomized Reactive Redundancy for Byzantine Fault-Tolerance in Parallelized Learning
    Nirupam Gupta, Nitin H. Vaidya
    http://arxiv.org/abs/1912.09528v1

    • [cs.GT]Quantal Response Equilibria in Binary Choice Games on Graphs
    Andrey Leonidov, Alexey Savvateev, Andrew G. Semenov
    http://arxiv.org/abs/1912.09584v1

    • [cs.HC]Smart Home Appliances: Chat with Your Fridge
    Denis Gudovskiy, Gyuri Han, Takuya Yamaguchi, Sotaro Tsukizawa
    http://arxiv.org/abs/1912.09589v1

    • [cs.IR]A Framework for Explainable Text Classification in Legal Document Review
    Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao
    http://arxiv.org/abs/1912.09501v1

    • [cs.IR]Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review
    Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Shi Ye, Han Qin
    http://arxiv.org/abs/1912.09499v1

    • [cs.IR]Report on the First HIPstIR Workshop on the Future of Information Retrieval
    Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber, Sandeep Avula, Asia Biega, Adrian Boteanu, Shubham Chatterjee, Jeff Dalton, Shiri Dori-Hacohen, John Foley, Henry Feild, Ben Gamari, Rosie Jones, Pallika Kanani, Sumanta Kashyapi, Widad Machmouchi, Matthew Mitsui, Steve Nole, Alexandre Tachard Passos, Jordan Ramsdell, Adam Roegiest, David Smith, Alessandro Sordoni
    http://arxiv.org/abs/1912.09910v1

    • [cs.IT]A new construction of nonlinear codes via rational function fields
    Lingfei Jin, Liming Ma, Chaoping Xing
    http://arxiv.org/abs/1912.09830v1

    • [cs.IT]Fundamental Limits of Device-to-Device Private Caching with Trusted Server
    Kai Wan, Hua Sun, Mingyue Ji, Daniela Tuninetti, Giuseppe Caire
    http://arxiv.org/abs/1912.09985v1

    • [cs.IT]Large Deviations Behavior of the Logarithmic Error Probability of Random Codes
    Ran Tamir, Neri Merhav, Nir Weinberger, Albert Guillen i Fabregas
    http://arxiv.org/abs/1912.09657v1

    • [cs.IT]New Construction of Optimal Interference-Free ZCZ Sequence Sets by Zak Transform
    Qiping Fang, Zilong Wang
    http://arxiv.org/abs/1912.09781v1

    • [cs.IT]Subpacketization-Beamformer Interaction in Multi-Antenna Coded Caching
    MohammadJavad Salehi, Antti Tölli, Seyed Pooya Shariatpanahi
    http://arxiv.org/abs/1912.09891v1

    • [cs.LG]A Fair Comparison of Graph Neural Networks for Graph Classification
    Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli
    http://arxiv.org/abs/1912.09893v1

    • [cs.LG]A Survey on Distributed Machine Learning
    Joost Verbraeken, Matthijs Wolting, Jonathan Katzy, Jeroen Kloppenburg, Tim Verbelen, Jan S. Rellermeyer
    http://arxiv.org/abs/1912.09789v1

    • [cs.LG]Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks
    Gabriëlle Ras, Ron Dotsch, Luca Ambrogioni, Umut Güçlü, Marcel A. J. van Gerven
    http://arxiv.org/abs/1912.09831v1

    • [cs.LG]Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing
    Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong
    http://arxiv.org/abs/1912.09899v1

    • [cs.LG]Data Science through the looking glass and what we found there
    Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer
    http://arxiv.org/abs/1912.09536v1

    • [cs.LG]Dependable Neural Networks for Safety Critical Tasks
    Molly O’Brien, William Goble, Greg Hager, Julia Bukowski
    http://arxiv.org/abs/1912.09902v1

    • [cs.LG]Distributed Fixed Point Methods with Compressed Iterates
    Sélim Chraibi, Ahmed Khaled, Dmitry Kovalev, Peter Richtárik, Adil Salim, Martin Takáč
    http://arxiv.org/abs/1912.09925v1

    • [cs.LG]Distributed Online Optimization with Long-Term Constraints
    Deming Yuan, Alexandre Proutiere, Guodong Shi
    http://arxiv.org/abs/1912.09705v1

    • [cs.LG]Explainability and Adversarial Robustness for RNNs
    Alexander Hartl, Maximilian Bachl, Joachim Fabini, Tanja Zseby
    http://arxiv.org/abs/1912.09855v1

    • [cs.LG]Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data
    Johan S. Obando-Ceron, Victor Romero Cano, Walter Mayor Toro
    http://arxiv.org/abs/1912.09595v1

    • [cs.LG]Features or Shape? Tackling the False Dichotomy of Time Series Classification
    Sara Alaee, Alireza Abdoli, Christian Shelton, Amy C. Murillo, Alec C. Gerry, Eamonn Keogh
    http://arxiv.org/abs/1912.09614v1

    • [cs.LG]Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems
    Wei Huang, Richard Yi Da Xu
    http://arxiv.org/abs/1912.09593v1

    • [cs.LG]Graph Convolutional Networks: analysis, improvements and results
    Ihsan Ullah, Mario Manzo, Mitul Shah, Michael Madden
    http://arxiv.org/abs/1912.09592v1

    • [cs.LG]Group-Connected Multilayer Perceptron Networks
    Mohammad Kachuee, Sajad Darabi, Shayan Fazeli, Majid Sarrafzadeh
    http://arxiv.org/abs/1912.09600v1

    • [cs.LG]Lightweight and Unobtrusive Privacy Preservation for Remote Inference via Edge Data Obfuscation
    Dixing Xu, Mengyao Zheng, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng
    http://arxiv.org/abs/1912.09859v1

    • [cs.LG]Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
    Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet
    http://arxiv.org/abs/1912.09713v1

    • [cs.LG]Meta-Graph: Few shot Link Prediction via Meta Learning
    Avishek Joey Bose, Ankit Jain, Piero Molino, William L. Hamilton
    http://arxiv.org/abs/1912.09867v1

    • [cs.LG]Practical Solutions for Machine Learning Safety in Autonomous Vehicles
    Sina Mohseni, Mandar Pitale, Vasu Singh, Zhangyang Wang
    http://arxiv.org/abs/1912.09630v1

    • [cs.LG]Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises
    Peng Gang, Wei Zeng, Yuri Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii Stirenko
    http://arxiv.org/abs/1912.09848v1

    • [cs.LG]Robust Data Preprocessing for Machine-Learning-Based Disk Failure Prediction in Cloud Production Environments
    Shujie Han, Jun Wu, Erci Xu, Cheng He, Patrick P. C. Lee, Yi Qiang, Qixing Zheng, Tao Huang, Zixi Huang, Rui Li
    http://arxiv.org/abs/1912.09722v1

    • [cs.LG]SCR-Apriori for Mining `Sets of Contrasting Rules’
    Marharyta Aleksandrova, Oleg Chertov
    http://arxiv.org/abs/1912.09817v1

    • [cs.LG]Second-order Information in First-order Optimization Methods
    Yuzheng Hu, Licong Lin, Shange Tang
    http://arxiv.org/abs/1912.09926v1

    • [cs.LG]Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks
    Andrey Kuzmin, Markus Nagel, Saurabh Pitre, Sandeep Pendyam, Tijmen Blankevoort, Max Welling
    http://arxiv.org/abs/1912.09802v1

    • [cs.LG]Tensor entropy for uniform hypergraphs
    Can Chen, Indika Rajapakse
    http://arxiv.org/abs/1912.09624v1

    • [cs.LG]Triple Generative Adversarial Networks
    Chongxuan Li, Kun Xu, Jiashuo Liu, Jun Zhu, Bo Zhang
    http://arxiv.org/abs/1912.09784v1

    • [cs.LG]Uncertainty-sensitive Learning and Planning with Ensembles
    Piotr Miłoś, Łukasz Kuciński, Konrad Czechowski, Piotr Kozakowski, Maciek Klimek
    http://arxiv.org/abs/1912.09996v1

    • [cs.LG]Understanding Deep Neural Network Predictions for Medical Imaging Applications
    Barath Narayanan Narayanan, Manawaduge Supun De Silva, Russell C. Hardie, Nathan K. Kueterman, Redha Ali
    http://arxiv.org/abs/1912.09621v1

    • [cs.LG]When Explanations Lie: Why Modified BP Attribution Fails
    Leon Sixt, Maximilian Granz, Tim Landgraf
    http://arxiv.org/abs/1912.09818v1

    • [cs.LG]secml: A Python Library for Secure and Explainable Machine Learning
    Marco Melis, Ambra Demontis, Maura Pintor, Angelo Sotgiu, Battista Biggio
    http://arxiv.org/abs/1912.10013v1

    • [cs.LO]A Paraconsistent ASP-like Language with Tractable Model Generation
    Andrzej Szalas
    http://arxiv.org/abs/1912.09715v1

    • [cs.NE]Evolving ab initio trading strategies in heterogeneous environments
    David Rushing Dewhurst, Yi Li, Alexander Bogdan, Jasmine Geng
    http://arxiv.org/abs/1912.09524v1

    • [cs.NE]One-Shot Decision-Making with and without Surrogates
    Jakob Bossek, Pascal Kerschke, Aneta Neumann, Frank Neumann, Carola Doerr
    http://arxiv.org/abs/1912.08956v2

    • [cs.NE]Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning
    Andrei Ivanov, Anna Golovkina, Uwe Iben
    http://arxiv.org/abs/1912.09986v1

    • [cs.PF]Analyzing the Download Time of Availability Codes
    Mehmet Fatih Aktas, Swanand Kadhe, Emina Soljanin, Alex Sprintson
    http://arxiv.org/abs/1912.09765v1

    • [cs.RO]A Model Predictive Approach for Online Mobile Manipulation of Nonholonomic Objects using Learned Dynamics
    Roya Sabbagh Novin, Amir Yazdani, Andrew Merryweather, Tucker Hermans
    http://arxiv.org/abs/1912.09565v1

    • [cs.RO]Interactive Open-Ended Learning for 3D Object Recognition
    S. Hamidreza Kasaei
    http://arxiv.org/abs/1912.09539v1

    • [cs.RO]Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
    Wenhao Luo, Ashish Kapoor
    http://arxiv.org/abs/1912.09957v1

    • [cs.RO]Multi-Robot Path Planning Via Genetic Programming
    Alexandre Trudeau, Christopher M. Clark
    http://arxiv.org/abs/1912.09503v1

    • [cs.RO]UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes
    Weisong Wen, Yiyang Zhou, Guohao Zhang, Saman Fahandezh-Saadi, Xiwei Bai, Wei Zhan, Masayoshi Tomizuka, Li-Ta Hsu
    http://arxiv.org/abs/1912.09513v1

    • [cs.SE]CORE: Automating Review Recommendation for Code Changes
    JingKai Siow, Cuiyun Gao, Lingling Fan, Sen Chen, Yang Liu
    http://arxiv.org/abs/1912.09652v1

    • [cs.SE]Morphy: A Datamorphic Software Test Automation Tool
    Hong Zhu, Ian Bayley, Dongmei Liu, Xiaoyu Zheng
    http://arxiv.org/abs/1912.09881v1

    • [cs.SE]The Usage of Web Search for Software Engineering
    Chetan Bansal, Thomas Zimmermann, Ahmed Hassan Awadallah, Nachiappan Nagappan
    http://arxiv.org/abs/1912.09519v1

    • [cs.SI]Community detection in node-attributed social networks: a survey
    Petr Chunaev
    http://arxiv.org/abs/1912.09816v1

    • [cs.SI]Imbalance measure and proactive channel rebalancing algorithm for the Lightning Network
    Rene Pickhardt, Mariusz Nowostawski
    http://arxiv.org/abs/1912.09555v1

    • [eess.IV]A Calibration Scheme for Non-Line-of-Sight Imaging Setups
    Jonathan Klein, Martin Laurenzis, Matthias B. Hullin, Julian Iseringhausen
    http://arxiv.org/abs/1912.09923v1

    • [eess.IV]A Comprehensive Study and Comparison of Core Technologies for MPEG 3D Point Cloud Compression
    Hao Liu, Hui Yuan, Qi Liu, Junhui Hou, Ju Liu
    http://arxiv.org/abs/1912.09674v1

    • [eess.IV]Attributed Relational SIFT-based Regions Graph (ARSRG): concepts and applications
    Mario Manzo
    http://arxiv.org/abs/1912.09972v1

    • [eess.IV]Automated and Network Structure Preserving Segmentation of Optical Coherence Tomography Angiograms
    Ylenia Giarratano, Eleonora Bianchi, Calum Gray, Andrew Morris, Tom MacGillivray, Baljean Dhillon, Miguel O. Bernabeu
    http://arxiv.org/abs/1912.09978v1

    • [eess.IV]Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors
    Omar S. Al-Kadi, Daniel Y. F. Chung, Constantin C. Coussios, J. Alison Noble
    http://arxiv.org/abs/1912.09903v1

    • [eess.IV]HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models
    James Townsend, Thomas Bird, Julius Kunze, David Barber
    http://arxiv.org/abs/1912.09953v1

    • [eess.IV]Transfer Learning with Edge Attention for Prostate MRI Segmentation
    Xiangxiang Qin
    http://arxiv.org/abs/1912.09847v1

    • [math.AP]Nonlocal-interaction equation on graphs: gradient flow structure and continuum limit
    Antonio Esposito, Francesco S. Patacchini, André Schlichting, Dejan Slepčev
    http://arxiv.org/abs/1912.09834v1

    • [math.DS]Statistical Properties of Transmissions Subject to Rayleigh Fading and Ornstein-Uhlenbeck Mobility
    Arta Cika, Mihai-Alin Badiu, Justin P. Coon
    http://arxiv.org/abs/1912.09776v1

    • [math.HO]CAT(0) geometry, robots, and society
    Federico Ardila
    http://arxiv.org/abs/1912.10007v1

    • [math.ST]A Model-Based Fuzzy Analysis of Questionnaires
    Elvira Di Nardo, Rosaria Simone
    http://arxiv.org/abs/1912.09883v1

    • [math.ST]High-Dimensional Dynamic Systems Identification with Additional Constraints
    Junlin Li
    http://arxiv.org/abs/1912.09767v1

    • [math.ST]Singular matrix variate Birnbaum-Saunders distribution under elliptical models
    José A. Díaz-García, Francisco J. Caro-Lopera
    http://arxiv.org/abs/1912.09547v1

    • [physics.geo-ph]Progressive transfer learning for low frequency data prediction in full waveform inversion
    Wenyi Hu, Yuchen Jin, Xuqing Wu, Jiefu Chen
    http://arxiv.org/abs/1912.09944v1

    • [physics.soc-ph]Non massive immunization to contain spreading on complex networks
    Guilherme S. Costa, Silvio C. Ferreira
    http://arxiv.org/abs/1912.09976v1

    • [q-bio.PE]A mechanistic-statistical species distribution model to explain and forecast wolf (Canis lupus) colonization in South-Eastern France
    Julie Louvrier, Julien Papaïx, Christophe Duchamp, Olivier Gimenez
    http://arxiv.org/abs/1912.09676v1

    • [q-fin.RM]An Artificial Intelligence approach to Shadow Rating
    Angela Rita Provenzano, Daniele Trifirò, Nicola Jean, Giacomo Le Pera, Maurizio Spadaccino, Luca Massaron, Claudio Nordio
    http://arxiv.org/abs/1912.09764v1

    • [stat.AP]Confidence Bands and Hypothesis Test Methods for Recall and Precision Curves at Extremely Small Fractions with Applications to Drug Discovery
    Jeremy R. Ash, Jacqueline M. Hughes-Oliver
    http://arxiv.org/abs/1912.09526v1

    • [stat.AP]Differential impact of acute fine particulate matter exposure on risk of stroke by stroke subtype, age, sex, and race: a case-crossover study
    Mohammad Alfrad Nobel Bhuiyan, Cole Brokamp, Tracy E. Madsen, Jane C. Khoury, Heidi Sucharew, Kathleen Alwell, Charles J. Moomaw, Monir Hossain, Matthew L. Flaherty, Daniel Woo, Jason Mackey, Felipe De Los Rios La Rosa, Sharyl Martini, Simona Ferioli, Opeolu Adeoye, Brett M. Kissela, Dawn Kleindorfer
    http://arxiv.org/abs/1912.09504v1

    • [stat.AP]Generalizing the log-Moyal distribution and regression models for heavy tailed loss data
    Zhengxiao Li, Jan Beirlant, Shengwang Meng
    http://arxiv.org/abs/1912.09560v1

    • [stat.ME]A Review of Dispersion Control Charts for Multivariate Individual Observations
    Jimoh Olawale Ajadi, Zezhong Wang, Inez Maria Zwetsloot
    http://arxiv.org/abs/1912.09755v1

    • [stat.ME]Heterogeneity-aware and communication-efficient distributed statistical inference
    Rui Duan, Yang Ning, Yong Chen
    http://arxiv.org/abs/1912.09623v1

    • [stat.ME]Interval censored recursive forests
    Hunyong Cho, Nicholas P. Jewell, Michael R. Kosorok
    http://arxiv.org/abs/1912.09983v1

    • [stat.ME]Non-parametric efficient causal mediation with intermediate confounders
    Iván Díaz, Nima S. Hejazi, Kara E. Rudolph, Mark J. van der Laan
    http://arxiv.org/abs/1912.09936v1

    • [stat.ME]Recruitment prediction for multi-centre clinical trials based on a hierarchical Poisson-gamma model: asymptotic analysis and improved intervals
    Rachael Mountain, Chris Sherlock
    http://arxiv.org/abs/1912.09790v1

    • [stat.ME]Robust Estimation and Variable Selection for the Accelerated Failure Time Model
    Yi Li, Muxuan Liang, Lu Mao, Sijian Wang
    http://arxiv.org/abs/1912.09664v1

    • [stat.ML]An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models
    Aliaksandr Hubin
    http://arxiv.org/abs/1912.09733v1

    • [stat.ML]CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets
    Zhe Qu, Hai Shu
    http://arxiv.org/abs/1912.09989v1

    • [stat.ML]Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
    Andres Potapczynski, Gabriel Loaiza-Ganem, John P. Cunningham
    http://arxiv.org/abs/1912.09588v1

    • [stat.ML]MLRG Deep Curvature
    Diego Granziol, Xingchen Wan, Timur Garipov, Dmitry Vetrov, Stephen Roberts
    http://arxiv.org/abs/1912.09656v1