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
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• [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