cs.AI - 人工智能

    cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GL - 一般文献 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.MA - 多代理系统 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.FA - 泛函演算 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ML - (统计)机器学习

    • [cs.AI]An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types
    • [cs.AI]Learning by Abstraction: The Neural State Machine
    • [cs.AI]Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle
    • [cs.CL]A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts
    • [cs.CL]Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition
    • [cs.CL]Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function
    • [cs.CL]Can Unconditional Language Models Recover Arbitrary Sentences?
    • [cs.CL]Incrementalizing RASA’s Open-Source Natural Language Understanding Pipeline
    • [cs.CL]Large Memory Layers with Product Keys
    • [cs.CL]Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
    • [cs.CL]MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment
    • [cs.CL]Modelling the Socialization of Creative Agents in a Master-Apprentice Setting: The Case of Movie Title Puns
    • [cs.CL]No Word is an Island — A Transformation Weighting Model for Semantic Composition
    • [cs.CL]ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
    • [cs.CL]Self-Regulated Interactive Sequence-to-Sequence Learning
    • [cs.CL]Semantic Parsing with Dual Learning
    • [cs.CL]Vision-and-Dialog Navigation
    • [cs.CR]Adversarial Objects Against LiDAR-Based Autonomous Driving Systems
    • [cs.CR]On Analysis of the Bitcoin and Prism Backbone Protocols
    • [cs.CV]A Comparison of Super-Resolution and Nearest Neighbors Interpolation Applied to Object Detection on Satellite Data
    • [cs.CV]A Deep Neural Network for Finger Counting and Numerosity Estimation
    • [cs.CV]Activitynet 2019 Task 3: Exploring Contexts for Dense Captioning Events in Videos
    • [cs.CV]Aesthetic Attributes Assessment of Images
    • [cs.CV]Agile Domain Adaptation
    • [cs.CV]BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
    • [cs.CV]Cross-Domain Complementary Learning with Synthetic Data for Multi-Person Part Segmentation
    • [cs.CV]Deep Active Learning for Axon-Myelin Segmentation on Histology Data
    • [cs.CV]Diverse Trajectory Forecasting with Determinantal Point Processes
    • [cs.CV]Dunhuang Grottoes Painting Dataset and Benchmark
    • [cs.CV]Efficient Semantic Scene Completion Network with Spatial Group Convolution
    • [cs.CV]Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces
    • [cs.CV]FIRE: Unsupervised bi-directional inter-modality registration using deep networks
    • [cs.CV]Fully Convolutional Networks for Handwriting Recognition
    • [cs.CV]Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking
    • [cs.CV]Image-Based Size Analysis of Agglomerated and Partially Sintered Particles via Convolutional Neural Networks
    • [cs.CV]Influence of Pointing on Learning to Count: A Neuro-Robotics Model
    • [cs.CV]Micro-expression Action Unit Detection withSpatio-temporal Adaptive Pooling
    • [cs.CV]Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition
    • [cs.CV]My lips are concealed: Audio-visual speech enhancement through obstructions
    • [cs.CV]Object Detection in Video with Spatial-temporal Context Aggregation
    • [cs.CV]One Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking
    • [cs.CV]Optimal Feature Transport for Cross-View Image Geo-Localization
    • [cs.CV]Semi-supervised Feature-Level Attribute Manipulation for Fashion Image Retrieval
    • [cs.CV]Single Image Super-Resolution via CNN Architectures and TV-TV Minimization
    • [cs.CV]StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision
    • [cs.CV]Two-stream Spatiotemporal Feature for Video QA Task
    • [cs.CY]Estimating Traffic Disruption Patterns with Volunteered Geographic Information
    • [cs.DC]A Study of Network Congestion in Two Supercomputing High-Speed Interconnects
    • [cs.DC]StakeCube: Combining Sharding and Proof-of-Stake to build Fork-free Secure Permissionless Distributed Ledgers
    • [cs.DS]Analysis of Ward’s Method
    • [cs.DS]Computational Concentration of Measure: Optimal Bounds, Reductions, and More
    • [cs.DS]Quantum and Classical Algorithms for Approximate Submodular Function Minimization
    • [cs.DS]Walking Randomly, Massively, and Efficiently
    • [cs.GL]Kolmogorov complexity in the USSR (1975—1982): isolation and its end
    • [cs.HC]Belief places and spaces: Mapping cognitive environments
    • [cs.IR]Featured Snippets Results in Google Web Search: An Exploratory Study
    • [cs.IR]Hierarchical Clustering Supported by Reciprocal Nearest Neighbors
    • [cs.IR]Privileged Features Distillation for E-Commerce Recommendations
    • [cs.IR]Productization Challenges of Contextual Multi-Armed Bandits
    • [cs.IT]Computing sharp recovery structures for Locally Recoverable codes
    • [cs.IT]Error Exponents for Asynchronous Multiple Access Channels. Controlled Asynchronism may Outperform Synchronism
    • [cs.IT]Information-Centric Grant-Free Access for IoT Fog Networks: Edge vs Cloud Detection and Learning
    • [cs.IT]Minimax Theorems for Finite Blocklength Lossy Joint Source-Channel Coding over an AVC
    • [cs.IT]Recovery and Repair Schemes for Shift-XOR Regenerating Codes
    • [cs.IT]Timely Cloud Computing: Preemption and Waiting
    • [cs.IT]Using Chinese Characters To Generate Text-Based Passwords For Information Security
    • [cs.LG]A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning
    • [cs.LG]Amplifying Rényi Differential Privacy via Shuffling
    • [cs.LG]Beyond Imitation: Generative and Variational Choreography via Machine Learning
    • [cs.LG]Explaining an increase in predicted risk for clinical alerts
    • [cs.LG]Fairness without Regret
    • [cs.LG]Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
    • [cs.LG]GraphSAINT: Graph Sampling Based Inductive Learning Method
    • [cs.LG]Identifying Linear Models in Multi-Resolution Population Data using Minimum Description Length Principle to Predict Household Income
    • [cs.LG]Interpretable Dynamics Models for Data-Efficient Reinforcement Learning
    • [cs.LG]Making AI Forget You: Data Deletion in Machine Learning
    • [cs.LG]Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification
    • [cs.LG]Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders
    • [cs.LG]PreCall: A Visual Interface for Threshold Optimization in ML Model Selection
    • [cs.LG]Profiling based Out-of-core Hybrid Method for Large Neural Networks
    • [cs.LG]Provably Efficient Reinforcement Learning with Linear Function Approximation
    • [cs.LG]Safe Policy Improvement with Soft Baseline Bootstrapping
    • [cs.LG]Spatiotemporal Local Propagation
    • [cs.LG]Time series cluster kernels to exploit informative missingness and incomplete label information
    • [cs.LG]Time2Vec: Learning a Vector Representation of Time
    • [cs.LG]Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
    • [cs.LG]Variance-Based Risk Estimations in Markov Processes via Transformation with State Lumping
    • [cs.LO]ADDMC: Exact Weighted Model Counting with Algebraic Decision Diagrams
    • [cs.MA]A Neural Architecture for Designing Truthful and Efficient Auctions
    • [cs.RO]A Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles
    • [cs.RO]A Resource-Aware Approach to Collaborative Loop Closure Detection with Provable Performance Guarantees
    • [cs.RO]Aerial Animal Biometrics: Individual Friesian Cattle Recovery and Visual Identification via an Autonomous UAV with Onboard Deep Inference
    • [cs.RO]Incremental Semantic Mapping with Unsupervised On-line Learning
    • [cs.RO]Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction
    • [cs.RO]Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints
    • [cs.RO]Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR
    • [cs.SD]Explicitly Conditioned Melody Generation: A Case Study with Interdependent RNNs
    • [cs.SD]LakhNES: Improving multi-instrumental music generation with cross-domain pre-training
    • [cs.SI]Evidential positive opinion influence measures for viral marketing
    • [eess.AS]Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition
    • [eess.IV]Assessing postural instability during cerebral hypoperfusion using sub-millimeter monocular 3D sway tracking
    • [eess.IV]Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography
    • [eess.IV]Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre data
    • [eess.IV]Edge Heuristic GAN for Non-uniform Blind Deblurring
    • [eess.IV]Extension of Sinkhorn Method: Optimal Movement Estimation of Agents Moving at Constant Velocity
    • [eess.IV]retina-VAE: Variationally Decoding the Spectrum of Macular Disease
    • [eess.SP]Functional Brain Networks Discovery Using Dictionary Learning with Correlated Sparsity
    • [eess.SP]Message passing-based link configuration in short range millimeter wave systems
    • [eess.SP]Neural Network-based Equalizer by Utilizing Coding Gain in Advance
    • [eess.SP]Terahertz Band: The Last Piece of RF Spectrum Puzzle for Communication Systems
    • [eess.SP]Towards a Connected Sky: Performance of Beamforming with Down-tilted Antennas for Ground and UAV User Co-existence
    • [math.FA]Super-resolution meets machine learning: approximation of measures
    • [math.NA]Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles
    • [math.NA]Three algorithms for solving high-dimensional fully-coupled FBSDEs through deep learning
    • [math.OC]Adaptive Deep Learning for High Dimensional Hamilton-Jacobi-Bellman Equations
    • [math.OC]Statistical inference for piecewise normal distributions and stochastic variational inequalities
    • [math.ST]Directing Power Towards Sub-Alternatives
    • [math.ST]Estimating the division rate from indirect measurements of single cells
    • [math.ST]Nonparametric estimation of the conditional density function with right-censored and dependent data
    • [q-bio.QM]Warfarin dose estimation on multiple datasets with automated hyperparameter optimisation and a novel software framework
    • [quant-ph]Highly parallel algorithm for the Ising ground state searching problem
    • [quant-ph]Learning to learn with quantum neural networks via classical neural networks
    • [quant-ph]Machine Learning Kernel Method from a Quantum Generative Model
    • [stat.AP]Fitting Prediction Rule Ensembles to Psychological Research Data: An Introduction and Tutorial
    • [stat.AP]The HOG-FDA Approach with Mobile Phone Data to Modeling the Dynamic of People’s Presences in the City
    • [stat.AP]The acute:chronic workload ratio: challenges and prospects for improvement
    • [stat.ML]Change point detection for graphical models in presence of missing values
    • [stat.ML]Gain with no Pain: Efficient Kernel-PCA by Nyström Sampling
    • [stat.ML]Low-rank matrix completion and denoising under Poisson noise
    • [stat.ML]Multivariate Time Series Imputation with Variational Autoencoders

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    • [cs.AI]An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types
    Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
    http://arxiv.org/abs/1907.05247v1

    • [cs.AI]Learning by Abstraction: The Neural State Machine
    Drew A. Hudson, Christopher D. Manning
    http://arxiv.org/abs/1907.03950v2

    • [cs.AI]Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle
    Guojun Wu, Yanhua Li, Zhenming Liu, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo
    http://arxiv.org/abs/1907.05390v1

    • [cs.CL]A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts
    Jiahuan Pei, Pengjie Ren, Maarten de Rijke
    http://arxiv.org/abs/1907.05346v1

    • [cs.CL]Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition
    Xiaodong Cui, Michael Picheny
    http://arxiv.org/abs/1907.04882v1

    • [cs.CL]Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function
    Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Hamed Shariat Yazdi, Jens Lehmann
    http://arxiv.org/abs/1907.05336v1

    • [cs.CL]Can Unconditional Language Models Recover Arbitrary Sentences?
    Nishant Subramani, Sam Bowman, Kyunghyun Cho
    http://arxiv.org/abs/1907.04944v1

    • [cs.CL]Incrementalizing RASA’s Open-Source Natural Language Understanding Pipeline
    Andrew Rafla, Casey Kennington
    http://arxiv.org/abs/1907.05403v1

    • [cs.CL]Large Memory Layers with Product Keys
    Guillaume Lample, Alexandre Sablayrolles, Marc’Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou
    http://arxiv.org/abs/1907.05242v1

    • [cs.CL]Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
    Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Dmitry Lepikhin, Melvin Johnson, Maxim Krikun, Mia Xu Chen, Yuan Cao, George Foster, Colin Cherry, Wolfgang Macherey, Zhifeng Chen, Yonghui Wu
    http://arxiv.org/abs/1907.05019v1

    • [cs.CL]MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment
    Nikolai Ilinykh, Sina Zarrieß, David Schlangen
    http://arxiv.org/abs/1907.05084v1

    • [cs.CL]Modelling the Socialization of Creative Agents in a Master-Apprentice Setting: The Case of Movie Title Puns
    Mika Hämäläinen, Khalid Alnajjar
    http://arxiv.org/abs/1907.04954v1

    • [cs.CL]No Word is an Island — A Transformation Weighting Model for Semantic Composition
    Corina Dima, Daniël de Kok, Neele Witte, Erhard Hinrichs
    http://arxiv.org/abs/1907.05048v1

    • [cs.CL]ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
    Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
    http://arxiv.org/abs/1907.05339v1

    • [cs.CL]Self-Regulated Interactive Sequence-to-Sequence Learning
    Julia Kreutzer, Stefan Riezler
    http://arxiv.org/abs/1907.05190v1

    • [cs.CL]Semantic Parsing with Dual Learning
    Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, Kai Yu
    http://arxiv.org/abs/1907.05343v1

    • [cs.CL]Vision-and-Dialog Navigation
    Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer
    http://arxiv.org/abs/1907.04957v1

    • [cs.CR]Adversarial Objects Against LiDAR-Based Autonomous Driving Systems
    Yulong Cao, Chaowei Xiao, Dawei Yang, Jing Fang, Ruigang Yang, Mingyan Liu, Bo Li
    http://arxiv.org/abs/1907.05418v1

    • [cs.CR]On Analysis of the Bitcoin and Prism Backbone Protocols
    Jing Li, Dongning Guo
    http://arxiv.org/abs/1907.05016v1

    • [cs.CV]A Comparison of Super-Resolution and Nearest Neighbors Interpolation Applied to Object Detection on Satellite Data
    Evan Koester, Cem Safak Sahin
    http://arxiv.org/abs/1907.05283v1

    • [cs.CV]A Deep Neural Network for Finger Counting and Numerosity Estimation
    Leszek Pecyna, Angelo Cangelosi, Alessandro Di Nuovo
    http://arxiv.org/abs/1907.05270v1

    • [cs.CV]Activitynet 2019 Task 3: Exploring Contexts for Dense Captioning Events in Videos
    Shizhe Chen, Yuqing Song, Yida Zhao, Qin Jin, Zhaoyang Zeng, Bei Liu, Jianlong Fu, Alexander Hauptmann
    http://arxiv.org/abs/1907.05092v1

    • [cs.CV]Aesthetic Attributes Assessment of Images
    Xin Jin, Le Wu, Geng Zhao, Xiaodong Li, Xiaokun Zhang, Shiming Ge, Dongqing Zou, Bin Zhou, Xinghui Zhou
    http://arxiv.org/abs/1907.04983v1

    • [cs.CV]Agile Domain Adaptation
    Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang
    http://arxiv.org/abs/1907.04978v1

    • [cs.CV]BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
    Valentin Bazarevsky, Yury Kartynnik, Andrey Vakunov, Karthik Raveendran, Matthias Grundmann
    http://arxiv.org/abs/1907.05047v1

    • [cs.CV]Cross-Domain Complementary Learning with Synthetic Data for Multi-Person Part Segmentation
    Kevin Lin, Lijuan Wang, Kun Luo, Yinpeng Chen, Zicheng Liu, Ming-Ting Sun
    http://arxiv.org/abs/1907.05193v1

    • [cs.CV]Deep Active Learning for Axon-Myelin Segmentation on Histology Data
    Melanie Lubrano di Scandalea, Christian S. Perone, Mathieu Boudreau, Julien Cohen-Adad
    http://arxiv.org/abs/1907.05143v1

    • [cs.CV]Diverse Trajectory Forecasting with Determinantal Point Processes
    Ye Yuan, Kris Kitani
    http://arxiv.org/abs/1907.04967v1

    • [cs.CV]Dunhuang Grottoes Painting Dataset and Benchmark
    Tianxiu Yu, Shijie Zhang, Cong Lin, Shaodi You, Jian Wu, Jiawan Zhang, Xiaohong Ding, Huili An
    http://arxiv.org/abs/1907.04589v2

    • [cs.CV]Efficient Semantic Scene Completion Network with Spatial Group Convolution
    Jiahui Zhang, Hao Zhao, Anbang Yao, Yurong Chen, Li Zhang, Hongen Liao
    http://arxiv.org/abs/1907.05091v1

    • [cs.CV]Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces
    Huazhu Fu, Boyang Wang, Jianbing Shen, Shanshan Cui, Yanwu Xu, Jiang Liu, Ling Shao
    http://arxiv.org/abs/1907.05345v1

    • [cs.CV]FIRE: Unsupervised bi-directional inter-modality registration using deep networks
    Chengjia Wang, Giorgos Papanastasiou, Agisilaos Chartsias, Grzegorz Jacenkow, Sotirios A. Tsaftaris, Heye Zhang
    http://arxiv.org/abs/1907.05062v1

    • [cs.CV]Fully Convolutional Networks for Handwriting Recognition
    Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond Ptucha
    http://arxiv.org/abs/1907.04888v1

    • [cs.CV]Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking
    Xiaolong Jiang, Peizhao Li, Yanjing Li, Xiantong Zhen
    http://arxiv.org/abs/1907.05315v1

    • [cs.CV]Image-Based Size Analysis of Agglomerated and Partially Sintered Particles via Convolutional Neural Networks
    Max Frei, Frank Einar Kruis
    http://arxiv.org/abs/1907.05112v1

    • [cs.CV]Influence of Pointing on Learning to Count: A Neuro-Robotics Model
    Leszek Pecyna, Angelo Cangelosi
    http://arxiv.org/abs/1907.05269v1

    • [cs.CV]Micro-expression Action Unit Detection withSpatio-temporal Adaptive Pooling
    Yante Li, Xiaohua Huang, Guoying Zhao
    http://arxiv.org/abs/1907.05023v1

    • [cs.CV]Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition
    Xiangyang Li, Luis Herranz, Shuqiang Jiang
    http://arxiv.org/abs/1907.05099v1

    • [cs.CV]My lips are concealed: Audio-visual speech enhancement through obstructions
    Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman
    http://arxiv.org/abs/1907.04975v1

    • [cs.CV]Object Detection in Video with Spatial-temporal Context Aggregation
    Hao Luo, Lichao Huang, Han Shen, Yuan Li, Chang Huang, Xinggang Wang
    http://arxiv.org/abs/1907.04988v1

    • [cs.CV]One Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking
    Tobias Fechter, Dimos Baltas
    http://arxiv.org/abs/1907.04641v2

    • [cs.CV]Optimal Feature Transport for Cross-View Image Geo-Localization
    Yujiao Shi, Xin Yu, Liu Liu, Tong Zhang, Hongdong Li
    http://arxiv.org/abs/1907.05021v1

    • [cs.CV]Semi-supervised Feature-Level Attribute Manipulation for Fashion Image Retrieval
    Minchul Shin, Sanghyuk Park, Taeksoo Kim
    http://arxiv.org/abs/1907.05007v1

    • [cs.CV]Single Image Super-Resolution via CNN Architectures and TV-TV Minimization
    Marija Vella, João F. C. Mota
    http://arxiv.org/abs/1907.05380v1

    • [cs.CV]StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision
    Ankit Gupta
    http://arxiv.org/abs/1907.05358v1

    • [cs.CV]Two-stream Spatiotemporal Feature for Video QA Task
    Chiwan Song, Woobin Im, Sung-eui Yoon
    http://arxiv.org/abs/1907.05006v1

    • [cs.CY]Estimating Traffic Disruption Patterns with Volunteered Geographic Information
    Chico Q. Camargo, Jonathan Bright, Graham McNeill, Sridhar Raman, Scott A. Hale
    http://arxiv.org/abs/1907.05162v1

    • [cs.DC]A Study of Network Congestion in Two Supercomputing High-Speed Interconnects
    Saurabh Jha, Archit Patke, Jim Brandt, Ann Gentile, Mike Showerman, Eric Roman, Zbigniew T. Kalbarczyk, William T. Kramer, Ravishankar K. Iyer
    http://arxiv.org/abs/1907.05312v1

    • [cs.DC]StakeCube: Combining Sharding and Proof-of-Stake to build Fork-free Secure Permissionless Distributed Ledgers
    Antoine Durand, Emmanuelle Anceaume, Romaric Ludinard
    http://arxiv.org/abs/1907.05314v1

    • [cs.DS]Analysis of Ward’s Method
    Anna Großwendt, Heiko Röglin, Melanie Schmidt
    http://arxiv.org/abs/1907.05094v1

    • [cs.DS]Computational Concentration of Measure: Optimal Bounds, Reductions, and More
    Omid Etesami, Saeed Mahloujifar, Mohammad Mahmoody
    http://arxiv.org/abs/1907.05401v1

    • [cs.DS]Quantum and Classical Algorithms for Approximate Submodular Function Minimization
    Yassine Hamoudi, Patrick Rebentrost, Ansis Rosmanis, Miklos Santha
    http://arxiv.org/abs/1907.05378v1

    • [cs.DS]Walking Randomly, Massively, and Efficiently
    Jakub Łącki, Slobodan Mitrović, Krzysztof Onak, Piotr Sankowski
    http://arxiv.org/abs/1907.05391v1

    • [cs.GL]Kolmogorov complexity in the USSR (1975—1982): isolation and its end
    V. V. V’yugin
    http://arxiv.org/abs/1907.05056v1

    • [cs.HC]Belief places and spaces: Mapping cognitive environments
    Philip Feldman, Aaron Dant, Wayne Lutters
    http://arxiv.org/abs/1907.04191v2

    • [cs.IR]Featured Snippets Results in Google Web Search: An Exploratory Study
    Artur Strzelecki, Paulina Rutecka
    http://arxiv.org/abs/1907.04891v1

    • [cs.IR]Hierarchical Clustering Supported by Reciprocal Nearest Neighbors
    Wen-Bo Xie, Yan-Li Lee, Cong Wang, Duan-Bing Chen, Tao Zhou
    http://arxiv.org/abs/1907.04915v1

    • [cs.IR]Privileged Features Distillation for E-Commerce Recommendations
    Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Hanxiao Sun, Wenwu Ou
    http://arxiv.org/abs/1907.05171v1

    • [cs.IR]Productization Challenges of Contextual Multi-Armed Bandits
    David Abensur, Ivan Balashov, Shaked Bar, Ronny Lempel, Nurit Moscovici, Ilan Orlov, Danny Rosenstein, Ido Tamir
    http://arxiv.org/abs/1907.04884v1

    • [cs.IT]Computing sharp recovery structures for Locally Recoverable codes
    Irene Marquez-Corbella, Edgar Martinez-Moro, Carlos Munuera
    http://arxiv.org/abs/1907.05316v1

    • [cs.IT]Error Exponents for Asynchronous Multiple Access Channels. Controlled Asynchronism may Outperform Synchronism
    Lóránt Farkas, Tamás Kói
    http://arxiv.org/abs/1907.05139v1

    • [cs.IT]Information-Centric Grant-Free Access for IoT Fog Networks: Edge vs Cloud Detection and Learning
    Rahif Kassab, Osvaldo Simeone, Petar Popovski
    http://arxiv.org/abs/1907.05182v1

    • [cs.IT]Minimax Theorems for Finite Blocklength Lossy Joint Source-Channel Coding over an AVC
    Anuj S. Vora, Ankur A. Kulkarni
    http://arxiv.org/abs/1907.05324v1

    • [cs.IT]Recovery and Repair Schemes for Shift-XOR Regenerating Codes
    Ximing Fu, Shenghao Yang, Zhiqing Xiao
    http://arxiv.org/abs/1907.05058v1

    • [cs.IT]Timely Cloud Computing: Preemption and Waiting
    Ahmed Arafa, Roy D. Yates, H. Vincent Poor
    http://arxiv.org/abs/1907.05408v1

    • [cs.IT]Using Chinese Characters To Generate Text-Based Passwords For Information Security
    Bing Yao, Yarong Mu, Yirong Sun, Hui Sun, Xiaohui Zhang, Hongyu Wang, Jing Su, Mingjun Zhang, Sihua Yang, Meimei Zhao, Xiaomin Wang, Fei Ma, Ming Yao, Chao Yang, Jianming Xie
    http://arxiv.org/abs/1907.05406v1

    • [cs.LG]A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning
    Nicholas C. Landolfi, Garrett Thomas, Tengyu Ma
    http://arxiv.org/abs/1907.04964v1

    • [cs.LG]Amplifying Rényi Differential Privacy via Shuffling
    Eloïse Berthier, Sai Praneeth Karimireddy
    http://arxiv.org/abs/1907.05156v1

    • [cs.LG]Beyond Imitation: Generative and Variational Choreography via Machine Learning
    Mariel Pettee, Chase Shimmin, Douglas Duhaime, Ilya Vidrin
    http://arxiv.org/abs/1907.05297v1

    • [cs.LG]Explaining an increase in predicted risk for clinical alerts
    Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew Dai, Michael Howell, Greg Corrado, Claire Cui, Moritz Hardt
    http://arxiv.org/abs/1907.04911v1

    • [cs.LG]Fairness without Regret
    Marcus Hutter
    http://arxiv.org/abs/1907.05159v1

    • [cs.LG]Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
    Mathias Kraus, Stefan Feuerriegel
    http://arxiv.org/abs/1907.05146v1

    • [cs.LG]GraphSAINT: Graph Sampling Based Inductive Learning Method
    Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna
    http://arxiv.org/abs/1907.04931v1

    • [cs.LG]Identifying Linear Models in Multi-Resolution Population Data using Minimum Description Length Principle to Predict Household Income
    Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong
    http://arxiv.org/abs/1907.05234v1

    • [cs.LG]Interpretable Dynamics Models for Data-Efficient Reinforcement Learning
    Markus Kaiser, Clemens Otte, Thomas Runkler, Carl Henrik Ek
    http://arxiv.org/abs/1907.04902v1

    • [cs.LG]Making AI Forget You: Data Deletion in Machine Learning
    Antonio Ginart, Melody Guan, Gregory Valiant, James Zou
    http://arxiv.org/abs/1907.05012v1

    • [cs.LG]Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification
    Felix Batsch, Alireza Daneshkhah, Madeline Cheah, Stratis Kanarachos, Anthony Baxendale
    http://arxiv.org/abs/1907.05364v1

    • [cs.LG]Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders
    Helena Andrés-Terré, Pietro Lió
    http://arxiv.org/abs/1907.05267v1

    • [cs.LG]PreCall: A Visual Interface for Threshold Optimization in ML Model Selection
    Christoph Kinkeldey, Claudia Müller-Birn, Tom Gülenman, Jesse Josua Benjamin, Aaron Halfaker
    http://arxiv.org/abs/1907.05131v1

    • [cs.LG]Profiling based Out-of-core Hybrid Method for Large Neural Networks
    Yuki Ito, Haruki Imai, Tung Le Duc, Yasushi Negishi, Kiyokuni Kawachiya, Ryo Matsumiya, Toshio Endo
    http://arxiv.org/abs/1907.05013v1

    • [cs.LG]Provably Efficient Reinforcement Learning with Linear Function Approximation
    Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
    http://arxiv.org/abs/1907.05388v1

    • [cs.LG]Safe Policy Improvement with Soft Baseline Bootstrapping
    Kimia Nadjahi, Romain Laroche, Rémi Tachet des Combes
    http://arxiv.org/abs/1907.05079v1

    • [cs.LG]Spatiotemporal Local Propagation
    Alessandro Betti, Marco Gori
    http://arxiv.org/abs/1907.05106v1

    • [cs.LG]Time series cluster kernels to exploit informative missingness and incomplete label information
    Karl Øyvind Mikalsen, Cristina Soguero-Ruiz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
    http://arxiv.org/abs/1907.05251v1

    • [cs.LG]Time2Vec: Learning a Vector Representation of Time
    Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, Marcus Brubaker
    http://arxiv.org/abs/1907.05321v1

    • [cs.LG]Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
    Nima Dehmamy, Albert-László Barabási, Rose Yu
    http://arxiv.org/abs/1907.05008v1

    • [cs.LG]Variance-Based Risk Estimations in Markov Processes via Transformation with State Lumping
    Shuai Ma, Jia Yuan Yu
    http://arxiv.org/abs/1907.05231v1

    • [cs.LO]ADDMC: Exact Weighted Model Counting with Algebraic Decision Diagrams
    Jeffrey M. Dudek, Vu H. N. Phan, Moshe Y. Vardi
    http://arxiv.org/abs/1907.05000v1

    • [cs.MA]A Neural Architecture for Designing Truthful and Efficient Auctions
    Andrea Tacchetti, DJ Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach
    http://arxiv.org/abs/1907.05181v1

    • [cs.RO]A Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles
    Konstantinos Makantasis, Maria Kontorinaki, Ioannis Nikolos
    http://arxiv.org/abs/1907.05246v1

    • [cs.RO]A Resource-Aware Approach to Collaborative Loop Closure Detection with Provable Performance Guarantees
    Yulun Tian, Kasra Khosoussi, Jonathan P. How
    http://arxiv.org/abs/1907.04904v1

    • [cs.RO]Aerial Animal Biometrics: Individual Friesian Cattle Recovery and Visual Identification via an Autonomous UAV with Onboard Deep Inference
    William Andrew, Colin Greatwood, Tilo Burghardt
    http://arxiv.org/abs/1907.05310v1

    • [cs.RO]Incremental Semantic Mapping with Unsupervised On-line Learning
    Ygor C. N. Sousa, Hansenclever F. Bassani
    http://arxiv.org/abs/1907.04001v2

    • [cs.RO]Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction
    Weiming Zhi, Lionel Ott, Fabio Ramos
    http://arxiv.org/abs/1907.05127v1

    • [cs.RO]Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints
    Arbaaz Khan, Chi Zhang, Shuo Li, Jiayue Wu, Brent Schlotfeldt, Sarah Y. Tang, Alejandro Ribeiro, Osbert Bastani, Vijay Kumar
    http://arxiv.org/abs/1907.05300v1

    • [cs.RO]Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR
    Tarlan Suleymanov, Lars Kunze, Paul Newman
    http://arxiv.org/abs/1907.05375v1

    • [cs.SD]Explicitly Conditioned Melody Generation: A Case Study with Interdependent RNNs
    Benjamin Genchel, Ashis Pati, Alexander Lerch
    http://arxiv.org/abs/1907.05208v1

    • [cs.SD]LakhNES: Improving multi-instrumental music generation with cross-domain pre-training
    Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W. Cottrell, Julian McAuley
    http://arxiv.org/abs/1907.04868v1

    • [cs.SI]Evidential positive opinion influence measures for viral marketing
    Siwar Jendoubi, Arnaud Martin
    http://arxiv.org/abs/1907.05028v1

    • [eess.AS]Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition
    Khoi-Nguyen C. Mac, Xiaodong Cui, Wei Zhang, Michael Picheny
    http://arxiv.org/abs/1907.04887v1

    • [eess.IV]Assessing postural instability during cerebral hypoperfusion using sub-millimeter monocular 3D sway tracking
    Robert Amelard, Kevin R Murray, Eric T Hedge, Taylor W Cleworth, Mamiko Noguchi, Andrew Laing, Richard L Hughson
    http://arxiv.org/abs/1907.05376v1

    • [eess.IV]Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography
    Aleksei Tiulpin, Mikko Finnilä, Petri Lehenkari, Heikki J. Nieminen, Simo Saarakkala
    http://arxiv.org/abs/1907.05089v1

    • [eess.IV]Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre data
    Kanwal K. Bhatia, Mark S. Graham, Louise Terry, Ashley Wood, Paris Tranos, Sameer Trikha, Nicolas Jaccard
    http://arxiv.org/abs/1907.05164v1

    • [eess.IV]Edge Heuristic GAN for Non-uniform Blind Deblurring
    Shuai Zheng, Zhenfeng Zhu, Jian Cheng, Yandong Guo, Yao Zhao
    http://arxiv.org/abs/1907.05185v1

    • [eess.IV]Extension of Sinkhorn Method: Optimal Movement Estimation of Agents Moving at Constant Velocity
    Daigo Okada, Naotoshi Nakamura, Takuya Wada, Ayako Iwasaki, Ryo Yamada
    http://arxiv.org/abs/1907.05036v1

    • [eess.IV]retina-VAE: Variationally Decoding the Spectrum of Macular Disease
    Stephen G. Odaibo
    http://arxiv.org/abs/1907.05195v1

    • [eess.SP]Functional Brain Networks Discovery Using Dictionary Learning with Correlated Sparsity
    Mohsen Joneidi
    http://arxiv.org/abs/1907.03929v2

    • [eess.SP]Message passing-based link configuration in short range millimeter wave systems
    Nitin Jonathan Myers, Jarkko Kaleva, Antti Tölli, Robert W. Heath Jr
    http://arxiv.org/abs/1907.05009v1

    • [eess.SP]Neural Network-based Equalizer by Utilizing Coding Gain in Advance
    Chieh-Fang Teng, Han-Mo Ou, An-Yeu Wu
    http://arxiv.org/abs/1907.04980v1

    • [eess.SP]Terahertz Band: The Last Piece of RF Spectrum Puzzle for Communication Systems
    Hadeel Elayan, Osama Amin, Basem Shihada, Raed M. Shubair, Mohamed-Slim Alouini
    http://arxiv.org/abs/1907.05043v1

    • [eess.SP]Towards a Connected Sky: Performance of Beamforming with Down-tilted Antennas for Ground and UAV User Co-existence
    Ramy Amer, Walid Saad, Nicola Marchetti
    http://arxiv.org/abs/1907.05085v1

    • [math.FA]Super-resolution meets machine learning: approximation of measures
    H. N. Mhaskar
    http://arxiv.org/abs/1907.04895v1

    • [math.NA]Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles
    Nir Sharon, Joe Kileel, Yuehaw Khoo, Boris Landa, Amit Singer
    http://arxiv.org/abs/1907.05377v1

    • [math.NA]Three algorithms for solving high-dimensional fully-coupled FBSDEs through deep learning
    Shaolin Ji, Shige Peng, Ying Peng, Xichuan Zhang
    http://arxiv.org/abs/1907.05327v1

    • [math.OC]Adaptive Deep Learning for High Dimensional Hamilton-Jacobi-Bellman Equations
    Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang
    http://arxiv.org/abs/1907.05317v1

    • [math.OC]Statistical inference for piecewise normal distributions and stochastic variational inequalities
    Shu Lu, Hongsheng Liu
    http://arxiv.org/abs/1907.05353v1

    • [math.ST]Directing Power Towards Sub-Alternatives
    Nick Koning
    http://arxiv.org/abs/1907.05077v1

    • [math.ST]Estimating the division rate from indirect measurements of single cells
    Marie Doumic, Adélaïde Olivier, Lydia Robert
    http://arxiv.org/abs/1907.05108v1

    • [math.ST]Nonparametric estimation of the conditional density function with right-censored and dependent data
    Xianzhu Xiong, Meijuan Ou
    http://arxiv.org/abs/1907.04956v1

    • [q-bio.QM]Warfarin dose estimation on multiple datasets with automated hyperparameter optimisation and a novel software framework
    Gianluca Truda, Patrick Marais
    http://arxiv.org/abs/1907.05363v1

    • [quant-ph]Highly parallel algorithm for the Ising ground state searching problem
    A. Yavorsky, L. A. Markovich, E. A. Polyakov, A. N. Rubtsov
    http://arxiv.org/abs/1907.05124v1

    • [quant-ph]Learning to learn with quantum neural networks via classical neural networks
    Guillaume Verdon, Michael Broughton, Jarrod R. McClean, Kevin J. Sung, Ryan Babbush, Zhang Jiang, Hartmut Neven, Masoud Mohseni
    http://arxiv.org/abs/1907.05415v1

    • [quant-ph]Machine Learning Kernel Method from a Quantum Generative Model
    Przemysław Sadowski
    http://arxiv.org/abs/1907.05103v1

    • [stat.AP]Fitting Prediction Rule Ensembles to Psychological Research Data: An Introduction and Tutorial
    Marjolein Fokkema, Carolin Strobl
    http://arxiv.org/abs/1907.05302v1

    • [stat.AP]The HOG-FDA Approach with Mobile Phone Data to Modeling the Dynamic of People’s Presences in the City
    Rodolfo Metulini, Maurizio Carpita
    http://arxiv.org/abs/1907.05026v1

    • [stat.AP]The acute:chronic workload ratio: challenges and prospects for improvement
    Chinchin Wang, Jorge Trejo Vargas, Tyrel Stokes, Russell Steele, Ian Shrier
    http://arxiv.org/abs/1907.05326v1

    • [stat.ML]Change point detection for graphical models in presence of missing values
    Malte Londschien, Solt Kovács, Peter Bühlmann
    http://arxiv.org/abs/1907.05409v1

    • [stat.ML]Gain with no Pain: Efficient Kernel-PCA by Nyström Sampling
    Nicholas Sterge, Bharath Sriperumbudur, Lorenzo Rosasco, Alessandro Rudi
    http://arxiv.org/abs/1907.05226v1

    • [stat.ML]Low-rank matrix completion and denoising under Poisson noise
    Andrew D. McRae, Mark A. Davenport
    http://arxiv.org/abs/1907.05325v1

    • [stat.ML]Multivariate Time Series Imputation with Variational Autoencoders
    Vincent Fortuin, Gunnar Rätsch, Stephan Mandt
    http://arxiv.org/abs/1907.04155v2