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.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math-ph - 数学物理 math.CO - 组合数学 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.app-ph - 应用物理 physics.soc-ph - 物理学与社会 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]CLaRO: a Data-driven CNL for Specifying Competency Questions
    • [cs.CL]Almawave-SLU: A new dataset for SLU in Italian
    • [cs.CL]Differentiable Disentanglement Filter: an Application Agnostic Core Concept Discovery Probe
    • [cs.CL]Fake News Detection as Natural Language Inference
    • [cs.CL]Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs
    • [cs.CL]Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use
    • [cs.CL]Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
    • [cs.CL]Probing Neural Network Comprehension of Natural Language Arguments
    • [cs.CL]STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings
    • [cs.CL]SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking
    • [cs.CL]You Write Like You Eat: Stylistic variation as a predictor of social stratification
    • [cs.CR]Decentralized & Collaborative AI on Blockchain
    • [cs.CR]Dynamic Malware Analysis with Feature Engineering and Feature Learning
    • [cs.CR]Helen: Maliciously Secure Coopetitive Learning for Linear Models
    • [cs.CR]Real-time Evasion Attacks with Physical Constraints on Deep Learning-based Anomaly Detectors in Industrial Control Systems
    • [cs.CV]A Link Between the Multiplicative and Additive Functional Asplund’s Metrics
    • [cs.CV]AVDNet: A Small-Sized Vehicle Detection Network for Aerial Visual Data
    • [cs.CV]Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
    • [cs.CV]Deep Metric Learning with Alternating Projections onto Feasible Sets
    • [cs.CV]FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition
    • [cs.CV]Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning
    • [cs.CV]Multi-Adapter RGBT Tracking
    • [cs.CV]News Cover Assessment via Multi-task Learning
    • [cs.CV]OGNet: Salient Object Detection with Output-guided Attention Module
    • [cs.CV]Real-time Vision-based Depth Reconstruction with NVidia Jetson
    • [cs.CV]Relation Network for Multi-label Aerial Image Classification
    • [cs.CV]Robustness properties of Facebook’s ResNeXt WSL models
    • [cs.CV]Scene Motion Decomposition for Learnable Visual Odometry
    • [cs.CV]Style Transfer Applied to Face Liveness Detection with User-Centered Models
    • [cs.CV]Towards Data-Driven Automatic Video Editing
    • [cs.CV]Towards Markerless Grasp Capture
    • [cs.CV]Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation
    • [cs.CY]Canada Protocol: an ethical checklist for the use of Artificial Intelligence in Suicide Prevention and Mental Health
    • [cs.CY]Inferring Tracker-Advertiser Relationships in the Online Advertising Ecosystem using Header Bidding
    • [cs.CY]Truck Traffic Monitoring with Satellite Images
    • [cs.DC]$\texttt{DeepSqueeze}$: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression
    • [cs.DC]Partitioning Graphs for the Cloud using Reinforcement Learning
    • [cs.DS]Seedless Graph Matching via Tail of Degree Distribution for Correlated Erdos-Renyi Graphs
    • [cs.GR]RayTracer.jl: A Differentiable Renderer that supports Parameter Optimization for Scene Reconstruction
    • [cs.HC]Conversational Help for Task Completion and Feature Discovery in Personal Assistants
    • [cs.HC]End-To-End Prediction of Emotion From Heartbeat Data Collected by a Consumer Fitness Tracker
    • [cs.HC]Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics
    • [cs.HC]MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation
    • [cs.IR]Leveraging Linguistic Characteristics for Bipolar Disorder Recognition with Gender Differences
    • [cs.IR]On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems
    • [cs.IR]The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search
    • [cs.IR]Unbiased Learning to Rank: Counterfactual and Online Approaches
    • [cs.IT]A Note on Linear Complementary Pairs of Group Codes
    • [cs.IT]Inference-Based Resource Allocation for Multi-Cell Backscatter Sensor Networks
    • [cs.IT]Leveraging online learning for CSS in frugal IoT network
    • [cs.IT]Multi-Antenna Covert Communications with Random Access Protocol
    • [cs.IT]Optimal Energy Allocation and Task Offloading Policy for Wireless Powered Mobile Edge Computing Systems
    • [cs.IT]Privacy-Aware Location Sharing with Deep Reinforcement Learning
    • [cs.IT]Scalar Quantizer Design for Two-Way Channels
    • [cs.IT]Scheduling to Minimize Age of Synchronization in Wireless Broadcast Networks with Random Updates
    • [cs.IT]Sparse Subspace Clustering via Two-Step Reweighted L1-Minimization: Algorithm and Provable Neighbor Recovery Rates
    • [cs.LG]$t$-$k$-means: A $k$-means Variant with Robustness and Stability
    • [cs.LG]A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
    • [cs.LG]Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods
    • [cs.LG]An Embedding Framework for Consistent Polyhedral Surrogates
    • [cs.LG]An Inductive Synthesis Framework for Verifiable Reinforcement Learning
    • [cs.LG]AquaSight: Automatic Water Impurity Detection Utilizing Convolutional Neural Networks
    • [cs.LG]Block based Singular Value Decomposition approach to matrix factorization for recommender systems
    • [cs.LG]DeepTrax: Embedding Graphs of Financial Transactions
    • [cs.LG]FAHT: An Adaptive Fairness-aware Decision Tree Classifier
    • [cs.LG]Fairness-enhancing interventions in stream classification
    • [cs.LG]Feature Selection via Mutual Information: New Theoretical Insights
    • [cs.LG]Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning
    • [cs.LG]Improving Outbreak Detection with Stacking of Statistical Surveillance Methods
    • [cs.LG]Learnability for the Information Bottleneck
    • [cs.LG]Learning Multimodal Fixed-Point Weights using Gradient Descent
    • [cs.LG]Low-Shot Classification: A Comparison of Classical and Deep Transfer Machine Learning Approaches
    • [cs.LG]Mitigating Uncertainty in Document Classification
    • [cs.LG]Online Local Boosting: improving performance in online decision trees
    • [cs.LG]PPO Dash: Improving Generalization in Deep Reinforcement Learning
    • [cs.LG]Remaining Useful Lifetime Prediction via Deep Domain Adaptation
    • [cs.LG]Self-Attentive Hawkes Processes
    • [cs.LG]Subspace Inference for Bayesian Deep Learning
    • [cs.LG]Towards Understanding Generalization in Gradient-Based Meta-Learning
    • [cs.NE]Iterative temporal differencing with random synaptic feedback weights support error backpropagation for deep learning
    • [cs.NE]Machine Learning based Simulation Optimisation for Trailer Management
    • [cs.NI]Achieving Ultra-Reliable Communication via CRAN-Enabled Diversity Schemes
    • [cs.NI]Caching as an Image Characterization Problem using Deep Convolutional Neural Networks
    • [cs.NI]Energy-Efficient Power Control of Train-ground mmWave Communication for High Speed Trains
    • [cs.PL]Zygote: A Differentiable Programming System to Bridge Machine Learning and Scientific Computing
    • [cs.RO]A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos
    • [cs.RO]Cooperative UAVs Gas Monitoring using Distributed Consensus
    • [cs.RO]Edge Detection for Event Cameras using Intra-pixel-area Events
    • [cs.RO]Evaluation of a 1-DOF Hand Exoskeleton for Neuromuscular Rehabilitation
    • [cs.RO]Fly Safe: Aerial Swarm Robotics using Force Field Particle Swarm Optimisation
    • [cs.RO]Learning Variable Impedance Control for Contact Sensitive Tasks
    • [cs.RO]Leveraging Experience in Lazy Search
    • [cs.RO]Stereo Event Lifetime and Disparity Estimation for Dynamic Vision Sensors
    • [cs.RO]Stochastic Optimization for Trajectory Planning with Heteroscedastic Gaussian Processes
    • [cs.RO]Tactile Model O: Fabrication and testing of a 3d-printed, three-fingered tactile robot hand
    • [cs.RO]Towards Blockchain-based Multi-Agent Robotic Systems: Analysis, Classification and Applications
    • [cs.RO]Understanding Teacher Gaze Patterns for Robot Learning
    • [cs.SE]The General Data Protection Regulation: Requirements, Architectures, and Constraints
    • [cs.SI]Computational Human Dynamics
    • [cs.SI]DeepNC: Deep Generative Network Completion
    • [cs.SI]Fairness and Diversity in the Recommendation and Ranking of Participatory Media Content
    • [cs.SI]Homophily as a process generating social networks: insights from Social Distance Attachment model
    • [cs.SI]Modeling Human Annotation Errors to Design Bias-Aware Systems for Social Stream Processing
    • [cs.SI]Relevancy Classification of Multimodal Social Media Streams for Emergency Services
    • [cs.SI]Towards Reliable Online Clickbait Video Detection: A Content-Agnostic Approach
    • [econ.EM]Consistency and matching without replacement
    • [eess.AS]AP19-OLR Challenge: Three Tasks and Their Baselines
    • [eess.IV]CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke
    • [eess.IV]Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs
    • [eess.SP]A Neural Network Detector for Spectrum Sensing under Uncertainties
    • [eess.SP]Comparison of Neural Network Architectures for Spectrum Sensing
    • [eess.SP]Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks
    • [eess.SP]Deep learning scheme for microwave photonic analog broadband signal recovery
    • [eess.SP]Near-Field Joint Localization and Synchronization
    • [math-ph]Distribution of the ratio of two consecutive level spacings in orthogonal to unitary crossover ensembles
    • [math.CO]Tangles in the social sciences
    • [math.OC]Dynamic optimization with side information
    • [math.OC]Feature-driven Improvement of Renewable Energy Forecasting and Trading
    • [math.PR]On the cut-off phenomenon for the maximum of a sampling of Ornstein-Uhlenbeck processes
    • [math.PR]On the geometry of polytopes generated by heavy-tailed random vectors
    • [math.ST]What is… a Markov basis?
    • [physics.app-ph]Noise Analysis of Photonic Modulator Neurons
    • [physics.soc-ph]Constructions and properties of a class of random scale-free networks
    • [quant-ph]Photonic architecture for reinforcement learning
    • [stat.AP]Self Organizing Supply Chains for Micro-Prediction: Present and Future uses of the ROAR Protocol
    • [stat.AP]Spherical data handling and analysis with R package rcosmo
    • [stat.ME]A Multivariate Extreme Value Theory Approach to Anomaly Clustering and Visualization
    • [stat.ME]Assessing Treatment Effect Variation in Observational Studies: Results from a Data Challenge
    • [stat.ME]Factor copula models for mixed data
    • [stat.ME]Optimal Sampling for Generalized Linear Models under Measurement Constraints
    • [stat.ME]Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics
    • [stat.ML]Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
    • [stat.ML]Clustering Activity-Travel Behavior Time Series using Topological Data Analysis
    • [stat.ML]Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples

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    • [cs.AI]CLaRO: a Data-driven CNL for Specifying Competency Questions
    C. Maria Keet, Zola Mahlaza, Mary-Jane Antia
    http://arxiv.org/abs/1907.07378v1

    • [cs.CL]Almawave-SLU: A new dataset for SLU in Italian
    Valentina Bellomaria, Giuseppe Castellucci, Andrea Favalli, Raniero Romagnoli
    http://arxiv.org/abs/1907.07526v1

    • [cs.CL]Differentiable Disentanglement Filter: an Application Agnostic Core Concept Discovery Probe
    Guntis Barzdins, Eduards Sidorovics
    http://arxiv.org/abs/1907.07507v1

    • [cs.CL]Fake News Detection as Natural Language Inference
    Kai-Chou Yang, Timothy Niven, Hung-Yu Kao
    http://arxiv.org/abs/1907.07347v1

    • [cs.CL]Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs
    Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa, Isura Manchanayake, Malaka J. Walpola, Rashmika Nawaratne, Tharindu Bandaragoda, Damminda Alahakoon
    http://arxiv.org/abs/1907.07653v1

    • [cs.CL]Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use
    Janarthanan Rajendran, Jatin Ganhotra, Lazaros Polymenakos
    http://arxiv.org/abs/1907.07638v1

    • [cs.CL]Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
    Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan, Jiajun Chen
    http://arxiv.org/abs/1907.07328v1

    • [cs.CL]Probing Neural Network Comprehension of Natural Language Arguments
    Timothy Niven, Hung-Yu Kao
    http://arxiv.org/abs/1907.07355v1

    • [cs.CL]STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings
    Léo Bouscarrat, Antoine Bonnefoy, Thomas Peel, Cécile Pereira
    http://arxiv.org/abs/1907.07323v1

    • [cs.CL]SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking
    Hwaran Lee, Jinsik Lee, Tae-Yoon Kim
    http://arxiv.org/abs/1907.07421v1

    • [cs.CL]You Write Like You Eat: Stylistic variation as a predictor of social stratification
    Angelo Basile, Albert Gatt, Malvina Nissim
    http://arxiv.org/abs/1907.07265v1

    • [cs.CR]Decentralized & Collaborative AI on Blockchain
    Justin D. Harris, Bo Waggoner
    http://arxiv.org/abs/1907.07247v1

    • [cs.CR]Dynamic Malware Analysis with Feature Engineering and Feature Learning
    Zhaoqi Zhang, Panpan Qi, Wei Wang
    http://arxiv.org/abs/1907.07352v1

    • [cs.CR]Helen: Maliciously Secure Coopetitive Learning for Linear Models
    Wenting Zheng, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica
    http://arxiv.org/abs/1907.07212v1

    • [cs.CR]Real-time Evasion Attacks with Physical Constraints on Deep Learning-based Anomaly Detectors in Industrial Control Systems
    Alessandro Erba, Riccardo Taormina, Stefano Galelli, Marcello Pogliani, Michele Carminati, Stefano Zanero, Nils Ole Tippenhauer
    http://arxiv.org/abs/1907.07487v1

    • [cs.CV]A Link Between the Multiplicative and Additive Functional Asplund’s Metrics
    Guillaume Noyel
    http://arxiv.org/abs/1907.07509v1

    • [cs.CV]AVDNet: A Small-Sized Vehicle Detection Network for Aerial Visual Data
    Murari Mandal, Manal Shah, Prashant Meena, Sanhita Devi, Santosh Kumar Vipparthi
    http://arxiv.org/abs/1907.07477v1

    • [cs.CV]Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
    Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S. Ecker, Matthias Bethge, Wieland Brendel
    http://arxiv.org/abs/1907.07484v1

    • [cs.CV]Deep Metric Learning with Alternating Projections onto Feasible Sets
    Oğul Can, Yeti Ziya Gürbüz, A. Aydın Alatan
    http://arxiv.org/abs/1907.07585v1

    • [cs.CV]FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition
    Hongje Seong, Junhyuk Hyun, Euntai Kim
    http://arxiv.org/abs/1907.07570v1

    • [cs.CV]Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning
    Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia
    http://arxiv.org/abs/1907.07319v1

    • [cs.CV]Multi-Adapter RGBT Tracking
    Chenglong Li, Andong Lu, Aihua Zheng, Zhengzheng Tu, Jin Tang
    http://arxiv.org/abs/1907.07485v1

    • [cs.CV]News Cover Assessment via Multi-task Learning
    Zixun Sun, Shuang Zhao, Chengwei Zhu, Xiao Chen
    http://arxiv.org/abs/1907.07581v1

    • [cs.CV]OGNet: Salient Object Detection with Output-guided Attention Module
    Shiping Zhu, Lanyun Zhu
    http://arxiv.org/abs/1907.07449v1

    • [cs.CV]Real-time Vision-based Depth Reconstruction with NVidia Jetson
    Andrey Bokovoy, Kirill Muravyev, Konstantin Yakovlev
    http://arxiv.org/abs/1907.07210v1

    • [cs.CV]Relation Network for Multi-label Aerial Image Classification
    Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu
    http://arxiv.org/abs/1907.07274v1

    • [cs.CV]Robustness properties of Facebook’s ResNeXt WSL models
    A. Emin Orhan
    http://arxiv.org/abs/1907.07640v1

    • [cs.CV]Scene Motion Decomposition for Learnable Visual Odometry
    Igor Slinko, Anna Vorontsova, Filipp Konokhov, Olga Barinova, Anton Konushin
    http://arxiv.org/abs/1907.07227v1

    • [cs.CV]Style Transfer Applied to Face Liveness Detection with User-Centered Models
    Israel A. Laurensi R., Luciana T. Menon, Manoel Camillo O. Penna N., Alessandro L. Koerich, Alceu S. Britto Jr
    http://arxiv.org/abs/1907.07270v1

    • [cs.CV]Towards Data-Driven Automatic Video Editing
    Sergey Podlesnyy
    http://arxiv.org/abs/1907.07345v1

    • [cs.CV]Towards Markerless Grasp Capture
    Samarth Brahmbhatt, Charles C. Kemp, James Hays
    http://arxiv.org/abs/1907.07388v1

    • [cs.CV]Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation
    Risheng Liu, Long Ma, Yuxi Zhang, Xin Fan, Zhongxuan Luo
    http://arxiv.org/abs/1907.07408v1

    • [cs.CY]Canada Protocol: an ethical checklist for the use of Artificial Intelligence in Suicide Prevention and Mental Health
    Carl-Maria Mörch, Abhishek Gupta, Brian L. Mishara
    http://arxiv.org/abs/1907.07493v1

    • [cs.CY]Inferring Tracker-Advertiser Relationships in the Online Advertising Ecosystem using Header Bidding
    John Cook, Rishab Nithyanand, Zubair Shafiq
    http://arxiv.org/abs/1907.07275v1

    • [cs.CY]Truck Traffic Monitoring with Satellite Images
    Lynn H. Kaack, George H. Chen, M. Granger Morgan
    http://arxiv.org/abs/1907.07660v1

    • [cs.DC]$\texttt{DeepSqueeze}$: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression
    Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu
    http://arxiv.org/abs/1907.07346v1

    • [cs.DC]Partitioning Graphs for the Cloud using Reinforcement Learning
    Mohammad Hasanzadeh Mofrad, Rami Melhem, Mohammad Hammoud
    http://arxiv.org/abs/1907.06768v2

    • [cs.DS]Seedless Graph Matching via Tail of Degree Distribution for Correlated Erdos-Renyi Graphs
    Mahdi Bozorg, Saber Salehkaleybar, Matin Hashemi
    http://arxiv.org/abs/1907.06334v2

    • [cs.GR]RayTracer.jl: A Differentiable Renderer that supports Parameter Optimization for Scene Reconstruction
    Avik Pal
    http://arxiv.org/abs/1907.07198v1

    • [cs.HC]Conversational Help for Task Completion and Feature Discovery in Personal Assistants
    Madan Gopal Jhawar, Vipindeep Vangala, Nishchay Sharma, Ankur Hayatnagarkar, Mansi Saxena, Swati Valecha
    http://arxiv.org/abs/1907.07564v1

    • [cs.HC]End-To-End Prediction of Emotion From Heartbeat Data Collected by a Consumer Fitness Tracker
    Ross Harper, Joshua Southern
    http://arxiv.org/abs/1907.07327v1

    • [cs.HC]Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics
    Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski
    http://arxiv.org/abs/1907.07296v1

    • [cs.HC]MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation
    Thomas Searle, Zeljko Kraljevic, Rebecca Bendayan, Daniel Bean, Richard Dobson
    http://arxiv.org/abs/1907.07322v1

    • [cs.IR]Leveraging Linguistic Characteristics for Bipolar Disorder Recognition with Gender Differences
    Yen-Hao Huang, Yi-Hsin Chen, Fernando Henrique Calderon Alvarado, Ssu-Rui Lee, Shu-I Wu, Yuwen Lai, Yi-Shin Chen
    http://arxiv.org/abs/1907.07366v1

    • [cs.IR]On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems
    Gabriel de Souza P. Moreira, Dietmar Jannach, Adilson Marques da Cunha
    http://arxiv.org/abs/1907.07629v1

    • [cs.IR]The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search
    Martin Aumüller, Matteo Ceccarello
    http://arxiv.org/abs/1907.07387v1

    • [cs.IR]Unbiased Learning to Rank: Counterfactual and Online Approaches
    Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
    http://arxiv.org/abs/1907.07260v1

    • [cs.IT]A Note on Linear Complementary Pairs of Group Codes
    Martino Borello, Javier de la Cruz, Wolfgang Willems
    http://arxiv.org/abs/1907.07506v1

    • [cs.IT]Inference-Based Resource Allocation for Multi-Cell Backscatter Sensor Networks
    Panos N. Alevizos, Aggelos Bletsas
    http://arxiv.org/abs/1907.07251v1

    • [cs.IT]Leveraging online learning for CSS in frugal IoT network
    Nancy Nayak, Vishnu Raj, Sheetal Kalyani
    http://arxiv.org/abs/1907.07201v1

    • [cs.IT]Multi-Antenna Covert Communications with Random Access Protocol
    Weile Zhang, Nan Zhao, Shun Zhang, F. Richard Yu
    http://arxiv.org/abs/1907.07481v1

    • [cs.IT]Optimal Energy Allocation and Task Offloading Policy for Wireless Powered Mobile Edge Computing Systems
    Feng Wang, Jie Xu, Shuguang Cui
    http://arxiv.org/abs/1907.07565v1

    • [cs.IT]Privacy-Aware Location Sharing with Deep Reinforcement Learning
    Ecenaz Erdemir, Pier Luigi Dragotti, Deniz Gunduz
    http://arxiv.org/abs/1907.07606v1

    • [cs.IT]Scalar Quantizer Design for Two-Way Channels
    Saeed Rezazadeh, Fady Alajaji, Wai-Yip Chan
    http://arxiv.org/abs/1907.07269v1

    • [cs.IT]Scheduling to Minimize Age of Synchronization in Wireless Broadcast Networks with Random Updates
    Haoyue Tang, Jintao Wang, Zihan Tang, Jian Song
    http://arxiv.org/abs/1907.07380v1

    • [cs.IT]Sparse Subspace Clustering via Two-Step Reweighted L1-Minimization: Algorithm and Provable Neighbor Recovery Rates
    Jwo-Yuh Wu, Liang-Chi Huang, Ming-Hsun Yang, Chun-Hung Liu
    http://arxiv.org/abs/1907.07359v1

    • [cs.LG]$t$-$k$-means: A $k$-means Variant with Robustness and Stability
    Yang Zhang, Qingtao Tang, Yiming Li, Weipeng Huang, Shutao Xia
    http://arxiv.org/abs/1907.07442v1

    • [cs.LG]A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
    Erico Tjoa, Cuntai Guan
    http://arxiv.org/abs/1907.07374v1

    • [cs.LG]Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods
    Arif Siddiqi
    http://arxiv.org/abs/1907.07291v1

    • [cs.LG]An Embedding Framework for Consistent Polyhedral Surrogates
    Jessie Finocchiaro, Rafael Frongillo, Bo Waggoner
    http://arxiv.org/abs/1907.07330v1

    • [cs.LG]An Inductive Synthesis Framework for Verifiable Reinforcement Learning
    He Zhu, Zikang Xiong, Stephen Magill, Suresh Jagannathan
    http://arxiv.org/abs/1907.07273v1

    • [cs.LG]AquaSight: Automatic Water Impurity Detection Utilizing Convolutional Neural Networks
    Ankit Gupta, Elliott Ruebush
    http://arxiv.org/abs/1907.07573v1

    • [cs.LG]Block based Singular Value Decomposition approach to matrix factorization for recommender systems
    Prasad Bhavana, Vikas Kumar, Vineet Padmanabhan
    http://arxiv.org/abs/1907.07410v1

    • [cs.LG]DeepTrax: Embedding Graphs of Financial Transactions
    C. Bayan Bruss, Anish Khazane, Jonathan Rider, Richard Serpe, Antonia Gogoglou, Keegan E. Hines
    http://arxiv.org/abs/1907.07225v1

    • [cs.LG]FAHT: An Adaptive Fairness-aware Decision Tree Classifier
    Wenbin Zhang, Eirini Ntoutsi
    http://arxiv.org/abs/1907.07237v1

    • [cs.LG]Fairness-enhancing interventions in stream classification
    Vasileios Iosifidis, Thi Ngoc Han Tran, Eirini Ntoutsi
    http://arxiv.org/abs/1907.07223v1

    • [cs.LG]Feature Selection via Mutual Information: New Theoretical Insights
    Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni, Marcello Restelli
    http://arxiv.org/abs/1907.07384v1

    • [cs.LG]Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning
    Martin Maritsch, Caterina Bérubé, Mathias Kraus, Vera Lehmann, Thomas Züger, Stefan Feuerriegel, Tobias Kowatsch, Felix Wortmann
    http://arxiv.org/abs/1907.07496v1

    • [cs.LG]Improving Outbreak Detection with Stacking of Statistical Surveillance Methods
    Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
    http://arxiv.org/abs/1907.07464v1

    • [cs.LG]Learnability for the Information Bottleneck
    Tailin Wu, Ian Fischer, Isaac L. Chuang, Max Tegmark
    http://arxiv.org/abs/1907.07331v1

    • [cs.LG]Learning Multimodal Fixed-Point Weights using Gradient Descent
    Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard
    http://arxiv.org/abs/1907.07220v1

    • [cs.LG]Low-Shot Classification: A Comparison of Classical and Deep Transfer Machine Learning Approaches
    Peter Usherwood, Steven Smit
    http://arxiv.org/abs/1907.07543v1

    • [cs.LG]Mitigating Uncertainty in Document Classification
    Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan
    http://arxiv.org/abs/1907.07590v1

    • [cs.LG]Online Local Boosting: improving performance in online decision trees
    Victor G. Turrisi da Costa, Saulo Martiello Mastelini, André C. Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Jr
    http://arxiv.org/abs/1907.07207v1

    • [cs.LG]PPO Dash: Improving Generalization in Deep Reinforcement Learning
    Joe Booth
    http://arxiv.org/abs/1907.06704v2

    • [cs.LG]Remaining Useful Lifetime Prediction via Deep Domain Adaptation
    Paulo R. de O. da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak
    http://arxiv.org/abs/1907.07480v1

    • [cs.LG]Self-Attentive Hawkes Processes
    Qiang Zhang, Aldo Lipani, Omer Kirnap, Emine Yilmaz
    http://arxiv.org/abs/1907.07561v1

    • [cs.LG]Subspace Inference for Bayesian Deep Learning
    Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry Vetrov, Andrew Gordon Wilson
    http://arxiv.org/abs/1907.07504v1

    • [cs.LG]Towards Understanding Generalization in Gradient-Based Meta-Learning
    Simon Guiroy, Vikas Verma, Christopher Pal
    http://arxiv.org/abs/1907.07287v1

    • [cs.NE]Iterative temporal differencing with random synaptic feedback weights support error backpropagation for deep learning
    Aras R. Dargazany
    http://arxiv.org/abs/1907.07255v1

    • [cs.NE]Machine Learning based Simulation Optimisation for Trailer Management
    Dylan Rijnen, Jason Rhuggenaath, Paulo R. de O. da Costa, Yingqian Zhang
    http://arxiv.org/abs/1907.07568v1

    • [cs.NI]Achieving Ultra-Reliable Communication via CRAN-Enabled Diversity Schemes
    Binod Kharel, Onel L. Alcaraz López, Hirley Alves, Matti Latva-aho
    http://arxiv.org/abs/1907.07476v1

    • [cs.NI]Caching as an Image Characterization Problem using Deep Convolutional Neural Networks
    Yantong Wang, Vasilis Friderikos
    http://arxiv.org/abs/1907.07263v1

    • [cs.NI]Energy-Efficient Power Control of Train-ground mmWave Communication for High Speed Trains
    Lei Wang, Bo Ai, Yong Niu, Xia Chen, Pan Hui
    http://arxiv.org/abs/1907.07427v1

    • [cs.PL]Zygote: A Differentiable Programming System to Bridge Machine Learning and Scientific Computing
    Mike Innes, Alan Edelman, Keno Fischer, Chris Rackauckus, Elliot Saba, Viral B Shah, Will Tebbutt
    http://arxiv.org/abs/1907.07587v1

    • [cs.RO]A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos
    Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao
    http://arxiv.org/abs/1907.07315v1

    • [cs.RO]Cooperative UAVs Gas Monitoring using Distributed Consensus
    Daniele Facinelli, Matteo Larcher, Davide Brunelli, Daniele Fontanelli
    http://arxiv.org/abs/1907.07279v1

    • [cs.RO]Edge Detection for Event Cameras using Intra-pixel-area Events
    Sangil Lee, Haram Kim, H. Jin Kim
    http://arxiv.org/abs/1907.07469v1

    • [cs.RO]Evaluation of a 1-DOF Hand Exoskeleton for Neuromuscular Rehabilitation
    Xinalian Zhou, Ashley Mont, Sergei Adamovich
    http://arxiv.org/abs/1907.07311v1

    • [cs.RO]Fly Safe: Aerial Swarm Robotics using Force Field Particle Swarm Optimisation
    Lauren Parker, James Butterworth, Shan Luo
    http://arxiv.org/abs/1907.07647v1

    • [cs.RO]Learning Variable Impedance Control for Contact Sensitive Tasks
    Miroslav Bogdanovic, Majid Khadiv, Ludovic Righetti
    http://arxiv.org/abs/1907.07500v1

    • [cs.RO]Leveraging Experience in Lazy Search
    Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha Srinivasa
    http://arxiv.org/abs/1907.07238v1

    • [cs.RO]Stereo Event Lifetime and Disparity Estimation for Dynamic Vision Sensors
    Antea Hadviger, Ivan Marković, Ivan Petrović
    http://arxiv.org/abs/1907.07518v1

    • [cs.RO]Stochastic Optimization for Trajectory Planning with Heteroscedastic Gaussian Processes
    Luka Petrović, Juraj Peršić, Marija Seder, Ivan Marković
    http://arxiv.org/abs/1907.07521v1

    • [cs.RO]Tactile Model O: Fabrication and testing of a 3d-printed, three-fingered tactile robot hand
    Alex Church, Jasper James, Luke Cramphorn, Nathan Lepora
    http://arxiv.org/abs/1907.07535v1

    • [cs.RO]Towards Blockchain-based Multi-Agent Robotic Systems: Analysis, Classification and Applications
    Ilya Afanasyev, Alexander Kolotov, Ruslan Rezin, Konstantin Danilov, Manuel Mazzara, Subham Chakraborty, Alexey Kashevnik, Andrey Chechulin, Aleksandr Kapitonov, Vladimir Jotsov, Andon Topalov, Nikola Shakev, Sevil Ahmed
    http://arxiv.org/abs/1907.07433v1

    • [cs.RO]Understanding Teacher Gaze Patterns for Robot Learning
    Akanksha Saran, Elaine Schaertl Short, Andrea Thomaz, Scott Niekum
    http://arxiv.org/abs/1907.07202v1

    • [cs.SE]The General Data Protection Regulation: Requirements, Architectures, and Constraints
    Kalle Hjerppe, Jukka Ruohonen, Ville Leppänen
    http://arxiv.org/abs/1907.07498v1

    • [cs.SI]Computational Human Dynamics
    Márton Karsai
    http://arxiv.org/abs/1907.07475v1

    • [cs.SI]DeepNC: Deep Generative Network Completion
    Cong Tran, Won-Yong Shin, Andreas Spitz, Michael Gertz
    http://arxiv.org/abs/1907.07381v1

    • [cs.SI]Fairness and Diversity in the Recommendation and Ranking of Participatory Media Content
    Muskaan, Mehak Preet Dhaliwal, Aaditeshwar Seth
    http://arxiv.org/abs/1907.07253v1

    • [cs.SI]Homophily as a process generating social networks: insights from Social Distance Attachment model
    Szymon Talaga, Andrzej Nowak
    http://arxiv.org/abs/1907.07055v2

    • [cs.SI]Modeling Human Annotation Errors to Design Bias-Aware Systems for Social Stream Processing
    Rahul Pandey, Carlos Castillo, Hemant Purohit
    http://arxiv.org/abs/1907.07228v1

    • [cs.SI]Relevancy Classification of Multimodal Social Media Streams for Emergency Services
    Ganesh Nalluru, Rahul Pandey, Hemant Purohit
    http://arxiv.org/abs/1907.07240v1

    • [cs.SI]Towards Reliable Online Clickbait Video Detection: A Content-Agnostic Approach
    Lanyu Shang, Daniel Zhang, Michael Wang, Shuyue Lai, Dong Wang
    http://arxiv.org/abs/1907.07604v1

    • [econ.EM]Consistency and matching without replacement
    Fredrik Sävje
    http://arxiv.org/abs/1907.07288v1

    • [eess.AS]AP19-OLR Challenge: Three Tasks and Their Baselines
    Zhiyuan Tang, Dong Wang, Liming Song
    http://arxiv.org/abs/1907.07626v1

    • [eess.IV]CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke
    Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
    http://arxiv.org/abs/1907.07008v2

    • [eess.IV]Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs
    André Gooßen, Hrishikesh Deshpande, Tim Harder, Evan Schwab, Ivo Baltruschat, Thusitha Mabotuwana, Nathan Cross, Axel Saalbach
    http://arxiv.org/abs/1907.07324v1

    • [eess.SP]A Neural Network Detector for Spectrum Sensing under Uncertainties
    Ziyu Ye, Qihang Peng, Kelly Levick, Hui Rong, Andrew Gilman, Pamela Cosman, Larry Milstein
    http://arxiv.org/abs/1907.07326v1

    • [eess.SP]Comparison of Neural Network Architectures for Spectrum Sensing
    Ziyu Ye, Andrew Gilman, Qihang Peng, Kelly Levick, Pamela Cosman, Larry Milstein
    http://arxiv.org/abs/1907.07321v1

    • [eess.SP]Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks
    Radhakrishnan Nagarajan
    http://arxiv.org/abs/1907.07181v1

    • [eess.SP]Deep learning scheme for microwave photonic analog broadband signal recovery
    Shaofu Xu, Rui Wang, Jianping Chen, Lei Yu, Weiwen Zou
    http://arxiv.org/abs/1907.07312v1

    • [eess.SP]Near-Field Joint Localization and Synchronization
    Henk Wymeersch
    http://arxiv.org/abs/1907.07411v1

    • [math-ph]Distribution of the ratio of two consecutive level spacings in orthogonal to unitary crossover ensembles
    Ayana Sarkar, Manuja Kothiyal, Santosh Kumar
    http://arxiv.org/abs/1907.07548v1

    • [math.CO]Tangles in the social sciences
    Reinhard Diestel
    http://arxiv.org/abs/1907.07341v1

    • [math.OC]Dynamic optimization with side information
    Dimitris Bertsimas, Christopher McCord, Bradley Sturt
    http://arxiv.org/abs/1907.07307v1

    • [math.OC]Feature-driven Improvement of Renewable Energy Forecasting and Trading
    Miguel Á. Muñoz, Juan M. Morales, Salvador Pineda
    http://arxiv.org/abs/1907.07580v1

    • [math.PR]On the cut-off phenomenon for the maximum of a sampling of Ornstein-Uhlenbeck processes
    Gerardo Barrera
    http://arxiv.org/abs/1907.07618v1

    • [math.PR]On the geometry of polytopes generated by heavy-tailed random vectors
    Olivier Guédon, Felix Krahmer, Christian Kümmerle, Shahar Mendelson, Holger Rauhut
    http://arxiv.org/abs/1907.07258v1

    • [math.ST]What is… a Markov basis?
    Sonja Petrović
    http://arxiv.org/abs/1907.07320v1

    • [physics.app-ph]Noise Analysis of Photonic Modulator Neurons
    Thomas Ferreira de Lima, Alexander N. Tait, Hooman Saeidi, Mitchell A. Nahmias, Hsuan-Tung Peng, Siamak Abbaslou, Bhavin J. Shastri, Paul R. Prucnal
    http://arxiv.org/abs/1907.07325v1

    • [physics.soc-ph]Constructions and properties of a class of random scale-free networks
    Xiaomin Wang, Fei Ma
    http://arxiv.org/abs/1907.07406v1

    • [quant-ph]Photonic architecture for reinforcement learning
    Fulvio Flamini, Arne Hamann, Sofiène Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Hans J. Briegel
    http://arxiv.org/abs/1907.07503v1

    • [stat.AP]Self Organizing Supply Chains for Micro-Prediction: Present and Future uses of the ROAR Protocol
    Peter Cotton
    http://arxiv.org/abs/1907.07514v1

    • [stat.AP]Spherical data handling and analysis with R package rcosmo
    Daniel Fryer, Andriy Olenko
    http://arxiv.org/abs/1907.07439v1

    • [stat.ME]A Multivariate Extreme Value Theory Approach to Anomaly Clustering and Visualization
    Maël Chiapino, Stéphan Clémençon, Vincent Feuillard, Anne Sabourin
    http://arxiv.org/abs/1907.07523v1

    • [stat.ME]Assessing Treatment Effect Variation in Observational Studies: Results from a Data Challenge
    Carlos Carvalho, Avi Feller, Jared Murray, Spencer Woody, David Yeager
    http://arxiv.org/abs/1907.07592v1

    • [stat.ME]Factor copula models for mixed data
    Sayed H. Kadhem, Aristidis K. Nikoloulopoulos
    http://arxiv.org/abs/1907.07395v1

    • [stat.ME]Optimal Sampling for Generalized Linear Models under Measurement Constraints
    Tao Zhang, Yang Ning, David Ruppert
    http://arxiv.org/abs/1907.07309v1

    • [stat.ME]Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics
    Guido W. Imbens
    http://arxiv.org/abs/1907.07271v1

    • [stat.ML]Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
    Zhiqi Bu, Jason Klusowski, Cynthia Rush, Weijie Su
    http://arxiv.org/abs/1907.07502v1

    • [stat.ML]Clustering Activity-Travel Behavior Time Series using Topological Data Analysis
    Renjie Chen, Jingyue Zhang, Nalini Ravishanker, Karthik Konduri
    http://arxiv.org/abs/1907.07603v1

    • [stat.ML]Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples
    Themistoklis P. Sapsis
    http://arxiv.org/abs/1907.07552v1