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.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 cs.SY - 系统与控制 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.FA - 泛函演算 math.PR - 概率 math.ST - 统计理论 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.CL]A Topic-Agnostic Approach for Identifying Fake News Pages
    • [cs.CL]Context awareness and embedding for biomedical event extraction
    • [cs.CR]Browser Fingerprinting: A survey
    • [cs.CR]Characterising Third Party Cookie Usage in the EU after GDPR
    • [cs.CR]Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach
    • [cs.CR]Mimic Learning to Generate a Shareable Network Intrusion Detection Model
    • [cs.CV]Anti-Confusing: Region-Aware Network for Human Pose Estimation
    • [cs.CV]Blind Deconvolution Method using Omnidirectional Gabor Filter-based Edge Information
    • [cs.CV]Computational analysis of laminar structure of the human cortex based on local neuron features
    • [cs.CV]Distance Metric Learned Collaborative Representation Classifier
    • [cs.CV]Enhanced free space detection in multiple lanes based on single CNN with scene identification
    • [cs.CV]Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
    • [cs.CV]Group Emotion Recognition Using Machine Learning
    • [cs.CV]Improving Visual Relation Detection using Depth Maps
    • [cs.CV]Known-class Aware Self-ensemble for Open Set Domain Adaptation
    • [cs.CV]Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
    • [cs.CV]Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features
    • [cs.CV]Lifting 2d Human Pose to 3d : A Weakly Supervised Approach
    • [cs.CV]Offline Writer Identification based on the Path Signature Feature
    • [cs.CV]Omni-Scale Feature Learning for Person Re-Identification
    • [cs.CV]PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis
    • [cs.CV]PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
    • [cs.CV]Query-guided End-to-End Person Search
    • [cs.CV]Real-time and robust multiple-view gender classification using gait features in video surveillance
    • [cs.CV]Remote measurement of sea ice dynamics with regularized optimal transport
    • [cs.CV]SCOPS: Self-Supervised Co-Part Segmentation
    • [cs.CV]Scaling and Benchmarking Self-Supervised Visual Representation Learning
    • [cs.CV]Seamless Scene Segmentation
    • [cs.CV]Semantic Segmentation of Video Sequences with Convolutional LSTMs
    • [cs.CV]Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
    • [cs.CV]Visualizing Deep Networks by Optimizing with Integrated Gradients
    • [cs.CY]What will you do next? A sequence analysis on the student transitions between online platforms in blended courses
    • [cs.DC]An Efficient Approach to Achieve Compositionality using Optimized Multi-Version Object Based Transactional Systems
    • [cs.DC]Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices
    • [cs.DC]Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM
    • [cs.DC]Real Differences between OT and CRDT in Correctness and Complexity for Consistency Maintenance in Co-Editors
    • [cs.DC]When parallel speedups hit the memory wall
    • [cs.IR]A Personalized Subreddit Recommendation Engine
    • [cs.IR]A Relation Extraction Approach for Clinical Decision Support
    • [cs.IR]Time-sync Video Tag Extraction Using Semantic Association Graph
    • [cs.IT]3GPP-inspired Stochastic Geometry-based Mobility Model for a Drone Cellular Network
    • [cs.IT]Capacity Limits of Full-Duplex Cellular Network
    • [cs.IT]Carrier Aggregation in Multi-Beam High Throughput Satellite Systems
    • [cs.IT]Intelligent Reflecting Surfaces for Free Space Optical Communications
    • [cs.IT]Inter-Cell Antenna Calibration for Coherent Joint Transmission in TDD System
    • [cs.IT]New Perfect Nonlinear Functions and Their Semifields
    • [cs.IT]Non-Orthogonal Contention-Based Access for URLLC Devices with Frequency Diversity
    • [cs.IT]On the Separability of Parallel MISO Broadcast Channels Under Partial CSIT: A Degrees of Freedom Region Perspective
    • [cs.IT]Precoded Cluster Hopping in Multi-Beam High Throughput Satellite Systems
    • [cs.LG]A Fuzzy Inference System for the Identification
    • [cs.LG]CharBot: A Simple and Effective Method for Evading DGA Classifiers
    • [cs.LG]Collaborative Evolutionary Reinforcement Learning
    • [cs.LG]Compressibility Loss for Neural Network Weights
    • [cs.LG]Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction
    • [cs.LG]Continuous Learning for Large-scale Personalized Domain Classification
    • [cs.LG]Convolution is outer product
    • [cs.LG]Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
    • [cs.LG]Deep Residual Reinforcement Learning
    • [cs.LG]Disentangling Factors of Variation Using Few Labels
    • [cs.LG]Information asymmetry in KL-regularized RL
    • [cs.LG]Learning Programmatically Structured Representations with Perceptor Gradients
    • [cs.LG]Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
    • [cs.LG]Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks
    • [cs.LG]Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding
    • [cs.LG]Locally Differentially Private Naive Bayes Classification
    • [cs.LG]Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms
    • [cs.LG]Network Representation Learning: Consolidation and Renewed Bearing
    • [cs.LG]Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data
    • [cs.LG]Stability and Generalization of Graph Convolutional Neural Networks
    • [cs.LG]Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity
    • [cs.LG]Transfer of Adversarial Robustness Between Perturbation Types
    • [cs.LG]Uncertainty-Aware Principal Component Analysis
    • [cs.RO]Asymmetric Dual-Arm Task Execution using an Extended Relative Jacobian
    • [cs.RO]Behavior Planning of Autonomous Cars with Social Perception
    • [cs.RO]HRC-SoS: Human Robot Collaboration Experimentation Platform as System of Systems
    • [cs.RO]Joint Vision-Based Navigation, Control and Obstacle Avoidance for UAVs in Dynamic Environments
    • [cs.RO]MobiKa - Low-Cost Mobile Robot for Human-Robot Interaction
    • [cs.SD]A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders
    • [cs.SI]Network interpolation
    • [cs.SY]A Lyapunov-Based Approach to Exploit Asymmetries in Robotic Dual-Arm Task Resolution
    • [cs.SY]Robust Cooperative Formation Control of Fixed-Wing Unmanned Aerial Vehicles
    • [econ.EM]A Uniform Bound of the Operator Norm of Random Element Matrices and Operator Norm Minimizing Estimation
    • [eess.IV]A Splitting-Based Iterative Algorithm for GPU-Accelerated Statistical Dual-Energy X-Ray CT Reconstruction
    • [eess.IV]Deep Learning in Alzheimer’s Disease: Diagnostic Classification using Neuroimaging Data
    • [eess.IV]Joint High Dynamic Range Imaging and Super-Resolution from a Single Image
    • [eess.IV]Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications
    • [eess.SP]Generative Adversarial Network for Wireless Signal Spoofing
    • [eess.SP]Indoor Localization for IoT Using Adaptive Feature Selection: A Cascaded Machine Learning Approach
    • [math.FA]Approximation spaces of deep neural networks
    • [math.PR]On the excursion area of perturbed Gaussian fields
    • [math.ST]Functional central limit theorems for conditional Poisson sampling
    • [math.ST]High dimensional VAR with low rank transition
    • [stat.AP]Bayesian analysis of Turkish Income and Living Conditions data, using clustered longitudinal ordinal modelling with Bridge distributed random-effects
    • [stat.AP]Characterizing functional relationships between technophony and biophony: A western New York soundscape case study
    • [stat.AP]How are emergent constraints quantifying uncertainty and what do they leave behind?
    • [stat.ME]Causality without potential outcomes and the dynamic approach
    • [stat.ME]Online Control of the False Coverage Rate and False Sign Rate
    • [stat.ME]Robust Model Selection for Finite Mixture of Regression Models Through Trimming
    • [stat.ME]Selection of the Number of Clusters in Functional Data Analysis
    • [stat.ME]Simulation study of estimating between-study variance and overall effect in meta-analyses of log-response-ratio for lognormal data
    • [stat.ML]Parallel Gaussian process surrogate method to accelerate likelihood-free inference

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

    • [cs.CL]A Topic-Agnostic Approach for Identifying Fake News Pages
    Sonia Castelo, Thais Almeida, Anas Elghafari, Aécio Santos, Kien Pham, Eduardo Nakamura, Juliana Freire
    http://arxiv.org/abs/1905.00957v1

    • [cs.CL]Context awareness and embedding for biomedical event extraction
    Shankai Yan, Ka-Chun Wong
    http://arxiv.org/abs/1905.00982v1

    • [cs.CR]Browser Fingerprinting: A survey
    Pierre Laperdrix, Nataliia Bielova, Benoit Baudry, Gildas Avoine
    http://arxiv.org/abs/1905.01051v1

    • [cs.CR]Characterising Third Party Cookie Usage in the EU after GDPR
    Xuehui Hu, Nishanth Sastry
    http://arxiv.org/abs/1905.01267v1

    • [cs.CR]Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach
    Pin-Yu Chen, Sutanay Choudhury, Luke Rodriguez, Alfred Hero, Indrajit Ray
    http://arxiv.org/abs/1905.01002v1

    • [cs.CR]Mimic Learning to Generate a Shareable Network Intrusion Detection Model
    Ahmed Shafee, Mohamed Baza, Douglas A. Talbert, Mostafa M. Fouda, Mahmoud Nabil, Mohamed Mahmoud
    http://arxiv.org/abs/1905.00919v1

    • [cs.CV]Anti-Confusing: Region-Aware Network for Human Pose Estimation
    Xuan Cao, Yanhao Ge, Ying Tai, Wei Zhang, Jian Li, Chengjie Wang, Jilin Li, Feiyue Huang
    http://arxiv.org/abs/1905.00996v1

    • [cs.CV]Blind Deconvolution Method using Omnidirectional Gabor Filter-based Edge Information
    Trung Dung Do, Xuenan Cui, Thi Hai Binh Nguyen, Hakil Kim, Van Huan Nguyen
    http://arxiv.org/abs/1905.01003v1

    • [cs.CV]Computational analysis of laminar structure of the human cortex based on local neuron features
    Andrija Štajduhar, Tomislav Lipić, Goran Sedmak, Sven Lončarić, Miloš Judaš
    http://arxiv.org/abs/1905.01173v1

    • [cs.CV]Distance Metric Learned Collaborative Representation Classifier
    Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
    http://arxiv.org/abs/1905.01168v1

    • [cs.CV]Enhanced free space detection in multiple lanes based on single CNN with scene identification
    Fabio Pizzati, Fernando García
    http://arxiv.org/abs/1905.00941v1

    • [cs.CV]Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
    Spyros Gidaris, Nikos Komodakis
    http://arxiv.org/abs/1905.01102v1

    • [cs.CV]Group Emotion Recognition Using Machine Learning
    Samanyou Garg
    http://arxiv.org/abs/1905.01118v1

    • [cs.CV]Improving Visual Relation Detection using Depth Maps
    Sahand Sharifzadeh, Max Berrendorf, Volker Tresp
    http://arxiv.org/abs/1905.00966v1

    • [cs.CV]Known-class Aware Self-ensemble for Open Set Domain Adaptation
    Qing Lian, Wen Li, Lin Chen, Lixin Duan
    http://arxiv.org/abs/1905.01068v1

    • [cs.CV]Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
    Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-peng Lim, Steven C. H. Hoi
    http://arxiv.org/abs/1905.01273v1

    • [cs.CV]Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features
    Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
    http://arxiv.org/abs/1905.01278v1

    • [cs.CV]Lifting 2d Human Pose to 3d : A Weakly Supervised Approach
    Sandika Biswas, Sanjana Sinha, Kavya Gupta, Brojeshwar Bhowmick
    http://arxiv.org/abs/1905.01047v1

    • [cs.CV]Offline Writer Identification based on the Path Signature Feature
    Songxuan Lai, Lianwen Jin
    http://arxiv.org/abs/1905.01207v1

    • [cs.CV]Omni-Scale Feature Learning for Person Re-Identification
    Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang
    http://arxiv.org/abs/1905.00953v1

    • [cs.CV]PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis
    Zixu Zhao, Huangjing Lin, Hao Chen, Pheng Ann Heng
    http://arxiv.org/abs/1905.01040v1

    • [cs.CV]PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
    Nicholas Rhinehart, Rowan McAllister, Kris Kitani, Sergey Levine
    http://arxiv.org/abs/1905.01296v1

    • [cs.CV]Query-guided End-to-End Person Search
    Bharti Munjal, Sikandar Amin, Federico Tombari, Fabio Galasso
    http://arxiv.org/abs/1905.01203v1

    • [cs.CV]Real-time and robust multiple-view gender classification using gait features in video surveillance
    Trung Dung Do, Hakil Kim, Van Huan Nguyen
    http://arxiv.org/abs/1905.01013v1

    • [cs.CV]Remote measurement of sea ice dynamics with regularized optimal transport
    M. D. Parno, B. A. West, A. J. Song, T. S. Hodgdon, D. T. O’Connor
    http://arxiv.org/abs/1905.00989v1

    • [cs.CV]SCOPS: Self-Supervised Co-Part Segmentation
    Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz
    http://arxiv.org/abs/1905.01298v1

    • [cs.CV]Scaling and Benchmarking Self-Supervised Visual Representation Learning
    Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra
    http://arxiv.org/abs/1905.01235v1

    • [cs.CV]Seamless Scene Segmentation
    Lorenzo Porzi, Samuel Rota Bulò, Aleksander Colovic, Peter Kontschieder
    http://arxiv.org/abs/1905.01220v1

    • [cs.CV]Semantic Segmentation of Video Sequences with Convolutional LSTMs
    Andreas Pfeuffer, Karina Schulz, Klaus Dietmayer
    http://arxiv.org/abs/1905.01058v1

    • [cs.CV]Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
    Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei
    http://arxiv.org/abs/1905.01077v1

    • [cs.CV]Visualizing Deep Networks by Optimizing with Integrated Gradients
    Zhongang Qi, Saeed Khorram, Li Fuxin
    http://arxiv.org/abs/1905.00954v1

    • [cs.CY]What will you do next? A sequence analysis on the student transitions between online platforms in blended courses
    Niki Gitinabard, Sarah Heckman, Tiffany Barnes, Collin F. Lynch
    http://arxiv.org/abs/1905.00928v1

    • [cs.DC]An Efficient Approach to Achieve Compositionality using Optimized Multi-Version Object Based Transactional Systems
    Chirag Juyal, Sandeep Kulkarni, Sweta Kumari, Sathya Peri, Archit Somani
    http://arxiv.org/abs/1905.01200v1

    • [cs.DC]Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices
    Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou
    http://arxiv.org/abs/1905.00968v1

    • [cs.DC]Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM
    Vibhatha Abeykoon, Geoffrey Fox, Minje Kim
    http://arxiv.org/abs/1905.01219v1

    • [cs.DC]Real Differences between OT and CRDT in Correctness and Complexity for Consistency Maintenance in Co-Editors
    David Sun, Chengzheng Sun, Agustina, Weiwei Cai
    http://arxiv.org/abs/1905.01302v1

    • [cs.DC]When parallel speedups hit the memory wall
    Alex F. A. Furtunato, Kyriakos Georgiou, Kerstin Eder, Samuel Xavier-de-Souza
    http://arxiv.org/abs/1905.01234v1

    • [cs.IR]A Personalized Subreddit Recommendation Engine
    Abhishek K Das, Nikhil Bhat, Sukanto Guha, Janvi Palan
    http://arxiv.org/abs/1905.01263v1

    • [cs.IR]A Relation Extraction Approach for Clinical Decision Support
    Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello
    http://arxiv.org/abs/1905.01257v1

    • [cs.IR]Time-sync Video Tag Extraction Using Semantic Association Graph
    Wenmian Yang, Kun Wang, Na Ruan, Wenyuan Gao, Weijia Jia, Wei Zhao, Nan Liu, Yunyong Zhang
    http://arxiv.org/abs/1905.01053v1

    • [cs.IT]3GPP-inspired Stochastic Geometry-based Mobility Model for a Drone Cellular Network
    Morteza Banagar, Harpreet S. Dhillon
    http://arxiv.org/abs/1905.00972v1

    • [cs.IT]Capacity Limits of Full-Duplex Cellular Network
    Kaiming Shen, Reza K. Farsani, Wei Yu
    http://arxiv.org/abs/1905.00944v1

    • [cs.IT]Carrier Aggregation in Multi-Beam High Throughput Satellite Systems
    Mirza Golam Kibria, Eva Lagunas, Nicola Maturo, Danilo Spano, Hayder Al-Hraishawi, Symeon Chatzinotas
    http://arxiv.org/abs/1905.01123v1

    • [cs.IT]Intelligent Reflecting Surfaces for Free Space Optical Communications
    Marzieh Najafi, Robet Schober
    http://arxiv.org/abs/1905.01094v1

    • [cs.IT]Inter-Cell Antenna Calibration for Coherent Joint Transmission in TDD System
    Hanqing Xu, Yajun Zhao, Linmei Mo, Chen Huang, Baoyu Sun
    http://arxiv.org/abs/1905.01046v1

    • [cs.IT]New Perfect Nonlinear Functions and Their Semifields
    Jinquan Luo, Junru Ma
    http://arxiv.org/abs/1905.01041v1

    • [cs.IT]Non-Orthogonal Contention-Based Access for URLLC Devices with Frequency Diversity
    Christopher Boyd, Radosław Kotaba, Olav Tirkkonen, Petar Popovski
    http://arxiv.org/abs/1905.01210v1

    • [cs.IT]On the Separability of Parallel MISO Broadcast Channels Under Partial CSIT: A Degrees of Freedom Region Perspective
    Hamdi Joudeh, Bruno Clerckx
    http://arxiv.org/abs/1905.01283v1

    • [cs.IT]Precoded Cluster Hopping in Multi-Beam High Throughput Satellite Systems
    Mirza Golam Kibria, Eva Lagunas, Nicola Maturo, Danilo Spano, Symeon Chatzinotas
    http://arxiv.org/abs/1905.01162v1

    • [cs.LG]A Fuzzy Inference System for the Identification
    Jose de Jesus Rubio, Ramon Silva Ortigoza, Francisco Jacob Avila, Adolfo Melendez, Juan Manuel Stein
    http://arxiv.org/abs/1905.00991v1

    • [cs.LG]CharBot: A Simple and Effective Method for Evading DGA Classifiers
    Jonathan Peck, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi Olumofin, Bin Yu, Anderson Nascimento, Martine De Cock
    http://arxiv.org/abs/1905.01078v1

    • [cs.LG]Collaborative Evolutionary Reinforcement Learning
    Shauharda Khadka, Somdeb Majumdar, Santiago Miret, Evren Tumer, Tarek Nassar, Zach Dwiel, Yinyin Liu, Kagan Tumer
    http://arxiv.org/abs/1905.00976v1

    • [cs.LG]Compressibility Loss for Neural Network Weights
    Caglar Aytekin, Francesco Cricri, Emre Aksu
    http://arxiv.org/abs/1905.01044v1

    • [cs.LG]Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction
    Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy
    http://arxiv.org/abs/1905.00985v1

    • [cs.LG]Continuous Learning for Large-scale Personalized Domain Classification
    Han Li, Jihwan Lee, Sidharth Mudgal, Ruhi Sarikaya, Young-Bum Kim
    http://arxiv.org/abs/1905.00921v1

    • [cs.LG]Convolution is outer product
    Jean-Marc Andreoli
    http://arxiv.org/abs/1905.01289v1

    • [cs.LG]Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
    Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski
    http://arxiv.org/abs/1905.01067v1

    • [cs.LG]Deep Residual Reinforcement Learning
    Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
    http://arxiv.org/abs/1905.01072v1

    • [cs.LG]Disentangling Factors of Variation Using Few Labels
    Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem
    http://arxiv.org/abs/1905.01258v1

    • [cs.LG]Information asymmetry in KL-regularized RL
    Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M. Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess
    http://arxiv.org/abs/1905.01240v1

    • [cs.LG]Learning Programmatically Structured Representations with Perceptor Gradients
    Svetlin Penkov, Subramanian Ramamoorthy
    http://arxiv.org/abs/1905.00956v1

    • [cs.LG]Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
    Jonathan Kelner, Frederic Koehler, Raghu Meka, Ankur Moitra
    http://arxiv.org/abs/1905.01282v1

    • [cs.LG]Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks
    Dongkun Zhang, Ling Guo, George Em Karniadakis
    http://arxiv.org/abs/1905.01205v1

    • [cs.LG]Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding
    Jihwan Lee, Ruhi Sarikaya, Young-Bum Kim
    http://arxiv.org/abs/1905.00924v1

    • [cs.LG]Locally Differentially Private Naive Bayes Classification
    Emre Yilmaz, Mohammad Al-Rubaie, J. Morris Chang
    http://arxiv.org/abs/1905.01039v1

    • [cs.LG]Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms
    Ahmed A. Elsayed, Waleed A. Yousef
    http://arxiv.org/abs/1905.01213v1

    • [cs.LG]Network Representation Learning: Consolidation and Renewed Bearing
    Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy
    http://arxiv.org/abs/1905.00987v1

    • [cs.LG]Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data
    Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Ynahua Li
    http://arxiv.org/abs/1905.01281v1

    • [cs.LG]Stability and Generalization of Graph Convolutional Neural Networks
    Saurabh Verma, Zhi-Li Zhang
    http://arxiv.org/abs/1905.01004v1

    • [cs.LG]Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity
    Ehsan Kazemi, Marko Mitrovic, Morteza Zadimoghaddam, Silvio Lattanzi, Amin Karbasi
    http://arxiv.org/abs/1905.00948v1

    • [cs.LG]Transfer of Adversarial Robustness Between Perturbation Types
    Daniel Kang, Yi Sun, Tom Brown, Dan Hendrycks, Jacob Steinhardt
    http://arxiv.org/abs/1905.01034v1

    • [cs.LG]Uncertainty-Aware Principal Component Analysis
    Jochen Görtler, Thilo Spinner, Dirk Streeb, Daniel Weiskopf, Oliver Deussen
    http://arxiv.org/abs/1905.01127v1

    • [cs.RO]Asymmetric Dual-Arm Task Execution using an Extended Relative Jacobian
    Diogo Almeida, Yiannis Karayiannidis
    http://arxiv.org/abs/1905.01248v1

    • [cs.RO]Behavior Planning of Autonomous Cars with Social Perception
    Liting Sun, Wei Zhan, Ching-Yao Chan, Masayoshi Tomizuka
    http://arxiv.org/abs/1905.00988v1

    • [cs.RO]HRC-SoS: Human Robot Collaboration Experimentation Platform as System of Systems
    Celal Savur, Shitij Kumar, Sarthak Arora, Tuly Hazbar, Ferat Sahin
    http://arxiv.org/abs/1905.01026v1

    • [cs.RO]Joint Vision-Based Navigation, Control and Obstacle Avoidance for UAVs in Dynamic Environments
    Ciro Potena, Daniele nardi, Alberto Pretto
    http://arxiv.org/abs/1905.01187v1

    • [cs.RO]MobiKa - Low-Cost Mobile Robot for Human-Robot Interaction
    Florenz Graf, Çağatay Odabaşı, Theo Jacobs, Birgit Graf, Thomas Födisch
    http://arxiv.org/abs/1905.01065v1

    • [cs.SD]A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders
    Manuel Pariente, Antoine Deleforge, Emmanuel Vincent
    http://arxiv.org/abs/1905.01209v1

    • [cs.SI]Network interpolation
    Thomas Reeves, Anil Damle, Austin R. Benson
    http://arxiv.org/abs/1905.01253v1

    • [cs.SY]A Lyapunov-Based Approach to Exploit Asymmetries in Robotic Dual-Arm Task Resolution
    Diogo Almeida, Yiannis Karayiannidis
    http://arxiv.org/abs/1905.01261v1

    • [cs.SY]Robust Cooperative Formation Control of Fixed-Wing Unmanned Aerial Vehicles
    Qingrui Zhang, Hugh H. T. Liu
    http://arxiv.org/abs/1905.01028v1

    • [econ.EM]A Uniform Bound of the Operator Norm of Random Element Matrices and Operator Norm Minimizing Estimation
    Hyungsik Roger Moon
    http://arxiv.org/abs/1905.01096v1

    • [eess.IV]A Splitting-Based Iterative Algorithm for GPU-Accelerated Statistical Dual-Energy X-Ray CT Reconstruction
    Fangda Li, Ankit Manerikar, Tanmay Prakash, Avinash Kak
    http://arxiv.org/abs/1905.00934v1

    • [eess.IV]Deep Learning in Alzheimer’s Disease: Diagnostic Classification using Neuroimaging Data
    Taeho Jo, Kwangsik Nho, Andrew J. Saykin
    http://arxiv.org/abs/1905.00931v1

    • [eess.IV]Joint High Dynamic Range Imaging and Super-Resolution from a Single Image
    Jae Woong Soh, Jae Sung Park, Nam Ik Cho
    http://arxiv.org/abs/1905.00933v1

    • [eess.IV]Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications
    Ming Lu, Ming Cheng, Yiling Xu, Shiliang Pu, Qiu Shen, Zhan Ma
    http://arxiv.org/abs/1905.01025v1

    • [eess.SP]Generative Adversarial Network for Wireless Signal Spoofing
    Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu
    http://arxiv.org/abs/1905.01008v1

    • [eess.SP]Indoor Localization for IoT Using Adaptive Feature Selection: A Cascaded Machine Learning Approach
    Mohamed I. AlHajri, Nazar T. Ali, Raed M. Shubair
    http://arxiv.org/abs/1905.01000v1

    • [math.FA]Approximation spaces of deep neural networks
    Rémi Gribonval, Gitta Kutyniok, Morten Nielsen, Felix Voigtlaender
    http://arxiv.org/abs/1905.01208v1

    • [math.PR]On the excursion area of perturbed Gaussian fields
    Elena Di Bernardino, Anne Estrade, Maurizia Rossi
    http://arxiv.org/abs/1905.00206v1

    • [math.ST]Functional central limit theorems for conditional Poisson sampling
    Leo Pasquazzi
    http://arxiv.org/abs/1905.01021v1

    • [math.ST]High dimensional VAR with low rank transition
    Pierre Alquier, Karine Bertin, Paul Doukhan, Rémy Garnier
    http://arxiv.org/abs/1905.00959v1

    • [stat.AP]Bayesian analysis of Turkish Income and Living Conditions data, using clustered longitudinal ordinal modelling with Bridge distributed random-effects
    Özgür Asar
    http://arxiv.org/abs/1905.01106v1

    • [stat.AP]Characterizing functional relationships between technophony and biophony: A western New York soundscape case study
    Jeffrey W. Doser, Kristina M. Hannam, Andrew O. Finley
    http://arxiv.org/abs/1905.01218v1

    • [stat.AP]How are emergent constraints quantifying uncertainty and what do they leave behind?
    Daniel B. Williamson, Philip G. Sansom
    http://arxiv.org/abs/1905.01241v1

    • [stat.ME]Causality without potential outcomes and the dynamic approach
    Daniel Commenges
    http://arxiv.org/abs/1905.01195v1

    • [stat.ME]Online Control of the False Coverage Rate and False Sign Rate
    Asaf Weinstein, Aaditya Ramdas
    http://arxiv.org/abs/1905.01059v1

    • [stat.ME]Robust Model Selection for Finite Mixture of Regression Models Through Trimming
    Sijia Xiang, Weixin Yao
    http://arxiv.org/abs/1905.01036v1

    • [stat.ME]Selection of the Number of Clusters in Functional Data Analysis
    Adriano Zanin Zambom, Julian A. Collazos, Ronaldo Dias
    http://arxiv.org/abs/1905.00977v1

    • [stat.ME]Simulation study of estimating between-study variance and overall effect in meta-analyses of log-response-ratio for lognormal data
    Ilyas Bakbergenuly, David C. Hoaglin, Elena Kulinskaya
    http://arxiv.org/abs/1905.01243v1

    • [stat.ML]Parallel Gaussian process surrogate method to accelerate likelihood-free inference
    Marko Järvenpää, Michael Gutmann, Aki Vehtari, Pekka Marttinen
    http://arxiv.org/abs/1905.01252v1