cs.AI - 人工智能

    cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 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.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MM - 多媒体 cs.PF - 计算性能 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 cs.SY - 系统与控制 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.AP - 偏微分方程分析 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 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]A knowledge-based intelligence system for control of dirt recognition process in the smart washing machines
    • [cs.AI]Alternative Techniques for Mapping Paths to HLAI
    • [cs.AI]From Abstractions to “Natural Languages” for Planning Agents
    • [cs.AI]Impact of Argument Type and Concerns in Argumentation with a Chatbot
    • [cs.AI]KALM: A Rule-based Approach for Knowledge Authoring and Question Answering
    • [cs.AI]The relationship between Biological and Artificial Intelligence
    • [cs.AI]Truth Discovery via Proxy Voting
    • [cs.CL]A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPAs LORELEI project
    • [cs.CL]Argument Identification in Public Comments from eRulemaking
    • [cs.CL]KnowBias: A Novel AI Method to Detect Polarity in Online Content
    • [cs.CL]SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
    • [cs.CL]Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States
    • [cs.CV]3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams
    • [cs.CV]Billion-scale semi-supervised learning for image classification
    • [cs.CV]Clustering Images by Unmasking - A New Baseline
    • [cs.CV]DPSNet: End-to-end Deep Plane Sweep Stereo
    • [cs.CV]DS-VIO: Robust and Efficient Stereo Visual Inertial Odometry based on Dual Stage EKF
    • [cs.CV]Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks
    • [cs.CV]Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping
    • [cs.CV]Egocentric Hand Track and Object-based Human Action Recognition
    • [cs.CV]Face Identification using Local Ternary Tree Pattern based Spatial Structural Components
    • [cs.CV]Human Action Recognition with Deep Temporal Pyramids
    • [cs.CV]Large-scale weakly-supervised pre-training for video action recognition
    • [cs.CV]Lifting Vectorial Variational Problems: A Natural Formulation based on Geometric Measure Theory and Discrete Exterior Calculus
    • [cs.CV]LivDet in Action - Fingerprint Liveness Detection Competition 2019
    • [cs.CV]Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
    • [cs.CV]Object Contour and Edge Detection with RefineContourNet
    • [cs.CV]Optimal Multi-view Correction of Local Affine Frames
    • [cs.CV]RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles
    • [cs.CV]Recurrent-Convolution Approach to DeepFake Detection - State-Of-Art Results on FaceForensics++
    • [cs.CV]RetinaFace: Single-stage Dense Face Localisation in the Wild
    • [cs.CV]Self-supervised Learning for Video Correspondence Flow
    • [cs.CV]The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation
    • [cs.CY]The role of artificial intelligence in achieving the Sustainable Development Goals
    • [cs.DB]Towards a Novel Cooperative Logistics Information System Framework
    • [cs.DC]An Adaptive Performance-oriented Scheduler for Static and Dynamic Heterogeneity
    • [cs.DC]Deterministic Leader Election in Programmable Matter
    • [cs.DC]HeTM: Transactional Memory for Heterogeneous Systems
    • [cs.DC]Parallelizing Convergent Cross Mapping Using Apache Spark
    • [cs.DC]Parity Models: A General Framework for Coding-Based Resilience in ML Inference
    • [cs.DS]Log Diameter Rounds Algorithms for $2$-Vertex and $2$-Edge Connectivity
    • [cs.GR]Single Image Portrait Relighting
    • [cs.IR]Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction
    • [cs.IR]Semi-automatic System for Title Construction
    • [cs.IR]Signed Distance-based Deep Memory Recommender
    • [cs.IR]Spectrum-enhanced Pairwise Learning to Rank
    • [cs.IR]The Literary Theme Ontology for Media Annotation and Information Retrieval
    • [cs.IR]Web data mining for public health purposes
    • [cs.IT]A Mathematical Justification for Exponentially Distributed NLOS Bias
    • [cs.IT]Adaptive Coding for Information Freshness in a Two-user Broadcast Erasure Channel
    • [cs.IT]Conditioning of restricted Fourier matrices and super-resolution of MUSIC
    • [cs.IT]Machine Learning meets Stochastic Geometry: Determinantal Subset Selection for Wireless Networks
    • [cs.IT]Optimal Power Allocation for Minimizing Outage Probability of UAV Relay Communications
    • [cs.IT]Performance Analysis of SSK-NOMA
    • [cs.IT]Shadowed FSO/mmWave Systems with Interference
    • [cs.IT]Threshold-based Selective Cooperative-NOMA
    • [cs.IT]Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network
    • [cs.LG]26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone
    • [cs.LG]A Unified Deep Learning Formalism For Processing Graph Signals
    • [cs.LG]Automated Machine Learning via ADMM
    • [cs.LG]Deep Generative Models for Sparse, High-dimensional, and Overdispersed Discrete Data
    • [cs.LG]Efficient Model-free Reinforcement Learning in Metric Spaces
    • [cs.LG]Estimating Kullback-Leibler Divergence Using Kernel Machines
    • [cs.LG]From Video Game to Real Robot: The Transfer between Action Spaces
    • [cs.LG]Full-Jacobian Representation of Neural Networks
    • [cs.LG]Human Activity Recognition Using LSTM-RNN Deep Neural Network Architecture
    • [cs.LG]Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications
    • [cs.LG]Long term impact of fair machine learning in sequential decision making: representation disparity and group retention
    • [cs.LG]NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
    • [cs.LG]On Expected Accuracy
    • [cs.LG]Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality
    • [cs.LG]RadiX-Net: Structured Sparse Matrices for Deep Neural Networks
    • [cs.LG]Recombinator-k-means: Enhancing k-means++ by seeding from pools of previous runs
    • [cs.LG]Restricted Connection Orthogonal Matching Pursuit For Sparse Subspace Clustering
    • [cs.LG]Speed-up and multi-view extensions to Subclass Discriminant Analysis
    • [cs.LG]Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization
    • [cs.LG]Synthetic Oversampling of Multi-Label Data based on Local Label Distribution
    • [cs.LG]Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM
    • [cs.LG]Weight Map Layer for Noise and Adversarial Attack Robustness
    • [cs.LO]Computer Science and Metaphysics: A Cross-Fertilization
    • [cs.MM]Herding Effect based Attention for Personalized Time-Sync Video Recommendation
    • [cs.PF]On Linear Learning with Manycore Processors
    • [cs.RO]A Modular Framework for Motion Planning using Safe-by-Design Motion Primitives
    • [cs.RO]An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
    • [cs.RO]Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling
    • [cs.RO]From Specifications to Behavior: Maneuver Verification in a Semantic State Space
    • [cs.RO]Functional Object-Oriented Network: Considering Robot’s Capability in Human-Robot Collaboration
    • [cs.RO]Hierarchically Consistent Motion Primitives for Quadrotor Coordination
    • [cs.RO]Shear-invariant Sliding Contact Perception with a Soft Tactile Sensor
    • [cs.SI]Characterizing Attention Cascades in WhatsApp Groups
    • [cs.SI]Reliability of relational event model estimates under sampling: how to fit a relational event model to 360 million dyadic events
    • [cs.SI]Reputation-Based Information Design for Inducing Prosocial Behavior
    • [cs.SI]Social Network of Extreme Tweeters: A Case Study
    • [cs.SI]Temporal Ordered Clustering in Dynamic Networks
    • [cs.SY]Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning
    • [cs.SY]On the Smoothness of Nonlinear System Identification
    • [eess.AS]Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training
    • [eess.IV]Fully Automatic Brain Tumor Segmentation using a Normalized Gaussian Bayesian Classifier and 3D Fluid Vector Flow
    • [eess.IV]Inverse Halftoning Through Structure-Aware Deep Convolutional Neural Networks
    • [eess.IV]Land Use and Land Cover Classification Using Deep Learning Techniques
    • [eess.IV]Multi-level Encoder-Decoder Architectures for Image Restoration
    • [eess.SP]Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars
    • [eess.SP]Asymptotic regime for improperness tests of complex random vectors
    • [eess.SP]IRS-Enhanced OFDM: Power Allocation and Passive Array Optimization
    • [eess.SP]LoRa Symbol Error Rate Under Non-Chip- and Non-Phase-Aligned Interference
    • [eess.SP]Meta Distribution for Downlink NOMA in Cellular Networks with 3GPP-inspired User Ranking
    • [math.AP]Consistent Inversion of Noisy Non-Abelian X-Ray Transforms
    • [math.OC]Restricted Boltzmann Machine Assignment Algorithm: Application to solve many-to-one matching problems on weighted bipartite graph
    • [math.ST]Sparsity Double Robust Inference of Average Treatment Effects
    • [math.ST]Stochastic ordering results in parallel and series systems with Gumble distributed random variables
    • [physics.soc-ph]Long-tailed distributions of inter-event times as mixtures of exponential distributions
    • [physics.soc-ph]Opinion Diversity and Social Bubbles in Adaptive Sznajd Networks
    • [q-bio.PE]Modeling the ASF (African Swine Fever) spread till summer 2017 and risk assessment for Poland
    • [quant-ph]Strong Converse for Classical-Quantum Degraded Broadcast Channels
    • [quant-ph]Strong converse bounds in quantum network information theory: distributed hypothesis testing and source coding
    • [stat.AP]A hierarchical life cycle model for Atlantic salmon stock assessment at the North Atlantic basin scale
    • [stat.AP]Creep rate based time to failure prediction of adhesive anchor systems under sustained load
    • [stat.AP]Dynamic predictions of kidney graft survival in the presence of longitudinal outliers
    • [stat.AP]On two existing approaches to statistical analysis of social media data
    • [stat.AP]Using In-Game Shot Trajectories to Better Understand Defensive Impact in the NBA
    • [stat.ME]A Conditional Empirical Likelihood Based Method for Model Parameter Estimation from Complex survey Datasets
    • [stat.ME]Total positivity in structured binary distributions
    • [stat.ME]Two-sample inference for high-dimensional Markov networks
    • [stat.ME]Variational Bayesian Inference for Mixed Logit Models with Unobserved Inter- and Intra-Individual Heterogeneity
    • [stat.ML]A tutorial on recursive models for analyzing and predicting path choice behavior
    • [stat.ML]Drug-Drug Adverse Effect Prediction with Graph Co-Attention
    • [stat.ML]Learning higher-order sequential structure with cloned HMMs
    • [stat.ML]Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size!
    • [stat.ML]Semi-Conditional Normalizing Flows for Semi-Supervised Learning
    • [stat.ML]You Only Propagate Once: Painless Adversarial Training Using Maximal Principle

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    • [cs.AI]A knowledge-based intelligence system for control of dirt recognition process in the smart washing machines
    Mohsen Annabestani, Alireza Rowhanimanesh, Akram Rezaei, Ladan Avazpour, Fatemeh Sheikhhasani
    http://arxiv.org/abs/1905.00607v1

    • [cs.AI]Alternative Techniques for Mapping Paths to HLAI
    Ross Gruetzemacher, David Paradice
    http://arxiv.org/abs/1905.00614v1

    • [cs.AI]From Abstractions to “Natural Languages” for Planning Agents
    Yu Zhang, Li Wang
    http://arxiv.org/abs/1905.00517v1

    • [cs.AI]Impact of Argument Type and Concerns in Argumentation with a Chatbot
    Lisa A. Chalaguine, Anthony Hunter, Fiona L. Hamilton, Henry W. W. Potts
    http://arxiv.org/abs/1905.00646v1

    • [cs.AI]KALM: A Rule-based Approach for Knowledge Authoring and Question Answering
    Tiantian Gao
    http://arxiv.org/abs/1905.00840v1

    • [cs.AI]The relationship between Biological and Artificial Intelligence
    George Cevora
    http://arxiv.org/abs/1905.00547v1

    • [cs.AI]Truth Discovery via Proxy Voting
    Reshef Meir, Ofra Amir, Gal Cohensius, Omer Ben-Porat, Lirong Xia
    http://arxiv.org/abs/1905.00629v1

    • [cs.CL]A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPAs LORELEI project
    Victor R Martinez, Anil Ramakrishna, Ming-Chang Chiu, Karan Singla, Shrikanth Narayanan
    http://arxiv.org/abs/1905.00472v1

    • [cs.CL]Argument Identification in Public Comments from eRulemaking
    Vlad Eidelman, Brian Grom
    http://arxiv.org/abs/1905.00572v1

    • [cs.CL]KnowBias: A Novel AI Method to Detect Polarity in Online Content
    Aditya Saligrama
    http://arxiv.org/abs/1905.00724v1

    • [cs.CL]SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
    Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
    http://arxiv.org/abs/1905.00537v1

    • [cs.CL]Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States
    Byungsoo Jeon, Eyal Shafran, Luke Breitfeller, Jason Levin, Carolyn P. Rose
    http://arxiv.org/abs/1905.00422v1

    • [cs.CV]3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams
    Walter Zimmer, Akshay Rangesh, Mohan Trivedi
    http://arxiv.org/abs/1905.00525v1

    • [cs.CV]Billion-scale semi-supervised learning for image classification
    I. Zeki Yalniz, Hervé Jégou, Kan Chen, Manohar Paluri, Dhruv Mahajan
    http://arxiv.org/abs/1905.00546v1

    • [cs.CV]Clustering Images by Unmasking - A New Baseline
    Mariana-Iuliana Georgescu, Radu Tudor Ionescu
    http://arxiv.org/abs/1905.00773v1

    • [cs.CV]DPSNet: End-to-end Deep Plane Sweep Stereo
    Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon
    http://arxiv.org/abs/1905.00538v1

    • [cs.CV]DS-VIO: Robust and Efficient Stereo Visual Inertial Odometry based on Dual Stage EKF
    Xiaogang Xiong, Wenqing Chen, Zhichao Liu, Qiang Shen
    http://arxiv.org/abs/1905.00684v1

    • [cs.CV]Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks
    Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Andres Milioto, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher
    http://arxiv.org/abs/1905.00458v1

    • [cs.CV]Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping
    Xi Yang, Bojian Wu, Issei Sato, Takeo Igarashi
    http://arxiv.org/abs/1905.00593v1

    • [cs.CV]Egocentric Hand Track and Object-based Human Action Recognition
    Georgios Kapidis, Ronald Poppe, Elsbeth van Dam, Lucas P. J. J. Noldus, Remco C. Veltkamp
    http://arxiv.org/abs/1905.00742v1

    • [cs.CV]Face Identification using Local Ternary Tree Pattern based Spatial Structural Components
    Rinku Datta Rakshit, Dakshina Ranjan Kisku, Massimo Tistarelli, Phalguni Gupta
    http://arxiv.org/abs/1905.00693v1

    • [cs.CV]Human Action Recognition with Deep Temporal Pyramids
    Ahmed Mazari, Hichem Sahbi
    http://arxiv.org/abs/1905.00745v1

    • [cs.CV]Large-scale weakly-supervised pre-training for video action recognition
    Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan
    http://arxiv.org/abs/1905.00561v1

    • [cs.CV]Lifting Vectorial Variational Problems: A Natural Formulation based on Geometric Measure Theory and Discrete Exterior Calculus
    Thomas Möllenhoff, Daniel Cremers
    http://arxiv.org/abs/1905.00851v1

    • [cs.CV]LivDet in Action - Fingerprint Liveness Detection Competition 2019
    Giulia Orrù, Roberto Casula, Pierluigi Tuveri, Carlotta Bazzoni, Giovanna Dessalvi, Marco Micheletto, Luca Ghiani, Gian Luca Marcialis
    http://arxiv.org/abs/1905.00639v1

    • [cs.CV]Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
    Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, Abhishek Kar
    http://arxiv.org/abs/1905.00889v1

    • [cs.CV]Object Contour and Edge Detection with RefineContourNet
    Andre Peter Kelm, Vijesh Soorya Rao, Udo Zoelzer
    http://arxiv.org/abs/1904.13353v2

    • [cs.CV]Optimal Multi-view Correction of Local Affine Frames
    Ivan Eichhardt, Daniel Barath
    http://arxiv.org/abs/1905.00519v1

    • [cs.CV]RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles
    Ramin Nabati, Hairong Qi
    http://arxiv.org/abs/1905.00526v1

    • [cs.CV]Recurrent-Convolution Approach to DeepFake Detection - State-Of-Art Results on FaceForensics++
    Ekraam Sabir, Jiaxin Cheng, Ayush Jaiswal, Wael AbdAlmageed, Iacopo Masi, Prem Natarajan
    http://arxiv.org/abs/1905.00582v1

    • [cs.CV]RetinaFace: Single-stage Dense Face Localisation in the Wild
    Jiankang Deng, Jia Guo, Yuxiang Zhou, Jinke Yu, Irene Kotsia, Stefanos Zafeiriou
    http://arxiv.org/abs/1905.00641v1

    • [cs.CV]Self-supervised Learning for Video Correspondence Flow
    Zihang Lai, Weidi Xie
    http://arxiv.org/abs/1905.00875v1

    • [cs.CV]The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation
    Sergi Caelles, Jordi Pont-Tuset, Federico Perazzi, Alberto Montes, Kevis-Kokitsi Maninis, Luc Van Gool
    http://arxiv.org/abs/1905.00737v1

    • [cs.CY]The role of artificial intelligence in achieving the Sustainable Development Goals
    Ricardo Vinuesa, Hossein Azizpour, Iolanda Leite, Madeline Balaam, Virginia Dignum, Sami Domisch, Anna Felländer, Simone Langhans, Max Tegmark, Francesco Fuso Nerini
    http://arxiv.org/abs/1905.00501v1

    • [cs.DB]Towards a Novel Cooperative Logistics Information System Framework
    Fares Zaidi, Laurent Amanton, Eric Sanlaville
    http://arxiv.org/abs/1905.00687v1

    • [cs.DC]An Adaptive Performance-oriented Scheduler for Static and Dynamic Heterogeneity
    Jing Chen, Pirah Noor Soomro, Mustafa Abduljabbar, Miquel Pericàs
    http://arxiv.org/abs/1905.00673v1

    • [cs.DC]Deterministic Leader Election in Programmable Matter
    Yuval Emek, Shay Kutten, Ron Lavi, William K. Moses Jr
    http://arxiv.org/abs/1905.00580v1

    • [cs.DC]HeTM: Transactional Memory for Heterogeneous Systems
    Daniel Castro, Paolo Romano, Aleksandar Illic, Amin M. Khan
    http://arxiv.org/abs/1905.00661v1

    • [cs.DC]Parallelizing Convergent Cross Mapping Using Apache Spark
    Bo Pu, Lujie Duan, Nathaniel Osgood
    http://arxiv.org/abs/1905.00565v1

    • [cs.DC]Parity Models: A General Framework for Coding-Based Resilience in ML Inference
    Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman
    http://arxiv.org/abs/1905.00863v1

    • [cs.DS]Log Diameter Rounds Algorithms for $2$-Vertex and $2$-Edge Connectivity
    Alexandr Andoni, Clifford Stein, Peilin Zhong
    http://arxiv.org/abs/1905.00850v1

    • [cs.GR]Single Image Portrait Relighting
    Tiancheng Sun, Jonathan T. Barron, Yun-Ta Tsai, Zexiang Xu, Xueming Yu, Graham Fyffe, Christoph Rhemann, Jay Busch, Paul Debevec, Ravi Ramamoorthi
    http://arxiv.org/abs/1905.00824v1

    • [cs.IR]Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction
    Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai
    http://arxiv.org/abs/1905.00758v1

    • [cs.IR]Semi-automatic System for Title Construction
    Swagata Duari, Vasudha Bhatnagar
    http://arxiv.org/abs/1905.00470v1

    • [cs.IR]Signed Distance-based Deep Memory Recommender
    Thanh Tran, Xinyue Liu, Kyumin Lee, Xiangnan Kong
    http://arxiv.org/abs/1905.00453v1

    • [cs.IR]Spectrum-enhanced Pairwise Learning to Rank
    Wenhui Yu, Zheng Qin
    http://arxiv.org/abs/1905.00805v1

    • [cs.IR]The Literary Theme Ontology for Media Annotation and Information Retrieval
    Paul Sheridan, Mikael Onsjö, Janna Hastings
    http://arxiv.org/abs/1905.00522v1

    • [cs.IR]Web data mining for public health purposes
    Niels Dalum Hansen
    http://arxiv.org/abs/1905.00829v1

    • [cs.IT]A Mathematical Justification for Exponentially Distributed NLOS Bias
    Christopher E. O’Lone, Harpreet S. Dhillon, R. Michael Buehrer
    http://arxiv.org/abs/1905.00603v1

    • [cs.IT]Adaptive Coding for Information Freshness in a Two-user Broadcast Erasure Channel
    Songtao Feng, Jing Yang
    http://arxiv.org/abs/1905.00521v1

    • [cs.IT]Conditioning of restricted Fourier matrices and super-resolution of MUSIC
    Weilin Li, Wenjing Liao
    http://arxiv.org/abs/1905.00783v1

    • [cs.IT]Machine Learning meets Stochastic Geometry: Determinantal Subset Selection for Wireless Networks
    Chiranjib Saha, Harpreet S. Dhillon
    http://arxiv.org/abs/1905.00504v1

    • [cs.IT]Optimal Power Allocation for Minimizing Outage Probability of UAV Relay Communications
    Hui Tu, Jia Zhu, Yulong Zou
    http://arxiv.org/abs/1905.00543v1

    • [cs.IT]Performance Analysis of SSK-NOMA
    Ferdi Kara, Hakan Kaya
    http://arxiv.org/abs/1905.00777v1

    • [cs.IT]Shadowed FSO/mmWave Systems with Interference
    Imene Trigui, Panagiotis D. Diamantoulakis, Sofiene Affes, George K. Karagiannidis
    http://arxiv.org/abs/1905.00479v1

    • [cs.IT]Threshold-based Selective Cooperative-NOMA
    Ferdi Kara, Hakan Kaya
    http://arxiv.org/abs/1905.00768v1

    • [cs.IT]Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network
    Wu Qingqing, Zhang Rui
    http://arxiv.org/abs/1905.00152v2

    • [cs.LG]26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone
    Wei Niu, Xiaolong Ma, Yanzhi Wang, Bin Ren
    http://arxiv.org/abs/1905.00571v1

    • [cs.LG]A Unified Deep Learning Formalism For Processing Graph Signals
    Myriam Bontonou, Carlos Lassance, Jean-Charles Vialatte, Vincent Gripon
    http://arxiv.org/abs/1905.00496v1

    • [cs.LG]Automated Machine Learning via ADMM
    Sijia Liu, Parikshit Ram, Djallel Bouneffouf, Gregory Bramble, Andrew R Conn, Horst Samulowitz, Alexander Gray
    http://arxiv.org/abs/1905.00424v1

    • [cs.LG]Deep Generative Models for Sparse, High-dimensional, and Overdispersed Discrete Data
    He Zhao, Piyush Rai, Lan Du, Wray Buntine, Mingyuan Zhou
    http://arxiv.org/abs/1905.00616v1

    • [cs.LG]Efficient Model-free Reinforcement Learning in Metric Spaces
    Zhao Song, Wen Sun
    http://arxiv.org/abs/1905.00475v1

    • [cs.LG]Estimating Kullback-Leibler Divergence Using Kernel Machines
    Kartik Ahuja
    http://arxiv.org/abs/1905.00586v1

    • [cs.LG]From Video Game to Real Robot: The Transfer between Action Spaces
    Janne Karttunen, Anssi Kanervisto, Ville Hautamäki, Ville Kyrki
    http://arxiv.org/abs/1905.00741v1

    • [cs.LG]Full-Jacobian Representation of Neural Networks
    Suraj Srinivas, Francois Fleuret
    http://arxiv.org/abs/1905.00780v1

    • [cs.LG]Human Activity Recognition Using LSTM-RNN Deep Neural Network Architecture
    Schalk Wilhelm Pienaar, Reza Malekian
    http://arxiv.org/abs/1905.00599v1

    • [cs.LG]Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications
    Pouya Pezeshkpour, Yifan Tian, Sameer Singh
    http://arxiv.org/abs/1905.00563v1

    • [cs.LG]Long term impact of fair machine learning in sequential decision making: representation disparity and group retention
    Xueru Zhang, Mohammad Mahdi Khalili, Cem Tekin, Mingyan Liu
    http://arxiv.org/abs/1905.00569v1

    • [cs.LG]NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
    Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong
    http://arxiv.org/abs/1905.00441v1

    • [cs.LG]On Expected Accuracy
    Ozan İrsoy
    http://arxiv.org/abs/1905.00448v1

    • [cs.LG]Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality
    Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani, Michael E. Houle, James Bailey
    http://arxiv.org/abs/1905.00643v1

    • [cs.LG]RadiX-Net: Structured Sparse Matrices for Deep Neural Networks
    Ryan A. Robinett, Jeremy Kepner
    http://arxiv.org/abs/1905.00416v1

    • [cs.LG]Recombinator-k-means: Enhancing k-means++ by seeding from pools of previous runs
    Carlo Baldassi
    http://arxiv.org/abs/1905.00531v1

    • [cs.LG]Restricted Connection Orthogonal Matching Pursuit For Sparse Subspace Clustering
    Wenqi Zhu, Yuesheng Zhu, Li Zhong, Shuai Yang
    http://arxiv.org/abs/1905.00420v1

    • [cs.LG]Speed-up and multi-view extensions to Subclass Discriminant Analysis
    Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
    http://arxiv.org/abs/1905.00794v1

    • [cs.LG]Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization
    Rong Ge, Zhize Li, Weiyao Wang, Xiang Wang
    http://arxiv.org/abs/1905.00529v1

    • [cs.LG]Synthetic Oversampling of Multi-Label Data based on Local Label Distribution
    Bin Liu, Grigorios Tsoumakas
    http://arxiv.org/abs/1905.00609v1

    • [cs.LG]Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM
    Sheng Lin, Xiaolong Ma, Shaokai Ye, Geng Yuan, Kaisheng Ma, Yanzhi Wang
    http://arxiv.org/abs/1905.00789v1

    • [cs.LG]Weight Map Layer for Noise and Adversarial Attack Robustness
    Mohammed Amer, Tomás Maul
    http://arxiv.org/abs/1905.00568v1

    • [cs.LO]Computer Science and Metaphysics: A Cross-Fertilization
    Daniel Kirchner, Christoph Benzmüller, Edward N. Zalta
    http://arxiv.org/abs/1905.00787v1

    • [cs.MM]Herding Effect based Attention for Personalized Time-Sync Video Recommendation
    Wenmian Yang, Wenyuan Gao, Xiaojie Zhou, Weijia Jia, Shaohua Zhang, Yutao Luo
    http://arxiv.org/abs/1905.00579v1

    • [cs.PF]On Linear Learning with Manycore Processors
    Eliza Wszola, Celestine Dünner, Martin Jaggi, Markus Püschel
    http://arxiv.org/abs/1905.00626v1

    • [cs.RO]A Modular Framework for Motion Planning using Safe-by-Design Motion Primitives
    Marijan Vukosavljev, Zachary Kroeze, Angela P. Schoellig, Mireille E. Broucke
    http://arxiv.org/abs/1905.00495v1

    • [cs.RO]An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
    Andrea Bajcsy, Somil Bansal, Eli Bronstein, Varun Tolani, Claire J. Tomlin
    http://arxiv.org/abs/1905.00532v1

    • [cs.RO]Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling
    Jiachen Li, Hengbo Ma, Wei Zhan, Masayoshi Tomizuka
    http://arxiv.org/abs/1905.00587v1

    • [cs.RO]From Specifications to Behavior: Maneuver Verification in a Semantic State Space
    Klemens Esterle, Vincent Aravantinos, Alois Knoll
    http://arxiv.org/abs/1905.00708v1

    • [cs.RO]Functional Object-Oriented Network: Considering Robot’s Capability in Human-Robot Collaboration
    David Paulius, Kelvin Sheng Pei Dong, Yu Sun
    http://arxiv.org/abs/1905.00502v1

    • [cs.RO]Hierarchically Consistent Motion Primitives for Quadrotor Coordination
    Marijan Vukosavljev, Angela P. Schoellig, Mireille E. Broucke
    http://arxiv.org/abs/1905.00500v1

    • [cs.RO]Shear-invariant Sliding Contact Perception with a Soft Tactile Sensor
    Kirsty Aquilina, David A. W. Barton, Nathan F. Lepora
    http://arxiv.org/abs/1905.00842v1

    • [cs.SI]Characterizing Attention Cascades in WhatsApp Groups
    Josemar Alves Caetano, Gabriel Magno, Marcos Gonçalves, Jussara Almeida, Humberto T. Marques-Neto, Virgílio Almeida
    http://arxiv.org/abs/1905.00825v1

    • [cs.SI]Reliability of relational event model estimates under sampling: how to fit a relational event model to 360 million dyadic events
    Jürgen Lerner, Alessandro Lomi
    http://arxiv.org/abs/1905.00630v1

    • [cs.SI]Reputation-Based Information Design for Inducing Prosocial Behavior
    Alexandre Reiffers-Masson, Rajesh Sundaresan
    http://arxiv.org/abs/1905.00585v1

    • [cs.SI]Social Network of Extreme Tweeters: A Case Study
    Xiuwen Zheng, Amarnath Gupta
    http://arxiv.org/abs/1905.00567v1

    • [cs.SI]Temporal Ordered Clustering in Dynamic Networks
    Krzysztof Turowski, Jithin K. Sreedharan, Wojciech Szpankowski
    http://arxiv.org/abs/1905.00672v1

    • [cs.SY]Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning
    Mohammad Jafari, Vahid Sarfi, Amir Ghasemkhani, Hanif Livani, Lei Yang, Hao Xu
    http://arxiv.org/abs/1905.00557v1

    • [cs.SY]On the Smoothness of Nonlinear System Identification
    Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis A. Aguirre
    http://arxiv.org/abs/1905.00820v1

    • [eess.AS]Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training
    Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
    http://arxiv.org/abs/1905.00855v1

    • [eess.IV]Fully Automatic Brain Tumor Segmentation using a Normalized Gaussian Bayesian Classifier and 3D Fluid Vector Flow
    Tao Wang, Irene Cheng, Anup Basu
    http://arxiv.org/abs/1905.00469v1

    • [eess.IV]Inverse Halftoning Through Structure-Aware Deep Convolutional Neural Networks
    Chang-Hwan Son
    http://arxiv.org/abs/1905.00637v1

    • [eess.IV]Land Use and Land Cover Classification Using Deep Learning Techniques
    Nagesh Kumar Uba
    http://arxiv.org/abs/1905.00510v1

    • [eess.IV]Multi-level Encoder-Decoder Architectures for Image Restoration
    Indra Deep Mastan, Shanmuganathan Raman
    http://arxiv.org/abs/1905.00322v2

    • [eess.SP]Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars
    Alexandros Kouris, Stylianos I. Venieris, Michail Rizakis, Christos-Savvas Bouganis
    http://arxiv.org/abs/1905.00689v1

    • [eess.SP]Asymptotic regime for improperness tests of complex random vectors
    Florent Chatelain, Nicolas Le Bihan, Jonathan H. Manton
    http://arxiv.org/abs/1904.12810v2

    • [eess.SP]IRS-Enhanced OFDM: Power Allocation and Passive Array Optimization
    Yifei Yang, Shuowen Zhang, Rui Zhang
    http://arxiv.org/abs/1905.00604v1

    • [eess.SP]LoRa Symbol Error Rate Under Non-Chip- and Non-Phase-Aligned Interference
    Orion Afisiadis, Matthieu Cotting, Andreas Burg, Alexios Balatsoukas-Stimming
    http://arxiv.org/abs/1905.00439v1

    • [eess.SP]Meta Distribution for Downlink NOMA in Cellular Networks with 3GPP-inspired User Ranking
    Praful D. Mankar, Harpreet S. Dhillon
    http://arxiv.org/abs/1905.00726v1

    • [math.AP]Consistent Inversion of Noisy Non-Abelian X-Ray Transforms
    François Monard, Richard Nickl, Gabriel P. Paternain
    http://arxiv.org/abs/1905.00860v1

    • [math.OC]Restricted Boltzmann Machine Assignment Algorithm: Application to solve many-to-one matching problems on weighted bipartite graph
    Francesco Curia
    http://arxiv.org/abs/1904.13111v2

    • [math.ST]Sparsity Double Robust Inference of Average Treatment Effects
    Jelena Bradic, Stefan Wager, Yinchu Zhu
    http://arxiv.org/abs/1905.00744v1

    • [math.ST]Stochastic ordering results in parallel and series systems with Gumble distributed random variables
    Surojit Biswas, Nitin Gupta
    http://arxiv.org/abs/1905.00425v1

    • [physics.soc-ph]Long-tailed distributions of inter-event times as mixtures of exponential distributions
    Makoto Okada, Kenji Yamanishi, Naoki Masuda
    http://arxiv.org/abs/1905.00699v1

    • [physics.soc-ph]Opinion Diversity and Social Bubbles in Adaptive Sznajd Networks
    Alexandre Benatti, Henrique Ferraz de Arruda, Filipi Nascimento Silva, Cesar Henrique Comin, Luciano da Fontoura Costa
    http://arxiv.org/abs/1905.00867v1

    • [q-bio.PE]Modeling the ASF (African Swine Fever) spread till summer 2017 and risk assessment for Poland
    Andrzej Jarynowski, Vitaly Belik
    http://arxiv.org/abs/1905.00592v1

    • [quant-ph]Strong Converse for Classical-Quantum Degraded Broadcast Channels
    Hao-Chung Cheng, Nilanjana Datta, Cambyse Rouzé
    http://arxiv.org/abs/1905.00874v1

    • [quant-ph]Strong converse bounds in quantum network information theory: distributed hypothesis testing and source coding
    Hao-Chung Cheng, Nilanjana Datta, Cambyse Rouzé
    http://arxiv.org/abs/1905.00873v1

    • [stat.AP]A hierarchical life cycle model for Atlantic salmon stock assessment at the North Atlantic basin scale
    Etienne Rivot, Maxime Olmos, Gérald Chaput, Etienne Prévost
    http://arxiv.org/abs/1905.00676v1

    • [stat.AP]Creep rate based time to failure prediction of adhesive anchor systems under sustained load
    Ioannis Boumakis, Krešimir Ninčević, Jan Vorel, Roman Wan-Wendner
    http://arxiv.org/abs/1905.00685v1

    • [stat.AP]Dynamic predictions of kidney graft survival in the presence of longitudinal outliers
    Ozgur Asar, Marie-Cecile Fournier, Etienne Dantan
    http://arxiv.org/abs/1905.00816v1

    • [stat.AP]On two existing approaches to statistical analysis of social media data
    Martina Patone, Li-Chun Zhang
    http://arxiv.org/abs/1905.00635v1

    • [stat.AP]Using In-Game Shot Trajectories to Better Understand Defensive Impact in the NBA
    Luke Bornn, Daniel Daly-Grafstein
    http://arxiv.org/abs/1905.00822v1

    • [stat.ME]A Conditional Empirical Likelihood Based Method for Model Parameter Estimation from Complex survey Datasets
    Sanjay Chaudhuri, Mark S. Handcock
    http://arxiv.org/abs/1905.00803v1

    • [stat.ME]Total positivity in structured binary distributions
    Steffen Lauritzen, Caroline Uhler, Piotr Zwiernik
    http://arxiv.org/abs/1905.00516v1

    • [stat.ME]Two-sample inference for high-dimensional Markov networks
    Byol Kim, Song Liu, Mladen Kolar
    http://arxiv.org/abs/1905.00466v1

    • [stat.ME]Variational Bayesian Inference for Mixed Logit Models with Unobserved Inter- and Intra-Individual Heterogeneity
    Rico Krueger, Prateek Bansal, Michel Bierlaire, Ricardo A. Daziano, Taha H. Rashidi
    http://arxiv.org/abs/1905.00419v1

    • [stat.ML]A tutorial on recursive models for analyzing and predicting path choice behavior
    Maëlle Zimmermann, Emma Frejinger
    http://arxiv.org/abs/1905.00883v1

    • [stat.ML]Drug-Drug Adverse Effect Prediction with Graph Co-Attention
    Andreea Deac, Yu-Hsiang Huang, Petar Veličković, Pietro Liò, Jian Tang
    http://arxiv.org/abs/1905.00534v1

    • [stat.ML]Learning higher-order sequential structure with cloned HMMs
    Antoine Dedieu, Nishad Gothoskar, Scott Swingle, Wolfgang Lehrach, Miguel Lázaro-Gredilla, Dileep George
    http://arxiv.org/abs/1905.00507v1

    • [stat.ML]Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size!
    Niels Bruun Ipsen, Lars Kai Hansen
    http://arxiv.org/abs/1905.00709v1

    • [stat.ML]Semi-Conditional Normalizing Flows for Semi-Supervised Learning
    Andrei Atanov, Alexandra Volokhova, Arsenii Ashukha, Ivan Sosnovik, Dmitry Vetrov
    http://arxiv.org/abs/1905.00505v1

    • [stat.ML]You Only Propagate Once: Painless Adversarial Training Using Maximal Principle
    Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, Bin Dong
    http://arxiv.org/abs/1905.00877v1