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