cs.AI - 人工智能

    cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math-ph - 数学物理 math.AC - 交换代数 math.AT - 代数拓扑 math.MG -公制几何 math.OC - 优化与控制 math.ST - 统计理论 physics.atm-clus - 原子和分子团簇 physics.med-ph - 医学物理学 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A Syntactic Operator for Forgetting that Satisfies Strong Persistence
    • [cs.AI]An Implementation of a Non-monotonic Logic in an Embedded Computer for a Motor-glider
    • [cs.AI]Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language
    • [cs.AI]Towards a Theory of Intentions for Human-Robot Collaboration
    • [cs.CL]A Mathematical Model for Linguistic Universals
    • [cs.CL]Learning Question-Guided Video Representation for Multi-Turn Video Question Answering
    • [cs.CL]Lifelong and Interactive Learning of Factual Knowledge in Dialogues
    • [cs.CL]Normalyzing Numeronyms — A NLP approach
    • [cs.CL]On conducting better validation studies of automatic metrics in natural language generation evaluation
    • [cs.CL]Personalizing ASR for Dysarthric and Accented Speech with Limited Data
    • [cs.CL]SenseFitting: Sense Level Semantic Specialization of Word Embeddings for Word Sense Disambiguation
    • [cs.CL]Simple Unsupervised Summarization by Contextual Matching
    • [cs.CL]What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models
    • [cs.CR]HotPoW: Finality from Proof-of-Work Quorums
    • [cs.CR]MSNM-S: An Applied Network Monitoring Tool for Anomaly Detection in Complex Networks and Systems
    • [cs.CV]Auto-labelling of Markers in Optical Motion Capture by Permutation Learning
    • [cs.CV]Capsule Networks Need an Improved Routing Algorithm
    • [cs.CV]Competing Ratio Loss for Discriminative Multi-class Image Classification
    • [cs.CV]Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM
    • [cs.CV]Dressing 3D Humans using a Conditional Mesh-VAE-GAN
    • [cs.CV]EMPNet: Neural Localisation and Mapping using Embedded Memory Points
    • [cs.CV]Expectation-Maximization Attention Networks for Semantic Segmentation
    • [cs.CV]Incremental Learning Techniques for Semantic Segmentation
    • [cs.CV]Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking
    • [cs.CV]Landmark Detection in Low Resolution Faces with Semi-Supervised Learning
    • [cs.CV]Learned Collaborative Stereo Refinement
    • [cs.CV]Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition
    • [cs.CV]On the difficulty of learning and predicting the long-term dynamics of bouncing objects
    • [cs.CV]Online Multi-Object Tracking Framework with the GMPHD Filter and Occlusion Group Management
    • [cs.CV]Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
    • [cs.CV]Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI
    • [cs.CV]Rapid Light Field Depth Estimation with Semi-Global Matching
    • [cs.CV]Self-training with progressive augmentation for unsupervised cross-domain person re-identification
    • [cs.CV]Synthetic Image Augmentation for Improved Classification using Generative Adversarial Networks
    • [cs.CV]The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
    • [cs.CV]Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm
    • [cs.CV]Use What You Have: Video Retrieval Using Representations From Collaborative Experts
    • [cs.CV]Video Stitching for Linear Camera Arrays
    • [cs.CV]iCartoonFace: A Benchmark of Cartoon Person Recognition
    • [cs.DC]Blockguard: Adaptive Blockchain Security
    • [cs.DC]Cost-Driven Offloading for DNN-based Applications over Cloud, Edge and End Devices
    • [cs.DC]Deploying a Top-100 Supercomputer for Large Parallel Workloads: the Niagara Supercomputer
    • [cs.DC]Distributed Streaming Analytics on Large-scale Oceanographic Data using Apache Spark
    • [cs.DC]Transactional Properties of Permissioned Blockchains
    • [cs.DL]The demography of the peripatetic researcher: Evidence on highly mobile scholars from the Web of Science
    • [cs.DS]Binary Component Decomposition Part I: The Positive-Semidefinite Case
    • [cs.DS]Binary component decomposition Part II: The asymmetric case
    • [cs.DS]Deterministic coloring algorithms in the LOCAL model
    • [cs.DS]Evolutionary Dataset Optimisation: learning algorithm quality through evolution
    • [cs.HC]I-Keyboard: Fully Imaginary Keyboard on Touch Devices Empowered by Deep Neural Decoder
    • [cs.HC]VASSL: A Visual Analytics Toolkit for Social Spambot Labeling
    • [cs.IR]Attention-Wrapped Hierarchical BLSTMs for DDI Extraction
    • [cs.IR]Category-Aware Location Embedding for Point-of-Interest Recommendation
    • [cs.IR]Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness
    • [cs.IR]Semi-supervised Compatibility Learning Across Categories for Clothing Matching
    • [cs.IR]The Unfairness of Popularity Bias in Recommendation
    • [cs.IT]Compression and Acceleration of Neural Networks for Communications
    • [cs.IT]Intelligent Reflecting Surface Assisted Secrecy Communication via Joint Beamforming and Jamming
    • [cs.IT]Rate Splitting for Massive MIMO Multi-carrier system using Full Duplex Decode and Forward Relay with Hardware Impairments
    • [cs.IT]Study of Adaptive Activity-Aware Iterative Detection Techniques for Massive Machine-Type Communications
    • [cs.IT]Wireless Networked Control Systems with Coding-Free Data Transmission for Industrial IoT
    • [cs.LG]A Novel Multiple Classifier Generation and Combination Framework Based on Fuzzy Clustering and Individualized Ensemble Construction
    • [cs.LG]A Temporal Clustering Algorithm for Achieving the trade-off between the User Experience and the Equipment Economy in the Context of IoT
    • [cs.LG]A comparative study of general fuzzy min-max neural networks for pattern classification problems
    • [cs.LG]A novel framework of the fuzzy c-means distances problem based weighted distance
    • [cs.LG]Are Outlier Detection Methods Resilient to Sampling?
    • [cs.LG]Deep Learning Training on the Edge with Low-Precision Posits
    • [cs.LG]Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning
    • [cs.LG]Graph Space Embedding
    • [cs.LG]Influence Maximization with Few Simulations
    • [cs.LG]Inverse Reinforcement Learning with Multiple Ranked Experts
    • [cs.LG]Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space
    • [cs.LG]MineRL: A Large-Scale Dataset of Minecraft Demonstrations
    • [cs.LG]Multi-Agent Adversarial Inverse Reinforcement Learning
    • [cs.LG]Neural Network based Explicit Mixture Models and Expectation-maximization based Learning
    • [cs.LG]On Mutual Information Maximization for Representation Learning
    • [cs.LG]Optimal Attacks on Reinforcement Learning Policies
    • [cs.LG]Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training
    • [cs.LG]Privately Answering Classification Queries in the Agnostic PAC Model
    • [cs.LG]Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
    • [cs.LG]Wasserstein Robust Reinforcement Learning
    • [cs.NE]Competitive Co-evolution for Dynamic Constrained Optimisation
    • [cs.NE]Temporal coding in spiking neural networks with alpha synaptic function
    • [cs.NI]A rolling-horizon dynamic programming approach for collaborative caching
    • [cs.RO]A Stabilized Feedback Episodic Memory (SF-EM) and Home Service Provision Framework for Robot and IoT Collaboration
    • [cs.RO]Aerial Robot Control in Close Proximity to Ceiling: A Force Estimation-based Nonlinear MPC
    • [cs.RO]Disentangled Relational Representations for Explaining and Learning from Demonstration
    • [cs.RO]Improved Pose Graph Optimization for Planar Motions Using Riemannian Geometry on the Manifold of Dual Quaternions
    • [cs.RO]Trajectory Advancement during Human-Robot Collaboration
    • [cs.SD]Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation
    • [cs.SI]Link-centric analysis of variation by demographics in mobile phone communication patterns
    • [eess.AS]Multi-Frame Cross-Entropy Training for Convolutional Neural Networks in Speech Recognition
    • [eess.IV]Adversarial Test on Learnable Image Encryption
    • [eess.IV]Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation
    • [eess.IV]Robust Autocalibrated Structured Low-Rank EPI Ghost Correction
    • [eess.IV]Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement
    • [eess.IV]Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation
    • [eess.SP]Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals
    • [eess.SP]PrecoderNet: Hybrid Beamforming for Millimeter Wave Systems Using Deep Reinforcement Learning
    • [eess.SP]Two Efficient Beamformers for Secure Precise Jamming and Communication with Phase Alignment
    • [eess.SY]Stabilization of Linear Systems Across a Time-Varying AWGN Fading Channel
    • [math-ph]Isodiametry, variance, and regular simplices from particle interactions
    • [math.AC]A note on projective toric codes
    • [math.AT]Persistent Intersection Homology for the Analysis of Discrete Data
    • [math.AT]Topological Machine Learning with Persistence Indicator Functions
    • [math.MG]An Elastic Energy Minimization Framework for Mean Surface Calculation
    • [math.OC]Balanced Identification as an Intersection of Optimization and Distributed Computing
    • [math.OC]Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization
    • [math.OC]Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity
    • [math.OC]Robust stochastic optimization with the proximal point method
    • [math.ST]A Theoretical Case Study of Structured Variational Inference for Community Detection
    • [math.ST]Coupling and perturbation techniques for categorical time series
    • [math.ST]Kernel Density Estimation for Undirected Dyadic Data
    • [math.ST]Optimal Sequential Tests for Monitoring Changes in the Distribution of Finite Observation Sequences
    • [physics.atm-clus]Embedding Human Heuristics in Machine-Learning-Enabled Probe Microscopy
    • [physics.med-ph]Generative Adversarial Networks (GAN) for compact beam source modelling in Monte Carlo simulations
    • [stat.AP]An Alternative Formulation of Coxian Phase-type Distributions with Covariates: Application to Emergency Department Length of Stay
    • [stat.CO]Hug and Hop: a discrete-time, non-reversible Markov chain Monte Carlo algorithm
    • [stat.ME]Additive Bayesian variable selection under censoring and misspecification
    • [stat.ME]Ice Model Calibration Using Semi-continuous Spatial Data
    • [stat.ME]Incremental causal effects
    • [stat.ME]Multi-cause causal inference with unmeasured confounding and binary outcome
    • [stat.ME]Observation-centered Kalman filters
    • [stat.ME]Optimization-based quasi-uniform spherical t-design and generalized multitaper for complex physiological time series
    • [stat.ML]A Leisurely Look at Versions and Variants of the Cross Validation Estimator
    • [stat.ML]Learning over inherently distributed data
    • [stat.ML]Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization

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    • [cs.AI]A Syntactic Operator for Forgetting that Satisfies Strong Persistence
    Matti Berthold, Ricardo Gonçalves, Matthias Knorr, João Leite
    http://arxiv.org/abs/1907.12501v2

    • [cs.AI]An Implementation of a Non-monotonic Logic in an Embedded Computer for a Motor-glider
    José Luis Vilchis Medina, Pierre Siegel, Vincent Risch, Andrei Doncescu
    http://arxiv.org/abs/1907.13305v1

    • [cs.AI]Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language
    Yi Wang, Shiqi Zhang, Joohyung Lee
    http://arxiv.org/abs/1907.13482v1

    • [cs.AI]Towards a Theory of Intentions for Human-Robot Collaboration
    Rocio Gomez, Mohan Sridharan, Heather Riley
    http://arxiv.org/abs/1907.13275v1

    • [cs.CL]A Mathematical Model for Linguistic Universals
    Weinan E, Yajun Zhou
    http://arxiv.org/abs/1907.12293v2

    • [cs.CL]Learning Question-Guided Video Representation for Multi-Turn Video Question Answering
    Guan-Lin Chao, Abhinav Rastogi, Semih Yavuz, Dilek Hakkani-Tür, Jindong Chen, Ian Lane
    http://arxiv.org/abs/1907.13280v1

    • [cs.CL]Lifelong and Interactive Learning of Factual Knowledge in Dialogues
    Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma
    http://arxiv.org/abs/1907.13295v1

    • [cs.CL]Normalyzing Numeronyms — A NLP approach
    Avishek Garain, Sainik Kumar Mahata, Subhabrata Dutta
    http://arxiv.org/abs/1907.13356v1

    • [cs.CL]On conducting better validation studies of automatic metrics in natural language generation evaluation
    Johnny Tian-Zheng Wei
    http://arxiv.org/abs/1907.13362v1

    • [cs.CL]Personalizing ASR for Dysarthric and Accented Speech with Limited Data
    Joel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael Brenner, Julie Cattiau, Fernando Vieira, Maeve McNally, Taylor Charbonneau, Melissa Nollstadt, Avinatan Hassidim, Yossi Matias
    http://arxiv.org/abs/1907.13511v1

    • [cs.CL]SenseFitting: Sense Level Semantic Specialization of Word Embeddings for Word Sense Disambiguation
    Manuel Stoeckel, Sajawel Ahmed, Alexander Mehler
    http://arxiv.org/abs/1907.13237v1

    • [cs.CL]Simple Unsupervised Summarization by Contextual Matching
    Jiawei Zhou, Alexander M. Rush
    http://arxiv.org/abs/1907.13337v1

    • [cs.CL]What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models
    Allyson Ettinger
    http://arxiv.org/abs/1907.13528v1

    • [cs.CR]HotPoW: Finality from Proof-of-Work Quorums
    Patrik Keller, Rainer Böhme
    http://arxiv.org/abs/1907.13531v1

    • [cs.CR]MSNM-S: An Applied Network Monitoring Tool for Anomaly Detection in Complex Networks and Systems
    Roberto Magán-Carrión, José Camacho, Ángel Ruíz-Zafra
    http://arxiv.org/abs/1907.13612v1

    • [cs.CV]Auto-labelling of Markers in Optical Motion Capture by Permutation Learning
    Saeed Ghorbani, Ali Etemad, Nikolaus F. Troje
    http://arxiv.org/abs/1907.13580v1

    • [cs.CV]Capsule Networks Need an Improved Routing Algorithm
    Inyoung Paik, Taeyeong Kwak, Injung Kim
    http://arxiv.org/abs/1907.13327v1

    • [cs.CV]Competing Ratio Loss for Discriminative Multi-class Image Classification
    Ke Zhang, Xinsheng Wang, Yurong Guo, Zhenbing Zhao, Zhanyu Ma, Tony X. Han
    http://arxiv.org/abs/1907.13349v1

    • [cs.CV]Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM
    Bingbing Zhuang, Quoc-Huy Tran, Pan Ji, Gim Hee Lee, Loong Fah Cheong, Manmohan Chandraker
    http://arxiv.org/abs/1907.13185v1

    • [cs.CV]Dressing 3D Humans using a Conditional Mesh-VAE-GAN
    Qianli Ma, Siyu Tang, Sergi Pujades, Gerard Pons-Moll, Anurag Ranjan, Michael J. Black
    http://arxiv.org/abs/1907.13615v1

    • [cs.CV]EMPNet: Neural Localisation and Mapping using Embedded Memory Points
    Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond
    http://arxiv.org/abs/1907.13268v1

    • [cs.CV]Expectation-Maximization Attention Networks for Semantic Segmentation
    Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu
    http://arxiv.org/abs/1907.13426v1

    • [cs.CV]Incremental Learning Techniques for Semantic Segmentation
    Umberto Michieli, Pietro Zanuttigh
    http://arxiv.org/abs/1907.13372v1

    • [cs.CV]Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking
    Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler
    http://arxiv.org/abs/1907.13242v1

    • [cs.CV]Landmark Detection in Low Resolution Faces with Semi-Supervised Learning
    Amit Kumar, Rama Chellappa
    http://arxiv.org/abs/1907.13255v1

    • [cs.CV]Learned Collaborative Stereo Refinement
    Patrick Knöbelreiter, Thomas Pock
    http://arxiv.org/abs/1907.13391v1

    • [cs.CV]Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition
    Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen, Shilei Wen
    http://arxiv.org/abs/1907.13369v1

    • [cs.CV]On the difficulty of learning and predicting the long-term dynamics of bouncing objects
    Alberto Cenzato, Alberto Testolin, Marco Zorzi
    http://arxiv.org/abs/1907.13494v1

    • [cs.CV]Online Multi-Object Tracking Framework with the GMPHD Filter and Occlusion Group Management
    Young-min Song, Kwangjin Yoon, Young-Chul Yoon, Kin-Choong Yow, Moongu Jeon
    http://arxiv.org/abs/1907.13347v1

    • [cs.CV]Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
    Inyoung Paik, Sangjun Oh, Tae-Yeong Kwak, Injung Kim
    http://arxiv.org/abs/1907.13322v1

    • [cs.CV]Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI
    Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette
    http://arxiv.org/abs/1907.13524v1

    • [cs.CV]Rapid Light Field Depth Estimation with Semi-Global Matching
    Yuriy Anisimov, Oliver Wasenmüller, Didier Stricker
    http://arxiv.org/abs/1907.13449v1

    • [cs.CV]Self-training with progressive augmentation for unsupervised cross-domain person re-identification
    Xinyu Zhang, Jiewei Cao, Chunhua Shen, Mingyu You
    http://arxiv.org/abs/1907.13315v1

    • [cs.CV]Synthetic Image Augmentation for Improved Classification using Generative Adversarial Networks
    Keval Doshi
    http://arxiv.org/abs/1907.13576v1

    • [cs.CV]The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
    Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox
    http://arxiv.org/abs/1907.13236v1

    • [cs.CV]Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm
    Yihang Lou, Ling-Yu Duan, Yong Luo, Ziqian Chen, Tongliang Liu, Shiqi Wang, Wen Gao
    http://arxiv.org/abs/1907.13368v1

    • [cs.CV]Use What You Have: Video Retrieval Using Representations From Collaborative Experts
    Yang Liu, Samuel Albanie, Arsha Nagrani, Andrew Zisserman
    http://arxiv.org/abs/1907.13487v1

    • [cs.CV]Video Stitching for Linear Camera Arrays
    Wei-Sheng Lai, Orazio Gallo, Jinwei Gu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz
    http://arxiv.org/abs/1907.13622v1

    • [cs.CV]iCartoonFace: A Benchmark of Cartoon Person Recognition
    Shichao Li, Yi Zheng, Xiangju Lu, Bo Peng
    http://arxiv.org/abs/1907.13394v1

    • [cs.DC]Blockguard: Adaptive Blockchain Security
    Shishir Rai, Kendric Hood, Mikhail Nesterenko, Gokarna Sharma
    http://arxiv.org/abs/1907.13232v1

    • [cs.DC]Cost-Driven Offloading for DNN-based Applications over Cloud, Edge and End Devices
    Bin Lin, Yinhao Huang, Jianshan Zhang, Junqin Hu, Xing Chen, Jun Li
    http://arxiv.org/abs/1907.13306v1

    • [cs.DC]Deploying a Top-100 Supercomputer for Large Parallel Workloads: the Niagara Supercomputer
    Marcelo Ponce, Ramses van Zon, Scott Northrup, Daniel Gruner, Joseph Chen, Fatih Ertinaz, Alexey Fedoseev, Leslie Groer, Fei Mao, Bruno C. Mundim, Mike Nolta, Jaime Pinto, Marco Saldarriaga, Vladimir Slavnic, Erik Spence, Ching-Hsing Yu, W. Richard Peltier
    http://arxiv.org/abs/1907.13600v1

    • [cs.DC]Distributed Streaming Analytics on Large-scale Oceanographic Data using Apache Spark
    Janak Dahal, Elias Ioup, Shaikh Arifuzzaman, Mahdi Abdelguerfi
    http://arxiv.org/abs/1907.13264v1

    • [cs.DC]Transactional Properties of Permissioned Blockchains
    Ghareeb Falazi, Vikas Khinchi, Uwe Breitenbücher, Frank Leymann
    http://arxiv.org/abs/1907.13218v1

    • [cs.DL]The demography of the peripatetic researcher: Evidence on highly mobile scholars from the Web of Science
    Samin Aref, Emilio Zagheni, Jevin West
    http://arxiv.org/abs/1907.13414v1

    • [cs.DS]Binary Component Decomposition Part I: The Positive-Semidefinite Case
    Richard Kueng, Joel A. Tropp
    http://arxiv.org/abs/1907.13603v1

    • [cs.DS]Binary component decomposition Part II: The asymmetric case
    Richard Kueng, Joel A. Tropp
    http://arxiv.org/abs/1907.13602v1

    • [cs.DS]Deterministic coloring algorithms in the LOCAL model
    Dariusz R. Kowalski, Piotr Krysta
    http://arxiv.org/abs/1907.12857v2

    • [cs.DS]Evolutionary Dataset Optimisation: learning algorithm quality through evolution
    Henry Wilde, Vincent Knight, Jonathan Gillard
    http://arxiv.org/abs/1907.13508v1

    • [cs.HC]I-Keyboard: Fully Imaginary Keyboard on Touch Devices Empowered by Deep Neural Decoder
    Ue-Hwan Kim, Sahng-Min Yoo, Jong-Hwan Kim
    http://arxiv.org/abs/1907.13285v1

    • [cs.HC]VASSL: A Visual Analytics Toolkit for Social Spambot Labeling
    Mosab Khayat, Morteza Karimzadeh, Jieqiong Zhao, David S. Ebert
    http://arxiv.org/abs/1907.13319v1

    • [cs.IR]Attention-Wrapped Hierarchical BLSTMs for DDI Extraction
    Vahab Mostafapour, Oğuz Dikenelli
    http://arxiv.org/abs/1907.13561v1

    • [cs.IR]Category-Aware Location Embedding for Point-of-Interest Recommendation
    Hossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani
    http://arxiv.org/abs/1907.13376v1

    • [cs.IR]Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness
    Himan Abdollahpouri, Robin Burke
    http://arxiv.org/abs/1907.13158v1

    • [cs.IR]Semi-supervised Compatibility Learning Across Categories for Clothing Matching
    Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang
    http://arxiv.org/abs/1907.13304v1

    • [cs.IR]The Unfairness of Popularity Bias in Recommendation
    Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
    http://arxiv.org/abs/1907.13286v1

    • [cs.IT]Compression and Acceleration of Neural Networks for Communications
    Jiajia Guo, Jinghe Wang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
    http://arxiv.org/abs/1907.13269v1

    • [cs.IT]Intelligent Reflecting Surface Assisted Secrecy Communication via Joint Beamforming and Jamming
    Xinrong Guan, Qingqing Wu, Rui Zhang
    http://arxiv.org/abs/1907.12839v2

    • [cs.IT]Rate Splitting for Massive MIMO Multi-carrier system using Full Duplex Decode and Forward Relay with Hardware Impairments
    Vimal Radhakrishnan, Omid Taghizadeh, Rudolf Mathar
    http://arxiv.org/abs/1907.13381v1

    • [cs.IT]Study of Adaptive Activity-Aware Iterative Detection Techniques for Massive Machine-Type Communications
    R. B. Di Renna, R. C. de Lamare
    http://arxiv.org/abs/1907.13248v1

    • [cs.IT]Wireless Networked Control Systems with Coding-Free Data Transmission for Industrial IoT
    Wanchun Liu, Petar Popovski, Yonghui Li, Branka Vucetic
    http://arxiv.org/abs/1907.13297v1

    • [cs.LG]A Novel Multiple Classifier Generation and Combination Framework Based on Fuzzy Clustering and Individualized Ensemble Construction
    Zhen Gao, Maryam Zand, Jianhua Ruan
    http://arxiv.org/abs/1907.13353v1

    • [cs.LG]A Temporal Clustering Algorithm for Achieving the trade-off between the User Experience and the Equipment Economy in the Context of IoT
    Caio Ponte, Carlos Caminha, Rafael Bomfim, Ronaldo Moreira, Vasco Furtado
    http://arxiv.org/abs/1907.13246v1

    • [cs.LG]A comparative study of general fuzzy min-max neural networks for pattern classification problems
    Thanh Tung Khuat, Bogdan Gabrys
    http://arxiv.org/abs/1907.13308v1

    • [cs.LG]A novel framework of the fuzzy c-means distances problem based weighted distance
    Andy Arief Setyawan, Ahmad Ilham
    http://arxiv.org/abs/1907.13513v1

    • [cs.LG]Are Outlier Detection Methods Resilient to Sampling?
    Laure Berti-Equille, Ji Meng Loh, Saravanan Thirumuruganathan
    http://arxiv.org/abs/1907.13276v1

    • [cs.LG]Deep Learning Training on the Edge with Low-Precision Posits
    Hamed F. Langroudi, Zachariah Carmichael, Dhireesha Kudithipudi
    http://arxiv.org/abs/1907.13216v1

    • [cs.LG]Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning
    Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
    http://arxiv.org/abs/1907.13359v1

    • [cs.LG]Graph Space Embedding
    João Pereira, Albert Groen, Erik Stroes, Evgeni Levin
    http://arxiv.org/abs/1907.13443v1

    • [cs.LG]Influence Maximization with Few Simulations
    Gal Sadeh, Edith Cohen, Haim Kaplan
    http://arxiv.org/abs/1907.13301v1

    • [cs.LG]Inverse Reinforcement Learning with Multiple Ranked Experts
    Pablo Samuel Castro, Shijian Li, Daqing Zhang
    http://arxiv.org/abs/1907.13411v1

    • [cs.LG]Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space
    Tiago Botari, Rafael Izbicki, Andre C. P. L. F. de Carvalho
    http://arxiv.org/abs/1907.13525v1

    • [cs.LG]MineRL: A Large-Scale Dataset of Minecraft Demonstrations
    William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel, Manuela Veloso, Ruslan Salakhutdinov
    http://arxiv.org/abs/1907.13440v1

    • [cs.LG]Multi-Agent Adversarial Inverse Reinforcement Learning
    Lantao Yu, Jiaming Song, Stefano Ermon
    http://arxiv.org/abs/1907.13220v1

    • [cs.LG]Neural Network based Explicit Mixture Models and Expectation-maximization based Learning
    Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen
    http://arxiv.org/abs/1907.13432v1

    • [cs.LG]On Mutual Information Maximization for Representation Learning
    Michael Tschannen, Josip Djolonga, Paul K. Rubenstein, Sylvain Gelly, Mario Lucic
    http://arxiv.org/abs/1907.13625v1

    • [cs.LG]Optimal Attacks on Reinforcement Learning Policies
    Alessio Russo, Alexandre Proutiere
    http://arxiv.org/abs/1907.13548v1

    • [cs.LG]Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training
    Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar, Yaosheng Fu, Victor Zhang, Szymon Migacz, David Nellans, Puneet Gupta
    http://arxiv.org/abs/1907.13257v1

    • [cs.LG]Privately Answering Classification Queries in the Agnostic PAC Model
    Raef Bassily, Anupama Nandi
    http://arxiv.org/abs/1907.13553v1

    • [cs.LG]Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
    Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos
    http://arxiv.org/abs/1907.13177v1

    • [cs.LG]Wasserstein Robust Reinforcement Learning
    Mohammed Amin Abdullah, Hang Ren, Haitham Bou Ammar, Vladimir Milenkovic, Rui Luo, Mingtian Zhang, Jun Wang
    http://arxiv.org/abs/1907.13196v1

    • [cs.NE]Competitive Co-evolution for Dynamic Constrained Optimisation
    Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao
    http://arxiv.org/abs/1907.13529v1

    • [cs.NE]Temporal coding in spiking neural networks with alpha synaptic function
    Iulia M. Comsa, Krzysztof Potempa, Luca Versari, Thomas Fischbacher, Andrea Gesmundo, Jyrki Alakuijala
    http://arxiv.org/abs/1907.13223v1

    • [cs.NI]A rolling-horizon dynamic programming approach for collaborative caching
    Xinan Yang, Nikolaos Thomos
    http://arxiv.org/abs/1907.13516v1

    • [cs.RO]A Stabilized Feedback Episodic Memory (SF-EM) and Home Service Provision Framework for Robot and IoT Collaboration
    Ue-Hwan Kim, Jong-Hwan Kim
    http://arxiv.org/abs/1907.13274v1

    • [cs.RO]Aerial Robot Control in Close Proximity to Ceiling: A Force Estimation-based Nonlinear MPC
    Basaran Bahadir Kocer, Mehmet Efe Tiryaki, Mahardhika Pratama, Tegoeh Tjahjowidodo, Gerald Gim Lee Seet
    http://arxiv.org/abs/1907.13594v1

    • [cs.RO]Disentangled Relational Representations for Explaining and Learning from Demonstration
    Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy
    http://arxiv.org/abs/1907.13627v1

    • [cs.RO]Improved Pose Graph Optimization for Planar Motions Using Riemannian Geometry on the Manifold of Dual Quaternions
    Kailai Li, Johannes Cox, Benjamin Noack, Uwe D. Hanebeck
    http://arxiv.org/abs/1907.13566v1

    • [cs.RO]Trajectory Advancement during Human-Robot Collaboration
    Yeshasvi Tirupachuri, Gabriele Nava, Lorenzo Rapetti, Claudia Latella, Daniele Pucci
    http://arxiv.org/abs/1907.13445v1

    • [cs.SD]Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation
    Mark Thomas, Bruce Martin, Katie Kowarski, Briand Gaudet, Stan Matwin
    http://arxiv.org/abs/1907.13188v1

    • [cs.SI]Link-centric analysis of variation by demographics in mobile phone communication patterns
    Mikaela Irene Fudolig, Kunal Bhattacharya, Daniel Monsivais, Hang-Hyun Jo, Kimmo Kaski
    http://arxiv.org/abs/1907.13334v1

    • [eess.AS]Multi-Frame Cross-Entropy Training for Convolutional Neural Networks in Speech Recognition
    Tom Sercu, Neil Mallinar
    http://arxiv.org/abs/1907.13121v1

    • [eess.IV]Adversarial Test on Learnable Image Encryption
    MaungMaung AprilPyone, Warit Sirichotedumrong, Hitoshi Kiya
    http://arxiv.org/abs/1907.13342v1

    • [eess.IV]Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation
    Utku Ozbulak, Arnout Van Messem, Wesley De Neve
    http://arxiv.org/abs/1907.13124v1

    • [eess.IV]Robust Autocalibrated Structured Low-Rank EPI Ghost Correction
    Rodrigo A. Lobos, W. Scott Hoge, Ahsan Javed, Congyu Liao, Kawin Setsompop, Krishna S. Nayak, Justin P. Haldar
    http://arxiv.org/abs/1907.13261v1

    • [eess.IV]Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement
    Ryutaro Tanno, Daniel Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander
    http://arxiv.org/abs/1907.13418v1

    • [eess.IV]Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation
    Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, MingDe Lin, James S. Duncan
    http://arxiv.org/abs/1907.13590v1

    • [eess.SP]Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals
    Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao
    http://arxiv.org/abs/1907.13351v1

    • [eess.SP]PrecoderNet: Hybrid Beamforming for Millimeter Wave Systems Using Deep Reinforcement Learning
    Qisheng Wang, Keming Feng
    http://arxiv.org/abs/1907.13266v1

    • [eess.SP]Two Efficient Beamformers for Secure Precise Jamming and Communication with Phase Alignment
    Feng Shu, Lingling Zhu, Wenlong Cai, Tong Shen, Jinyong Lin, Shuo Zhang, Jiangzhou Wang
    http://arxiv.org/abs/1907.12070v2

    • [eess.SY]Stabilization of Linear Systems Across a Time-Varying AWGN Fading Channel
    Lanlan Su, Vijay Gupta, Graziano Chesi
    http://arxiv.org/abs/1907.13024v2

    • [math-ph]Isodiametry, variance, and regular simplices from particle interactions
    Tongseok Lim, Robert J McCann
    http://arxiv.org/abs/1907.13593v1

    • [math.AC]A note on projective toric codes
    Delio Jaramillo, Maria Vaz Pinto, Rafael H. Villarreal
    http://arxiv.org/abs/1907.13217v1

    • [math.AT]Persistent Intersection Homology for the Analysis of Discrete Data
    Bastian Rieck, Markus Banagl, Filip Sadlo, Heike Leitte
    http://arxiv.org/abs/1907.13485v1

    • [math.AT]Topological Machine Learning with Persistence Indicator Functions
    Bastian Rieck, Filip Sadlo, Heike Leitte
    http://arxiv.org/abs/1907.13496v1

    • [math.MG]An Elastic Energy Minimization Framework for Mean Surface Calculation
    Jozsef Molnar, Peter Horvath
    http://arxiv.org/abs/1907.13557v1

    • [math.OC]Balanced Identification as an Intersection of Optimization and Distributed Computing
    Alexander Sokolov, Vladimir Voloshinov
    http://arxiv.org/abs/1907.13444v1

    • [math.OC]Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization
    Sumeet Singh, Spencer M. Richards, Vikas Sindhwani, Jean-Jacques E. Slotine, Marco Pavone
    http://arxiv.org/abs/1907.13122v1

    • [math.OC]Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity
    Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
    http://arxiv.org/abs/1907.13463v1

    • [math.OC]Robust stochastic optimization with the proximal point method
    Damek Davis, Dmitriy Drusvyatskiy
    http://arxiv.org/abs/1907.13307v1

    • [math.ST]A Theoretical Case Study of Structured Variational Inference for Community Detection
    Mingzhang Yin, Y. X. Rachel Wang, Purnamrita Sarkar
    http://arxiv.org/abs/1907.12203v2

    • [math.ST]Coupling and perturbation techniques for categorical time series
    Lionel Truquet
    http://arxiv.org/abs/1907.13533v1

    • [math.ST]Kernel Density Estimation for Undirected Dyadic Data
    Bryan S. Graham, Fengshi Niu, James L. Powell
    http://arxiv.org/abs/1907.13630v1

    • [math.ST]Optimal Sequential Tests for Monitoring Changes in the Distribution of Finite Observation Sequences
    Dong Han, Fugee Tsung, Jinguo Xian
    http://arxiv.org/abs/1907.13421v1

    • [physics.atm-clus]Embedding Human Heuristics in Machine-Learning-Enabled Probe Microscopy
    O. Gordon, F. Junqueira, P. Moriarty
    http://arxiv.org/abs/1907.13401v1

    • [physics.med-ph]Generative Adversarial Networks (GAN) for compact beam source modelling in Monte Carlo simulations
    David Sarrut, Nils Krah, Jean-Michel Létang
    http://arxiv.org/abs/1907.13324v1

    • [stat.AP]An Alternative Formulation of Coxian Phase-type Distributions with Covariates: Application to Emergency Department Length of Stay
    Jean Rizk, Kevin Burke, Cathal Walsh
    http://arxiv.org/abs/1907.13489v1

    • [stat.CO]Hug and Hop: a discrete-time, non-reversible Markov chain Monte Carlo algorithm
    Matthew Ludkin, Chris Sherlock
    http://arxiv.org/abs/1907.13570v1

    • [stat.ME]Additive Bayesian variable selection under censoring and misspecification
    David Rossell, Francisco Javier Rubio
    http://arxiv.org/abs/1907.13563v1

    • [stat.ME]Ice Model Calibration Using Semi-continuous Spatial Data
    Won Chang, Bledar A. Konomi, Georgios Karagiannis, Yawen Guan, Murali Haran
    http://arxiv.org/abs/1907.13554v1

    • [stat.ME]Incremental causal effects
    Dominik Rothenhäusler, Bin Yu
    http://arxiv.org/abs/1907.13258v1

    • [stat.ME]Multi-cause causal inference with unmeasured confounding and binary outcome
    Dehan Kong, Shu Yang, Linbo Wang
    http://arxiv.org/abs/1907.13323v1

    • [stat.ME]Observation-centered Kalman filters
    John T. Kent, Shambo Bhattacharjee, Weston R. Faber, Islam I. Hussein
    http://arxiv.org/abs/1907.13501v1

    • [stat.ME]Optimization-based quasi-uniform spherical t-design and generalized multitaper for complex physiological time series
    Matt Sourisseau, Yu Guang Wang, Hau-Tieng Wu, Wei-Hsuan Yu
    http://arxiv.org/abs/1907.13493v1

    • [stat.ML]A Leisurely Look at Versions and Variants of the Cross Validation Estimator
    Waleed A. Yousef
    http://arxiv.org/abs/1907.13413v1

    • [stat.ML]Learning over inherently distributed data
    Donghui Yan, Ying Xu
    http://arxiv.org/abs/1907.13208v1

    • [stat.ML]Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization
    Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra
    http://arxiv.org/abs/1907.13616v1