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