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.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-fin.TR - 贸易与市场微观结构 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots
    • [cs.AI]Ensemble-Based Deep Reinforcement Learning for Chatbots
    • [cs.CL]A survey of cross-lingual features for zero-shot cross-lingual semantic parsing
    • [cs.CL]An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation
    • [cs.CL]Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty
    • [cs.CL]Data Augmentation with Atomic Templates for Spoken Language Understanding
    • [cs.CL]DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks
    • [cs.CL]Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension
    • [cs.CL]Emotion Detection with Neural Personal Discrimination
    • [cs.CL]Ensemble approach for natural language question answering problem
    • [cs.CL]Exploiting Multiple Embeddings for Chinese Named Entity Recognition
    • [cs.CL]Facet-Aware Evaluation for Extractive Text Summarization
    • [cs.CL]Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog
    • [cs.CL]Interactive Machine Comprehension with Information Seeking Agents
    • [cs.CL]Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks
    • [cs.CL]Language Tasks and Language Games: On Methodology in Current Natural Language Processing Research
    • [cs.CL]Multi-Layer Softmaxing during Training Neural Machine Translation for Flexible Decoding with Fewer Layers
    • [cs.CL]Onto Word Segmentation of the Complete Tang Poems
    • [cs.CL]Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
    • [cs.CL]Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings
    • [cs.CR]Confidential Deep Learning: Executing Proprietary Models on Untrusted Devices
    • [cs.CR]On Inferring Training Data Attributes in Machine Learning Models
    • [cs.CV]A Global-Local Emebdding Module for Fashion Landmark Detection
    • [cs.CV]Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding
    • [cs.CV]Adversarial Representation Learning for Text-to-Image Matching
    • [cs.CV]An Effective and Efficient Method for Detecting Hands in Egocentric Videos for Rehabilitation Applications
    • [cs.CV]Attention-based Fusion for Outfit Recommendation
    • [cs.CV]BioFaceNet: Deep Biophysical Face Image Interpretation
    • [cs.CV]CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing
    • [cs.CV]Consistent Cross-view Matching for Unsupervised Person Re-identification
    • [cs.CV]Cross-sensor Pore Detection in High-resolution Fingerprint Images using Unsupervised Domain Adaptation
    • [cs.CV]Explainable Video Action Reasoning via Prior Knowledge and State Transitions
    • [cs.CV]Facial age estimation by deep residual decision making
    • [cs.CV]Fast Video Object Segmentation via Mask Transfer Network
    • [cs.CV]Fingerspelling recognition in the wild with iterative visual attention
    • [cs.CV]Image Captioning with Sparse Recurrent Neural Network
    • [cs.CV]Image Harmonization Datasets: HCOCO, HAdobe5k, HFlickr, and Hday2night
    • [cs.CV]Improving Visual Feature Extraction in Glacial Environments
    • [cs.CV]Large Scale Landmark Recognition via Deep Metric Learning
    • [cs.CV]Learning Reinforced Attentional Representation for End-to-End Visual Tracking
    • [cs.CV]Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification
    • [cs.CV]Orthogonal Center Learning with Subspace Masking for Person Re-Identification
    • [cs.CV]SPair-71k: A Large-scale Benchmark for Semantic Correspondence
    • [cs.CV]Self-Supervised Representation Learning via Neighborhood-Relational Encoding
    • [cs.CV]Self-supervised blur detection from synthetically blurred scenes
    • [cs.CV]Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
    • [cs.DC]Asynchronous Consensus Without Rounds
    • [cs.DC]Blockchain-based Personal Data Management: From Fiction to Solution
    • [cs.DC]Parallel and Scalable Precise Clustering for Homologous Protein Discovery
    • [cs.DC]Singletons for Simpletons: Revisiting Windowed Backoff using Chernoff Bounds
    • [cs.DC]Strongly Linearizable Implementations of Snapshots and Other Types
    • [cs.DC]UWB-GCN: Hardware Acceleration of Graph-Convolution-Network through Runtime Workload Rebalancing
    • [cs.GT]Persuading Voters: It’s Easy to Whisper, It’s Hard to Speak Loud
    • [cs.HC]Caring for Alzheimer’s Disease Caregivers: A Qualitative Study Investigating Opportunities for Exergame Innovation
    • [cs.HC]The Rise and Fall of the Note: Changing Paper Lengths in ACM CSCW, 2000-2018
    • [cs.IR]$VJA\dot{G}\dot{G}$ — A Thick-Client Smart-Phone Journey Detection Algorithm
    • [cs.IR]Explore Entity Embedding Effectiveness in Entity Retrieval
    • [cs.IR]Hierarchical Text Classification with Reinforced Label Assignment
    • [cs.IR]How big can style be? Addressing high dimensionality for recommending with style
    • [cs.IR]Semantic Hypergraphs
    • [cs.IR]Techniques for Inverted Index Compression
    • [cs.IT]$X$-secure $T$-private Information Retrieval from MDS Coded Storage with Byzantine and Unresponsive Servers
    • [cs.IT]A Universal Splitting Estimator for the Performance Evaluation of Wireless Communications Systems
    • [cs.IT]A Whittle Index Approach to Minimizing Functions of Age of Information
    • [cs.IT]Downlink Analysis for the Typical Cell in Poisson Cellular Networks
    • [cs.IT]Efficient Decoding of Interleaved Low-Rank Parity-Check Codes
    • [cs.IT]Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models
    • [cs.IT]On Coded Caching with Private Demands
    • [cs.IT]Successive Cancellation List Decoding of Product Codes with Reed-Muller Component Codes
    • [cs.IT]User Pairing, Link Selection and Power Allocation for Cooperative NOMA Hybrid VLC/RF Systems
    • [cs.LG]A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits
    • [cs.LG]Automated Architecture Design for Deep Neural Networks
    • [cs.LG]Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks
    • [cs.LG]Complex Deep Learning Models for Denoising of Human Heart ECG signals
    • [cs.LG]Data ultrametricity and clusterability
    • [cs.LG]Deep Actor-Critic Reinforcement Learning for Anomaly Detection
    • [cs.LG]Emotion Recognition in Low-Resource Settings: An Evaluation of Automatic Feature Selection Methods
    • [cs.LG]Exploration-Enhanced POLITEX
    • [cs.LG]Heterogeneous Domain Adaptation via Soft Transfer Network
    • [cs.LG]Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining
    • [cs.LG]Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure
    • [cs.LG]Networked Control of Nonlinear Systems under Partial Observation Using Continuous Deep Q-Learning
    • [cs.LG]New Loss Functions for Fast Maximum Inner Product Search
    • [cs.LG]O-MedAL: Online Active Deep Learning for Medical Image Analysis
    • [cs.LG]On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms
    • [cs.LG]Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification
    • [cs.LG]Rényi Differential Privacy of the Sampled Gaussian Mechanism
    • [cs.LG]Similarity Kernel and Clustering via Random Projection Forests
    • [cs.LG]Stochastic AUC Maximization with Deep Neural Networks
    • [cs.LG]The Function Representation of Artificial Neural Network
    • [cs.LO]Extending Description Logic EL++ with Linear Constraints on the Probability of Axioms
    • [cs.MA]STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control
    • [cs.MM]False News Detection on Social Media
    • [cs.NE]A Search for the Underlying Equation Governing Similar Systems
    • [cs.RO]A Planning Framework for Persistent, Multi-UAV Coverage with Global Deconfliction
    • [cs.RO]An Online Evolving Framework for Modeling the Safe Autonomous Vehicle Control System via Online Recognition of Latent Risks
    • [cs.RO]DMP++: Overcoming Some Drawbacks of Dynamic Movement Primitives
    • [cs.RO]Driving Intention Recognition and Lane Change Prediction on the Highway
    • [cs.RO]Fast and Robust Initialization for Visual-Inertial SLAM
    • [cs.RO]Research on Autonomous Maneuvering Decision of UCAV based on Approximate Dynamic Programming
    • [cs.RO]Search and Rescue under the Forest Canopy using Multiple UAVs
    • [cs.SE]Modular Verification of Autonomous Space Robotics
    • [cs.SE]On Distributed Runtime Verification by Aggregate Computing
    • [cs.SE]On building an automated responding system for app reviews: What are the characteristics of reviews and their responses?
    • [cs.SI]A Longitudinal Analysis of University Rankings
    • [cs.SI]Effective and Efficient Network Embedding Initialization via Graph Partitioning
    • [cs.SI]Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries
    • [cs.SI]Streaming and Batch Algorithms for Truss Decomposition
    • [econ.EM]Micro Forecasting
    • [econ.EM]Theory of Weak Identification in Semiparametric Models
    • [eess.IV]A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining
    • [eess.IV]Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays
    • [eess.IV]CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
    • [eess.IV]DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks
    • [eess.IV]Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation
    • [eess.IV]Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
    • [eess.IV]Method and System for Image Analysis to Detect Cancer
    • [eess.IV]Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging
    • [eess.IV]Transfer Learning from Partial Annotations for Whole Brain Segmentation
    • [eess.SP]A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
    • [eess.SP]Physical Layer Key Generation in 5G Wireless Networks
    • [math.OC]Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes
    • [math.ST]Changepoint in Linear Relations
    • [math.ST]Convergence of U-Processes in Hölder Spaces with Application to Robust Detection of a Changed Segment
    • [physics.comp-ph]Machine-learning techniques for the optimal design of acoustic metamaterials
    • [physics.med-ph]SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventions
    • [physics.soc-ph]Centrality-based identification of important edges in complex networks
    • [q-bio.NC]Intuitive Neuromyoelectric Control of a Dexterous Bionic Arm Using a Modified Kalman Filter
    • [q-fin.TR]Reinforcement Learning: Prediction, Control and Value Function Approximation
    • [stat.AP]A calibration method structured on Bayesian Inference of the HCM speed-flow relationship for freeways and multilane highways and a temporal analysis of traffic behavior
    • [stat.AP]Outreach Strategies for Vaccine Distribution: A Two-Period Robust Approach
    • [stat.AP]Rethinking meta-analysis: assessing case-mix heterogeneity when combining treatment effects across patient populations
    • [stat.ME]Efficient estimation of optimal regimes under a no direct effect assumption
    • [stat.ME]On the overestimation of widely applicable Bayesian information criterion
    • [stat.ME]Quantifying treatment differences in confirmatory trials with delayed effects
    • [stat.ME]Unit Level Modeling of Survey Data for Small Area Estimation Under Informative Sampling: A Comprehensive Overview with Extensions
    • [stat.ML]An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
    • [stat.ML]Feature Gradients: Scalable Feature Selection via Discrete Relaxation
    • [stat.ML]High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm
    • [stat.ML]Lecture Notes: Selected topics on robust statistical learning theory
    • [stat.ML]Linear Convergence of Adaptive Stochastic Gradient Descent
    • [stat.ML]Multi-Objective Automatic Machine Learning with AutoxgboostMC

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    • [cs.AI]A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots
    Heriberto Cuayáhuitl
    http://arxiv.org/abs/1908.10398v1

    • [cs.AI]Ensemble-Based Deep Reinforcement Learning for Chatbots
    Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Yongjin Cho, Sungja Choi, Satish Indurthi, Seunghak Yu, Hyungtak Choi, Inchul Hwang, Jihie Kim
    http://arxiv.org/abs/1908.10422v1

    • [cs.CL]A survey of cross-lingual features for zero-shot cross-lingual semantic parsing
    Jingfeng Yang, Federico Fancellu, Bonnie Webber
    http://arxiv.org/abs/1908.10461v1

    • [cs.CL]An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation
    Wanyu Du, Yangfeng Ji
    http://arxiv.org/abs/1908.10835v1

    • [cs.CL]Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty
    Chao-Lin Liu, Yi Chang
    http://arxiv.org/abs/1908.10606v1

    • [cs.CL]Data Augmentation with Atomic Templates for Spoken Language Understanding
    Zijian Zhao, Su Zhu, Kai Yu
    http://arxiv.org/abs/1908.10770v1

    • [cs.CL]DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks
    Semih Yavuz, Abhinav Rastogi, Guan-Lin Chao, Dilek Hakkani-Tur
    http://arxiv.org/abs/1908.10731v1

    • [cs.CL]Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension
    Todor Mihaylov, Anette Frank
    http://arxiv.org/abs/1908.10721v1

    • [cs.CL]Emotion Detection with Neural Personal Discrimination
    Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang
    http://arxiv.org/abs/1908.10703v1

    • [cs.CL]Ensemble approach for natural language question answering problem
    Anna Aniol, Marcin Pietron
    http://arxiv.org/abs/1908.09720v2

    • [cs.CL]Exploiting Multiple Embeddings for Chinese Named Entity Recognition
    Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li
    http://arxiv.org/abs/1908.10657v1

    • [cs.CL]Facet-Aware Evaluation for Extractive Text Summarization
    Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han
    http://arxiv.org/abs/1908.10383v1

    • [cs.CL]Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog
    Ryuichi Takanobu, Hanlin Zhu, Minlie Huang
    http://arxiv.org/abs/1908.10719v1

    • [cs.CL]Interactive Machine Comprehension with Information Seeking Agents
    Xingdi Yuan, Jie Fu, Marc-Alexandre Cote, Yi Tay, Christopher Pal, Adam Trischler
    http://arxiv.org/abs/1908.10449v1

    • [cs.CL]Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks
    Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos
    http://arxiv.org/abs/1908.10423v1

    • [cs.CL]Language Tasks and Language Games: On Methodology in Current Natural Language Processing Research
    David Schlangen
    http://arxiv.org/abs/1908.10747v1

    • [cs.CL]Multi-Layer Softmaxing during Training Neural Machine Translation for Flexible Decoding with Fewer Layers
    Raj Dabre, Atsushi Fujita
    http://arxiv.org/abs/1908.10118v2

    • [cs.CL]Onto Word Segmentation of the Complete Tang Poems
    Chao-Lin Liu
    http://arxiv.org/abs/1908.10621v1

    • [cs.CL]Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
    He He, Sheng Zha, Haohan Wang
    http://arxiv.org/abs/1908.10763v1

    • [cs.CL]Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings
    Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig
    http://arxiv.org/abs/1908.10430v1

    • [cs.CR]Confidential Deep Learning: Executing Proprietary Models on Untrusted Devices
    Peter M. VanNostrand, Ioannis Kyriazis, Michelle Cheng, Tian Guo, Robert J. Walls
    http://arxiv.org/abs/1908.10730v1

    • [cs.CR]On Inferring Training Data Attributes in Machine Learning Models
    Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Raghav Bhaskar, Mohamed Ali Kaafar
    http://arxiv.org/abs/1908.10558v1

    • [cs.CV]A Global-Local Emebdding Module for Fashion Landmark Detection
    Sumin Lee, Sungchan Oh, Chanho Jung, Changick Kim
    http://arxiv.org/abs/1908.10548v1

    • [cs.CV]Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding
    Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Dechao Meng, Qingming Huang
    http://arxiv.org/abs/1908.10568v1

    • [cs.CV]Adversarial Representation Learning for Text-to-Image Matching
    Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris
    http://arxiv.org/abs/1908.10534v1

    • [cs.CV]An Effective and Efficient Method for Detecting Hands in Egocentric Videos for Rehabilitation Applications
    Ryan J. Visée, Jirapat Likitlersuang, José Zariffa
    http://arxiv.org/abs/1908.10406v1

    • [cs.CV]Attention-based Fusion for Outfit Recommendation
    Katrien Laenen, Marie-Francine Moens
    http://arxiv.org/abs/1908.10585v1

    • [cs.CV]BioFaceNet: Deep Biophysical Face Image Interpretation
    Sarah Alotaibi, William Smith
    http://arxiv.org/abs/1908.10578v1

    • [cs.CV]CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing
    Shifeng Zhang, Ajian Liu, Jun Wan, Yanyan Liang, Guogong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z. Li
    http://arxiv.org/abs/1908.10654v1

    • [cs.CV]Consistent Cross-view Matching for Unsupervised Person Re-identification
    Xueping Wang, Rameswar Panda, Min Liu, Amit K Roy-Chowdhury
    http://arxiv.org/abs/1908.10486v1

    • [cs.CV]Cross-sensor Pore Detection in High-resolution Fingerprint Images using Unsupervised Domain Adaptation
    Vijay Anand, Vivek Kanhangad
    http://arxiv.org/abs/1908.10701v1

    • [cs.CV]Explainable Video Action Reasoning via Prior Knowledge and State Transitions
    Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan Kankanhalli
    http://arxiv.org/abs/1908.10700v1

    • [cs.CV]Facial age estimation by deep residual decision making
    Shichao Li, Kwang-Ting Cheng
    http://arxiv.org/abs/1908.10737v1

    • [cs.CV]Fast Video Object Segmentation via Mask Transfer Network
    Tao Zhuo, Zhiyong Cheng, Mohan Kankanhalli
    http://arxiv.org/abs/1908.10717v1

    • [cs.CV]Fingerspelling recognition in the wild with iterative visual attention
    Bowen Shi, Aurora Martinez Del Rio, Jonathan Keane, Diane Brentari, Greg Shakhnarovich, Karen Livescu
    http://arxiv.org/abs/1908.10546v1

    • [cs.CV]Image Captioning with Sparse Recurrent Neural Network
    Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah
    http://arxiv.org/abs/1908.10797v1

    • [cs.CV]Image Harmonization Datasets: HCOCO, HAdobe5k, HFlickr, and Hday2night
    Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, Liqing Zhang
    http://arxiv.org/abs/1908.10526v1

    • [cs.CV]Improving Visual Feature Extraction in Glacial Environments
    Steven D. Morad, Jeremy Nash, Shoya Higa, Russell Smith, Aaron Parness, Kobus Barnard
    http://arxiv.org/abs/1908.10425v1

    • [cs.CV]Large Scale Landmark Recognition via Deep Metric Learning
    Andrei Boiarov, Eduard Tyantov
    http://arxiv.org/abs/1908.10192v2

    • [cs.CV]Learning Reinforced Attentional Representation for End-to-End Visual Tracking
    Peng Gao, Qiquan Zhang, Liyi Xiao, Yan Zhang, Fei Wang
    http://arxiv.org/abs/1908.10009v2

    • [cs.CV]Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification
    Saurabh Kumar, Biplab Banerjee, Subhasis Chaudhuri
    http://arxiv.org/abs/1908.10559v1

    • [cs.CV]Orthogonal Center Learning with Subspace Masking for Person Re-Identification
    Weinong Wang, Wenjie Pei, Qiong Cao, Shu Liu, Xiaoyong Shen, Yu-Wing Tai
    http://arxiv.org/abs/1908.10535v1

    • [cs.CV]SPair-71k: A Large-scale Benchmark for Semantic Correspondence
    Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho
    http://arxiv.org/abs/1908.10543v1

    • [cs.CV]Self-Supervised Representation Learning via Neighborhood-Relational Encoding
    Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli
    http://arxiv.org/abs/1908.10455v1

    • [cs.CV]Self-supervised blur detection from synthetically blurred scenes
    Aitor Alvarez-Gila, Adrian Galdran, Estibaliz Garrote, Joost van de Weijer
    http://arxiv.org/abs/1908.10638v1

    • [cs.CV]Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
    Jia-Wang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian Reid
    http://arxiv.org/abs/1908.10553v1

    • [cs.DC]Asynchronous Consensus Without Rounds
    Robbert van Renesse
    http://arxiv.org/abs/1908.10716v1

    • [cs.DC]Blockchain-based Personal Data Management: From Fiction to Solution
    Nguyen Truong, Kai Sun, Yike Guo
    http://arxiv.org/abs/1908.10630v1

    • [cs.DC]Parallel and Scalable Precise Clustering for Homologous Protein Discovery
    Stuart Byma, Akash Dhasade, Adrian Altenhoff, Christophe Dessimoz, James R. Larus
    http://arxiv.org/abs/1908.10574v1

    • [cs.DC]Singletons for Simpletons: Revisiting Windowed Backoff using Chernoff Bounds
    Qian M. Zhou, Aiden Calvert, Maxwell Young
    http://arxiv.org/abs/1908.10388v1

    • [cs.DC]Strongly Linearizable Implementations of Snapshots and Other Types
    Sean Ovens, Philipp Woelfel
    http://arxiv.org/abs/1908.10826v1

    • [cs.DC]UWB-GCN: Hardware Acceleration of Graph-Convolution-Network through Runtime Workload Rebalancing
    Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Antonino Tumeo, Martin Herbordt
    http://arxiv.org/abs/1908.10834v1

    • [cs.GT]Persuading Voters: It’s Easy to Whisper, It’s Hard to Speak Loud
    Matteo Castiglioni, Andrea Celli, Nicola Gatti
    http://arxiv.org/abs/1908.10620v1

    • [cs.HC]Caring for Alzheimer’s Disease Caregivers: A Qualitative Study Investigating Opportunities for Exergame Innovation
    Elizabeth Stowell, Yixuan Zhang, Carmen Castaneda-Sceppa, Margie Lachman, Andrea G. Parker
    http://arxiv.org/abs/1908.09984v1

    • [cs.HC]The Rise and Fall of the Note: Changing Paper Lengths in ACM CSCW, 2000-2018
    R. Stuart Geiger
    http://arxiv.org/abs/1908.10808v1

    • [cs.IR]$VJA\dot{G}\dot{G}$ — A Thick-Client Smart-Phone Journey Detection Algorithm
    Michael P. J. Camilleri, Adrian Muscat, Victor J. Buttigieg, Maria Attard
    http://arxiv.org/abs/1908.10725v1

    • [cs.IR]Explore Entity Embedding Effectiveness in Entity Retrieval
    Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu
    http://arxiv.org/abs/1908.10554v1

    • [cs.IR]Hierarchical Text Classification with Reinforced Label Assignment
    Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren
    http://arxiv.org/abs/1908.10419v1

    • [cs.IR]How big can style be? Addressing high dimensionality for recommending with style
    Diogo Goncalves, Liweu Liu, Ana Magalhães
    http://arxiv.org/abs/1908.10642v1

    • [cs.IR]Semantic Hypergraphs
    Telmo Menezes, Camille Roth
    http://arxiv.org/abs/1908.10784v1

    • [cs.IR]Techniques for Inverted Index Compression
    Giulio Ermanno Pibiri, Rossano Venturini
    http://arxiv.org/abs/1908.10598v1

    • [cs.IT]$X$-secure $T$-private Information Retrieval from MDS Coded Storage with Byzantine and Unresponsive Servers
    Zhuqing Jia, Syed A. Jafar
    http://arxiv.org/abs/1908.10854v1

    • [cs.IT]A Universal Splitting Estimator for the Performance Evaluation of Wireless Communications Systems
    Nadhir Ben Rached, Daniel MacKinlay, Zdravko Botev, Raul Tempone, Mohamed-Slim Alouini
    http://arxiv.org/abs/1908.10616v1

    • [cs.IT]A Whittle Index Approach to Minimizing Functions of Age of Information
    Vishrant Tripathi, Eytan Modiano
    http://arxiv.org/abs/1908.10438v1

    • [cs.IT]Downlink Analysis for the Typical Cell in Poisson Cellular Networks
    Praful D. Mankar, Priyabrata Parida, Harpreet S. Dhillon, Martin Haenggi
    http://arxiv.org/abs/1908.10684v1

    • [cs.IT]Efficient Decoding of Interleaved Low-Rank Parity-Check Codes
    Julian Renner, Thomas Jerkovits, Hannes Bartz
    http://arxiv.org/abs/1908.10839v1

    • [cs.IT]Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models
    Zhaoqiang Liu, Jonathan Scarlett
    http://arxiv.org/abs/1908.10744v1

    • [cs.IT]On Coded Caching with Private Demands
    Kai Wan, Giuseppe Caire
    http://arxiv.org/abs/1908.10821v1

    • [cs.IT]Successive Cancellation List Decoding of Product Codes with Reed-Muller Component Codes
    Mustafa Cemil Coşkun, Thomas Jerkovits, Gianluigi Liva
    http://arxiv.org/abs/1908.10397v1

    • [cs.IT]User Pairing, Link Selection and Power Allocation for Cooperative NOMA Hybrid VLC/RF Systems
    Mohanad Obeed, Hayssam Dahrouj, Anas M. Salhab, Salam A. Zummo, Mohamed-Slim Alouini
    http://arxiv.org/abs/1908.10803v1

    • [cs.LG]A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits
    Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim
    http://arxiv.org/abs/1908.10402v1

    • [cs.LG]Automated Architecture Design for Deep Neural Networks
    Steven Abreu
    http://arxiv.org/abs/1908.10714v1

    • [cs.LG]Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks
    Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang
    http://arxiv.org/abs/1908.10611v1

    • [cs.LG]Complex Deep Learning Models for Denoising of Human Heart ECG signals
    Corneliu Arsene
    http://arxiv.org/abs/1908.10417v1

    • [cs.LG]Data ultrametricity and clusterability
    Dan Simovici, Kaixun Hua
    http://arxiv.org/abs/1908.10833v1

    • [cs.LG]Deep Actor-Critic Reinforcement Learning for Anomaly Detection
    Chen Zhong, M. Cenk Gursoy, Senem Velipasalar
    http://arxiv.org/abs/1908.10755v1

    • [cs.LG]Emotion Recognition in Low-Resource Settings: An Evaluation of Automatic Feature Selection Methods
    Fasih Haider, Senja Pollak, Pierre Albert, Saturnino Luz
    http://arxiv.org/abs/1908.10623v1

    • [cs.LG]Exploration-Enhanced POLITEX
    Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvari, Gellert Weisz
    http://arxiv.org/abs/1908.10479v1

    • [cs.LG]Heterogeneous Domain Adaptation via Soft Transfer Network
    Yuan Yao, Yu Zhang, Xutao Li, Yunming Ye
    http://arxiv.org/abs/1908.10552v1

    • [cs.LG]Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining
    Ítalo Gomes Santana
    http://arxiv.org/abs/1908.10705v1

    • [cs.LG]Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure
    Vikas K. Garg, Inderjit S. Dhillon, Hsiang-Fu Yu
    http://arxiv.org/abs/1908.10408v1

    • [cs.LG]Networked Control of Nonlinear Systems under Partial Observation Using Continuous Deep Q-Learning
    Junya Ikemoto, Toshimitsu Ushio
    http://arxiv.org/abs/1908.10722v1

    • [cs.LG]New Loss Functions for Fast Maximum Inner Product Search
    Ruiqi Guo, Quan Geng, David Simcha, Felix Chern, Sanjiv Kumar, Xiang Wu
    http://arxiv.org/abs/1908.10396v1

    • [cs.LG]O-MedAL: Online Active Deep Learning for Medical Image Analysis
    Asim Smailagic, Pedro Costa, Alex Gaudio, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Devesh Walawalkar, Susu Xu, Adrian Galdran, Pei Zhang, Aurélio Campilho, Hae Young Noh
    http://arxiv.org/abs/1908.10508v1

    • [cs.LG]On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms
    Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar
    http://arxiv.org/abs/1908.10400v1

    • [cs.LG]Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification
    Zhen Xiang, David J. Miller, George Kesidis
    http://arxiv.org/abs/1908.10498v1

    • [cs.LG]Rényi Differential Privacy of the Sampled Gaussian Mechanism
    Ilya Mironov, Kunal Talwar, Li Zhang
    http://arxiv.org/abs/1908.10530v1

    • [cs.LG]Similarity Kernel and Clustering via Random Projection Forests
    Donghui Yan, Songxiang Gu, Ying Xu, Zhiwei Qin
    http://arxiv.org/abs/1908.10506v1

    • [cs.LG]Stochastic AUC Maximization with Deep Neural Networks
    Mingrui Liu, Zhuoning Yuan, Yiming Ying, Tianbao Yang
    http://arxiv.org/abs/1908.10831v1

    • [cs.LG]The Function Representation of Artificial Neural Network
    Zhongkui Ma
    http://arxiv.org/abs/1908.10493v1

    • [cs.LO]Extending Description Logic EL++ with Linear Constraints on the Probability of Axioms
    Marcelo Finger
    http://arxiv.org/abs/1908.10405v1

    • [cs.MA]STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control
    Yanan Wang, Tong Xu, Xin Niu, Chang Tan, Enhong Chen, Hui Xiong
    http://arxiv.org/abs/1908.10577v1

    • [cs.MM]False News Detection on Social Media
    Juan Cao, Qiang Sheng, Peng Qi, Lei Zhong, Yanyan Wang, Xueyao Zhang
    http://arxiv.org/abs/1908.10818v1

    • [cs.NE]A Search for the Underlying Equation Governing Similar Systems
    Changwei Loh, Daniel Schneegass, Pengwei Tian
    http://arxiv.org/abs/1908.10673v1

    • [cs.RO]A Planning Framework for Persistent, Multi-UAV Coverage with Global Deconfliction
    Tushar Kusnur, Shohin Mukherjee, Dhruv Mauria Saxena, Tomoya Fukami, Takayuki Koyama, Oren Salzman, Maxim Likhachev
    http://arxiv.org/abs/1908.09236v2

    • [cs.RO]An Online Evolving Framework for Modeling the Safe Autonomous Vehicle Control System via Online Recognition of Latent Risks
    Teawon Han, Dimitar Filev, Umit Ozguner
    http://arxiv.org/abs/1908.10823v1

    • [cs.RO]DMP++: Overcoming Some Drawbacks of Dynamic Movement Primitives
    Michele Ginesi, Nicola Sansonetto, Paolo Fiorini
    http://arxiv.org/abs/1908.10608v1

    • [cs.RO]Driving Intention Recognition and Lane Change Prediction on the Highway
    Teawon Han, Junbo Jing, Umit Ozguner
    http://arxiv.org/abs/1908.10820v1

    • [cs.RO]Fast and Robust Initialization for Visual-Inertial SLAM
    Carlos Campos, J. M. M. Montiel, Juan D. Tardós
    http://arxiv.org/abs/1908.10653v1

    • [cs.RO]Research on Autonomous Maneuvering Decision of UCAV based on Approximate Dynamic Programming
    Zhencai Hu, Peng Gao, Fei Wang
    http://arxiv.org/abs/1908.10010v2

    • [cs.RO]Search and Rescue under the Forest Canopy using Multiple UAVs
    Yulun Tian, Katherine Liu, Kyel Ok, Loc Tran, Danette Allen, Nicholas Roy, Jonathan P. How
    http://arxiv.org/abs/1908.10541v1

    • [cs.SE]Modular Verification of Autonomous Space Robotics
    Marie Farrell, Rafael C. Cardoso, Louise A. Dennis, Clare Dixon, Michael Fisher, Georgios Kourtis, Alexei Lisitsa, Matt Luckcuck, Matt Webster
    http://arxiv.org/abs/1908.10738v1

    • [cs.SE]On Distributed Runtime Verification by Aggregate Computing
    Giorgio Audrito, Ferruccio Damiani, Volker Stolz, Mirko Viroli
    http://arxiv.org/abs/1908.10743v1

    • [cs.SE]On building an automated responding system for app reviews: What are the characteristics of reviews and their responses?
    Phong Minh Vu, Tam The Nguyen, Tung Thanh Nguyen
    http://arxiv.org/abs/1908.10816v1

    • [cs.SI]A Longitudinal Analysis of University Rankings
    Friso Selten, Cameron Neylon, Chun-Kai Huang, Paul Groth
    http://arxiv.org/abs/1908.10632v1

    • [cs.SI]Effective and Efficient Network Embedding Initialization via Graph Partitioning
    Wenqing Lin, Feng He, Faqiang Zhang, Xu Cheng, Hongyun Cai
    http://arxiv.org/abs/1908.10697v1

    • [cs.SI]Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries
    Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang
    http://arxiv.org/abs/1908.10583v1

    • [cs.SI]Streaming and Batch Algorithms for Truss Decomposition
    Venkata Rohit Jakkula, George Karypis
    http://arxiv.org/abs/1908.10550v1

    • [econ.EM]Micro Forecasting
    Matúš Maciak, Ostap Okhrin, Michal Pešta
    http://arxiv.org/abs/1908.10636v1

    • [econ.EM]Theory of Weak Identification in Semiparametric Models
    Tetsuya Kaji
    http://arxiv.org/abs/1908.10478v1

    • [eess.IV]A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining
    Yanyan Wei, Zhao Zhang, Haijun Zhang, Richang Hong, Meng Wang
    http://arxiv.org/abs/1908.10521v1

    • [eess.IV]Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays
    Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet, Tolga Tasdizen
    http://arxiv.org/abs/1908.10468v1

    • [eess.IV]CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
    Gang Xu, Zhigang Song, Zhuo Sun, Calvin Ku, Zhe Yang, Cancheng Liu, Shuhao Wang, Jianpeng Ma, Wei Xu
    http://arxiv.org/abs/1908.10555v1

    • [eess.IV]DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks
    Sen Deng, Mingqiang Wei, Jun Wang, Luming Liang, Haoran Xie, Meng Wang
    http://arxiv.org/abs/1908.10267v2

    • [eess.IV]Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation
    Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, MingDe Lin, James S. Duncan
    http://arxiv.org/abs/1908.10489v1

    • [eess.IV]Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
    Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, Jeffrey Chiang, Zhihao Wu, Xiaowei Ding
    http://arxiv.org/abs/1908.10454v1

    • [eess.IV]Method and System for Image Analysis to Detect Cancer
    Waleed A. Yousef, Ahmed A. Abouelkahire, Deyaaeldeen Almahallawi, Omar S. Marzouk, Sameh K. Mohamed, Waleed A. Mustafa, Omar M. Osama, Ali A. Saleh, Naglaa M. Abdelrazek
    http://arxiv.org/abs/1908.10661v1

    • [eess.IV]Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging
    Tong Zhang, Laurence H. Jackson, Alena Uus, James R. Clough, Lisa Story, Mary A. Rutherford, Joseph V. Hajnal, Maria Deprez
    http://arxiv.org/abs/1908.10842v1

    • [eess.IV]Transfer Learning from Partial Annotations for Whole Brain Segmentation
    Chengliang Dai, Yuanhan Mo, Elsa Angelini, Yike Guo, Wenjia Bai
    http://arxiv.org/abs/1908.10851v1

    • [eess.SP]A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
    Qing Qu, Xiao Li, Zhihui Zhu
    http://arxiv.org/abs/1908.10776v1

    • [eess.SP]Physical Layer Key Generation in 5G Wireless Networks
    Long Jiao, Ning Wang, Pu Wang, Amir Alipour-Fanid, Jie Tang, Kai Zeng
    http://arxiv.org/abs/1908.10362v1

    • [math.OC]Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes
    Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang
    http://arxiv.org/abs/1908.10742v1

    • [math.ST]Changepoint in Linear Relations
    Michal Pešta
    http://arxiv.org/abs/1908.10628v1

    • [math.ST]Convergence of U-Processes in Hölder Spaces with Application to Robust Detection of a Changed Segment
    Alfredas Račkauskas, Martin Wendler
    http://arxiv.org/abs/1908.10401v1

    • [physics.comp-ph]Machine-learning techniques for the optimal design of acoustic metamaterials
    Andrea Bacigalupo, Giorgio Gnecco, Marco Lepidi, Luigi Gambarotta
    http://arxiv.org/abs/1908.10645v1

    • [physics.med-ph]SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventions
    Frank Zijlstra, Max A. Viergever, Peter R. Seevinck
    http://arxiv.org/abs/1908.10769v1

    • [physics.soc-ph]Centrality-based identification of important edges in complex networks
    Timo Bröhl, Klaus Lehnertz
    http://arxiv.org/abs/1908.10667v1

    • [q-bio.NC]Intuitive Neuromyoelectric Control of a Dexterous Bionic Arm Using a Modified Kalman Filter
    Jacob A. George, Tyler S. Davis, Mark R. Brinton, Gregory A. Clark
    http://arxiv.org/abs/1908.10522v1

    • [q-fin.TR]Reinforcement Learning: Prediction, Control and Value Function Approximation
    Haoqian Li, Thomas Lau
    http://arxiv.org/abs/1908.10771v1

    • [stat.AP]A calibration method structured on Bayesian Inference of the HCM speed-flow relationship for freeways and multilane highways and a temporal analysis of traffic behavior
    Gabriel Martins de Oliveira, Andre Luiz Cunha
    http://arxiv.org/abs/1908.10852v1

    • [stat.AP]Outreach Strategies for Vaccine Distribution: A Two-Period Robust Approach
    Yuwen Yang, Jayant Rajgopal
    http://arxiv.org/abs/1908.10465v1

    • [stat.AP]Rethinking meta-analysis: assessing case-mix heterogeneity when combining treatment effects across patient populations
    Tat-Thang Vo, Raphael Porcher, Anna Chaimani, Stijn Vansteelandt
    http://arxiv.org/abs/1908.10613v1

    • [stat.ME]Efficient estimation of optimal regimes under a no direct effect assumption
    Lin Liu, Zach Shahn, James M. Robins, Andrea Rotnitzky
    http://arxiv.org/abs/1908.10448v1

    • [stat.ME]On the overestimation of widely applicable Bayesian information criterion
    Toru Imai
    http://arxiv.org/abs/1908.10572v1

    • [stat.ME]Quantifying treatment differences in confirmatory trials with delayed effects
    José L. Jiménez
    http://arxiv.org/abs/1908.10502v1

    • [stat.ME]Unit Level Modeling of Survey Data for Small Area Estimation Under Informative Sampling: A Comprehensive Overview with Extensions
    Paul A. Parker, Ryan Janicki, Scott H. Holan
    http://arxiv.org/abs/1908.10488v1

    • [stat.ML]An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
    Esteban Samaniego, Cosmin Anitescu, Somdatta Goswami, Vien Minh Nguyen-Thanh, Hongwei Guo, Khader Hamdia, Timon Rabczuk, Xiaoying Zhuang
    http://arxiv.org/abs/1908.10407v1

    • [stat.ML]Feature Gradients: Scalable Feature Selection via Discrete Relaxation
    Rishit Sheth, Nicolo Fusi
    http://arxiv.org/abs/1908.10382v1

    • [stat.ML]High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm
    Wenlong Mou, Yi-An Ma, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
    http://arxiv.org/abs/1908.10859v1

    • [stat.ML]Lecture Notes: Selected topics on robust statistical learning theory
    Matthieu Lerasle
    http://arxiv.org/abs/1908.10761v1

    • [stat.ML]Linear Convergence of Adaptive Stochastic Gradient Descent
    Yuege Xie, Xiaoxia Wu, Rachel Ward
    http://arxiv.org/abs/1908.10525v1

    • [stat.ML]Multi-Objective Automatic Machine Learning with AutoxgboostMC
    Florian Pfisterer, Stefan Coors, Janek Thomas, Bernd Bischl
    http://arxiv.org/abs/1908.10796v1