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