cond-mat.stat-mech - 统计数学

    cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.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.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SE - 软件工程 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 math.LO - 逻辑演算 math.ST - 统计理论 physics.pop-ph - 流行物理学 physics.soc-ph - 物理学与社会 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.stat-mech]Large Deviations of Extreme Eigenvalues of Generalized Sample Covariance Matrices
    • [cs.AI]Bits and Pieces: Understanding Information Decomposition from Part-whole Relationships and Formal Logic
    • [cs.AI]Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining
    • [cs.CE]ParaDRAM: A Cross-Language Toolbox for Parallel High-Performance Delayed-Rejection Adaptive Metropolis Markov Chain Monte Carlo Simulations
    • [cs.CL]A Variational Approach to Unsupervised Sentiment Analysis
    • [cs.CL]Adapting Event Extractors to Medical Data: Bridging the Covariate Shift
    • [cs.CL]Document-level Event-based Extraction Using Generative Template-filling Transformers
    • [cs.CL]EmoGraph: Capturing Emotion Correlations using Graph Networks
    • [cs.CL]Howl: A Deployed, Open-Source Wake Word Detection System
    • [cs.CL]It’s better to say “I can’t answer” than answering incorrectly: Towards Safety critical NLP systems
    • [cs.CL]Keywords lie far from the mean of all words in local vector space
    • [cs.CL]MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark
    • [cs.CL]Neural Machine Translation without Embeddings
    • [cs.CL]Spatial Language Representation with Multi-Level Geocoding
    • [cs.CL]To Paraphrase or Not To Paraphrase: User-Controllable Selective Paraphrase Generation
    • [cs.CL]Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation
    • [cs.CL]VisualSem: a high-quality knowledge graph for vision and language
    • [cs.CV]ATG-PVD: Ticketing Parking Violations on A Drone
    • [cs.CV]Action-Based Representation Learning for Autonomous Driving
    • [cs.CV]Align Deep Features for Oriented Object Detection
    • [cs.CV]An Improved Person Re-identification Method by light-weight convolutional neural network
    • [cs.CV]Automatic sleep stage classification with deep residual networks in a mixed-cohort setting
    • [cs.CV]Automating the assessment of biofouling in images using expert agreement as a gold standard
    • [cs.CV]Behavioural pattern discovery from collections of egocentric photo-streams
    • [cs.CV]CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network
    • [cs.CV]Causal Future Prediction in a Minkowski Space-Time
    • [cs.CV]DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild
    • [cs.CV]Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching
    • [cs.CV]Delving Deeper into Anti-aliasing in ConvNets
    • [cs.CV]Deterministic PointNetLK for Generalized Registration
    • [cs.CV]Domain Adaptation of Learned Features for Visual Localization
    • [cs.CV]DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss
    • [cs.CV]Exploiting Scene-specific Features for Object Goal Navigation
    • [cs.CV]Graph Neural Networks for 3D Multi-Object Tracking
    • [cs.CV]Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics
    • [cs.CV]InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image
    • [cs.CV]Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs
    • [cs.CV]Learning Camera-Aware Noise Models
    • [cs.CV]Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples
    • [cs.CV]Method to Classify Skin Lesions using Dermoscopic images
    • [cs.CV]Robustness and Overfitting Behavior of Implicit Background Models
    • [cs.CV]SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation
    • [cs.CV]Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition
    • [cs.CV]Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification
    • [cs.CV]Single-Image Depth Prediction Makes Feature Matching Easier
    • [cs.CV]TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks
    • [cs.CY]Authorized and Unauthorized Practices of Law: The Role of Autonomous Levels of AI Legal Reasoning
    • [cs.CY]Balancing freedoms, rights and responsibilities during COVID in US: a study of anti- and pro-restriction discourse
    • [cs.CY]Privacy Policies over Time: Curation andAnalysis of a Million-Document Dataset
    • [cs.DB]Spitz: A Verifiable Database System
    • [cs.DC]Efficient Dispersion of Mobile Agents without Global Knowledge
    • [cs.DC]Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads
    • [cs.DC]Towards Designing a Self-Managed Machine Learning Inference Serving System inPublic Cloud
    • [cs.DC]Translating the Grid: How a Translational Approach Shaped the Development of Grid Computing
    • [cs.GT]Algorithmic Transparency with Strategic Users
    • [cs.HC]Learning from Online Regrets: From Deleted Posts to Risk Awareness in Social Network Sites
    • [cs.IR]COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce
    • [cs.IR]Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation
    • [cs.IR]The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation
    • [cs.IT]Achievable Rate Optimization for MIMO Systems with Reconfigurable Intelligent Surfaces
    • [cs.IT]Graph learning under spectral sparsity constraints
    • [cs.IT]Location Information Aided Multiple Intelligent Reflecting Surface Systems
    • [cs.IT]Optimal SNR Analysis for Single-user RIS Systems
    • [cs.IT]Radar Imaging Based on IEEE 802.11ad Waveform
    • [cs.IT]Robust Secure UAV Communications with the Aid of Reconfigurable Intelligent Surfaces
    • [cs.LG]A Composable Specification Language for Reinforcement Learning Tasks
    • [cs.LG]A Survey on Assessing the Generalization Envelope of Deep Neural Networks at Inference Time for Image Classification
    • [cs.LG]A constrained recursion algorithm for batch normalization of tree-sturctured LSTM
    • [cs.LG]A(DP)$^2$SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy
    • [cs.LG]Adversarial Imitation Learning via Random Search
    • [cs.LG]Beyond Individual and Group Fairness
    • [cs.LG]Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation
    • [cs.LG]ConiVAT: Cluster Tendency Assessment and Clustering with Partial Background Knowledge
    • [cs.LG]Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation
    • [cs.LG]Counterfactual-based minority oversampling for imbalanced classification
    • [cs.LG]Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks
    • [cs.LG]Defending Distributed Classifiers Against Data Poisoning Attacks
    • [cs.LG]Defending Regression Learners Against Poisoning Attacks
    • [cs.LG]Differentiable TAN Structure Learning for Bayesian Network Classifiers
    • [cs.LG]Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
    • [cs.LG]Evaluating Machine Learning Models for the Fast Identification of Contingency Cases
    • [cs.LG]Explainable Recommender Systems via Resolving Learning Representations
    • [cs.LG]Federated Learning with Communication Delay in Edge Networks
    • [cs.LG]Imitation Learning with Sinkhorn Distances
    • [cs.LG]Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication
    • [cs.LG]MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation
    • [cs.LG]Near Optimal Adversarial Attack on UCB Bandits
    • [cs.LG]Neural Logic Reasoning
    • [cs.LG]NoPeek: Information leakage reduction to share activations in distributed deep learning
    • [cs.LG]Not My Deepfake: Towards Plausible Deniability for Machine-Generated Media
    • [cs.LG]Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning
    • [cs.LG]Refined Analysis of FPL for Adversarial Markov Decision Processes
    • [cs.LG]RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns
    • [cs.LG]Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs
    • [cs.MM]NANCY: Neural Adaptive Network Coding methodologY for video distribution over wireless networks
    • [cs.NE]Robust and Efficient Swarm Communication Topologies for Hostile Environments
    • [cs.NI]The Coverage Overlapping Problem of Serving Arbitrary Crowds in 3D Drone Cellular Networks
    • [cs.PF]Reinforcement Learning-based Admission Control in Delay-sensitive Service Systems
    • [cs.RO]Combining Control Barrier Functions and Behavior Trees for Multi-Agent Underwater Coverage Missions
    • [cs.RO]Isometric force pillow: using air pressure to quantify involuntary finger flexion in the presence of hypertonia
    • [cs.RO]Line-Circle-Square (LCS): A Multilayered Geometric Filter for Edge-Based Detection
    • [cs.RO]Task Planning with Belief Behavior Trees
    • [cs.SE]Revisiting Process versus Product Metrics: a Large Scale Analysis
    • [cs.SI]In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals
    • [cs.SI]Profile Matching Across Online Social Networks
    • [eess.AS]An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation
    • [eess.AS]CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application
    • [eess.AS]Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset
    • [eess.IV]A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI
    • [eess.IV]Conditional Entropy Coding for Efficient Video Compression
    • [eess.IV]DTDN: Dual-task De-raining Network
    • [eess.IV]Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images — the ACDC@LungHP Challenge 2019
    • [eess.SP]Training of mixed-signal optical convolutional neural network with reduced quantization level
    • [math.LO]A Heuristic Approach to Two Level Boolean Minimization Derived from Karnaugh Mapping
    • [math.ST]Conditional empirical copula processes and generalized dependence measures
    • [math.ST]Homogeneity Test of Several High-Dimensional Covariance Matrices for Stationary Processes under Non-normality
    • [physics.pop-ph]Probability and consequences of living inside a computer simulation
    • [physics.soc-ph]Variance and covariance of distributions on graphs
    • [quant-ph]Quantum LDPC codes with $Ω(\sqrt{n}\log^kn)$ distance, for any $k$
    • [stat.AP]Anomaly Detection on Seasonal Metrics via Robust Time Series Decomposition
    • [stat.AP]Coloring panchromatic nighttime satellite images: Elastic maps vs. kernel smoothing and multivariate regression approach
    • [stat.AP]Estimation of the number of irregular foreigners in Poland using non-linear count regression models
    • [stat.AP]Spatial homogeneity learning for spatially correlated functional data with application to COVID-19 Growth rate curves
    • [stat.ME]Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices
    • [stat.ME]Testing for equality between conditional copulas given discretized conditioning events
    • [stat.ML]Amortized learning of neural causal representations
    • [stat.ML]Clustering small datasets in high-dimension by random projection
    • [stat.ML]Robust Mean Estimation in High Dimensions via $\ell_0$ Minimization
    • [stat.ML]Topological Gradient-based Competitive Learning

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    • [cond-mat.stat-mech]Large Deviations of Extreme Eigenvalues of Generalized Sample Covariance Matrices
    Antoine Maillard
    http://arxiv.org/abs/2008.09496v1

    • [cs.AI]Bits and Pieces: Understanding Information Decomposition from Part-whole Relationships and Formal Logic
    Aaron J. Gutknecht, Michael Wibral, Abdullah Makkeh
    http://arxiv.org/abs/2008.09535v1

    • [cs.AI]Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining
    Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio, Luciano García-Bañuelos, Anna Kalenkova, Sander J. J. Leemans, Jan Mendling, Alistair Moffat, Matthias Weidlich
    http://arxiv.org/abs/2008.09558v1

    • [cs.CE]ParaDRAM: A Cross-Language Toolbox for Parallel High-Performance Delayed-Rejection Adaptive Metropolis Markov Chain Monte Carlo Simulations
    Amir Shahmoradi, Fatemeh Bagheri
    http://arxiv.org/abs/2008.09589v1

    • [cs.CL]A Variational Approach to Unsupervised Sentiment Analysis
    Ziqian Zeng, Wenxuan Zhou, Xin Liu, Zizheng Lin, Yangqin Song, Michael David Kuo, Wan Hang Keith Chiu
    http://arxiv.org/abs/2008.09394v1

    • [cs.CL]Adapting Event Extractors to Medical Data: Bridging the Covariate Shift
    Aakanksha Naik, Jill Lehman, Carolyn Rose
    http://arxiv.org/abs/2008.09266v1

    • [cs.CL]Document-level Event-based Extraction Using Generative Template-filling Transformers
    Xinya Du, Alexander Rush, Claire Cardie
    http://arxiv.org/abs/2008.09249v1

    • [cs.CL]EmoGraph: Capturing Emotion Correlations using Graph Networks
    Peng Xu, Zihan Liu, Genta Indra Winata, Zhaojiang Lin, Pascale Fung
    http://arxiv.org/abs/2008.09378v1

    • [cs.CL]Howl: A Deployed, Open-Source Wake Word Detection System
    Raphael Tang, Jaejun Lee, Afsaneh Razi, Julia Cambre, Ian Bicking, Jofish Kaye, Jimmy Lin
    http://arxiv.org/abs/2008.09606v1

    • [cs.CL]It’s better to say “I can’t answer” than answering incorrectly: Towards Safety critical NLP systems
    Neeraj Varshney, Swaroop Mishra, Chitta Baral
    http://arxiv.org/abs/2008.09371v1

    • [cs.CL]Keywords lie far from the mean of all words in local vector space
    Eirini Papagiannopoulou, Grigorios Tsoumakas, Apostolos N. Papadopoulos
    http://arxiv.org/abs/2008.09513v1

    • [cs.CL]MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark
    Haoran Li, Abhinav Arora, Shuohui Chen, Anchit Gupta, Sonal Gupta, Yashar Mehdad
    http://arxiv.org/abs/2008.09335v1

    • [cs.CL]Neural Machine Translation without Embeddings
    Uri Shaham, Omer Levy
    http://arxiv.org/abs/2008.09396v1

    • [cs.CL]Spatial Language Representation with Multi-Level Geocoding
    Sayali Kulkarni, Shailee Jain, Mohammad Javad Hosseini, Jason Baldridge, Eugene Ie, Li Zhang
    http://arxiv.org/abs/2008.09236v1

    • [cs.CL]To Paraphrase or Not To Paraphrase: User-Controllable Selective Paraphrase Generation
    Mohan Zhang, Luchen Tan, Zhengkai Tu, Zihang Fu, Kun Xiong, Ming Li, Jimmy Lin
    http://arxiv.org/abs/2008.09290v1

    • [cs.CL]Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation
    Zishan Ahmad, Mukuntha N S, Asif Ekbal, Pushpak Bhattacharyya
    http://arxiv.org/abs/2008.09333v1

    • [cs.CL]VisualSem: a high-quality knowledge graph for vision and language
    Houda Alberts, Teresa Huang, Yash Deshpande, Yibo Liu, Kyunghyun Cho, Clara Vania, Iacer Calixto
    http://arxiv.org/abs/2008.09150v1

    • [cs.CV]ATG-PVD: Ticketing Parking Violations on A Drone
    Hengli Wang, Yuxuan Liu, Huaiyang Huang, Yuheng Pan, Wenbin Yu, Jialin Jiang, Dianbin Lyu, Mohammud J. Bocus, Ming Liu, Ioannis Pitas, Rui Fan
    http://arxiv.org/abs/2008.09305v1

    • [cs.CV]Action-Based Representation Learning for Autonomous Driving
    Yi Xiao, Felipe Codevilla, Christopher Pal, Antonio M. Lopez
    http://arxiv.org/abs/2008.09417v1

    • [cs.CV]Align Deep Features for Oriented Object Detection
    Jiaming Han, Jian Ding, Jie Li, Gui-Song Xia
    http://arxiv.org/abs/2008.09397v1

    • [cs.CV]An Improved Person Re-identification Method by light-weight convolutional neural network
    Sajad Amouei Sheshkal, Kazim Fouladi-Ghaleh, Hossein Aghababa
    http://arxiv.org/abs/2008.09448v1

    • [cs.CV]Automatic sleep stage classification with deep residual networks in a mixed-cohort setting
    Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B D Sorensen
    http://arxiv.org/abs/2008.09416v1

    • [cs.CV]Automating the assessment of biofouling in images using expert agreement as a gold standard
    Nathaniel J. Bloomfield, Susan Wei, Bartholomew Woodham, Peter Wilkinson, Andrew Robinson
    http://arxiv.org/abs/2008.09289v1

    • [cs.CV]Behavioural pattern discovery from collections of egocentric photo-streams
    Martin Menchon, Estefania Talavera, Jose M Massa, Petia Radeva
    http://arxiv.org/abs/2008.09561v1

    • [cs.CV]CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network
    Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Zehong Cao, Weiping Ding
    http://arxiv.org/abs/2008.09388v1

    • [cs.CV]Causal Future Prediction in a Minkowski Space-Time
    Athanasios Vlontzos, Henrique Bergallo Rocha, Daniel Rueckert, Bernhard Kainz
    http://arxiv.org/abs/2008.09154v1

    • [cs.CV]DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild
    Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Vincent Leroy, Grégory Rogez
    http://arxiv.org/abs/2008.09457v1

    • [cs.CV]Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching
    Zexi Chen, Xuecheng Xu, Yue Wang, Rong Xiong
    http://arxiv.org/abs/2008.09474v1

    • [cs.CV]Delving Deeper into Anti-aliasing in ConvNets
    Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee
    http://arxiv.org/abs/2008.09604v1

    • [cs.CV]Deterministic PointNetLK for Generalized Registration
    Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey
    http://arxiv.org/abs/2008.09527v1

    • [cs.CV]Domain Adaptation of Learned Features for Visual Localization
    Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Chris Sweeney
    http://arxiv.org/abs/2008.09310v1

    • [cs.CV]DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss
    Georgios Albanis, Nikolaos Zioulis, Anastasios Dimou, Dimitrios Zarpalas, Petros Daras
    http://arxiv.org/abs/2008.08823v2

    • [cs.CV]Exploiting Scene-specific Features for Object Goal Navigation
    Tommaso Campari, Paolo Eccher, Luciano Serafini, Lamberto Ballan
    http://arxiv.org/abs/2008.09403v1

    • [cs.CV]Graph Neural Networks for 3D Multi-Object Tracking
    Xinshuo Weng, Yongxin Wang, Yunze Man, Kris Kitani
    http://arxiv.org/abs/2008.09506v1

    • [cs.CV]Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics
    Dou Xu, Chang Cai, Chaowei Fang, Bin Kong, Jihua Zhu, Zhongyu Li
    http://arxiv.org/abs/2008.09304v1

    • [cs.CV]InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image
    Gyeongsik Moon, Shoou-i Yu, He Wen, Takaaki Shiratori, Kyoung Mu Lee
    http://arxiv.org/abs/2008.09309v1

    • [cs.CV]Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs
    Dingheng Wang, Bijiao Wu, Guangshe Zhao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li
    http://arxiv.org/abs/2008.09342v1

    • [cs.CV]Learning Camera-Aware Noise Models
    Ke-Chi Chang, Ren Wang, Hung-Jin Lin, Yu-Lun Liu, Chia-Ping Chen, Yu-Lin Chang, Hwann-Tzong Chen
    http://arxiv.org/abs/2008.09370v1

    • [cs.CV]Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples
    Jinfeng Li, Weifeng Liu, Yicong Zhou, Jun Yu, Dapeng Tao
    http://arxiv.org/abs/2008.09359v1

    • [cs.CV]Method to Classify Skin Lesions using Dermoscopic images
    Hemanth Nadipineni
    http://arxiv.org/abs/2008.09418v1

    • [cs.CV]Robustness and Overfitting Behavior of Implicit Background Models
    Shirley Liu, Charles Lehman, Ghassan AlRegib
    http://arxiv.org/abs/2008.09306v1

    • [cs.CV]SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation
    René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
    http://arxiv.org/abs/2008.09346v1

    • [cs.CV]Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition
    Zitong Yu, Benjia Zhou, Jun Wan, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z. Li, Guoying Zhao
    http://arxiv.org/abs/2008.09412v1

    • [cs.CV]Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification
    Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu
    http://arxiv.org/abs/2008.09435v1

    • [cs.CV]Single-Image Depth Prediction Makes Feature Matching Easier
    Carl Toft, Daniyar Turmukhambetov, Torsten Sattler, Fredrik Kahl, Gabriel Brostow
    http://arxiv.org/abs/2008.09497v1

    • [cs.CV]TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks
    Md Abul Bashar, Richi Nayak
    http://arxiv.org/abs/2008.09567v1

    • [cs.CY]Authorized and Unauthorized Practices of Law: The Role of Autonomous Levels of AI Legal Reasoning
    Lance Eliot
    http://arxiv.org/abs/2008.09507v1

    • [cs.CY]Balancing freedoms, rights and responsibilities during COVID in US: a study of anti- and pro-restriction discourse
    Gillian Bolsover
    http://arxiv.org/abs/2008.09440v1

    • [cs.CY]Privacy Policies over Time: Curation andAnalysis of a Million-Document Dataset
    Ryan Amos, Gunes Acar, Elena Lucherini, Mihir Kshirsagar, Arvind Narayanan, Jonathan Mayer
    http://arxiv.org/abs/2008.09159v1

    • [cs.DB]Spitz: A Verifiable Database System
    Meihui Zhang, Zhongle Xie, Cong Yue, Ziyue Zhong
    http://arxiv.org/abs/2008.09268v1

    • [cs.DC]Efficient Dispersion of Mobile Agents without Global Knowledge
    Takahiro Shintaku, Yuichi Sudo, Hirotsugu Kakugawa, Toshimitsu Masuzawa
    http://arxiv.org/abs/2008.09379v1

    • [cs.DC]Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads
    Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, Amar Phanishayee, Matei Zaharia
    http://arxiv.org/abs/2008.09213v1

    • [cs.DC]Towards Designing a Self-Managed Machine Learning Inference Serving System inPublic Cloud
    Jashwant Raj Gunasekaran, Prashanth Thinakaran, Cyan Subhra Mishra, Mahmut Taylan Kandemir, Chita R. Das
    http://arxiv.org/abs/2008.09491v1

    • [cs.DC]Translating the Grid: How a Translational Approach Shaped the Development of Grid Computing
    Ian Foster, Carl Kesselman
    http://arxiv.org/abs/2008.09591v1

    • [cs.GT]Algorithmic Transparency with Strategic Users
    Qiaochu Wang, Yan Huang, Stefanus Jasin, Param Vir Singh
    http://arxiv.org/abs/2008.09283v1

    • [cs.HC]Learning from Online Regrets: From Deleted Posts to Risk Awareness in Social Network Sites
    Nicolas E. Diaz Ferreyra, Rene Meis, Maritta Heisel
    http://arxiv.org/abs/2008.09391v1

    • [cs.IR]COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce
    Zuohui Fu, Yikun Xian, Yaxin Zhu, Yongfeng Zhang, Gerard de Melo
    http://arxiv.org/abs/2008.09237v1

    • [cs.IR]Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation
    Mawulolo K. Ameko, Miranda L. Beltzer, Lihua Cai, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
    http://arxiv.org/abs/2008.09472v1

    • [cs.IR]The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation
    Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
    http://arxiv.org/abs/2008.09273v1

    • [cs.IT]Achievable Rate Optimization for MIMO Systems with Reconfigurable Intelligent Surfaces
    Nemanja Stefan Perović, Le-Nam Tran, Marco Di Renzo, Mark F. Flanagan
    http://arxiv.org/abs/2008.09563v1

    • [cs.IT]Graph learning under spectral sparsity constraints
    B. Subbareddy, Aditya Siripuram, Jingxin Zhang
    http://arxiv.org/abs/2008.09522v1

    • [cs.IT]Location Information Aided Multiple Intelligent Reflecting Surface Systems
    Xiaoling Hu, Caijun Zhong, Yu Zhang, Xiaoming Chen, Zhaoyang Zhang
    http://arxiv.org/abs/2008.09248v1

    • [cs.IT]Optimal SNR Analysis for Single-user RIS Systems
    Ikram Singh, Peter J. Smith, Pawel A. Dmochowski
    http://arxiv.org/abs/2008.09376v1

    • [cs.IT]Radar Imaging Based on IEEE 802.11ad Waveform
    Geonho Han, Junil Choi
    http://arxiv.org/abs/2008.09311v1

    • [cs.IT]Robust Secure UAV Communications with the Aid of Reconfigurable Intelligent Surfaces
    Li Sixian, Duo Bin, Marco Di Renzo, Tao Meixia, Yuan Xiaojun
    http://arxiv.org/abs/2008.09404v1

    • [cs.LG]A Composable Specification Language for Reinforcement Learning Tasks
    Kishor Jothimurugan, Rajeev Alur, Osbert Bastani
    http://arxiv.org/abs/2008.09293v1

    • [cs.LG]A Survey on Assessing the Generalization Envelope of Deep Neural Networks at Inference Time for Image Classification
    Julia Lust, Alexandru Paul Condurache
    http://arxiv.org/abs/2008.09381v1

    • [cs.LG]A constrained recursion algorithm for batch normalization of tree-sturctured LSTM
    Ruo Ando, Yoshiyasu Takefuji
    http://arxiv.org/abs/2008.09409v1

    • [cs.LG]A(DP)$^2$SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy
    Jie Xu, Wei Zhang, Fei Wang
    http://arxiv.org/abs/2008.09246v1

    • [cs.LG]Adversarial Imitation Learning via Random Search
    MyungJae Shin, Joongheon Kim
    http://arxiv.org/abs/2008.09450v1

    • [cs.LG]Beyond Individual and Group Fairness
    Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri
    http://arxiv.org/abs/2008.09490v1

    • [cs.LG]Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation
    Tim De Ryck, Maarten De Vos, Alexander Bertrand
    http://arxiv.org/abs/2008.09524v1

    • [cs.LG]ConiVAT: Cluster Tendency Assessment and Clustering with Partial Background Knowledge
    Punit Rathore, James C. Bezdek, Paolo Santi, Carlo Ratti
    http://arxiv.org/abs/2008.09570v1

    • [cs.LG]Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation
    Xu He, Bo An, Yanghua Li, Haikai Chen, Qingyu Guo, Xin Li, Zhirong Wang
    http://arxiv.org/abs/2008.09368v1

    • [cs.LG]Counterfactual-based minority oversampling for imbalanced classification
    Hao Luo, Li Liu
    http://arxiv.org/abs/2008.09488v1

    • [cs.LG]Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks
    Binyamin Manela, Armin Biess
    http://arxiv.org/abs/2008.09377v1

    • [cs.LG]Defending Distributed Classifiers Against Data Poisoning Attacks
    Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie
    http://arxiv.org/abs/2008.09284v1

    • [cs.LG]Defending Regression Learners Against Poisoning Attacks
    Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Justin Kopacz
    http://arxiv.org/abs/2008.09279v1

    • [cs.LG]Differentiable TAN Structure Learning for Bayesian Network Classifiers
    Wolfgang Roth, Franz Pernkopf
    http://arxiv.org/abs/2008.09566v1

    • [cs.LG]Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
    Qi Wang, Herke van Hoof
    http://arxiv.org/abs/2008.09469v1

    • [cs.LG]Evaluating Machine Learning Models for the Fast Identification of Contingency Cases
    Florian Schaefer, Jan-Hendrik Menke, Martin Braun
    http://arxiv.org/abs/2008.09384v1

    • [cs.LG]Explainable Recommender Systems via Resolving Learning Representations
    Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
    http://arxiv.org/abs/2008.09316v1

    • [cs.LG]Federated Learning with Communication Delay in Edge Networks
    Frank Po-Chen Lin, Christopher G. Brinton, Nicolò Michelusi
    http://arxiv.org/abs/2008.09323v1

    • [cs.LG]Imitation Learning with Sinkhorn Distances
    Georgios Papagiannis, Yunpeng Li
    http://arxiv.org/abs/2008.09167v1

    • [cs.LG]Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication
    Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang
    http://arxiv.org/abs/2008.09369v1

    • [cs.LG]MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation
    Sung Min Cho, Eunhyeok Park, Sungjoo Yoo
    http://arxiv.org/abs/2008.08273v2

    • [cs.LG]Near Optimal Adversarial Attack on UCB Bandits
    Shiliang Zuo
    http://arxiv.org/abs/2008.09312v1

    • [cs.LG]Neural Logic Reasoning
    Shaoyun Shi, Hanxiong Chen, Weizhi Ma, Jiaxin Mao, Min Zhang, Yongfeng Zhang
    http://arxiv.org/abs/2008.09514v1

    • [cs.LG]NoPeek: Information leakage reduction to share activations in distributed deep learning
    Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar
    http://arxiv.org/abs/2008.09161v1

    • [cs.LG]Not My Deepfake: Towards Plausible Deniability for Machine-Generated Media
    Baiwu Zhang, Jin Peng Zhou, Ilia Shumailov, Nicolas Papernot
    http://arxiv.org/abs/2008.09194v1

    • [cs.LG]Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning
    Yiming Li, Jiawang Bai, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia
    http://arxiv.org/abs/2008.09413v1

    • [cs.LG]Refined Analysis of FPL for Adversarial Markov Decision Processes
    Yuanhao Wang, Kefan Dong
    http://arxiv.org/abs/2008.09251v1

    • [cs.LG]RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns
    Arnab Kumar Mondal, Prathosh A. P
    http://arxiv.org/abs/2008.09466v1

    • [cs.LG]Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs
    Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
    http://arxiv.org/abs/2008.09340v1

    • [cs.MM]NANCY: Neural Adaptive Network Coding methodologY for video distribution over wireless networks
    Paresh Saxena, Mandan Naresh, Manik Gupta, Anirudh Achanta, Sastri Kota, Smrati Gupta
    http://arxiv.org/abs/2008.09559v1

    • [cs.NE]Robust and Efficient Swarm Communication Topologies for Hostile Environments
    Vipul Mann, Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian
    http://arxiv.org/abs/2008.09575v1

    • [cs.NI]The Coverage Overlapping Problem of Serving Arbitrary Crowds in 3D Drone Cellular Networks
    Chuan-Chi Lai, Li-Chun Wang, Zhu Han
    http://arxiv.org/abs/2008.09519v1

    • [cs.PF]Reinforcement Learning-based Admission Control in Delay-sensitive Service Systems
    Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
    http://arxiv.org/abs/2008.09590v1

    • [cs.RO]Combining Control Barrier Functions and Behavior Trees for Multi-Agent Underwater Coverage Missions
    Özer Özkahraman, Petter Ögren
    http://arxiv.org/abs/2008.09427v1

    • [cs.RO]Isometric force pillow: using air pressure to quantify involuntary finger flexion in the presence of hypertonia
    Caitlyn E. Seim, Chuzhang Han, Alexis J. Lowber, Claire Brooks, Marie Payne, Maarten G. Lansberg, Kara E. Flavin, Julius P. A. Dewald, Allison M. Okamura
    http://arxiv.org/abs/2008.09598v1

    • [cs.RO]Line-Circle-Square (LCS): A Multilayered Geometric Filter for Edge-Based Detection
    Seyed Amir Tafrishi, Xiaotian Dai, Vahid Esmaeilzadeh Kandjani
    http://arxiv.org/abs/2008.09315v1

    • [cs.RO]Task Planning with Belief Behavior Trees
    Evgenii Safronov, Michele Colledanchise, Lorenzo Natale
    http://arxiv.org/abs/2008.09393v1

    • [cs.SE]Revisiting Process versus Product Metrics: a Large Scale Analysis
    Suvodeep Majumder, Pranav Mody, Tim Menzies
    http://arxiv.org/abs/2008.09569v1

    • [cs.SI]In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals
    T. Baumgartl, M. Petzold, M. Wunderlich, M. Höhn, D. Archambault, M. Lieser, A. Dalpke, S. Scheithauer, M. Marschollek, V. M. Eichel, N. T. Mutters, HiGHmed Consortium, T. von Landesberger
    http://arxiv.org/abs/2008.09552v1

    • [cs.SI]Profile Matching Across Online Social Networks
    Anisa Halimi, Erman Ayday
    http://arxiv.org/abs/2008.09608v1

    • [eess.AS]An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation
    Daniel Michelsanti, Zheng-Hua Tan, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu, Jesper Jensen
    http://arxiv.org/abs/2008.09586v1

    • [eess.AS]CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application
    Alexander Chao-Fu Kang, Kuo-Hsuan Hung, Yu-Wen Chen, You-Jin Li, Ya-Hsin Lai, Kai-Chun Liu, Sze-Wei Fu, Syu-Siang Wang, Yu Tsao
    http://arxiv.org/abs/2008.09264v1

    • [eess.AS]Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset
    Huili Chen, Yue Zhang, Felix Weninger, Rosalind Picard, Cynthia Breazeal, Hae Won Park
    http://arxiv.org/abs/2008.09207v1

    • [eess.IV]A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI
    Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King
    http://arxiv.org/abs/2008.09585v1

    • [eess.IV]Conditional Entropy Coding for Efficient Video Compression
    Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun
    http://arxiv.org/abs/2008.09180v1

    • [eess.IV]DTDN: Dual-task De-raining Network
    Zheng Wang, Jianwu Li, Ge Song
    http://arxiv.org/abs/2008.09326v1

    • [eess.IV]Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images — the ACDC@LungHP Challenge 2019
    Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Yang Li, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-cheng Chen, Ching-wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Xiangjun Feng, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens
    http://arxiv.org/abs/2008.09352v1

    • [eess.SP]Training of mixed-signal optical convolutional neural network with reduced quantization level
    Joseph Ulseth, Zheyuan Zhu, Guifang Li, Shuo Pang
    http://arxiv.org/abs/2008.09206v1

    • [math.LO]A Heuristic Approach to Two Level Boolean Minimization Derived from Karnaugh Mapping
    Ethan L. Childerhose, Jingzhou Liu
    http://arxiv.org/abs/2008.09307v1

    • [math.ST]Conditional empirical copula processes and generalized dependence measures
    Alexis Derumigny, Jean-David Fermanian
    http://arxiv.org/abs/2008.09480v1

    • [math.ST]Homogeneity Test of Several High-Dimensional Covariance Matrices for Stationary Processes under Non-normality
    Abdullah Qayed, Dong Han
    http://arxiv.org/abs/2008.09259v1

    • [physics.pop-ph]Probability and consequences of living inside a computer simulation
    Alexandre Bibeau-Delisle, Gilles Brassard
    http://arxiv.org/abs/2008.09275v1

    • [physics.soc-ph]Variance and covariance of distributions on graphs
    Karel Devriendt, Samuel Martin-Gutierrez, Renaud Lambiotte
    http://arxiv.org/abs/2008.09155v1

    • [quant-ph]Quantum LDPC codes with $Ω(\sqrt{n}\log^kn)$ distance, for any $k$
    Tali Kaufman, Ran J. Tessler
    http://arxiv.org/abs/2008.09495v1

    • [stat.AP]Anomaly Detection on Seasonal Metrics via Robust Time Series Decomposition
    Tianwei Li, Yitong Geng, Huai Jiang
    http://arxiv.org/abs/2008.09245v1

    • [stat.AP]Coloring panchromatic nighttime satellite images: Elastic maps vs. kernel smoothing and multivariate regression approach
    N. Rybnikova, B. A. Portnov, E. M. Mirkes, A. Zinovyev, A. Brook, A. N. Gorban
    http://arxiv.org/abs/2008.09303v1

    • [stat.AP]Estimation of the number of irregular foreigners in Poland using non-linear count regression models
    Maciej Beręsewicz, Katarzyna Pawlukiewicz
    http://arxiv.org/abs/2008.09407v1

    • [stat.AP]Spatial homogeneity learning for spatially correlated functional data with application to COVID-19 Growth rate curves
    Tianyu Pan, Weining Shen, Guanyu Hu
    http://arxiv.org/abs/2008.09227v1

    • [stat.ME]Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices
    Anton A. Alyakin, Joshua Agterberg, Hayden S. Helm, Carey E. Priebe
    http://arxiv.org/abs/2008.09434v1

    • [stat.ME]Testing for equality between conditional copulas given discretized conditioning events
    Alexis Derumigny, Jean-David Fermanian, Aleksey Min
    http://arxiv.org/abs/2008.09498v1

    • [stat.ML]Amortized learning of neural causal representations
    Nan Rosemary Ke, Jane. X. Wang, Jovana Mitrovic, Martin Szummer, Danilo J. Rezende
    http://arxiv.org/abs/2008.09301v1

    • [stat.ML]Clustering small datasets in high-dimension by random projection
    Alden Bradford, Tarun Yellamraju, Mireille Boutin
    http://arxiv.org/abs/2008.09579v1

    • [stat.ML]Robust Mean Estimation in High Dimensions via $\ell_0$ Minimization
    Jing Liu, Aditya Deshmukh, Venugopal V. Veeravalli
    http://arxiv.org/abs/2008.09239v1

    • [stat.ML]Topological Gradient-based Competitive Learning
    Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Giansalvo Cirrincione
    http://arxiv.org/abs/2008.09477v1