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