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.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NI - 网络和互联网体系结构 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.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]A General Framework for Stable Roommates Problems using Answer Set Programming
• [cs.AI]A Multiperiod Workforce Scheduling and Routing Problem with Dependent Tasks
• [cs.AI]Conflict Generalisation in ASP: Learning Correct and Effective Non-Ground Constraints
• [cs.AI]Managing caching strategies for stream reasoning with reinforcement learning
• [cs.AI]Modelling Multi-Agent Epistemic Planning in ASP
• [cs.AI]Orthologics for Cones
• [cs.AI]Towards Sample Efficient Agents through Algorithmic Alignment
• [cs.CL]A Context-based Disambiguation Model for Sentiment Concepts Using a Bag-of-concepts Approach
• [cs.CL]Data Weighted Training Strategies for Grammatical Error Correction
• [cs.CL]Evaluating computational models of infant phonetic learning across languages
• [cs.CL]IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detection
• [cs.CL]Learning a natural-language to LTL executable semantic parser for grounded robotics
• [cs.CL]Perception Score, A Learned Metric for Open-ended Text Generation Evaluation
• [cs.CL]Privacy Guarantees for De-identifying Text Transformations
• [cs.CL]Quran Intelligent Ontology Construction Approach Using Association Rules Mining
• [cs.CL]SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media
• [cs.CL]Which Kind Is Better in Open-domain Multi-turn Dialog,Hierarchical or Non-hierarchical Models? An Empirical Study
• [cs.CL]aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning
• [cs.CR]A Theory of Hypergames on Graphs for Synthesizing Dynamic Cyber Defense with Deception
• [cs.CR]Deep Active Learning with Crowdsourcing Data for Privacy Policy Classification
• [cs.CR]Optimizing Information Loss Towards Robust Neural Networks
• [cs.CR]Why are Developers Struggling to Put GDPR into Practice when Developing Privacy-Preserving Software Systems?
• [cs.CV]A Deeper Look at Salient Object Detection: Bi-stream Network with a Small Training Dataset
• [cs.CV]A Multi-Task Learning Approach for Human Action Detection and Ergonomics Risk Assessment
• [cs.CV]A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception
• [cs.CV]A Study on Visual Perception of Light Field Content
• [cs.CV]A Surgery of the Neural Architecture Evaluators
• [cs.CV]An Indexing Scheme and Descriptor for 3D Object Retrieval Based on Local Shape Querying
• [cs.CV]Associative Partial Domain Adaptation
• [cs.CV]Cascade Graph Neural Networks for RGB-D Salient Object Detection
• [cs.CV]Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer
• [cs.CV]Deep Ordinal Regression Forests
• [cs.CV]Deep Robust Clustering by Contrastive Learning
• [cs.CV]Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection
• [cs.CV]Few Shot Learning Framework to Reduce Inter-observer Variability in Medical Images
• [cs.CV]Global Context Aware Convolutions for 3D Point Cloud Understanding
• [cs.CV]HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures
• [cs.CV]Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems
• [cs.CV]Leveraging Localization for Multi-camera Association
• [cs.CV]Multi-Level Temporal Pyramid Network for Action Detection
• [cs.CV]Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis
• [cs.CV]Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning
• [cs.CV]Polysemy Deciphering Network for Robust Human-Object Interaction Detection
• [cs.CV]Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition
• [cs.CV]SimPatch: A Nearest Neighbor Similarity Match between Image Patches
• [cs.CV]Single-stage intake gesture detection using CTC loss and extended prefix beam search
• [cs.CV]Textual Description for Mathematical Equations
• [cs.CY]A no-phone/no-app contact tracing hardware token
• [cs.CY]Energy Communities: From European Law to Numerical Modeling
• [cs.DB]Tera-SLASH: A Distributed Energy-Efficient MPI based LSH System for Tera-Scale Similarity Search
• [cs.DC]Boosting Parallel Influence-Maximization Kernels for Undirected Networks with Fusing and Vectorization
• [cs.DC]Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning
• [cs.DL]Brain Drain and Brain Gain in Russia: Analyzing International Migration of Researchers by Discipline using Scopus Bibliometric Data 1996-2020
• [cs.DS]Low-Congestion Shortcuts for Graphs Excluding Dense Minors
• [cs.HC]Middle-Aged Video Consumers’ Beliefs About Algorithmic Recommendations on YouTube
• [cs.IR]MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
• [cs.IT]A Channel Model of Transceivers for Multiterminal Secret Key Agreement
• [cs.IT]Joint Uplink-and-Downlink Optimization of 3D UAV Swarm Deployment for Wireless-Powered NB-IoT Networks
• [cs.IT]On the Distribution of the Sum of Málaga-$\mathcal{M}$ Random Variables and Applications
• [cs.IT]Performance of Underwater Wireless Optical Communications in Presents of Cascaded Mixture Exponential-Generalized Gamma Turbulence
• [cs.LG]A Technique for Determining Relevance Scores of Process Activities using Graph-based Neural Networks
• [cs.LG]A boosted outlier detection method based on the spectrum of the Laplacian matrix of a graph
• [cs.LG]Assisted Perception: Optimizing Observations to Communicate State
• [cs.LG]Bootstrapping Neural Processes
• [cs.LG]Convolutional Complex Knowledge Graph Embeddings
• [cs.LG]Fatigue Assessment using ECG and Actigraphy Sensors
• [cs.LG]From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional Connectivity
• [cs.LG]Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations
• [cs.LG]Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification
• [cs.LG]Iterative Compression of End-to-End ASR Model using AutoML
• [cs.LG]Neural Complexity Measures
• [cs.LG]SafePILCO: a software tool for safe and data-efficient policy synthesis
• [cs.LG]Spacecraft Collision Avoidance Challenge: design and results of a machine learning competition
• [cs.LG]Stronger and Faster Wasserstein Adversarial Attacks
• [cs.LG]Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval
• [cs.NI]A Game-Theoretic Drone-as-a-Service Composition for Delivery
• [cs.NI]IEEE 802.11be: Wi-Fi 7 Strikes Back
• [cs.RO]Motion Planning and Control for On-Orbit Assembly using LQR-RRT* and Nonlinear MPC
• [cs.RO]Parts-Based Articulated Object Localization in Clutter Using Belief Propagation
• [cs.SE]An Empirical Study on Developing Secure Mobile Health Apps: The Developers Perspective
• [cs.SI]COVID, BLM, and the polarization of US politicians on Twitter
• [cs.SI]Can Smartphone Co-locations Detect Friendship? ItDepends How You Model It
• [cs.SI]Investigating Coordinated ‘Social’ Targeting of High-Profile Twitter Accounts
• [cs.SI]NewsTweet: A Dataset of Social Media Embedding in Online Journalism
• [eess.AS]A Machine of Few Words — Interactive Speaker Recognition with Reinforcement Learning
• [eess.AS]Applying Speech Tempo-Derived Features, BoAW and Fisher Vectors to Detect Elderly Emotion and Speech in Surgical Masks
• [eess.AS]Incremental Text to Speech for Neural Sequence-to-Sequence Models using Reinforcement Learning
• [eess.AS]Investigation of Speaker-adaptation methods in Transformer based ASR
• [eess.AS]Peking Opera Synthesis via Duration Informed Attention Network
• [eess.AS]Pretraining Techniques for Sequence-to-Sequence Voice Conversion
• [eess.IV]Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation
• [eess.IV]In-Depth DCT Coefficient Distribution Analysis for First Quantization Estimation
• [eess.IV]NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal
• [eess.IV]The Ensemble Method for Thorax Diseases Classification
• [eess.SP]6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities
• [math.OC]Iterative Pre-Conditioning for Expediting the Gradient-Descent Method: The Distributed Linear Least-Squares Problem
• [math.OC]Polynomial-time algorithms for Multimarginal Optimal Transport problems with structure
• [math.ST]An information geometry approach for robustness analysis in uncertainty quantification of computer codes
• [math.ST]Generating Sparse Stochastic Processes Using Matched Splines
• [math.ST]On the invertibility in periodic ARFIMA models
• [math.ST]The Tensor Quadratic Forms
• [math.ST]Unifying Compactly Supported and Matern Covariance Functions in Spatial Statistics
• [physics.soc-ph]A general solution to the preferential selection model
• [q-bio.QM]Generating a Heterosexual Bipartite Network Embedded in Social Network
• [quant-ph]Quantum State Tomography with Conditional Generative Adversarial Networks
• [stat.AP]From the power law to extreme value mixture distributions
• [stat.AP]On the Interplay of Regional Mobility, Social Connectedness, and the Spread of COVID-19 in Germany
• [stat.CO]BAT.jl — A Julia-based tool for Bayesian inference
• [stat.CO]MCMC Algorithms for Posteriors on Matrix Spaces
• [stat.ME]A Note on Using Discretized Simulated Data to Estimate Implicit Likelihoods in Bayesian Analyses
• [stat.ME]Bayesian causal inference for count potential outcomes
• [stat.ME]Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisited
• [stat.ME]Kernel Ordinary Differential Equations
• [stat.ME]Manifold-adaptive dimension estimation revisited
• [stat.ME]Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
• [stat.ML]A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research
• [stat.ML]Benign Overfitting and Noisy Features
• [stat.ML]Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
• [stat.ML]Individual Treatment Effect Estimation in a Low Compliance Setting
• [stat.ML]Learning Insulin-Glucose Dynamics in the Wild
• [stat.ML]Perfect Reconstruction of Sparse Signals via Greedy Monte-Carlo Search
• [stat.ML]Scalable Low-Rank Autoregressive Tensor Learning for Spatiotemporal Traffic Data Imputation
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• [cs.AI]A General Framework for Stable Roommates Problems using Answer Set Programming
Esra Erdem, Muge Fidan, David Manlove, Patrick Prosser
http://arxiv.org/abs/2008.03050v1
• [cs.AI]A Multiperiod Workforce Scheduling and Routing Problem with Dependent Tasks
Dilson Lucas Pereira, Júlio César Alves, Mayron César de Oliveira Moreira
http://arxiv.org/abs/2008.02849v1
• [cs.AI]Conflict Generalisation in ASP: Learning Correct and Effective Non-Ground Constraints
Richard Taupe, Antonius Weinzierl, Gerhard Friedrich
http://arxiv.org/abs/2008.03100v1
• [cs.AI]Managing caching strategies for stream reasoning with reinforcement learning
Carmine Dodaro, Thomas Eiter, Paul Ogris, Konstantin Schekotihin
http://arxiv.org/abs/2008.03212v1
• [cs.AI]Modelling Multi-Agent Epistemic Planning in ASP
Alessandro Burigana, Francesco Fabiano, Agostino Dovier, Enrico Pontelli
http://arxiv.org/abs/2008.03007v1
• [cs.AI]Orthologics for Cones
Mena Leemhuis, Özgür L. Özçep, Diedrich Wolter
http://arxiv.org/abs/2008.03172v1
• [cs.AI]Towards Sample Efficient Agents through Algorithmic Alignment
Mingxuan Li
http://arxiv.org/abs/2008.03229v1
• [cs.CL]A Context-based Disambiguation Model for Sentiment Concepts Using a Bag-of-concepts Approach
Zeinab Rajabi, MohammadReza Valavi, Maryam Hourali
http://arxiv.org/abs/2008.03020v1
• [cs.CL]Data Weighted Training Strategies for Grammatical Error Correction
Jared Lichtarge, Chris Alberti, Shankar Kumar
http://arxiv.org/abs/2008.02976v1
• [cs.CL]Evaluating computational models of infant phonetic learning across languages
Yevgen Matusevych, Thomas Schatz, Herman Kamper, Naomi H. Feldman, Sharon Goldwater
http://arxiv.org/abs/2008.02888v1
• [cs.CL]IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detection
Jens Kaiser, Dominik Schlechtweg, Sean Papay, Sabine Schulte im Walde
http://arxiv.org/abs/2008.03164v1
• [cs.CL]Learning a natural-language to LTL executable semantic parser for grounded robotics
Christopher Wang, Candace Ross, Boris Katz, Andrei Barbu
http://arxiv.org/abs/2008.03277v1
• [cs.CL]Perception Score, A Learned Metric for Open-ended Text Generation Evaluation
Jing Gu, Qingyang Wu, Zhou Yu
http://arxiv.org/abs/2008.03082v1
• [cs.CL]Privacy Guarantees for De-identifying Text Transformations
David Ifeoluwa Adelani, Ali Davody, Thomas Kleinbauer, Dietrich Klakow
http://arxiv.org/abs/2008.03101v1
• [cs.CL]Quran Intelligent Ontology Construction Approach Using Association Rules Mining
Fouzi Harrag, Abdullah Al-Nasser, Abdullah Al-Musnad, Rayan Al-Shaya
http://arxiv.org/abs/2008.03232v1
• [cs.CL]SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media
Amirreza Shirani, Franck Dernoncourt, Nedim Lipka, Paul Asente, Jose Echevarria, Thamar Solorio
http://arxiv.org/abs/2008.03274v1
• [cs.CL]Which Kind Is Better in Open-domain Multi-turn Dialog,Hierarchical or Non-hierarchical Models? An Empirical Study
Tian Lan, Xian-Ling Mao, Wei Wei, Heyan Huang
http://arxiv.org/abs/2008.02964v1
• [cs.CL]aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning
Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov
http://arxiv.org/abs/2008.02837v1
• [cs.CR]A Theory of Hypergames on Graphs for Synthesizing Dynamic Cyber Defense with Deception
Abhishek N. Kulkarni, Jie Fu
http://arxiv.org/abs/2008.03210v1
• [cs.CR]Deep Active Learning with Crowdsourcing Data for Privacy Policy Classification
Wenjun Qiu, David Lie
http://arxiv.org/abs/2008.02954v1
• [cs.CR]Optimizing Information Loss Towards Robust Neural Networks
Philip Sperl, Konstantin Böttinger
http://arxiv.org/abs/2008.03072v1
• [cs.CR]Why are Developers Struggling to Put GDPR into Practice when Developing Privacy-Preserving Software Systems?
Abdulrahman Alhazmi, Nalin Asanka Gamagedara Arachchilage
http://arxiv.org/abs/2008.02987v1
• [cs.CV]A Deeper Look at Salient Object Detection: Bi-stream Network with a Small Training Dataset
Zhenyu Wu, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin
http://arxiv.org/abs/2008.02938v1
• [cs.CV]A Multi-Task Learning Approach for Human Action Detection and Ergonomics Risk Assessment
Behnoosh Parsa, Ashis G. Banerjee
http://arxiv.org/abs/2008.03014v1
• [cs.CV]A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception
Chenglizhao Chen, Jia Song, Chong Peng, Guodong Wang, Yuming Fang
http://arxiv.org/abs/2008.02966v1
• [cs.CV]A Study on Visual Perception of Light Field Content
Ailbhe Gill, Emin Zerman, Cagri Ozcinar, Aljosa Smolic
http://arxiv.org/abs/2008.03195v1
• [cs.CV]A Surgery of the Neural Architecture Evaluators
Xuefei Ning, Wenshuo Li, Zixuan Zhou, Tianchen Zhao, Yin Zheng, Shuang Liang, Huazhong Yang, Yu Wang
http://arxiv.org/abs/2008.03064v1
• [cs.CV]An Indexing Scheme and Descriptor for 3D Object Retrieval Based on Local Shape Querying
Bart Iver van Blokland, Theoharis Theoharis
http://arxiv.org/abs/2008.02916v1
• [cs.CV]Associative Partial Domain Adaptation
Youngeun Kim, Sungeun Hong, Seunghan Yang, Sungil Kang, Yunho Jeon, Jiwon Kim
http://arxiv.org/abs/2008.03111v1
• [cs.CV]Cascade Graph Neural Networks for RGB-D Salient Object Detection
Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu
http://arxiv.org/abs/2008.03087v1
• [cs.CV]Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer
Dejan Kostyszyn, Tobias Fechter, Nico Bartl, Anca L. Grosu, Christian Gratzke, August Sigle, Michael Mix, Juri Ruf, Thomas F. Fassbender, Selina Kiefer, Alisa S. Bettermann, Nils H. Nicolay, Simon Spohn, Maria U. Kramer, Peter Bronsert, Hongqian Guo, Xuefeng Qiu, Feng Wang, Christoph Henkenberens, Rudolf A. Werner, Dimos Baltas, Philipp T. Meyer, Thorsten Derlin, Mengxia Chen, Constantinos Zamboglou
http://arxiv.org/abs/2008.03201v1
• [cs.CV]Deep Ordinal Regression Forests
Haiping Zhu, Yuheng Zhang, Hongming Shan, Lingfu Che, Xiaoyang Xu, Junping Zhang, Jianbo Shi, Fei-Yue Wang
http://arxiv.org/abs/2008.03077v1
• [cs.CV]Deep Robust Clustering by Contrastive Learning
Huasong Zhong, Chong Chen, Zhongming Jin, Xian-Sheng Hua
http://arxiv.org/abs/2008.03030v1
• [cs.CV]Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection
Chenglizhao Chen, Guotao Wang, Chong Peng, Dingwen Zhang, Yuming Fang, Hong Qin
http://arxiv.org/abs/2008.02973v1
• [cs.CV]Few Shot Learning Framework to Reduce Inter-observer Variability in Medical Images
Sohini Roychowdhury
http://arxiv.org/abs/2008.02952v1
• [cs.CV]Global Context Aware Convolutions for 3D Point Cloud Understanding
Zhiyuan Zhang, Binh-Son Hua, Wei Chen, Yibin Tian, Sai-Kit Yeung
http://arxiv.org/abs/2008.02986v1
• [cs.CV]HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures
Yichao Zhou, Jingwei Huang, Xili Dai, Linjie Luo, Zhili Chen, Yi Ma
http://arxiv.org/abs/2008.03286v1
• [cs.CV]Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems
Kailai Zhou, Linsen Chen, Xun Cao
http://arxiv.org/abs/2008.03043v1
• [cs.CV]Leveraging Localization for Multi-camera Association
Zhongang Cai, Cunjun Yu, Junzhe Zhang, Jiawei Ren, Haiyu Zhao
http://arxiv.org/abs/2008.02992v1
• [cs.CV]Multi-Level Temporal Pyramid Network for Action Detection
Xiang Wang, Changxin Gao, Shiwei Zhang, Nong Sang
http://arxiv.org/abs/2008.03270v1
• [cs.CV]Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis
Masoumeh Zareapoor, Pourya Shamsolmoali, Jie Yang
http://arxiv.org/abs/2008.03071v1
• [cs.CV]Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning
Guillermo Garcia-Hernando, Edward Johns, Tae-Kyun Kim
http://arxiv.org/abs/2008.03285v1
• [cs.CV]Polysemy Deciphering Network for Robust Human-Object Interaction Detection
Xubin Zhong, Changxing Ding, Xian Qu, Dacheng Tao
http://arxiv.org/abs/2008.02918v1
• [cs.CV]Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition
Yixiong Zou, Shanghang Zhang, José M. F. Moura, JianPeng Yu, Yonghong Tian
http://arxiv.org/abs/2008.03128v1
• [cs.CV]SimPatch: A Nearest Neighbor Similarity Match between Image Patches
Aritra Banerjee
http://arxiv.org/abs/2008.03085v1
• [cs.CV]Single-stage intake gesture detection using CTC loss and extended prefix beam search
Philipp V. Rouast, Marc T. P. Adam
http://arxiv.org/abs/2008.02999v1
• [cs.CV]Textual Description for Mathematical Equations
Ajoy Mondal, C. V. Jawahar
http://arxiv.org/abs/2008.02980v1
• [cs.CY]A no-phone/no-app contact tracing hardware token
T. Bensky
http://arxiv.org/abs/2008.02851v1
• [cs.CY]Energy Communities: From European Law to Numerical Modeling
Clement Alaton, Jesus Contreras-Ocaña, Philippine de Radiguès, Thomas Döring, Frédéric Tounquet
http://arxiv.org/abs/2008.03044v1
• [cs.DB]Tera-SLASH: A Distributed Energy-Efficient MPI based LSH System for Tera-Scale Similarity Search
Nicholas Meisburger, Anshumali Shrivastava
http://arxiv.org/abs/2008.03260v1
• [cs.DC]Boosting Parallel Influence-Maximization Kernels for Undirected Networks with Fusing and Vectorization
Gokhan Gokturk, Kamer Kaya
http://arxiv.org/abs/2008.03095v1
• [cs.DC]Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning
Jin Wang, Jia Hu, Geyong Min, Albert Y. Zomaya, Nektarios Georgalas
http://arxiv.org/abs/2008.02033v3
• [cs.DL]Brain Drain and Brain Gain in Russia: Analyzing International Migration of Researchers by Discipline using Scopus Bibliometric Data 1996-2020
Alexander Subbotin, Samin Aref
http://arxiv.org/abs/2008.03129v1
• [cs.DS]Low-Congestion Shortcuts for Graphs Excluding Dense Minors
Mohsen Ghaffari, Bernhard Haeupler
http://arxiv.org/abs/2008.03091v1
• [cs.HC]Middle-Aged Video Consumers’ Beliefs About Algorithmic Recommendations on YouTube
Oscar Alvarado, Hendrik Heuer, Vero Vanden Abeele, Andreas Breiter, Katrien Verbert
http://arxiv.org/abs/2008.03202v1
• [cs.IR]MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
Wentao Ouyang, Xiuwu Zhang, Lei Zhao, Jinmei Luo, Yu Zhang, Heng Zou, Zhaojie Liu, Yanlong Du
http://arxiv.org/abs/2008.02974v1
• [cs.IT]A Channel Model of Transceivers for Multiterminal Secret Key Agreement
Alireza Poostindouz, Reihaneh Safavi-Naini
http://arxiv.org/abs/2008.02977v1
• [cs.IT]Joint Uplink-and-Downlink Optimization of 3D UAV Swarm Deployment for Wireless-Powered NB-IoT Networks
Han-Ting Ye, Xin Kang, Jingon Joung, Ying-Chang Liang
http://arxiv.org/abs/2008.02993v1
• [cs.IT]On the Distribution of the Sum of Málaga-$\mathcal{M}$ Random Variables and Applications
Elmehdi Illi, Faissal El Bouanani, Fouad Ayoub
http://arxiv.org/abs/2008.03108v1
• [cs.IT]Performance of Underwater Wireless Optical Communications in Presents of Cascaded Mixture Exponential-Generalized Gamma Turbulence
Yi Lou, Julian Cheng, Donghu Nie, Gang Qiao
http://arxiv.org/abs/2008.02868v1
• [cs.LG]A Technique for Determining Relevance Scores of Process Activities using Graph-based Neural Networks
Matthias Stierle, Sven Weinzierl, Maximilian Harl, Martin Matzner
http://arxiv.org/abs/2008.03110v1
• [cs.LG]A boosted outlier detection method based on the spectrum of the Laplacian matrix of a graph
Nicolas Cofre
http://arxiv.org/abs/2008.03039v1
• [cs.LG]Assisted Perception: Optimizing Observations to Communicate State
Siddharth Reddy, Sergey Levine, Anca D. Dragan
http://arxiv.org/abs/2008.02840v1
• [cs.LG]Bootstrapping Neural Processes
Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh
http://arxiv.org/abs/2008.02956v1
• [cs.LG]Convolutional Complex Knowledge Graph Embeddings
Caglar Demir, Axel-Cyrille Ngonga Ngomo
http://arxiv.org/abs/2008.03130v1
• [cs.LG]Fatigue Assessment using ECG and Actigraphy Sensors
Yang Bai, Yu Guan, Wan-Fai Ng
http://arxiv.org/abs/2008.02871v1
• [cs.LG]From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional Connectivity
Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
http://arxiv.org/abs/2008.02961v1
• [cs.LG]Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations
Ziquan Liu, Yufei Cui, Antoni B. Chan
http://arxiv.org/abs/2008.02965v1
• [cs.LG]Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification
Sina Däubener, Asja Fischer
http://arxiv.org/abs/2008.03209v1
• [cs.LG]Iterative Compression of End-to-End ASR Model using AutoML
Abhinav Mehrotra, Łukasz Dudziak, Jinsu Yeo, Young-yoon Lee, Ravichander Vipperla, Mohamed S. Abdelfattah, Sourav Bhattacharya, Samin Ishtiaq, Alberto Gil C. P. Ramos, SangJeong Lee, Daehyun Kim, Nicholas D. Lane
http://arxiv.org/abs/2008.02897v1
• [cs.LG]Neural Complexity Measures
Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi
http://arxiv.org/abs/2008.02953v1
• [cs.LG]SafePILCO: a software tool for safe and data-efficient policy synthesis
Kyriakos Polymenakos, Nikitas Rontsis, Alessandro Abate, Stephen Roberts
http://arxiv.org/abs/2008.03273v1
• [cs.LG]Spacecraft Collision Avoidance Challenge: design and results of a machine learning competition
Thomas Uriot, Dario Izzo, Luis Simoes, Rasit Abay, Nils Einecke, Sven Rebhan, Jose Martinez-Heras, Francesca Letizia, Jan Siminski, Klaus Merz
http://arxiv.org/abs/2008.03069v1
• [cs.LG]Stronger and Faster Wasserstein Adversarial Attacks
Kaiwen Wu, Allen Houze Wang, Yaoliang Yu
http://arxiv.org/abs/2008.02883v1
• [cs.LG]Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval
Tao Wu, Ellie Ka-In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao
http://arxiv.org/abs/2008.02930v1
• [cs.NI]A Game-Theoretic Drone-as-a-Service Composition for Delivery
Babar Shahzaad, Athman Bouguettaya, Sajib Mistry
http://arxiv.org/abs/2008.03066v1
• [cs.NI]IEEE 802.11be: Wi-Fi 7 Strikes Back
Adrian Garcia-Rodriguez, David Lopez-Perez, Lorenzo Galati-Giordano, Giovanni Geraci
http://arxiv.org/abs/2008.02815v1
• [cs.RO]**Motion Planning and Control for On-Orbit Assembly using LQR-RRT and Nonlinear MPC
Bryce Doerr, Richard Linares
http://arxiv.org/abs/2008.02846v1
• [cs.RO]Parts-Based Articulated Object Localization in Clutter Using Belief Propagation
Jana Pavlasek, Stanley Lewis, Karthik Desingh, Odest Chadwicke Jenkins
http://arxiv.org/abs/2008.02881v1
• [cs.SE]An Empirical Study on Developing Secure Mobile Health Apps: The Developers Perspective
Bakheet Aljedaani, Aakash Ahmad, Mansooreh Zahedi, M. Ali Babar
http://arxiv.org/abs/2008.03034v1
• [cs.SI]COVID, BLM, and the polarization of US politicians on Twitter
Anmol Panda, Divya Siddarth, Joyojeet Pal
http://arxiv.org/abs/2008.03263v1
• [cs.SI]Can Smartphone Co-locations Detect Friendship? ItDepends How You Model It
Momin M. Malik, Afsaneh Doryab, Michael Merrill, Anind K. Dey
http://arxiv.org/abs/2008.02919v1
• [cs.SI]Investigating Coordinated ‘Social’ Targeting of High-Profile Twitter Accounts
Hunter Scott Heidenreich, Munif Ishad Mujib, Jake Ryland Williams
http://arxiv.org/abs/2008.02874v1
• [cs.SI]NewsTweet: A Dataset of Social Media Embedding in Online Journalism
Munif Ishad Mujib, Hunter Scott Heidenreich, Colin J. Murphy, Giovanni C. Santia, Asta Zelenkauskaite, Jake Ryland Williams
http://arxiv.org/abs/2008.02870v1
• [eess.AS]A Machine of Few Words — Interactive Speaker Recognition with Reinforcement Learning
Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
http://arxiv.org/abs/2008.03127v1
• [eess.AS]Applying Speech Tempo-Derived Features, BoAW and Fisher Vectors to Detect Elderly Emotion and Speech in Surgical Masks
Gábor Gosztolya, László Tóth
http://arxiv.org/abs/2008.03183v1
• [eess.AS]Incremental Text to Speech for Neural Sequence-to-Sequence Models using Reinforcement Learning
Devang S Ram Mohan, Raphael Lenain, Lorenzo Foglianti, Tian Huey Teh, Marlene Staib, Alexandra Torresquintero, Jiameng Gao
http://arxiv.org/abs/2008.03096v1
• [eess.AS]Investigation of Speaker-adaptation methods in Transformer based ASR
Vishwas M. Shetty, Metilda Sagaya Mary N J, S. Umesh
http://arxiv.org/abs/2008.03247v1
• [eess.AS]Peking Opera Synthesis via Duration Informed Attention Network
Yusong Wu, Shengchen Li, Chengzhu Yu, Heng Lu, Chao Weng, Liqiang Zhang, Dong Yu
http://arxiv.org/abs/2008.03029v1
• [eess.AS]Pretraining Techniques for Sequence-to-Sequence Voice Conversion
Wen-Chin Huang, Tomoki Hayashi, Yi-Chiao Wu, Hirokazu Kameoka, Tomoki Toda
http://arxiv.org/abs/2008.03088v1
• [eess.IV]Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation
Hiroki Ito, Yuma Kinoshita, Hitoshi Kiya
http://arxiv.org/abs/2008.03143v1
• [eess.IV]In-Depth DCT Coefficient Distribution Analysis for First Quantization Estimation
Sebastiano Battiato, Oliver Giudice, Francesco Guarnera, Giovanni Puglisi
http://arxiv.org/abs/2008.03206v1
• [eess.IV]NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal
Chongyi Li, Huazhu Fu, Runmin Cong, Zechao Li, Qianqian Xu
http://arxiv.org/abs/2008.02984v1
• [eess.IV]The Ensemble Method for Thorax Diseases Classification
Bayu A. Nugroho
http://arxiv.org/abs/2008.03008v1
• [eess.SP]6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities
Harsh Tataria, Mansoor Shafi, Andreas F. Molisch, Mischa Dohler, Henrik Sjöland, Fredrik Tufvesson
http://arxiv.org/abs/2008.03213v1
• [math.OC]Iterative Pre-Conditioning for Expediting the Gradient-Descent Method: The Distributed Linear Least-Squares Problem
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra
http://arxiv.org/abs/2008.02856v1
• [math.OC]Polynomial-time algorithms for Multimarginal Optimal Transport problems with structure
Jason M. Altschuler, Enric Boix-Adsera
http://arxiv.org/abs/2008.03006v1
• [math.ST]An information geometry approach for robustness analysis in uncertainty quantification of computer codes
Clement Gauchy, Jerome Stenger, Roman Sueur, Bertrand Iooss
http://arxiv.org/abs/2008.03060v1
• [math.ST]Generating Sparse Stochastic Processes Using Matched Splines
Leello Dadi, Shayan Aziznejad, Michael Unser
http://arxiv.org/abs/2008.03181v1
• [math.ST]On the invertibility in periodic ARFIMA models
Amine Amimour, Karima Belaide
http://arxiv.org/abs/2008.02978v1
• [math.ST]The Tensor Quadratic Forms
Shuheng Zhou
http://arxiv.org/abs/2008.03244v1
• [math.ST]Unifying Compactly Supported and Matern Covariance Functions in Spatial Statistics
M. Bevilacqua, C. Caamaño-Carrillo, E. Porcu
http://arxiv.org/abs/2008.02904v1
• [physics.soc-ph]A general solution to the preferential selection model
Jake Ryland Williams, Diana Solano-Oropeza, Jacob R. Hunsberger
http://arxiv.org/abs/2008.02885v1
• [q-bio.QM]Generating a Heterosexual Bipartite Network Embedded in Social Network
Asma Azizi, Zhuolin Qu, Bryan Lewis, James Mac Hyman
http://arxiv.org/abs/2008.03167v1
• [quant-ph]Quantum State Tomography with Conditional Generative Adversarial Networks
Shahnawaz Ahmed, Carlos Sánchez Muñoz, Franco Nori, Anton Frisk Kockum
http://arxiv.org/abs/2008.03240v1
• [stat.AP]From the power law to extreme value mixture distributions
Clement Lee, Emma Eastoe
http://arxiv.org/abs/2008.03073v1
• [stat.AP]On the Interplay of Regional Mobility, Social Connectedness, and the Spread of COVID-19 in Germany
Cornelius Fritz, Göran Kauermann
http://arxiv.org/abs/2008.03013v1
• [stat.CO]BAT.jl — A Julia-based tool for Bayesian inference
Oliver Schulz, Frederik Beaujean, Allen Caldwell, Cornelius Grunwald, Vasyl Hafych, Kevin Kröninger, Salvatore La Cagnina, Lars Röhrig, Lolian Shtembari
http://arxiv.org/abs/2008.03132v1
• [stat.CO]MCMC Algorithms for Posteriors on Matrix Spaces
Alexandros Beskos, Kengo Kamatani
http://arxiv.org/abs/2008.02906v1
• [stat.ME]A Note on Using Discretized Simulated Data to Estimate Implicit Likelihoods in Bayesian Analyses
M. S. Hamada, T. L. Graves, N. W. Hengartner, D. M. Higdon, A. V. Huzurbazar, E. C. Lawrence, C. D. Linkletter, C. S. Reese, D. W. Scott, R. R. Sitter, R. L. Warr, B. J. Williams
http://arxiv.org/abs/2008.02926v1
• [stat.ME]Bayesian causal inference for count potential outcomes
Young Lee, Wicher P. Bergsma, Marie-Abele C. Bind
http://arxiv.org/abs/2008.03271v1
• [stat.ME]Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisited
Timo Dimitriadis, Tilmann Gneiting, Alexander I. Jordan
http://arxiv.org/abs/2008.03033v1
• [stat.ME]Kernel Ordinary Differential Equations
Xiaowu Dai, Lexin Li
http://arxiv.org/abs/2008.02915v1
• [stat.ME]Manifold-adaptive dimension estimation revisited
Zsigmond Benkő, Marcell Stippinger, Roberta Rehus, Attila Bencze, Dániel Fabó, Boglárka Hajnal, Loránd Erőss, András Telcs, Zoltán Somogyvári
http://arxiv.org/abs/2008.03221v1
• [stat.ME]Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
Lin Liu, Rajarshi Mukherjee, James M. Robins
http://arxiv.org/abs/2008.03288v1
• [stat.ML]A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research
Jingyi Zhang, Wenxuan Zhong, Ping Ma
http://arxiv.org/abs/2008.02995v1
• [stat.ML]Benign Overfitting and Noisy Features
Zhu Li, Weijie Su, Dino Sejdinovic
http://arxiv.org/abs/2008.02901v1
• [stat.ML]Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
Subhroshekhar Ghosh, Krishnakumar Balasubramanian, Xiaochuan Yang
http://arxiv.org/abs/2008.03038v1
• [stat.ML]Individual Treatment Effect Estimation in a Low Compliance Setting
Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert
http://arxiv.org/abs/2008.03235v1
• [stat.ML]Learning Insulin-Glucose Dynamics in the Wild
Andrew C. Miller, Nicholas J. Foti, Emily Fox
http://arxiv.org/abs/2008.02852v1
• [stat.ML]Perfect Reconstruction of Sparse Signals via Greedy Monte-Carlo Search
Kao Hayash, Tomoyuki Obuchi, Yoshiyuki Kabashima
http://arxiv.org/abs/2008.03175v1
• [stat.ML]Scalable Low-Rank Autoregressive Tensor Learning for Spatiotemporal Traffic Data Imputation
Xinyu Chen, Yixian Chen, Lijun Sun
http://arxiv.org/abs/2008.03194v1