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