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.DC - 分布式、并行与集群计算 cs.FL - 形式语言与自动机理论 cs.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 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.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 q-bio.PE - 人口与发展 q-fin.ST - 统计金融学 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

    • [cs.AI]Constructed emotions and superinformation: a constructor-theoretic approach
    • [cs.AI]Feature-Extracting Functions for Neural Logic Rule Learning
    • [cs.AI]Interpretable Real-Time Win Prediction for Honor of Kings, a Popular Mobile MOBA Esport
    • [cs.AI]Multi-Agent Deep Reinforcement Learning enabled Computation Resource Allocation in a Vehicular Cloud Network
    • [cs.AI]OR-Gym: A Reinforcement Learning Library for Operations Research Problem
    • [cs.AI]Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter
    • [cs.CL]ANDES at SemEval-2020 Task 12: A jointly-trained BERT multilingual model for offensive language detection
    • [cs.CL]Graph-based Modeling of Online Communities for Fake News Detection
    • [cs.CL]Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems
    • [cs.CL]Predicting Event Time by Classifying Sub-Level Temporal Relations Induced from a Unified Representation of Time Anchors
    • [cs.CL]Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces
    • [cs.CL]Studying Dishonest Intentions in Brazilian Portuguese Texts
    • [cs.CL]Unsupervised vs. transfer learning for multimodal one-shot matching of speech and images
    • [cs.CR]A New Path to Code-based Signatures via Identification Schemes with Restricted Errors
    • [cs.CR]First Step Towards Modeling Unbreakable Malware
    • [cs.CR]Privacy Preserving Vertical Federated Learning for Tree-based Models
    • [cs.CV]3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View
    • [cs.CV]A Learning-based Method for Online Adjustment of C-arm Cone-Beam CT Source Trajectories for Artifact Avoidance
    • [cs.CV]A Multimodal Late Fusion Model for E-Commerce Product Classification
    • [cs.CV]Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability
    • [cs.CV]An Improved Deep Convolutional Neural Network-Based Autonomous Road Inspection Scheme Using Unmanned Aerial Vehicles
    • [cs.CV]Apparel-invariant Feature Learning for Apparel-changed Person Re-identification
    • [cs.CV]BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation
    • [cs.CV]ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection
    • [cs.CV]Deep Atrous Guided Filter for Image Restoration in Under Display Cameras
    • [cs.CV]Feedback Attention for Cell Image Segmentation
    • [cs.CV]GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes
    • [cs.CV]Not 3D Re-ID: a Simple Single Stream 2D Convolution for Robust Video Re-identification
    • [cs.CV]Optimized Deep Encoder-Decoder Methods for Crack Segmentation
    • [cs.CV]Parameters Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification
    • [cs.CV]PointMixup: Augmentation for Point Clouds
    • [cs.CV]RODEO: Replay for Online Object Detection
    • [cs.CV]Rb-PaStaNet: A Few-Shot Human-Object Interaction Detection Based on Rules and Part States
    • [cs.CV]Renormalization for Initialization of Rolling Shutter Visual-Inertial Odometry
    • [cs.CV]Self-adapting confidence estimation for stereo
    • [cs.CV]Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor
    • [cs.CV]Survey of XAI in digital pathology
    • [cs.CY]Annotating for Hate Speech: The MaNeCo Corpus and Some Input from Critical Discourse Analysis
    • [cs.CY]Challenges of Linking Organizational Information in Open Government Data to Knowledge Graphs
    • [cs.CY]Reasonable Machines: A Research Manifesto
    • [cs.DC]Consideration for effectively handling parallel workloads on public cloud system
    • [cs.DC]Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data
    • [cs.FL]An Efficient Model Inference Algorithm for Learning-based Testing of Reactive Systems
    • [cs.GR]Self-Sampling for Neural Point Cloud Consolidation
    • [cs.IR]A Hybrid BERT and LightGBM based Model for Predicting Emotion GIF Categories on Twitter
    • [cs.IR]Cannot Predict Comment Volume of a News Article before (a few) Users Read It
    • [cs.IR]Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification
    • [cs.IT]Full-Duplex Amplify-and-Forward MIMO Relaying: Impairments Aware Design and Performance Analysis
    • [cs.IT]Infinite Divisibility of Information
    • [cs.IT]MIMO SWIPT Systems with Power Amplifier Nonlinearities and Memory Effects
    • [cs.IT]New schemes under coded caching placement
    • [cs.IT]On single server private information retrieval in a coding theory perspective
    • [cs.IT]On the Sample Complexity of Super-Resolution Radar
    • [cs.IT]Performance of UAV-assisted D2D Networks in the Finite Block-length Regime
    • [cs.IT]User Association in Coexisting RF and TeraHertz Networks in 6G
    • [cs.LG]A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis
    • [cs.LG]Analytical bounds on the local Lipschitz constants of affine-ReLU functions
    • [cs.LG]Can weight sharing outperform random architecture search? An investigation with TuNAS
    • [cs.LG]Comprehensive forecasting based analysis using stacked stateless and stateful Gated Recurrent Unit models
    • [cs.LG]Cooperative Multi-Agent Bandits with Heavy Tails
    • [cs.LG]Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning
    • [cs.LG]Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data
    • [cs.LG]Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints
    • [cs.LG]Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization
    • [cs.LG]Joint Policy Search for Multi-agent Collaboration with Imperfect Information
    • [cs.LG]Kernel Methods for Cooperative Multi-Agent Contextual Bandits
    • [cs.LG]MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities
    • [cs.LG]Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review
    • [cs.LG]Mastering Rate based Curriculum Learning
    • [cs.LG]On Localized Discrepancy for Domain Adaptation
    • [cs.LG]Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning
    • [cs.LG]Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs
    • [cs.LG]SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud
    • [cs.LG]Sample-efficient Cross-Entropy Method for Real-time Planning
    • [cs.LG]Supervised Topological Maps
    • [cs.LG]Towards Class Imbalance in Federated Learning
    • [cs.LG]Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty
    • [cs.LO]Partial Orders, Residuation, and First-Order Linear Logic
    • [cs.MM]WAN: Watermarking Attack Network
    • [cs.NE]Continuous Optimization Benchmarks by Simulation
    • [cs.NE]Learnability and Robustness of Shallow Neural Networks Learned With a Performance-Driven BP and a Variant PSO For Edge Decision-Making
    • [cs.NE]Multifunctionality in a Reservoir Computer
    • [cs.NI]Computation Offloading in Heterogeneous Vehicular Edge Networks: On-line and Off-policy Bandit Solutions
    • [cs.RO]A Vision-Based Control Method for Autonomous Landing of Vertical Flight Aircraft On a Moving Platform Without Using GPS
    • [cs.RO]Gaining environments through shape change
    • [cs.RO]On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic
    • [cs.SI]ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter
    • [cs.SI]Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Infection of COVID-19 in India
    • [cs.SI]Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model
    • [cs.SI]One Size Does Not Fit All: A Study of Badge Behavior in Stack Overflow
    • [econ.EM]Bounding Disease Prevalence by Bounding Selectivity and Accuracy of Tests: The Case of COVID-19
    • [eess.AS]Adaptable Multi-Domain Language Model for Transformer ASR
    • [eess.AS]End-to-End Trainable Self-Attentive Shallow Network for Text-Independent Speaker Verification
    • [eess.AS]The Impact of Label Noise on a Music Tagger
    • [eess.IV]Homotopic Gradients of Generative Density Priors for MR Image Reconstruction
    • [eess.IV]Interpretation of Brain Morphology in Association to Alzheimer’s Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes
    • [eess.IV]Landmark detection in Cardiac Magnetic Resonance Imaging Using A Convolutional Neural Network
    • [eess.IV]Unsupervised Image Restoration Using Partially Linear Denoisers
    • [eess.IV]Weakly-supervised Learning for Single-step Quantitative Susceptibility Mapping
    • [math.OC]Complexity aspects of local minima and related notions
    • [math.PR]Characterizing the Zeta Distribution via Continuous Mixtures
    • [math.ST]Calibrating the scan statistic: finite sample performance vs. asymptotics
    • [math.ST]Uniqueness and global optimality of the maximum likelihood estimator for the generalized extreme value distribution
    • [physics.ao-ph]A Deep Convolutional Neural Network Model for improving WRF Forecasts
    • [q-bio.PE]A Spatial Stochastic SIR Model for Transmission Networks with Application to COVID-19 Epidemic in China
    • [q-fin.ST]Neural Network-based Automatic Factor Construction
    • [quant-ph]Statistical Aspects of the Quantum Supremacy Demonstration
    • [stat.AP]Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects
    • [stat.AP]On the correlation analysis of illiquid stocks
    • [stat.AP]Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans
    • [stat.ME]A Maximin $Φ_{p}$-Efficient Design for Multivariate GLM
    • [stat.ME]An estimator for predictive regression: reliable inference for financial economics
    • [stat.ME]Bayesian Quantile Matching Estimation
    • [stat.ME]Bayesian joint inference for multiple directed acyclic graphs
    • [stat.ME]Bayesian model selection in additive partial linear models via locally adaptive splines
    • [stat.ME]Bounding the local average treatment effect in an instrumental variable analysis of engagement with a mobile intervention
    • [stat.ME]Deconfounding and Causal Regularization for Stability and External Validity
    • [stat.ME]Graphical tests of independence for general distributions
    • [stat.ME]Optimal Design for A/B Testing in the Presence of Covariates and Network Connection
    • [stat.ME]Semiparametric Estimation and Inference on Structural Target Functions using Machine Learning and Influence Functions
    • [stat.ML]Efficient hyperparameter optimization by way of PAC-Bayes bound minimization
    • [stat.ML]Feature Selection Methods for Cost-Constrained Classification in Random Forests
    • [stat.ML]Provable More Data Hurt in High Dimensional Least Squares Estimator
    • [stat.ML]Synthesizing Property & Casualty Ratemaking Datasets using Generative Adversarial Networks
    • [stat.ML]The Projected Belief Network Classfier : both Generative and Discriminative

    ·····································

    • [cs.AI]Constructed emotions and superinformation: a constructor-theoretic approach
    Riccardo Franco
    http://arxiv.org/abs/2008.06052v1

    • [cs.AI]Feature-Extracting Functions for Neural Logic Rule Learning
    Shashank Gupta, Antonio Robles-Kelly
    http://arxiv.org/abs/2008.06326v1

    • [cs.AI]Interpretable Real-Time Win Prediction for Honor of Kings, a Popular Mobile MOBA Esport
    Zelong Yang, Zhufeng Pan, Yan Wang, Deng Cai, Shuming Shi, Shao-Lun Huang, Xiaojiang Liu
    http://arxiv.org/abs/2008.06313v1

    • [cs.AI]Multi-Agent Deep Reinforcement Learning enabled Computation Resource Allocation in a Vehicular Cloud Network
    Shilin Xu, Caili Guo, Rose Qingyang Hu, Yi Qian
    http://arxiv.org/abs/2008.06464v1

    • [cs.AI]OR-Gym: A Reinforcement Learning Library for Operations Research Problem
    Christian D. Hubbs, Hector D. Perez, Owais Sarwar, Nikolaos V. Sahinidis, Ignacio E. Grossmann, John M. Wassick
    http://arxiv.org/abs/2008.06319v1

    • [cs.AI]Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter
    Andrey Kurenkov, Joseph Taglic, Rohun Kulkarni, Marcus Dominguez-Kuhne, Animesh Garg, Roberto Martín-Martín, Silvio Savarese
    http://arxiv.org/abs/2008.06073v1

    • [cs.CL]ANDES at SemEval-2020 Task 12: A jointly-trained BERT multilingual model for offensive language detection
    Juan Manuel Pérez, Aymé Arango, Franco Luque
    http://arxiv.org/abs/2008.06408v1

    • [cs.CL]Graph-based Modeling of Online Communities for Fake News Detection
    Shantanu Chandra, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
    http://arxiv.org/abs/2008.06274v1

    • [cs.CL]Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems
    Andrea Madotto
    http://arxiv.org/abs/2008.06239v1

    • [cs.CL]Predicting Event Time by Classifying Sub-Level Temporal Relations Induced from a Unified Representation of Time Anchors
    Fei Cheng, Yusuke Miyao
    http://arxiv.org/abs/2008.06452v1

    • [cs.CL]Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces
    Milind Rao, Anirudh Raju, Pranav Dheram, Bach Bui, Ariya Rastrow
    http://arxiv.org/abs/2008.06173v1

    • [cs.CL]Studying Dishonest Intentions in Brazilian Portuguese Texts
    Francielle Alves Vargas, Thiago Alexandre Salgueiro Pardo
    http://arxiv.org/abs/2008.06079v1

    • [cs.CL]Unsupervised vs. transfer learning for multimodal one-shot matching of speech and images
    Leanne Nortje, Herman Kamper
    http://arxiv.org/abs/2008.06258v1

    • [cs.CR]A New Path to Code-based Signatures via Identification Schemes with Restricted Errors
    Marco Baldi, Massimo Battaglioni, Franco Chiaraluce, Anna-Lena Horlemann-Trautmann, Edoardo Persichetti, Paolo Santini, Violetta Weger
    http://arxiv.org/abs/2008.06403v1

    • [cs.CR]First Step Towards Modeling Unbreakable Malware
    Tiantian Ji, Binxing Fang, Xiang Cui, Zhongru Wang, Jiawen Diao, Tian Wang, Weiqiang Yu
    http://arxiv.org/abs/2008.06163v1

    • [cs.CR]Privacy Preserving Vertical Federated Learning for Tree-based Models
    Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi
    http://arxiv.org/abs/2008.06170v1

    • [cs.CV]3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View
    Marc Badger, Yufu Wang, Adarsh Modh, Ammon Perkes, Nikos Kolotouros, Bernd G. Pfrommer, Marc F. Schmidt, Kostas Daniilidis
    http://arxiv.org/abs/2008.06133v1

    • [cs.CV]A Learning-based Method for Online Adjustment of C-arm Cone-Beam CT Source Trajectories for Artifact Avoidance
    Mareike Thies, Jan-Nico Zäch, Cong Gao, Russell Taylor, Nassir Navab, Andreas Maier, Mathias Unberath
    http://arxiv.org/abs/2008.06262v1

    • [cs.CV]A Multimodal Late Fusion Model for E-Commerce Product Classification
    Ye Bi, Shuo Wang, Zhongrui Fan
    http://arxiv.org/abs/2008.06179v1

    • [cs.CV]Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability
    Avinash Kori, Parth Natekar, Ganapathy Krishnamurthi, Balaji Srinivasan
    http://arxiv.org/abs/2008.06457v1

    • [cs.CV]An Improved Deep Convolutional Neural Network-Based Autonomous Road Inspection Scheme Using Unmanned Aerial Vehicles
    Syed Ali Hassan, Tariq Rahim, Soo Young Shin
    http://arxiv.org/abs/2008.06189v1

    • [cs.CV]Apparel-invariant Feature Learning for Apparel-changed Person Re-identification
    Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xian-Sheng Hua
    http://arxiv.org/abs/2008.06181v1

    • [cs.CV]BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation
    Xianghui Yang, Bairun Wang, Kaige Chen, Xinchi Zhou, Shuai Yi, Wanli Ouyang, Luping Zhou
    http://arxiv.org/abs/2008.06226v1

    • [cs.CV]ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection
    Ye Liu, Junsong Yuan, Chang Wen Chen
    http://arxiv.org/abs/2008.06254v1

    • [cs.CV]Deep Atrous Guided Filter for Image Restoration in Under Display Cameras
    Varun Sundar, Sumanth Hegde, Divya Kothandaraman, Kaushik Mitra
    http://arxiv.org/abs/2008.06229v1

    • [cs.CV]Feedback Attention for Cell Image Segmentation
    Hiroki Tsuda, Eisuke Shibuya, Kazuhiro Hotta
    http://arxiv.org/abs/2008.06474v1

    • [cs.CV]GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes
    Weidong Zhang, Wei Zhang, Yinda Zhang
    http://arxiv.org/abs/2008.06286v1

    • [cs.CV]Not 3D Re-ID: a Simple Single Stream 2D Convolution for Robust Video Re-identification
    Toby P. Breckon, Aishah Alsehaim
    http://arxiv.org/abs/2008.06318v1

    • [cs.CV]Optimized Deep Encoder-Decoder Methods for Crack Segmentation
    Jacob König, Mark Jenkins, Mike Mannion, Peter Barrie, Gordon Morison
    http://arxiv.org/abs/2008.06266v1

    • [cs.CV]Parameters Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification
    Haijun Liu, Xiaoheng Tan
    http://arxiv.org/abs/2008.06223v1

    • [cs.CV]PointMixup: Augmentation for Point Clouds
    Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek
    http://arxiv.org/abs/2008.06374v1

    • [cs.CV]RODEO: Replay for Online Object Detection
    Manoj Acharya, Tyler L. Hayes, Christopher Kanan
    http://arxiv.org/abs/2008.06439v1

    • [cs.CV]Rb-PaStaNet: A Few-Shot Human-Object Interaction Detection Based on Rules and Part States
    Shenyu Zhang, Zichen Zhu, Qingquan Bao
    http://arxiv.org/abs/2008.06285v1

    • [cs.CV]Renormalization for Initialization of Rolling Shutter Visual-Inertial Odometry
    Branislav Micusik, Georgios Evangelidis
    http://arxiv.org/abs/2008.06399v1

    • [cs.CV]Self-adapting confidence estimation for stereo
    Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia
    http://arxiv.org/abs/2008.06447v1

    • [cs.CV]Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor
    Wensheng Cheng, Hao Luo, Wen Yang, Lei Yu, Wei Li
    http://arxiv.org/abs/2008.06204v1

    • [cs.CV]Survey of XAI in digital pathology
    Milda Pocevičiūtė, Gabriel Eilertsen, Claes Lundström
    http://arxiv.org/abs/2008.06353v1

    • [cs.CY]Annotating for Hate Speech: The MaNeCo Corpus and Some Input from Critical Discourse Analysis
    Stavros Assimakopoulos, Rebecca Vella Muskat, Lonneke van der Plas, Albert Gatt
    http://arxiv.org/abs/2008.06222v1

    • [cs.CY]Challenges of Linking Organizational Information in Open Government Data to Knowledge Graphs
    Jan Portisch, Omaima Fallatah, Sebastian Neumaier, Mohamad Yaser Jaradeh, Axel Polleres
    http://arxiv.org/abs/2008.06232v1

    • [cs.CY]Reasonable Machines: A Research Manifesto
    Christoph Benzmüller, Bertram Lomfeld
    http://arxiv.org/abs/2008.06250v1

    • [cs.DC]Consideration for effectively handling parallel workloads on public cloud system
    Kazuichi Oe
    http://arxiv.org/abs/2008.06152v1

    • [cs.DC]Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data
    Sohei Itahara, Takayuki Nishio, Yusuke Koda, Masahiro Morikura, Koji Yamamoto
    http://arxiv.org/abs/2008.06180v1

    • [cs.FL]An Efficient Model Inference Algorithm for Learning-based Testing of Reactive Systems
    Muddassar A. Sindhu
    http://arxiv.org/abs/2008.06268v1

    • [cs.GR]Self-Sampling for Neural Point Cloud Consolidation
    Gal Metzer, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
    http://arxiv.org/abs/2008.06471v1

    • [cs.IR]A Hybrid BERT and LightGBM based Model for Predicting Emotion GIF Categories on Twitter
    Ye Bi, Shuo Wang, Zhongrui Fan
    http://arxiv.org/abs/2008.06176v1

    • [cs.IR]Cannot Predict Comment Volume of a News Article before (a few) Users Read It
    Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard Dragut
    http://arxiv.org/abs/2008.06414v1

    • [cs.IR]Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification
    Xi Wang, Iadh Ounis, Craig Macdonald
    http://arxiv.org/abs/2008.06487v1

    • [cs.IT]Full-Duplex Amplify-and-Forward MIMO Relaying: Impairments Aware Design and Performance Analysis
    Omid Taghizadeh, Slawomir Stanczak, Hiroki Iimori, Giuseppe Abreu
    http://arxiv.org/abs/2008.06063v1

    • [cs.IT]Infinite Divisibility of Information
    Cheuk Ting Li
    http://arxiv.org/abs/2008.06092v1

    • [cs.IT]MIMO SWIPT Systems with Power Amplifier Nonlinearities and Memory Effects
    Priyadarshi Mukherjee, Souhir Lajnef, Ioannis Krikidis
    http://arxiv.org/abs/2008.06281v1

    • [cs.IT]New schemes under coded caching placement
    Mingming Zhang, Minquan Cheng, Jinyu Wang, Xi Zhong, Yishan Chen
    http://arxiv.org/abs/2008.06248v1

    • [cs.IT]On single server private information retrieval in a coding theory perspective
    Gianira N. Alfarano, Karan Khathuria, Violetta Weger
    http://arxiv.org/abs/2008.06417v1

    • [cs.IT]On the Sample Complexity of Super-Resolution Radar
    Mohammad Mahdi Kamjoo, Saeed Razavi, Sajad Daei
    http://arxiv.org/abs/2008.06462v1

    • [cs.IT]Performance of UAV-assisted D2D Networks in the Finite Block-length Regime
    Mehdi Monemi, Hina Tabassum
    http://arxiv.org/abs/2008.06137v1

    • [cs.IT]User Association in Coexisting RF and TeraHertz Networks in 6G
    Noha Hassan, Md Tanvir Hossan, Hina Tabassum
    http://arxiv.org/abs/2008.06160v1

    • [cs.LG]A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis
    Maria Hügle, Gabriel Kalweit, Thomas Huegle, Joschka Boedecker
    http://arxiv.org/abs/2008.06294v1

    • [cs.LG]Analytical bounds on the local Lipschitz constants of affine-ReLU functions
    Trevor Avant, Kristi A. Morgansen
    http://arxiv.org/abs/2008.06141v1

    • [cs.LG]Can weight sharing outperform random architecture search? An investigation with TuNAS
    Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc Le
    http://arxiv.org/abs/2008.06120v1

    • [cs.LG]Comprehensive forecasting based analysis using stacked stateless and stateful Gated Recurrent Unit models
    Swayamjit Saha, Niladri Majumder, Devansh Sangani
    http://arxiv.org/abs/2008.05575v2

    • [cs.LG]Cooperative Multi-Agent Bandits with Heavy Tails
    Abhimanyu Dubey, Alex Pentland
    http://arxiv.org/abs/2008.06244v1

    • [cs.LG]Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning
    Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun
    http://arxiv.org/abs/2008.06199v1

    • [cs.LG]Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data
    Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang
    http://arxiv.org/abs/2008.06197v1

    • [cs.LG]Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints
    Dmitri Goldenberg, Javier Albert, Lucas Bernardi, Pablo Estevez
    http://arxiv.org/abs/2008.06293v1

    • [cs.LG]Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization
    Chaojie Ji, Yijia Zheng, Ruxin Wang, Yunpeng Cai, Hongyan Wu
    http://arxiv.org/abs/2008.06246v1

    • [cs.LG]Joint Policy Search for Multi-agent Collaboration with Imperfect Information
    Yuandong Tian, Qucheng Gong, Tina Jiang
    http://arxiv.org/abs/2008.06495v1

    • [cs.LG]Kernel Methods for Cooperative Multi-Agent Contextual Bandits
    Abhimanyu Dubey, Alex Pentland
    http://arxiv.org/abs/2008.06220v1

    • [cs.LG]MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities
    Jason Armitage, Endri Kacupaj, Golsa Tahmasebzadeh, Swati, Maria Maleshkova, Ralph Ewerth, Jens Lehmann
    http://arxiv.org/abs/2008.06376v1

    • [cs.LG]Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review
    Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Aviles-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb
    http://arxiv.org/abs/2008.06388v1

    • [cs.LG]Mastering Rate based Curriculum Learning
    Lucas Willems, Salem Lahlou, Yoshua Bengio
    http://arxiv.org/abs/2008.06456v1

    • [cs.LG]On Localized Discrepancy for Domain Adaptation
    Yuchen Zhang, Mingsheng Long, Jianmin Wang, Michael I. Jordan
    http://arxiv.org/abs/2008.06242v1

    • [cs.LG]Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning
    Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang
    http://arxiv.org/abs/2008.06233v1

    • [cs.LG]Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs
    Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan
    http://arxiv.org/abs/2008.06082v1

    • [cs.LG]SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud
    Stefanos Laskaridis, Stylianos I. Venieris, Mario Almeida, Ilias Leontiadis, Nicholas D. Lane
    http://arxiv.org/abs/2008.06402v1

    • [cs.LG]Sample-efficient Cross-Entropy Method for Real-time Planning
    Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Joerg Stueckler, Michal Rolinek, Georg Martius
    http://arxiv.org/abs/2008.06389v1

    • [cs.LG]Supervised Topological Maps
    Francesco Mannella
    http://arxiv.org/abs/2008.06395v1

    • [cs.LG]Towards Class Imbalance in Federated Learning
    Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu
    http://arxiv.org/abs/2008.06217v1

    • [cs.LG]Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty
    Wonyoung Shin, Jung-Woo Ha, Shengzhe Li, Yongwoo Cho, Hoyean Song, Sunyoung Kwon
    http://arxiv.org/abs/2008.06218v1

    • [cs.LO]Partial Orders, Residuation, and First-Order Linear Logic
    Richard Moot
    http://arxiv.org/abs/2008.06351v1

    • [cs.MM]WAN: Watermarking Attack Network
    Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Seung-Min Mun, Heung-Kyu Lee
    http://arxiv.org/abs/2008.06255v1

    • [cs.NE]Continuous Optimization Benchmarks by Simulation
    Martin Zaefferer, Frederik Rehbach
    http://arxiv.org/abs/2008.06249v1

    • [cs.NE]Learnability and Robustness of Shallow Neural Networks Learned With a Performance-Driven BP and a Variant PSO For Edge Decision-Making
    Hongmei He, Mengyuan Chen, Gang Xu, Zhilong Zhu, Zhenhuan Zhu
    http://arxiv.org/abs/2008.06135v1

    • [cs.NE]Multifunctionality in a Reservoir Computer
    Andrew Flynn, Vassilios A. Tsachouridis, Andreas Amann
    http://arxiv.org/abs/2008.06348v1

    • [cs.NI]Computation Offloading in Heterogeneous Vehicular Edge Networks: On-line and Off-policy Bandit Solutions
    Arash Bozorgchenani, Setareh Maghsudi, Daniele Tarchi, Ekram Hossain
    http://arxiv.org/abs/2008.06302v1

    • [cs.RO]A Vision-Based Control Method for Autonomous Landing of Vertical Flight Aircraft On a Moving Platform Without Using GPS
    Bochan Lee, Vishnu Saj, Moble Benedict, Dileep Kalathil
    http://arxiv.org/abs/2008.05699v2

    • [cs.RO]Gaining environments through shape change
    Dylan S. Shah, Joshua P. Powers, Liana G. Tilton, Sam Kriegman, Josh Bongard, Rebecca Kramer-Bottiglio
    http://arxiv.org/abs/2008.06397v1

    • [cs.RO]On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic
    Huanjie Wang, Wenshuo Wang, Shihua Yuan, Xueyuan Li, Lijun Sun
    http://arxiv.org/abs/2008.06156v1

    • [cs.SI]ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter
    Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit Sheth, I. Budak Arpinar
    http://arxiv.org/abs/2008.06465v1

    • [cs.SI]Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Infection of COVID-19 in India
    Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Ch V Radha Sai Rupesh, Sakthi Balan Muthiah, Amit Sheth
    http://arxiv.org/abs/2008.06335v1

    • [cs.SI]Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model
    Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi
    http://arxiv.org/abs/2008.06460v1

    • [cs.SI]One Size Does Not Fit All: A Study of Badge Behavior in Stack Overflow
    Stav Yanovsky, Nicholas Hoernle, Omer Lev, Kobi Gal
    http://arxiv.org/abs/2008.06125v1

    • [econ.EM]Bounding Disease Prevalence by Bounding Selectivity and Accuracy of Tests: The Case of COVID-19
    Jörg Stoye
    http://arxiv.org/abs/2008.06178v1

    • [eess.AS]Adaptable Multi-Domain Language Model for Transformer ASR
    Taewoo Lee, Min-Joong Lee, Tae Gyoon Kang, Seokyeoung Jung, Minseok Kwon, Yeona Hong, Jungin Lee, Kyoung-Gu Woo, Ho-Gyeong Kim, Jiseung Jeong, Jihyun Lee, Hosik Lee, Young Sang Choi
    http://arxiv.org/abs/2008.06208v1

    • [eess.AS]End-to-End Trainable Self-Attentive Shallow Network for Text-Independent Speaker Verification
    Hyeonmook Park, Jungbae Park, Sang Wan Lee
    http://arxiv.org/abs/2008.06146v1

    • [eess.AS]The Impact of Label Noise on a Music Tagger
    Katharina Prinz, Arthur Flexer, Gerhard Widmer
    http://arxiv.org/abs/2008.06273v1

    • [eess.IV]Homotopic Gradients of Generative Density Priors for MR Image Reconstruction
    Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shanshan Wang, Dong Liang, Qiegen Liu
    http://arxiv.org/abs/2008.06284v1

    • [eess.IV]Interpretation of Brain Morphology in Association to Alzheimer’s Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes
    Emanuel A. Azcona, Pierre Besson, Yunan Wu, Arjun Punjabi, Adam Martersteck, Amil Dravid, Todd B. Parrish, S. Kathleen Bandt, Aggelos K. Katsaggelos
    http://arxiv.org/abs/2008.06151v1

    • [eess.IV]Landmark detection in Cardiac Magnetic Resonance Imaging Using A Convolutional Neural Network
    Hui Xue, Jessica Artico, Marianna Fontana, James C Moon, Rhodri H Davies, Peter Kellman
    http://arxiv.org/abs/2008.06142v1

    • [eess.IV]Unsupervised Image Restoration Using Partially Linear Denoisers
    Rihuan Ke, Carola-Bibiane Schönlieb
    http://arxiv.org/abs/2008.06164v1

    • [eess.IV]Weakly-supervised Learning for Single-step Quantitative Susceptibility Mapping
    Juan Liu, Kevin M Koch
    http://arxiv.org/abs/2008.06187v1

    • [math.OC]Complexity aspects of local minima and related notions
    Amir Ali Ahmadi, Jeffrey Zhang
    http://arxiv.org/abs/2008.06148v1

    • [math.PR]Characterizing the Zeta Distribution via Continuous Mixtures
    Jiansheng Dai, Ziheng Huang, Michael R. Powers
    http://arxiv.org/abs/2008.06200v1

    • [math.ST]Calibrating the scan statistic: finite sample performance vs. asymptotics
    Guenther Walther, Andrew Perry
    http://arxiv.org/abs/2008.06136v1

    • [math.ST]Uniqueness and global optimality of the maximum likelihood estimator for the generalized extreme value distribution
    Likun Zhang, Benjamin Shaby
    http://arxiv.org/abs/2008.06400v1

    • [physics.ao-ph]A Deep Convolutional Neural Network Model for improving WRF Forecasts
    Alqamah Sayeed, Yunsoo Choi, Jia Jung, Yannic Lops, Ebrahim Eslami, Ahmed Khan Salman
    http://arxiv.org/abs/2008.06489v1

    • [q-bio.PE]A Spatial Stochastic SIR Model for Transmission Networks with Application to COVID-19 Epidemic in China
    Tatsushi Oka, Wei Wei, Dan Zhu
    http://arxiv.org/abs/2008.06051v1

    • [q-fin.ST]Neural Network-based Automatic Factor Construction
    Jie Fang, Jianwu Lin, Shutao Xia, Yong Jiang, Zhikang Xia, Xiang Liu
    http://arxiv.org/abs/2008.06225v1

    • [quant-ph]Statistical Aspects of the Quantum Supremacy Demonstration
    Yosef Rinott, Tomer Shoham, Gil Kalai
    http://arxiv.org/abs/2008.05177v2

    • [stat.AP]Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects
    Yanyi Song, Xiang Zhou, Jian Kang, Max T. Aung, Min Zhang, Wei Zhao, Belinda L. Needham, Sharon L. R. Kardia, Yongmei Liu, John D. Meeker, Jennifer A. Smith, Bhramar Mukherjee
    http://arxiv.org/abs/2008.06366v1

    • [stat.AP]On the correlation analysis of illiquid stocks
    Hamdi Raïssi
    http://arxiv.org/abs/2008.06168v1

    • [stat.AP]Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans
    Cory McCartan, Kosuke Imai
    http://arxiv.org/abs/2008.06131v1

    • [stat.ME]A Maximin $Φ_{p}$-Efficient Design for Multivariate GLM
    Yiou Li, Lulu Kang, Xinwei Deng
    http://arxiv.org/abs/2008.06475v1

    • [stat.ME]An estimator for predictive regression: reliable inference for financial economics
    Neil Shephard
    http://arxiv.org/abs/2008.06130v1

    • [stat.ME]Bayesian Quantile Matching Estimation
    Rajbir-Singh Nirwan, Nils Bertschinger
    http://arxiv.org/abs/2008.06423v1

    • [stat.ME]Bayesian joint inference for multiple directed acyclic graphs
    Kyoungjae Lee, Xuan Cao
    http://arxiv.org/abs/2008.06190v1

    • [stat.ME]Bayesian model selection in additive partial linear models via locally adaptive splines
    Seonghyun Jeong, Taeyoung Park, David A. van Dyk
    http://arxiv.org/abs/2008.06213v1

    • [stat.ME]Bounding the local average treatment effect in an instrumental variable analysis of engagement with a mobile intervention
    Andrew J. Spieker, Robert A. Greevy, Lyndsay A. Nelson, Lindsay S. Mayberry
    http://arxiv.org/abs/2008.06473v1

    • [stat.ME]Deconfounding and Causal Regularization for Stability and External Validity
    Peter Bühlmann, Domagoj Ćevid
    http://arxiv.org/abs/2008.06234v1

    • [stat.ME]Graphical tests of independence for general distributions
    Jiří Dvořák, Tomáš Mrkvička
    http://arxiv.org/abs/2008.06327v1

    • [stat.ME]Optimal Design for A/B Testing in the Presence of Covariates and Network Connection
    Qiong Zhang, Lulu Kang
    http://arxiv.org/abs/2008.06476v1

    • [stat.ME]Semiparametric Estimation and Inference on Structural Target Functions using Machine Learning and Influence Functions
    Alicia Curth, Ahmed M. Alaa, Mihaela van der Schaar
    http://arxiv.org/abs/2008.06461v1

    • [stat.ML]Efficient hyperparameter optimization by way of PAC-Bayes bound minimization
    John J. Cherian, Andrew G. Taube, Robert T. McGibbon, Panagiotis Angelikopoulos, Guy Blanc, Michael Snarski, Daniel D. Richman, John L. Klepeis, David E. Shaw
    http://arxiv.org/abs/2008.06431v1

    • [stat.ML]Feature Selection Methods for Cost-Constrained Classification in Random Forests
    Rudolf Jagdhuber, Michel Lang, Jörg Rahnenführer
    http://arxiv.org/abs/2008.06298v1

    • [stat.ML]Provable More Data Hurt in High Dimensional Least Squares Estimator
    Zeng Li, Chuanlong Xie, Qinwen Wang
    http://arxiv.org/abs/2008.06296v1

    • [stat.ML]Synthesizing Property & Casualty Ratemaking Datasets using Generative Adversarial Networks
    Marie-Pier Cote, Brian Hartman, Olivier Mercier, Joshua Meyers, Jared Cummings, Elijah Harmon
    http://arxiv.org/abs/2008.06110v1

    • [stat.ML]The Projected Belief Network Classfier : both Generative and Discriminative
    Paul M Baggenstoss
    http://arxiv.org/abs/2008.06434v1