cs.AI - 人工智能

    cs.CG - 计算几何学 cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 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.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.TH - 理论经济学 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.NC - 神经元与认知 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]Improving Multi-Agent Cooperation using Theory of Mind
    • [cs.AI]The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies
    • [cs.CG]Improved Time Warp Edit Distance — A Parallel Dynamic Program in Linear Memory
    • [cs.CL]An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification
    • [cs.CL]COVID-19 therapy target discovery with context-aware literature mining
    • [cs.CL]Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
    • [cs.CL]Evaluating Automatically Generated Phoneme Captions for Images
    • [cs.CL]Improving NER’s Performance with Massive financial corpus
    • [cs.CL]Neural Language Generation: Formulation, Methods, and Evaluation
    • [cs.CL]On Learning Universal Representations Across Languages
    • [cs.CL]Paying Per-label Attention for Multi-label Extraction from Radiology Reports
    • [cs.CL]Robust Benchmarking for Machine Learning of Clinical Entity Extraction
    • [cs.CL]SimulEval: An Evaluation Toolkit for Simultaneous Translation
    • [cs.CL]The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect Identification
    • [cs.CV]Adversarial Bipartite Graph Learning for Video Domain Adaptation
    • [cs.CV]Curriculum learning for annotation-efficient medical image analysis: scheduling data with prior knowledge and uncertainty
    • [cs.CV]Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
    • [cs.CV]DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching
    • [cs.CV]ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation
    • [cs.CV]Exploring Image Enhancement for Salient Object Detection in Low Light Images
    • [cs.CV]Feature Learning for Accelerometer based Gait Recognition
    • [cs.CV]Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision
    • [cs.CV]Neural Architecture Search as Sparse Supernet
    • [cs.CV]Neural Style Transfer for Remote Sensing
    • [cs.CV]Object Detection and Tracking Algorithms for Vehicle Counting: A Comparative Analysis
    • [cs.CV]Palm Vein Identification based on hybrid features selection model
    • [cs.CV]Physical Adversarial Attack on Vehicle Detector in the Carla Simulator
    • [cs.CV]Resist : Reconstruction of irises from templates
    • [cs.CV]Rethinking PointNet Embedding for Faster and Compact Model
    • [cs.CV]Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks
    • [cs.CV]Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
    • [cs.CV]Self-supervised learning through the eyes of a child
    • [cs.CV]Traffic Control Gesture Recognition for Autonomous Vehicles
    • [cs.CY]Seating preference analysis for hybrid workplaces
    • [cs.DC]The Impact of Distance on Performance and Scalability of Distributed Database Systems in Hybrid Clouds
    • [cs.DS]Distribution-Free Models of Social Networks
    • [cs.DS]Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization
    • [cs.HC]OREBA: A Dataset for Objectively Recognizing Eating Behaviour and Associated Intake
    • [cs.HC]Patterns of Patient and Caregiver Mutual Support Connections in an Online Health Community
    • [cs.IR]COLD: Towards the Next Generation of Pre-Ranking System
    • [cs.IR]Embedding Ranking-Oriented Recommender System Graphs
    • [cs.IT]A Second-Order Converse Bound for the Multiple-Access Channel via Wringing Dependence
    • [cs.IT]Compression and Symmetry of Small-World Graphs and Structures
    • [cs.IT]Minimum Feedback for Collision-Free Scheduling in Massive Random Access
    • [cs.IT]PR-NN: RNN-based Detection for Coded Partial-Response Channels
    • [cs.IT]Quasi-Cyclic Codes
    • [cs.IT]Turbo Coded Single User Massive MIMO with Precoding
    • [cs.LG]A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions
    • [cs.LG]A Survey on Concept Factorization: From Shallow to Deep Representation Learning
    • [cs.LG]An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks
    • [cs.LG]Denoising individual bias for a fairer binary submatrix detection
    • [cs.LG]Diet deep generative audio models with structured lottery
    • [cs.LG]Finite Versus Infinite Neural Networks: an Empirical Study
    • [cs.LG]Geometric All-Way Boolean Tensor Decomposition
    • [cs.LG]Graph signal processing for machine learning: A review and new perspectives
    • [cs.LG]HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization
    • [cs.LG]Language Modelling for Source Code with Transformer-XL
    • [cs.LG]Learning Forward Reuse Distance
    • [cs.LG]Learning-based Computer-aided Prescription Model for Parkinson’s Disease: A Data-driven Perspective
    • [cs.LG]Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
    • [cs.LG]TEAM: We Need More Powerful Adversarial Examples for DNNs
    • [cs.LG]The Kolmogorov-Arnold representation theorem revisited
    • [cs.LG]Towards Deep Robot Learning with Optimizer applicable to Non-stationary Problems
    • [cs.LG]Ultra-light deep MIR by trimming lottery tickets
    • [cs.LG]node2coords: Graph Representation Learning with Wasserstein Barycenters
    • [cs.RO]A Unified NMPC Scheme for MAVs Navigation with 3D Collision Avoidance under Position Uncertainty
    • [cs.RO]Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network
    • [cs.RO]Curating Long-term Vector Maps
    • [cs.RO]Estimating Motion Codes from Demonstration Videos
    • [cs.RO]Hearing What You Cannot See: Acoustic Detection Around Corners
    • [cs.RO]Imitative Planning using Conditional Normalizing Flow
    • [cs.RO]LAVAPilot: Lightweight UAV Trajectory Planner with Situational Awareness for Embedded Autonomy to Track and Locate Radio-tags
    • [cs.RO]Laser2Vec: Similarity-based Retrieval for Robotic Perception Data
    • [cs.RO]MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments
    • [cs.RO]Near-Optimal Reactive Synthesis Incorporating Runtime Information
    • [cs.RO]RoboTed: a case study in Ethical Risk Assessment
    • [cs.SE]Genetic Improvement @ ICSE 2020
    • [cs.SI]A Consensus Protocol for e-Democracy
    • [cs.SI]G-CREWE: Graph CompREssion With Embedding for Network Alignment
    • [cs.SI]Indian Political Twitter and Caste Discrimination — How Representation Does Not Equal Inclusion in Lok Sabha Networks
    • [cs.SI]Representation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs
    • [econ.TH]Lookahead and Hybrid Sample Allocation Procedures for Multiple Attribute Selection Decisions
    • [eess.AS]A Pyramid Recurrent Network for Predicting Crowdsourced Speech-Quality Ratings of Real-World Signals
    • [eess.AS]Utterance-Wise Meeting Transcription System Using Asynchronous Distributed Microphones
    • [eess.IV]A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification
    • [eess.IV]Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network
    • [eess.IV]L$^2$C — Learning to Learn to Compress
    • [eess.IV]Residual-CycleGAN based Camera Adaptation for Robust Diabetic Retinopathy Screening
    • [eess.IV]Robust Retinal Vessel Segmentation from a Data Augmentation Perspective
    • [eess.SP]Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers
    • [eess.SP]Joint DOD and DOA Estimation in Slow-Time MIMO Radar via PARAFAC Decomposition
    • [eess.SP]Predictability and Fairness in Social Sensing
    • [math.OC]Two-Timescale Stochastic Gradient Descent in Continuous Time with Applications to Joint Online Parameter Estimation and Optimal Sensor Placement
    • [math.ST]On regularization methods based on Rényi’s pseudodistances for sparse high-dimensional linear regression models
    • [math.ST]Regression modelling with I-priors
    • [math.ST]Slightly Conservative Bootstrap for Maxima of Sums
    • [math.ST]Statistical guarantees for Bayesian uncertainty quantification in non-linear inverse problems with Gaussian process priors
    • [physics.soc-ph]Network connectivity optimization: An evaluation of heuristics applied to complex networks and a transportation case study
    • [physics.soc-ph]On Single Point Forecasts for Fat-Tailed Variables
    • [q-bio.NC]A Compositional Model of Consciousness based on Consciousness-Only
    • [quant-ph]Quantum One-class Classification With a Distance-based Classifier
    • [stat.AP]Bayesian Approaches for Flexible and Informative Clustering of Microbiome Data
    • [stat.AP]Causal inference methods for small non-randomized studies: Methods and an application in COVID-19
    • [stat.AP]Copas’ method is sensitive to different mechanisms of publication bias
    • [stat.AP]Gibbsian T-tessellation model for agricultural landscape characterization
    • [stat.AP]Regional now- and forecasting for data reported with delay: A case study in COVID-19 infections
    • [stat.AP]Sequential Drift Detection in Deep Learning Classifiers
    • [stat.CO]A Note on Particle Gibbs Method and its Extensions and Variants
    • [stat.ME]Analyzing Cause-Specific Mortality Trends using Compositional Functional Data Analysis
    • [stat.ME]Decomposition of the Total Effect for Two Mediators: A Natural Counterfactual Interaction Effect Framework
    • [stat.ME]Enhancing single-arm phase II trials by inclusion of matched control patients
    • [stat.ME]Localization processes for functional data analysis
    • [stat.ME]Nonparametric comparison of epidemic time trends: the case of COVID-19
    • [stat.ME]Performance of Multi-group DIF Methods in Assessing Cross-Country Score Comparability of International Large-Scale Assessments
    • [stat.ME]Variational approximations of empirical Bayes posteriors in high-dimensional linear models
    • [stat.ML]Deep Direct Likelihood Knockoffs
    • [stat.ML]Low-rank Tensor Bandits
    • [stat.ML]Predicting heave and surge motions of a semi-submersible with neural networks
    • [stat.ML]Random Vector Functional Link Networks for Function Approximation on Manifolds
    • [stat.ML]Ultrahigh dimensional instrument detection using graph learning: an application to high dimensional GIS-census data for house pricing
    • [stat.ML]Uncovering the structure of clinical EEG signals with self-supervised learning

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    • [cs.AI]Improving Multi-Agent Cooperation using Theory of Mind
    Terence X. Lim, Sidney Tio, Desmond C. Ong
    http://arxiv.org/abs/2007.15703v1

    • [cs.AI]The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies
    Aniek F. Markus, Jan A. Kors, Peter R. Rijnbeek
    http://arxiv.org/abs/2007.15911v1

    • [cs.CG]Improved Time Warp Edit Distance — A Parallel Dynamic Program in Linear Memory
    Garrett Wright
    http://arxiv.org/abs/2007.16135v1

    • [cs.CL]An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification
    Cristina Garbacea, Mengtian Guo, Samuel Carton, Qiaozhu Mei
    http://arxiv.org/abs/2007.15823v1

    • [cs.CL]COVID-19 therapy target discovery with context-aware literature mining
    Matej Martinc, Blaž Škrlj, Sergej Pirkmajer, Nada Lavrač, Bojan Cestnik, Martin Marzidovšek, Senja Pollak
    http://arxiv.org/abs/2007.15681v1

    • [cs.CL]Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
    Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
    http://arxiv.org/abs/2007.15779v1

    • [cs.CL]Evaluating Automatically Generated Phoneme Captions for Images
    Justin van der Hout, Zoltán D’Haese, Mark Hasegawa-Johnson, Odette Scharenborg
    http://arxiv.org/abs/2007.15916v1

    • [cs.CL]Improving NER’s Performance with Massive financial corpus
    Han Zhang
    http://arxiv.org/abs/2007.15871v1

    • [cs.CL]Neural Language Generation: Formulation, Methods, and Evaluation
    Cristina Garbacea, Qiaozhu Mei
    http://arxiv.org/abs/2007.15780v1

    • [cs.CL]On Learning Universal Representations Across Languages
    Xiangpeng Wei, Yue Hu, Rongxiang Weng, Luxi Xing, Heng Yu, Weihua Luo
    http://arxiv.org/abs/2007.15960v1

    • [cs.CL]Paying Per-label Attention for Multi-label Extraction from Radiology Reports
    Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matúš Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O’Neil
    http://arxiv.org/abs/2007.16152v1

    • [cs.CL]Robust Benchmarking for Machine Learning of Clinical Entity Extraction
    Monica Agrawal, Chloe O’Connell, Yasmin Fatemi, Ariel Levy, David Sontag
    http://arxiv.org/abs/2007.16127v1

    • [cs.CL]SimulEval: An Evaluation Toolkit for Simultaneous Translation
    Xutai Ma, Mohammad Javad Dousti, Changhan Wang, Jiatao Gu, Juan Pino
    http://arxiv.org/abs/2007.16193v1

    • [cs.CL]The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect Identification
    Mihaela Găman, Radu Tudor Ionescu
    http://arxiv.org/abs/2007.15700v1

    • [cs.CV]Adversarial Bipartite Graph Learning for Video Domain Adaptation
    Yadan Luo, Zi Huang, Zijian Wang, Zheng Zhang, Mahsa Baktashmotlagh
    http://arxiv.org/abs/2007.15829v1

    • [cs.CV]Curriculum learning for annotation-efficient medical image analysis: scheduling data with prior knowledge and uncertainty
    Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel A. González Ballester, Gemma Piella
    http://arxiv.org/abs/2007.16102v1

    • [cs.CV]Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
    Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander
    http://arxiv.org/abs/2007.15963v1

    • [cs.CV]DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching
    Patrick Ruhkamp, Ruiqi Gong, Nassir Navab, Benjamin Busam
    http://arxiv.org/abs/2007.16005v1

    • [cs.CV]ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation
    Xucong Zhang, Seonwook Park, Thabo Beeler, Derek Bradley, Siyu Tang, Otmar Hilliges
    http://arxiv.org/abs/2007.15837v1

    • [cs.CV]Exploring Image Enhancement for Salient Object Detection in Low Light Images
    Xin Xu, Shiqin Wang, Zheng Wang, Xiaolong Zhang, Ruimin Hu
    http://arxiv.org/abs/2007.16124v1

    • [cs.CV]Feature Learning for Accelerometer based Gait Recognition
    Szilárd Nemes, Margit Antal
    http://arxiv.org/abs/2007.15958v1

    • [cs.CV]Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision
    Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun
    http://arxiv.org/abs/2007.15857v1

    • [cs.CV]Neural Architecture Search as Sparse Supernet
    Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool
    http://arxiv.org/abs/2007.16112v1

    • [cs.CV]Neural Style Transfer for Remote Sensing
    Maria Karatzoglidi, Georgios Felekis, Eleni Charou
    http://arxiv.org/abs/2007.15920v1

    • [cs.CV]Object Detection and Tracking Algorithms for Vehicle Counting: A Comparative Analysis
    Vishal Mandal, Yaw Adu-Gyamfi
    http://arxiv.org/abs/2007.16198v1

    • [cs.CV]Palm Vein Identification based on hybrid features selection model
    Mohammed Hamzah Abed, Ali H. Alsaeedi, Ali D. Alfoudi, Abayomi M. Otebolaku, Yasmeen Sajid Razooqi
    http://arxiv.org/abs/2007.16195v1

    • [cs.CV]Physical Adversarial Attack on Vehicle Detector in the Carla Simulator
    Tong Wu, Xuefei Ning, Wenshuo Li, Ranran Huang, Huazhong Yang, Yu Wang
    http://arxiv.org/abs/2007.16118v1

    • [cs.CV]Resist : Reconstruction of irises from templates
    Sohaib Ahmad, Benjamin Fuller
    http://arxiv.org/abs/2007.15850v1

    • [cs.CV]Rethinking PointNet Embedding for Faster and Compact Model
    Teppei Suzuki, Keisuke Ozawa, Yusuke Sekikawa
    http://arxiv.org/abs/2007.15855v1

    • [cs.CV]Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks
    Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee
    http://arxiv.org/abs/2007.15861v1

    • [cs.CV]Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
    Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han
    http://arxiv.org/abs/2007.16100v1

    • [cs.CV]Self-supervised learning through the eyes of a child
    A. Emin Orhan, Vaibhav V. Gupta, Brenden M. Lake
    http://arxiv.org/abs/2007.16189v1

    • [cs.CV]Traffic Control Gesture Recognition for Autonomous Vehicles
    Julian Wiederer, Arij Bouazizi, Ulrich Kressel, Vasileios Belagiannis
    http://arxiv.org/abs/2007.16072v1

    • [cs.CY]Seating preference analysis for hybrid workplaces
    Mohammad Saiedur Rahaman, Shaw Kudo, Tim Rawling, Yongli Ren, Flora D. Salim
    http://arxiv.org/abs/2007.15807v1

    • [cs.DC]The Impact of Distance on Performance and Scalability of Distributed Database Systems in Hybrid Clouds
    Yaser Mansouri, M. Ali Babar
    http://arxiv.org/abs/2007.15826v1

    • [cs.DS]Distribution-Free Models of Social Networks
    Tim Roughgarden, C. Seshadhri
    http://arxiv.org/abs/2007.15743v1

    • [cs.DS]Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization
    Samuel B. Hopkins, Jerry Li, Fred Zhang
    http://arxiv.org/abs/2007.15839v1

    • [cs.HC]OREBA: A Dataset for Objectively Recognizing Eating Behaviour and Associated Intake
    Philipp V. Rouast, Hamid Heydarian, Marc T. P. Adam, Megan E. Rollo
    http://arxiv.org/abs/2007.15831v1

    • [cs.HC]Patterns of Patient and Caregiver Mutual Support Connections in an Online Health Community
    Zachary Levonian, Marco Dow, Drew Erikson, Sourojit Ghosh, Hannah Miller Hillberg, Saumik Narayanan, Loren Terveen, Svetlana Yarosh
    http://arxiv.org/abs/2007.16172v1

    • [cs.IR]COLD: Towards the Next Generation of Pre-Ranking System
    Zhe Wang, Liqin Zhao, Biye Jiang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai
    http://arxiv.org/abs/2007.16122v1

    • [cs.IR]Embedding Ranking-Oriented Recommender System Graphs
    Taher Hekmatfar, Saman Haratizadeh, Sama Goliaei
    http://arxiv.org/abs/2007.16173v1

    • [cs.IT]A Second-Order Converse Bound for the Multiple-Access Channel via Wringing Dependence
    Oliver Kosut
    http://arxiv.org/abs/2007.15664v1

    • [cs.IT]Compression and Symmetry of Small-World Graphs and Structures
    Ioannis Kontoyiannis, Yi Heng Lim, Katia Papakonstantinopoulou, Wojtek Szpankowski
    http://arxiv.org/abs/2007.15981v1

    • [cs.IT]Minimum Feedback for Collision-Free Scheduling in Massive Random Access
    Justin Singh Kang, Wei Yu
    http://arxiv.org/abs/2007.15497v2

    • [cs.IT]PR-NN: RNN-based Detection for Coded Partial-Response Channels
    Simeng Zheng, Yi Liu, Paul H. Siegel
    http://arxiv.org/abs/2007.15695v1

    • [cs.IT]Quasi-Cyclic Codes
    Cem Güneri, San Ling, Buket Özkaya
    http://arxiv.org/abs/2007.16029v1

    • [cs.IT]Turbo Coded Single User Massive MIMO with Precoding
    K. Vasudevan, Gyanesh Kumar Pathak, A. Phani Kumar Reddy
    http://arxiv.org/abs/2007.15959v1

    • [cs.LG]A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions
    Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Carlos A. Jaramillo
    http://arxiv.org/abs/2007.15847v1

    • [cs.LG]A Survey on Concept Factorization: From Shallow to Deep Representation Learning
    Zhao Zhang, Yan Zhang, Li Zhang, Shuicheng Yan
    http://arxiv.org/abs/2007.15840v1

    • [cs.LG]An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks
    Brian Kenji Iwana, Seiichi Uchida
    http://arxiv.org/abs/2007.15951v1

    • [cs.LG]Denoising individual bias for a fairer binary submatrix detection
    Changlin Wan, Wennan Chang, Tong Zhao, Yong Zang, Sha Cao, Chi Zhang
    http://arxiv.org/abs/2007.15816v1

    • [cs.LG]Diet deep generative audio models with structured lottery
    Philippe Esling, Ninon Devis, Adrien Bitton, Antoine Caillon, Axel Chemla—Romeu-Santos, Constance Douwes
    http://arxiv.org/abs/2007.16170v1

    • [cs.LG]Finite Versus Infinite Neural Networks: an Empirical Study
    Jaehoon Lee, Samuel S. Schoenholz, Jeffrey Pennington, Ben Adlam, Lechao Xiao, Roman Novak, Jascha Sohl-Dickstein
    http://arxiv.org/abs/2007.15801v1

    • [cs.LG]Geometric All-Way Boolean Tensor Decomposition
    Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang
    http://arxiv.org/abs/2007.15821v1

    • [cs.LG]Graph signal processing for machine learning: A review and new perspectives
    Xiaowen Dong, Dorina Thanou, Laura Toni, Michael Bronstein, Pascal Frossard
    http://arxiv.org/abs/2007.16061v1

    • [cs.LG]HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization
    Vasco Lopes, Luís A. Alexandre
    http://arxiv.org/abs/2007.16149v1

    • [cs.LG]Language Modelling for Source Code with Transformer-XL
    Thomas Dowdell, Hongyu Zhang
    http://arxiv.org/abs/2007.15813v1

    • [cs.LG]Learning Forward Reuse Distance
    Pengcheng Li, Yongbin Gu
    http://arxiv.org/abs/2007.15859v1

    • [cs.LG]Learning-based Computer-aided Prescription Model for Parkinson’s Disease: A Data-driven Perspective
    Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen
    http://arxiv.org/abs/2007.16103v1

    • [cs.LG]Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
    Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang
    http://arxiv.org/abs/2007.15802v1

    • [cs.LG]TEAM: We Need More Powerful Adversarial Examples for DNNs
    Yaguan Qian, Ximin Zhang, Bin Wang, Wei Li, Zhaoquan Gu, Haijiang Wang, Wassim Swaileh
    http://arxiv.org/abs/2007.15836v1

    • [cs.LG]The Kolmogorov-Arnold representation theorem revisited
    Johannes Schmidt-Hieber
    http://arxiv.org/abs/2007.15884v1

    • [cs.LG]Towards Deep Robot Learning with Optimizer applicable to Non-stationary Problems
    Taisuke Kobayashi
    http://arxiv.org/abs/2007.15890v1

    • [cs.LG]Ultra-light deep MIR by trimming lottery tickets
    Philippe Esling, Theis Bazin, Adrien Bitton, Tristan Carsault, Ninon Devis
    http://arxiv.org/abs/2007.16187v1

    • [cs.LG]node2coords: Graph Representation Learning with Wasserstein Barycenters
    Effrosyni Simou, Dorina Thanou, Pascal Frossard
    http://arxiv.org/abs/2007.16056v1

    • [cs.RO]A Unified NMPC Scheme for MAVs Navigation with 3D Collision Avoidance under Position Uncertainty
    Sina Sharif Mansouri, Christoforos Kanellakis, Bjorn Lindqvist, Farhad Pourkamali-Anaraki, Ali-akbar Agha-mohammadi, Joel Burdick, George Nikolakopoulos
    http://arxiv.org/abs/2007.15879v1

    • [cs.RO]Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network
    Anh Nguyen, Ngoc Nguyen, Kim Tran, Erman Tjiputra, Quang D. Tran
    http://arxiv.org/abs/2007.15945v1

    • [cs.RO]Curating Long-term Vector Maps
    Samer Nashed, Joydeep Biswas
    http://arxiv.org/abs/2007.15736v1

    • [cs.RO]Estimating Motion Codes from Demonstration Videos
    Maxat Alibayev, David Paulius, Yu Sun
    http://arxiv.org/abs/2007.15841v1

    • [cs.RO]Hearing What You Cannot See: Acoustic Detection Around Corners
    Yannick Schulz, Avinash Kini Mattar, Thomas M. Hehn, Julian F. P. Kooij
    http://arxiv.org/abs/2007.15739v1

    • [cs.RO]Imitative Planning using Conditional Normalizing Flow
    Shubhankar Agarwal, Harshit Sikchi, Cole Gulino, Eric Wilkinson
    http://arxiv.org/abs/2007.16162v1

    • [cs.RO]LAVAPilot: Lightweight UAV Trajectory Planner with Situational Awareness for Embedded Autonomy to Track and Locate Radio-tags
    Hoa Van Nguyen, Fei Chen, Joshua Chesser, Hamid Rezatofighi, Damith Ranasinghe
    http://arxiv.org/abs/2007.15860v1

    • [cs.RO]Laser2Vec: Similarity-based Retrieval for Robotic Perception Data
    Samer B. Nashed
    http://arxiv.org/abs/2007.15746v1

    • [cs.RO]MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments
    Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao
    http://arxiv.org/abs/2007.15724v1

    • [cs.RO]Near-Optimal Reactive Synthesis Incorporating Runtime Information
    Suda Bharadwaj, Abraham P. Vinod, Rayna Dimitrova, Ufuk Topcu
    http://arxiv.org/abs/2007.16107v1

    • [cs.RO]RoboTed: a case study in Ethical Risk Assessment
    Alan F. T. Winfield, Katie Winkle
    http://arxiv.org/abs/2007.15864v1

    • [cs.SE]Genetic Improvement @ ICSE 2020
    William B. Langdon, Westley Weimer, Justyna Petke, Erik Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael Gerten
    http://arxiv.org/abs/2007.15987v1

    • [cs.SI]A Consensus Protocol for e-Democracy
    Ouri Poupko, Nimrod Talmon
    http://arxiv.org/abs/2007.15949v1

    • [cs.SI]G-CREWE: Graph CompREssion With Embedding for Network Alignment
    Kyle K. Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra
    http://arxiv.org/abs/2007.16208v1

    • [cs.SI]Indian Political Twitter and Caste Discrimination — How Representation Does Not Equal Inclusion in Lok Sabha Networks
    Palashi Vaghela, Ramaravind Kommiya Mothilal, Joyojeet Pal
    http://arxiv.org/abs/2007.15863v1

    • [cs.SI]Representation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs
    Xing Li, Wei Wei, Xiangnan Feng, Xue Liu, Zhiming Zheng
    http://arxiv.org/abs/2007.15838v1

    • [econ.TH]Lookahead and Hybrid Sample Allocation Procedures for Multiple Attribute Selection Decisions
    Jeffrey W. Herrmann, Kunal Mehta
    http://arxiv.org/abs/2007.16119v1

    • [eess.AS]A Pyramid Recurrent Network for Predicting Crowdsourced Speech-Quality Ratings of Real-World Signals
    Xuan Dong, Donald S. Williamson
    http://arxiv.org/abs/2007.15797v1

    • [eess.AS]Utterance-Wise Meeting Transcription System Using Asynchronous Distributed Microphones
    Shota Horiguchi, Yusuke Fujita, Kenji Nagamatsu
    http://arxiv.org/abs/2007.15868v1

    • [eess.IV]A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification
    Linchuan Xu, Jun Huang, Atsushi Nitanda, Ryo Asaoka, Kenji Yamanishi
    http://arxiv.org/abs/2007.15897v1

    • [eess.IV]Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network
    Junxiong Yu, Chaoyu Chen, Xin Yang, Yi Wang, Dan Yan, Jianxing Zhang, Dong Ni
    http://arxiv.org/abs/2007.16133v1

    • [eess.IV]L$^2$C — Learning to Learn to Compress
    Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Miska Hannuksela, Emre Aksu, Esa Rahtu
    http://arxiv.org/abs/2007.16054v1

    • [eess.IV]Residual-CycleGAN based Camera Adaptation for Robust Diabetic Retinopathy Screening
    Dalu Yang, Yehui Yang, Tiantian Huang, Binghong Wu, Lei Wang, Yanwu Xu
    http://arxiv.org/abs/2007.15874v1

    • [eess.IV]Robust Retinal Vessel Segmentation from a Data Augmentation Perspective
    Xu Sun, Xingxing Cao, Yehui Yang, Lei Wang, Yanwu Xu
    http://arxiv.org/abs/2007.15883v1

    • [eess.SP]Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers
    Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus
    http://arxiv.org/abs/2007.16204v1

    • [eess.SP]Joint DOD and DOA Estimation in Slow-Time MIMO Radar via PARAFAC Decomposition
    Feng Xu, Sergiy A. Vorobyov, Xiaopeng Yang
    http://arxiv.org/abs/2007.15738v1

    • [eess.SP]Predictability and Fairness in Social Sensing
    Ramen Ghosh, Jakub Marecek, Wynita M. Griggs, Matheus Souza, Robert N. Shorten
    http://arxiv.org/abs/2007.16117v1

    • [math.OC]Two-Timescale Stochastic Gradient Descent in Continuous Time with Applications to Joint Online Parameter Estimation and Optimal Sensor Placement
    Louis Sharrock, Nikolas Kantas
    http://arxiv.org/abs/2007.15998v1

    • [math.ST]On regularization methods based on Rényi’s pseudodistances for sparse high-dimensional linear regression models
    Elena Castilla, Abhik Ghosh, María Jaenada, Leandro Pardo
    http://arxiv.org/abs/2007.15929v1

    • [math.ST]Regression modelling with I-priors
    Wicher Bergsma, Haziq Jamil
    http://arxiv.org/abs/2007.15766v1

    • [math.ST]Slightly Conservative Bootstrap for Maxima of Sums
    Hang Deng
    http://arxiv.org/abs/2007.15877v1

    • [math.ST]Statistical guarantees for Bayesian uncertainty quantification in non-linear inverse problems with Gaussian process priors
    François Monard, Richard Nickl, Gabriel P. Paternain
    http://arxiv.org/abs/2007.15892v1

    • [physics.soc-ph]Network connectivity optimization: An evaluation of heuristics applied to complex networks and a transportation case study
    Jeremy Auerbach, Hyun Kim
    http://arxiv.org/abs/2007.16150v1

    • [physics.soc-ph]On Single Point Forecasts for Fat-Tailed Variables
    Nassim Nicholas Taleb, Yaneer Bar-Yam, Pasquale Cirillo
    http://arxiv.org/abs/2007.16096v1

    • [q-bio.NC]A Compositional Model of Consciousness based on Consciousness-Only
    Camilo Miguel Signorelli, Quanlong Wang, Ilyas Khan
    http://arxiv.org/abs/2007.16138v1

    • [quant-ph]Quantum One-class Classification With a Distance-based Classifier
    Nicolas M. de Oliveira, Teresa B. Ludermir, Wilson R. de Oliveira, Adenilton J. da Silva
    http://arxiv.org/abs/2007.16200v1

    • [stat.AP]Bayesian Approaches for Flexible and Informative Clustering of Microbiome Data
    Yushu Shi, Liangliang Zhang, Kim-Anh Do, Robert Jenq, Christine Peterson
    http://arxiv.org/abs/2007.15812v1

    • [stat.AP]Causal inference methods for small non-randomized studies: Methods and an application in COVID-19
    Sarah Friedrich, Tim Friede
    http://arxiv.org/abs/2007.15991v1

    • [stat.AP]Copas’ method is sensitive to different mechanisms of publication bias
    Osama Almalik, Zhuozhao Zhan, Edwin R. van den Heuvel
    http://arxiv.org/abs/2007.15955v1

    • [stat.AP]Gibbsian T-tessellation model for agricultural landscape characterization
    Katarzyna Adamczyk-Chauvat, Mouna Kassa, Kiên Kiêu, Julien Papaïx, Radu S. Stoica
    http://arxiv.org/abs/2007.16094v1

    • [stat.AP]Regional now- and forecasting for data reported with delay: A case study in COVID-19 infections
    Giacomo De Nicola, Marc Schneble, Göran Kauermann, Ursula Berger
    http://arxiv.org/abs/2007.16058v1

    • [stat.AP]Sequential Drift Detection in Deep Learning Classifiers
    Samuel Ackerman, Parijat Dube, Eitan Farchi
    http://arxiv.org/abs/2007.16109v1

    • [stat.CO]A Note on Particle Gibbs Method and its Extensions and Variants
    Niharika Gauraha
    http://arxiv.org/abs/2007.15862v1

    • [stat.ME]Analyzing Cause-Specific Mortality Trends using Compositional Functional Data Analysis
    Marco Stefanucci, Stefano Mazzuco
    http://arxiv.org/abs/2007.15896v1

    • [stat.ME]Decomposition of the Total Effect for Two Mediators: A Natural Counterfactual Interaction Effect Framework
    Xin Gao, Li Li, Li Luo
    http://arxiv.org/abs/2007.16031v1

    • [stat.ME]Enhancing single-arm phase II trials by inclusion of matched control patients
    Johannes Krisam, Dorothea Weber, Richard F. Schlenk, Meinhard Kieser
    http://arxiv.org/abs/2007.15935v1

    • [stat.ME]Localization processes for functional data analysis
    Antonio Elías, Raúl Jiménez, Joe Yukich
    http://arxiv.org/abs/2007.16059v1

    • [stat.ME]Nonparametric comparison of epidemic time trends: the case of COVID-19
    Marina Khismatullina, Michael Vogt
    http://arxiv.org/abs/2007.15931v1

    • [stat.ME]Performance of Multi-group DIF Methods in Assessing Cross-Country Score Comparability of International Large-Scale Assessments
    Dandan Chen
    http://arxiv.org/abs/2007.15814v1

    • [stat.ME]Variational approximations of empirical Bayes posteriors in high-dimensional linear models
    Yue Yang, Ryan Martin
    http://arxiv.org/abs/2007.15930v1

    • [stat.ML]Deep Direct Likelihood Knockoffs
    Mukund Sudarshan, Wesley Tansey, Rajesh Ranganath
    http://arxiv.org/abs/2007.15835v1

    • [stat.ML]Low-rank Tensor Bandits
    Botao Hao, Jie Zhou, Zheng Wen, Will Wei Sun
    http://arxiv.org/abs/2007.15788v1

    • [stat.ML]Predicting heave and surge motions of a semi-submersible with neural networks
    Xiaoxian Guo, Xiantao Zhang, Xinliang Tian, Xin Li, Wenyue Lu
    http://arxiv.org/abs/2007.15973v1

    • [stat.ML]Random Vector Functional Link Networks for Function Approximation on Manifolds
    Deanna Needell, Aaron A. Nelson, Rayan Saab, Palina Salanevich
    http://arxiv.org/abs/2007.15776v1

    • [stat.ML]Ultrahigh dimensional instrument detection using graph learning: an application to high dimensional GIS-census data for house pricing
    Ning Xu, Timothy C. G. Fisher, Jian Hong
    http://arxiv.org/abs/2007.15769v1

    • [stat.ML]Uncovering the structure of clinical EEG signals with self-supervised learning
    Hubert Banville, Omar Chehab, Aapo Hyvärinen, Denis-Alexander Engemann, Alexandre Gramfort
    http://arxiv.org/abs/2007.16104v1