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