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.DL - 数字图书馆 cs.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 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.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.SP - 信号处理 math-ph - 数学物理 math.DS - 动力系统 math.PR - 概率 math.ST - 统计理论 physics.class-ph - 经典物理学 q-bio.GN - 基因组学 q-bio.QM - 定量方法 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]Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion
• [cs.AI]Automated acquisition of structured, semantic models of manipulation activities from human VR demonstration
• [cs.AI]Combination of interval-valued belief structures based on belief entropy
• [cs.AI]Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information
• [cs.AI]Episodic Self-Imitation Learning with Hindsight
• [cs.AI]Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers
• [cs.AI]Lower Bounds for Approximate Knowledge Compilation
• [cs.AI]Meta-learning in natural and artificial intelligence
• [cs.AI]TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game
• [cs.AI]Understand Watchdogs: Discover How Game Bot Get Discovered
• [cs.CL]A Survey of Deep Learning Approaches for OCR and Document Understanding
• [cs.CL]A question-answering system for aircraft pilots’ documentation
• [cs.CL]AutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises
• [cs.CL]Chinese Medical Question Answer Matching Based on Interactive Sentence Representation Learning
• [cs.CL]CoRe: An Efficient Coarse-refined Training Framework for BERT
• [cs.CL]Decoding and Diversity in Machine Translation
• [cs.CL]Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient
• [cs.CL]Domain Adaptative Causality Encoder
• [cs.CL]FFCI: A Framework for Interpretable Automatic Evaluation of Summarization
• [cs.CL]Joint Extraction of Entity and Relation with Information Redundancy Elimination
• [cs.CL]Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction
• [cs.CL]NLPStatTest: A Toolkit for Comparing NLP System Performance
• [cs.CL]Progressively Stacking 2.0: A Multi-stage Layerwise Training Method for BERT Training Speedup
• [cs.CL]Relation Clustering in Narrative Knowledge Graphs
• [cs.CL]TaylorGAN: Neighbor-Augmented Policy Update for Sample-Efficient Natural Language Generation
• [cs.CL]Text Analytics for Resilience-Enabled Extreme EventsReconnaissance
• [cs.CL]Towards Interpretable Multilingual Detection of Hate Speech against Immigrants and Women in Twitter at SemEval-2019 Task 5
• [cs.CL]Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking
• [cs.CL]Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training
• [cs.CR]Recent Advances in Selective Image Encryption and its Indispensability due to COVID-19
• [cs.CV]3D Invisible Cloak
• [cs.CV]A Sheaf and Topology Approach to Generating Local Branch Numbers in Digital Images
• [cs.CV]Association: Remind Your GAN not to Forget
• [cs.CV]Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence
• [cs.CV]Deinterlacing Network for Early Interlaced Videos
• [cs.CV]Descriptor-Free Multi-View Region Matching for Instance-Wise 3D Reconstruction
• [cs.CV]Efficient Scene Compression for Visual-based Localization
• [cs.CV]Enhancing Diversity in Teacher-Student Networks via Asymmetric branches for Unsupervised Person Re-identification
• [cs.CV]Field of Junctions
• [cs.CV]Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving
• [cs.CV]Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints
• [cs.CV]Image Generators with Conditionally-Independent Pixel Synthesis
• [cs.CV]Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling
• [cs.CV]Lightweight U-Net for High-Resolution Breast Imaging
• [cs.CV]MEBOW: Monocular Estimation of Body Orientation In the Wild
• [cs.CV]Manipulating Medical Image Translation with Manifold Disentanglement
• [cs.CV]Multi-objective Neural Architecture Search with Almost No Training
• [cs.CV]Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning
• [cs.CV]Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
• [cs.CV]PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers
• [cs.CV]Patch-VQ: ‘Patching Up’ the Video Quality Problem
• [cs.CV]Point and Ask: Incorporating Pointing into Visual Question Answering
• [cs.CV]Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion
• [cs.CV]Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery
• [cs.CV]Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles
• [cs.CV]Robust Attacks on Deep Learning Face Recognition in the Physical World
• [cs.CV]Robust and Natural Physical Adversarial Examples for Object Detectors
• [cs.CV]SFTrack++: A Fast Learnable Spectral Segmentation Approach for Space-Time Consistent Tracking
• [cs.CV]Self-EMD: Self-Supervised Object Detection without ImageNet
• [cs.CV]SocialGuard: An Adversarial Example Based Privacy-Preserving Technique for Social Images
• [cs.CV]Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition
• [cs.CV]Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds
• [cs.CV]Task Programming: Learning Data Efficient Behavior Representations
• [cs.CV]Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving
• [cs.CV]The NEOLIX Open Dataset for AutonomousDriving
• [cs.CV]Towards real-time object recognition and pose estimation in point clouds
• [cs.CV]Tractable loss function and color image generation of multinary restricted Boltzmann machine
• [cs.CV]Unsupervised part representation by Flow Capsules
• [cs.CY]A methodology for co-constructing an interdisciplinary model: from model to survey, from survey to model
• [cs.CY]An Ethical Highlighter for People-Centric Dataset Creation
• [cs.CY]Anticipatory Ethics and the Role of Uncertainty
• [cs.CY]Contribution of Conceptual Modeling to Enhancing Historians’ Intuition -Application to Prosopography
• [cs.CY]Creating and Maintaining Filipino and Japanese Students Social Capital with Facebook
• [cs.CY]Interpretable Poverty Mapping using Social Media Data, Satellite Images, and Geospatial Information
• [cs.CY]Nose to Glass: Looking In to Get Beyond
• [cs.CY]Overcoming Failures of Imagination in AI Infused System Development and Deployment
• [cs.DC]Distributed joint dynamic maintenance and production scheduling in manufacturing systems: Framework based on model predictive control and Benders decomposition
• [cs.DC]Enabling GPU Accelerated Computing in the SUNDIALS Time Integration Library
• [cs.DC]High-Throughput Parallel Viterbi Decoder on GPU Tensor Cores
• [cs.DC]Introducing the Task-Aware Storage I/O (TASIO) Library
• [cs.DC]Logical Obstruction to Set Agreement Tasks for Superset-Closed Adversaries
• [cs.DC]MIMOS: A Deterministic Model for the Design and Update of Real-Time Systems
• [cs.DL]A Computational Approach to Historical Ontologies
• [cs.DL]Patterns of retractions from 1981-2020 : Does a fraud lead to another fraud?
• [cs.ET]A Survey on Modulation Techniques in Molecular Communication via Diffusion
• [cs.HC]Human Computations in Citizen Crowds: A Knowledge Management Solution Framework
• [cs.IR]A Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems
• [cs.IR]Denmark’s Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19
• [cs.IT]A Construction of Maximally Recoverable Codes with Order-Optimal Field Size
• [cs.IT]A Galois Connection Approach to Wei-Type Duality Theorems
• [cs.IT]Beamforming Design for Multiuser uRLLC with Finite Blocklength Transmission
• [cs.IT]Generalized Mutual Information-Maximizing Quantized Decoding of LDPC Codes
• [cs.IT]Joint Channel Estimation and Signal Recovery in RIS-Assisted Multi-User MISO Communications
• [cs.IT]Low-Complexity Frequency Domain Equalization over Fast Fading Channels
• [cs.IT]Pruning and Quantizing Neural Belief Propagation Decoders
• [cs.IT]Reconfigurable Intelligent Surface (RIS) Aided Multi-User Networks: Interplay Between NOMA and RIS
• [cs.LG]A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks
• [cs.LG]A study of traits that affect learnability in GANs
• [cs.LG]A survey of benchmarking frameworks for reinforcement learning
• [cs.LG]Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning
• [cs.LG]Better Knowledge Retention through Metric Learning
• [cs.LG]CASTELO: Clustered Atom Subtypes aidEd Lead Optimization — a combined machine learning and molecular modeling method
• [cs.LG]Deep Reinforcement Learning for Wireless Scheduling with Multiclass Services
• [cs.LG]Detection of Malaria Vector Breeding Habitats using Topographic Models
• [cs.LG]Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning
• [cs.LG]Eigenvalue-corrected Natural Gradient Based on a New Approximation
• [cs.LG]Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank
• [cs.LG]Improving Layer-wise Adaptive Rate Methods using Trust Ratio Clipping
• [cs.LG]Machine learning for risk analysis of Urinary Tract Infection in people with dementia
• [cs.LG]Mixed Membership Graph Clustering via Systematic Edge Query
• [cs.LG]Navigating the GAN Parameter Space for Semantic Image Editing
• [cs.LG]Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation
• [cs.LG]Offline Learning from Demonstrations and Unlabeled Experience
• [cs.LG]Physics-Informed Neural Network for Modelling the Thermochemical Curing Process of Composite-Tool Systems During Manufacture
• [cs.LG]Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling
• [cs.LG]Predictive Collision Management for Time and Risk Dependent Path Planning
• [cs.LG]Randomized Transferable Machine
• [cs.LG]Reinforcement Learning-based Joint Path and Energy Optimization of Cellular-Connected Unmanned Aerial Vehicles
• [cs.LG]Rethinking Generalization in American Sign Language Prediction for Edge Devices with Extremely Low Memory Footprint
• [cs.LG]Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness
• [cs.LG]Score-Based Generative Modeling through Stochastic Differential Equations
• [cs.LG]Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning
• [cs.LG]Skill Transfer via Partially Amortized Hierarchical Planning
• [cs.LG]Spectral Analysis and Stability of Deep Neural Dynamics
• [cs.LG]They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning
• [cs.LG]Tight Hardness Results for Training Depth-2 ReLU Networks
• [cs.LG]Unsupervised learning for economic risk evaluation in the context of Covid-19 pandemic
• [cs.NE]A Temporal Neural Network Architecture for Online Learning
• [cs.NE]Physics-Informed Neural State Space Models via Learning and Evolution
• [cs.NE]Representation of 2D frame less visual space as a neural manifold and its information geometric interpretation
• [cs.NI]Eco-Routing Using Open Street Maps
• [cs.RO]A Hybrid Biped Stabilizer System Based on Analytical Control and Learning of Symmetrical Residual Physics
• [cs.RO]A Mixed Integer Linear Program For Human And Material Resources Optimization In Emergency Department
• [cs.RO]An open-ended learning architecture to face the REAL 2020 simulated robot competition
• [cs.RO]Autonomous learning of multiple, context-dependent tasks
• [cs.RO]Convolutional Neural Networks Towards Arduino Navigation of Indoor Environments
• [cs.RO]Human-in-the-loop Cueing Strategy for Gait Rehabilitation
• [cs.RO]Learning from Simulation, Racing in Reality
• [cs.RO]Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
• [cs.RO]ROS Based Visual Programming Tool for Mobile Robot Education and Applications
• [cs.RO]Real-time Active Vision for a Humanoid Soccer Robot Using Deep Reinforcement Learning
• [cs.RO]Robust Autonomous Landing of UAV in Non-Cooperative Environments based on Dynamic Time Camera-LiDAR Fusion
• [cs.SD]Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough
• [cs.SE]On the Composition of the Long Tail of Business Processes: Implications from a Process Mining Study
• [cs.SI]Analysing Social Media Network Data with R: Semi-Automated Screening of Users, Comments and Communication Patterns
• [cs.SI]Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach
• [cs.SI]How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising
• [cs.SI]Modeling of Online Echo-Chamber Effect Based on the Concept of Spontaneous Symmetry Breaking
• [cs.SI]ODT Flow Explorer: Extract, Query, and Visualize Human Mobility
• [cs.SI]Post or Tweet: Lessons from a Study of Facebook and Twitter Usage
• [cs.SI]Towards real-time population estimates: introducing Twitter daily estimates of residents and non-residents at the county level
• [cs.SI]Urban Twitter Networks and Communities: A Case Study of Microblogging in Athens
• [eess.SP]Estimator Model for Prediction of Power Output of Wave Farms Using Machine Learning Methods
• [eess.SP]Near- and Far-Field Communications with Large Intelligent Surfaces
• [math-ph]Riemannian Gaussian distributions, random matrix ensembles and diffusion kernels
• [math.DS]Coded equivalence of one-sided topological Markov shifts
• [math.PR]A weak law of large numbers for realised covariation in a Hilbert space setting
• [math.PR]Limitations of Mean-Based Algorithms for Trace Reconstruction at Small Distance
• [math.ST]A new RKHS-based global testing for functional linear model
• [math.ST]Detecting Sparse Heterogeneous Mixtures in a Two-Sample Problem
• [math.ST]Nonparametric estimations and the diffeological Fisher metric
• [math.ST]Simultaneous inference for time-varying models
• [math.ST]Statistical theory for image classification using deep convolutional neural networks with cross-entropy loss
• [math.ST]Two-sample testing of high-dimensional linear regression coefficients via complementary sketching
• [physics.class-ph]Deep Learning for Classical Mechanics
• [q-bio.GN]Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology
• [q-bio.QM]Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectors
• [q-bio.QM]Protein model quality assessment using rotation-equivariant, hierarchical neural networks
• [quant-ph]Consistency testing for robust phase estimation
• [stat.AP]Comparisons of proportions in k dose groups against a negative control assuming order restriction: Williams-type test vs. closed test procedures
• [stat.AP]Development and Realization of Validation Benchmarks
• [stat.AP]Influence of weather natural variability on the thermal characterisation of a building envelope
• [stat.AP]Mega Regional Heat Patterns in US Urban Corridors
• [stat.AP]Outlier-robust Kalman Filter in the Presence of Correlated Measurements
• [stat.ME]Broken Adaptive Ridge Regression for Right-Censored Survival Data
• [stat.ME]Clustering with missing data: which equivalent for Rubin’s rules?
• [stat.ME]Comparison of Bayesian Nonparametric Density Estimation Methods
• [stat.ME]Estimating Conditional Transfer Entropy in Time Series using Mutual Information and Non-linear Prediction
• [stat.ME]Fast Bayesian Deconvolution using Simple Reversible Jump Moves
• [stat.ME]Generalized Single Index Models and Jensen Effects on Reproduction and Survival
• [stat.ME]Multiple change point detection under serial dependence: Wild energy maximisation and gappy Schwarz criterion
• [stat.ME]Positive-Unlabelled Survival Data Analysis
• [stat.ME]Protein Structure Parameterization via Mobius Distributions on the Torus
• [stat.ME]Sensitivity analyses for effect modifiers not observed in the target population when generalizing treatment effects from a randomized controlled trial: Assumptions, models, effect scales, data scenarios, and implementation details
• [stat.ME]Time-dependent mediators in survival analysis: Modelling direct and indirect effects with the additive hazards model
• [stat.ML]Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope
• [stat.ML]Deep orthogonal linear networks are shallow
• [stat.ML]Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents
• [stat.ML]Distributed Variational Bayesian Algorithms Over Sensor Networks
• [stat.ML]Functional Time Series Forecasting: Functional Singular Spectrum Analysis Approaches
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• [cs.AI]Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion
Sijie Mai, Songlong Xing, Jiaxuan He, Ying Zeng, Haifeng Hu
http://arxiv.org/abs/2011.13572v1
• [cs.AI]Automated acquisition of structured, semantic models of manipulation activities from human VR demonstration
Andrei Haidu, Michael Beetz
http://arxiv.org/abs/2011.13689v1
• [cs.AI]Combination of interval-valued belief structures based on belief entropy
Miao Qin, Yongchuan Tang
http://arxiv.org/abs/2011.13636v1
• [cs.AI]Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information
Rachit Dubey, Erin Grant, Michael Luo, Karthik Narasimhan, Thomas Griffiths
http://arxiv.org/abs/2011.13782v1
• [cs.AI]Episodic Self-Imitation Learning with Hindsight
Tianhong Dai, Hengyan Liu, Anil Anthony Bharath
http://arxiv.org/abs/2011.13467v1
• [cs.AI]Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers
Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh
http://arxiv.org/abs/2011.13824v1
• [cs.AI]Lower Bounds for Approximate Knowledge Compilation
Alexis de Colnet, Stefan Mengel
http://arxiv.org/abs/2011.13721v1
• [cs.AI]Meta-learning in natural and artificial intelligence
Jane X. Wang
http://arxiv.org/abs/2011.13464v1
• [cs.AI]TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game
Lei Han, Jiechao Xiong, Peng Sun, Xinghai Sun, Meng Fang, Qingwei Guo, Qiaobo Chen, Tengfei Shi, Hongsheng Yu, Zhengyou Zhang
http://arxiv.org/abs/2011.13729v1
• [cs.AI]Understand Watchdogs: Discover How Game Bot Get Discovered
Eunji Park, Kyoung Ho Park, Huy Kang Kim
http://arxiv.org/abs/2011.13374v1
• [cs.CL]A Survey of Deep Learning Approaches for OCR and Document Understanding
Nishant Subramani, Alexandre Matton, Malcolm Greaves, Adrian Lam
http://arxiv.org/abs/2011.13534v1
• [cs.CL]A question-answering system for aircraft pilots’ documentation
Alexandre Arnold, Gérard Dupont, Félix Furger, Catherine Kobus, François Lancelot
http://arxiv.org/abs/2011.13284v1
• [cs.CL]AutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises
Nham Le, Tuan Lai, Trung Bui, Doo Soon Kim
http://arxiv.org/abs/2011.13470v1
• [cs.CL]Chinese Medical Question Answer Matching Based on Interactive Sentence Representation Learning
Xiongtao Cui, Jungang Han
http://arxiv.org/abs/2011.13573v1
• [cs.CL]CoRe: An Efficient Coarse-refined Training Framework for BERT
Cheng Yang, Shengnan Wang, Yuechuan Li, Chao Yang, Ming Yan, Jingqiao Zhang, Fangquan Lin
http://arxiv.org/abs/2011.13633v1
• [cs.CL]Decoding and Diversity in Machine Translation
Nicholas Roberts, Davis Liang, Graham Neubig, Zachary C. Lipton
http://arxiv.org/abs/2011.13477v1
• [cs.CL]Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient
Yekyung Kim
http://arxiv.org/abs/2011.13570v1
• [cs.CL]Domain Adaptative Causality Encoder
Farhad Moghimifar, Gholamreza Haffari, Mahsa Baktashmotlagh
http://arxiv.org/abs/2011.13549v1
• [cs.CL]FFCI: A Framework for Interpretable Automatic Evaluation of Summarization
Fajri Koto, Jey Han Lau, Timothy Baldwin
http://arxiv.org/abs/2011.13662v1
• [cs.CL]Joint Extraction of Entity and Relation with Information Redundancy Elimination
Yuanhao Shen, Jungang Han
http://arxiv.org/abs/2011.13565v1
• [cs.CL]Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction
Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua
http://arxiv.org/abs/2011.13574v1
• [cs.CL]NLPStatTest: A Toolkit for Comparing NLP System Performance
Haotian Zhu, Denise Mak, Jesse Gioannini, Fei Xia
http://arxiv.org/abs/2011.13231v1
• [cs.CL]Progressively Stacking 2.0: A Multi-stage Layerwise Training Method for BERT Training Speedup
Cheng Yang, Shengnan Wang, Chao Yang, Yuechuan Li, Ru He, Jingqiao Zhang
http://arxiv.org/abs/2011.13635v1
• [cs.CL]Relation Clustering in Narrative Knowledge Graphs
Simone Mellace, K Vani, Alessandro Antonucci
http://arxiv.org/abs/2011.13647v1
• [cs.CL]TaylorGAN: Neighbor-Augmented Policy Update for Sample-Efficient Natural Language Generation
Chun-Hsing Lin, Siang-Ruei Wu, Hung-Yi Lee, Yun-Nung Chen
http://arxiv.org/abs/2011.13527v1
• [cs.CL]Text Analytics for Resilience-Enabled Extreme EventsReconnaissance
Alicia Y. Tsai, Selim Gunay, Minjune Hwang, Pengyuan Zhai, Chenglong Li, Laurent El Ghaoui, Khalid M. Mosalam
http://arxiv.org/abs/2011.13087v1
• [cs.CL]Towards Interpretable Multilingual Detection of Hate Speech against Immigrants and Women in Twitter at SemEval-2019 Task 5
Alvi Md Ishmam
http://arxiv.org/abs/2011.13238v1
• [cs.CL]Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking
Rutvik Vijjali, Prathyush Potluri, Siddharth Kumar, Sundeep Teki
http://arxiv.org/abs/2011.13253v1
• [cs.CL]Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training
Sameer Khurana, Niko Moritz, Takaaki Hori, Jonathan Le Roux
http://arxiv.org/abs/2011.13439v1
• [cs.CR]Recent Advances in Selective Image Encryption and its Indispensability due to COVID-19
Aditya Jyoti Paul
http://arxiv.org/abs/2011.13740v1
• [cs.CV]3D Invisible Cloak
Mingfu Xue, Can He, Zhiyu Wu, Jian Wang, Zhe Liu, Weiqiang Liu
http://arxiv.org/abs/2011.13705v1
• [cs.CV]A Sheaf and Topology Approach to Generating Local Branch Numbers in Digital Images
Chuan-Shen Hu, Yu-Min Chung
http://arxiv.org/abs/2011.13580v1
• [cs.CV]Association: Remind Your GAN not to Forget
Yi Gu, Yuting Gao, Ruoxin Chen, Feiyang Cai, Jie Li, Chentao Wu
http://arxiv.org/abs/2011.13553v1
• [cs.CV]Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence
Yu Deng, Jiaolong Yang, Xin Tong
http://arxiv.org/abs/2011.13650v1
• [cs.CV]Deinterlacing Network for Early Interlaced Videos
Yang Zhao, Wei Jia, Ronggang Wang, Xiaoping Liu, Xuesong Gao, Weiqiang Chen, Wen Gao
http://arxiv.org/abs/2011.13675v1
• [cs.CV]Descriptor-Free Multi-View Region Matching for Instance-Wise 3D Reconstruction
Takuma Doi, Fumio Okura, Toshiki Nagahara, Yasuyuki Matsushita, Yasushi Yagi
http://arxiv.org/abs/2011.13649v1
• [cs.CV]Efficient Scene Compression for Visual-based Localization
Marcela Mera-Trujillo, Benjamin Smith, Victor Fragoso
http://arxiv.org/abs/2011.13894v1
• [cs.CV]Enhancing Diversity in Teacher-Student Networks via Asymmetric branches for Unsupervised Person Re-identification
Hao Chen, Benoit Lagadec, Francois Bremond
http://arxiv.org/abs/2011.13776v1
• [cs.CV]Field of Junctions
Dor Verbin, Todd Zickler
http://arxiv.org/abs/2011.13866v1
• [cs.CV]Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving
Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Gao Huang
http://arxiv.org/abs/2011.13611v1
• [cs.CV]Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints
Victor Fragoso, Sudipta Sinha
http://arxiv.org/abs/2011.13817v1
• [cs.CV]Image Generators with Conditionally-Independent Pixel Synthesis
Ivan Anokhin, Kirill Demochkin, Taras Khakhulin, Gleb Sterkin, Victor Lempitsky, Denis Korzhenkov
http://arxiv.org/abs/2011.13775v1
• [cs.CV]Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling
Lie Ju, Xin Wang, Xin Zhao, Paul Bonnington, Tom Drummond, Zongyuan Ge
http://arxiv.org/abs/2011.13816v1
• [cs.CV]Lightweight U-Net for High-Resolution Breast Imaging
Mickael Tardy, Diana Mateus
http://arxiv.org/abs/2011.13698v1
• [cs.CV]MEBOW: Monocular Estimation of Body Orientation In the Wild
Chenyan Wu, Yukun Chen, Jiajia Luo, Che-Chun Su, Anuja Dawane, Bikramjot Hanzra, Zhuo Deng, Bilan Liu, James Wang, Cheng-Hao Kuo
http://arxiv.org/abs/2011.13688v1
• [cs.CV]Manipulating Medical Image Translation with Manifold Disentanglement
Siyu Liu, Jason A. Dowling, Craig Engstrom, Peter B. Greer, Stuart Crozier, Shekhar S. Chandra
http://arxiv.org/abs/2011.13615v1
• [cs.CV]Multi-objective Neural Architecture Search with Almost No Training
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu
http://arxiv.org/abs/2011.13591v1
• [cs.CV]Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning
Kehan Qi, Yu Gong, Xinfeng Liu, Xin Liu, Hairong Zheng, Shanshan Wang
http://arxiv.org/abs/2011.13614v1
• [cs.CV]Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Baorui Ma, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
http://arxiv.org/abs/2011.13495v1
• [cs.CV]PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers
Frank Yu, Mathieu Salzmann, Pascal Fua, Helge Rhodin
http://arxiv.org/abs/2011.13607v1
• [cs.CV]Patch-VQ: ‘Patching Up’ the Video Quality Problem
Zhenqiang Ying, Maniratnam Mandal, Deepti Ghadiyaram, Alan Bovik
http://arxiv.org/abs/2011.13544v1
• [cs.CV]Point and Ask: Incorporating Pointing into Visual Question Answering
Arjun Mani, Will Hinthorn, Nobline Yoo, Olga Russakovsky
http://arxiv.org/abs/2011.13681v1
• [cs.CV]Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion
Kaite Xiang, Kailun Yang, Kaiwei Wang
http://arxiv.org/abs/2011.13313v1
• [cs.CV]Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery
Mahmut Yurt, Muzaffer Özbey, Salman Ul Hassan Dar, Berk Tınaz, Kader Karlı Oğuz, Tolga Çukur
http://arxiv.org/abs/2011.13913v1
• [cs.CV]Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles
Yafu Tian, Alexander Carballo, Ruifeng Li, Kazuya Takeda
http://arxiv.org/abs/2011.13588v1
• [cs.CV]Robust Attacks on Deep Learning Face Recognition in the Physical World
Meng Shen, Hao Yu, Liehuang Zhu, Ke Xu, Qi Li, Xiaojiang Du
http://arxiv.org/abs/2011.13526v1
• [cs.CV]Robust and Natural Physical Adversarial Examples for Object Detectors
Mingfu Xue, Chengxiang Yuan, Can He, Jian Wang, Weiqiang Liu
http://arxiv.org/abs/2011.13692v1
• [cs.CV]SFTrack++: A Fast Learnable Spectral Segmentation Approach for Space-Time Consistent Tracking
Elena Burceanu
http://arxiv.org/abs/2011.13843v1
• [cs.CV]Self-EMD: Self-Supervised Object Detection without ImageNet
Songtao Liu, Zeming Li, Jian Sun
http://arxiv.org/abs/2011.13677v1
• [cs.CV]SocialGuard: An Adversarial Example Based Privacy-Preserving Technique for Social Images
Mingfu Xue, Shichang Sun, Zhiyu Wu, Can He, Jian Wang, Weiqiang Liu
http://arxiv.org/abs/2011.13560v1
• [cs.CV]Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition
Zhen Huang, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua
http://arxiv.org/abs/2011.13322v1
• [cs.CV]Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds
Guangming Wang, Yehui Yang, Huixin Zhang, Zhe Liu, Hesheng Wang
http://arxiv.org/abs/2011.13784v1
• [cs.CV]Task Programming: Learning Data Efficient Behavior Representations
Jennifer J. Sun, Ann Kennedy, Eric Zhan, Yisong Yue, Pietro Perona
http://arxiv.org/abs/2011.13917v1
• [cs.CV]Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving
Zhenxun Yuan, Xiao Song, Lei Bai, Wengang Zhou, Zhe Wang, Wanli Ouyang
http://arxiv.org/abs/2011.13628v1
• [cs.CV]The NEOLIX Open Dataset for AutonomousDriving
Lichao Wang, Lanxin Lei, Hongli Song, Weibao Wang
http://arxiv.org/abs/2011.13528v1
• [cs.CV]Towards real-time object recognition and pose estimation in point clouds
Marlon Marcon, Olga Regina Pereira Bellon, Luciano Silva
http://arxiv.org/abs/2011.13669v1
• [cs.CV]Tractable loss function and color image generation of multinary restricted Boltzmann machine
Juno Hwang, Wonseok Hwang, Junghyo Jo
http://arxiv.org/abs/2011.13509v1
• [cs.CV]Unsupervised part representation by Flow Capsules
Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet
http://arxiv.org/abs/2011.13920v1
• [cs.CY]A methodology for co-constructing an interdisciplinary model: from model to survey, from survey to model
Elise Beck, Julie Dugdale, Carole Adam, Christelle Gaïdatzis, Julius Bañgate
http://arxiv.org/abs/2011.13604v1
• [cs.CY]An Ethical Highlighter for People-Centric Dataset Creation
Margot Hanley, Apoorv Khandelwal, Hadar Averbuch-Elor, Noah Snavely, Helen Nissenbaum
http://arxiv.org/abs/2011.13583v1
• [cs.CY]Anticipatory Ethics and the Role of Uncertainty
Priyanka Nanayakkara, Nicholas Diakopoulos, Jessica Hullman
http://arxiv.org/abs/2011.13170v1
• [cs.CY]Contribution of Conceptual Modeling to Enhancing Historians’ Intuition -Application to Prosopography
Jacky Akoka, Isabelle Comyn-Wattiau, Stéphane Lamassé, Cédric Du Mouza
http://arxiv.org/abs/2011.13276v1
• [cs.CY]Creating and Maintaining Filipino and Japanese Students Social Capital with Facebook
Mayumi Kubota, Julius G. Garcia
http://arxiv.org/abs/2011.13447v1
• [cs.CY]Interpretable Poverty Mapping using Social Media Data, Satellite Images, and Geospatial Information
Chiara Ledesma, Oshean Lee Garonita, Lorenzo Jaime Flores, Isabelle Tingzon, Danielle Dalisay
http://arxiv.org/abs/2011.13563v1
• [cs.CY]Nose to Glass: Looking In to Get Beyond
Josephine Seah
http://arxiv.org/abs/2011.13153v1
• [cs.CY]Overcoming Failures of Imagination in AI Infused System Development and Deployment
Margarita Boyarskaya, Alexandra Olteanu, Kate Crawford
http://arxiv.org/abs/2011.13416v1
• [cs.DC]Distributed joint dynamic maintenance and production scheduling in manufacturing systems: Framework based on model predictive control and Benders decomposition
Pegah Rokhforoz, Olga Fink
http://arxiv.org/abs/2011.13743v1
• [cs.DC]Enabling GPU Accelerated Computing in the SUNDIALS Time Integration Library
Cody J. Balos, David J. Gardner, Carol S. Woodward, Daniel R. Reynolds
http://arxiv.org/abs/2011.12984v1
• [cs.DC]High-Throughput Parallel Viterbi Decoder on GPU Tensor Cores
Alireza Mohammadidoost, Matin Hashemi
http://arxiv.org/abs/2011.13579v1
• [cs.DC]Introducing the Task-Aware Storage I/O (TASIO) Library
Aleix Roca Nonell, Vicenç Beltran Querol, Sergi Mateo Bellido
http://arxiv.org/abs/2011.13823v1
• [cs.DC]Logical Obstruction to Set Agreement Tasks for Superset-Closed Adversaries
Koki Yagi, Susumu Nishimura
http://arxiv.org/abs/2011.13630v1
• [cs.DC]MIMOS: A Deterministic Model for the Design and Update of Real-Time Systems
Wang Yi, Morteza Mohaqeqi, Susanne Graf
http://arxiv.org/abs/2011.13234v1
• [cs.DL]A Computational Approach to Historical Ontologies
Mat Kelly, Jane Greenberg, Christopher B. Rauch, Sam Grabus, Joan P. Boone, John A. Kunze, Peter Melville Logan
http://arxiv.org/abs/2011.13114v1
• [cs.DL]Patterns of retractions from 1981-2020 : Does a fraud lead to another fraud?
Kiran Sharma
http://arxiv.org/abs/2011.13091v1
• [cs.ET]A Survey on Modulation Techniques in Molecular Communication via Diffusion
Mehmet Sukru Kuran, H. Birkan Yilmaz, Ilker Demirkol, Nariman Farsad, Andrea Goldsmith
http://arxiv.org/abs/2011.13056v1
• [cs.HC]Human Computations in Citizen Crowds: A Knowledge Management Solution Framework
Nadeem Kafi, Zubair Ahmed Shaikh, Muhammad Shahid Shaikh
http://arxiv.org/abs/2011.13638v1
• [cs.IR]A Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems
Hansi Zeng, Qingyao Ai
http://arxiv.org/abs/2011.13436v1
• [cs.IR]Denmark’s Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19
Lucas Chaves Lima, Casper Hansen, Christian Hansen, Dongsheng Wang, Maria Maistro, Birger Larsen, Jakob Grue Simonsen, Christina Lioma
http://arxiv.org/abs/2011.12684v2
• [cs.IT]A Construction of Maximally Recoverable Codes with Order-Optimal Field Size
Han Cai, Ying Miao, Moshe Schwartz, Xiaohu Tang
http://arxiv.org/abs/2011.13606v1
• [cs.IT]A Galois Connection Approach to Wei-Type Duality Theorems
Yang Xu, Haibin Kan, Guangyue Han
http://arxiv.org/abs/2011.13599v1
• [cs.IT]Beamforming Design for Multiuser uRLLC with Finite Blocklength Transmission
Shiwen He, Zhenyu An, Jianyue Zhu, Jian Zhang, Yongming Huang, Yaoxue Zhang
http://arxiv.org/abs/2011.13598v1
• [cs.IT]Generalized Mutual Information-Maximizing Quantized Decoding of LDPC Codes
Peng Kang, Kui Cai, Xuan He, Jinhong Yuan
http://arxiv.org/abs/2011.13147v1
• [cs.IT]Joint Channel Estimation and Signal Recovery in RIS-Assisted Multi-User MISO Communications
Li Wei, Chongwen Huang, George C. Alexandropoulos, Zhaohui Yang, Chau Yuen, Zhaoyang Zhang
http://arxiv.org/abs/2011.13116v1
• [cs.IT]Low-Complexity Frequency Domain Equalization over Fast Fading Channels
Hongyang Zhang, Xiaojing Huang, J. Andrew Zhang
http://arxiv.org/abs/2011.13561v1
• [cs.IT]Pruning and Quantizing Neural Belief Propagation Decoders
Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
http://arxiv.org/abs/2011.13594v1
• [cs.IT]Reconfigurable Intelligent Surface (RIS) Aided Multi-User Networks: Interplay Between NOMA and RIS
Yuanwei Liu, Xidong Mu, Xiao Liu, Marco Di Renzo, Zhiguo Ding, Robert Schober
http://arxiv.org/abs/2011.13336v1
• [cs.LG]A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks
Haojing Shen, Sihong Chen, Ran Wang
http://arxiv.org/abs/2011.13719v1
• [cs.LG]A study of traits that affect learnability in GANs
Niladri Shekhar Dutt, Sunil Patel
http://arxiv.org/abs/2011.13728v1
• [cs.LG]A survey of benchmarking frameworks for reinforcement learning
Belinda Stapelberg, Katherine M. Malan
http://arxiv.org/abs/2011.13577v1
• [cs.LG]Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning
Jingfeng Wu, Vladimir Braverman, Lin F. Yang
http://arxiv.org/abs/2011.13034v1
• [cs.LG]Better Knowledge Retention through Metric Learning
Ke Li, Shichong Peng, Kailas Vodrahalli, Jitendra Malik
http://arxiv.org/abs/2011.13149v1
• [cs.LG]CASTELO: Clustered Atom Subtypes aidEd Lead Optimization — a combined machine learning and molecular modeling method
Leili Zhang, Giacomo Domeniconi, Chih-Chieh Yang, Seung-gu Kang, Ruhong Zhou, Guojing Cong
http://arxiv.org/abs/2011.13788v1
• [cs.LG]Deep Reinforcement Learning for Wireless Scheduling with Multiclass Services
Apostolos Avranas, Marios Kountouris, Philippe Ciblat
http://arxiv.org/abs/2011.13634v1
• [cs.LG]Detection of Malaria Vector Breeding Habitats using Topographic Models
Aishwarya Jadhav
http://arxiv.org/abs/2011.13714v1
• [cs.LG]Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning
Matheus R. F. Mendonça, André M. S. Barreto, Artur Ziviani
http://arxiv.org/abs/2011.13518v1
• [cs.LG]Eigenvalue-corrected Natural Gradient Based on a New Approximation
Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Shuangling Wang, Zidong Wang, Dachuan Xu, Fan Yu
http://arxiv.org/abs/2011.13609v1
• [cs.LG]Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank
Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut
http://arxiv.org/abs/2011.13772v1
• [cs.LG]Improving Layer-wise Adaptive Rate Methods using Trust Ratio Clipping
Jeffrey Fong, Siwei Chen, Kaiqi Chen
http://arxiv.org/abs/2011.13584v1
• [cs.LG]Machine learning for risk analysis of Urinary Tract Infection in people with dementia
Honglin Li, Payam Barnaghi, Severin Skillman, David Sharp, Ramin Nilforooshan, Helen Rostill
http://arxiv.org/abs/2011.13916v1
• [cs.LG]Mixed Membership Graph Clustering via Systematic Edge Query
Shahana Ibrahim, Xiao Fu
http://arxiv.org/abs/2011.12988v1
• [cs.LG]Navigating the GAN Parameter Space for Semantic Image Editing
Anton Cherepkov, Andrey Voynov, Artem Babenko
http://arxiv.org/abs/2011.13786v1
• [cs.LG]Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation
Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Yixiao Duan, Yiran Chen
http://arxiv.org/abs/2011.13522v1
• [cs.LG]Offline Learning from Demonstrations and Unlabeled Experience
Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Caglar Gulcehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott Reed
http://arxiv.org/abs/2011.13885v1
• [cs.LG]Physics-Informed Neural Network for Modelling the Thermochemical Curing Process of Composite-Tool Systems During Manufacture
Sina Amini Niaki, Ehsan Haghighat, Xinglong Li, Trevor Campbell, Reza Vaziri
http://arxiv.org/abs/2011.13511v1
• [cs.LG]Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling
Dapeng Feng, Kathryn Lawson, Chaopeng Shen
http://arxiv.org/abs/2011.13380v1
• [cs.LG]Predictive Collision Management for Time and Risk Dependent Path Planning
Carsten Hahn, Sebastian Feld, Hannes Schroter
http://arxiv.org/abs/2011.13305v1
• [cs.LG]Randomized Transferable Machine
Pengfei Wei, Tze Yun Leong
http://arxiv.org/abs/2011.13629v1
• [cs.LG]Reinforcement Learning-based Joint Path and Energy Optimization of Cellular-Connected Unmanned Aerial Vehicles
Arash Hooshmand
http://arxiv.org/abs/2011.13744v1
• [cs.LG]Rethinking Generalization in American Sign Language Prediction for Edge Devices with Extremely Low Memory Footprint
Aditya Jyoti Paul, Puranjay Mohan, Stuti Sehgal
http://arxiv.org/abs/2011.13741v1
• [cs.LG]Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness
Yilun Jin, Lixin Fan, Kam Woh Ng, Ce Ju, Qiang Yang
http://arxiv.org/abs/2011.13538v1
• [cs.LG]Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole
http://arxiv.org/abs/2011.13456v1
• [cs.LG]Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning
Haoyi Fan, Fengbin Zhang, Yue Gao
http://arxiv.org/abs/2011.13548v1
• [cs.LG]Skill Transfer via Partially Amortized Hierarchical Planning
Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti
http://arxiv.org/abs/2011.13897v1
• [cs.LG]Spectral Analysis and Stability of Deep Neural Dynamics
Jan Drgona, Elliott Skomski, Soumya Vasisht, Aaron Tuor, Draguna Vrabie
http://arxiv.org/abs/2011.13492v1
• [cs.LG]They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning
Huang Zhuo, Tai Ying, Wang Chengjie, Yang Jian, Gong Chen
http://arxiv.org/abs/2011.13529v1
• [cs.LG]Tight Hardness Results for Training Depth-2 ReLU Networks
Surbhi Goel, Adam Klivans, Pasin Manurangsi, Daniel Reichman
http://arxiv.org/abs/2011.13550v1
• [cs.LG]Unsupervised learning for economic risk evaluation in the context of Covid-19 pandemic
Santiago Cortes, Yullys M. Quintero
http://arxiv.org/abs/2011.13350v1
• [cs.NE]A Temporal Neural Network Architecture for Online Learning
James E. Smith
http://arxiv.org/abs/2011.13844v1
• [cs.NE]Physics-Informed Neural State Space Models via Learning and Evolution
Elliott Skomski, Jan Drgona, Aaron Tuor
http://arxiv.org/abs/2011.13497v1
• [cs.NE]Representation of 2D frame less visual space as a neural manifold and its information geometric interpretation
Debasis Mazumdar
http://arxiv.org/abs/2011.13585v1
• [cs.NI]Eco-Routing Using Open Street Maps
R K Ghosh, Vinay R, Arnab Bhattacharyya
http://arxiv.org/abs/2011.13556v1
• [cs.RO]A Hybrid Biped Stabilizer System Based on Analytical Control and Learning of Symmetrical Residual Physics
Mohammadreza Kasaei, Miguel Abreu, Nuno Lau, Artur Pereira, Luis Paulo Reis
http://arxiv.org/abs/2011.13798v1
• [cs.RO]A Mixed Integer Linear Program For Human And Material Resources Optimization In Emergency Department
Ibtissem Chouba, Lionel Amodeo, Farouk Yalaoui, Taha Arbaoui, David Laplanche
http://arxiv.org/abs/2011.13596v1
• [cs.RO]An open-ended learning architecture to face the REAL 2020 simulated robot competition
Emilio Cartoni, Davide Montella, Jochen Triesch, Gianluca Baldassarre
http://arxiv.org/abs/2011.13880v1
• [cs.RO]Autonomous learning of multiple, context-dependent tasks
Vieri Giuliano Santucci, Davide Montella, Bruno Castro da Silva, Gianluca Baldassarre
http://arxiv.org/abs/2011.13847v1
• [cs.RO]Convolutional Neural Networks Towards Arduino Navigation of Indoor Environments
Michael Muratov, Sachkiran Kaur, Michael Szpakowicz
http://arxiv.org/abs/2011.13893v1
• [cs.RO]Human-in-the-loop Cueing Strategy for Gait Rehabilitation
Tina LY Wu, Anna Murphy, Chao Chen, Dana Kulic
http://arxiv.org/abs/2011.13516v1
• [cs.RO]Learning from Simulation, Racing in Reality
Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros
http://arxiv.org/abs/2011.13332v1
• [cs.RO]Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok
http://arxiv.org/abs/2011.13219v1
• [cs.RO]ROS Based Visual Programming Tool for Mobile Robot Education and Applications
Mustafa Karaca, Ugur Yayan
http://arxiv.org/abs/2011.13706v1
• [cs.RO]Real-time Active Vision for a Humanoid Soccer Robot Using Deep Reinforcement Learning
Soheil Khatibi, Meisam Teimouri, Mahdi Rezaei
http://arxiv.org/abs/2011.13851v1
• [cs.RO]Robust Autonomous Landing of UAV in Non-Cooperative Environments based on Dynamic Time Camera-LiDAR Fusion
Lyujie Chen, Xiaming Yuan, Yao Xiao, Yiding Zhang, Jihong Zhu
http://arxiv.org/abs/2011.13761v1
• [cs.SD]Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough
Gunvant Chaudhari, Xinyi Jiang, Ahmed Fakhry, Asriel Han, Jaclyn Xiao, Sabrina Shen, Amil Khanzada
http://arxiv.org/abs/2011.13320v1
• [cs.SE]On the Composition of the Long Tail of Business Processes: Implications from a Process Mining Study
Marcus Fischer, Adrian Hofmann, Florian Imgrund, Christian Janiesch, Axel Winkelmann
http://arxiv.org/abs/2011.13188v1
• [cs.SI]Analysing Social Media Network Data with R: Semi-Automated Screening of Users, Comments and Communication Patterns
Dennis Klinkhammer
http://arxiv.org/abs/2011.13327v1
• [cs.SI]Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach
Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos
http://arxiv.org/abs/2011.13085v1
• [cs.SI]How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising
Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng
http://arxiv.org/abs/2011.13608v1
• [cs.SI]Modeling of Online Echo-Chamber Effect Based on the Concept of Spontaneous Symmetry Breaking
Masaki Aida, Ayako Hashizume
http://arxiv.org/abs/2011.13372v1
• [cs.SI]ODT Flow Explorer: Extract, Query, and Visualize Human Mobility
Zhenlong Li, Xiao Huang, Xinyue Ye, Xiaoming Li
http://arxiv.org/abs/2011.12958v1
• [cs.SI]Post or Tweet: Lessons from a Study of Facebook and Twitter Usage
Tasos Spiliotopoulos, Ian Oakley
http://arxiv.org/abs/2011.13802v1
• [cs.SI]Towards real-time population estimates: introducing Twitter daily estimates of residents and non-residents at the county level
Yago Martin, Zhenlong Li, Yue Ge
http://arxiv.org/abs/2011.13482v1
• [cs.SI]Urban Twitter Networks and Communities: A Case Study of Microblogging in Athens
Tasos Spiliotopoulos, Ian Oakley
http://arxiv.org/abs/2011.13785v1
• [eess.SP]Estimator Model for Prediction of Power Output of Wave Farms Using Machine Learning Methods
Bhavana Burramukku
http://arxiv.org/abs/2011.13130v1
• [eess.SP]Near- and Far-Field Communications with Large Intelligent Surfaces
Andrea de Jesus Torres, Luca Sanguinetti, Emil Björnson
http://arxiv.org/abs/2011.13835v1
• [math-ph]Riemannian Gaussian distributions, random matrix ensembles and diffusion kernels
Leonardo Santilli, Miguel Tierz
http://arxiv.org/abs/2011.13680v1
• [math.DS]Coded equivalence of one-sided topological Markov shifts
Kengo Matsumoto
http://arxiv.org/abs/2011.13589v1
• [math.PR]A weak law of large numbers for realised covariation in a Hilbert space setting
Fred Espen Benth, Dennis Schroers, Almut E. D. Veraart
http://arxiv.org/abs/2011.13030v1
• [math.PR]Limitations of Mean-Based Algorithms for Trace Reconstruction at Small Distance
Elena Grigorescu, Madhu Sudan, Minshen Zhu
http://arxiv.org/abs/2011.13737v1
• [math.ST]A new RKHS-based global testing for functional linear model
Jianjun Xu, Wenquan Cui
http://arxiv.org/abs/2011.13613v1
• [math.ST]Detecting Sparse Heterogeneous Mixtures in a Two-Sample Problem
Rong Huang
http://arxiv.org/abs/2011.13496v1
• [math.ST]Nonparametric estimations and the diffeological Fisher metric
Hông Vân Lê, Alexey A. Tuzhilin
http://arxiv.org/abs/2011.13418v1
• [math.ST]Simultaneous inference for time-varying models
Sayar Karmakar, Stefan Richter, Wei Biao Wu
http://arxiv.org/abs/2011.13157v1
• [math.ST]Statistical theory for image classification using deep convolutional neural networks with cross-entropy loss
Michael Kohler, Sophie Langer
http://arxiv.org/abs/2011.13602v1
• [math.ST]Two-sample testing of high-dimensional linear regression coefficients via complementary sketching
Fengnan Gao, Tengyao Wang
http://arxiv.org/abs/2011.13624v1
• [physics.class-ph]Deep Learning for Classical Mechanics
Mugeon Song, Maverick S. H. Oh, Yongjun Ahn, Keun-Young Kim
http://arxiv.org/abs/2011.13726v1
• [q-bio.GN]Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology
Babak Alipanahi, Farhad Hormozdiari, Babak Behsaz, Justin Cosentino, Zachary R. McCaw, Emanuel Schorsch, D. Sculley, Elizabeth H. Dorfman, Sonia Phene, Naama Hammel, Andrew Carroll, Anthony P. Khawaja, Cory Y. McLean
http://arxiv.org/abs/2011.13012v1
• [q-bio.QM]Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectors
Clemens Hutter, Moritz von Stosch, Mariano Nicolas Cruz Bournazou, Alessandro Butté
http://arxiv.org/abs/2011.13863v1
• [q-bio.QM]Protein model quality assessment using rotation-equivariant, hierarchical neural networks
Stephan Eismann, Patricia Suriana, Bowen Jing, Raphael J. L. Townshend, Ron O. Dror
http://arxiv.org/abs/2011.13557v1
• [quant-ph]Consistency testing for robust phase estimation
Antonio E. Russo, William M. Kirby, Kenneth M. Rudinger, Andrew D. Baczewski, Shelby Kimmel
http://arxiv.org/abs/2011.13442v1
• [stat.AP]Comparisons of proportions in k dose groups against a negative control assuming order restriction: Williams-type test vs. closed test procedures
Ludwig A. Hothorn
http://arxiv.org/abs/2011.13758v1
• [stat.AP]Development and Realization of Validation Benchmarks
Farid Mohammadi
http://arxiv.org/abs/2011.13216v1
• [stat.AP]Influence of weather natural variability on the thermal characterisation of a building envelope
Sarah Juricic, Jeanne Goffart, Simon Rouchier, Aurélie Foucquier, Nicolas Cellier, Gilles Fraisse
http://arxiv.org/abs/2011.13593v1
• [stat.AP]Mega Regional Heat Patterns in US Urban Corridors
Babak Jalalzadeh Fard, Udit Bhatia, Auroop R. Ganguly
http://arxiv.org/abs/2011.13031v1
• [stat.AP]Outlier-robust Kalman Filter in the Presence of Correlated Measurements
Hongwei Wang, Yuanyuan Liu, Wei Zhang, Junyi Zuo
http://arxiv.org/abs/2011.13353v1
• [stat.ME]Broken Adaptive Ridge Regression for Right-Censored Survival Data
Zhihua Sun, Yi Liu, Kani Chen, Gang Li
http://arxiv.org/abs/2011.13646v1
• [stat.ME]Clustering with missing data: which equivalent for Rubin’s rules?
Vincent Audigier, Ndèye Niang
http://arxiv.org/abs/2011.13694v1
• [stat.ME]Comparison of Bayesian Nonparametric Density Estimation Methods
Adel Bedoui, Ori Rosen
http://arxiv.org/abs/2011.13800v1
• [stat.ME]Estimating Conditional Transfer Entropy in Time Series using Mutual Information and Non-linear Prediction
Payam Shahsavari Baboukani, Carina Graversen, Emina Alickovic, Jan Østergaard
http://arxiv.org/abs/2011.13655v1
• [stat.ME]Fast Bayesian Deconvolution using Simple Reversible Jump Moves
Koki Okajima, Kenji Nagata, Masato Okada
http://arxiv.org/abs/2011.13301v1
• [stat.ME]Generalized Single Index Models and Jensen Effects on Reproduction and Survival
Zi Ye, Giles Hooker, Stephen P. Ellner
http://arxiv.org/abs/2011.13057v1
• [stat.ME]Multiple change point detection under serial dependence: Wild energy maximisation and gappy Schwarz criterion
Haeran Cho, Piotr Fryzlewicz
http://arxiv.org/abs/2011.13884v1
• [stat.ME]Positive-Unlabelled Survival Data Analysis
Tomoki Toyabe, Yasuhiro Hasegawa, Takahiro Hoshino
http://arxiv.org/abs/2011.13161v1
• [stat.ME]Protein Structure Parameterization via Mobius Distributions on the Torus
Mohammad Arashi, Najmeh Nakhaei Rad, Andriette Bekker, Wolf Dieter Schubert
http://arxiv.org/abs/2011.13027v1
• [stat.ME]Sensitivity analyses for effect modifiers not observed in the target population when generalizing treatment effects from a randomized controlled trial: Assumptions, models, effect scales, data scenarios, and implementation details
Trang Quynh Nguyen, Benjamin Ackerman, Ian Schmid, Stephen R. Cole, Elizabeth A. Stuart
http://arxiv.org/abs/2011.13058v1
• [stat.ME]Time-dependent mediators in survival analysis: Modelling direct and indirect effects with the additive hazards model
Odd O. Aalen, Mats J. Stensrud, Vanessa Didelez, Rhian Daniel, Kjetil Røysland, Susanne Strohmaier
http://arxiv.org/abs/2011.13415v1
• [stat.ML]Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope
Jungtaek Kim, Minsu Cho, Seungjin Choi
http://arxiv.org/abs/2011.13094v1
• [stat.ML]Deep orthogonal linear networks are shallow
Pierre Ablin
http://arxiv.org/abs/2011.13831v1
• [stat.ML]Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents
Enrico Guiraud, Jakob Drefs, Jörg Lücke
http://arxiv.org/abs/2011.13704v1
• [stat.ML]Distributed Variational Bayesian Algorithms Over Sensor Networks
Junhao Hua, Chunguang Li
http://arxiv.org/abs/2011.13600v1
• [stat.ML]Functional Time Series Forecasting: Functional Singular Spectrum Analysis Approaches
Jordan Trinka, Hossein Haghbin, Mehdi Maadooliat
http://arxiv.org/abs/2011.13077v1
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