cond-mat.mtrl-sci - 材料科学

    cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.CC - 计算复杂度 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 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.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.AG - 代数几何 math.AP - 偏微分方程分析 math.NA - 数值分析 math.PR - 概率 math.ST - 统计理论 nlin.CG - 细胞自动机与晶格气 physics.soc-ph - 物理学与社会 q-bio.BM - 生物分子 q-bio.PE - 人口与发展 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

    • [cond-mat.mtrl-sci]Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows
    • [cond-mat.stat-mech]Relevance in the Renormalization Group and in Information Theory
    • [cs.AI]Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems
    • [cs.AI]Distributed Thompson Sampling
    • [cs.AI]Folding and Unfolding on Metagraphs
    • [cs.AI]Mapping Patterns for Virtual Knowledge Graphs
    • [cs.AI]Multi-Label Contrastive Learning for Abstract Visual Reasoning
    • [cs.AI]Origin-Aware Next Destination Recommendation with Personalized Preference Attention
    • [cs.AI]Proceedings of NeurIPS 2019 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response
    • [cs.AI]Proceedings of NeurIPS 2020 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response
    • [cs.AI]Verifiable Planning in Expected Reward Multichain MDPs
    • [cs.CC]Constructing Segmented Differentiable Quadratics to Determine Algorithmic Run Times and Model Non-Polynomial Functions
    • [cs.CL]Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition
    • [cs.CL]ArCorona: Analyzing Arabic Tweets in the Early Days of Coronavirus(COVID-19) Pandemic
    • [cs.CL]BERT-hLSTMs: BERT and Hierarchical LSTMs for Visual Storytelling
    • [cs.CL]Bengali Abstractive News Summarization(BANS): A Neural Attention Approach
    • [cs.CL]CUT: Controllable Unsupervised Text Simplification
    • [cs.CL]Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning
    • [cs.CL]Context in Informational Bias Detection
    • [cs.CL]DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances
    • [cs.CL]Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !
    • [cs.CL]Drugs4Covid: Drug-driven Knowledge Exploitation based on Scientific Publications
    • [cs.CL]End to End ASR System with Automatic Punctuation Insertion
    • [cs.CL]Federated Learning with Diversified Preference for Humor Recognition
    • [cs.CL]GottBERT: a pure German Language Model
    • [cs.CL]Label Enhanced Event Detection with Heterogeneous Graph Attention Networks
    • [cs.CL]Learning Disentangled Intent Representations for Zero-shot Intent Detection
    • [cs.CL]Multilingual Neural RST Discourse Parsing
    • [cs.CL]On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf’s Law, and Similarity Search
    • [cs.CL]Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning
    • [cs.CL]SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change
    • [cs.CL]Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries
    • [cs.CL]Self-Explaining Structures Improve NLP Models
    • [cs.CL]TAN-NTM: Topic Attention Networks for Neural Topic Modeling
    • [cs.CR]Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs
    • [cs.CR]Privacy Labelling and the Story of Princess Privacy and the Seven Helpers
    • [cs.CR]The Application of Blockchain-Based Crypto Assets for Integrating the Physical and Financial Supply Chains in the Construction & Engineering Industry
    • [cs.CV]3D-NVS: A 3D Supervision Approach for Next View Selection
    • [cs.CV]A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation
    • [cs.CV]A small note on variation in segmentation annotations
    • [cs.CV]ACE-Net: Fine-Level Face Alignment through Anchors and Contours Estimation
    • [cs.CV]Aerial Imagery Pixel-level Segmentation
    • [cs.CV]Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
    • [cs.CV]Attributes Aware Face Generation with Generative Adversarial Networks
    • [cs.CV]AutoInt: Automatic Integration for Fast Neural Volume Rendering
    • [cs.CV]BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
    • [cs.CV]Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering
    • [cs.CV]Braille to Text Translation for Bengali Language: A Geometric Approach
    • [cs.CV]Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
    • [cs.CV]Contour Transformer Network for One-shot Segmentation of Anatomical Structures
    • [cs.CV]D-Unet: A Dual-encoder U-Net for Image Splicing Forgery Detection and Localization
    • [cs.CV]Data-driven Analysis of Turbulent Flame Images
    • [cs.CV]DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion
    • [cs.CV]Differential Morphed Face Detection Using Deep Siamese Networks
    • [cs.CV]Dual Refinement Feature Pyramid Networks for Object Detection
    • [cs.CV]Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images
    • [cs.CV]Essential Features: Reducing the Attack Surface of Adversarial Perturbations with Robust Content-Aware Image Preprocessing
    • [cs.CV]Fair Attribute Classification through Latent Space De-biasing
    • [cs.CV]Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks
    • [cs.CV]From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting
    • [cs.CV]From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation
    • [cs.CV]Full-Resolution Correspondence Learning for Image Translation
    • [cs.CV]Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline
    • [cs.CV]Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction
    • [cs.CV]Holistic 3D Human and Scene Mesh Estimation from Single View Images
    • [cs.CV]IMAGO: A family photo album dataset for a socio-historical analysis of the twentieth century
    • [cs.CV]Image inpainting using frequency domain priors
    • [cs.CV]Interpretable Graph Capsule Networks for Object Recognition
    • [cs.CV]Learned Initializations for Optimizing Coordinate-Based Neural Representations
    • [cs.CV]Learning Hyperbolic Representations for Unsupervised 3D Segmentation
    • [cs.CV]Learning Two-Stream CNN for Multi-Modal Age-related Macular Degeneration Categorization
    • [cs.CV]Learning to Transfer Visual Effects from Videos to Images
    • [cs.CV]Make One-Shot Video Object Segmentation Efficient Again
    • [cs.CV]MakeupBag: Disentangling Makeup Extraction and Application
    • [cs.CV]Meta-Generating Deep Attentive Metric for Few-shot Classification
    • [cs.CV]Motion-based Camera Localization System in Colonoscopy Videos
    • [cs.CV]Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion
    • [cs.CV]Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment
    • [cs.CV]Multiple Networks are More Efficient than One: Fast and Accurate Models via Ensembles and Cascades
    • [cs.CV]Mutual Information Maximization on Disentangled Representations for Differential Morph Detection
    • [cs.CV]Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction
    • [cs.CV]Neural Prototype Trees for Interpretable Fine-grained Image Recognition
    • [cs.CV]Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection
    • [cs.CV]Patch2Pix: Epipolar-Guided Pixel-Level Correspondences
    • [cs.CV]Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks
    • [cs.CV]Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization
    • [cs.CV]Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
    • [cs.CV]Reliable Model Compression via Label-Preservation-Aware Loss Functions
    • [cs.CV]Robust Instance Segmentation through Reasoning about Multi-Object Occlusion
    • [cs.CV]SAFCAR: Structured Attention Fusion for Compositional Action Recognition
    • [cs.CV]SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning
    • [cs.CV]Self-labeled Conditional GANs
    • [cs.CV]Single-shot Path Integrated Panoptic Segmentation
    • [cs.CV]Sparse Semi-Supervised Action Recognition with Active Learning
    • [cs.CV]Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision
    • [cs.CV]Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization
    • [cs.CV]Towards Part-Based Understanding of RGB-D Scans
    • [cs.CV]Understanding Failures of Deep Networks via Robust Feature Extraction
    • [cs.CV]Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation
    • [cs.CV]Video Anomaly Detection by Estimating Likelihood of Representations
    • [cs.CV]Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization
    • [cs.CV]pixelNeRF: Neural Radiance Fields from One or Few Images
    • [cs.CY]COVID-19 Contact Tracing and Privacy: A Longitudinal Study of Public Opinion
    • [cs.CY]Digital Landscape of COVID-19 Testing: Challenges and Opportunities
    • [cs.CY]Effective Feedback for Introductory CS Theory: A JFLAP Extension and Student Persistence
    • [cs.CY]Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning
    • [cs.CY]IBM Employee Attrition Analysis
    • [cs.DB]Fast Track: Synchronized Behavior Detection in Streaming Tensors
    • [cs.DC]Comparison Graphs: a Unified Method for Uniformity Testing
    • [cs.DC]Distributed algorithms for fractional coloring
    • [cs.DC]Dynamic Asynchronous Iterations
    • [cs.DC]Graph Surfing in Reaction Systems from a Categorial Perspective
    • [cs.DC]Leaderless Byzantine Fault Tolerant Consensus
    • [cs.DC]The 10 Research Topics in the Internet of Things
    • [cs.DS]Robustly Learning Mixtures of $k$ Arbitrary Gaussians
    • [cs.GR]LookOut! Interactive Camera Gimbal Controller for Filming Long Takes
    • [cs.GT]On the Impossibility of Convergence of Mixed Strategies with No Regret Learning
    • [cs.HC]NICER: Aesthetic Image Enhancement with Humans in the Loop
    • [cs.IR]A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning
    • [cs.IT]A Novel 3D Non-Stationary Multi-Frequency Multi-Link Wideband MIMO Channel Model
    • [cs.IT]Compressive Privatization: Sparse Distribution Estimation under Locally Differentially Privacy
    • [cs.IT]Decoding Multivariate Multiplicity Codes on Product Sets
    • [cs.IT]Iterative Detection and Decoding of Finite-Length Polar Codes in Gaussian Multiple Access Channels
    • [cs.IT]Position Information from Single-Bounce Reflections
    • [cs.IT]Power Allocation and Parameter Estimation for Multipath-based 5G Positioning
    • [cs.IT]Simple Closed-Form Approximations for Achievable Information Rates of Coded Modulation Systems
    • [cs.IT]Sparse Array of Sub-surface Aided Anti-blockage mmWave Communication Systems
    • [cs.IT]State Masking Over a Two-State Compound Channel
    • [cs.LG]A Novel index-based multidimensional data organization model that enhances the predictability of the machine learning algorithms
    • [cs.LG]A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm
    • [cs.LG]A Study on the Autoregressive and non-Autoregressive Multi-label Learning
    • [cs.LG]An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks
    • [cs.LG]Approximate kNN Classification for Biomedical Data
    • [cs.LG]Asymptotic convergence rate of Dropout on shallow linear neural networks
    • [cs.LG]Automatic Routability Predictor Development Using Neural Architecture Search
    • [cs.LG]Competition analysis on the over-the-counter credit default swap market
    • [cs.LG]DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems
    • [cs.LG]Deep Spectral CNN for Laser Induced Breakdown Spectroscopy
    • [cs.LG]Deep learning collocation method for solid mechanics: Linear elasticity, hyperelasticity, and plasticity as examples
    • [cs.LG]DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games
    • [cs.LG]Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications
    • [cs.LG]Distributed Training and Optimization Of Neural Networks
    • [cs.LG]Domain Adaptation with Incomplete Target Domains
    • [cs.LG]Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug Repurposing
    • [cs.LG]Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning
    • [cs.LG]Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
    • [cs.LG]FAT: Federated Adversarial Training
    • [cs.LG]FairBatch: Batch Selection for Model Fairness
    • [cs.LG]FenceBox: A Platform for Defeating Adversarial Examples with Data Augmentation Techniques
    • [cs.LG]Graph Neural Networks for Improved El Niño Forecasting
    • [cs.LG]Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression
    • [cs.LG]Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit
    • [cs.LG]Interpretability and Explainability: A Machine Learning Zoo Mini-tour
    • [cs.LG]Machine learning prediction of critical transition and system collapse
    • [cs.LG]Manifold Learning and Deep Clustering with Local Dictionaries
    • [cs.LG]Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding
    • [cs.LG]Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning
    • [cs.LG]Neural Contextual Bandits with Deep Representation and Shallow Exploration
    • [cs.LG]Neural Network Approximations of Compositional Functions With Applications to Dynamical Systems
    • [cs.LG]On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering
    • [cs.LG]Online learning with dynamics: A minimax perspective
    • [cs.LG]Recursive Tree Grammar Autoencoders
    • [cs.LG]Regularization via Adaptive Pairwise Label Smoothing
    • [cs.LG]ResPerfNet: Deep Residual Learning for Regressional Performance Modeling of Deep Neural Networks
    • [cs.LG]Robust Federated Learning with Noisy Labels
    • [cs.LG]SSGD: A safe and efficient method of gradient descent
    • [cs.LG]Sample Complexity of Policy Gradient Finding Second-Order Stationary Points
    • [cs.LG]Second-Order Guarantees in Federated Learning
    • [cs.LG]Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
    • [cs.LG]Stochastic Adversarial Gradient Embedding for Active Domain Adaptation
    • [cs.LG]Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style Adaptive Momentum
    • [cs.LG]Towards Repairing Neural Networks Correctly
    • [cs.LG]Traffic4cast 2020 — Graph Ensemble Net and the Importance of Feature And Loss Function Design for Traffic Prediction
    • [cs.LG]Transfer Learning as an Enabler of the Intelligent Digital Twin
    • [cs.LG]Using Cross-Loss Influence Functions to Explain Deep Network Representations
    • [cs.LG]Value Alignment Verification
    • [cs.LG]What Makes a Star Teacher? A Hierarchical BERT Model for Evaluating Teacher’s Performance in Online Education
    • [cs.LO]Reversibility and Composition of Rewriting in Hierarchies
    • [cs.NE]A journey in ESN and LSTM visualisations on a language task
    • [cs.NE]Computational characteristics of feedforward neural networks for solving a stiff differential equation
    • [cs.NE]Scalable Transfer Evolutionary Optimization: Coping with Big Task Instances
    • [cs.NI]Multi-Path Routing on the Jellyfish Networks
    • [cs.RO]Cycloidal Trajectory Realization on Staircase with Optimal Trajectory Tracking Control based on Neural Network Temporal Quantized Lagrange Dynamics (NNTQLD)
    • [cs.RO]Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping
    • [cs.RO]Estimation of Trocar and Tool Interaction Forces on the da Vinci ResearchKit with Two-Step Deep Learning
    • [cs.RO]Fast-reactive probabilistic motion planning for high-dimensional robots
    • [cs.RO]Goal-Driven Robotic Pushing Using Tactile and Proprioceptive Feedback
    • [cs.RO]How to Formally Model Human in Collaborative Robotics
    • [cs.RO]Human Tactile Gesture Interpretation for Robotic Systems
    • [cs.RO]Identification of Prototypical Task Executions Based on Smoothness as Basis of Human-to-Robot Kinematic Skill Transfer
    • [cs.RO]Intervention Design for Effective Sim2Real Transfer
    • [cs.RO]Material Recognition via Heat Transfer Given Ambiguous Initial Conditions
    • [cs.RO]Multimodal Contact Detection using Auditory and Force Features for Reliable Object Placing in Household Environments
    • [cs.RO]Object-Driven Active Mapping for More Accurate Object Pose Estimation and Robotic Grasping
    • [cs.RO]Obstacle Avoidance Using a Monocular Camera
    • [cs.RO]Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets
    • [cs.RO]Relational Learning for Skill Preconditions
    • [cs.RO]Singularity-free Guiding Vector Field for Robot Navigation
    • [cs.SD]Enhancement of Spatial Clustering-Based Time-Frequency Masks using LSTM Neural Networks
    • [cs.SD]MelGlow: Efficient Waveform Generative Network Based on Location-Variable Convolution
    • [cs.SD]Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial Training
    • [cs.SE]Explainable AI for Software Engineering
    • [cs.SE]SemMT: A Semantic-based Testing Approach for Machine Translation Systems
    • [cs.SE]Towards Compositional Verification for Modular Robotic Systems
    • [cs.SE]YAP: Tool Support for Deriving Safety Controllers from Hazard Analysis and Risk Assessments
    • [cs.SI]Discriminatory Expressions to Produce Interpretable Models in Microblogging Context
    • [cs.SI]Optimizing sensors placement in complex networks for localization of hidden signal source: A review
    • [cs.SI]Predicting Misinformation and Engagement in COVID-19 Twitter Discourse in the First Months of the Outbreak
    • [cs.SI]Social Media Study of Public Opinions on Potential COVID-19 Vaccines: Informing Dissent, Disparities, and Dissemination
    • [cs.SI]Source location on multilayer networks
    • [cs.SI]The Wedge Picking Model: A dynamic graph model based on triadic closure
    • [eess.AS]A Study of Few-Shot Audio Classification
    • [eess.AS]Individually amplified text-to-speech
    • [eess.IV]An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT
    • [eess.IV]CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans
    • [eess.IV]Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation
    • [eess.IV]How to Exploit the Transferability of Learned Image Compression to Conventional Codecs
    • [eess.IV]Localization of Malaria Parasites and White Blood Cells in Thick Blood Smears
    • [eess.IV]SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising
    • [eess.IV]Unsupervised Alternating Optimization for Blind Hyperspectral Imagery Super-resolution
    • [eess.SP]Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers
    • [eess.SP]Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems
    • [eess.SP]Generating private data with user customization
    • [eess.SP]Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming
    • [eess.SY]Fundamental Stealthiness-Distortion Tradeoffs in Dynamical (Control) Systems under Injection Attacks: A Power Spectral Analysis
    • [math.AG]Coloured Graphical Models and their Symmetries
    • [math.AP]Some observations on partial differential equations in Barron and multi-layer spaces
    • [math.NA]Hotspot identification for Mapper graphs
    • [math.PR]Spectral Analysis of Word Statistics
    • [math.ST]General Behaviour of P-Values Under the Null and Alternative
    • [nlin.CG]Reconstructing cellular automata rules from observations at nonconsecutive times
    • [physics.soc-ph]Locating the source of interacting signal in complex networks
    • [q-bio.BM]Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning
    • [q-bio.PE]Entropy and Diversity: The Axiomatic Approach
    • [quant-ph]Classification and reconstruction of optical quantum states with deep neural networks
    • [quant-ph]Quantum learning algorithms imply circuit lower bounds
    • [stat.AP]Assaying Large-scale Testing Models to Interpret Covid-19 Case Numbers. A Cross-country Study
    • [stat.AP]Matrix Completion Methods for the Total Electron Content Video Reconstruction
    • [stat.AP]Systematic errors in estimates of $R_t$ from symptomatic cases in the presence of observation bias
    • [stat.AP]brolgar: An R package to BRowse Over Longitudinal Data Graphically and Analytically in R
    • [stat.ME]A Generalized Heckman Model With Varying Sample Selection Bias and Dispersion Parameters
    • [stat.ME]A Note on Bayesian Modeling Specification of Censored Data in JAGS
    • [stat.ME]A semi-parametric model for target localization in distributed systems
    • [stat.ME]Doubly-robust evaluation of high-dimensional surrogate markers
    • [stat.ME]Filtering and improved Uncertainty Quantification in the dynamic estimation of effective reproduction numbers
    • [stat.ME]Forecast with Forecasts: Diversity Matters
    • [stat.ME]Modeling Count Data via Copulas
    • [stat.ME]Multiply robust estimation of causal effects under principal ignorability
    • [stat.ME]Non-parametric Quantile Regression via the K-NN Fused Lasso
    • [stat.ME]On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression
    • [stat.ME]Optimal Cox Regression Subsampling Procedure with Rare Events
    • [stat.ME]Robust functional principal components for sparse longitudinal data
    • [stat.ME]Second order semi-parametric inference for multivariate log Gaussian Cox processes
    • [stat.ML]A similarity-based Bayesian mixture-of-experts model
    • [stat.ML]Integrable Nonparametric Flows
    • [stat.ML]Online Forgetting Process for Linear Regression Models
    • [stat.ML]Sample-efficient L0-L2 constrained structure learning of sparse Ising models
    • [stat.ML]Towards an AI assistant for human grid operators

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

    • [cond-mat.mtrl-sci]Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows
    Jize Zhang, Bhavya Kailkhura, T. Yong-Jin Han
    http://arxiv.org/abs/2012.01478v1

    • [cond-mat.stat-mech]Relevance in the Renormalization Group and in Information Theory
    Amit Gordon, Aditya Banerjee, Maciej Koch-Janusz, Zohar Ringel
    http://arxiv.org/abs/2012.01447v1

    • [cs.AI]Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems
    Jan Strohschein, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein
    http://arxiv.org/abs/2012.01823v1

    • [cs.AI]Distributed Thompson Sampling
    Jing Dong, Tan Li, Shaolei Ren, Linqi Song
    http://arxiv.org/abs/2012.01789v1

    • [cs.AI]Folding and Unfolding on Metagraphs
    Ben Goertzel
    http://arxiv.org/abs/2012.01759v1

    • [cs.AI]Mapping Patterns for Virtual Knowledge Graphs
    Diego Calvanese, Avigdor Gal, Davide Lanti, Marco Montali, Alessandro Mosca, Roee Shraga
    http://arxiv.org/abs/2012.01917v1

    • [cs.AI]Multi-Label Contrastive Learning for Abstract Visual Reasoning
    Mikołaj Małkiński, Jacek Mańdziuk
    http://arxiv.org/abs/2012.01944v1

    • [cs.AI]Origin-Aware Next Destination Recommendation with Personalized Preference Attention
    Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan
    http://arxiv.org/abs/2012.01915v1

    • [cs.AI]Proceedings of NeurIPS 2019 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response
    Ritwik Gupta, Eric T. Heim
    http://arxiv.org/abs/2012.01022v2

    • [cs.AI]Proceedings of NeurIPS 2020 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response
    Ritwik Gupta, Eric T. Heim, Edoardo Nemni
    http://arxiv.org/abs/2012.02108v1

    • [cs.AI]Verifiable Planning in Expected Reward Multichain MDPs
    George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez
    http://arxiv.org/abs/2012.02178v1

    • [cs.CC]Constructing Segmented Differentiable Quadratics to Determine Algorithmic Run Times and Model Non-Polynomial Functions
    Ananth Goyal
    http://arxiv.org/abs/2012.01420v1

    • [cs.CL]Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition
    Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven Hoi
    http://arxiv.org/abs/2012.01687v1

    • [cs.CL]ArCorona: Analyzing Arabic Tweets in the Early Days of Coronavirus(COVID-19) Pandemic
    Hamdy Mubarak, Sabit Hassan
    http://arxiv.org/abs/2012.01462v1

    • [cs.CL]BERT-hLSTMs: BERT and Hierarchical LSTMs for Visual Storytelling
    Jing Su, Qingyun Dai, Frank Guerin, Mian Zhou
    http://arxiv.org/abs/2012.02128v1

    • [cs.CL]Bengali Abstractive News Summarization(BANS): A Neural Attention Approach
    Prithwiraj Bhattacharjee, Avi Mallick, Md Saiful Islam, Marium-E-Jannat
    http://arxiv.org/abs/2012.01747v1

    • [cs.CL]CUT: Controllable Unsupervised Text Simplification
    Oleg Kariuk, Dima Karamshuk
    http://arxiv.org/abs/2012.01936v1

    • [cs.CL]Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning
    Wei Zhang, Murray Campbell, Yang Yu, Sadhana Kumaravel
    http://arxiv.org/abs/2012.01631v1

    • [cs.CL]Context in Informational Bias Detection
    Esther van den Berg, Katja Markert
    http://arxiv.org/abs/2012.02015v1

    • [cs.CL]DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances
    Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha
    http://arxiv.org/abs/2012.01775v1

    • [cs.CL]Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !
    Wen Xiao, Patrick Huber, Giuseppe Carenini
    http://arxiv.org/abs/2012.02144v1

    • [cs.CL]Drugs4Covid: Drug-driven Knowledge Exploitation based on Scientific Publications
    Carlos Badenes-Olmedo, David Chaves-Fraga, MarÍa Poveda-VillalÓn, Ana Iglesias-Molina, Pablo Calleja, Socorro Bernardos, Patricia MartÍn-Chozas, Alba Fernández-Izquierdo, Elvira Amador-Domínguez, Paola Espinoza-Arias, Luis Pozo, Edna Ruckhaus, Esteban González-Guardia, Raquel Cedazo, Beatriz López-Centeno, Oscar Corcho
    http://arxiv.org/abs/2012.01953v1

    • [cs.CL]End to End ASR System with Automatic Punctuation Insertion
    Yushi Guan
    http://arxiv.org/abs/2012.02012v1

    • [cs.CL]Federated Learning with Diversified Preference for Humor Recognition
    Xu Guo, Pengwei Xing, Siwei Feng, Boyang Li, Chunyan Miao
    http://arxiv.org/abs/2012.01675v1

    • [cs.CL]GottBERT: a pure German Language Model
    Raphael Scheible, Fabian Thomczyk, Patric Tippmann, Victor Jaravine, Martin Boeker
    http://arxiv.org/abs/2012.02110v1

    • [cs.CL]Label Enhanced Event Detection with Heterogeneous Graph Attention Networks
    Shiyao Cui, Bowen Yu, Xin Cong, Tingwen Liu, Quangang Li, Jinqiao Shi
    http://arxiv.org/abs/2012.01878v1

    • [cs.CL]Learning Disentangled Intent Representations for Zero-shot Intent Detection
    Qingyi Si, Yuanxin Liu, Peng Fu, Jiangnan Li, Zheng Lin, Weiping Wang
    http://arxiv.org/abs/2012.01721v1

    • [cs.CL]Multilingual Neural RST Discourse Parsing
    Zhengyuan Liu, Ke Shi, Nancy F. Chen
    http://arxiv.org/abs/2012.01704v1

    • [cs.CL]On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf’s Law, and Similarity Search
    Adam Hare, Yu Chen, Yinan Liu, Zhenming Liu, Christopher G. Brinton
    http://arxiv.org/abs/2012.01941v1

    • [cs.CL]Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning
    Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander Gray, Ramon Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G P Shrivatsa Bhargav, Mo Yu
    http://arxiv.org/abs/2012.01707v1

    • [cs.CL]SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change
    Maurício Gruppi, Sibel Adali, Pin-Yu Chen
    http://arxiv.org/abs/2012.01603v1

    • [cs.CL]Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries
    Ashish Shrivastava, Kaustubh Dhole, Abhinav Bhatt, Sharvani Raghunath
    http://arxiv.org/abs/2012.01873v1

    • [cs.CL]Self-Explaining Structures Improve NLP Models
    Zijun Sun, Chun Fan, Qinghong Han, Xiaofei Sun, Yuxian Meng, Fei Wu, Jiwei Li
    http://arxiv.org/abs/2012.01786v1

    • [cs.CL]TAN-NTM: Topic Attention Networks for Neural Topic Modeling
    Madhur Panwar, Shashank Shailabh, Milan Aggarwal, Balaji Krishnamurthy
    http://arxiv.org/abs/2012.01524v1

    • [cs.CR]Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs
    Sangpyo Kim, Wonkyung Jung, Jaiyoung Park, Jung Ho Ahn
    http://arxiv.org/abs/2012.01968v1

    • [cs.CR]Privacy Labelling and the Story of Princess Privacy and the Seven Helpers
    Johanna Johansen, Tore Pedersen, Simone Fischer-Hübner, Christian Johansen, Gerardo Schneider, Arnold Roosendaal, Harald Zwingelberg, Anders Jakob Sivesind, Josef Noll
    http://arxiv.org/abs/2012.01813v1

    • [cs.CR]The Application of Blockchain-Based Crypto Assets for Integrating the Physical and Financial Supply Chains in the Construction & Engineering Industry
    Hesam Hamledari, Martin Fischer
    http://arxiv.org/abs/2012.02147v1

    • [cs.CV]3D-NVS: A 3D Supervision Approach for Next View Selection
    Kumar Ashutosh, Saurabh Kumar, Subhasis Chaudhuri
    http://arxiv.org/abs/2012.01743v1

    • [cs.CV]A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation
    Ngan Le, Kashu Yamazaki, Dat Truong, Kha Gia Quach, Marios Savvides
    http://arxiv.org/abs/2012.02073v1

    • [cs.CV]A small note on variation in segmentation annotations
    Silas Nyboe Ørting
    http://arxiv.org/abs/2012.01975v1

    • [cs.CV]ACE-Net: Fine-Level Face Alignment through Anchors and Contours Estimation
    Jihua Huang, Amir Tamrakar
    http://arxiv.org/abs/2012.01461v1

    • [cs.CV]Aerial Imagery Pixel-level Segmentation
    Michael R. Heffels, Joaquin Vanschoren
    http://arxiv.org/abs/2012.02024v1

    • [cs.CV]Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
    Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang
    http://arxiv.org/abs/2012.01806v1

    • [cs.CV]Attributes Aware Face Generation with Generative Adversarial Networks
    Zheng Yuan, Jie Zhang, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/2012.01782v1

    • [cs.CV]AutoInt: Automatic Integration for Fast Neural Volume Rendering
    David B. Lindell, Julien N. P. Martel, Gordon Wetzstein
    http://arxiv.org/abs/2012.01714v1

    • [cs.CV]BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
    Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy
    http://arxiv.org/abs/2012.02181v1

    • [cs.CV]Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering
    Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch
    http://arxiv.org/abs/2012.01768v1

    • [cs.CV]Braille to Text Translation for Bengali Language: A Geometric Approach
    Minhas Kamal, Dr. Amin Ahsan Ali, Dr. Muhammad Asif Hossain Khan, Dr. Mohammad Shoyaib
    http://arxiv.org/abs/2012.01494v1

    • [cs.CV]Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
    Tiancai Wang, Tong Yang, Jiale Cao, Xiangyu Zhang
    http://arxiv.org/abs/2012.01950v1

    • [cs.CV]Contour Transformer Network for One-shot Segmentation of Anatomical Structures
    Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao
    http://arxiv.org/abs/2012.01480v1

    • [cs.CV]D-Unet: A Dual-encoder U-Net for Image Splicing Forgery Detection and Localization
    Xiuli Bi, Yanbin Liu, Bin Xiao, Weisheng Li, Chi-Man Pun, Guoyin Wang, Xinbo Gao
    http://arxiv.org/abs/2012.01821v1

    • [cs.CV]Data-driven Analysis of Turbulent Flame Images
    Rathziel Roncancio, Jupyoung Kim, Aly El Gamal, Jay P. Gore
    http://arxiv.org/abs/2012.01485v1

    • [cs.CV]DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion
    Arda Düzçeker, Silvano Galliani, Christoph Vogel, Pablo Speciale, Mihai Dusmanu, Marc Pollefeys
    http://arxiv.org/abs/2012.02177v1

    • [cs.CV]Differential Morphed Face Detection Using Deep Siamese Networks
    Sobhan Soleymani, Baaria Chaudhary, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi
    http://arxiv.org/abs/2012.01541v1

    • [cs.CV]Dual Refinement Feature Pyramid Networks for Object Detection
    Jialiang Ma, Bin Chen
    http://arxiv.org/abs/2012.01733v1

    • [cs.CV]Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images
    Qing Liu, Haotian Liu, Yixiong Liang
    http://arxiv.org/abs/2012.01665v1

    • [cs.CV]Essential Features: Reducing the Attack Surface of Adversarial Perturbations with Robust Content-Aware Image Preprocessing
    Ryan Feng, Wu-chi Feng, Atul Prakash
    http://arxiv.org/abs/2012.01699v1

    • [cs.CV]Fair Attribute Classification through Latent Space De-biasing
    Vikram V. Ramaswamy, Sunnis S. Y. Kim, Olga Russakovsky
    http://arxiv.org/abs/2012.01469v1

    • [cs.CV]Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks
    Davis Wertheimer, Luming Tang, Bharath Hariharan
    http://arxiv.org/abs/2012.01506v1

    • [cs.CV]From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting
    Karttikeya Mangalam, Yang An, Harshayu Girase, Jitendra Malik
    http://arxiv.org/abs/2012.01526v1

    • [cs.CV]From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation
    Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
    http://arxiv.org/abs/2012.01558v1

    • [cs.CV]Full-Resolution Correspondence Learning for Image Translation
    Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen
    http://arxiv.org/abs/2012.02047v1

    • [cs.CV]Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline
    Hazem Rashed, Eslam Mohamed, Ganesh Sistu, Varun Ravi Kumar, Ciaran Eising, Ahmad El-Sallab, Senthil Yogamani
    http://arxiv.org/abs/2012.02124v1

    • [cs.CV]Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction
    Tiffany Yau, Saber Malekmohammadi, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo
    http://arxiv.org/abs/2012.02148v1

    • [cs.CV]Holistic 3D Human and Scene Mesh Estimation from Single View Images
    Zhenzhen Weng, Serena Yeung
    http://arxiv.org/abs/2012.01591v1

    • [cs.CV]IMAGO: A family photo album dataset for a socio-historical analysis of the twentieth century
    Lorenzo Stacchio, Alessia Angeli, Giuseppe Lisanti, Daniela Calanca, Gustavo Marfia
    http://arxiv.org/abs/2012.01955v1

    • [cs.CV]Image inpainting using frequency domain priors
    Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto
    http://arxiv.org/abs/2012.01832v1

    • [cs.CV]Interpretable Graph Capsule Networks for Object Recognition
    Jindong Gu, Volker Tresp
    http://arxiv.org/abs/2012.01674v1

    • [cs.CV]Learned Initializations for Optimizing Coordinate-Based Neural Representations
    Matthew Tancik, Ben Mildenhall, Terrance Wang, Divi Schmidt, Pratul P. Srinivasan, Jonathan T. Barron, Ren Ng
    http://arxiv.org/abs/2012.02189v1

    • [cs.CV]Learning Hyperbolic Representations for Unsupervised 3D Segmentation
    Joy Hsu, Jeffrey Gu, Gong-Her Wu, Wah Chiu, Serena Yeung
    http://arxiv.org/abs/2012.01644v1

    • [cs.CV]Learning Two-Stream CNN for Multi-Modal Age-related Macular Degeneration Categorization
    Weisen Wang, Xirong Li, Zhiyan Xu, Weihong Yu, Jianchun Zhao, Dayong Ding, Youxin Chen
    http://arxiv.org/abs/2012.01879v1

    • [cs.CV]Learning to Transfer Visual Effects from Videos to Images
    Christopher Thomas, Yale Song, Adriana Kovashka
    http://arxiv.org/abs/2012.01642v1

    • [cs.CV]Make One-Shot Video Object Segmentation Efficient Again
    Tim Meinhardt, Laura Leal-Taixe
    http://arxiv.org/abs/2012.01866v1

    • [cs.CV]MakeupBag: Disentangling Makeup Extraction and Application
    Dokhyam Hoshen
    http://arxiv.org/abs/2012.02157v1

    • [cs.CV]Meta-Generating Deep Attentive Metric for Few-shot Classification
    Lei Zhang, Fei Zhou, Wei Wei, Yanning Zhang
    http://arxiv.org/abs/2012.01641v1

    • [cs.CV]Motion-based Camera Localization System in Colonoscopy Videos
    Heming Yao, Ryan W. Stidham, Jonathan Gryak, Kayvan Najarian
    http://arxiv.org/abs/2012.01690v1

    • [cs.CV]Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion
    Haijin Zeng, Sheng Liu, Jifeng Ning
    http://arxiv.org/abs/2012.01918v1

    • [cs.CV]Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment
    Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun
    http://arxiv.org/abs/2012.02175v1

    • [cs.CV]Multiple Networks are More Efficient than One: Fast and Accurate Models via Ensembles and Cascades
    Xiaofang Wang, Dan Kondratyuk, Kris M. Kitani, Yair Movshovitz-Attias, Elad Eban
    http://arxiv.org/abs/2012.01988v1

    • [cs.CV]Mutual Information Maximization on Disentangled Representations for Differential Morph Detection
    Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, Jeremy Dawson, Nasser M. Nasrabadi
    http://arxiv.org/abs/2012.01542v1

    • [cs.CV]Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction
    Aljaž Božič, Pablo Palafox, Michael Zollhöfer, Justus Thies, Angela Dai, Matthias Nießner
    http://arxiv.org/abs/2012.01451v1

    • [cs.CV]Neural Prototype Trees for Interpretable Fine-grained Image Recognition
    Meike Nauta, Ron van Bree, Christin Seifert
    http://arxiv.org/abs/2012.02046v1

    • [cs.CV]Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection
    Ping-Yang Chen, Ming-Ching Chang, Jun-Wei Hsieh, Yong-Sheng Chen
    http://arxiv.org/abs/2012.01724v1

    • [cs.CV]Patch2Pix: Epipolar-Guided Pixel-Level Correspondences
    Qunjie Zhou, Torsten Sattler, Laura Leal-Taixe
    http://arxiv.org/abs/2012.01909v1

    • [cs.CV]Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks
    Khaled Saleh
    http://arxiv.org/abs/2012.01757v1

    • [cs.CV]Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization
    Suhas Lohit, Rushil Anirudh, Pavan Turaga
    http://arxiv.org/abs/2012.02043v1

    • [cs.CV]Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
    Ankit Goyal, Kaiyu Yang, Dawei Yang, Jia Deng
    http://arxiv.org/abs/2012.01634v1

    • [cs.CV]Reliable Model Compression via Label-Preservation-Aware Loss Functions
    Vinu Joseph, Shoaib Ahmed Siddiqui, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Sheraz Ahmed, Andreas Dengel
    http://arxiv.org/abs/2012.01604v1

    • [cs.CV]Robust Instance Segmentation through Reasoning about Multi-Object Occlusion
    Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan Yuille
    http://arxiv.org/abs/2012.02107v1

    • [cs.CV]SAFCAR: Structured Attention Fusion for Compositional Action Recognition
    Tae Soo Kim, Gregory D. Hager
    http://arxiv.org/abs/2012.02109v1

    • [cs.CV]SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning
    John Cai, Bill Cai, Sheng Mei Shen
    http://arxiv.org/abs/2012.01784v1

    • [cs.CV]Self-labeled Conditional GANs
    Mehdi Noroozi
    http://arxiv.org/abs/2012.02162v1

    • [cs.CV]Single-shot Path Integrated Panoptic Segmentation
    Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim
    http://arxiv.org/abs/2012.01632v1

    • [cs.CV]Sparse Semi-Supervised Action Recognition with Active Learning
    Jingyuan Li, Eli Shlizerman
    http://arxiv.org/abs/2012.01740v1

    • [cs.CV]Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision
    Rongqin Liang, Yuanman Li, Xia Li, yi tang, Jiantao Zhou, Wenbin Zou
    http://arxiv.org/abs/2012.01884v1

    • [cs.CV]Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization
    Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao
    http://arxiv.org/abs/2012.01654v1

    • [cs.CV]Towards Part-Based Understanding of RGB-D Scans
    Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai
    http://arxiv.org/abs/2012.02094v1

    • [cs.CV]Understanding Failures of Deep Networks via Robust Feature Extraction
    Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
    http://arxiv.org/abs/2012.01750v1

    • [cs.CV]Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation
    Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/2012.01511v1

    • [cs.CV]Video Anomaly Detection by Estimating Likelihood of Representations
    Yuqi Ouyang, Victor Sanchez
    http://arxiv.org/abs/2012.01468v1

    • [cs.CV]Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization
    Shir Gur, Ameen Ali, Lior Wolf
    http://arxiv.org/abs/2012.02166v1

    • [cs.CV]pixelNeRF: Neural Radiance Fields from One or Few Images
    Alex Yu, Vickie Ye, Matthew Tancik, Angjoo Kanazawa
    http://arxiv.org/abs/2012.02190v1

    • [cs.CY]COVID-19 Contact Tracing and Privacy: A Longitudinal Study of Public Opinion
    Lucy Simko, Jack Lucas Chang, Maggie Jiang, Ryan Calo, Franziska Roesner, Tadayoshi Kohno
    http://arxiv.org/abs/2012.01553v1

    • [cs.CY]Digital Landscape of COVID-19 Testing: Challenges and Opportunities
    Darshan Gandhi, Rohan Sukumaran, Priyanshi Katiyar, Alex Radunsky, Sunaina Anand, Shailesh Advani, Jil Kothari, Kasia Jakimowicz, Sheshank Shankar, Sethuraman T. V., Krutika Misra, Aishwarya Saxena, Sanskruti Landage, Richa Sonker, Parth Patwa, Aryan Mahindra, Mikhail Dmitrienko, Kanishka Vaish, Ashley Mehra, Srinidhi Murali, Rohan Iyer, Joseph Bae, Vivek Sharma, Abhishek Singh, Rachel Barbar, Ramesh Raskar
    http://arxiv.org/abs/2012.01772v1

    • [cs.CY]Effective Feedback for Introductory CS Theory: A JFLAP Extension and Student Persistence
    Ivona Bezáková, Kimberly Fluet, Edith Hemaspaandra, Hannah Miller, David E. Narváez
    http://arxiv.org/abs/2012.01546v1

    • [cs.CY]Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning
    Kendra Albert, Maggie Delano, Jonathon Penney, Afsaneh Rigot, Ram Shankar Siva Kumar
    http://arxiv.org/abs/2012.02048v1

    • [cs.CY]IBM Employee Attrition Analysis
    Shenghuan Yang, Pradeep Ravikumar, Timothy Shi
    http://arxiv.org/abs/2012.01286v2

    • [cs.DB]Fast Track: Synchronized Behavior Detection in Streaming Tensors
    Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng
    http://arxiv.org/abs/2012.02006v1

    • [cs.DC]Comparison Graphs: a Unified Method for Uniformity Testing
    Uri Meir
    http://arxiv.org/abs/2012.01882v1

    • [cs.DC]Distributed algorithms for fractional coloring
    Nicolas Bousquet, Louis Esperet, François Pirot
    http://arxiv.org/abs/2012.01752v1

    • [cs.DC]Dynamic Asynchronous Iterations
    Matthew L. Daggitt, Timothy G. Griffin
    http://arxiv.org/abs/2012.01686v1

    • [cs.DC]Graph Surfing in Reaction Systems from a Categorial Perspective
    Hans-Jörg Kreowski, Aaron Lye
    http://arxiv.org/abs/2012.01659v1

    • [cs.DC]Leaderless Byzantine Fault Tolerant Consensus
    Jianyu Niu, Chen Feng
    http://arxiv.org/abs/2012.01636v1

    • [cs.DC]The 10 Research Topics in the Internet of Things
    Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Dai Hoang Tran, Munazza Zaib, Salma Abdalla Hamad, Abdulwahab Aljubairy, Ahoud Abdulrahmn F. Alhazmi, Subhash Sagar, Congbo Ma
    http://arxiv.org/abs/2012.01594v1

    • [cs.DS]Robustly Learning Mixtures of $k$ Arbitrary Gaussians
    Ainesh Bakshi, Ilias Diakonikolas, He Jia, Daniel M. Kane, Pravesh K. Kothari, Santosh S. Vempala
    http://arxiv.org/abs/2012.02119v1

    • [cs.GR]LookOut! Interactive Camera Gimbal Controller for Filming Long Takes
    Mohamed Sayed, Robert Cinca, Enrico Costanza, Gabriel Brostow
    http://arxiv.org/abs/2012.02087v1

    • [cs.GT]On the Impossibility of Convergence of Mixed Strategies with No Regret Learning
    Vidya Muthukumar, Soham Phade, Anant Sahai
    http://arxiv.org/abs/2012.02125v1

    • [cs.HC]NICER: Aesthetic Image Enhancement with Humans in the Loop
    Michael Fischer, Konstantin Kobs, Andreas Hotho
    http://arxiv.org/abs/2012.01778v1

    • [cs.IR]A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning
    Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Zhanwei Zhang, Yu Lan, Chao Shen
    http://arxiv.org/abs/2012.01635v1

    • [cs.IT]A Novel 3D Non-Stationary Multi-Frequency Multi-Link Wideband MIMO Channel Model
    Li Zhang, Xinyue Chen, Zihao Zhou, Cheng-Xiang Wang, Chun Pan, Yungui Wang
    http://arxiv.org/abs/2012.01728v1

    • [cs.IT]Compressive Privatization: Sparse Distribution Estimation under Locally Differentially Privacy
    Zhongzheng Xiong, Zengfeng Huang, Xiaojun Mao, Jian Wang, Shan Ying
    http://arxiv.org/abs/2012.02081v1

    • [cs.IT]Decoding Multivariate Multiplicity Codes on Product Sets
    Siddharth Bhandari, Prahladh Harsha, Mrinal Kumar, Madhu Sudan
    http://arxiv.org/abs/2012.01530v1

    • [cs.IT]Iterative Detection and Decoding of Finite-Length Polar Codes in Gaussian Multiple Access Channels
    Moustafa Ebada, Sebastian Cammerer, Ahmed Elkelesh, Marvin Geiselhart, Stephan ten Brink
    http://arxiv.org/abs/2012.01075v2

    • [cs.IT]Position Information from Single-Bounce Reflections
    Anastasios Kakkavas, Mario H. Castañeda García, Gonzalo Seco-Granados, Henk Wymeersch, Richard A. Stirling-Gallacher, Josef A. Nossek
    http://arxiv.org/abs/2012.01597v1

    • [cs.IT]Power Allocation and Parameter Estimation for Multipath-based 5G Positioning
    Anastasios Kakkavas, Henk Wymeersch, Gonzalo Seco-Granados, Mario H. Castañeda García, Richard A. Stirling-Gallacher, Josef A. Nossek
    http://arxiv.org/abs/2012.01590v1

    • [cs.IT]Simple Closed-Form Approximations for Achievable Information Rates of Coded Modulation Systems
    Maria Urlea, Sergey Loyka
    http://arxiv.org/abs/2012.01589v1

    • [cs.IT]Sparse Array of Sub-surface Aided Anti-blockage mmWave Communication Systems
    Weicong Chen, Xi Yang, Shi Jin, Pingping Xu
    http://arxiv.org/abs/2012.01891v1

    • [cs.IT]State Masking Over a Two-State Compound Channel
    Sadaf Salehkalaibar, Mohammad Hossein Yassaee, Vincent Y. F. Tan, Mehrasa Ahmadipour
    http://arxiv.org/abs/2012.01706v1

    • [cs.LG]A Novel index-based multidimensional data organization model that enhances the predictability of the machine learning algorithms
    Mahbubur Rahman
    http://arxiv.org/abs/2012.02007v1

    • [cs.LG]A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm
    Gersende Fort, Eric Moulines, Hoi-To Wai
    http://arxiv.org/abs/2012.01929v1

    • [cs.LG]A Study on the Autoregressive and non-Autoregressive Multi-label Learning
    Elham J. Barezi, Iacer Calixto, Kyunghyun Cho, Pascale Fung
    http://arxiv.org/abs/2012.01711v1

    • [cs.LG]An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks
    Giuseppe Ughi, Vinayak Abrol, Jared Tanner
    http://arxiv.org/abs/2012.01901v1

    • [cs.LG]Approximate kNN Classification for Biomedical Data
    Panagiotis Anagnostou, Petros T. Barmbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
    http://arxiv.org/abs/2012.02149v1

    • [cs.LG]Asymptotic convergence rate of Dropout on shallow linear neural networks
    Albert Senen-Cerda, Jaron Sanders
    http://arxiv.org/abs/2012.01978v1

    • [cs.LG]Automatic Routability Predictor Development Using Neural Architecture Search
    Jingyu Pan, Chen-Chia Chang, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chung-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen
    http://arxiv.org/abs/2012.01737v1

    • [cs.LG]Competition analysis on the over-the-counter credit default swap market
    Louis Abraham
    http://arxiv.org/abs/2012.01883v1

    • [cs.LG]DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems
    Vincent Gripon, Carlos Lassance, Ghouthi Boukli Hacene
    http://arxiv.org/abs/2012.01509v1

    • [cs.LG]Deep Spectral CNN for Laser Induced Breakdown Spectroscopy
    Juan Castorena, Diane Oyen, Ann Ollila, Carey Legget, Nina Lanza
    http://arxiv.org/abs/2012.01653v1

    • [cs.LG]Deep learning collocation method for solid mechanics: Linear elasticity, hyperelasticity, and plasticity as examples
    Diab W. Abueidda, Qiyue Lu, Seid Koric
    http://arxiv.org/abs/2012.01547v1

    • [cs.LG]DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games
    Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
    http://arxiv.org/abs/2012.01914v1

    • [cs.LG]Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications
    S. Hu, X. Chen, W. Ni, E. Hossain, X. Wang
    http://arxiv.org/abs/2012.01489v1

    • [cs.LG]Distributed Training and Optimization Of Neural Networks
    Jean-Roch Vlimant, Junqi Yin
    http://arxiv.org/abs/2012.01839v1

    • [cs.LG]Domain Adaptation with Incomplete Target Domains
    Zhenpeng Li, Jianan Jiang, Yuhong Guo, Tiantian Tang, Chengxiang Zhuo, Jieping Ye
    http://arxiv.org/abs/2012.01606v1

    • [cs.LG]Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug Repurposing
    Siddhant Doshi, Sundeep Prabhakar Chepuri
    http://arxiv.org/abs/2012.02151v1

    • [cs.LG]Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning
    Wen Wu, Nan Chen, Conghao Zhou, Mushu Li, Xuemin Shen, Weihua Zhuang, Xu Li
    http://arxiv.org/abs/2012.01991v1

    • [cs.LG]Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
    Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre Bayen, Stuart Russell, Andrew Critch, Sergey Levine
    http://arxiv.org/abs/2012.02096v1

    • [cs.LG]FAT: Federated Adversarial Training
    Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Beat Buesser
    http://arxiv.org/abs/2012.01791v1

    • [cs.LG]FairBatch: Batch Selection for Model Fairness
    Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh
    http://arxiv.org/abs/2012.01696v1

    • [cs.LG]FenceBox: A Platform for Defeating Adversarial Examples with Data Augmentation Techniques
    Han Qiu, Yi Zeng, Tianwei Zhang, Yong Jiang, Meikang Qiu
    http://arxiv.org/abs/2012.01701v1

    • [cs.LG]Graph Neural Networks for Improved El Niño Forecasting
    Salva Rühling Cachay, Emma Erickson, Arthur Fender C. Bucker, Ernest Pokropek, Willa Potosnak, Salomey Osei, Björn Lütjens
    http://arxiv.org/abs/2012.01598v1

    • [cs.LG]Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression
    Ian Covert, Su-In Lee
    http://arxiv.org/abs/2012.01536v1

    • [cs.LG]Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit
    Nikolai Karpov, Qin Zhang
    http://arxiv.org/abs/2012.01499v1

    • [cs.LG]Interpretability and Explainability: A Machine Learning Zoo Mini-tour
    Ričards Marcinkevičs, Julia E. Vogt
    http://arxiv.org/abs/2012.01805v1

    • [cs.LG]Machine learning prediction of critical transition and system collapse
    Ling-Wei Kong, Hua-Wei Fan, Celso Grebogi, Ying-Cheng Lai
    http://arxiv.org/abs/2012.01545v1

    • [cs.LG]Manifold Learning and Deep Clustering with Local Dictionaries
    Pranay Tankala, Abiy Tasissa, James M. Murphy, Demba Ba
    http://arxiv.org/abs/2012.02134v1

    • [cs.LG]Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding
    Jiechao Guan, Zhiwu Lu, Tao Xiang, Timothy Hospedales
    http://arxiv.org/abs/2012.01602v1

    • [cs.LG]Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning
    Weiming Liu, Bin Li, Julian Togelius
    http://arxiv.org/abs/2012.01870v1

    • [cs.LG]Neural Contextual Bandits with Deep Representation and Shallow Exploration
    Pan Xu, Zheng Wen, Handong Zhao, Quanquan Gu
    http://arxiv.org/abs/2012.01780v1

    • [cs.LG]Neural Network Approximations of Compositional Functions With Applications to Dynamical Systems
    Wei Kang, Qi Gong
    http://arxiv.org/abs/2012.01698v1

    • [cs.LG]On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering
    Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan
    http://arxiv.org/abs/2012.01577v1

    • [cs.LG]Online learning with dynamics: A minimax perspective
    Kush Bhatia, Karthik Sridharan
    http://arxiv.org/abs/2012.01705v1

    • [cs.LG]Recursive Tree Grammar Autoencoders
    Benjamin Paassen, Irena Koprinska, Kalina Yacef
    http://arxiv.org/abs/2012.02097v1

    • [cs.LG]Regularization via Adaptive Pairwise Label Smoothing
    Hongyu Guo
    http://arxiv.org/abs/2012.01559v1

    • [cs.LG]ResPerfNet: Deep Residual Learning for Regressional Performance Modeling of Deep Neural Networks
    Chuan-Chi Wang, Ying-Chiao Liao, Chia-Heng Tu, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung
    http://arxiv.org/abs/2012.01671v1

    • [cs.LG]Robust Federated Learning with Noisy Labels
    Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim
    http://arxiv.org/abs/2012.01700v1

    • [cs.LG]SSGD: A safe and efficient method of gradient descent
    Jinhuan Duan, Xianxian Li, Shiqi Gao, Jinyan Wang, Zili Zhong
    http://arxiv.org/abs/2012.02076v1

    • [cs.LG]Sample Complexity of Policy Gradient Finding Second-Order Stationary Points
    Long Yang, Qian Zheng, Gang Pan
    http://arxiv.org/abs/2012.01491v1

    • [cs.LG]Second-Order Guarantees in Federated Learning
    Stefan Vlaski, Elsa Rizk, Ali H. Sayed
    http://arxiv.org/abs/2012.01474v1

    • [cs.LG]Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
    Kien Do, Truyen Tran, Svetha Venkatesh
    http://arxiv.org/abs/2012.01793v1

    • [cs.LG]Stochastic Adversarial Gradient Embedding for Active Domain Adaptation
    Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot
    http://arxiv.org/abs/2012.01843v1

    • [cs.LG]Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style Adaptive Momentum
    Bao Wang, Qiang Ye
    http://arxiv.org/abs/2012.02188v1

    • [cs.LG]Towards Repairing Neural Networks Correctly
    Guoliang Dong, Jun Sun, Jingyi Wang, Xinyu Wang, Ting Dai
    http://arxiv.org/abs/2012.01872v1

    • [cs.LG]Traffic4cast 2020 — Graph Ensemble Net and the Importance of Feature And Loss Function Design for Traffic Prediction
    Qi Qi, Pak Hay Kwok
    http://arxiv.org/abs/2012.02115v1

    • [cs.LG]Transfer Learning as an Enabler of the Intelligent Digital Twin
    Benjamin Maschler, Dominik Braun, Nasser Jazdi, Michael Weyrich
    http://arxiv.org/abs/2012.01913v1

    • [cs.LG]Using Cross-Loss Influence Functions to Explain Deep Network Representations
    Andrew Silva, Rohit Chopra, Matthew Gombolay
    http://arxiv.org/abs/2012.01685v1

    • [cs.LG]Value Alignment Verification
    Daniel S. Brown, Jordan Schneider, Scott Niekum
    http://arxiv.org/abs/2012.01557v1

    • [cs.LG]What Makes a Star Teacher? A Hierarchical BERT Model for Evaluating Teacher’s Performance in Online Education
    Wen Wang, Honglei Zhuang, Mi Zhou, Hanyu Liu, Beibei Li
    http://arxiv.org/abs/2012.01633v1

    • [cs.LO]Reversibility and Composition of Rewriting in Hierarchies
    Russ Harmer, Eugenia Oshurko
    http://arxiv.org/abs/2012.01661v1

    • [cs.NE]A journey in ESN and LSTM visualisations on a language task
    Alexandre Variengien, Xavier Hinaut
    http://arxiv.org/abs/2012.01748v1

    • [cs.NE]Computational characteristics of feedforward neural networks for solving a stiff differential equation
    Toni Schneidereit, Michael Breuß
    http://arxiv.org/abs/2012.01867v1

    • [cs.NE]Scalable Transfer Evolutionary Optimization: Coping with Big Task Instances
    Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong
    http://arxiv.org/abs/2012.01830v1

    • [cs.NI]Multi-Path Routing on the Jellyfish Networks
    Zaid ALzaid, Xin Yuan, Saptarshi Bhowmik
    http://arxiv.org/abs/2012.02131v1

    • [cs.RO]Cycloidal Trajectory Realization on Staircase with Optimal Trajectory Tracking Control based on Neural Network Temporal Quantized Lagrange Dynamics (NNTQLD)
    Gaurav Bhardwaj, Utkarsh A. Mishra, N. Sukavanam, R. Balasubramanian
    http://arxiv.org/abs/2012.01417v1

    • [cs.RO]Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping
    Daniel Bauer, Lars Kuhnert, Lutz Eckstein
    http://arxiv.org/abs/2012.02111v1

    • [cs.RO]Estimation of Trocar and Tool Interaction Forces on the da Vinci ResearchKit with Two-Step Deep Learning
    Jie Ying Wu, Nural Yilmaz, Peter Kazanzides, Ugur Tumerdem
    http://arxiv.org/abs/2012.01479v1

    • [cs.RO]Fast-reactive probabilistic motion planning for high-dimensional robots
    Siyu Dai, Andreas Hofmann, Brian C. Williams
    http://arxiv.org/abs/2012.02118v1

    • [cs.RO]Goal-Driven Robotic Pushing Using Tactile and Proprioceptive Feedback
    John Lloyd, Nathan F. Lepora
    http://arxiv.org/abs/2012.01859v1

    • [cs.RO]How to Formally Model Human in Collaborative Robotics
    Mehrnoosh Askarpour
    http://arxiv.org/abs/2012.01647v1

    • [cs.RO]Human Tactile Gesture Interpretation for Robotic Systems
    Elizabeth Bibit Bianchini, Kenneth Salisbury, Prateek Verma
    http://arxiv.org/abs/2012.01959v1

    • [cs.RO]Identification of Prototypical Task Executions Based on Smoothness as Basis of Human-to-Robot Kinematic Skill Transfer
    Jaime Maldonado, Christoph Zetzsche
    http://arxiv.org/abs/2012.01732v1

    • [cs.RO]Intervention Design for Effective Sim2Real Transfer
    Melissa Mozifian, Amy Zhang, Joelle Pineau, David Meger
    http://arxiv.org/abs/2012.02055v1

    • [cs.RO]Material Recognition via Heat Transfer Given Ambiguous Initial Conditions
    Tapomayukh Bhattacharjee, Henry M. Clever, Joshua Wade, Charles C. Kemp
    http://arxiv.org/abs/2012.02176v1

    • [cs.RO]Multimodal Contact Detection using Auditory and Force Features for Reliable Object Placing in Household Environments
    Jaime Maldonado, Asil Kaan Bozcuoğlu, Christoph Zetzsche
    http://arxiv.org/abs/2012.01583v1

    • [cs.RO]Object-Driven Active Mapping for More Accurate Object Pose Estimation and Robotic Grasping
    Yanmin Wu, Yunzhou Zhang, Delong Zhu, Xin Chen, Sonya Coleman, Wenkai Sun, Xinggang Hu, Zhiqiang Deng
    http://arxiv.org/abs/2012.01788v1

    • [cs.RO]Obstacle Avoidance Using a Monocular Camera
    Kyle Hatch, John Mern, Mykel Kochenderfer
    http://arxiv.org/abs/2012.01608v1

    • [cs.RO]Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets
    Simon T. Isele, Marcel P. Schilling, Fabian E. Klein, Sascha Saralajew, J. Marius Zoellner
    http://arxiv.org/abs/2012.01993v1

    • [cs.RO]Relational Learning for Skill Preconditions
    Mohit Sharma, Oliver Kroemer
    http://arxiv.org/abs/2012.01693v1

    • [cs.RO]Singularity-free Guiding Vector Field for Robot Navigation
    Weijia Yao, Hector Garcia de Marina, Bohuan Lin, Ming Cao
    http://arxiv.org/abs/2012.01826v1

    • [cs.SD]Enhancement of Spatial Clustering-Based Time-Frequency Masks using LSTM Neural Networks
    Felix Grezes, Zhaoheng Ni, Viet Anh Trinh, Michael Mandel
    http://arxiv.org/abs/2012.01576v1

    • [cs.SD]MelGlow: Efficient Waveform Generative Network Based on Location-Variable Convolution
    Zhen Zeng, Jianzong Wang, Ning Cheng, Jing Xiao
    http://arxiv.org/abs/2012.01684v1

    • [cs.SD]Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial Training
    Haohan Guo, Heng Lu, Na Hu, Chunlei Zhang, Shan Yang, Lei Xie, Dan Su, Dong Yu
    http://arxiv.org/abs/2012.01837v1

    • [cs.SE]Explainable AI for Software Engineering
    Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John Grundy
    http://arxiv.org/abs/2012.01614v1

    • [cs.SE]SemMT: A Semantic-based Testing Approach for Machine Translation Systems
    Jialun Cao, Meiziniu Li, Yeting Li, Ming Wen, Shing-Chi Cheung
    http://arxiv.org/abs/2012.01815v1

    • [cs.SE]Towards Compositional Verification for Modular Robotic Systems
    Rafael C. Cardoso, Louise A. Dennis, Marie Farrell, Michael Fisher, Matt Luckcuck
    http://arxiv.org/abs/2012.01648v1

    • [cs.SE]YAP: Tool Support for Deriving Safety Controllers from Hazard Analysis and Risk Assessments
    Mario Gleirscher
    http://arxiv.org/abs/2012.01649v1

    • [cs.SI]Discriminatory Expressions to Produce Interpretable Models in Microblogging Context
    Manuel Francisco, Juan Luis Castro
    http://arxiv.org/abs/2012.02104v1

    • [cs.SI]Optimizing sensors placement in complex networks for localization of hidden signal source: A review
    Robert Paluch, Łukasz G. Gajewski, Janusz A. Hołyst, Boleslaw K. Szymanski
    http://arxiv.org/abs/2012.01876v1

    • [cs.SI]Predicting Misinformation and Engagement in COVID-19 Twitter Discourse in the First Months of the Outbreak
    Mirela Silva, Fabrício Ceschin, Prakash Shrestha, Christopher Brant, Juliana Fernandes, Catia S. Silva, André Grégio, Daniela Oliveira, Luiz Giovanini
    http://arxiv.org/abs/2012.02164v1

    • [cs.SI]Social Media Study of Public Opinions on Potential COVID-19 Vaccines: Informing Dissent, Disparities, and Dissemination
    Hanjia Lyu, Wei Wu, Junda Wang, Viet Duong, Xiyang Zhang, Jiebo Luo
    http://arxiv.org/abs/2012.02165v1

    • [cs.SI]Source location on multilayer networks
    Robert Paluch, Łukasz G. Gajewski, K. Suchecki, Janusz A. Hołyst
    http://arxiv.org/abs/2012.02023v1

    • [cs.SI]The Wedge Picking Model: A dynamic graph model based on triadic closure
    Sara Ahmadian, Shahrzad Haddadan
    http://arxiv.org/abs/2012.01691v1

    • [eess.AS]A Study of Few-Shot Audio Classification
    Piper Wolters, Chris Careaga, Brian Hutchinson, Lauren Phillips
    http://arxiv.org/abs/2012.01573v1

    • [eess.AS]Individually amplified text-to-speech
    Josef Schlittenlacher, Thomas Baer
    http://arxiv.org/abs/2012.02174v1

    • [eess.IV]An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT
    Zhipeng Li, Yong Long, Il Yong Chun
    http://arxiv.org/abs/2012.01986v1

    • [eess.IV]CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans
    Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah, Sun-Yuan Kung
    http://arxiv.org/abs/2012.01473v1

    • [eess.IV]Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation
    Toan Duc Bui, Manh Nguyen, Ngan Le, Khoa Luu
    http://arxiv.org/abs/2012.01777v1

    • [eess.IV]How to Exploit the Transferability of Learned Image Compression to Conventional Codecs
    Jan P. Klopp, Keng-Chi Liu, Liang-Gee Chen, Shao-Yi Chien
    http://arxiv.org/abs/2012.01874v1

    • [eess.IV]Localization of Malaria Parasites and White Blood Cells in Thick Blood Smears
    Rose Nakasi, Aminah Zawedde, Ernest Mwebaze, Jeremy Francis Tusubira, Gilbert Maiga
    http://arxiv.org/abs/2012.01994v1

    • [eess.IV]SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising
    Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian
    http://arxiv.org/abs/2012.01829v1

    • [eess.IV]Unsupervised Alternating Optimization for Blind Hyperspectral Imagery Super-resolution
    Jiangtao Nie, Lei Zhang, Wei Wei, Zhiqiang Lang, Yanning Zhang
    http://arxiv.org/abs/2012.01745v1

    • [eess.SP]Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers
    Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus
    http://arxiv.org/abs/2012.02160v1

    • [eess.SP]Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems
    Jianli Yu, Zhuliang Yu
    http://arxiv.org/abs/2012.01749v1

    • [eess.SP]Generating private data with user customization
    Xiao Chen, Thomas Navidi, Ram Rajagopal
    http://arxiv.org/abs/2012.01467v1

    • [eess.SP]Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming
    MinKeun Chung, Liang Liu, Andreas Johansson, Martin Nilsson, Olof Zander, Zhinong Ying, Fredrik Tufvesson, Ove Edfors
    http://arxiv.org/abs/2012.01584v1

    • [eess.SY]Fundamental Stealthiness-Distortion Tradeoffs in Dynamical (Control) Systems under Injection Attacks: A Power Spectral Analysis
    Song Fang, Quanyan Zhu
    http://arxiv.org/abs/2012.02009v1

    • [math.AG]Coloured Graphical Models and their Symmetries
    Isobel Davies, Orlando Marigliano
    http://arxiv.org/abs/2012.01905v1

    • [math.AP]Some observations on partial differential equations in Barron and multi-layer spaces
    Weinan E, Stephan Wojtowytsch
    http://arxiv.org/abs/2012.01484v1

    • [math.NA]Hotspot identification for Mapper graphs
    Ciara Frances Loughrey, Nick Orr, Anna Jurek-Loughrey, Paweł Dłotko
    http://arxiv.org/abs/2012.01868v1

    • [math.PR]Spectral Analysis of Word Statistics
    Chaim Even-Zohar, Tsviqa Lakrec, Ran J. Tessler
    http://arxiv.org/abs/2012.00742v2

    • [math.ST]General Behaviour of P-Values Under the Null and Alternative
    Yanbo Tang, Radu Craiu, Lei Sun
    http://arxiv.org/abs/2012.01697v1

    • [nlin.CG]Reconstructing cellular automata rules from observations at nonconsecutive times
    Veit Elser
    http://arxiv.org/abs/2012.02179v1

    • [physics.soc-ph]Locating the source of interacting signal in complex networks
    Robert Paluch, Krzysztof Suchecki, Janusz A. Hołyst
    http://arxiv.org/abs/2012.02039v1

    • [q-bio.BM]Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning
    Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot, Joe Phillips, Slim Said, Alexandre Laterre, Amine Kerkeni, Uğur Şahin, Karim Beguir
    http://arxiv.org/abs/2012.01736v1

    • [q-bio.PE]Entropy and Diversity: The Axiomatic Approach
    Tom Leinster
    http://arxiv.org/abs/2012.02113v1

    • [quant-ph]Classification and reconstruction of optical quantum states with deep neural networks
    Shahnawaz Ahmed, Carlos Sánchez Muñoz, Franco Nori, Anton Frisk Kockum
    http://arxiv.org/abs/2012.02185v1

    • [quant-ph]Quantum learning algorithms imply circuit lower bounds
    Srinivasan Arunachalam, Alex B. Grilo, Tom Gur, Igor C. Oliveira, Aarthi Sundaram
    http://arxiv.org/abs/2012.01920v1

    • [stat.AP]Assaying Large-scale Testing Models to Interpret Covid-19 Case Numbers. A Cross-country Study
    Michel Besserve, Simon Buchholz, Bernhard Schölkopf
    http://arxiv.org/abs/2012.01912v1

    • [stat.AP]Matrix Completion Methods for the Total Electron Content Video Reconstruction
    Hu Sun, Zhijun Hua, Jiaen Ren, Shasha Zou, Yuekai Sun, Yang Chen
    http://arxiv.org/abs/2012.01618v1

    • [stat.AP]Systematic errors in estimates of $R_t$ from symptomatic cases in the presence of observation bias
    Guido Sanguinetti
    http://arxiv.org/abs/2012.02105v1

    • [stat.AP]brolgar: An R package to BRowse Over Longitudinal Data Graphically and Analytically in R
    Nicholas J Tierney, Dianne Cook, Tania Prvan
    http://arxiv.org/abs/2012.01619v1

    • [stat.ME]A Generalized Heckman Model With Varying Sample Selection Bias and Dispersion Parameters
    Fernando de S. Bastos, Wagner Barreto-Souza, Marc G. Genton
    http://arxiv.org/abs/2012.01807v1

    • [stat.ME]A Note on Bayesian Modeling Specification of Censored Data in JAGS
    Xinyue Qi, Shouhao Zhou, Martyn Plummer
    http://arxiv.org/abs/2012.02074v1

    • [stat.ME]A semi-parametric model for target localization in distributed systems
    Rohit K. Patra, Moulinath Banerjee, George Michailidis
    http://arxiv.org/abs/2012.02025v1

    • [stat.ME]Doubly-robust evaluation of high-dimensional surrogate markers
    Denis Agniel, Layla Parast, Boris Hejblum
    http://arxiv.org/abs/2012.01236v2

    • [stat.ME]Filtering and improved Uncertainty Quantification in the dynamic estimation of effective reproduction numbers
    Marcos A. Capistrán, Antonio Capella, J. Andrés Christen
    http://arxiv.org/abs/2012.02168v1

    • [stat.ME]Forecast with Forecasts: Diversity Matters
    Yanfei Kang, Wei Cao, Fotios Petropoulos, Feng Li
    http://arxiv.org/abs/2012.01643v1

    • [stat.ME]Modeling Count Data via Copulas
    Hadi Safari-Katesari, S. Yaser Samadi, Samira Zaroudi
    http://arxiv.org/abs/2012.02021v1

    • [stat.ME]Multiply robust estimation of causal effects under principal ignorability
    Zhichao Jiang, Shu Yang, Peng Ding
    http://arxiv.org/abs/2012.01615v1

    • [stat.ME]Non-parametric Quantile Regression via the K-NN Fused Lasso
    Steven Siwei Ye, Oscar Hernan Madrid Padilla
    http://arxiv.org/abs/2012.01758v1

    • [stat.ME]On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression
    Rajdip Nayek, Ramon Fuentes, Keith Worden, Elizabeth J. Cross
    http://arxiv.org/abs/2012.01937v1

    • [stat.ME]Optimal Cox Regression Subsampling Procedure with Rare Events
    Nir Keret, Malka Gorfine
    http://arxiv.org/abs/2012.02122v1

    • [stat.ME]Robust functional principal components for sparse longitudinal data
    Graciela Boente, Matias Salibian-Barrera
    http://arxiv.org/abs/2012.01540v1

    • [stat.ME]Second order semi-parametric inference for multivariate log Gaussian Cox processes
    Kristian Bjørn Hessellund, Ganggang Xu, Yongtao Guan, Rasmus Waagepetersen
    http://arxiv.org/abs/2012.02155v1

    • [stat.ML]A similarity-based Bayesian mixture-of-experts model
    Tianfang Zhang, Rasmus Bokrantz, Jimmy Olsson
    http://arxiv.org/abs/2012.02130v1

    • [stat.ML]Integrable Nonparametric Flows
    David Pfau, Danilo Rezende
    http://arxiv.org/abs/2012.02035v1

    • [stat.ML]Online Forgetting Process for Linear Regression Models
    Yuantong Li, Chi-hua Wang, Guang Cheng
    http://arxiv.org/abs/2012.01668v1

    • [stat.ML]Sample-efficient L0-L2 constrained structure learning of sparse Ising models
    Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George
    http://arxiv.org/abs/2012.01744v1

    • [stat.ML]Towards an AI assistant for human grid operators
    Antoine Marot, Alexandre Rozier, Matthieu Dussartre, Laure Crochepierre, Benjamin Donnot
    http://arxiv.org/abs/2012.02026v1