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
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• [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