astro-ph.IM - 仪器仪表和天体物理学方法

    cond-mat.soft - 软凝聚物质 cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CE - 计算工程、 金融和科学 cs.CG - 计算几何学 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.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.MM - 多媒体 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 econ.EM - 计量经济学 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.CO - 组合数学 math.MG -公制几何 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.flu-dyn - 流体动力学 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

    • [astro-ph.IM]Experimental evaluation of complete safe coordination of astrobots for Sloan Digital Sky Survey V
    • [cond-mat.soft]Bayesian unsupervised learning reveals hidden structure in concentrated electrolytes
    • [cs.AI]AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction
    • [cs.AI]Building LEGO Using Deep Generative Models of Graphs
    • [cs.AI]CSKG: The CommonSense Knowledge Graph
    • [cs.AI]Can we learn where people come from? Retracing of origins in merging situations
    • [cs.AI]DynamicHS: Streamlining Reiter’s Hitting-Set Tree for Sequential Diagnosis
    • [cs.AI]Explaining Black-box Models for Biomedical Text Classification
    • [cs.AI]FlowDB a large scale precipitation, river, and flash flood dataset
    • [cs.AI]Get It Scored Using AutoSAS — An Automated System for Scoring Short Answers
    • [cs.AI]Infrared image pedestrian target detection based on Yolov3 and migration learning
    • [cs.AI]Learning by Fixing: Solving Math Word Problems with Weak Supervision
    • [cs.AI]Lexicographic Logic: a Many-valued Logic for Preference Representation
    • [cs.AI]Minimax Strikes Back
    • [cs.AI]Monte-Carlo Graph Search for AlphaZero
    • [cs.AI]On graded semantics of abstract argumentation: extension-based case
    • [cs.AI]Probabilistic Dependency Graphs
    • [cs.AI]Universal Policies for Software-Defined MDPs
    • [cs.AI]Who will accept my request? Predicting response of link initiation in two-way relation networks
    • [cs.AR]Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
    • [cs.CE]Quantifying the predictability of visual scanpaths using active information storage
    • [cs.CG]Escaping an Infinitude of Lions
    • [cs.CL]A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training
    • [cs.CL]A hybrid deep-learning approach for complex biochemical named entity recognition
    • [cs.CL]Adaptive Bi-directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension
    • [cs.CL]An End-to-End Document-Level Neural Discourse Parser Exploiting Multi-Granularity Representations
    • [cs.CL]Document-Level Relation Extraction with Reconstruction
    • [cs.CL]Domain specific BERT representation for Named Entity Recognition of lab protocol
    • [cs.CL]Finding Sparse Structure for Domain Specific Neural Machine Translation
    • [cs.CL]FraCaS: Temporal Analysis
    • [cs.CL]Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text Summarization
    • [cs.CL]Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection
    • [cs.CL]MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing
    • [cs.CL]Medical Entity Linking using Triplet Network
    • [cs.CL]Narrative Incoherence Detection
    • [cs.CL]On (Emergent) Systematic Generalisation and Compositionality in Visual Referential Games with Straight-Through Gumbel-Softmax Estimator
    • [cs.CL]Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems
    • [cs.CL]Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems
    • [cs.CL]TechTexC: Classification of Technical Texts using Convolution and Bidirectional Long Short Term Memory Network
    • [cs.CL]Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions
    • [cs.CL]Uncertainty-Aware Label Refinement for Sequence Labeling
    • [cs.CR]A closed form scale bound for the $(ε, δ)$-differentially private Gaussian Mechanism valid for all privacy regimes
    • [cs.CR]AWA: Adversarial Website Adaptation
    • [cs.CR]Confused Modulo Projection based Somewhat Homomorphic Encryption — Cryptosystem, Library and Applications on Secure Smart Cities
    • [cs.CR]DeepKeyGen: A Deep Learning-based Stream Cipher Generator for Medical Image Encryption and Decryption
    • [cs.CV]3D Object Detection with Pointformer
    • [cs.CV]A 3D GAN for Improved Large-pose Facial Recognition
    • [cs.CV]AVAE: Adversarial Variational Auto Encoder
    • [cs.CV]Accurate Object Association and Pose Updating for Semantic SLAM
    • [cs.CV]Amplifying the Anterior-Posterior Difference via Data Enhancement — A More Robust Deep Monocular Orientation Estimation Solution
    • [cs.CV]An Assessment of GANs for Identity-related Applications
    • [cs.CV]An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge
    • [cs.CV]Anchor-Based Spatial-Temporal Attention Convolutional Networks for Dynamic 3D Point Cloud Sequences
    • [cs.CV]Augmentation Inside the Network
    • [cs.CV]Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network
    • [cs.CV]BAF-Detector: An Efficient CNN-Based Detector for Photovoltaic Solar Cell Defect Detection
    • [cs.CV]Blurring Fools the Network — Adversarial Attacks by Feature Peak Suppression and Gaussian Blurring
    • [cs.CV]Camera-aware Proxies for Unsupervised Person Re-Identification
    • [cs.CV]Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses
    • [cs.CV]Centralized Information Interaction for Salient Object Detection
    • [cs.CV]Computer Vision based Accident Detection for Autonomous Vehicles
    • [cs.CV]Computer Vision based Animal Collision Avoidance Framework for Autonomous Vehicles
    • [cs.CV]Computer Vision based Tomography of Structures Using 3D Digital Image Correlation
    • [cs.CV]Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation
    • [cs.CV]DAQ: Distribution-Aware Quantization for Deep Image Super-Resolution Networks
    • [cs.CV]DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks
    • [cs.CV]Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation
    • [cs.CV]Deep Continuous Fusion for Multi-Sensor 3D Object Detection
    • [cs.CV]Dense Multiscale Feature Fusion Pyramid Networks for Object Detection in UAV-Captured Images
    • [cs.CV]Disease Forecast via Progression Learning
    • [cs.CV]Diverse Knowledge Distillation for End-to-End Person Search
    • [cs.CV]Dynamic Traffic Modeling From Overhead Imagery
    • [cs.CV]EMLight: Lighting Estimation via Spherical Distribution Approximation
    • [cs.CV]End-to-End Deep Structured Models for Drawing Crosswalks
    • [cs.CV]Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks
    • [cs.CV]From Points to Multi-Object 3D Reconstruction
    • [cs.CV]Fusion of CNNs and statistical indicators to improve image classification
    • [cs.CV]Geometric Scene Refocusing
    • [cs.CV]GlocalNet: Class-aware Long-term Human Motion Synthesis
    • [cs.CV]Guidance Module Network for Video Captioning
    • [cs.CV]High-Fidelity Neural Human Motion Transfer from Monocular Video
    • [cs.CV]Human 3D keypoints via spatial uncertainty modeling
    • [cs.CV]HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
    • [cs.CV]Identifying Invariant Texture Violation for Robust Deepfake Detection
    • [cs.CV]Image Annotation based on Deep Hierarchical Context Networks
    • [cs.CV]Image Translation via Fine-grained Knowledge Transfer
    • [cs.CV]Improving Unsupervised Image Clustering With Robust Learning
    • [cs.CV]Improving unsupervised anomaly localization by applying multi-scale memories to autoencoders
    • [cs.CV]KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA
    • [cs.CV]Knowledge Transfer Based Fine-grained Visual Classification
    • [cs.CV]Leaf Segmentation and Counting with Deep Learning: on Model Certainty, Test-Time Augmentation, Trade-Offs
    • [cs.CV]Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud
    • [cs.CV]Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning
    • [cs.CV]Learning content and context with language bias for Visual Question Answering
    • [cs.CV]Learning to Localize Through Compressed Binary Maps
    • [cs.CV]Learning to Localize Using a LiDAR Intensity Map
    • [cs.CV]Monocular Depth Parameterizing Networks
    • [cs.CV]Multi-Head Linear Attention Generative Adversarial Network for Thin Cloud Removal
    • [cs.CV]No Shadow Left Behind: Removing Objects and their Shadows using Approximate Lighting and Geometry
    • [cs.CV]Object-Centric Diagnosis of Visual Reasoning
    • [cs.CV]Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning
    • [cs.CV]Optimizing Deep Neural Networks through Neuroevolution with Stochastic Gradient Descent
    • [cs.CV]PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension
    • [cs.CV]PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning
    • [cs.CV]Physically Based Neural Simulator for Garment Animation
    • [cs.CV]Political Posters Identification with Appearance-Text Fusion
    • [cs.CV]Populating 3D Scenes by Learning Human-Scene Interaction
    • [cs.CV]Quantum Optical Convolutional Neural Network: A Novel Image Recognition Framework for Quantum Computing
    • [cs.CV]ResizeMix: Mixing Data with Preserved Object Information and True Labels
    • [cs.CV]Rethinking Road Surface 3D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation
    • [cs.CV]Robustness of Facial Recognition to GAN-based Face-morphing Attacks
    • [cs.CV]SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
    • [cs.CV]SMART Frame Selection for Action Recognition
    • [cs.CV]Searching for Controllable Image Restoration Networks
    • [cs.CV]Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
    • [cs.CV]Self-supervised monocular depth estimation from oblique UAV videos
    • [cs.CV]Semantic Audio-Visual Navigation
    • [cs.CV]Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks
    • [cs.CV]Sequence-to-Sequence Contrastive Learning for Text Recognition
    • [cs.CV]ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on
    • [cs.CV]Siamese Anchor Proposal Network for High-Speed Aerial Tracking
    • [cs.CV]Space ML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA
    • [cs.CV]Static object detection and segmentation in videos based on dual foregrounds difference with noise filtering
    • [cs.CV]The importance of silhouette optimization in 3D shape reconstruction system from multiple object scenes
    • [cs.CV]Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation
    • [cs.CV]Towards Automatic Digital Documentation and Progress Reporting of Mechanical Construction Pipes using Smartphones
    • [cs.CV]Towards the Localisation of Lesions in Diabetic Retinopathy
    • [cs.CV]Transductive Visual Verb Sense Disambiguation
    • [cs.CV]Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction
    • [cs.CV]Unsupervised Scale-Invariant Multispectral Shape Matching
    • [cs.CV]Visual Speech Enhancement Without A Real Visual Stream
    • [cs.CV]Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection
    • [cs.CY]Social Media COVID-19 Misinformation Interventions Viewed Positively, But Have Limited Impact
    • [cs.CY]Visuo-Locomotive Complexity as a Component of Parametric Systems for Architecture Design
    • [cs.DB]Parallel Index-Based Structural Graph Clustering and Its Approximation
    • [cs.DC]Achieving Operational Scalability Using Razee Continuous Deployment Model and Kubernetes Operators
    • [cs.DC]Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
    • [cs.DC]Game theory and Evolutionary-optimization methods applied to resource allocation problems in emerging computing environments: A survey
    • [cs.DC]Optimal Resilience in Systems that Mix Shared Memory and Message Passing
    • [cs.DC]RC-chain: Reputation-based Crowdsourcing Blockchain for Vehicular Networks
    • [cs.DC]TOPCAT Visualisation over the Web
    • [cs.DC]Towards Management of Energy Consumption in HPC Systems with Fault Tolerance
    • [cs.ET]Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization
    • [cs.ET]Modeling Silicon-Photonic Neural Networks under Uncertainties
    • [cs.HC]Mind the Gap: A Framework (BehaveFIT) Guiding The Use of Immersive Technologies in Behavior Change Processes
    • [cs.IR]Autoregressive Reasoning over Chains of Facts with Transformers
    • [cs.IR]Cross-domain Retrieval in the Legal and Patent Domains: a Reproducability Study
    • [cs.IR]New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution
    • [cs.IR]Self-Supervised Learning for Visual Summary Identification in Scientific Publications
    • [cs.IT]A Non-cooperative Game-based Distributed Beam Scheduling for 5G mm-Wave Networks
    • [cs.IT]Achieving positive rates with predetermined dictionaries
    • [cs.IT]Base Station Coordination Scheme for Multi-tier Ultra-dense Networks
    • [cs.IT]Communication and Localization with Extremely Large Lens Antenna Array
    • [cs.IT]Efficient Parallel Schemes for Cell-free Massive MIMO Using Radio Stripes
    • [cs.IT]Grant-Free Random Access in Machine-Type Communication: Approaches and Challenges
    • [cs.IT]Intelligent Reflecting Surfaces: Sum-Rate Optimization Based on Statistical CSI
    • [cs.IT]List-decodability with large radius for Reed-Solomon codes
    • [cs.IT]MDS linear codes with one dimensional hull
    • [cs.IT]Memory Approximate Message Passing
    • [cs.IT]Neural Joint Entropy Estimation
    • [cs.IT]Optimal Decoding of Convolutional Codes using a Linear State Space Control Formulation
    • [cs.IT]Perturbed Adaptive Belief Propagation Decoding for High-Density Parity-Check Codes
    • [cs.IT]Predictor Antenna: A Technique to Boost the Performance of Moving Relays
    • [cs.IT]Privacy Analysis of Online Learning Algorithms via Contraction Coefficients
    • [cs.IT]Reconfigurable Intelligent Surface assisted Multi-user Communications: How Many Reflective Elements Do We Need?
    • [cs.IT]Repairing Reed-Solomon Codes Evaluated on Subspaces
    • [cs.IT]Weighted Reed-Solomon convolutional codes
    • [cs.LG]A Bayesian methodology for localising acoustic emission sources in complex structures
    • [cs.LG]A Frequency And Phase Attention Based Deep Learning Framework For Partial Discharge Detection On Insulated Overhead Conductors
    • [cs.LG]A Graph Attention Based Approach for Trajectory Prediction in Multi-agent Sports Games
    • [cs.LG]A Meta-Learning Approach to the Optimal Power Flow Problem Under Topology Reconfigurations
    • [cs.LG]A Note on Graph-Based Nearest Neighbor Search
    • [cs.LG]A pipeline for fair comparison of graph neural networks in node classification tasks
    • [cs.LG]Alternating linear scheme in a Bayesian framework for low-rank tensor approximation
    • [cs.LG]An Information-Theoretic Framework for Unifying Active Learning Problems
    • [cs.LG]Analysis of NARXNN for State of Charge Estimation for Li-ion Batteries on various Drive Cycles
    • [cs.LG]Analyzing the Performance of Graph Neural Networks with Pipe Parallelism
    • [cs.LG]Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm
    • [cs.LG]Barking up the right tree: an approach to search over molecule synthesis DAGs
    • [cs.LG]Bayesian Semi-supervised Crowdsourcing
    • [cs.LG]Biased Models Have Biased Explanations
    • [cs.LG]Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure
    • [cs.LG]CAMTA: Casual Attention Model for Multi-touch Attribution
    • [cs.LG]Communication-Aware Collaborative Learning
    • [cs.LG]Data Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
    • [cs.LG]Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
    • [cs.LG]Design Rule Checking with a CNN Based Feature Extractor
    • [cs.LG]Evaluating Agents without Rewards
    • [cs.LG]Fairness, Welfare, and Equity in Personalized Pricing
    • [cs.LG]Fundamental Limits and Tradeoffs in Invariant Representation Learning
    • [cs.LG]GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
    • [cs.LG]Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances
    • [cs.LG]Genetic Adversarial Training of Decision Trees
    • [cs.LG]Hop-Hop Relation-aware Graph Neural Networks
    • [cs.LG]Knowledge as Invariance — History and Perspectives of Knowledge-augmented Machine Learning
    • [cs.LG]LQF: Linear Quadratic Fine-Tuning
    • [cs.LG]Learn molecular representations from large-scale unlabeled molecules for drug discovery
    • [cs.LG]Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
    • [cs.LG]Learning Halfspaces With Membership Queries
    • [cs.LG]LieTransformer: Equivariant self-attention for Lie Groups
    • [cs.LG]Machine learning applications using diffusion tensor imaging of human brain: A PubMed literature review
    • [cs.LG]Making transport more robust and interpretable by moving data through a small number of anchor points
    • [cs.LG]Model-Based Actor-Critic with Chance Constraint for Stochastic System
    • [cs.LG]Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
    • [cs.LG]Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems
    • [cs.LG]Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification
    • [cs.LG]NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-sourced Datasets
    • [cs.LG]Offline Reinforcement Learning from Images with Latent Space Models
    • [cs.LG]On Relating ‘Why?’ and ‘Why Not?’ Explanations
    • [cs.LG]On Success and Simplicity: A Second Look at Transferable Targeted Attacks
    • [cs.LG]On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise
    • [cs.LG]Optimising Placement of Pollution Sensors in Windy Environments
    • [cs.LG]Personalized fall detection monitoring system based on learning from the user movements
    • [cs.LG]Post-hoc Uncertainty Calibration for Domain Drift Scenarios
    • [cs.LG]Recent advances in deep learning theory
    • [cs.LG]Regularization in neural network optimization via trimmed stochastic gradient descent with noisy label
    • [cs.LG]Reinforcement Learning-based Product Delivery Frequency Control
    • [cs.LG]Sample Complexity of Adversarially Robust Linear Classification on Separated Data
    • [cs.LG]Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning
    • [cs.LG]Study of Energy-Efficient Distributed RLS-based Learning with Coarsely Quantized Signals
    • [cs.LG]Sub-Linear Memory: How to Make Performers SLiM
    • [cs.LG]Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks
    • [cs.LG]T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion
    • [cs.LG]The COVID pandemic: socioeconomic and health disparities
    • [cs.LG]The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
    • [cs.LG]Top-$k$ Ranking Bayesian Optimization
    • [cs.LG]Toward Understanding the Influence of Individual Clients in Federated Learning
    • [cs.LG]Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning
    • [cs.LG]Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration
    • [cs.LG]Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach
    • [cs.LG]Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape
    • [cs.LG]Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization
    • [cs.LG]Voting of predictive models for clinical outcomes: consensus of algorithms for the early prediction of sepsis from clinical data and an analysis of the PhysioNet/Computing in Cardiology Challenge 2019
    • [cs.LG]eTREE: Learning Tree-structured Embeddings
    • [cs.LO]Incremental Verification of Fixed-Point Implementations of Neural Networks
    • [cs.MA]Difference Rewards Policy Gradients
    • [cs.MM]Self-Supervision based Task-Specific Image Collection Summarization
    • [cs.NE]A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser
    • [cs.NE]Analyzing Dominance Move (MIP-DoM) Indicator for Multi- and Many-objective Optimization
    • [cs.NE]Online training for high-performance analogue readout layers in photonic reservoir computers
    • [cs.NE]Random pattern and frequency generation using a photonic reservoir computer with output feedback
    • [cs.NI]GrADyS: Exploring movement awareness for efficient routing in Ground-and-Air Dynamic Sensor Networks
    • [cs.NI]To Talk or to Work: Energy Efficient Federated Learning over Mobile Devices via the Weight Quantization and 5G Transmission Co-Design
    • [cs.RO]A Comparison of Three Measurement Models for the Wheel-mounted MEMS IMU-based Dead Reckoning System
    • [cs.RO]A Light Field Front-end for Robust SLAM in Dynamic Environments
    • [cs.RO]Analysis of Safe Ultrawideband Human-Robot Communication in Automated Collaborative Warehouse
    • [cs.RO]Crowd-Driven Mapping, Localization and Planning
    • [cs.RO]Data-Driven Geometric System Identification for Shape-Underactuated Dissipative Systems
    • [cs.RO]Forming Human-Robot Cooperation for Tasks with General Goal using Evolutionary Value Learning
    • [cs.RO]Humanoid Robot Pitch Axis Stabilization using Linear Quadratic Regulator with Fuzzy Logic and Capture Point
    • [cs.RO]Image-based Intraluminal Contact Force Monitoring in Robotic Vascular Navigation
    • [cs.RO]Mobile Robot Planner with Low-cost Cameras Using Deep Reinforcement Learning
    • [cs.RO]Path Planning and Obstacle Avoidance Scheme for Autonomous Robots using Raspberry Pi
    • [cs.RO]Rapid and High-Fidelity Subsurface Exploration with Multiple Aerial Robots
    • [cs.RO]Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation
    • [cs.RO]Reinforcement Learning based Multi-Robot Classification via Scalable Communication Structure
    • [cs.RO]Sensor-Based Temporal Logic Planning in Uncertain Semantic Maps
    • [cs.RO]Sim-to-real for high-resolution optical tactile sensing: From images to 3D contact force distributions
    • [cs.RO]Simulation Environment for Safety Assessment of CEAV Deployment in Linden
    • [cs.RO]Towards Complex and Continuous Manipulation: A Gesture Based Anthropomorphic Robotic Hand Design
    • [cs.RO]Weight-Based Exploration for Unmanned Aerial Teams Searching for Multiple Survivors
    • [cs.RO]Wheel-INS2: Multiple MEMS IMU-based Dead Reckoning System for Wheeled Robots with Evaluation of Different IMU Configurations
    • [cs.SD]Adjust-free adversarial example generation in speech recognition using evolutionary multi-objective optimization under black-box condition
    • [cs.SD]Multi-stream Convolutional Neural Network with Frequency Selection for Robust Speaker Verification
    • [cs.SE]Market-level Analysis of Government-backed COVID-19 Contact Tracing Apps
    • [cs.SI]Centrally Administered State-Owned Enterprises’ Engagement in China’s Public-Private Partnerships: A Social Network Analysis
    • [cs.SI]Comparing Suicide Risk Insights derived from Clinical and Social Media data
    • [cs.SI]Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content
    • [cs.SI]Unifying Homophily and Heterophily Network Transformation via Motifs
    • [econ.EM]Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
    • [econ.EM]Weak Identification with Bounds in a Class of Minimum Distance Models
    • [eess.AS]Unsupervised Cross-Lingual Speech Emotion Recognition Using DomainAdversarial Neural Network
    • [eess.IV]A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views?
    • [eess.IV]A Shift-insensitive Full Reference Image Quality Assessment Model Based on Quadratic Sum of Gradient Magnitude and LOG signals
    • [eess.IV]Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks
    • [eess.IV]Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review
    • [eess.IV]CCML: A Novel Collaborative Learning Model for Classification of Remote Sensing Images with Noisy Multi-Labels
    • [eess.IV]Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality
    • [eess.IV]Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays
    • [eess.IV]Deep Learning in Detection and Diagnosis of Covid-19 using Radiology Modalities: A Systematic Review
    • [eess.IV]MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation
    • [eess.IV]Recent Developments in Detection of Central Serous Retinopathy through Imaging and Artificial Intelligence Techniques A Review
    • [eess.SP]Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks
    • [eess.SP]Domain-adaptive Fall Detection Using Deep Adversarial Training
    • [eess.SP]Resting-state EEG sex classification using selected brain connectivity representation
    • [eess.SY]A Comprehensive Survey of Machine Learning Based Localization with Wireless Signals
    • [eess.SY]A Game Theoretic Perspective into the Coexistence of WiFi and NR-U at the 6GHz Unlicensed Bands
    • [eess.SY]Parameter Identification for Digital Fabrication: A Gaussian Process Learning Approach
    • [math.CO]Recursive methods for some problems in coding and random permutations
    • [math.MG]Family Ties: Relating Poncelet 3-Periodics by their Properties
    • [math.NA]Parallel Prony’s method with multivariate matrix pencil approach and its numerical aspect
    • [math.OC]On the Efficient Implementation of the Matrix Exponentiated Gradient Algorithm for Low-Rank Matrix Optimization
    • [math.PR]Copula Measures and Sklar’s Theorem in Arbitrary Dimensions
    • [math.PR]The level crossings of random sums
    • [math.ST]Aspects of optimality of plans orthogonal through other factors
    • [math.ST]Asymptotic distribution of certain degenerate V- and U-statistics with estimated parameters
    • [math.ST]Entropy-regularized optimal transport on multivariate normal and q-normal distributions
    • [math.ST]Fiducial inference then and now
    • [math.ST]Optimality of multi-way designs
    • [math.ST]Towards Conditional Path Analysis
    • [physics.flu-dyn]Auto-Encoded Reservoir Computing for Turbulence Learning
    • [quant-ph]Physical Implementability of Quantum Maps and Its Application in Error Mitigation
    • [quant-ph]Quantum reinforcement learning in continuous action space
    • [quant-ph]Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis
    • [stat.AP]A Bayesian State-Space Approach to Mapping Directional Brain Networks
    • [stat.AP]A Spatiotemporal Functional Model for Bike-Sharing Systems — An Example based on the City of Helsinki
    • [stat.AP]An Approach to Gender Pay Equity Analysis Using Bayesian Hierarchical Regression
    • [stat.AP]Anomaly detection and classification in traffic flow data from fluctuations in the flow-density relationship
    • [stat.AP]Nonstationarity Analysis of Materials Microstructures via Fisher Score Vectors
    • [stat.AP]The Evolution of Dynamic Gaussian Process Model with Applications to Malaria Vaccine Coverage Prediction
    • [stat.AP]The FLOod Probability Interpolation Tool (FLOPIT): Improving Spatial Flood Probability Quantification and Communication Through Higher Resolution Mapping
    • [stat.AP]Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors
    • [stat.ME]A comparison of learning rate selection methods in generalized Bayesian inference
    • [stat.ME]A critical review of LASSO and its derivatives for variable selection under dependence among covariates
    • [stat.ME]Bayesian Conditional Transformation Models
    • [stat.ME]Dimension-robust Function Space MCMC With Neural Network Priors
    • [stat.ME]Functional time series forecasting of extreme values
    • [stat.ME]High-Dimensional Spatial Quantile Function-on-Scalar Regression
    • [stat.ME]How to estimate the association between change in a risk factor and a health outcome?
    • [stat.ME]Identifying latent groups in spatial panel data using a Markov random field constrained product partition model
    • [stat.ME]Identifying the latent space geometry of network models through analysis of curvature
    • [stat.ME]Independent Approximates enabling closed-form estimation of heavy-tailed distributions
    • [stat.ME]Inference in experiments conditional on observed imbalances in covariates
    • [stat.ME]Measurement bias: a structure perspective
    • [stat.ME]Multilevel Approximation for Generalized Method of Moments Estimators
    • [stat.ME]On a length-biased Birnbaum-Saunders regression model applied to meteorological data
    • [stat.ME]Prevalence Estimation from Random Samples and Census Data with Participation Bias
    • [stat.ME]Revisiting ICH E9 (R1) during the COVID-19 pandemic
    • [stat.ME]Robust mixture regression with Exponential Power distribution
    • [stat.ME]Score Matched Conditional Exponential Families for Likelihood-Free Inference
    • [stat.ME]Statistical Modelling and Analysis of the Computer-Simulated Datasets
    • [stat.ME]TVOR: Finding Discrete Total Variation Outliers among Histograms
    • [stat.ME]Two-directional simultaneous inference for high-dimensional models
    • [stat.ME]Uncertainty on the Reproduction Ratio in the SIR Model
    • stat.ML tree ensemble based kernels for regression and classification
    • [stat.ML]Adversarial training for continuous robustness control problem in power systems
    • [stat.ML]Complexity of zigzag sampling algorithm for strongly log-concave distributions
    • [stat.ML]SPlit: An Optimal Method for Data Splitting
    • [stat.ML]Spatial Monte Carlo Integration with Annealed Importance Sampling
    • [stat.ML]Unfolded Algorithms for Deep Phase Retrieval
    • [stat.ML]Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework

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

    • [astro-ph.IM]Experimental evaluation of complete safe coordination of astrobots for Sloan Digital Sky Survey V
    Matin Macktoobian, Ricardo Araújo, Loïc Grossen, Luzius Kronig, Mohamed Bouri, Denis Gillet, Jean-Paul Kneib
    http://arxiv.org/abs/2012.10656v1

    • [cond-mat.soft]Bayesian unsupervised learning reveals hidden structure in concentrated electrolytes
    Penelope Jones, Fabian Coupette, Andreas Härtel, Alpha A. Lee
    http://arxiv.org/abs/2012.10694v1

    • [cs.AI]AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction
    Kai Wang, Chunxu Shen, Wenye Ma
    http://arxiv.org/abs/2012.10820v1

    • [cs.AI]Building LEGO Using Deep Generative Models of Graphs
    Rylee Thompson, Elahe Ghalebi, Terrance DeVries, Graham W. Taylor
    http://arxiv.org/abs/2012.11543v1

    • [cs.AI]CSKG: The CommonSense Knowledge Graph
    Filip Ilievski, Pedro Szekely, Bin Zhang
    http://arxiv.org/abs/2012.11490v1

    • [cs.AI]Can we learn where people come from? Retracing of origins in merging situations
    Marion Gödel, Luca Spataro, Gerta Köster
    http://arxiv.org/abs/2012.11527v1

    • [cs.AI]DynamicHS: Streamlining Reiter’s Hitting-Set Tree for Sequential Diagnosis
    Patrick Rodler
    http://arxiv.org/abs/2012.11078v1

    • [cs.AI]Explaining Black-box Models for Biomedical Text Classification
    Milad Moradi, Matthias Samwald
    http://arxiv.org/abs/2012.10928v1

    • [cs.AI]FlowDB a large scale precipitation, river, and flash flood dataset
    Isaac Godfried, Kriti Mahajan, Maggie Wang, Kevin Li, Pranjalya Tiwari
    http://arxiv.org/abs/2012.11154v1

    • [cs.AI]Get It Scored Using AutoSAS — An Automated System for Scoring Short Answers
    Yaman Kumar, Swati Aggarwal, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann
    http://arxiv.org/abs/2012.11243v1

    • [cs.AI]Infrared image pedestrian target detection based on Yolov3 and migration learning
    Shengqi Geng
    http://arxiv.org/abs/2012.11185v1

    • [cs.AI]Learning by Fixing: Solving Math Word Problems with Weak Supervision
    Yining Hong, Qing Li, Daniel Ciao, Siyuan Haung, Song-Chun Zhu
    http://arxiv.org/abs/2012.10582v1

    • [cs.AI]Lexicographic Logic: a Many-valued Logic for Preference Representation
    Angelos Charalambidis, Giorgos Papadimitriou, Panos Rondogiannis, Antonis Troumpoukis
    http://arxiv.org/abs/2012.10940v1

    • [cs.AI]Minimax Strikes Back
    Quentin Cohen-Solal, Tristan Cazenave
    http://arxiv.org/abs/2012.10700v1

    • [cs.AI]Monte-Carlo Graph Search for AlphaZero
    Johannes Czech, Patrick Korus, Kristian Kersting
    http://arxiv.org/abs/2012.11045v1

    • [cs.AI]On graded semantics of abstract argumentation: extension-based case
    Lixing Tan, Zhaohui Zhua, Jinjin Zhang
    http://arxiv.org/abs/2012.10592v1

    • [cs.AI]Probabilistic Dependency Graphs
    Oliver Richardson, Joseph Y Halpern
    http://arxiv.org/abs/2012.10800v1

    • [cs.AI]Universal Policies for Software-Defined MDPs
    Daniel Selsam, Jesse Michael Han, Leonardo de Moura, Patrice Godefroid
    http://arxiv.org/abs/2012.11401v1

    • [cs.AI]Who will accept my request? Predicting response of link initiation in two-way relation networks
    Amin Javari, Mehrab Norouzitallab, Mahdi Jalili
    http://arxiv.org/abs/2012.11172v1

    • [cs.AR]Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
    Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique
    http://arxiv.org/abs/2012.11233v1

    • [cs.CE]Quantifying the predictability of visual scanpaths using active information storage
    Patricia Wollstadt, Martina Hasenjäger, Christiane B. Wiebel-Herboth
    http://arxiv.org/abs/2012.11447v1

    • [cs.CG]Escaping an Infinitude of Lions
    Mikkel Abrahamsen, Jacob Holm, Eva Rotenberg, Christian Wulff-Nilsen
    http://arxiv.org/abs/2012.11181v1

    • [cs.CL]A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training
    Yongkang Liu, Shi Feng, Daling Wang, Kaisong Song, Feiliang Ren, Yifei Zhang
    http://arxiv.org/abs/2012.11099v1

    • [cs.CL]A hybrid deep-learning approach for complex biochemical named entity recognition
    Jian Liu, Lei Gao, Sujie Guo, Rui Ding, Xin Huang, Long Ye, Qinghua Meng, Asef Nazari, Dhananjay Thiruvady
    http://arxiv.org/abs/2012.10824v1

    • [cs.CL]Adaptive Bi-directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension
    Nuo Chen, Fenglin Liu, Chenyu You, Peilin Zhou, Yuexian Zou
    http://arxiv.org/abs/2012.10877v1

    • [cs.CL]An End-to-End Document-Level Neural Discourse Parser Exploiting Multi-Granularity Representations
    Ke Shi, Zhengyuan Liu, Nancy F. Chen
    http://arxiv.org/abs/2012.11169v1

    • [cs.CL]Document-Level Relation Extraction with Reconstruction
    Wang Xu, Kehai Chen, Tiejun Zhao
    http://arxiv.org/abs/2012.11384v1

    • [cs.CL]Domain specific BERT representation for Named Entity Recognition of lab protocol
    Tejas Vaidhya, Ayush Kaushal
    http://arxiv.org/abs/2012.11145v1

    • [cs.CL]Finding Sparse Structure for Domain Specific Neural Machine Translation
    Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li
    http://arxiv.org/abs/2012.10586v1

    • [cs.CL]FraCaS: Temporal Analysis
    Jean-Philippe Bernardy, Stergios Chatzikyriakidis
    http://arxiv.org/abs/2012.10668v1

    • [cs.CL]Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text Summarization
    Mehrdad Farahani, Mohammad Gharachorloo, Mohammad Manthouri
    http://arxiv.org/abs/2012.11204v1

    • [cs.CL]Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection
    Yikang Li, Pulkit Goel, Varsha Kuppur Rajendra, Har Simrat Singh, Jonathan Francis, Kaixin Ma, Eric Nyberg, Alessandro Oltramari
    http://arxiv.org/abs/2012.10813v1

    • [cs.CL]MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing
    Pingchuan Ma, Shuai Wang
    http://arxiv.org/abs/2012.11163v1

    • [cs.CL]Medical Entity Linking using Triplet Network
    Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar, Pawan Goyal, Jitesh Pillai, Amitava Bhattacharyya, Mahanandeeshwar Gattu
    http://arxiv.org/abs/2012.11164v1

    • [cs.CL]Narrative Incoherence Detection
    Deng Cai, Yizhe Zhang, Yichen Huang, Wai Lam, Bill Dolan
    http://arxiv.org/abs/2012.11157v1

    • [cs.CL]On (Emergent) Systematic Generalisation and Compositionality in Visual Referential Games with Straight-Through Gumbel-Softmax Estimator
    Kevin Denamganaï, James Alfred Walker
    http://arxiv.org/abs/2012.10776v1

    • [cs.CL]Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems
    Yunmo Chen, Sixing Lu, Fan Yang, Xiaojiang Huang, Xing Fan, Chenlei Guo
    http://arxiv.org/abs/2012.11468v1

    • [cs.CL]Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems
    Tian Lan, Xian-Ling Mao, Zhipeng Zhao, Wei Wei, Heyan Huang
    http://arxiv.org/abs/2012.11357v1

    • [cs.CL]TechTexC: Classification of Technical Texts using Convolution and Bidirectional Long Short Term Memory Network
    Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque
    http://arxiv.org/abs/2012.11420v1

    • [cs.CL]Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions
    Ishani Mondal
    http://arxiv.org/abs/2012.11142v1

    • [cs.CL]Uncertainty-Aware Label Refinement for Sequence Labeling
    Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang
    http://arxiv.org/abs/2012.10608v1

    • [cs.CR]A closed form scale bound for the $(ε, δ)$-differentially private Gaussian Mechanism valid for all privacy regimes
    Staal A. Vinterbo
    http://arxiv.org/abs/2012.10523v1

    • [cs.CR]AWA: Adversarial Website Adaptation
    Amir Mahdi Sadeghzadeh, Behrad Tajali, Rasool Jalili
    http://arxiv.org/abs/2012.10832v1

    • [cs.CR]Confused Modulo Projection based Somewhat Homomorphic Encryption — Cryptosystem, Library and Applications on Secure Smart Cities
    Xin Jin, Hongyu Zhang, Xiaodong Li, Haoyang Yu, Beisheng Liu, Shujiang Xie, Amit Kumar Singh, Yujie Li
    http://arxiv.org/abs/2012.10692v1

    • [cs.CR]DeepKeyGen: A Deep Learning-based Stream Cipher Generator for Medical Image Encryption and Decryption
    Yi Ding, Fuyuan Tan, Zhen Qin, Mingsheng Cao, Kim-Kwang Raymond Choo, Zhiguang Qin
    http://arxiv.org/abs/2012.11097v1

    • [cs.CV]3D Object Detection with Pointformer
    Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang
    http://arxiv.org/abs/2012.11409v1

    • [cs.CV]A 3D GAN for Improved Large-pose Facial Recognition
    Richard T. Marriott, Sami Romdhani, Liming Chen
    http://arxiv.org/abs/2012.10545v1

    • [cs.CV]AVAE: Adversarial Variational Auto Encoder
    Antoine Plumerault, Hervé Le Borgne, Céline Hudelot
    http://arxiv.org/abs/2012.11551v1

    • [cs.CV]Accurate Object Association and Pose Updating for Semantic SLAM
    Kaiqi Chen, Jialing Liu, Jianhua Zhang, Zhenhua Wang
    http://arxiv.org/abs/2012.11368v1

    • [cs.CV]Amplifying the Anterior-Posterior Difference via Data Enhancement — A More Robust Deep Monocular Orientation Estimation Solution
    Chenchen Zhao, Hao Li
    http://arxiv.org/abs/2012.11431v1

    • [cs.CV]An Assessment of GANs for Identity-related Applications
    Richard T. Marriott, Safa Madiouni, Sami Romdhani, Stéphane Gentric, Liming Chen
    http://arxiv.org/abs/2012.10553v1

    • [cs.CV]An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge
    Hong-Xia Xie, Ling Lo, Hong-Han Shuai, Wen-Huang Cheng
    http://arxiv.org/abs/2012.11307v1

    • [cs.CV]Anchor-Based Spatial-Temporal Attention Convolutional Networks for Dynamic 3D Point Cloud Sequences
    Guangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, Hesheng Wang
    http://arxiv.org/abs/2012.10860v1

    • [cs.CV]Augmentation Inside the Network
    Maciej Sypetkowski, Jakub Jasiulewicz, Zbigniew Wojna
    http://arxiv.org/abs/2012.10769v1

    • [cs.CV]Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network
    Keisuke Uemura, Yoshito Otake, Masaki Takao, Mazen Soufi, Akihiro Kawasaki, Nobuhiko Sugano, Yoshinobu Sato
    http://arxiv.org/abs/2012.11151v1

    • [cs.CV]BAF-Detector: An Efficient CNN-Based Detector for Photovoltaic Solar Cell Defect Detection
    Binyi Su, Haiyong Chen, Zhong Zhou
    http://arxiv.org/abs/2012.10631v1

    • [cs.CV]Blurring Fools the Network — Adversarial Attacks by Feature Peak Suppression and Gaussian Blurring
    Chenchen Zhao, Hao Li
    http://arxiv.org/abs/2012.11442v1

    • [cs.CV]Camera-aware Proxies for Unsupervised Person Re-Identification
    Menglin Wang, Baisheng Lai, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua
    http://arxiv.org/abs/2012.10674v1

    • [cs.CV]Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses
    Lucas Ventura, Amanda Duarte, Xavier Giro-i-Nieto
    http://arxiv.org/abs/2012.10941v1

    • [cs.CV]Centralized Information Interaction for Salient Object Detection
    Jiang-Jiang Liu, Zhi-Ang Liu, Ming-Ming Cheng
    http://arxiv.org/abs/2012.11294v1

    • [cs.CV]Computer Vision based Accident Detection for Autonomous Vehicles
    Dhananjai Chand, Savyasachi Gupta, Ilaiah Kavati
    http://arxiv.org/abs/2012.10870v1

    • [cs.CV]Computer Vision based Animal Collision Avoidance Framework for Autonomous Vehicles
    Savyasachi Gupta, Dhananjai Chand, Ilaiah Kavati
    http://arxiv.org/abs/2012.10878v1

    • [cs.CV]Computer Vision based Tomography of Structures Using 3D Digital Image Correlation
    Mehrdad Shafiei Dizaji, Devin Harris
    http://arxiv.org/abs/2012.10516v1

    • [cs.CV]Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation
    Abhishek K Dubey, Michael T Young, Christopher Stanley, Dalton Lunga, Jacob Hinkle
    http://arxiv.org/abs/2012.10564v1

    • [cs.CV]DAQ: Distribution-Aware Quantization for Deep Image Super-Resolution Networks
    Cheeun Hong, Heewon Kim, Junghun Oh, Kyoung Mu Lee
    http://arxiv.org/abs/2012.11230v1

    • [cs.CV]DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks
    Abhishek Singh, Ayush Chopra, Vivek Sharma, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Ramesh Raskar
    http://arxiv.org/abs/2012.11025v1

    • [cs.CV]Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation
    Haowen Deng, Mai Bui, Nassir Navab, Leonidas Guibas, Slobodan Ilic, Tolga Birdal
    http://arxiv.org/abs/2012.11002v1

    • [cs.CV]Deep Continuous Fusion for Multi-Sensor 3D Object Detection
    Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun
    http://arxiv.org/abs/2012.10992v1

    • [cs.CV]Dense Multiscale Feature Fusion Pyramid Networks for Object Detection in UAV-Captured Images
    Yingjie Liu
    http://arxiv.org/abs/2012.10643v1

    • [cs.CV]Disease Forecast via Progression Learning
    Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shiming Li, Yizhou Wang
    http://arxiv.org/abs/2012.11107v1

    • [cs.CV]Diverse Knowledge Distillation for End-to-End Person Search
    Xinyu Zhang, Xinlong Wang, Jia-Wang Bian, Chunhua Shen, Mingyu You
    http://arxiv.org/abs/2012.11187v1

    • [cs.CV]Dynamic Traffic Modeling From Overhead Imagery
    Scott Workman, Nathan Jacobs
    http://arxiv.org/abs/2012.10530v1

    • [cs.CV]EMLight: Lighting Estimation via Spherical Distribution Approximation
    Fangneng Zhan, Changgong Zhang, Yingchen Yu, Yuan Chang, Shijian Lu, Feiying Ma, Xuansong Xie
    http://arxiv.org/abs/2012.11116v1

    • [cs.CV]End-to-End Deep Structured Models for Drawing Crosswalks
    Justin Liang, Raquel Urtasun
    http://arxiv.org/abs/2012.11585v1

    • [cs.CV]Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks
    Chenchen Zhao, Hao Li
    http://arxiv.org/abs/2012.11413v1

    • [cs.CV]From Points to Multi-Object 3D Reconstruction
    Francis Engelmann, Konstantinos Rematas, Bastian Leibe, Vittorio Ferrari
    http://arxiv.org/abs/2012.11575v1

    • [cs.CV]Fusion of CNNs and statistical indicators to improve image classification
    Javier Huertas-Tato, Alejandro Martín, Julian Fierrez, David Camacho
    http://arxiv.org/abs/2012.11049v1

    • [cs.CV]Geometric Scene Refocusing
    Parikshit Sakurikar, P. J. Narayanan
    http://arxiv.org/abs/2012.10856v1

    • [cs.CV]GlocalNet: Class-aware Long-term Human Motion Synthesis
    Neeraj Battan, Yudhik Agrawal, Veeravalli Saisooryarao, Aman Goel, Avinash Sharma
    http://arxiv.org/abs/2012.10744v1

    • [cs.CV]Guidance Module Network for Video Captioning
    Xiao Zhang, Chunsheng Liu, Faliang Chang
    http://arxiv.org/abs/2012.10930v1

    • [cs.CV]High-Fidelity Neural Human Motion Transfer from Monocular Video
    Moritz Kappel, Vladislav Golyanik, Mohamed Elgharib, Jann-Ole Henningson, Hans-Peter Seidel, Susana Castillo, Christian Theobalt, Marcus Magnor
    http://arxiv.org/abs/2012.10974v1

    • [cs.CV]Human 3D keypoints via spatial uncertainty modeling
    Francis Williams, Or Litany, Avneesh Sud, Kevin Swersky, Andrea Tagliasacchi
    http://arxiv.org/abs/2012.10518v1

    • [cs.CV]HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
    Yuval Nirkin, Lior Wolf, Tal Hassner
    http://arxiv.org/abs/2012.11582v1

    • [cs.CV]Identifying Invariant Texture Violation for Robust Deepfake Detection
    Xinwei Sun, Botong Wu, Wei Chen
    http://arxiv.org/abs/2012.10580v1

    • [cs.CV]Image Annotation based on Deep Hierarchical Context Networks
    Mingyuan Jiu, Hichem Sahbi
    http://arxiv.org/abs/2012.11253v1

    • [cs.CV]Image Translation via Fine-grained Knowledge Transfer
    Xuanhong Chen, Ziang Liu, Ting Qiu, Bingbing Ni, Naiyuan Liu, Xiwei Hu, Yuhan Li
    http://arxiv.org/abs/2012.11193v1

    • [cs.CV]Improving Unsupervised Image Clustering With Robust Learning
    Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha
    http://arxiv.org/abs/2012.11150v1

    • [cs.CV]Improving unsupervised anomaly localization by applying multi-scale memories to autoencoders
    Yifei Yang, Shibing Xiang, Ruixiang Zhang
    http://arxiv.org/abs/2012.11113v1

    • [cs.CV]KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA
    Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach
    http://arxiv.org/abs/2012.11014v1

    • [cs.CV]Knowledge Transfer Based Fine-grained Visual Classification
    Siqing Zhang, Ruoyi Du, Dongliang Chang, Zhanyu Ma, Jun Guo
    http://arxiv.org/abs/2012.11389v1

    • [cs.CV]Leaf Segmentation and Counting with Deep Learning: on Model Certainty, Test-Time Augmentation, Trade-Offs
    Douglas Pinto Sampaio Gomes, Lihong Zheng
    http://arxiv.org/abs/2012.11486v1

    • [cs.CV]Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud
    Mutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, Yu Qiao
    http://arxiv.org/abs/2012.10921v1

    • [cs.CV]Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning
    Ying Bi, Bing Xue, Mengjie Zhang
    http://arxiv.org/abs/2012.09444v2

    • [cs.CV]Learning content and context with language bias for Visual Question Answering
    Chao Yang, Su Feng, Dongsheng Li, Huawei Shen, Guoqing Wang, Bin Jiang
    http://arxiv.org/abs/2012.11134v1

    • [cs.CV]Learning to Localize Through Compressed Binary Maps
    Xinkai Wei, Ioan Andrei Bârsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun
    http://arxiv.org/abs/2012.10942v1

    • [cs.CV]Learning to Localize Using a LiDAR Intensity Map
    Ioan Andrei Bârsan, Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun
    http://arxiv.org/abs/2012.10902v1

    • [cs.CV]Monocular Depth Parameterizing Networks
    Patrik Persson, Linn Öström, Carl Olsson
    http://arxiv.org/abs/2012.11301v1

    • [cs.CV]Multi-Head Linear Attention Generative Adversarial Network for Thin Cloud Removal
    Chenxi Duan, Rui Li
    http://arxiv.org/abs/2012.10898v1

    • [cs.CV]No Shadow Left Behind: Removing Objects and their Shadows using Approximate Lighting and Geometry
    Edward Zhang, Ricardo Martin-Brualla, Janne Kontkanen, Brian Curless
    http://arxiv.org/abs/2012.10565v1

    • [cs.CV]Object-Centric Diagnosis of Visual Reasoning
    Jianwei Yang, Jiayuan Mao, Jiajun Wu, Devi Parikh, David D. Cox, Joshua B. Tenenbaum, Chuang Gan
    http://arxiv.org/abs/2012.11587v1

    • [cs.CV]Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning
    Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez
    http://arxiv.org/abs/2012.11552v1

    • [cs.CV]Optimizing Deep Neural Networks through Neuroevolution with Stochastic Gradient Descent
    Haichao Zhang, Kuangrong Hao, Lei Gao, Bing Wei, Xuesong Tang
    http://arxiv.org/abs/2012.11184v1

    • [cs.CV]PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension
    Chao Yang, Guoqing Wang, Dongsheng Li, Huawei Shen, Su Feng, Bin Jiang
    http://arxiv.org/abs/2012.10890v1

    • [cs.CV]PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning
    Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu
    http://arxiv.org/abs/2012.10844v1

    • [cs.CV]Physically Based Neural Simulator for Garment Animation
    Hugo Bertiche, Meysam Madadi, Sergio Escalera
    http://arxiv.org/abs/2012.11310v1

    • [cs.CV]Political Posters Identification with Appearance-Text Fusion
    Xuan Qin, Meizhu Liu, Yifan Hu, Christina Moo, Christian M. Riblet, Changwei Hu, Kevin Yen, Haibin Ling
    http://arxiv.org/abs/2012.10728v1

    • [cs.CV]Populating 3D Scenes by Learning Human-Scene Interaction
    Mohamed Hassan, Partha Ghosh, Joachim Tesch, Dimitrios Tzionas, Michael J. Black
    http://arxiv.org/abs/2012.11581v1

    • [cs.CV]Quantum Optical Convolutional Neural Network: A Novel Image Recognition Framework for Quantum Computing
    Rishab Parthasarathy, Rohan Bhowmik
    http://arxiv.org/abs/2012.10812v1

    • [cs.CV]ResizeMix: Mixing Data with Preserved Object Information and True Labels
    Jie Qin, Jiemin Fang, Qian Zhang, Wenyu Liu, Xingang Wang, Xinggang Wang
    http://arxiv.org/abs/2012.11101v1

    • [cs.CV]Rethinking Road Surface 3D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation
    Rui Fan, Umar Ozgunalp, Yuan Wang, Ming Liu, Ioannis Pitas
    http://arxiv.org/abs/2012.10802v1

    • [cs.CV]Robustness of Facial Recognition to GAN-based Face-morphing Attacks
    Richard T. Marriott, Sami Romdhani, Stéphane Gentric, Liming Chen
    http://arxiv.org/abs/2012.10548v1

    • [cs.CV]SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
    Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman
    http://arxiv.org/abs/2012.11460v1

    • [cs.CV]SMART Frame Selection for Action Recognition
    Shreyank N Gowda, Marcus Rohrbach, Laura Sevilla-Lara
    http://arxiv.org/abs/2012.10671v1

    • [cs.CV]Searching for Controllable Image Restoration Networks
    Heewon Kim, Sungyong Baik, Myungsub Choi, Janghoon Choi, Kyoung Mu Lee
    http://arxiv.org/abs/2012.11225v1

    • [cs.CV]Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
    Kaya Turgut, Helin Dutagaci, Gilles Galopin, David Rousseau
    http://arxiv.org/abs/2012.11489v1

    • [cs.CV]Self-supervised monocular depth estimation from oblique UAV videos
    Logambal Madhuanand, Francesco Nex, Michael Ying Yang
    http://arxiv.org/abs/2012.10704v1

    • [cs.CV]Semantic Audio-Visual Navigation
    Changan Chen, Ziad Al-Halah, Kristen Grauman
    http://arxiv.org/abs/2012.11583v1

    • [cs.CV]Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks
    Hao Zeng, Qingjie Liu, Mingming Zhang, Xiaoqing Han, Yunhong Wang
    http://arxiv.org/abs/2012.10932v1

    • [cs.CV]Sequence-to-Sequence Contrastive Learning for Text Recognition
    Aviad Aberdam, Ron Litman, Shahar Tsiper, Oron Anschel, Ron Slossberg, Shai Mazor, R. Manmatha, Pietro Perona
    http://arxiv.org/abs/2012.10873v1

    • [cs.CV]ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on
    Gaurav Kuppa, Andrew Jong, Vera Liu, Ziwei Liu, Teng Moh
    http://arxiv.org/abs/2012.10495v1

    • [cs.CV]Siamese Anchor Proposal Network for High-Speed Aerial Tracking
    Changhong Fu, Ziang Cao, Yiming Li, Junjie Ye, Chen Feng
    http://arxiv.org/abs/2012.10706v1

    • [cs.CV]Space ML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA
    Anirudh Koul, Siddha Ganju, Meher Kasam, James Parr
    http://arxiv.org/abs/2012.10610v1

    • [cs.CV]Static object detection and segmentation in videos based on dual foregrounds difference with noise filtering
    Waqqas-ur-Rehman Butt, Martin Servin
    http://arxiv.org/abs/2012.10708v1

    • [cs.CV]The importance of silhouette optimization in 3D shape reconstruction system from multiple object scenes
    Waqqas-ur-Rehman Butt, Martin Servin
    http://arxiv.org/abs/2012.10660v1

    • [cs.CV]Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation
    Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool
    http://arxiv.org/abs/2012.10782v1

    • [cs.CV]Towards Automatic Digital Documentation and Progress Reporting of Mechanical Construction Pipes using Smartphones
    Reza Maalek, Derek Lichti, Shahrokh Maalek
    http://arxiv.org/abs/2012.10958v1

    • [cs.CV]Towards the Localisation of Lesions in Diabetic Retinopathy
    Samuel Ofosu Mensah, Bubacarr Bah, Willie Brink
    http://arxiv.org/abs/2012.11432v1

    • [cs.CV]Transductive Visual Verb Sense Disambiguation
    Sebastiano Vascon, Sinem Aslan, Gianluca Bigaglia, Lorenzo Giudice, Marcello Pelillo
    http://arxiv.org/abs/2012.10821v1

    • [cs.CV]Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction
    Mengshi Qi, Edoardo Remelli, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/2012.11260v1

    • [cs.CV]Unsupervised Scale-Invariant Multispectral Shape Matching
    Idan Pazi, Dvir Ginzburg, Dan Raviv
    http://arxiv.org/abs/2012.10685v1

    • [cs.CV]Visual Speech Enhancement Without A Real Visual Stream
    Sindhu B Hegde, K R Prajwal, Rudrabha Mukhopadhyay, Vinay Namboodiri, C. V. Jawahar
    http://arxiv.org/abs/2012.10852v1

    • [cs.CV]Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection
    Yan Luo, Chongyang Zhang, Muming Zhao, Hao Zhou, Jun Sun
    http://arxiv.org/abs/2012.10880v1

    • [cs.CY]Social Media COVID-19 Misinformation Interventions Viewed Positively, But Have Limited Impact
    Christine Geeng, Tiona Francisco, Jevin West, Franziska Roesner
    http://arxiv.org/abs/2012.11055v1

    • [cs.CY]Visuo-Locomotive Complexity as a Component of Parametric Systems for Architecture Design
    Vasiliki Kondyli, Mehul Bhatt, Evgenia Spyridonos
    http://arxiv.org/abs/2012.10710v1

    • [cs.DB]Parallel Index-Based Structural Graph Clustering and Its Approximation
    Tom Tseng, Laxman Dhulipala, Julian Shun
    http://arxiv.org/abs/2012.11188v1

    • [cs.DC]Achieving Operational Scalability Using Razee Continuous Deployment Model and Kubernetes Operators
    Srini Bhagavan, Saravanan Balasubramanian, Prasad Reddy Annem, Thuan Ngo, Arun Soundararaj
    http://arxiv.org/abs/2012.10526v1

    • [cs.DC]Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
    Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
    http://arxiv.org/abs/2012.10557v1

    • [cs.DC]Game theory and Evolutionary-optimization methods applied to resource allocation problems in emerging computing environments: A survey
    Fatemeh Rahmani, Javad Hassannataj Joloudari, Shahab Shamshirband, Seyedakbar Mostafavi
    http://arxiv.org/abs/2012.11355v1

    • [cs.DC]Optimal Resilience in Systems that Mix Shared Memory and Message Passing
    Hagit Attiya, Sweta Kumari, Noa Schiller
    http://arxiv.org/abs/2012.10846v1

    • [cs.DC]RC-chain: Reputation-based Crowdsourcing Blockchain for Vehicular Networks
    L. J. Sun, Q. Yang, X. Chen, Z. X. Chen
    http://arxiv.org/abs/2012.11120v1

    • [cs.DC]TOPCAT Visualisation over the Web
    Mark Taylor
    http://arxiv.org/abs/2012.10560v1

    • [cs.DC]Towards Management of Energy Consumption in HPC Systems with Fault Tolerance
    Marina Morán, Javier Balladini, Dolores Rexachs, Enzo Rucci
    http://arxiv.org/abs/2012.11396v1

    • [cs.ET]Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization
    Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan
    http://arxiv.org/abs/2012.11148v1

    • [cs.ET]Modeling Silicon-Photonic Neural Networks under Uncertainties
    Sanmitra Banerjee, Mahdi Nikdast, Krishnendu Chakrabarty
    http://arxiv.org/abs/2012.10594v1

    • [cs.HC]Mind the Gap: A Framework (BehaveFIT) Guiding The Use of Immersive Technologies in Behavior Change Processes
    Carolin Wienrich, Nina Ines Döllinger, Rebecca Hein
    http://arxiv.org/abs/2012.10912v1

    • [cs.IR]Autoregressive Reasoning over Chains of Facts with Transformers
    Ruben Cartuyvels, Graham Spinks, Marie-Francine Moens
    http://arxiv.org/abs/2012.11321v1

    • [cs.IR]Cross-domain Retrieval in the Legal and Patent Domains: a Reproducability Study
    Sophia Althammer, Sebastian Hofstätter, Allan Hanbury
    http://arxiv.org/abs/2012.11405v1

    • [cs.IR]New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution
    Markus Viljanen, Tapio Pahikkala
    http://arxiv.org/abs/2012.11480v1

    • [cs.IR]Self-Supervised Learning for Visual Summary Identification in Scientific Publications
    Shintaro Yamamoto, Anne Lauscher, Simone Paolo Ponzetto, Goran Glavaš, Shigeo Morishima
    http://arxiv.org/abs/2012.11213v1

    • [cs.IT]A Non-cooperative Game-based Distributed Beam Scheduling for 5G mm-Wave Networks
    Xiang Zhang, Shamik Sarkar, Arupjyoti Bhuyan, Sneha Kumar Kasera, Mingyue Ji
    http://arxiv.org/abs/2012.11168v1

    • [cs.IT]Achieving positive rates with predetermined dictionaries
    Ghurumuruhan Ganesan
    http://arxiv.org/abs/2012.10897v1

    • [cs.IT]Base Station Coordination Scheme for Multi-tier Ultra-dense Networks
    Sudarshan Mukherjee, Dongsun Kim, Jemin Lee
    http://arxiv.org/abs/2012.10476v1

    • [cs.IT]Communication and Localization with Extremely Large Lens Antenna Array
    Jie Yang, Yong Zeng, Shi Jin, Chao-Kai Wen, Pingping Xu
    http://arxiv.org/abs/2012.11161v1

    • [cs.IT]Efficient Parallel Schemes for Cell-free Massive MIMO Using Radio Stripes
    Yihua Ma, Zhifeng Yuan, Guanghui Yu, Yijian Chen
    http://arxiv.org/abs/2012.11076v1

    • [cs.IT]Grant-Free Random Access in Machine-Type Communication: Approaches and Challenges
    Jinho Choi, Jie Ding, Ngoc Phuc Le, Zhiguo Ding
    http://arxiv.org/abs/2012.10550v1

    • [cs.IT]Intelligent Reflecting Surfaces: Sum-Rate Optimization Based on Statistical CSI
    Andrea Abrardo, Davide Dardari, Marco Di Renzo
    http://arxiv.org/abs/2012.10679v1

    • [cs.IT]List-decodability with large radius for Reed-Solomon codes
    Asaf Ferber, Matthew Kwan, Lisa Sauermann
    http://arxiv.org/abs/2012.10584v1

    • [cs.IT]MDS linear codes with one dimensional hull
    Lin Sok
    http://arxiv.org/abs/2012.11247v1

    • [cs.IT]Memory Approximate Message Passing
    Lei Liu, Shunqi Huang, Brian M. Kurkoski
    http://arxiv.org/abs/2012.10861v1

    • [cs.IT]Neural Joint Entropy Estimation
    Yuval Shalev, Amichai Painsky, Irad Ben-Gal
    http://arxiv.org/abs/2012.11197v1

    • [cs.IT]Optimal Decoding of Convolutional Codes using a Linear State Space Control Formulation
    Caleb Bowyer
    http://arxiv.org/abs/2012.11095v1

    • [cs.IT]Perturbed Adaptive Belief Propagation Decoding for High-Density Parity-Check Codes
    Li Deng, Zilong Liu, Yong Liang Guan, Xiaobei Liu, Chaudhry Adnan Aslam, Xiaoxi Yu, Zhiping Shi
    http://arxiv.org/abs/2012.10743v1

    • [cs.IT]Predictor Antenna: A Technique to Boost the Performance of Moving Relays
    Hao Guo, Behrooz Makki, Dinh-Thuy Phan-Huy, Erik Dahlman, Mohamed-Slim Alouini, Tommy Svensson
    http://arxiv.org/abs/2012.10537v1

    • [cs.IT]Privacy Analysis of Online Learning Algorithms via Contraction Coefficients
    Shahab Asoodeh, Mario Diaz, Flavio P. Calmon
    http://arxiv.org/abs/2012.11035v1

    • [cs.IT]Reconfigurable Intelligent Surface assisted Multi-user Communications: How Many Reflective Elements Do We Need?
    Hongliang Zhang, Boya Di, Zhu Han, H. Vincent Poor, Lingyang Song
    http://arxiv.org/abs/2012.10736v1

    • [cs.IT]Repairing Reed-Solomon Codes Evaluated on Subspaces
    Amit Berman, Sarit Buzaglo, Avner Dor, Yaron Shany, Itzhak Tamo
    http://arxiv.org/abs/2012.11166v1

    • [cs.IT]Weighted Reed-Solomon convolutional codes
    Gianira N. Alfarano, Diego Napp, Alessandro Neri, Verónica Requena
    http://arxiv.org/abs/2012.11417v1

    • [cs.LG]A Bayesian methodology for localising acoustic emission sources in complex structures
    Matthew R. Jones, Tim J. Rogers, Keith Worden, Elizabeth J. Cross
    http://arxiv.org/abs/2012.11058v1

    • [cs.LG]A Frequency And Phase Attention Based Deep Learning Framework For Partial Discharge Detection On Insulated Overhead Conductors
    Mohammad Zunaed Rafi, Ankur Nath, Md. Saifur Rahman
    http://arxiv.org/abs/2012.11532v1

    • [cs.LG]A Graph Attention Based Approach for Trajectory Prediction in Multi-agent Sports Games
    Ding Ding, H. Howie Huang
    http://arxiv.org/abs/2012.10531v1

    • [cs.LG]A Meta-Learning Approach to the Optimal Power Flow Problem Under Topology Reconfigurations
    Yexiang Chen, Subhash Lakshminarayana, Carsten Maple, H. Vincent Poor
    http://arxiv.org/abs/2012.11524v1

    • [cs.LG]A Note on Graph-Based Nearest Neighbor Search
    Hongya Wang, Zhizheng Wang, Wei Wang, Yingyuan Xiao, Zeng Zhao, Kaixiang Yang
    http://arxiv.org/abs/2012.11083v1

    • [cs.LG]A pipeline for fair comparison of graph neural networks in node classification tasks
    Wentao Zhao, Dalin Zhou, Xinguo Qiu, Wei Jiang
    http://arxiv.org/abs/2012.10619v1

    • [cs.LG]Alternating linear scheme in a Bayesian framework for low-rank tensor approximation
    Clara Menzen, Manon Kok, Kim Batselier
    http://arxiv.org/abs/2012.11228v1

    • [cs.LG]An Information-Theoretic Framework for Unifying Active Learning Problems
    Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
    http://arxiv.org/abs/2012.10695v1

    • [cs.LG]Analysis of NARXNN for State of Charge Estimation for Li-ion Batteries on various Drive Cycles
    Aniruddh Herle, Janamejaya Channegowda, Kali Naraharisetti
    http://arxiv.org/abs/2012.10725v1

    • [cs.LG]Analyzing the Performance of Graph Neural Networks with Pipe Parallelism
    Matthew T. Dearing, Xiaoyan, Wang
    http://arxiv.org/abs/2012.10840v1

    • [cs.LG]Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm
    Saptarshi Chakraborty, Debolina Paul, Swagatam Das
    http://arxiv.org/abs/2012.10929v1

    • [cs.LG]Barking up the right tree: an approach to search over molecule synthesis DAGs
    John Bradshaw, Brooks Paige, Matt J. Kusner, Marwin H. S. Segler, José Miguel Hernández-Lobato
    http://arxiv.org/abs/2012.11522v1

    • [cs.LG]Bayesian Semi-supervised Crowdsourcing
    Panagiotis A. Traganitis, Georgios B. Giannakis
    http://arxiv.org/abs/2012.11048v1

    • [cs.LG]Biased Models Have Biased Explanations
    Aditya Jain, Manish Ravula, Joydeep Ghosh
    http://arxiv.org/abs/2012.10986v1

    • [cs.LG]Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure
    Islam Akef Ebeid, Majdi Hassan, Tingyi Wanyan, Jack Roper, Abhik Seal, Ying Ding
    http://arxiv.org/abs/2012.10540v1

    • [cs.LG]CAMTA: Casual Attention Model for Multi-touch Attribution
    Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
    http://arxiv.org/abs/2012.11403v1

    • [cs.LG]Communication-Aware Collaborative Learning
    Avrim Blum, Shelby Heinecke, Lev Reyzin
    http://arxiv.org/abs/2012.10569v1

    • [cs.LG]Data Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
    Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein
    http://arxiv.org/abs/2012.10544v1

    • [cs.LG]Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
    Siyuan Cheng, Yingqi Liu, Shiqing Ma, Xiangyu Zhang
    http://arxiv.org/abs/2012.11212v1

    • [cs.LG]Design Rule Checking with a CNN Based Feature Extractor
    Luis Francisco, Tanmay Lagare, Arpit Jain, Somal Chaudhary, Madhura Kulkarni, Divya Sardana, W. Rhett Davis, Paul Franzon
    http://arxiv.org/abs/2012.11510v1

    • [cs.LG]Evaluating Agents without Rewards
    Brendon Matusch, Jimmy Ba, Danijar Hafner
    http://arxiv.org/abs/2012.11538v1

    • [cs.LG]Fairness, Welfare, and Equity in Personalized Pricing
    Nathan Kallus, Angela Zhou
    http://arxiv.org/abs/2012.11066v1

    • [cs.LG]Fundamental Limits and Tradeoffs in Invariant Representation Learning
    Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar
    http://arxiv.org/abs/2012.10713v1

    • [cs.LG]GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
    Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh Iyer
    http://arxiv.org/abs/2012.10630v1

    • [cs.LG]Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances
    Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha
    http://arxiv.org/abs/2012.10658v1

    • [cs.LG]Genetic Adversarial Training of Decision Trees
    Francesco Ranzato, Marco Zanella
    http://arxiv.org/abs/2012.11352v1

    • [cs.LG]Hop-Hop Relation-aware Graph Neural Networks
    Li Zhang, Yan Ge, Haiping Lu
    http://arxiv.org/abs/2012.11147v1

    • [cs.LG]Knowledge as Invariance — History and Perspectives of Knowledge-augmented Machine Learning
    Alexander Sagel, Amit Sahu, Stefan Matthes, Holger Pfeifer, Tianming Qiu, Harald Rueß, Hao Shen, Julian Wörmann
    http://arxiv.org/abs/2012.11406v1

    • [cs.LG]LQF: Linear Quadratic Fine-Tuning
    Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto
    http://arxiv.org/abs/2012.11140v1

    • [cs.LG]Learn molecular representations from large-scale unlabeled molecules for drug discovery
    Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song
    http://arxiv.org/abs/2012.11175v1

    • [cs.LG]Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
    Anh Tong, Toan Tran, Hung Bui, Jaesik Choi
    http://arxiv.org/abs/2012.11339v1

    • [cs.LG]Learning Halfspaces With Membership Queries
    Ori Kelner
    http://arxiv.org/abs/2012.10985v1

    • [cs.LG]LieTransformer: Equivariant self-attention for Lie Groups
    Michael Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim
    http://arxiv.org/abs/2012.10885v1

    • [cs.LG]Machine learning applications using diffusion tensor imaging of human brain: A PubMed literature review
    Ashirbani Saha, Pantea Fadaiefard, Jessica E. Rabski, Alireza Sadeghian, Michael D. Cusimano
    http://arxiv.org/abs/2012.10517v1

    • [cs.LG]Making transport more robust and interpretable by moving data through a small number of anchor points
    Chi-Heng Lin, Mehdi Azabou, Eva L. Dyer
    http://arxiv.org/abs/2012.11589v1

    • [cs.LG]Model-Based Actor-Critic with Chance Constraint for Stochastic System
    Baiyu Peng, Yao Mu, Yang Guan, Shengbo Eben Li, Yuming Yin, Jianyu Chen
    http://arxiv.org/abs/2012.10716v1

    • [cs.LG]Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
    Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
    http://arxiv.org/abs/2012.11579v1

    • [cs.LG]Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems
    Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
    http://arxiv.org/abs/2012.10638v1

    • [cs.LG]Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification
    Zhenyu Liu, Jian Cheng
    http://arxiv.org/abs/2012.11472v1

    • [cs.LG]NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-sourced Datasets
    Runhua Xu, James Joshi, Chao Li
    http://arxiv.org/abs/2012.10547v1

    • [cs.LG]Offline Reinforcement Learning from Images with Latent Space Models
    Rafael Rafailov, Tianhe Yu, Aravind Rajeswaran, Chelsea Finn
    http://arxiv.org/abs/2012.11547v1

    • [cs.LG]On Relating ‘Why?’ and ‘Why Not?’ Explanations
    Alexey Ignatiev, Nina Narodytska, Nicholas Asher, Joao Marques-Silva
    http://arxiv.org/abs/2012.11067v1

    • [cs.LG]On Success and Simplicity: A Second Look at Transferable Targeted Attacks
    Zhengyu Zhao, Zhuoran Liu, Martha Larson
    http://arxiv.org/abs/2012.11207v1

    • [cs.LG]On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise
    Jie Shen
    http://arxiv.org/abs/2012.10793v1

    • [cs.LG]Optimising Placement of Pollution Sensors in Windy Environments
    Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
    http://arxiv.org/abs/2012.10770v1

    • [cs.LG]Personalized fall detection monitoring system based on learning from the user movements
    Pranesh Vallabh, Nazanin Malekian, Reza Malekian, Ting-Mei Li
    http://arxiv.org/abs/2012.11195v1

    • [cs.LG]Post-hoc Uncertainty Calibration for Domain Drift Scenarios
    Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner
    http://arxiv.org/abs/2012.10988v1

    • [cs.LG]Recent advances in deep learning theory
    Fengxiang He, Dacheng Tao
    http://arxiv.org/abs/2012.10931v1

    • [cs.LG]Regularization in neural network optimization via trimmed stochastic gradient descent with noisy label
    Kensuke Nakamura, Byung-Woo Hong
    http://arxiv.org/abs/2012.11073v1

    • [cs.LG]Reinforcement Learning-based Product Delivery Frequency Control
    Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu, Feng Liang
    http://arxiv.org/abs/2012.10858v1

    • [cs.LG]Sample Complexity of Adversarially Robust Linear Classification on Separated Data
    Robi Bhattacharjee, Somesh Jha, Kamalika Chaudhuri
    http://arxiv.org/abs/2012.10794v1

    • [cs.LG]Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning
    Kaiwen Wang, Travis Dick, Maria-Florina Balcan
    http://arxiv.org/abs/2012.10602v1

    • [cs.LG]Study of Energy-Efficient Distributed RLS-based Learning with Coarsely Quantized Signals
    A. Danaee, R. C. de Lamare, V. H. Nascimento
    http://arxiv.org/abs/2012.10939v1

    • [cs.LG]Sub-Linear Memory: How to Make Performers SLiM
    Valerii Likhosherstov, Krzysztof Choromanski, Jared Davis, Xingyou Song, Adrian Weller
    http://arxiv.org/abs/2012.11346v1

    • [cs.LG]Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks
    Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Mo Cheng, Yinan Shan, Yang Zhao, Ce Zhang
    http://arxiv.org/abs/2012.10831v1

    • [cs.LG]T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion
    Jaehun Jung, Jinhong Jung, U Kang
    http://arxiv.org/abs/2012.10595v1

    • [cs.LG]The COVID pandemic: socioeconomic and health disparities
    Behzad Javaheri
    http://arxiv.org/abs/2012.11399v1

    • [cs.LG]The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
    Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma
    http://arxiv.org/abs/2012.11448v1

    • [cs.LG]Top-$k$ Ranking Bayesian Optimization
    Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet
    http://arxiv.org/abs/2012.10688v1

    • [cs.LG]Toward Understanding the Influence of Individual Clients in Federated Learning
    Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lv, Fan Wu, Guihai Chen
    http://arxiv.org/abs/2012.10936v1

    • [cs.LG]Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning
    Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang
    http://arxiv.org/abs/2012.10650v1

    • [cs.LG]Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration
    Christian Tomani, Florian Buettner
    http://arxiv.org/abs/2012.10923v1

    • [cs.LG]Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach
    James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras
    http://arxiv.org/abs/2012.10791v1

    • [cs.LG]Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape
    Tommaso Zoppi, Andrea ceccarelli, Tommaso Capecchi, Andrea Bondavalli
    http://arxiv.org/abs/2012.11354v1

    • [cs.LG]Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization
    Zhuoran Yang, Yufeng Zhang, Yongxin Chen, Zhaoran Wang
    http://arxiv.org/abs/2012.11554v1

    • [cs.LG]Voting of predictive models for clinical outcomes: consensus of algorithms for the early prediction of sepsis from clinical data and an analysis of the PhysioNet/Computing in Cardiology Challenge 2019
    Matthew A. Reyna, Gari D. Clifford
    http://arxiv.org/abs/2012.11013v1

    • [cs.LG]eTREE: Learning Tree-structured Embeddings
    Faisal M. Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos
    http://arxiv.org/abs/2012.10853v1

    • [cs.LO]Incremental Verification of Fixed-Point Implementations of Neural Networks
    Luiz Sena, Erickson Alves, Iury Bessa, Eddie Filho, Lucas Cordeiro
    http://arxiv.org/abs/2012.11220v1

    • [cs.MA]Difference Rewards Policy Gradients
    Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
    http://arxiv.org/abs/2012.11258v1

    • [cs.MM]Self-Supervision based Task-Specific Image Collection Summarization
    Anurag Singh, Deepak Kumar Sharma, Sudhir Kumar Sharma, Joel J. P. C. Rodrigues
    http://arxiv.org/abs/2012.10657v1

    • [cs.NE]A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser
    Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner
    http://arxiv.org/abs/2012.11153v1

    • [cs.NE]Analyzing Dominance Move (MIP-DoM) Indicator for Multi- and Many-objective Optimization
    Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner, Kalyanmoy Deb
    http://arxiv.org/abs/2012.11557v1

    • [cs.NE]Online training for high-performance analogue readout layers in photonic reservoir computers
    Piotr Antonik, Marc Haelterman, Serge Massar
    http://arxiv.org/abs/2012.10613v1

    • [cs.NE]Random pattern and frequency generation using a photonic reservoir computer with output feedback
    Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar
    http://arxiv.org/abs/2012.10615v1

    • [cs.NI]GrADyS: Exploring movement awareness for efficient routing in Ground-and-Air Dynamic Sensor Networks
    Bruno Olivieri, Marcelo Paulon, Markus Endler
    http://arxiv.org/abs/2012.10690v1

    • [cs.NI]To Talk or to Work: Energy Efficient Federated Learning over Mobile Devices via the Weight Quantization and 5G Transmission Co-Design
    Rui Chen, Liang Li, Kaiping Xue, Chi Zhang, Lingjia Liu, Miao Pan
    http://arxiv.org/abs/2012.11070v1

    • [cs.RO]A Comparison of Three Measurement Models for the Wheel-mounted MEMS IMU-based Dead Reckoning System
    Yibin Wu, Xiaoji Niu, Jian Kuang
    http://arxiv.org/abs/2012.10589v1

    • [cs.RO]A Light Field Front-end for Robust SLAM in Dynamic Environments
    Pushyami Kaveti, Hanumant Singh
    http://arxiv.org/abs/2012.10714v1

    • [cs.RO]Analysis of Safe Ultrawideband Human-Robot Communication in Automated Collaborative Warehouse
    Branimir Ivšić, Zvonimir Šipuš, Juraj Bartolić, Josip Babić
    http://arxiv.org/abs/2012.11345v1

    • [cs.RO]Crowd-Driven Mapping, Localization and Planning
    Tingxiang Fan, Dawei Wang, Wenxi Liu, Jia Pan
    http://arxiv.org/abs/2012.10099v2

    • [cs.RO]Data-Driven Geometric System Identification for Shape-Underactuated Dissipative Systems
    Brian Bittner, Ross L. Hatton, Shai Revzen
    http://arxiv.org/abs/2012.11064v1

    • [cs.RO]Forming Human-Robot Cooperation for Tasks with General Goal using Evolutionary Value Learning
    Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang
    http://arxiv.org/abs/2012.10773v1

    • [cs.RO]Humanoid Robot Pitch Axis Stabilization using Linear Quadratic Regulator with Fuzzy Logic and Capture Point
    Bagaskara Primastya Putra, Gabrielle Satya Mahardika, Muhammad Faris, Adha Imam Cahyadi
    http://arxiv.org/abs/2012.10867v1

    • [cs.RO]Image-based Intraluminal Contact Force Monitoring in Robotic Vascular Navigation
    Masoud Razban, Javad Dargahi, Benoit Boulet
    http://arxiv.org/abs/2012.10762v1

    • [cs.RO]Mobile Robot Planner with Low-cost Cameras Using Deep Reinforcement Learning
    Minh Q. Tran, Ngoc Q. Ly
    http://arxiv.org/abs/2012.11160v1

    • [cs.RO]Path Planning and Obstacle Avoidance Scheme for Autonomous Robots using Raspberry Pi
    R. N. Somarathna
    http://arxiv.org/abs/2012.10863v1

    • [cs.RO]Rapid and High-Fidelity Subsurface Exploration with Multiple Aerial Robots
    Kshitij Goel, Wennie Tabib, Nathan Michael
    http://arxiv.org/abs/2012.10788v1

    • [cs.RO]Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation
    David M. Bossens, Danesh Tarapore
    http://arxiv.org/abs/2012.11444v1

    • [cs.RO]Reinforcement Learning based Multi-Robot Classification via Scalable Communication Structure
    Guangyi Liu, Arash Amini, Martin Takáč, Héctor Muñoz-Avila, Nader Motee
    http://arxiv.org/abs/2012.10480v1

    • [cs.RO]Sensor-Based Temporal Logic Planning in Uncertain Semantic Maps
    Yiannis Kantaros, Qi Jin, George J. Pappas
    http://arxiv.org/abs/2012.10490v1

    • [cs.RO]Sim-to-real for high-resolution optical tactile sensing: From images to 3D contact force distributions
    Carmelo Sferrazza, Raffaello D’Andrea
    http://arxiv.org/abs/2012.11295v1

    • [cs.RO]Simulation Environment for Safety Assessment of CEAV Deployment in Linden
    Levent Guvenc, Bilin Aksun-Guvenc, Xinchen Li, Aravind Chandradoss Arul Doss, Karina Meneses-Cime, Sukru Yaren Gelbal
    http://arxiv.org/abs/2012.10498v1

    • [cs.RO]Towards Complex and Continuous Manipulation: A Gesture Based Anthropomorphic Robotic Hand Design
    Li Tian, Hanhui Li, Qifa Wang, Xuezeng Du, Jialin Tao, Jordan Sia Chong, Nadia Magnenat Thalmann, Jianmin Zheng
    http://arxiv.org/abs/2012.10981v1

    • [cs.RO]Weight-Based Exploration for Unmanned Aerial Teams Searching for Multiple Survivors
    Sarthak J. Shetty, Debasish Ghose
    http://arxiv.org/abs/2012.11131v1

    • [cs.RO]Wheel-INS2: Multiple MEMS IMU-based Dead Reckoning System for Wheeled Robots with Evaluation of Different IMU Configurations
    Yibin Wu, Jian Kuang, Xiaoji Niu
    http://arxiv.org/abs/2012.10593v1

    • [cs.SD]Adjust-free adversarial example generation in speech recognition using evolutionary multi-objective optimization under black-box condition
    Shoma Ishida
    http://arxiv.org/abs/2012.11138v1

    • [cs.SD]Multi-stream Convolutional Neural Network with Frequency Selection for Robust Speaker Verification
    Wei Yao, Shen Chen, Jiamin Cui, Yaolin Lou
    http://arxiv.org/abs/2012.11159v1

    • [cs.SE]Market-level Analysis of Government-backed COVID-19 Contact Tracing Apps
    Huiyi Wang, Liu Wang, Haoyu Wang
    http://arxiv.org/abs/2012.10866v1

    • [cs.SI]Centrally Administered State-Owned Enterprises’ Engagement in China’s Public-Private Partnerships: A Social Network Analysis
    Min Xiong, Travis A. Whetsell, Jerry, Zhao, Shaoming Cheng
    http://arxiv.org/abs/2012.11006v1

    • [cs.SI]Comparing Suicide Risk Insights derived from Clinical and Social Media data
    Rohith K. Thiruvalluru, Manas Gaur, Krishnaprasad Thirunarayan, Amit Sheth, Jyotishman Pathak
    http://arxiv.org/abs/2012.11393v1

    • [cs.SI]Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content
    Wilson Ceron, Mathias-Felipe de-Lima-Santos, Marcos G. Quiles
    http://arxiv.org/abs/2012.11004v1

    • [cs.SI]Unifying Homophily and Heterophily Network Transformation via Motifs
    Yan Ge, Jun Ma, Li Zhang, Haiping Lu
    http://arxiv.org/abs/2012.11400v1

    • [econ.EM]Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
    Mochen Yang, Edward McFowland III, Gordon Burtch, Gediminas Adomavicius
    http://arxiv.org/abs/2012.10790v1

    • [econ.EM]Weak Identification with Bounds in a Class of Minimum Distance Models
    Gregory Cox
    http://arxiv.org/abs/2012.11222v1

    • [eess.AS]Unsupervised Cross-Lingual Speech Emotion Recognition Using DomainAdversarial Neural Network
    Xiong Cai, Zhiyong Wu, Kuo Zhong, Bin Su, Dongyang Dai, Helen Meng
    http://arxiv.org/abs/2012.11174v1

    • [eess.IV]A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views?
    Yi Ding, Wei Zheng, Guozheng Wu, Ji Geng, Mingsheng Cao, Zhiguang Qin
    http://arxiv.org/abs/2012.11211v1

    • [eess.IV]A Shift-insensitive Full Reference Image Quality Assessment Model Based on Quadratic Sum of Gradient Magnitude and LOG signals
    Congmin Chen, Xuanqin Mou
    http://arxiv.org/abs/2012.11525v1

    • [eess.IV]Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks
    Matthew Sinclair, Andreas Schuh, Karl Hahn, Kersten Petersen, Ying Bai, James Batten, Michiel Schaap, Ben Glocker
    http://arxiv.org/abs/2012.10533v1

    • [eess.IV]Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review
    Tahira Iqbal, Arslan Shaukat, Usman Akram
    http://arxiv.org/abs/2012.11214v1

    • [eess.IV]CCML: A Novel Collaborative Learning Model for Classification of Remote Sensing Images with Noisy Multi-Labels
    Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begum Demir
    http://arxiv.org/abs/2012.10715v1

    • [eess.IV]Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality
    Aliaksei Mikhailiuk, Maria Perez-Ortiz, Dingcheng Yue, Wilson Suen, Rafal K. Mantiuk
    http://arxiv.org/abs/2012.10758v1

    • [eess.IV]Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays
    Rishab Khincha, Soundarya Krishnan, Krishnan Guru-Murthy, Tirtharaj Dash, Lovekesh Vig, Ashwin Srinivasan
    http://arxiv.org/abs/2012.10787v1

    • [eess.IV]Deep Learning in Detection and Diagnosis of Covid-19 using Radiology Modalities: A Systematic Review
    Mustafa Ghaderzadeh, Farkhondeh Asadi
    http://arxiv.org/abs/2012.11577v1

    • [eess.IV]MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation
    Yutong Cai, Yong Wang
    http://arxiv.org/abs/2012.10952v1

    • [eess.IV]Recent Developments in Detection of Central Serous Retinopathy through Imaging and Artificial Intelligence Techniques A Review
    Syed Ale Hassan, Shahzad Akbar, Amjad Rehman, Usman Tariq, Tanzila Saba, Rashid Abbasi
    http://arxiv.org/abs/2012.10961v1

    • [eess.SP]Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks
    Yasar Sinan Nasir, Dongning Guo
    http://arxiv.org/abs/2012.10682v1

    • [eess.SP]Domain-adaptive Fall Detection Using Deep Adversarial Training
    Kai-Chun Liu, Michael Chan, Chia-Yeh Hsieh, Hsiang-Yun Huang, Chia-Tai Chan, Yu Tsao
    http://arxiv.org/abs/2012.10911v1

    • [eess.SP]Resting-state EEG sex classification using selected brain connectivity representation
    Jean Li, Jeremiah D. Deng, Divya Adhia, Dirk de Ridder
    http://arxiv.org/abs/2012.11105v1

    • [eess.SY]A Comprehensive Survey of Machine Learning Based Localization with Wireless Signals
    Daoud Burghal, Ashwin T. Ravi, Varun Rao, Abdullah A. Alghafis, Andreas F. Molisch
    http://arxiv.org/abs/2012.11171v1

    • [eess.SY]A Game Theoretic Perspective into the Coexistence of WiFi and NR-U at the 6GHz Unlicensed Bands
    Aniq Ur Rahman, Mustafa A. Kishk, Mohamed-Slim Alouini
    http://arxiv.org/abs/2012.10644v1

    • [eess.SY]Parameter Identification for Digital Fabrication: A Gaussian Process Learning Approach
    Yvonne R. Stürz, Mohammad Khosravi, Roy S. Smith
    http://arxiv.org/abs/2012.11022v1

    • [math.CO]Recursive methods for some problems in coding and random permutations
    Ghurumuruhan Ganesan
    http://arxiv.org/abs/2012.10896v1

    • [math.MG]Family Ties: Relating Poncelet 3-Periodics by their Properties
    Ronaldo Garcia, Dan Reznik
    http://arxiv.org/abs/2012.11270v1

    • [math.NA]Parallel Prony’s method with multivariate matrix pencil approach and its numerical aspect
    Nela Bosner
    http://arxiv.org/abs/2012.11430v1

    • [math.OC]On the Efficient Implementation of the Matrix Exponentiated Gradient Algorithm for Low-Rank Matrix Optimization
    Dan Garber, Atara Kaplan
    http://arxiv.org/abs/2012.10469v1

    • [math.PR]Copula Measures and Sklar’s Theorem in Arbitrary Dimensions
    Fred Espen Benth, Giulia Di Nunno, Dennis Schroers
    http://arxiv.org/abs/2012.11530v1

    • [math.PR]The level crossings of random sums
    Christopher Corley, Andrew Ledoan
    http://arxiv.org/abs/2012.10596v1

    • [math.ST]Aspects of optimality of plans orthogonal through other factors
    Bhaskar Bagchi, Sunanda Bagchi
    http://arxiv.org/abs/2012.11180v1

    • [math.ST]Asymptotic distribution of certain degenerate V- and U-statistics with estimated parameters
    Marija Cuparić, Bojana Milošević, Marko Obradović
    http://arxiv.org/abs/2012.11020v1

    • [math.ST]Entropy-regularized optimal transport on multivariate normal and q-normal distributions
    Qijun Tong, Kei Kobayashi
    http://arxiv.org/abs/2012.10623v1

    • [math.ST]Fiducial inference then and now
    Philip Dawid
    http://arxiv.org/abs/2012.10689v1

    • [math.ST]Optimality of multi-way designs
    Sunanda Bagchi, Bhaskar Bagchi
    http://arxiv.org/abs/2012.11478v1

    • [math.ST]Towards Conditional Path Analysis
    Jose M. Peña
    http://arxiv.org/abs/2012.11281v1

    • [physics.flu-dyn]Auto-Encoded Reservoir Computing for Turbulence Learning
    Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
    http://arxiv.org/abs/2012.10968v1

    • [quant-ph]Physical Implementability of Quantum Maps and Its Application in Error Mitigation
    Jiaqing Jiang, Kun Wang, Xin Wang
    http://arxiv.org/abs/2012.10959v1

    • [quant-ph]Quantum reinforcement learning in continuous action space
    Shaojun Wu, Shan Jin, Dingding Wen, Xiaoting Wang
    http://arxiv.org/abs/2012.10711v1

    • [quant-ph]Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis
    Brian Coyle, Mina Doosti, Elham Kashefi, Niraj Kumar
    http://arxiv.org/abs/2012.11424v1

    • [stat.AP]A Bayesian State-Space Approach to Mapping Directional Brain Networks
    Huazhang Li, Yaotian Wang, Guofen Yan, Yinge Sun, Seiji Tanabe, Chang-Chia Liu, Mark Quigg, Tingting Zhang
    http://arxiv.org/abs/2012.11114v1

    • [stat.AP]A Spatiotemporal Functional Model for Bike-Sharing Systems — An Example based on the City of Helsinki
    Andreas Piter, Philipp Otto, Hamza Alkhatib
    http://arxiv.org/abs/2012.10746v1

    • [stat.AP]An Approach to Gender Pay Equity Analysis Using Bayesian Hierarchical Regression
    Diana Cesar
    http://arxiv.org/abs/2012.11411v1

    • [stat.AP]Anomaly detection and classification in traffic flow data from fluctuations in the flow-density relationship
    Kieran Kalair, Colm Connaughton
    http://arxiv.org/abs/2012.11361v1

    • [stat.AP]Nonstationarity Analysis of Materials Microstructures via Fisher Score Vectors
    Kungang Zhang, Daniel W. Apley, Wei Chen
    http://arxiv.org/abs/2012.11135v1

    • [stat.AP]The Evolution of Dynamic Gaussian Process Model with Applications to Malaria Vaccine Coverage Prediction
    Pritam Ranjan, M. Harshvardhan
    http://arxiv.org/abs/2012.11124v1

    • [stat.AP]The FLOod Probability Interpolation Tool (FLOPIT): Improving Spatial Flood Probability Quantification and Communication Through Higher Resolution Mapping
    Mahkameh Zarekarizi, K. Joel Roop-Eckart, Sanjib Sharma, Klaus Keller
    http://arxiv.org/abs/2012.10590v1

    • [stat.AP]Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors
    Amay SM Cheam, Marc Fredette, Matthieu Marbac, Fabien Navarro
    http://arxiv.org/abs/2012.10629v1

    • [stat.ME]A comparison of learning rate selection methods in generalized Bayesian inference
    Pei-Shien Wu, Ryan Martin
    http://arxiv.org/abs/2012.11349v1

    • [stat.ME]A critical review of LASSO and its derivatives for variable selection under dependence among covariates
    Laura Freijeiro-González, Manuel Febrero-Bande, Wenceslao González-Manteiga
    http://arxiv.org/abs/2012.11470v1

    • [stat.ME]Bayesian Conditional Transformation Models
    Manuel Carlan, Thomas Kneib, Nadja Klein
    http://arxiv.org/abs/2012.11016v1

    • [stat.ME]Dimension-robust Function Space MCMC With Neural Network Priors
    Torben Sell, Sumeetpal S. Singh
    http://arxiv.org/abs/2012.10943v1

    • [stat.ME]Functional time series forecasting of extreme values
    Han Lin Shang, Ruofan Xu
    http://arxiv.org/abs/2012.10763v1

    • [stat.ME]High-Dimensional Spatial Quantile Function-on-Scalar Regression
    Zhengwu Zhang, Xiao Wang, Linglong Kong, Hongtu Zhu
    http://arxiv.org/abs/2012.10579v1

    • [stat.ME]How to estimate the association between change in a risk factor and a health outcome?
    Michail Katsoulis, Alvina G Lai, Dimitra-Kleio Kipourou, Reecha Sofat, Manuel Gomes, Amitava Banerjee, Spiros Denaxas, Thomas R Lumbers, Kostas Tsilidis, Harry Hemingway, Karla Diaz-Ordaz
    http://arxiv.org/abs/2012.11291v1

    • [stat.ME]Identifying latent groups in spatial panel data using a Markov random field constrained product partition model
    Tianyu Pan, Guanyu Hu, Weining Shen
    http://arxiv.org/abs/2012.10541v1

    • [stat.ME]Identifying the latent space geometry of network models through analysis of curvature
    Shane Lubold, Arun G. Chandrasekhar, Tyler H. McCormick
    http://arxiv.org/abs/2012.10559v1

    • [stat.ME]Independent Approximates enabling closed-form estimation of heavy-tailed distributions
    Kenric P. Nelson
    http://arxiv.org/abs/2012.11026v1

    • [stat.ME]Inference in experiments conditional on observed imbalances in covariates
    Per Johansson, Mattias Nordin
    http://arxiv.org/abs/2012.10686v1

    • [stat.ME]Measurement bias: a structure perspective
    Yijie Li, Wei Fan, Miao Zhang, Lili Liu, Jiangbo Bao, Yingjie Zheng
    http://arxiv.org/abs/2012.10980v1

    • [stat.ME]Multilevel Approximation for Generalized Method of Moments Estimators
    Alexandros Gilch, Michael Griebel, Jens Oettershagen
    http://arxiv.org/abs/2012.11501v1

    • [stat.ME]On a length-biased Birnbaum-Saunders regression model applied to meteorological data
    Kessys L. P. Oliveira, Bruno S. Castro, Helton Saulo, Roberto Vila
    http://arxiv.org/abs/2012.10760v1

    • [stat.ME]Prevalence Estimation from Random Samples and Census Data with Participation Bias
    Stephane Guerrier, Christoph Kuzmics, Maria-Pia Victoriq-Feser
    http://arxiv.org/abs/2012.10745v1

    • [stat.ME]Revisiting ICH E9 (R1) during the COVID-19 pandemic
    Yongming Qu, Ilya Lipkovich
    http://arxiv.org/abs/2012.10796v1

    • [stat.ME]Robust mixture regression with Exponential Power distribution
    Xiao Chen
    http://arxiv.org/abs/2012.10637v1

    • [stat.ME]Score Matched Conditional Exponential Families for Likelihood-Free Inference
    Lorenzo Pacchiardi, Ritabrata Dutta
    http://arxiv.org/abs/2012.10903v1

    • [stat.ME]Statistical Modelling and Analysis of the Computer-Simulated Datasets
    M. Harshvardhan, Pritam Ranjan
    http://arxiv.org/abs/2012.11122v1

    • [stat.ME]TVOR: Finding Discrete Total Variation Outliers among Histograms
    Nikola Banić, Neven Elezović
    http://arxiv.org/abs/2012.11574v1

    • [stat.ME]Two-directional simultaneous inference for high-dimensional models
    Wei Liu, Huazhen Lin, Jin Liu, Shurong Zheng
    http://arxiv.org/abs/2012.11100v1

    • [stat.ME]Uncertainty on the Reproduction Ratio in the SIR Model
    Sean Elliott, Christian Gourieroux
    http://arxiv.org/abs/2012.11542v1

    • [stat.ML](Decision and regression) tree ensemble based kernels for regression and classification
    Dai Feng, Richard Baumgartner
    http://arxiv.org/abs/2012.10737v1

    • [stat.ML]Adversarial training for continuous robustness control problem in power systems
    Loïc Omnes, Antoine Marot, Benjamin Donnot
    http://arxiv.org/abs/2012.11390v1

    • [stat.ML]Complexity of zigzag sampling algorithm for strongly log-concave distributions
    Jianfeng Lu, Lihan Wang
    http://arxiv.org/abs/2012.11094v1

    • [stat.ML]SPlit: An Optimal Method for Data Splitting
    V. Roshan Joseph, Akhil Vakayil
    http://arxiv.org/abs/2012.10945v1

    • [stat.ML]Spatial Monte Carlo Integration with Annealed Importance Sampling
    Muneki Yasuda, Kaiji Sekimoto
    http://arxiv.org/abs/2012.11198v1

    • [stat.ML]Unfolded Algorithms for Deep Phase Retrieval
    Naveed Naimipour, Shahin Khobahi, Mojtaba Soltanalian
    http://arxiv.org/abs/2012.11102v1

    • [stat.ML]Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework
    Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney
    http://arxiv.org/abs/2012.11518v1