cond-mat.mtrl-sci - 材料科学

    cs.AI - 人工智能 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.DL - 数字图书馆 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 q-fin.CP -计算金融学 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

    • [cond-mat.mtrl-sci]Comprehensive process-molten pool relations modeling using CNN for wire-feed laser additive manufacturing
    • [cs.AI]Collaborative Agent Gameplay in the Pandemic Board Game
    • [cs.AI]Dual Monte Carlo Tree Search
    • [cs.AI]Evaluating Perceived Usefulness and Ease of Use of CMMN and DCR
    • [cs.AI]Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals
    • [cs.AI]Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning
    • [cs.AI]Mining GIS Data to Predict Urban Sprawl
    • [cs.AI]Monte Carlo Information-Oriented Planning
    • [cs.AI]Policy-Guided Heuristic Search with Guarantees
    • [cs.AI]Raven’s Progressive Matrices Completion with Latent Gaussian Process Priors
    • [cs.AI]Recognizing LTLf/PLTLf Goals in Fully Observable Non-Deterministic Domain Models
    • [cs.AI]Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
    • [cs.AI]SuSketch: Surrogate Models of Gameplay as a Design Assistant
    • [cs.AI]Transforming Exploratory Creativity with DeLeNoX
    • [cs.CG]On Subspace Approximation and Subset Selection in Fewer Passes by MCMC Sampling
    • [cs.CL]#LaCulturaNonsiFerma: Report on Use and Diffusion of #Hashtags from the Italian Cultural Institutions during the COVID-19 outbreak
    • [cs.CL]A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
    • [cs.CL]AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization
    • [cs.CL]Alleviate Exposure Bias in Sequence Prediction \ with Recurrent Neural Networks
    • [cs.CL]Attribute Alignment: Controlling Text Generation from Pre-trained Language Models
    • [cs.CL]BERT: A Review of Applications in Natural Language Processing and Understanding
    • [cs.CL]BlonD: An Automatic Evaluation Metric for Document-level MachineTranslation
    • [cs.CL]Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management
    • [cs.CL]Complementary Evidence Identification in Open-Domain Question Answering
    • [cs.CL]Conceptual similarity and communicative need shape colexification: an experimental study
    • [cs.CL]Dependency Graph-to-String Statistical Machine Translation
    • [cs.CL]Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach
    • [cs.CL]Extracting the Unknown from Long Math Problems
    • [cs.CL]Identifying Machine-Paraphrased Plagiarism
    • [cs.CL]Improving and Simplifying Pattern Exploiting Training
    • [cs.CL]L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset
    • [cs.CL]Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources
    • [cs.CL]Local Interpretations for Explainable Natural Language Processing: A Survey
    • [cs.CL]MasakhaNER: Named Entity Recognition for African Languages
    • [cs.CL]Monolingual and Parallel Corpora for Kangri Low Resource Language
    • [cs.CL]NameRec*: Highly Accurate and Fine-grained Person Name Recognition
    • [cs.CL]Non-Autoregressive Translation by Learning Target Categorical Codes
    • [cs.CL]Nutri-bullets: Summarizing Health Studies by Composing Segments
    • [cs.CL]Open Domain Question Answering over Tables via Dense Retrieval
    • [cs.CL]Overprotective Training Environments Fall Short at Testing Time: Let Models Contribute to Their Own Training
    • [cs.CL]Part of speech and gramset tagging algorithms for unknown words based on morphological dictionaries of the Veps and Karelian languages
    • [cs.CL]Prototypical Representation Learning for Relation Extraction
    • [cs.CL]Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
    • [cs.CL]ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques
    • [cs.CL]SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus
    • [cs.CL]Self-Supervised Test-Time Learning for Reading Comprehension
    • [cs.CL]SparseGAN: Sparse Generative Adversarial Network for Text Generation
    • [cs.CL]Structural block driven - enhanced convolutional neural representation for relation extraction
    • [cs.CL]SwissDial: Parallel Multidialectal Corpus of Spoken Swiss German
    • [cs.CL]TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora
    • [cs.CL]TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
    • [cs.CL]The Effectiveness of Morphology-aware Segmentation in Low-Resource Neural Machine Translation
    • [cs.CL]The Interplay of Task Success and Dialogue Quality: An in-depth Evaluation in Task-Oriented Visual Dialogues
    • [cs.CL]Token-wise Curriculum Learning for Neural Machine Translation
    • [cs.CL]Triage and diagnosis of COVID-19 from medical social media
    • [cs.CR]A General and Configurable Framework for Blockchain-based Marketplaces
    • [cs.CR]Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions
    • [cs.CR]Don’t Tell Me The Cybersecurity Moon Is Shining… (Cybersecurity Show And Tell)
    • [cs.CR]Preliminary Analysis of Potential Harms in the Luca Tracing System
    • [cs.CR]Round and Communication Balanced Protocols for Oblivious Evaluation of Finite State Machines
    • [cs.CR]Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation
    • [cs.CV]#PraCegoVer: A Large Dataset for Image Captioning in Portuguese
    • [cs.CV]3DMNDT:3D multi-view registration method based on the normal distributions transform
    • [cs.CV]3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model
    • [cs.CV]A Batch Normalization Classifier for Domain Adaptation
    • [cs.CV]A Learned Compact and Editable Light Field Representation
    • [cs.CV]A Modular and Unified Framework for Detecting and Localizing Video Anomalies
    • [cs.CV]A New Efficient Numbering System : Application to Numbers Generation and Visual Markers Design
    • [cs.CV]A Novel Upsampling and Context Convolution for Image Semantic Segmentation
    • [cs.CV]A Survey of Hand Crafted and Deep Learning Methods for Image Aesthetic Assessment
    • [cs.CV]A first step towards automated species recognition from camera trap images of mammals using AI in a European temperate forest
    • [cs.CV]A novel multimodal fusion network based on a joint coding model for lane line segmentation
    • [cs.CV]AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis
    • [cs.CV]AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision
    • [cs.CV]AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition
    • [cs.CV]Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets
    • [cs.CV]Anchor-Free Person Search
    • [cs.CV]Are High-Frequency Components Beneficial for Training of Generative Adversarial Networks
    • [cs.CV]Artificial intelligence for detection and quantification of rust and leaf miner in coffee crop
    • [cs.CV]AutoSpace: Neural Architecture Search with Less Human Interference
    • [cs.CV]Automatic Quantification of Facial Asymmetry using Facial Landmarks
    • [cs.CV]AxonNet: A self-supervised Deep Neural Network for Intravoxel Structure Estimation from DW-MRI
    • [cs.CV]Bootstrapped Self-Supervised Training with Monocular Video for Semantic Segmentation and Depth Estimation
    • [cs.CV]Brain Image Synthesis with Unsupervised Multivariate Canonical CSC今日学术视野(2021.3.24) - 图1Net
    • [cs.CV]Classifier Crafting: Turn Your ConvNet into a Zero-Shot Learner!
    • [cs.CV]Cluster Contrast for Unsupervised Person Re-Identification
    • [cs.CV]ConDA: Continual Unsupervised Domain Adaptation
    • [cs.CV]Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation
    • [cs.CV]Context-Aware Layout to Image Generation with Enhanced Object Appearance
    • [cs.CV]Context-aware Biaffine Localizing Network for Temporal Sentence Grounding
    • [cs.CV]Control Distance IoU and Control Distance IoU Loss Function for Better Bounding Box Regression
    • [cs.CV]Cross-Dataset Collaborative Learning for Semantic Segmentation
    • [cs.CV]Deconvolution-and-convolution Networks
    • [cs.CV]Deep Dense Multi-scale Network for Snow Removal Using Semantic and Geometric Priors
    • [cs.CV]Deep Distribution-preserving Incomplete Clustering with Optimal Transport
    • [cs.CV]Deep Neural Networks Learn Meta-Structures to Segment Fluorescence Microscopy Images
    • [cs.CV]Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion
    • [cs.CV]DeepViT: Towards Deeper Vision Transformer
    • [cs.CV]Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse
    • [cs.CV]Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales
    • [cs.CV]Efficient Global Optimization of Non-differentiable, Symmetric Objectives for Multi Camera Placement
    • [cs.CV]Efficient Spatialtemporal Context Modeling for Action Recognition
    • [cs.CV]Efficient Subsampling for Generating High-Quality Images from Conditional Generative Adversarial Networks
    • [cs.CV]Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification
    • [cs.CV]Handling Missing Observations with an RNN-based Prediction-Update Cycle
    • [cs.CV]Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification
    • [cs.CV]High Resolution Face Editing with Masked GAN Latent Code Optimization
    • [cs.CV]Human De-occlusion: Invisible Perception and Recovery for Humans
    • [cs.CV]ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing
    • [cs.CV]Incorporating Convolution Designs into Visual Transformers
    • [cs.CV]Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
    • [cs.CV]Intra-Inter Camera Similarity for Unsupervised Person Re-Identification
    • [cs.CV]LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
    • [cs.CV]LaneAF: Robust Multi-Lane Detection with Affinity Fields
    • [cs.CV]Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling
    • [cs.CV]Learning Calibrated-Guidance for Object Detection in Aerial Images
    • [cs.CV]Learning Multi-Scene Absolute Pose Regression with Transformers
    • [cs.CV]MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation
    • [cs.CV]Meta-DETR: Few-Shot Object Detection via Unified Image-Level Meta-Learning
    • [cs.CV]MoViNets: Mobile Video Networks for Efficient Video Recognition
    • [cs.CV]MogFace: Rethinking Scale Augmentation on the Face Detector
    • [cs.CV]MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans
    • [cs.CV]Multi-level Metric Learning for Few-shot Image Recognition
    • [cs.CV]Multi-view analysis of unregistered medical images using cross-view transformers
    • [cs.CV]Multimodal Motion Prediction with Stacked Transformers
    • [cs.CV]Natural Perturbed Training for General Robustness of Neural Network Classifiers
    • [cs.CV]Neural Lumigraph Rendering
    • [cs.CV]Optimization for Oriented Object Detection via Representation Invariance Loss
    • [cs.CV]PGT: A Progressive Method for Training Models on Long Videos
    • [cs.CV]Patch AutoAugment
    • [cs.CV]Paying Attention to Activation Maps in Camera Pose Regression
    • [cs.CV]Paying Attention to Multiscale Feature Maps in Multimodal Image Matching
    • [cs.CV]Polarization Guided Specular Reflection Separation
    • [cs.CV]Prioritized Architecture Sampling with Monto-Carlo Tree Search
    • [cs.CV]PriorityCut: Occlusion-guided Regularization for Warp-based Image Animation
    • [cs.CV]Progressive and Aligned Pose Attention Transfer for Person Image Generation
    • [cs.CV]Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation
    • [cs.CV]Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-Identification
    • [cs.CV]Responsible AI: Gender bias assessment in emotion recognition
    • [cs.CV]Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval
    • [cs.CV]SSD: A Unified Framework for Self-Supervised Outlier Detection
    • [cs.CV]ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning
    • [cs.CV]Self adversarial attack as an augmentation method for immunohistochemical stainings
    • [cs.CV]Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry
    • [cs.CV]Stereo CenterNet based 3D Object Detection for Autonomous Driving
    • [cs.CV]TDIOT: Target-driven Inference for Deep Video Object Tracking
    • [cs.CV]TICaM: A Time-of-flight In-car Cabin Monitoring Dataset
    • [cs.CV]Tangent Space Backpropogation for 3D Transformation Groups
    • [cs.CV]Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation
    • [cs.CV]Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization
    • [cs.CV]Traffic Camera Calibration via Vehicle Vanishing Point Detection
    • [cs.CV]Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking
    • [cs.CV]UAV Images Dataset for Moving Object Detection from Moving Cameras
    • [cs.CV]Unsupervised Two-Stage Anomaly Detection
    • [cs.CV]Unsupervised and self-adaptative techniques for cross-domain person re-identification
    • [cs.CV]Video Class Agnostic Segmentation Benchmark for Autonomous Driving
    • [cs.CV]Visualization of Deep Transfer Learning In SAR Imagery
    • [cs.CV]Well Separated Pair Decomposition and power weighted shortest path metric algorithm fusion
    • [cs.CV]n-hot: Efficient bit-level sparsity for powers-of-two neural network quantization
    • [cs.CY]AI Specialization for Pathways of Economic Diversification
    • [cs.CY]Fairmandering: A column generation heuristic for fairness-optimized political districting
    • [cs.CY]Let’s Ask Students About Their Programs, Automatically
    • [cs.DB]BigCarl: Mining frequent subnets from a single large Petri net
    • [cs.DC]Differentiated nonblocking: a new progress condition and a matching queue algorithm
    • [cs.DC]Enabling OpenMP Task Parallelism on Multi-FPGAs
    • [cs.DC]Graph Transformation and Specialized Code Generation For Sparse Triangular Solve (SpTRSV)
    • [cs.DC]Groovy Parallel Patterns: A Process oriented Parallelization Library
    • [cs.DC]SP Async:Single Source Shortest Path in Asynchronous Mode on MPI
    • [cs.DL]Grand challenges and emergent modes of convergence science
    • [cs.DL]Research networks generated by organizational structures, co-authorships and citations: A Case Study of German Centre for Integrative Biodiversity Research (iDiv)
    • [cs.HC]Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature
    • [cs.HC]Insight-centric Visualization Recommendation
    • [cs.IR]Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records
    • [cs.IR]Detecting and Understanding Branching Frequency Changes in Process Models
    • [cs.IR]Social Link Inference via Multi-View Matching Network from Spatio-Temporal Trajectories
    • [cs.IR]Structural Textile Pattern Recognition and Processing Based on Hypergraphs
    • [cs.IT]A Survey on Estimation Schemes in Molecular Communications
    • [cs.IT]Attending Sudan’s decoding radius with no genus penalty for algebraic geometry codes
    • [cs.IT]Beam-Squint Mitigating for Reconfigurable Intelligent Surface Aided Wideband MmWave Communications
    • [cs.IT]Hierarchical Hybrid Error Correction for Time-Sensitive Devices at the Edge
    • [cs.IT]Joint Analog Beam Selection and Digital Beamforming in Millimeter Wave Cell-Free Massive MIMO Systems
    • [cs.IT]Joint Resource Allocation and Cache Placement for Location-Aware Multi-User Mobile Edge Computing
    • [cs.IT]Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access Networks
    • [cs.IT]Model-based Learning Network for 3-D Localization in mmWave Communications
    • [cs.IT]Multi-Transmitter Coded Caching Networks with Transmitter-side Knowledge of File Popularity
    • [cs.IT]Multi-sequence Spreading Random Access (MSRA) for Compressive Sensing-based Grant-free Communication
    • [cs.IT]New constructions of MDS self-dual and self-orthogonal codes via GRS codes
    • [cs.IT]Nonlinear RF Fingerprints Authentication for OFDM Wireless Devices based on Demodulated Symbols
    • [cs.IT]On cumulative residual (past) inaccuracy for truncated random variables
    • [cs.IT]QoS-Constrained Federated Learning Empowered by Intelligent Reflecting Surface
    • [cs.IT]RIS Configuration, Beamformer Design, and Power Control in Single-Cell and Multi-Cell Wireless Networks
    • [cs.IT]Radar Information Theory for Joint Communication and Parameter Estimation with Passive Targets
    • [cs.IT]Rate-Diverse Gaussian Multiple Access: Efficient Encoder and Decoder Designs
    • [cs.IT]Robust Cell-Load Learning with a Small Sample Set
    • [cs.IT]Secure list decoding and its application to bit-string commitment
    • [cs.IT]Set-Theoretic Learning for Detection in Cell-Less C-RAN Systems
    • [cs.IT]Spark Deficient Gabor Frame Provides a Novel Analysis Operator for Compressed Sensing
    • [cs.IT]Study of Design of Rate-Compatible Polar Codes Based on Non-Uniform Channel Polarization
    • [cs.LG]A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout
    • [cs.LG]A Federated Learning Framework in Smart Grid: Securing Power Traces in Collaborative Learning
    • [cs.LG]A Link between Coding Theory and Cross-Validation with Applications
    • [cs.LG]ActivationNet: Representation learning to predict contact quality of interacting 3-D surfaces in engineering designs
    • [cs.LG]Adversarially Optimized Mixup for Robust Classification
    • [cs.LG]An Empirical Framework for Domain Generalization in Clinical Settings
    • [cs.LG]An Experimental Review on Deep Learning Architectures for Time Series Forecasting
    • [cs.LG]Bayesian Distributional Policy Gradients
    • [cs.LG]Boundary Attributions Provide Normal (Vector) Attributions
    • [cs.LG]Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
    • [cs.LG]Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification
    • [cs.LG]Compacting Deep Neural Networks for Internet of Things: Methods and Applications
    • [cs.LG]Conditional Frechet Inception Distance
    • [cs.LG]Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions
    • [cs.LG]DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation
    • [cs.LG]Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction
    • [cs.LG]Demystifying the Effects of Non-Independence in Federated Learning
    • [cs.LG]Detecting Label Noise via Leave-One-Out Cross Validation
    • [cs.LG]Detecting Racial Bias in Jury Selection
    • [cs.LG]Detection of fake news on CoViD-19 on Web Search Engines
    • [cs.LG]Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection
    • [cs.LG]Enhanced Principal Component Analysis under A Collaborative-Robust Framework
    • [cs.LG]Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing
    • [cs.LG]ExAD: An Ensemble Approach for Explanation-based Adversarial Detection
    • [cs.LG]Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems
    • [cs.LG]Forest Fire Clustering: Cluster-oriented Label Propagation Clustering and Monte Carlo Verification Inspired by Forest Fire Dynamics
    • [cs.LG]Grey-box Adversarial Attack And Defence For Sentiment Classification
    • [cs.LG]Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units
    • [cs.LG]Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units
    • [cs.LG]Hidden Technical Debts for Fair Machine Learning in Financial Services
    • [cs.LG]Homophily Outlier Detection in Non-IID Categorical Data
    • [cs.LG]How to Design Sample and Computationally Efficient VQA Models
    • [cs.LG]Hybrid Model for Patent Classification using Augmented SBERT and KNN
    • [cs.LG]Improving Actor-Critic Reinforcement Learning via Hamiltonian Policy
    • [cs.LG]Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
    • [cs.LG]Intersection Regularization for Extracting Semantic Attributes
    • [cs.LG]Knowledge Discovery in Surveys using Machine Learning: A Case Study of Women in Entrepreneurship in UAE
    • [cs.LG]Language-Agnostic Representation Learning of Source Code from Structure and Context
    • [cs.LG]Learning physical properties of anomalous random walks using graph neural networks
    • [cs.LG]Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets
    • [cs.LG]Learning to Simulate on Sparse Trajectory Data
    • [cs.LG]Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction
    • [cs.LG]Machine Learning Emulation of 3D Cloud Radiative Effects
    • [cs.LG]NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments
    • [cs.LG]Neighbor Embedding Variational Autoencoder
    • [cs.LG]On the Robustness of Monte Carlo Dropout Trained with Noisy Labels
    • [cs.LG]Online Convex Optimization with Continuous Switching Constraint
    • [cs.LG]Online Strongly Convex Optimization with Unknown Delays
    • [cs.LG]Predictive Maintenance — Bridging Artificial Intelligence and IoT
    • [cs.LG]ProgressiveSpinalNet architecture for FC layers
    • [cs.LG]Projection-free Distributed Online Learning with Strongly Convex Losses
    • [cs.LG]Provably Correct Optimization and Exploration with Non-linear Policies
    • [cs.LG]Real-time End-to-End Federated Learning: An Automotive Case Study
    • [cs.LG]Recognizing Predictive Substructures with Subgraph Information Bottleneck
    • [cs.LG]Recovery of Joint Probability Distribution from one-way marginals: Low rank Tensors and Random Projections
    • [cs.LG]S
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    mart Scheduling based on Deep Reinforcement Learning for Cellular Networks
    • [cs.LG]Self-supervised Representation Learning with Relative Predictive Coding
    • [cs.LG]Server Averaging for Federated Learning
    • [cs.LG]Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning
    • [cs.LG]Spatio-Temporal Data Mining for Aviation Delay Prediction
    • [cs.LG]Spatio-Temporal Neural Network for Fitting and Forecasting COVID-19
    • [cs.LG]Stability and Deviation Optimal Risk Bounds with Convergence Rate 今日学术视野(2021.3.24) - 图2#card=math&code=O%281%2Fn%29)
    • [cs.LG]Support Vector Regression Parameters Optimization using Golden Sine Algorithm and its application in stock market
    • [cs.LG]The Implications of the No-Free-Lunch Theorems for Meta-induction
    • [cs.LG]Train Deep Neural Networks in 40-D Subspaces
    • [cs.LG]UCB-based Algorithms for Multinomial Logistic Regression Bandits
    • [cs.LG]Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions
    • [cs.LG]Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization
    • [cs.LG]Weighted Neural Tangent Kernel: A Generalized and Improved Network-Induced Kernel
    • [cs.LG]Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
    • [cs.LG]ast2vec: Utilizing Recursive Neural Encodings of Python Programs
    • [cs.LG]d3p — A Python Package for Differentially-Private Probabilistic Programming
    • [cs.MA]Multi-Agent Algorithms for Collective Behavior: A structural and application-focused atlas
    • [cs.NE]Evolving Continuous Optimisers from Scratch
    • [cs.NI]UAV Communications for Sustainable Federated Learning
    • [cs.RO]An Efficient Calibration Method for Triaxial Gyroscope
    • [cs.RO]Autonomous Flight in Unknown GNSS-denied Environments for Disaster Examination
    • [cs.RO]Enhancing the Generalization Performance and Speed Up Training for DRL-based Mapless Navigation
    • [cs.RO]Estimating Lower Body Kinematics using a Lie Group Constrained Extended Kalman Filter and Reduced IMU Count
    • [cs.RO]External Forces Resilient Safe Motion Planning for Quadrotor
    • [cs.RO]Force Sensing in Robot-assisted Keyhole Endoscopy: A Systematic Survey
    • [cs.RO]High Precision Control of Tracked Field Robots in the Presence of Unknown Traction Coefficients
    • [cs.RO]High precision control and deep learning-based corn stand counting algorithms for agricultural robot
    • [cs.RO]In Situ Translational Hand-Eye Calibration of Laser Profile Sensors using Arbitrary Objects
    • [cs.RO]Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery
    • [cs.RO]Learn-to-Race: A Multimodal Control Environment for Autonomous Racing
    • [cs.RO]Learning Continuous Cost-to-Go Functions for Non-holonomic Systems
    • [cs.RO]MVGrasp: Real-Time Multi-View 3D Object Grasping in Highly Cluttered Environments
    • [cs.RO]Multi Camera Placement via Z-buffer Rendering for the Optimization of the Coverage and the Visual Hull
    • [cs.RO]Multi-Axis Force Sensing in Robotic Minimally Invasive Surgery With No Instrument Modification
    • [cs.RO]Multi-Robot Dynamical Source Seeking in Unknown Environments
    • [cs.RO]Multi-agent Aerial Monitoring of Moving Convoys using Elliptical Orbits
    • [cs.RO]Multi-directional Bicycle Robot for Steel Structure Inspection
    • [cs.RO]NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
    • [cs.RO]Online search of unknown terrains using a dynamical system-based path planning approach
    • [cs.RO]Potential Gap: Using Reactive Policies to Guarantee Safe Navigation
    • [cs.RO]Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking
    • [cs.RO]RadarLoc: Learning to Relocalize in FMCW Radar
    • [cs.RO]Semantic 3D Map Change Detection and Update based on Smartphone Visual Positioning System
    • [cs.RO]SoPrA: Fabrication & Dynamical Modeling of a Scalable Soft Continuum Robotic Arm with Integrated Proprioceptive Sensing
    • [cs.RO]Stable Haptic Teleoperation of UAVs via Small 今日学术视野(2021.3.24) - 图3 Gain and Control Barrier Functions
    • [cs.RO]The Visual-Inertial-Dynamical UAV Dataset
    • [cs.RO]Toward Consistent Drift-free Visual Inertial Localization on Keyframe Based Map
    • [cs.RO]Tracking error learning control for precise mobile robot path tracking in outdoor environment
    • [cs.RO]Uncertainty-Aware Self-Supervised Learning of Spatial Perception Tasks
    • [cs.RO]Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras
    • [cs.RO]Volumetric Objectives for Multi-Robot Exploration of Three-Dimensional Environments
    • [cs.RO]iRotate: Active Visual SLAM for Omnidirectional Robots
    • [cs.SD]Self-paced ensemble learning for speech and audio classification
    • [cs.SE]Common Sense Knowledge, Ontology and Text Mining for Implicit Requirements
    • [cs.SE]Project-Level Encoding for Neural Source Code Summarization of Subroutines
    • [cs.SE]SELM: Software Engineering of Machine Learning Models
    • [cs.SE]Tubu-io Decentralized Application Development & Test Workbench
    • [cs.SE]Which contributions count? Analysis of attribution in open source
    • [cs.SI]Characterising Communities of Twitter Users Who Posted Vaccines Related Tweets by Information Sources
    • [cs.SI]Higher-order Homophily is Combinatorially Impossible
    • [cs.SI]Link Prediction via controlling the leading eigenvector
    • [cs.SI]Mean Extinction Times of Epidemics with State-Dependent Infectiousness
    • [cs.SI]Schrödinger’s Ballot: Quantum Information and the Violation of Arrow’s Impossibility Theorem
    • [cs.SI]Social media polarization and echo chambers: A case study of COVID-19
    • [cs.SI]Studying Moral-based Differences in the Framing of Political Tweets
    • [cs.SI]Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning
    • [eess.IV]Automatic Pulmonary Artery and Vein Separation Algorithm Based on Multitask Classification Network and Topology Reconstruction in Chest CT Images
    • [eess.IV]Evaluating glioma growth predictions as a forward ranking problem
    • [eess.IV]Generation and Simulation of Yeast Microscopy Imagery with Deep Learning
    • [eess.IV]Glaucoma detection beyond the optic disc: The importance of the peripapillary region using explainable deep learning
    • [eess.IV]Mathematical Theory of Computational Resolution Limit in Multi-dimensions
    • [eess.IV]Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks
    • [eess.IV]Retinal-inspired Filtering for Dynamic Image Coding
    • [eess.IV]Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation
    • [eess.SP]Thomson’s Multitaper Method Revisited
    • [eess.SY]Branching out into Structural Identifiability Analysis with Maple: Interactive Exploration of Uncontrolled Linear Time-Invariant Structures
    • [eess.SY]DeepOPF-V: Solving AC-OPF Problems Efficiently
    • [eess.SY]Integrating Electrochemical Modeling with Machine Learning for Lithium-Ion Batteries
    • [eess.SY]Sliding Mode Learning Control of Uncertain Nonlinear Systems with Lyapunov Stability Analysis
    • [math.NA]Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions
    • [math.NA]The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation
    • [math.OC]ANITA: An Optimal Loopless Accelerated Variance-Reduced Gradient Method
    • [math.PR]Stochastic comparisons, differential entropy and varentropy for distributions induced by probability density functions
    • [math.ST]A unified approach for covariance matrix estimation under Stein loss
    • [math.ST]Approximation to probability density functions in sampling distributions based on Fourier cosine series
    • [math.ST]Asymptotic distribution for the proportional covariance model
    • [math.ST]Consistency of 今日学术视野(2021.3.24) - 图4-norm based tests in high-dimensions: characterization, monotonicity, domination
    • [math.ST]Differentially private inference via noisy optimization
    • [math.ST]Optimal Linear Classification via Eigenvalue Shrinkage: The Case of Additive Noise
    • [math.ST]Posterior distributions for Hierarchical Spike and Slab Indian Buffet processes
    • [math.ST]Simple sufficient condition for inadmissibility of Moran’s single-split test
    • [math.ST]Using scoring functions to evaluate point process forecasts
    • [physics.med-ph]Scatter Correction in X-ray CT by Physics-Inspired Deep Learning
    • [physics.soc-ph]Analysing the restricted assignment problem of the group draw in sports tournaments
    • [physics.soc-ph]Local Betweenness Centrality Analysis of 30 European Cities
    • [physics.soc-ph]The Network Limits of Infectious Disease Control via Occupation-Based Targeting
    • [q-bio.QM]Measuring and modeling the motor system with machine learning
    • [q-bio.QM]Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development
    • [q-fin.CP]A deep learning approach to data-driven model-free pricing and to martingale optimal transport
    • [q-fin.CP]Deep Hedging: Learning Risk-Neutral Implied Volatility Dynamics
    • [quant-ph]Federated Quantum Machine Learning
    • [quant-ph]Quantum Machine Learning with HQC Architectures using non-Classically Simulable Feature Maps
    • [quant-ph]Variational quantum compiling with double Q-learning
    • [stat.AP]Copula Averaging for Tail Dependence in Insurance Claims Data
    • [stat.AP]Mining geometric constraints from crowd-sourced radio signals and its application to indoor positioning
    • [stat.AP]Uncovering Bias in Order Assignment
    • [stat.ME]Block Length Choice for the Bootstrap of Dependent Panel Data — a Comment on Choi and Shin (2020)
    • [stat.ME]Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation
    • [stat.ME]Distance Assisted Recursive Testing
    • [stat.ME]Functional graphical model for spectrometric data analysis
    • [stat.ME]Interpretable, predictive spatio-temporal models via enhanced Pairwise Directions Estimation
    • [stat.ME]Modeling Heterogeneity and Missing Data of Multiple Longitudinal Outcomes in Electronic Health Records
    • [stat.ME]On Efficient Design of Pilot Experiment for Generalized Linear Models
    • [stat.ME]Probabilistic forecast reconciliation under the Gaussian framework
    • [stat.ME]Properties of point forecast reconciliation approaches
    • [stat.ME]Supervised Principal Component Regression for Functional Response with High Dimensional Predictors
    • [stat.ME]Treatment Allocation under Uncertain Costs
    • [stat.ML]Adaptive Degradation Process with Deep Learning-Driven Trajectory
    • [stat.ML]Adaptive deep density approximation for Fokker-Planck equations
    • [stat.ML]Comments on Leo Breiman’s paper ‘Statistical Modeling: The Two Cultures’ (Statistical Science, 2001, 16(3), 199-231)
    • [stat.ML]Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble
    • [stat.ML]Higher-Order Orthogonal Causal Learning for Treatment Effect
    • [stat.ML]Incremental Semi-Supervised Learning Through Optimal Transport
    • [stat.ML]Individually Fair Ranking
    • [stat.ML]Interpreting Deep Learning Models with Marginal Attribution by Conditioning on Quantiles
    • [stat.ML]Markov Modeling of Time-Series Data using Symbolic Analysis
    • [stat.ML]Numerical comparisons between Bayesian and frequentist low-rank matrix completion: estimation accuracy and uncertainty quantification
    • [stat.ML]Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey

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

    • [cond-mat.mtrl-sci]Comprehensive process-molten pool relations modeling using CNN for wire-feed laser additive manufacturing
    Noopur Jamnikar, Sen Liu, Craig Brice, Xiaoli Zhang
    http://arxiv.org/abs/2103.11588v1

    • [cs.AI]Collaborative Agent Gameplay in the Pandemic Board Game
    Konstantinos Sfikas, Antonios Liapis
    http://arxiv.org/abs/2103.11388v1

    • [cs.AI]Dual Monte Carlo Tree Search
    Prashank Kadam, Ruiyang Xu, Karl Lieberherr
    http://arxiv.org/abs/2103.11517v1

    • [cs.AI]Evaluating Perceived Usefulness and Ease of Use of CMMN and DCR
    Amin Jalali
    http://arxiv.org/abs/2103.11218v1

    • [cs.AI]Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals
    Sainyam Galhotra, Romila Pradhan, Babak Salimi
    http://arxiv.org/abs/2103.11972v1

    • [cs.AI]Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning
    Manuel Camargo, Marlon Dumas, Oscar González-Rojas
    http://arxiv.org/abs/2103.11944v1

    • [cs.AI]Mining GIS Data to Predict Urban Sprawl
    Anita Pampoore-Thampi, Aparna S. Varde, Danlin Yu
    http://arxiv.org/abs/2103.11338v1

    • [cs.AI]Monte Carlo Information-Oriented Planning
    Vincent Thomas, Gérémy Hutin, Olivier Buffet
    http://arxiv.org/abs/2103.11345v1

    • [cs.AI]Policy-Guided Heuristic Search with Guarantees
    Laurent Orseau, Levi H. S. Lelis
    http://arxiv.org/abs/2103.11505v1

    • [cs.AI]Raven’s Progressive Matrices Completion with Latent Gaussian Process Priors
    Fan Shi, Bin Li, Xiangyang Xue
    http://arxiv.org/abs/2103.12045v1

    • [cs.AI]Recognizing LTLf/PLTLf Goals in Fully Observable Non-Deterministic Domain Models
    Ramon Fraga Pereira, Francesco Fuggitti, Giuseppe De Giacomo
    http://arxiv.org/abs/2103.11692v1

    • [cs.AI]Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
    Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Wenzhao Lian, Chang Su, Mel Vecerik, Ning Ye, Stefan Schaal, Jon Scholz
    http://arxiv.org/abs/2103.11512v1

    • [cs.AI]SuSketch: Surrogate Models of Gameplay as a Design Assistant
    Panagiotis Migkotzidis, Antonios Liapis
    http://arxiv.org/abs/2103.11726v1

    • [cs.AI]Transforming Exploratory Creativity with DeLeNoX
    Antonios Liapis, Hector P. Martinez, Julian Togelius, Georgios N. Yannakakis
    http://arxiv.org/abs/2103.11715v1

    • [cs.CG]On Subspace Approximation and Subset Selection in Fewer Passes by MCMC Sampling
    Amit Deshpande, Rameshwar Pratap
    http://arxiv.org/abs/2103.11107v1

    • [cs.CL]#LaCulturaNonsiFerma: Report on Use and Diffusion of #Hashtags from the Italian Cultural Institutions during the COVID-19 outbreak
    Carola Carlino, Gennaro Nolano, Maria Pia di Buono, Johanna Monti
    http://arxiv.org/abs/2103.11865v1

    • [cs.CL]A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
    Son T. Luu, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
    http://arxiv.org/abs/2103.11528v1

    • [cs.CL]AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization
    Tiezheng Yu, Zihan Liu, Pascale Fung
    http://arxiv.org/abs/2103.11332v1

    • [cs.CL]Alleviate Exposure Bias in Sequence Prediction \ with Recurrent Neural Networks
    Liping Yuan, Jiangtao Feng, Xiaoqing Zheng, Xuanjing Huang
    http://arxiv.org/abs/2103.11603v1

    • [cs.CL]Attribute Alignment: Controlling Text Generation from Pre-trained Language Models
    Dian Yu, Kenji Sagae, Zhou Yu
    http://arxiv.org/abs/2103.11070v1

    • [cs.CL]BERT: A Review of Applications in Natural Language Processing and Understanding
    M. V. Koroteev
    http://arxiv.org/abs/2103.11943v1

    • [cs.CL]BlonD: An Automatic Evaluation Metric for Document-level MachineTranslation
    Yuchen Jiang, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Ming Zhou
    http://arxiv.org/abs/2103.11878v1

    • [cs.CL]Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management
    Mikael Brunila, Rosie Zhao, Andrei Mircea, Sam Lumley, Renee Sieber
    http://arxiv.org/abs/2103.11835v1

    • [cs.CL]Complementary Evidence Identification in Open-Domain Question Answering
    Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su
    http://arxiv.org/abs/2103.11643v1

    • [cs.CL]Conceptual similarity and communicative need shape colexification: an experimental study
    Andres Karjus, Richard A. Blythe, Simon Kirby, Tianyu Wang, Kenny Smith
    http://arxiv.org/abs/2103.11024v1

    • [cs.CL]Dependency Graph-to-String Statistical Machine Translation
    Liangyou Li, Andy Way, Qun Liu
    http://arxiv.org/abs/2103.11089v1

    • [cs.CL]Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach
    Rui Xie, Wei Ye, Jinan Sun, Shikun Zhang
    http://arxiv.org/abs/2103.11448v1

    • [cs.CL]Extracting the Unknown from Long Math Problems
    Ndapa Nakashole
    http://arxiv.org/abs/2103.12048v1

    • [cs.CL]Identifying Machine-Paraphrased Plagiarism
    Jan Philip Wahle, Terry Ruas, Tomáš Foltýnek, Norman Meuschke, Bela Gipp
    http://arxiv.org/abs/2103.11909v1

    • [cs.CL]Improving and Simplifying Pattern Exploiting Training
    Derek Tam, Rakesh R Menon, Mohit Bansal, Shashank Srivastava, Colin Raffel
    http://arxiv.org/abs/2103.11955v1

    • [cs.CL]L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset
    Atharva Kulkarni, Meet Mandhane, Manali Likhitkar, Gayatri Kshirsagar, Raviraj Joshi
    http://arxiv.org/abs/2103.11408v1

    • [cs.CL]Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources
    Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
    http://arxiv.org/abs/2103.11320v1

    • [cs.CL]Local Interpretations for Explainable Natural Language Processing: A Survey
    Siwen Luo, Hamish Ivison, Caren Han, Josiah Poon
    http://arxiv.org/abs/2103.11072v1

    • [cs.CL]MasakhaNER: Named Entity Recognition for African Languages
    David Ifeoluwa Adelani, Jade Abbott, Graham Neubig, Daniel D’souza, Julia Kreutzer, Constantine Lignos, Chester Palen-Michel, Happy Buzaaba, Shruti Rijhwani, Sebastian Ruder, Stephen Mayhew, Israel Abebe Azime, Shamsuddeen Muhammad, Chris Chinenye Emezue, Joyce Nakatumba-Nabende, Perez Ogayo, Anuoluwapo Aremu, Catherine Gitau, Derguene Mbaye, Jesujoba Alabi, Seid Muhie Yimam, Tajuddeen Gwadabe, Ignatius Ezeani, Rubungo Andre Niyongabo, Jonathan Mukiibi, Verrah Otiende, Iroro Orife, Davis David, Samba Ngom, Tosin Adewumi, Paul Rayson, Mofetoluwa Adeyemi, Gerald Muriuki, Emmanuel Anebi, Chiamaka Chukwuneke, Nkiruka Odu, Eric Peter Wairagala, Samuel Oyerinde, Clemencia Siro, Tobius Saul Bateesa, Temilola Oloyede, Yvonne Wambui, Victor Akinode, Deborah Nabagereka, Maurice Katusiime, Ayodele Awokoya, Mouhamadane MBOUP, Dibora Gebreyohannes, Henok Tilaye, Kelechi Nwaike, Degaga Wolde, Abdoulaye Faye, Blessing Sibanda, Orevaoghene Ahia, Bonaventure F. P. Dossou, Kelechi Ogueji, Thierno Ibrahima DIOP, Abdoulaye Diallo, Adewale Akinfaderin, Tendai Marengereke, Salomey Osei
    http://arxiv.org/abs/2103.11811v1

    • [cs.CL]Monolingual and Parallel Corpora for Kangri Low Resource Language
    Shweta Chauhan, Shefali Saxena, Philemon Daniel
    http://arxiv.org/abs/2103.11596v1

    • [cs.CL]**NameRec: Highly Accurate and Fine-grained Person Name Recognition
    Rui Zhang, Yimeng Dai, Shijie Liu
    http://arxiv.org/abs/2103.11360v1

    • [cs.CL]Non-Autoregressive Translation by Learning Target Categorical Codes
    Yu Bao, Shujian Huang, Tong Xiao, Dongqi Wang, Xinyu Dai, Jiajun Chen
    http://arxiv.org/abs/2103.11405v1

    • [cs.CL]Nutri-bullets: Summarizing Health Studies by Composing Segments
    Darsh J Shah, Lili Yu, Tao Lei, Regina Barzilay
    http://arxiv.org/abs/2103.11921v1

    • [cs.CL]Open Domain Question Answering over Tables via Dense Retrieval
    Jonathan Herzig, Thomas Müller, Syrine Krichene, Julian Martin Eisenschlos
    http://arxiv.org/abs/2103.12011v1

    • [cs.CL]Overprotective Training Environments Fall Short at Testing Time: Let Models Contribute to Their Own Training
    Alberto Testoni, Raffaella Bernardi
    http://arxiv.org/abs/2103.11145v1

    • [cs.CL]Part of speech and gramset tagging algorithms for unknown words based on morphological dictionaries of the Veps and Karelian languages
    Andrew Krizhanovsky, Natalia Krizhanovsky, Irina Novak
    http://arxiv.org/abs/2103.11859v1

    • [cs.CL]Prototypical Representation Learning for Relation Extraction
    Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang
    http://arxiv.org/abs/2103.11647v1

    • [cs.CL]Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
    Isaac Caswell, Julia Kreutzer, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Javier Ortiz Suárez, Iroro Orife, Kelechi Ogueji, Rubungo Andre Niyongabo, Toan Q. Nguyen, Mathias Müller, André Müller, Shamsuddeen Hassan Muhammad, Nanda Muhammad, Ayanda Mnyakeni, Jamshidbek Mirzakhalov, Tapiwanashe Matangira, Colin Leong, Nze Lawson, Sneha Kudugunta, Yacine Jernite, Mathias Jenny, Orhan Firat, Bonaventure F. P. Dossou, Sakhile Dlamini, Nisansa de Silva, Sakine Çabuk Ballı, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur Bapna, Pallavi Baljekar, Israel Abebe Azime, Ayodele Awokoya, Duygu Ataman, Orevaoghene Ahia, Oghenefego Ahia, Sweta Agrawal, Mofetoluwa Adeyemi
    http://arxiv.org/abs/2103.12028v1

    • [cs.CL]ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques
    Yuanxin Liu, Zheng Lin, Fengcheng Yuan
    http://arxiv.org/abs/2103.11367v1

    • [cs.CL]SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus
    Rishabh Gupta, Rajesh N Rao
    http://arxiv.org/abs/2103.11431v1

    • [cs.CL]Self-Supervised Test-Time Learning for Reading Comprehension
    Pratyay Banerjee, Tejas Gokhale, Chitta Baral
    http://arxiv.org/abs/2103.11263v1

    • [cs.CL]SparseGAN: Sparse Generative Adversarial Network for Text Generation
    Liping Yuan, Jiehang Zeng, Xiaoqing Zheng
    http://arxiv.org/abs/2103.11578v1

    • [cs.CL]Structural block driven - enhanced convolutional neural representation for relation extraction
    Dongsheng Wang, Prayag Tiwari, Sahil Garg, Hongyin Zhu, Peter Bruza
    http://arxiv.org/abs/2103.11356v1

    • [cs.CL]SwissDial: Parallel Multidialectal Corpus of Spoken Swiss German
    Pelin Dogan-Schönberger, Julian Mäder, Thomas Hofmann
    http://arxiv.org/abs/2103.11401v1

    • [cs.CL]TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora
    Denis Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser
    http://arxiv.org/abs/2103.11029v1

    • [cs.CL]TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
    Tao Gui, Xiao Wang, Qi Zhang, Qin Liu, Yicheng Zou, Xin Zhou, Rui Zheng, Chong Zhang, Qinzhuo Wu, Jiacheng Ye, Zexiong Pang, Yongxin Zhang, Zhengyan Li, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xinwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Bolin Zhu, Shan Qin, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang
    http://arxiv.org/abs/2103.11441v1

    • [cs.CL]The Effectiveness of Morphology-aware Segmentation in Low-Resource Neural Machine Translation
    Jonne Sälevä, Constantine Lignos
    http://arxiv.org/abs/2103.11189v1

    • [cs.CL]The Interplay of Task Success and Dialogue Quality: An in-depth Evaluation in Task-Oriented Visual Dialogues
    Alberto Testoni, Raffaella Bernardi
    http://arxiv.org/abs/2103.11151v1

    • [cs.CL]Token-wise Curriculum Learning for Neural Machine Translation
    Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Tuo Zhao
    http://arxiv.org/abs/2103.11088v1

    • [cs.CL]Triage and diagnosis of COVID-19 from medical social media
    Abul Hasan, Mark Levene, David Weston, Renate Fromson, Nicolas Koslover, Tamara Levene
    http://arxiv.org/abs/2103.11850v1

    • [cs.CR]A General and Configurable Framework for Blockchain-based Marketplaces
    Andrea Merlina, Roman Vitenberg, Vinay Setty
    http://arxiv.org/abs/2103.11765v1

    • [cs.CR]Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions
    Michael Goebel, Jason Bunk, Srinjoy Chattopadhyay, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
    http://arxiv.org/abs/2103.11002v1

    • [cs.CR]Don’t Tell Me The Cybersecurity Moon Is Shining… (Cybersecurity Show And Tell)
    Luca Viganò
    http://arxiv.org/abs/2103.11030v1

    • [cs.CR]Preliminary Analysis of Potential Harms in the Luca Tracing System
    Theresa Stadler, Wouter Lueks, Katharina Kohls, Carmela Troncoso
    http://arxiv.org/abs/2103.11958v1

    • [cs.CR]Round and Communication Balanced Protocols for Oblivious Evaluation of Finite State Machines
    Rafael Dowsley, Caleb Horst, Anderson C. A. Nascimento
    http://arxiv.org/abs/2103.11240v1

    • [cs.CR]Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation
    Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay
    http://arxiv.org/abs/2103.11519v1

    • [cs.CV]#PraCegoVer: A Large Dataset for Image Captioning in Portuguese
    Gabriel Oliveira dos Santos, Esther Luna Colombini, Sandra Avila
    http://arxiv.org/abs/2103.11474v1

    • [cs.CV]3DMNDT:3D multi-view registration method based on the normal distributions transform
    Jihua Zhu, Di Wang, Jiaxi Mu, Huimin Lu, Zhiqiang Tian, Zhongyu Li
    http://arxiv.org/abs/2103.11084v1

    • [cs.CV]3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model
    Chengxi Li, Brent Harrison
    http://arxiv.org/abs/2103.11186v1

    • [cs.CV]A Batch Normalization Classifier for Domain Adaptation
    Matthew R. Behrend, Sean M. Robinson
    http://arxiv.org/abs/2103.11642v1

    • [cs.CV]A Learned Compact and Editable Light Field Representation
    Menghan Xia, Jose Echevarria, Minshan Xie, Tien-Tsin Wong
    http://arxiv.org/abs/2103.11314v1

    • [cs.CV]A Modular and Unified Framework for Detecting and Localizing Video Anomalies
    Keval Doshi, Yasin Yilmaz
    http://arxiv.org/abs/2103.11299v1

    • [cs.CV]A New Efficient Numbering System : Application to Numbers Generation and Visual Markers Design
    Messaoud Mostefai1, Salah Khodja, Youssef Chahir
    http://arxiv.org/abs/2103.11727v1

    • [cs.CV]A Novel Upsampling and Context Convolution for Image Semantic Segmentation
    Khwaja Monib Sediqi, Hyo Jong Lee
    http://arxiv.org/abs/2103.11110v1

    • [cs.CV]A Survey of Hand Crafted and Deep Learning Methods for Image Aesthetic Assessment
    Saira Kanwal, Muhammad Uzair, Habib Ullah
    http://arxiv.org/abs/2103.11616v1

    • [cs.CV]A first step towards automated species recognition from camera trap images of mammals using AI in a European temperate forest
    Mateusz Choinski, Mateusz Rogowski, Piotr Tynecki, Dries P. J. Kuijper, Marcin Churski, Jakub W. Bubnicki
    http://arxiv.org/abs/2103.11052v1

    • [cs.CV]A novel multimodal fusion network based on a joint coding model for lane line segmentation
    Zhenhong Zou, Xinyu Zhang, Huaping Liu, Zhiwei Li, Amir Hussain, Jun Li
    http://arxiv.org/abs/2103.11114v1

    • [cs.CV]AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis
    Yudong Guo, Keyu Chen, Sen Liang, Yongjin Liu, Hujun Bao, Juyong Zhang
    http://arxiv.org/abs/2103.11078v1

    • [cs.CV]AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision
    Chang Liu, Xiaojuan Qi, Edmund Lam, Ngai Wong
    http://arxiv.org/abs/2103.11645v1

    • [cs.CV]AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition
    Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu
    http://arxiv.org/abs/org/abs/2103.11770v1

    • [cs.CV]Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets
    Yiwei Bao, Yihua Cheng, Yunfei Liu, Feng Lu
    http://arxiv.org/abs/2103.11119v1

    • [cs.CV]Anchor-Free Person Search
    Yichao Yan, Jingpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao
    http://arxiv.org/abs/2103.11617v1

    • [cs.CV]Are High-Frequency Components Beneficial for Training of Generative Adversarial Networks
    Ziqiang Li, Pengfei Xia, Xue Rui, Yanghui Hu, Bin Li
    http://arxiv.org/abs/2103.11093v1

    • [cs.CV]Artificial intelligence for detection and quantification of rust and leaf miner in coffee crop
    Alvaro Leandro Cavalcante Carneiro, Lucas Brito Silva, Marisa Silveira Almeida Renaud Faulin
    http://arxiv.org/abs/2103.11241v1

    • [cs.CV]AutoSpace: Neural Architecture Search with Less Human Interference
    Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng
    http://arxiv.org/abs/2103.11833v1

    • [cs.CV]Automatic Quantification of Facial Asymmetry using Facial Landmarks
    Abu Md Niamul Taufique, Andreas Savakis, Jonathan Leckenby
    http://arxiv.org/abs/2103.11059v1

    • [cs.CV]AxonNet: A self-supervised Deep Neural Network for Intravoxel Structure Estimation from DW-MRI
    Hanna Ehrlich, Mariano Rivera
    http://arxiv.org/abs/2103.11006v1

    • [cs.CV]Bootstrapped Self-Supervised Training with Monocular Video for Semantic Segmentation and Depth Estimation
    Yihao Zhang, John J. Leonard
    http://arxiv.org/abs/2103.11031v1

    • [cs.CV]Brain Image Synthesis with Unsupervised Multivariate Canonical CSC今日学术视野(2021.3.24) - 图5Net
    Yawen Huang, Feng Zheng, Danyang Wang, Weilin Huang, Matthew R. Scott, Ling Shao
    http://arxiv.org/abs/2103.11587v1

    • [cs.CV]Classifier Crafting: Turn Your ConvNet into a Zero-Shot Learner!
    Jacopo Cavazza
    http://arxiv.org/abs/2103.11112v1

    • [cs.CV]Cluster Contrast for Unsupervised Person Re-Identification
    Zuozhuo Dai, Guangyuan Wang, Siyu Zhu, Weihao Yuan, Ping Tan
    http://arxiv.org/abs/2103.11568v1

    • [cs.CV]ConDA: Continual Unsupervised Domain Adaptation
    Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas Savakis
    http://arxiv.org/abs/2103.11056v1

    • [cs.CV]Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation
    Sahib Julka, Vishal Sowrirajan, Joerg Schloetterer, Michael Granitzer
    http://arxiv.org/abs/2103.11471v1

    • [cs.CV]Context-Aware Layout to Image Generation with Enhanced Object Appearance
    Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang
    http://arxiv.org/abs/2103.11897v1

    • [cs.CV]Context-aware Biaffine Localizing Network for Temporal Sentence Grounding
    Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie
    http://arxiv.org/abs/2103.11555v1

    • [cs.CV]Control Distance IoU and Control Distance IoU Loss Function for Better Bounding Box Regression
    Dong Chen, Duoqian Miao
    http://arxiv.org/abs/2103.11696v1

    • [cs.CV]Cross-Dataset Collaborative Learning for Semantic Segmentation
    Li Wang, Dong Li, Yousong Zhu, Lu Tian, Yi Shan
    http://arxiv.org/abs/2103.11351v1

    • [cs.CV]Deconvolution-and-convolution Networks
    Yimin Yang, Wandong Zhang, Jonathan Wu, Will Zhao, Ao Chen
    http://arxiv.org/abs/2103.11887v1

    • [cs.CV]Deep Dense Multi-scale Network for Snow Removal Using Semantic and Geometric Priors
    Kaihao Zhang, Rongqing Li, Yanjiang Yu, Wenhan Luo, Changsheng Li, Hongdong Li
    http://arxiv.org/abs/2103.11298v1

    • [cs.CV]Deep Distribution-preserving Incomplete Clustering with Optimal Transport
    Mingjie Luo, Siwei Wang, Xinwang Liu, Wenxuan Tu, Yi Zhang, Xifeng Guo, Sihang Zhou, En Zhu
    http://arxiv.org/abs/2103.11424v1

    • [cs.CV]Deep Neural Networks Learn Meta-Structures to Segment Fluorescence Microscopy Images
    Yaoru Luo, Guole Liu, Wenjing Li, Yuanhao Guo, Ge Yang
    http://arxiv.org/abs/2103.11594v1

    • [cs.CV]Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion
    Peng Sun, Huanyu Wang, Songyuan Li, Xi Li
    http://arxiv.org/abs/2103.11832v1

    • [cs.CV]DeepViT: Towards Deeper Vision Transformer
    Daquan Zhou, Bingyi Kang, Xiaojie Jin, Linjie Yang, Xiaochen Lian, Qibin Hou, Jiashi Feng
    http://arxiv.org/abs/2103.11886v1

    • [cs.CV]Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse
    Yuxiang Liu, Jidong Ge, Chuanyi Li, Jie Gui
    http://arxiv.org/abs/2103.11590v1

    • [cs.CV]Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales
    Yifan Sun, Yuke Zhu, Yuhan Zhang, Pengkun Zheng, Xi Qiu, Chi Zhang, Yichen Wei
    http://arxiv.org/abs/2103.11781v1

    • [cs.CV]Efficient Global Optimization of Non-differentiable, Symmetric Objectives for Multi Camera Placement
    Maria L. Hänel, Carola-B. Schönlieb
    http://arxiv.org/abs/2103.11210v1

    • [cs.CV]Efficient Spatialtemporal Context Modeling for Action Recognition
    Congqi Cao, Yue Lu, Yifan Zhang, Dongmei Jiang, Yanning Zhang
    http://arxiv.org/abs/2103.11190v1

    • [cs.CV]Efficient Subsampling for Generating High-Quality Images from Conditional Generative Adversarial Networks
    Xin Ding, Yongwei Wang, Z. Jane Wang, William J. Welch
    http://arxiv.org/abs/2103.11166v1

    • [cs.CV]Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification
    Charles A. Kantor, Marta Skreta, Brice Rauby, Léonard Boussioux, Emmanuel Jehanno, Alexandra Luccioni, David Rolnick, Hugues Talbot
    http://arxiv.org/abs/2103.11285v1

    • [cs.CV]Handling Missing Observations with an RNN-based Prediction-Update Cycle
    Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens, Brendan T.
    5000
    Morris
    http://arxiv.org/abs/2103.11747v1

    • [cs.CV]Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification
    Yaohui Li, Huaxiong Li, Haoxing Chen, Chunlin Chen
    http://arxiv.org/abs/2103.11384v1

    • [cs.CV]High Resolution Face Editing with Masked GAN Latent Code Optimization
    Martin Pernuš, Vitomir Štruc, Simon Dobrišek
    http://arxiv.org/abs/2103.11135v1

    • [cs.CV]Human De-occlusion: Invisible Perception and Recovery for Humans
    Qiang Zhou, Shiyin Wang, Yitong Wang, Zilong Huang, Xinggang Wang
    http://arxiv.org/abs/2103.11597v1

    • [cs.CV]ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing
    Di You, Jingfen Xie, Jian Zhang
    http://arxiv.org/abs/2103.11554v1

    • [cs.CV]Incorporating Convolution Designs into Visual Transformers
    Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu
    http://arxiv.org/abs/2103.11816v1

    • [cs.CV]Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
    Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li
    http://arxiv.org/abs/2103.11402v1

    • [cs.CV]Intra-Inter Camera Similarity for Unsupervised Person Re-Identification
    Shiyu Xuan, Shiliang Zhang
    http://arxiv.org/abs/2103.11658v1

    • [cs.CV]LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
    Ashkan Esmaeili, Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah, Ajmal Mian
    http://arxiv.org/abs/2103.10787v2

    • [cs.CV]LaneAF: Robust Multi-Lane Detection with Affinity Fields
    Hala Abualsaud, Sean Liu, David Lu, Kenny Situ, Akshay Rangesh, Mohan M. Trivedi
    http://arxiv.org/abs/2103.12040v1

    • [cs.CV]Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling
    Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu
    http://arxiv.org/abs/2103.11744v1

    • [cs.CV]Learning Calibrated-Guidance for Object Detection in Aerial Images
    Dong Liang, Zongqi Wei, Dong Zhang, Qixiang Geng, Liyan Zhang, Han Sun, Huiyu Zhou, Mingqiang Wei, Pan Gao
    http://arxiv.org/abs/2103.11399v1

    • [cs.CV]Learning Multi-Scene Absolute Pose Regression with Transformers
    Yoli Shavit, Ron Ferens, Yosi Keller
    http://arxiv.org/abs/2103.11468v1

    • [cs.CV]MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation
    Zachary Seymour, Kowshik Thopalli, Niluthpol Mithun, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar
    http://arxiv.org/abs/2103.11374v1

    • [cs.CV]Meta-DETR: Few-Shot Object Detection via Unified Image-Level Meta-Learning
    Gongjie Zhang, Zhipeng Luo, Kaiwen Cui, Shijian Lu
    http://arxiv.org/abs/2103.11731v1

    • [cs.CV]MoViNets: Mobile Video Networks for Efficient Video Recognition
    Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong
    http://arxiv.org/abs/2103.11511v1

    • [cs.CV]MogFace: Rethinking Scale Augmentation on the Face Detector
    Yang Liu, Fei Wang, Jiankang Deng, Baigui Sun, Hao Li
    http://arxiv.org/abs/2103.11139v1

    • [cs.CV]MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans
    Sinisa Stekovic, Mahdi Rad, Friedrich Fraundorfer, Vincent Lepetit
    http://arxiv.org/abs/2103.11161v1

    • [cs.CV]Multi-level Metric Learning for Few-shot Image Recognition
    Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen
    http://arxiv.org/abs/2103.11383v1

    • [cs.CV]Multi-view analysis of unregistered medical images using cross-view transformers
    Gijs van Tulder, Yao Tong, Elena Marchiori
    http://arxiv.org/abs/2103.11390v1

    • [cs.CV]Multimodal Motion Prediction with Stacked Transformers
    Yicheng Liu, Jinghuai Zhang, Liangji Fang, Qinhong Jiang, Bolei Zhou
    http://arxiv.org/abs/2103.11624v1

    • [cs.CV]Natural Perturbed Training for General Robustness of Neural Network Classifiers
    Sadaf Gulshad, Arnold Smeulders
    http://arxiv.org/abs/2103.11372v1

    • [cs.CV]Neural Lumigraph Rendering
    Petr Kellnhofer, Lars Jebe, Andrew Jones, Ryan Spicer, Kari Pulli, Gordon Wetzstein
    http://arxiv.org/abs/2103.11571v1

    • [cs.CV]Optimization for Oriented Object Detection via Representation Invariance Loss
    Qi Ming, Zhiqiang Zhou, Lingjuan Miao, Xue Yang, Yunpeng Dong
    http://arxiv.org/abs/2103.11636v1

    • [cs.CV]PGT: A Progressive Method for Training Models on Long Videos
    Bo Pang, Gao Peng, Yizhuo Li, Cewu Lu
    http://arxiv.org/abs/2103.11313v1

    • [cs.CV]Patch AutoAugment
    Shiqi Lin, Tao Yu, Ruoyu Feng, Zhibo Chen
    http://arxiv.org/abs/2103.11099v1

    • [cs.CV]Paying Attention to Activation Maps in Camera Pose Regression
    Yoli Shavit, Ron Ferens, Yosi Keller
    http://arxiv.org/abs/2103.11477v1

    • [cs.CV]Paying Attention to Multiscale Feature Maps in Multimodal Image Matching
    Aviad Moreshet, Yosi Keller
    http://arxiv.org/abs/2103.11247v1

    • [cs.CV]Polarization Guided Specular Reflection Separation
    Sijia Wen, Yingqiang Zheng, Feng Lu
    http://arxiv.org/abs/2103.11652v1

    • [cs.CV]Prioritized Architecture Sampling with Monto-Carlo Tree Search
    Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
    http://arxiv.org/abs/2103.11922v1

    • [cs.CV]PriorityCut: Occlusion-guided Regularization for Warp-based Image Animation
    Wai Ting Cheung, Gyeongsu Chae
    http://arxiv.org/abs/2103.11600v1

    • [cs.CV]Progressive and Aligned Pose Attention Transfer for Person Image Generation
    Zhen Zhu, Tengteng Huang, Mengde Xu, Baoguang Shi, Wenqing Cheng, Xiang Bai
    http://arxiv.org/abs/2103.11622v1

    • [cs.CV]Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation
    Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen
    http://arxiv.org/abs/2103.11661v1

    • [cs.CV]Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-Identification
    Guoqing Zhang, Yuhao Chen, Yang Dai, Yuhui Zheng, Yi Wu
    http://arxiv.org/abs/2103.11319v1

    • [cs.CV]Responsible AI: Gender bias assessment in emotion recognition
    Artem Domnich, Gholamreza Anbarjafari
    http://arxiv.org/abs/2103.11436v1

    • [cs.CV]Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval
    Gregor Geigle, Jonas Pfeiffer, Nils Reimers, Ivan Vulić, Iryna Gurevych
    http://arxiv.org/abs/2103.11920v1

    • [cs.CV]SSD: A Unified Framework for Self-Supervised Outlier Detection
    Vikash Sehwag, Mung Chiang, Prateek Mittal
    http://arxiv.org/abs/2103.12051v1

    • [cs.CV]ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning
    Ragav Sachdeva, Filipe R Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
    http://arxiv.org/abs/2103.11395v1

    • [cs.CV]Self adversarial attack as an augmentation method for immunohistochemical stainings
    Jelica Vasiljević, Friedrich Feuerhake, Cédric Wemmert, Thomas Lampert
    http://arxiv.org/abs/2103.11362v1

    • [cs.CV]Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry
    Qadeer Khan, Patrick Wenzel, Daniel Cremers
    http://arxiv.org/abs/2103.11204v1

    • [cs.CV]Stereo CenterNet based 3D Object Detection for Autonomous Driving
    Yuguang Shi, Zhenqiang Mi, Yu Guo
    http://arxiv.org/abs/2103.11071v1

    • [cs.CV]TDIOT: Target-driven Inference for Deep Video Object Tracking
    Filiz Gurkan, Llukman Cerkezi, Ozgun Cirakman, Bilge Gunsel
    http://arxiv.org/abs/2103.11017v1

    • [cs.CV]TICaM: A Time-of-flight In-car Cabin Monitoring Dataset
    Jigyasa Singh Katrolia, Bruno Mirbach, Ahmed El-Sherif, Hartmut Feld, Jason Rambach, Didier Stricker
    http://arxiv.org/abs/2103.11719v1

    • [cs.CV]Tangent Space Backpropogation for 3D Transformation Groups
    Zachary Teed, Jia Deng
    http://arxiv.org/abs/2103.12032v1

    • [cs.CV]Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation
    M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen
    http://arxiv.org/abs/2103.11264v1

    • [cs.CV]Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization
    Zhe Chen, Wenhai Wang, Enze Xie, Tong Lu, Ping Luo
    http://arxiv.org/abs/2103.11784v1

    • [cs.CV]Traffic Camera Calibration via Vehicle Vanishing Point Detection
    Viktor Kocur, Milan Ftáčnik
    http://arxiv.org/abs/2103.11438v1

    • [cs.CV]Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking
    Ning Wang, Wengang Zhou, Jie Wang, Houqaing Li
    http://arxiv.org/abs/2103.11681v1

    • [cs.CV]UAV Images Dataset for Moving Object Detection from Moving Cameras
    Ibrahim Delibasoglu
    http://arxiv.org/abs/2103.11460v1

    • [cs.CV]Unsupervised Two-Stage Anomaly Detection
    Yunfei Liu, Chaoqun Zhuang, Feng Lu
    http://arxiv.org/abs/2103.11671v1

    • [cs.CV]Unsupervised and self-adaptative techniques for cross-domain person re-identification
    Gabriel Bertocco, Fernanda Andaló, Anderson Rocha
    http://arxiv.org/abs/2103.11520v1

    • [cs.CV]Video Class Agnostic Segmentation Benchmark for Autonomous Driving
    Mennatullah Siam, Alex Kendall, Martin Jagersand
    http://arxiv.org/abs/2103.11015v1

    • [cs.CV]Visualization of Deep Transfer Learning In SAR Imagery
    Abu Md Niamul Taufique, Navya Nagananda, Andreas Savakis
    http://arxiv.org/abs/2103.11061v1

    • [cs.CV]Well Separated Pair Decomposition and power weighted shortest path metric algorithm fusion
    Gurpreet S. Kalsi, Steven B. Damelin
    http://arxiv.org/abs/2103.11216v1

    • [cs.CV]n-hot: Efficient bit-level sparsity for powers-of-two neural network quantization
    Yuiko Sakuma, Hiroshi Sumihiro, Jun Nishikawa, Toshiki Nakamura, Ryoji Ikegaya
    http://arxiv.org/abs/2103.11704v1

    • [cs.CY]AI Specialization for Pathways of Economic Diversification
    Saurabh Mishra, Robert Koopman, Giuditta De-Prato, Anand Rao, Israel Osorio-Rodarte, Julie Kim, Nikola Spatafora, Keith Strier, Andrea Zaccaria
    http://arxiv.org/abs/2103.11042v1

    • [cs.CY]Fairmandering: A column generation heuristic for fairness-optimized political districting
    Wes Gurnee, David B. Shmoys
    http://arxiv.org/abs/2103.11469v1

    • [cs.CY]Let’s Ask Students About Their Programs, Automatically
    Teemu Lehtinen, André L. Santos, Juha Sorva
    http://arxiv.org/abs/2103.11138v1

    • [cs.DB]BigCarl: Mining frequent subnets from a single large Petri net
    Ruqian Lu, Shuhan Zhang
    http://arxiv.org/abs/2103.11342v1

    • [cs.DC]Differentiated nonblocking: a new progress condition and a matching queue algorithm
    David Y. C. Chan, Shucheng Chi, Vassos Hadzilacos, Sam Toueg
    http://arxiv.org/abs/2103.11926v1

    • [cs.DC]Enabling OpenMP Task Parallelism on Multi-FPGAs
    R. Nepomuceno, R. Sterle, G. Valarini, M. Pereira, H. Yviquel, G. Araujo
    http://arxiv.org/abs/2103.10573v2

    • [cs.DC]Graph Transformation and Specialized Code Generation For Sparse Triangular Solve (SpTRSV)
    Buse Yilmaz
    http://arxiv.org/abs/2103.11445v1

    • [cs.DC]Groovy Parallel Patterns: A Process oriented Parallelization Library
    Jon Kerridge, Neil Urquhart
    http://arxiv.org/abs/2103.12031v1

    • [cs.DC]SP Async:Single Source Shortest Path in Asynchronous Mode on MPI
    Sangeeta Yadav, Asif Khan
    http://arxiv.org/abs/2103.12012v1

    • [cs.DL]Grand challenges and emergent modes of convergence science
    Alexander M. Petersen, Mohammed E. Ahmed, Ioannis Pavlidis
    http://arxiv.org/abs/2103.11547v1

    • [cs.DL]Research networks generated by organizational structures, co-authorships and citations: A Case Study of German Centre for Integrative Biodiversity Research (iDiv)
    Zhao Qu
    http://arxiv.org/abs/2103.11911v1

    • [cs.HC]Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature
    Christopher Starke, Janine Baleis, Birte Keller, Frank Marcinkowski
    http://arxiv.org/abs/2103.12016v1

    • [cs.HC]Insight-centric Visualization Recommendation
    Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao
    http://arxiv.org/abs/2103.11297v1

    • [cs.IR]Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records
    Aynur Guluzade, Endri Kacupaj, Maria Maleshkova
    http://arxiv.org/abs/2103.11951v1

    • [cs.IR]Detecting and Understanding Branching Frequency Changes in Process Models
    Yang Lu, Qifan Chen, Simon Poon
    http://arxiv.org/abs/2103.10742v2

    • [cs.IR]Social Link Inference via Multi-View Matching Network from Spatio-Temporal Trajectories
    Wei Zhang, Xin Lai, Jianyong Wang
    http://arxiv.org/abs/2103.11095v1

    • [cs.IR]Structural Textile Pattern Recognition and Processing Based on Hypergraphs
    Vuong M. Ngo, Sven Helmer, Nhien-An Le-Khac, M-Tahar Kechadi
    http://arxiv.org/abs/2103.11271v1

    • [cs.IT]A Survey on Estimation Schemes in Molecular Communications
    Xinyu Huang, Yuting Fang, Nan Yang
    http://arxiv.org/abs/2103.11564v1

    • [cs.IT]Attending Sudan’s decoding radius with no genus penalty for algebraic geometry codes
    Isabella Panaccione
    http://arxiv.org/abs/2103.11188v1

    • [cs.IT]Beam-Squint Mitigating for Reconfigurable Intelligent Surface Aided Wideband MmWave Communications
    Yun Chen, Da Chen, Tao Jiang
    http://arxiv.org/abs/2103.11105v1

    • [cs.IT]Hierarchical Hybrid Error Correction for Time-Sensitive Devices at the Edge
    Siyi Yang, Ahmed Hareedy, Robert Calderbank, Lara Dolecek
    http://arxiv.org/abs/2103.11046v1

    • [cs.IT]Joint Analog Beam Selection and Digital Beamforming in Millimeter Wave Cell-Free Massive MIMO Systems
    Cenk M. Yetis, Emil Björnson, Pontus Giselsson
    http://arxiv.org/abs/2103.11199v1

    • [cs.IT]Joint Resource Allocation and Cache Placement for Location-Aware Multi-User Mobile Edge Computing
    Jiechen Chen, Hong Xing, Xiaohui Lin, Arumugam Nallanathan, Suzhi Bi
    http://arxiv.org/abs/2103.11220v1

    • [cs.IT]Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access Networks
    Hoon Lee, Junbeom Kim, Seok-Hwan Park
    http://arxiv.org/abs/2103.11284v1

    • [cs.IT]Model-based Learning Network for 3-D Localization in mmWave Communications
    Jie Yang, Shi Jin, Chao-Kai Wen, Jiajia Guo, Michail Matthaiou, Bo Gao
    http://arxiv.org/abs/2103.11122v1

    • [cs.IT]Multi-Transmitter Coded Caching Networks with Transmitter-side Knowledge of File Popularity
    Eleftherios Lampiris, Berksan Serbetci, Thrasyvoulos Spyropoulos, Giuseppe Caire, Petros Elia
    http://arxiv.org/abs/2103.11623v1

    • [cs.IT]Multi-sequence Spreading Random Access (MSRA) for Compressive Sensing-based Grant-free Communication
    Ameha Tsegaye Abebe, Chung G. Kang
    http://arxiv.org/abs/2103.11167v1

    • [cs.IT]New constructions of MDS self-dual and self-orthogonal codes via GRS codes
    Ziteng Huang, Weijun Fang, Fang-Wei Fu
    http://arxiv.org/abs/2103.11665v1

    • [cs.IT]Nonlinear RF Fingerprints Authentication for OFDM Wireless Devices based on Demodulated Symbols
    Yan Yan, Honglin Yuan, Zhihua Bao, Guoan Zhang
    http://arxiv.org/abs/2103.11308v1

    • [cs.IT]On cumulative residual (past) inaccuracy for truncated random variables
    Chanchal Kundu, Antonio Di Crescenzo, Maria Longobardi
    http://arxiv.org/abs/2103.11021v1

    • [cs.IT]QoS-Constrained Federated Learning Empowered by Intelligent Reflecting Surface
    Jingheng Zheng, Wanli Ni, Hui Tian
    http://arxiv.org/abs/2103.11551v1

    • [cs.IT]RIS Configuration, Beamformer Design, and Power Control in Single-Cell and Multi-Cell Wireless Networks
    Stefano Buzzi, Carmen D’Andrea, Alessio Zappone, Maria Fresia, Yong-Ping Zhang, Shulan Feng
    http://arxiv.org/abs/2103.11165v1

    • [cs.IT]Radar Information Theory for Joint Communication and Parameter Estimation with Passive Targets
    Ganesan Thiagarajan, Sanjeev Gurugopinath
    http://arxiv.org/abs/2103.11184v1

    • [cs.IT]Rate-Diverse Gaussian Multiple Access: Efficient Encoder and Decoder Designs
    Pingping Chen, Long Shi, Yi Fang, Francis C. M. Lau, Jun Cheng
    http://arxiv.org/abs/2103.11873v1

    • [cs.IT]Robust Cell-Load Learning with a Small Sample Set
    Daniyal Amir Awan, Renato L. G. Cavalcante, Slawomir Stanczak
    http://arxiv.org/abs/2103.11467v1

    • [cs.IT]Secure list decoding and its application to bit-string commitment
    Masahito Hayashi
    http://arxiv.org/abs/2103.11548v1

    • [cs.IT]Set-Theoretic Learning for Detection in Cell-Less C-RAN Systems
    Daniyal Amir Awan, Renato L. G. Cavalcante, Zoran Utkovski, Slawomir Stanczak
    http://arxiv.org/abs/2103.11456v1

    • [cs.IT]Spark Deficient Gabor Frame Provides a Novel Analysis Operator for Compressed Sensing
    Vasiliki Kouni, Holger Rauhut
    http://arxiv.org/abs/2103.11233v1

    • [cs.IT]Study of Design of Rate-Compatible Polar Codes Based on Non-Uniform Channel Polarization
    R. M. Oliveira, R. C. de Lamare
    http://arxiv.org/abs/2103.11278v1

    • [cs.LG]A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout
    Xianqi Chen, Xiaoyu Zhao, Zhiqiang Gong, Jun Zhang, Weien Zhou, Xiaoqian Chen, Wen Yao
    http://arxiv.org/abs/2103.11177v1

    • [cs.LG]A Federated Learning Framework in Smart Grid: Securing Power Traces in Collaborative Learning
    Haizhou Liu, Xuan Zhang, Hongbin Sun
    http://arxiv.org/abs/2103.11870v1

    • [cs.LG]A Link between Coding Theory and Cross-Validation with Applications
    Tapio Pahikkala, Parisa Movahedi, Ileana Montoya, Havu Miikonen, Ivan Jambor, Antti Airola, Laszlo Major
    http://arxiv.org/abs/2103.11856v1

    • [cs.LG]ActivationNet: Representation learning to predict contact quality of interacting 3-D surfaces in engineering designs
    Rishikesh Ranade, Jay Pathak
    http://arxiv.org/abs/2103.11288v1

    • [cs.LG]Adversarially Optimized Mixup for Robust Classification
    Jason Bunk, Srinjoy Chattopadhyay, B. S. Manjunath, Shivkumar Chandrasekaran
    http://arxiv.org/abs/2103.11589v1

    • [cs.LG]An Empirical Framework for Domain Generalization in Clinical Settings
    Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi
    http://arxiv.org/abs/2103.11163v1

    • [cs.LG]An Experimental Review on Deep Learning Architectures for Time Series Forecasting
    Pedro Lara-Benítez, Manuel Carranza-García, José C. Riquelme
    http://arxiv.org/abs/2103.12057v1

    • [cs.LG]Bayesian Distributional Policy Gradients
    Luchen Li, A. Aldo Faisal
    http://arxiv.org/abs/2103.11265v1

    • [cs.LG]Boundary Attributions Provide Normal (Vector) Attributions
    Zifan Wang, Matt Fredrikson, Anupam Datta
    http://arxiv.org/abs/2103.11257v1

    • [cs.LG]Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
    Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
    http://arxiv.org/abs/2103.12021v1

    • [cs.LG]Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification
    Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu
    http://arxiv.org/abs/2103.11750v1

    • [cs.LG]Compacting Deep Neural Networks for Internet of Things: Methods and Applications
    Ke Zhang, Hanbo Ying, Hong-Ning Dai, Lin Li, Yuangyuang Peng, Keyi Guo, Hongfang Yu
    http://arxiv.org/abs/2103.11083v1

    • [cs.LG]Conditional Frechet Inception Distance
    Michael Soloveitchik, Tzvi Diskin, Efrat Morin, Ami Wiesel
    http://arxiv.org/abs/2103.11521v1

    • [cs.LG]Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions
    Kenji Suzuki, Yoshiyuki Kobayashi, Takuya Narihira
    http://arxiv.org/abs/2103.11807v1

    • [cs.LG]DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation
    Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li
    http://arxiv.org/abs/2103.11109v1

    • [cs.LG]Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction
    Xinxing Wu, Qiang Cheng
    http://arxiv.org/abs/2103.11414v1

    • [cs.LG]Demystifying the Effects of Non-Independence in Federated Learning
    Stefan Arnold, Dilara Yesilbas
    http://arxiv.org/abs/2103.11226v1

    • [cs.LG]Detecting Label Noise via Leave-One-Out Cross Validation
    Yu-Hang Tang, Yuanran Zhu, Wibe A. de Jong
    http://arxiv.org/abs/2103.11352v1

    • [cs.LG]Detecting Racial Bias in Jury Selection
    Jack Dunn, Ying Daisy Zhuo
    http://arxiv.org/abs/2103.11852v1

    • [cs.LG]Detection of fake news on CoViD-19 on Web Search Engines
    V. Mazzeo, A. Rapisarda, G. Giuffrida
    http://arxiv.org/abs/2103.11804v1

    • [cs.LG]Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection
    Varun Buch, Aoxiao Zhong, Xiang Li, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Dufan Wu, Hui Ren, Jiahui Guan, Andrew Liteplo, Sayon Dutta, Ittai Dayan, Quanzheng Li
    http://arxiv.org/abs/2103.11269v1

    • [cs.LG]Enhanced Principal Component Analysis under A Collaborative-Robust Framework
    Rui Zhang, Hongyuan Zhang, Xuelong Li
    http://arxiv.org/abs/2103.11931v1

    • [cs.LG]Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing
    Gonçalo Mordido, Haojin Yang, Christoph Meinel
    http://arxiv.org/abs/2103.11912v1

    • [cs.LG]ExAD: An Ensemble Approach for Explanation-based Adversarial Detection
    Raj Vardhan, Ninghao Liu, Phakpoom Chinprutthiwong, Weijie Fu, Zhenyu Hu, Xia Ben Hu, Guofei Gu
    http://arxiv.org/abs/2103.11526v1

    • [cs.LG]Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems
    Ruihan Wu, Chuan Guo, Awni Hannun, Laurens van der Maaten
    http://arxiv.org/abs/2103.11766v1

    • [cs.LG]Forest Fire Clustering: Cluster-oriented Label Propagation Clustering and Monte Carlo Verification Inspired by Forest Fire Dynamics
    Zhanlin Chen, Philip Tuckman, Jing Zhang, Mark Gerstein
    http://arxiv.org/abs/2103.11802v1

    • [cs.LG]Grey-box Adversarial Attack And Defence For Sentiment Classification
    Ying Xu, Xu Zhong, Antonio Jimeno Yepes, Jey Han Lau
    http://arxiv.org/abs/2103.11576v1

    • [cs.LG]Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units
    Zhixin Pan, Prabhat Mishra
    http://arxiv.org/abs/rg/abs/2103.11927v1

    • [cs.LG]Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units
    Zhixin Pan, Prabhat Mishra
    http://arxiv.org/abs/2103.11927v1

    • [cs.LG]Hidden Technical Debts for Fair Machine Learning in Financial Services
    Chong Huang, Arash Nourian, Kevin Griest
    http://arxiv.org/abs/2103.10510v2

    • [cs.LG]Homophily Outlier Detection in Non-IID Categorical Data
    Guansong Pang, Longbing Cao, Ling Chen
    http://arxiv.org/abs/2103.11516v1

    • [cs.LG]How to Design Sample and Computationally Efficient VQA Models
    Karan Samel, Zelin Zhao, Binghong Chen, Kuan Wang, Robin Luo, Le Song
    http://arxiv.org/abs/2103.11537v1

    • [cs.LG]Hybrid Model for Patent Classification using Augmented SBERT and KNN
    Hamid Bekamiri, Daniel S. Hain, Roman Jurowetzki
    http://arxiv.org/abs/2103.11933v1

    • [cs.LG]Improving Actor-Critic Reinforcement Learning via Hamiltonian Policy
    Duo Xu, Faramarz Fekri
    http://arxiv.org/abs/2103.12020v1

    • [cs.LG]Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
    Cynthia Rudin, Chaofan Chen, Zhi Chen, Haiyang Huang, Lesia Semenova, Chudi Zhong
    http://arxiv.org/abs/2103.11251v1

    • [cs.LG]Intersection Regularization for Extracting Semantic Attributes
    Ameen Ali, Tomer Galanti, Evgeniy Zheltonozhskiy, Chaim Baskin, Lior Wolf
    http://arxiv.org/abs/2103.11888v1

    • [cs.LG]Knowledge Discovery in Surveys using Machine Learning: A Case Study of Women in Entrepreneurship in UAE
    Syed Farhan Ahmad, Amrah Hermayen, Ganga Bhavani
    http://arxiv.org/abs/2103.11430v1

    • [cs.LG]Language-Agnostic Representation Learning of Source Code from Structure and Context
    Daniel Zügner, Tobias Kirschstein, Michele Catasta, Jure Leskovec, Stephan Günnemann
    http://arxiv.org/abs/2103.11318v1

    • [cs.LG]Learning physical properties of anomalous random walks using graph neural networks
    Hippolyte Verdier, Maxime Duval, François Laurent, Alhassan Cassé, Christian Vestergaard, Jean-Baptiste Masson
    http://arxiv.org/abs/2103.11738v1

    • [cs.LG]Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets
    Sifan Wang, Hanwen Wang, Paris Perdikaris
    http://arxiv.org/abs/2103.10974v1

    • [cs.LG]Learning to Simulate on Sparse Trajectory Data
    Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
    http://arxiv.org/abs/2103.11845v1

    • [cs.LG]Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction
    Kareem Ahmed, Eric Wang, Guy Van den Broeck, Kai-Wei Chang
    http://arxiv.org/abs/2103.11062v1

    • [cs.LG]Machine Learning Emulation of 3D Cloud Radiative Effects
    David Meyer, Robin J. Hogan, Peter D. Dueben, Shannon L. Mason
    http://arxiv.org/abs/2103.11919v1

    • [cs.LG]NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments
    Sonali Parbhoo, Stefan Bauer, Patrick Schwab
    http://arxiv.org/abs/2103.11175v1

    • [cs.LG]Neighbor Embedding Variational Autoencoder
    Renfei Tu, Yang Liu, Yongzeng Xue, Cheng Wang, Maozu Guo
    http://arxiv.org/abs/2103.11349v1

    • [cs.LG]On the Robustness of Monte Carlo Dropout Trained with Noisy Labels
    Purvi Goel, Li Chen
    http://arxiv.org/abs/2103.12002v1

    • [cs.LG]Online Convex Optimization with Continuous Switching Constraint
    Guanghui Wang, Yuanyu Wan, Tianbao Yang, Lijun Zhang
    http://arxiv.org/abs/2103.11370v1

    • [cs.LG]Online Strongly Convex Optimization with Unknown Delays
    Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
    http://arxiv.org/abs/2103.11354v1

    • [cs.LG]Predictive Maintenance — Bridging Artificial Intelligence and IoT
    G. G. Samatas, S. S. Moumgiakmas, G. A. Papakostas
    http://arxiv.org/abs/2103.11148v1

    • [cs.LG]ProgressiveSpinalNet architecture for FC layers
    Praveen Chopra
    http://arxiv.org/abs/2103.11373v1

    • [cs.LG]Projection-free Distributed Online Learning with Strongly Convex Losses
    Yuanyu Wan, Guanghui Wang, Lijun Zhang
    http://arxiv.org/abs/2103.11102v1

    • [cs.LG]Provably Correct Optimization and Exploration with Non-linear Policies
    Fei Feng, Wotao Yin, Alekh Agarwal, Lin F. Yang
    http://arxiv.org/abs/2103.11559v1

    • [cs.LG]Real-time End-to-End Federated Learning: An Automotive Case Study
    Hongyi Zhang, Jan Bosch, Helena Holmström Olsson
    http://arxiv.org/abs/2103.11879v1

    • [cs.LG]Recognizing Predictive Substructures with Subgraph Information Bottleneck
    Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
    http://arxiv.org/abs/2103.11155v1

    • [cs.LG]Recovery of Joint Probability Distribution from one-way marginals: Low rank Tensors and Random Projections
    Jian Vora, Karthik S. Gurumoorthy, Ajit Rajwade
    http://arxiv.org/abs/2103.11864v1

    • [cs.LG]S
    7914
    mart Scheduling based on Deep Reinforcement Learning for Cellular Networks
    Jian Wang, Chen Xu, Rong Li, Yiqun Ge, Jun Wang
    http://arxiv.org/abs/2103.11542v1

    • [cs.LG]Self-supervised Representation Learning with Relative Predictive Coding
    Yao-Hung Hubert Tsai, Martin Q. Ma, Muqiao Yang, Han Zhao, Louis-Philippe Morency, Ruslan Salakhutdinov
    http://arxiv.org/abs/2103.11275v1

    • [cs.LG]Server Averaging for Federated Learning
    George Pu, Yanlin Zhou, Dapeng Wu, Xiaolin Li
    http://arxiv.org/abs/2103.11619v1

    • [cs.LG]Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning
    Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
    http://arxiv.org/abs/2103.11883v1

    • [cs.LG]Spatio-Temporal Data Mining for Aviation Delay Prediction
    Kai Zhang, Yushan Jiang, Dahai Liu, Houbing Song
    http://arxiv.org/abs/2103.11221v1

    • [cs.LG]Spatio-Temporal Neural Network for Fitting and Forecasting COVID-19
    Yi-Shuai Niu, Wentao Ding, Junpeng Hu, Wenxu Xu, Stephane Canu
    http://arxiv.org/abs/2103.11860v1

    • [cs.LG]Stability and Deviation Optimal Risk Bounds with Convergence Rate 今日学术视野(2021.3.24) - 图6#card=math&code=O%281%2Fn%29)
    Yegor Klochkov, Nikita Zhivotovskiy
    http://arxiv.org/abs/2103.12024v1

    • [cs.LG]Support Vector Regression Parameters Optimization using Golden Sine Algorithm and its application in stock market
    Mohammadreza Ghanbari, Mahdi Goldani
    http://arxiv.org/abs/2103.11459v1

    • [cs.LG]The Implications of the No-Free-Lunch Theorems for Meta-induction
    David H. Wolpert
    http://arxiv.org/abs/2103.11956v1

    • [cs.LG]Train Deep Neural Networks in 40-D Subspaces
    Tao Li, Lei Tan, Qinghua Tao, Yipeng Liu, Xiaolin Huang
    http://arxiv.org/abs/2103.11154v1

    • [cs.LG]UCB-based Algorithms for Multinomial Logistic Regression Bandits
    Sanae Amani, Christos Thrampoulidis
    http://arxiv.org/abs/2103.11489v1

    • [cs.LG]Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions
    Shuyu Lu, Ruoyu Chen, Wei Wei, Xinghua Lu
    http://arxiv.org/abs/2103.11254v1

    • [cs.LG]Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization
    Carmel Rabinovitz, Niko Grupen, Aviv Tamar
    http://arxiv.org/abs/2103.11144v1

    • [cs.LG]Weighted Neural Tangent Kernel: A Generalized and Improved Network-Induced Kernel
    Lei Tan, Shutong Wu, Xiaolin Huang
    http://arxiv.org/abs/2103.11558v1

    • [cs.LG]Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
    Naveen Venkat, Jogendra Nath Kundu, Durgesh Kumar Singh, Ambareesh Revanur, R. Venkatesh Babu
    http://arxiv.org/abs/2103.11169v1

    • [cs.LG]ast2vec: Utilizing Recursive Neural Encodings of Python Programs
    Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
    http://arxiv.org/abs/2103.11614v1

    • [cs.LG]d3p — A Python Package for Differentially-Private Probabilistic Programming
    Lukas Prediger, Niki Loppi, Samuel Kaski, Antti Honkela
    http://arxiv.org/abs/2103.11648v1

    • [cs.MA]Multi-Agent Algorithms for Collective Behavior: A structural and application-focused atlas
    Federico Rossi, Saptarshi Bandyopadhyay, Michael T. Wolf, Marco Pavone
    http://arxiv.org/abs/2103.11067v1

    • [cs.NE]Evolving Continuous Optimisers from Scratch
    Michael A. Lones
    http://arxiv.org/abs/2103.11746v1

    • [cs.NI]UAV Communications for Sustainable Federated Learning
    Quoc-Viet Pham, Ming Zeng, Rukhsana Ruby, Thien Huynh-The, Won-Joo Hwang
    http://arxiv.org/abs/2103.11073v1

    • [cs.RO]An Efficient Calibration Method for Triaxial Gyroscope
    Li Wang, Steven Su
    http://arxiv.org/abs/2103.11096v1

    • [cs.RO]Autonomous Flight in Unknown GNSS-denied Environments for Disaster Examination
    Daniel Schleich, Marius Beul, Jan Quenzel, Sven Behnke
    http://arxiv.org/abs/2103.11742v1

    • [cs.RO]Enhancing the Generalization Performance and Speed Up Training for DRL-based Mapless Navigation
    Wei Zhang, Yunfeng Zhang, Ning Liu
    http://arxiv.org/abs/2103.11686v1

    • [cs.RO]Estimating Lower Body Kinematics using a Lie Group Constrained Extended Kalman Filter and Reduced IMU Count
    Luke Wicent Sy, Nigel H. Lovell, Stephen J. Redmond
    http://arxiv.org/abs/2103.11393v1

    • [cs.RO]External Forces Resilient Safe Motion Planning for Quadrotor
    Yuwei Wu, Ziming Ding, Chao Xu, Fei Gao
    http://arxiv.org/abs/2103.11178v1

    • [cs.RO]Force Sensing in Robot-assisted Keyhole Endoscopy: A Systematic Survey
    A. H. Hadi Hosseinabadi, S. E. Salcudean
    http://arxiv.org/abs/2103.11123v1

    • [cs.RO]High Precision Control of Tracked Field Robots in the Presence of Unknown Traction Coefficients
    Erkan Kayacan, Sierra N. Young, Joshua M. Peschel, Girish Chowdhary
    http://arxiv.org/abs/2103.11294v1

    • [cs.RO]High precision control and deep learning-based corn stand counting algorithms for agricultural robot
    Zhongzhong Zhang, Erkan Kayacan, Benjamin Thompson, Girish Chowdhary
    http://arxiv.org/abs/2103.11276v1

    • [cs.RO]In Situ Translational Hand-Eye Calibration of Laser Profile Sensors using Arbitrary Objects
    Prajval Kumar Murali, Ines Sorrentino, Angelo Rendiniello, Claudio Fantacci, Enrico Villagrossi, Andrea Polo, Alessandro Ardesi, Marco Maggiali, Lorenzo Natale, Daniele Pucci, Silvio Traversaro
    http://arxiv.org/abs/2103.11981v1

    • [cs.RO]Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery
    Chia-Man Hung, Li Sun, Yizhe Wu, Ioannis Havoutis, Ingmar Posner
    http://arxiv.org/abs/2103.11881v1

    • [cs.RO]Learn-to-Race: A Multimodal Control Environment for Autonomous Racing
    James Herman, Jonathan Francis, Siddha Ganju, Bingqing Chen, Anirudh Koul, Abhinav Gupta, Alexey Skabelkin, Ivan Zhukov, Max Kumskoy, Eric Nyberg
    http://arxiv.org/abs/2103.11575v1

    • [cs.RO]Learning Continuous Cost-to-Go Functions for Non-holonomic Systems
    Jinwook Huh, Daniel D. Lee, Volkan Isler
    http://arxiv.org/abs/2103.11168v1

    • [cs.RO]MVGrasp: Real-Time Multi-View 3D Object Grasping in Highly Cluttered Environments
    Hamidreza Kasaei, Mohammadreza Kasaei
    http://arxiv.org/abs/2103.10997v1

    • [cs.RO]Multi Camera Placement via Z-buffer Rendering for the Optimization of the Coverage and the Visual Hull
    Maria L. Hänel, Johannes Völkel, Dominik Henrich
    http://arxiv.org/abs/2103.11211v1

    • [cs.RO]Multi-Axis Force Sensing in Robotic Minimally Invasive Surgery With No Instrument Modification
    A. H. Hadi-Hosseinabadi, S. E. Salcudean
    http://arxiv.org/abs/2103.11116v1

    • [cs.RO]Multi-Robot Dynamical Source Seeking in Unknown Environments
    Bin Du, Kun Qian, Christian Claudel, Dengfeng Sun
    http://arxiv.org/abs/2103.11016v1

    • [cs.RO]Multi-agent Aerial Monitoring of Moving Convoys using Elliptical Orbits
    Aseem Vivek Borkar, Girish Chowdhary
    http://arxiv.org/abs/2103.11574v1

    • [cs.RO]Multi-directional Bicycle Robot for Steel Structure Inspection
    Son Thanh Nguyen, Hai Nguyen, Son Tien Bui, Van Anh Ho, Hung Manh La
    http://arxiv.org/abs/2103.11522v1

    • [cs.RO]NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
    Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey Edlund, Muhammad Fadhil Ginting, Kamak Ebadi, Matthew Anderson, Torkom Pailevanian, Edward Terry, Michael Wolf, Andrea Tagliabue, Tiago Stegun Vaquero, Matteo Palieri, Scott Tepsuporn, Yun Chang, Arash Kalantari, Fernando Chavez, Brett Lopez, Nobuhiro Funabiki, Gregory Miles, Thomas Touma, Alessandro Buscicchio, Jesus Tordesillas, Nikhilesh Alatur, Jeremy Nash, William Walsh, Sunggoo Jung, Hanseob Lee, Christoforos Kanellakis, John Mayo, Scott Harper, Marcel Kaufmann, Anushri Dixit, Gustavo Correa, Carlyn Lee, Jay Gao, Gene Merewether, Jairo Maldonado-Contreras, Gautam Salhotra, Maira Saboia Da Silva, Benjamin Ramtoula, Seyed Fakoorian, Alexander Hatteland, Taeyeon Kim, Tara Bartlett, Alex Stephens, Leon Kim, Chuck Bergh, Eric Heiden, Thomas Lew, Abhishek Cauligi, Tristan Heywood, Andrew Kramer, Henry A. Leopold, Chris Choi, Shreyansh Daftry, Olivier Toupet, Inhwan Wee, Abhishek Thakur, Micah Feras, Giovanni Beltrame, George Nikolakopoulos, David Shim, Luca Carlone, Joel Burdick
    http://arxiv.org/abs/2103.11470v1

    • [cs.RO]Online search of unknown terrains using a dynamical system-based path planning approach
    Karan Sridharan, Zahra Nili Ahmadabadi, Jeffrey Hudack
    http://arxiv.org/abs/2103.11863v1

    • [cs.RO]Potential Gap: Using Reactive Policies to Guarantee Safe Navigation
    Ruoyang Xu, Shiyu Feng, Patricio A. Vela
    http://arxiv.org/abs/2103.11491v1

    • [cs.RO]Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking
    Jun Yang, Dong Li, Steven L. Waslander
    http://arxiv.org/abs/2103.10968v1

    • [cs.RO]RadarLoc: Learning to Relocalize in FMCW Radar
    Wei Wang, Pedro P. B. de Gusmo, Bo Yang, Andrew Markham, Niki Trigoni
    http://arxiv.org/abs/2103.11562v1

    • [cs.RO]Semantic 3D Map Change Detection and Update based on Smartphone Visual Positioning System
    Max Jwo Lem Lee, Li-Ta Hsu
    http://arxiv.org/abs/2103.11311v1

    • [cs.RO]SoPrA: Fabrication & Dynamical Modeling of a Scalable Soft Continuum Robotic Arm with Integrated Proprioceptive Sensing
    Yasunori Toshimitsu, Ki Wan Wong, Thomas Buchner, Robert Katzschmann
    http://arxiv.org/abs/2103.10726v2

    • [cs.RO]Stable Haptic Teleoperation of UAVs via Small 今日学术视野(2021.3.24) - 图7 Gain and Control Barrier Functions
    Dawei Zhang, Roberto Tron
    http://arxiv.org/abs/2103.11916v1

    • [cs.RO]The Visual-Inertial-Dynamical UAV Dataset
    Kunyi Zhang, Tiankai Yang, Ziming Ding, Chao Xu, Fei Gao
    http://arxiv.org/abs/2103.11152v1

    • [cs.RO]Toward Consistent Drift-free Visual Inertial Localization on Keyframe Based Map
    Zhuqing Zhang, Yanmei Jiao, Shoudong Huang, Yue Wang, Rong Xiong
    http://arxiv.org/abs/2103.11312v1

    • [cs.RO]Tracking error learning control for precise mobile robot path tracking in outdoor environment
    Erkan Kayacan, Girish Chowdhary
    http://arxiv.org/abs/2103.11282v1

    • [cs.RO]Uncertainty-Aware Self-Supervised Learning of Spatial Perception Tasks
    Mirko Nava, Antonio Paolillo, Jérôme Guzzi, Luca Maria Gambardella, Alessandro Giusti
    http://arxiv.org/abs/2103.12007v1

    • [cs.RO]Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras
    S. Tejaswi Digumarti, Joseph Daniel, Ahalya Ravendran, Donald G. Dansereau
    http://arxiv.org/abs/2103.11322v1

    • [cs.RO]Volumetric Objectives for Multi-Robot Exploration of Three-Dimensional Environments
    Micah Corah, Nathan Michael
    http://arxiv.org/abs/2103.11625v1

    • [cs.RO]iRotate: Active Visual SLAM for Omnidirectional Robots
    Elia Bonetto, Pascal Goldschmid, Michael Pabst, Michael J. Black, Aamir Ahmad
    http://arxiv.org/abs/2103.11641v1

    • [cs.SD]Self-paced ensemble learning for speech and audio classification
    Nicolae-Catalin Ristea, Radu Tudor Ionescu
    http://arxiv.org/abs/2103.11988v1

    • [cs.SE]Common Sense Knowledge, Ontology and Text Mining for Implicit Requirements
    Onyeka Emebo, Aparna S. Varde, Olawande Daramola
    http://arxiv.org/abs/2103.11302v1

    • [cs.SE]Project-Level Encoding for Neural Source Code Summarization of Subroutines
    Aakash Bansal, Sakib Haque, Collin McMillan
    http://arxiv.org/abs/2103.11599v1

    • [cs.SE]SELM: Software Engineering of Machine Learning Models
    Nafiseh Jafari, Mohammad Reza Besharati, Mohammad Izadi, Maryam Hourali
    http://arxiv.org/abs/2103.11249v1

    • [cs.SE]Tubu-io Decentralized Application Development & Test Workbench
    Ercan Işık, Melih Birim, Enis Karaarslan
    http://arxiv.org/abs/2103.11187v1

    • [cs.SE]Which contributions count? Analysis of attribution in open source
    Jean-Gabriel Young, Amanda Casari, Katie McLaughlin, Milo Z. Trujillo, Laurent Hébert-Dufresne, James P. Bagrow
    http://arxiv.org/abs/2103.11007v1

    • [cs.SI]Characterising Communities of Twitter Users Who Posted Vaccines Related Tweets by Information Sources
    Md. Rafiul Biswas
    http://arxiv.org/abs/2103.11385v1

    • [cs.SI]Higher-order Homophily is Combinatorially Impossible
    Nate Veldt, Austin R. Benson, Jon Kleinberg
    http://arxiv.org/abs/2103.11818v1

    • [cs.SI]Link Prediction via controlling the leading eigenvector
    Lee Yan-Li, Dong Qiang, Zhou Tao
    http://arxiv.org/abs/2103.11350v1

    • [cs.SI]Mean Extinction Times of Epidemics with State-Dependent Infectiousness
    Akhil Bhimaraju, Avhishek Chatterjee, Lav R. Varshney
    http://arxiv.org/abs/2103.11330v1

    • [cs.SI]Schrödinger’s Ballot: Quantum Information and the Violation of Arrow’s Impossibility Theorem
    Xin Sun, Feifei He, Piotr Kulicki, Mirek Sopek
    http://arxiv.org/abs/2103.11364v1

    • [cs.SI]Social media polarization and echo chambers: A case study of COVID-19
    Julie Jiang, Xiang Ren, Emilio Ferrara
    http://arxiv.org/abs/2103.10979v1

    • [cs.SI]Studying Moral-based Differences in the Framing of Political Tweets
    Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex
    http://arxiv.org/abs/2103.11853v1

    • [cs.SI]Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning
    Zo Ahmed, Bertie Vidgen, Scott A. Hale
    http://arxiv.org/abs/2103.11806v1

    • [eess.IV]Automatic Pulmonary Artery and Vein Separation Algorithm Based on Multitask Classification Network and Topology Reconstruction in Chest CT Images
    Lin Pan, Yaoyong Zheng, Liqin Huang, Liuqing Chen, Zhen Zhang, Rongda Fu, Bin Zheng, Shaohua Zheng
    http://arxiv.org/abs/2103.11736v1

    • [eess.IV]Evaluating glioma growth predictions as a forward ranking problem
    Karin A. van Garderen, Sebastian R. van der Voort, Maarten M. J. Wijnenga, Fatih Incekara, Georgios Kapsas, Renske Gahrmann, Ahmad Alafandi, Marion Smits, Stefan Klein
    http://arxiv.org/abs/2103.11651v1

    • [eess.IV]Generation and Simulation of Yeast Microscopy Imagery with Deep Learning
    Christoph Reich
    http://arxiv.org/abs/2103.11834v1

    • [eess.IV]Glaucoma detection beyond the optic disc: The importance of the peripapillary region using explainable deep learning
    Ruben Hemelings, Bart Elen, João Barbosa Breda, Matthew B. Blaschko, Patrick De Boever, Ingeborg Stalmans
    http://arxiv.org/abs/2103.11895v1

    • [eess.IV]Mathematical Theory of Computational Resolution Limit in Multi-dimensions
    Ping Liu, Hai Zhang
    http://arxiv.org/abs/2103.11632v1

    • [eess.IV]Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks
    Lukas Fisch, Jan Ernsting, Nils R. Winter, Vincent Holstein, Ramona Leenings, Marie Beisemann, Kelvin Sarink, Daniel Emden, Nils Opel, Ronny Redlich, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, Niklas Wulms, Heike Minnerup, Jochen G. Hirsch, Thoralf Niendorf, Beate Endemann, Fabian Bamberg, Thomas Kröncke, Annette Peters, Robin Bülow, Henry Völzke, Oyunbileg von Stackelberg, Ramona Felizitas Sowade, Lale Umutlu, Börge Schmidt, Svenja Caspers, German National Cohort Study Center Consortium, Harald Kugel, Bernhard T. Baune, Tilo Kircher, Benjamin Risse, Udo Dannlowski, Klaus Berger, Tim Hahn
    http://arxiv.org/abs/2103.11695v1

    • [eess.IV]Retinal-inspired Filtering for Dynamic Image Coding
    Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin
    http://arxiv.org/abs/2103.11716v1

    • [eess.IV]Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation
    João B. S. Carvalho, João A. Santinha, Đorđe Miladinović, Joachim M. Buhmann
    http://arxiv.org/abs/2103.11713v1

    • [eess.SP]Thomson’s Multitaper Method Revisited
    Santhosh Karnik, Justin Romberg, Mark A. Davenport
    http://arxiv.org/abs/2103.11586v1

    • [eess.SY]Branching out into Structural Identifiability Analysis with Maple: Interactive Exploration of Uncontrolled Linear Time-Invariant Structures
    Jason M. Whyte
    http://arxiv.org/abs/2103.11309v1

    • [eess.SY]DeepOPF-V: Solving AC-OPF Problems Efficiently
    Wanjun Huang, Xiang Pan, Minghua Chen, Steven H. Low
    http://arxiv.org/abs/2103.11793v1

    • [eess.SY]Integrating Electrochemical Modeling with Machine Learning for Lithium-Ion Batteries
    Hao Tu, Scott Moura, Huazhen Fang
    http://arxiv.org/abs/2103.11580v1

    • [eess.SY]Sliding Mode Learning Control of Uncertain Nonlinear Systems with Lyapunov Stability Analysis
    Erkan Kayacan
    http://arxiv.org/abs/2103.11274v1

    • [math.NA]Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions
    HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
    http://arxiv.org/abs/2103.11037v1

    • [math.NA]The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation
    Qiang Du, Yiqi Gu, Haizhao Yang, Chao Zhou
    http://arxiv.org/abs/2103.11488v1

    • [math.OC]ANITA: An Optimal Loopless Accelerated Variance-Reduced Gradient Method
    Zhize Li
    http://arxiv.org/abs/2103.11333v1

    • [math.PR]Stochastic comparisons, differential entropy and varentropy for distributions induced by probability density functions
    Antonio Di Crescenzo, Luca Paolillo, Alfonso Suarez-Llorens
    http://arxiv.org/abs/2103.11038v1

    • [math.ST]A unified approach for covariance matrix estimation under Stein loss
    Anis M. Haddouche, Wei Lu
    http://arxiv.org/abs/2103.11147v1

    • [math.ST]Approximation to probability density functions in sampling distributions based on Fourier cosine series
    Shigekazu Nakagawa, Hiroki Hashiguchi, Yoko Ono
    http://arxiv.org/abs/2103.11712v1

    • [math.ST]Asymptotic distribution for the proportional covariance model
    Myung Geun Kim
    http://arxiv.org/abs/2103.11280v1

    • [math.ST]Consistency of 今日学术视野(2021.3.24) - 图8-norm based tests in high-dimensions: characterization, monotonicity, domination
    Anders Bredahl Kock, David Preinerstorfer
    http://arxiv.org/abs/2103.11201v1

    • [math.ST]Differentially private inference via noisy optimization
    Marco Avella-Medina, Casey Bradshaw, Po-Ling Loh
    http://arxiv.org/abs/2103.11003v1

    • [math.ST]Optimal Linear Classification via Eigenvalue Shrinkage: The Case of Additive Noise
    Benjamin Robinson, Robert Malinas
    http://arxiv.org/abs/2103.11830v1

    • [math.ST]Posterior distributions for Hierarchical Spike and Slab Indian Buffet processes
    Lancelot F. James, Juho Lee, Abhinav Pandey
    http://arxiv.org/abs/2103.11407v1

    • [math.ST]Simple sufficient condition for inadmissibility of Moran’s single-split test
    Royi Jacobovic
    http://arxiv.org/abs/2103.11205v1

    • [math.ST]Using scoring functions to evaluate point process forecasts
    Jonas Brehmer, Tilmann Gneiting, Martin Schlather, Kirstin Strokorb
    http://arxiv.org/abs/2103.11884v1

    • [physics.med-ph]Scatter Correction in X-ray CT by Physics-Inspired Deep Learning
    Berk Iskender, Yoram Bresler
    http://arxiv.org/abs/2103.11509v1

    • [physics.soc-ph]Analysing the restricted assignment problem of the group draw in sports tournaments
    László Csató
    http://arxiv.org/abs/2103.11353v1

    • [physics.soc-ph]Local Betweenness Centrality Analysis of 30 European Cities
    Kaoru Yamaoka, Yusuke Kumakoshi, Yuji Yoshimura
    http://arxiv.org/abs/2103.11437v1

    • [physics.soc-ph]The Network Limits of Infectious Disease Control via Occupation-Based Targeting
    Demetris Avraam, Nick Obradovich, Niccoló Pescetelli, Manuel Cebrian, Alex Rutherford
    http://arxiv.org/abs/2103.11225v1

    • [q-bio.QM]Measuring and modeling the motor system with machine learning
    Sébastien B. Hausmann, Alessandro Marin Vargas, Alexander Mathis, Mackenzie W. Mathis
    http://arxiv.org/abs/2103.11775v1

    • [q-bio.QM]Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development
    Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker
    http://arxiv.org/abs/2103.11214v1

    • [q-fin.CP]A deep learning approach to data-driven model-free pricing and to martingale optimal transport
    Ariel Neufeld, Julian Sester
    http://arxiv.org/abs/2103.11435v1

    • [q-fin.CP]Deep Hedging: Learning Risk-Neutral Implied Volatility Dynamics
    Hans Buehler, Phillip Murray, Mikko S. Pakkanen, Ben Wood
    http://arxiv.org/abs/2103.11948v1

    • [quant-ph]Federated Quantum Machine Learning
    Samuel Yen-Chi Chen, Shinjae Yoo
    http://arxiv.org/abs/2103.12010v1

    • [quant-ph]Quantum Machine Learning with HQC Architectures using non-Classically Simulable Feature Maps
    Syed Farhan Ahmad, Raghav Rawat, Minal Moharir
    http://arxiv.org/abs/2103.11381v1

    • [quant-ph]Variational quantum compiling with double Q-learning
    Zhimin He, Lvzhou Li, Shenggen Zheng, Yongyao Li, Haozhen Situ
    http://arxiv.org/abs/2103.11611v1

    • [stat.AP]Copula Averaging for Tail Dependence in Insurance Claims Data
    Sen Hu, Adrian O’Hagan
    http://arxiv.org/abs/2103.10912v1

    • [stat.AP]Mining geometric constraints from crowd-sourced radio signals and its application to indoor positioning
    Caifa Zhou, Zhi Li, Dandan Zeng, Yongliang Wang
    http://arxiv.org/abs/2103.11125v1

    • [stat.AP]Uncovering Bias in Order Assignment
    Darren Grant
    http://arxiv.org/abs/2103.11952v1

    • [stat.ME]Block Length Choice for the Bootstrap of Dependent Panel Data — a Comment on Choi and Shin (2020)
    Lea Wegner, Martin Wendler
    http://arxiv.org/abs/2103.11805v1

    • [stat.ME]Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation
    André M. Carrington, Douglas G. Manuel, Paul W. Fieguth, Tim Ramsay, Venet Osmani, Bernhard Wernly, Carol Bennett, Steven Hawken, Matthew McInnes, Olivia Magwood, Yusuf Sheikh, Andreas Holzinger
    http://arxiv.org/abs/2103.11357v1

    • [stat.ME]Distance Assisted Recursive Testing
    Xuechan Li, Anthony Sung, Jichun Xie
    http://arxiv.org/abs/2103.11085v1

    • [stat.ME]Functional graphical model for spectrometric data analysis
    Laura Codazzi, Alessandro Colombi, Matteo Gianella, Raffaele Argiento, Lucia Paci, Alessia Pini
    http://arxiv.org/abs/2103.11666v1

    • [stat.ME]Interpretable, predictive spatio-temporal models via enhanced Pairwise Directions Estimation
    Heng-Hui Lue, ShengLi Tzeng
    http://arxiv.org/abs/2103.11539v1

    • [stat.ME]Modeling Heterogeneity and Missing Data of Multiple Longitudinal Outcomes in Electronic Health Records
    Rebecca Anthopolos, Ying Wei, Qixuan Chen
    http://arxiv.org/abs/2103.11170v1

    • [stat.ME]On Efficient Design of Pilot Experiment for Generalized Linear Models
    Yiou Li, Xinwei Deng
    http://arxiv.org/abs/2103.11493v1

    • [stat.ME]Probabilistic forecast reconciliation under the Gaussian framework
    Shanika L Wickramasuriya
    http://arxiv.org/abs/2103.11128v1

    • [stat.ME]Properties of point forecast reconciliation approaches
    Shanika L Wickramasuriya
    http://arxiv.org/abs/2103.11129v1

    • [stat.ME]Supervised Principal Component Regression for Functional Response with High Dimensional Predictors
    Xinyi Zhang, Qiang Sun, Dehan Kong
    http://arxiv.org/abs/2103.11567v1

    • [stat.ME]Treatment Allocation under Uncertain Costs
    Hao Sun, Shuyang Du, Stefan Wager
    http://arxiv.org/abs/2103.11066v1

    • [stat.ML]Adaptive Degradation Process with Deep Learning-Driven Trajectory
    Li Yang
    http://arxiv.org/abs/2103.11598v1

    • [stat.ML]Adaptive deep density approximation for Fokker-Planck equations
    Kejun Tang, Xiaoliang Wan, Qifeng Liao
    http://arxiv.org/abs/2103.11181v1

    • [stat.ML]Comments on Leo Breiman’s paper ‘Statistical Modeling: The Two Cultures’ (Statistical Science, 2001, 16(3), 199-231)
    Jelena Bradic, Yinchu Zhu
    http://arxiv.org/abs/2103.11327v1

    • [stat.ML]Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble
    Michela C. Massi, Francesca Ieva, Francesca Gasperoni, Anna Maria Paganoni
    http://arxiv.org/abs/2103.11678v1

    • [stat.ML]Higher-Order Orthogonal Causal Learning for Treatment Effect
    Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu
    http://arxiv.org/abs/2103.11869v1

    • [stat.ML]Incremental Semi-Supervised Learning Through Optimal Transport
    Mourad El Hamri, Younès Bennani
    http://arxiv.org/abs/2103.11937v1

    • [stat.ML]Individually Fair Ranking
    Amanda Bower, Hamid Eftekhari, Mikhail Yurochkin, Yuekai Sun
    http://arxiv.org/abs/2103.11023v1

    • [stat.ML]Interpreting Deep Learning Models with Marginal Attribution by Conditioning on Quantiles
    M. Merz, R. Richman, T. Tsanakas, M. V. Wüthrich
    http://arxiv.org/abs/2103.11706v1

    • [stat.ML]Markov Modeling of Time-Series Data using Symbolic Analysis
    Devesh K. Jha
    http://arxiv.org/abs/2103.11238v1

    • [stat.ML]Numerical comparisons between Bayesian and frequentist low-rank matrix completion: estimation accuracy and uncertainty quantification
    The Tien Mai
    http://arxiv.org/abs/2103.11749v1

    • [stat.ML]Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey
    Yiqun Xie, Shashi Shekhar, Yan Li
    http://arxiv.org/abs/2103.12019v1