astro-ph.HE - 高能天体物理现象
    cond-mat.stat-mech - 统计数学
    cs.AI - 人工智能
    cs.CC - 计算复杂度
    cs.CE - 计算工程、 金融和科学
    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.DS - 数据结构与算法
    cs.GT - 计算机科学与博弈论
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.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.SI - 社交网络与信息网络
    econ.EM - 计量经济学
    econ.GN - 一般经济学
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.AT - 代数拓扑
    math.NA - 数值分析
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    q-bio.BM - 生物分子
    q-bio.GN - 基因组学
    q-bio.QM - 定量方法
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.HE]Combining Maximum-Likelihood with Deep Learning for Event Reconstruction in IceCube
    • [cond-mat.stat-mech]Nonreversible Markov chain Monte Carlo algorithm for efficient generation of Self-Avoiding Walks
    • [cs.AI]3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework
    • [cs.AI]Benign Adversarial Attack: Tricking Algorithm for Goodness
    • [cs.AI]HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis
    • [cs.AI]Measuring Ethics in AI with AI: A Methodology and Dataset Construction
    • [cs.AI]New Algebraic Normative Theories for Ethical and Legal Reasoning in the LogiKEy Framework
    • [cs.AI]On Blame Attribution for Accountable Multi-Agent Sequential Decision Making
    • [cs.AI]Playtesting: What is Beyond Personas
    • [cs.AI]Predicting Game Engagement and Difficulty Using AI Players
    • [cs.AI]Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption
    • [cs.AI]Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
    • [cs.CC]Logspace Reducibility From Secret Leakage Planted Clique
    • [cs.CE]Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques
    • [cs.CL]A Joint and Domain-Adaptive Approach to Spoken Language Understanding
    • [cs.CL]An Argumentative Dialogue System for COVID-19 Vaccine Information
    • [cs.CL]Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases
    • [cs.CL]Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition
    • [cs.CL]DYPLODOC: Dynamic Plots for Document Classification
    • [cs.CL]Differentiable Allophone Graphs for Language-Universal Speech Recognition
    • [cs.CL]Exploiting Language Model for Efficient Linguistic Steganalysis: An Empirical Study
    • [cs.CL]Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives
    • [cs.CL]Fine-Grained Emotion Prediction by Modeling Emotion Definitions
    • [cs.CL]Graph-free Multi-hop Reading Comprehension: A Select-to-Guide Strategy
    • [cs.CL]How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction
    • [cs.CL]Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference
    • [cs.CL]Learn to Focus: Hierarchical Dynamic Copy Network for Dialogue State Tracking
    • [cs.CL]Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction
    • [cs.CL]MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation
    • [cs.CL]Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification
    • [cs.CL]MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox
    • [cs.CL]Multilingual Coreference Resolution with Harmonized Annotations
    • [cs.CL]Negation Handling in Machine Learning-Based Sentiment Classification for Colloquial Arabic
    • [cs.CL]One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
    • [cs.CL]Preliminary Steps Towards Federated Sentiment Classification
    • [cs.CL]Revisiting Negation in Neural Machine Translation
    • [cs.CL]Similarity Based Label Smoothing For Dialogue Generation
    • [cs.CL]Stress Test Evaluation of Biomedical Word Embeddings
    • [cs.CL]The USYD-JD Speech Translation System for IWSLT 2021
    • [cs.CL]Towards Controlled and Diverse Generation of Article Comments
    • [cs.CL]Transferable Dialogue Systems and User Simulators
    • [cs.CR]HW2VEC: A Graph Learning Tool for Automating Hardware Security
    • [cs.CR]Multi-Perspective Content Delivery Networks Security Framework Using Optimized Unsupervised Anomaly Detection
    • [cs.CV]A Multiple-Instance Learning Approach for the Assessment of Gallbladder Vascularity from Laparoscopic Images
    • [cs.CV]AA3DNet: Attention Augmented Real Time 3D Object Detection
    • [cs.CV]ASOD60K: Audio-Induced Salient Object Detection in Panoramic Videos
    • [cs.CV]Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference
    • [cs.CV]Adaptive Recursive Circle Framework for Fine-grained Action Recognition
    • [cs.CV]Alleviate Representation Overlapping in Class Incremental Learning by Contrastive Class Concentration
    • [cs.CV]An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Models
    • [cs.CV]An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products
    • [cs.CV]Augmentation Pathways Network for Visual Recognition
    • [cs.CV]Bangla sign language recognition using concatenated BdSL network
    • [cs.CV]Boosting Entity-aware Image Captioning with Multi-modal Knowledge Graph
    • [cs.CV]Boosting Video Captioning with Dynamic Loss Network
    • [cs.CV]CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images
    • [cs.CV]Can Action be Imitated? Learn to Reconstruct and Transfer Human Dynamics from Videos
    • [cs.CV]Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
    • [cs.CV]Character Spotting Using Machine Learning Techniques
    • [cs.CV]Clustering by Maximizing Mutual Information Across Views
    • [cs.CV]Comprehensive Studies for Arbitrary-shape Scene Text Detection
    • [cs.CV]Contextual Transformer Networks for Visual Recognition
    • [cs.CV]Continental-Scale Building Detection from High Resolution Satellite Imagery
    • [cs.CV]Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions
    • [cs.CV]Cycled Compositional Learning between Images and Text
    • [cs.CV]Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?
    • [cs.CV]Deep Machine Learning Based Egyptian Vehicle License Plate Recognition Systems
    • [cs.CV]Denoising and Segmentation of Epigraphical Scripts
    • [cs.CV]Distributional Shifts in Automated Diabetic Retinopathy Screening
    • [cs.CV]Efficient Large Scale Inlier Voting for Geometric Vision Problems
    • [cs.CV]Efficient Video Object Segmentation with Compressed Video
    • [cs.CV]Facetron: Multi-speaker Face-to-Speech Model based on Cross-modal Latent Representations
    • [cs.CV]Going Deeper into Semi-supervised Person Re-identification
    • [cs.CV]HANet: Hierarchical Alignment Networks for Video-Text Retrieval
    • [cs.CV]HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration
    • [cs.CV]Hand Image Understanding via Deep Multi-Task Learning
    • [cs.CV]ICDAR 2021 Competition on Scene Video Text Spotting
    • [cs.CV]Image-Based Parking Space Occupancy Classification: Dataset and Baseline
    • [cs.CV]Improve Unsupervised Pretraining for Few-label Transfer
    • [cs.CV]Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition
    • [cs.CV]LAConv: Local Adaptive Convolution for Image Fusion
    • [cs.CV]Language Models as Zero-shot Visual Semantic Learners
    • [cs.CV]Learning to Adversarially Blur Visual Object Tracking
    • [cs.CV]Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation
    • [cs.CV]Log-Polar Space Convolution for Convolutional Neural Networks
    • [cs.CV]Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data
    • [cs.CV]Multi-Label Image Classification with Contrastive Learning
    • [cs.CV]NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting
    • [cs.CV]On-Device Content Moderation
    • [cs.CV]Parametric Contrastive Learning
    • [cs.CV]Perceptually Validated Precise Local Editing for Facial Action Units with StyleGAN
    • [cs.CV]PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition
    • [cs.CV]Rank & Sort Loss for Object Detection and Instance Segmentation
    • [cs.CV]ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation
    • [cs.CV]Self-Conditioned Probabilistic Learning of Video Rescaling
    • [cs.CV]Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images
    • [cs.CV]Semantic-guided Pixel Sampling for Cloth-Changing Person Re-identification
    • [cs.CV]Spatial-Temporal Transformer for Dynamic Scene Graph Generation
    • [cs.CV]Spatio-Temporal Representation Factorization for Video-based Person Re-Identification
    • [cs.CV]Synthetic Periocular Iris PAI from a Small Set of Near-Infrared-Images
    • [cs.CV]Temporal Alignment Prediction for Few-Shot Video Classification
    • [cs.CV]Temporal-wise Attention Spiking Neural Networks for Event Streams Classification
    • [cs.CV]Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation
    • [cs.CV]TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos
    • [cs.CV]Towards Unbiased Visual Emotion Recognition via Causal Intervention
    • [cs.CV]Towards the Unseen: Iterative Text Recognition by Distilling from Errors
    • [cs.CV]Transcript to Video: Efficient Clip Sequencing from Texts
    • [cs.CV]Transductive Maximum Margin Classifier for Few-Shot Learning
    • [cs.CV]Two Headed Dragons: Multimodal Fusion and Cross Modal Transactions
    • [cs.CV]Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts
    • [cs.CV]What Remains of Visual Semantic Embeddings
    • [cs.CV]Will Multi-modal Data Improves Few-shot Learning?
    • [cs.CV]X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering
    • [cs.CY]’No, auntie, that’s false’: Female baby boomers develop critical skills to confront fake news with guidance from relatives
    • [cs.CY]Assertion-based Approaches to Auditing Complex Elections, with application to party-list proportional elections
    • [cs.CY]Collaborative Problem Solving on a Data Platform Kaggle
    • [cs.CY]Living in a pandemic: adaptation of individual mobility and social activity in the US
    • [cs.CY]The False COVID-19 Narratives That Keep Being Debunked: A Spatiotemporal Analysis
    • [cs.DB]Blockchain Transaction Processing
    • [cs.DC]A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization — Extended Technical Report
    • [cs.DC]A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing
    • [cs.DC]Cost-effective Land Cover Classification for Remote Sensing Images
    • [cs.DC]MARS: Middleware for Adaptive Reflective Computer Systems
    • [cs.DC]Octo-Tiger’s New Hydro Module and Performance Using HPX+CUDA on ORNL’s Summit
    • [cs.DC]Overview of Bachelors Theses 2021
    • [cs.DC]Performance assessment of CUDA and OpenACC in large scale combustion simulations
    • [cs.DC]Performance vs Programming Effort between Rust and C on Multicore Architectures: Case Study in N-Body
    • [cs.DC]Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs
    • [cs.DC]SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis
    • [cs.DC]TriPoll: Computing Surveys of Triangles in Massive-Scale Temporal Graphs with Metadata
    • [cs.DL]Caveats for the use of Web of Science Core Collection in old literature retrieval and historical bibliometric analysis
    • [cs.DL]Journal subject classification: intra- and inter-system discrepancies in Web Of Science and Scopus
    • [cs.DS]Efficient inference of interventional distributions
    • [cs.DS]Power of human-algorithm collaboration in solving combinatorial optimization problems
    • [cs.GT]Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach
    • [cs.HC]Multimodal Fusion Using Deep Learning Applied to Driver’s Referencing of Outside-Vehicle Objects
    • [cs.IR]Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19
    • [cs.IR]Content-based Music Recommendation: Evolution, State of the Art, and Challenges
    • [cs.IR]ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding
    • [cs.IR]Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction
    • [cs.IR]Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction
    • [cs.IT]6ff
    Binary sequences with low correlation via cyclotomic function fields
    • [cs.IT]Channel Estimation for IRS-Assisted Millimeter-Wave MIMO Systems: Sparsity-Inspired Approaches
    • [cs.IT]Correlation, Linear Complexity, Maximum order Complexity on Families of binary Sequences
    • [cs.IT]Double-RIS Communication with DF Relaying for Coverage Extension: Is One Relay Enough?
    • [cs.IT]Effective Capacity Analysis of HARQ-enabled D2D Communication in Multi-Tier Cellular Networks
    • [cs.IT]Error Floor Analysis of LDPC Column Layered Decoders
    • [cs.IT]Low-bandwidth recovery of linear functions of Reed-Solomon-encoded data
    • [cs.IT]Multi-Rate Nyquist-SCM for C-Band 100Gbit/s Signal over 50km Dispersion-Uncompensated Link
    • [cs.IT]New constructions of 今日学术视野(2021.7.28) - 图1-Ary 2-D Z-Complementary Array Pairs
    • [cs.IT]On the Scheduling and Power Control for Uplink Cellular-Connected UAV Communications
    • [cs.IT]Position-agnostic Algebraic Estimation of 6G V2X MIMO Channels via Unsupervised Learning
    • [cs.IT]Reconfigurable Intelligent Surface Phase Hopping for Ultra-Reliable Communications
    • [cs.IT]Revisiting Analog Over-the-Air Machine Learning: The Blessing and Curse of Interference
    • [cs.IT]Uplink Data Detection Analysis of 1-Bit Quantized Massive MIMO
    • [cs.LG]今日学术视野(2021.7.28) - 图2DARTS: Model Uncertainty-Aware Differentiable Architecture Search
    • [cs.LG]A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification
    • [cs.LG]A brief note on understanding neural networks as Gaussian processes
    • [cs.LG]A general sample complexity analysis of vanilla policy gradient
    • [cs.LG]AAVAE: Augmentation-Augmented Variational Autoencoders
    • [cs.LG]Adversarial training may be a double-edged sword
    • [cs.LG]Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes
    • [cs.LG]Are Bayesian neural networks intrinsically good at out-of-distribution detection?
    • [cs.LG]Compensation Learning
    • [cs.LG]Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
    • [cs.LG]Decentralized Federated Learning: Balancing Communication and Computing Costs
    • [cs.LG]Decision-forest voting scheme for classification of rare classes in network intrusion detection
    • [cs.LG]Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
    • [cs.LG]Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning
    • [cs.LG]Dissecting FLOPs along input dimensions for GreenAI cost estimations
    • [cs.LG]Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover’s Distance
    • [cs.LG]FedLab: A Flexible Federated Learning Framework
    • [cs.LG]Federated Causal Inference in Heterogeneous Observational Data
    • [cs.LG]Free Hyperbolic Neural Networks with Limited Radii
    • [cs.LG]From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users
    • [cs.LG]GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
    • [cs.LG]Go Wider Instead of Deeper
    • [cs.LG]Graph Convolutional Network with Generalized Factorized Bilinear Aggregation
    • [cs.LG]H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences
    • [cs.LG]Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
    • [cs.LG]How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
    • [cs.LG]Imbalanced Big Data Oversampling: Taxonomy, Algorithms, Software, Guidelines and Future Directions
    • [cs.LG]Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications
    • [cs.LG]In Defense of the Learning Without Forgetting for Task Incremental Learning
    • [cs.LG]Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning
    • [cs.LG]Local2Global: Scaling global representation learning on graphs via local training
    • [cs.LG]MLDev: Data Science Experiment Automation and Reproducibility Software
    • [cs.LG]Neural Circuit Synthesis from Specification Patterns
    • [cs.LG]On The Impact of Client Sampling on Federated Learning Convergence
    • [cs.LG]On the Sample Complexity of Privately Learning Axis-Aligned Rectangles
    • [cs.LG]ROD: Reception-aware Online Distillation for Sparse Graphs
    • [cs.LG]Reinforced Imitation Learning by Free Energy Principle
    • [cs.LG]SGD May Never Escape Saddle Points
    • [cs.LG]Self-Repairing Neural Networks: Provable Safety for Deep Networks via Dynamic Repair
    • [cs.LG]Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning
    • [cs.LG]Stable Dynamic Mode Decomposition Algorithm for Noisy Pressure-Sensitive Paint Measurement Data
    • [cs.LG]Tail of Distribution GAN (TailGAN): Generative- Adversarial-Network-Based Boundary Formation
    • [cs.LG]The Impact of Negative Sampling on Contrastive Structured World Models
    • [cs.LG]Thought Flow Nets: From Single Predictions to Trains of Model Thought
    • [cs.LG]Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Adaptive Refined Labeling
    • [cs.LG]Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings
    • [cs.LG]Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models
    • [cs.LG]Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images
    • [cs.LG]WiP Abstract : Robust Out-of-distribution Motion Detection and Localization in Autonomous CPS
    • [cs.LG]Workpiece Image-based Tool Wear Classification in Blanking Processes Using Deep Convolutional Neural Networks
    • [cs.NE]A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms
    • [cs.NE]A binary variant of gravitational search algorithm and its application to windfarm layout optimization problem
    • [cs.NE]H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks
    • [cs.NE]Towards Energy-efficient Quantized Deep SpikingNeural Networks for Hyperspectral Image Classification
    • [cs.NI]Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling
    • [cs.RO]Adaptive Identification of Legged Robotic Kinematic Structure
    • [cs.RO]An Internal Arc Fixation Channel and Automatic Planning Algorithm for Pelvic Fracture
    • [cs.RO]Autonomous Coordinated Control of the Light Guide for Positioning in Vitreoretinal Surgery
    • [cs.RO]DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning
    • [cs.RO]Group-based Motion Prediction for Navigation in Crowded Environments
    • [cs.RO]Improving Robot Localisation by Ignoring Visual Distraction
    • [cs.RO]Integer-Programming-Based Narrow-Passage Multi-Robot Path Planning with Effective Heuristics
    • [cs.RO]Learning Risk-aware Costmaps for Traversability in Challenging Environments
    • [cs.RO]Learning from Successful and Failed Demonstrations via Optimization
    • [cs.RO]Multi-Start n-Dimensional Lattice Planning with Optimal Motion Primitives
    • [cs.RO]One-Leg Stance of Humanoid Robot using Active Balance Control
    • [cs.RO]Pluto: Motion Detection for Navigation in a VR Headset
    • [cs.RO]Reinforcement Learning Compensated Extended Kalman Filter for Attitude Estimation
    • [cs.RO]Robotic Occlusion Reasoning for Efficient Object Existence Prediction
    • [cs.RO]The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts
    • [cs.SD]Automatic Detection Of Noise Events at Shooting Range Using Machine Learning
    • [cs.SD]Beyond Voice Identity Conversion: Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations
    • [cs.SD]Joint Direction and Proximity Classification of Overlapping Sound Events from Binaural Audio
    • [cs.SD]SVEva Fair: A Framework for Evaluating Fairness in Speaker Verification
    • [cs.SI]DECIFE: Detecting Collusive Users Involved in Blackmarket Following Services on Twitter
    • [cs.SI]IRLCov19: A Large COVID-19 Multilingual Twitter Dataset of Indian Regional Languages
    • [cs.SI]Predicting Influential Higher-Order Patterns in Temporal Network Data
    • [cs.SI]Pressure Test: Good Stress for Company Success
    • [cs.SI]Uncovering the structure of the French media ecosystem
    • [econ.EM]Adaptive Estimation and Uniform Confidence Bands for Nonparametric IV
    • [econ.GN]Inferring Economic Condition Uncertainty from Electricity Big Data
    • [eess.AS]A Study on Speech Enhancement Based on Diffusion Probabilistic Model
    • [eess.AS]Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue Imaging
    • [eess.IV]A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica
    • [eess.IV]A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation
    • [eess.IV]Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform
    • [eess.IV]B-line Detection in Lung Ultrasound Videos: Cartesian vs Polar Representation
    • [eess.IV]Deep Learning-based Frozen Section to FFPE Translation
    • [eess.IV]Deep-learning-driven Reliable Single-pixel Imaging with Uncertainty Approximation
    • [eess.IV]Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation
    • [eess.IV]Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective
    • [eess.IV]MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification
    • [eess.IV]Reconstructing Images of Two Adjacent Objects through Scattering Medium Using Generative Adversarial Network
    • [eess.IV]Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations
    • [eess.IV]Towards Generative Video Compression
    • [eess.IV]Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans
    • [eess.SP]End-to-End Deep Learning of Long-Haul Coherent Optical Fiber Communications via Regular Perturbation Model
    • [eess.SP]Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation
    • [eess.SY]Deep Learning Explicit Differentiable Predictive Control Laws for Buildings
    • [eess.SY]Utilizing synchronization to partition power networks into microgrids
    • [math.AT]Belief Propagation as Diffusion
    • [math.NA]A Shallow Ritz Method for elliptic problems with Singular Sources
    • [math.OC]Distributed stochastic inertial methods with delayed derivatives
    • [math.OC]Efficient QUBO transformation for Higher Degree Pseudo Boolean Functions
    • [math.OC]Enhanced Bilevel Optimization via Bregman Distance
    • [math.OC]Restless Bandits with Many Arms: Beating the Central Limit Theorem
    • [math.PR]Tsallis and Rényi deformations linked via a new 今日学术视野(2021.7.28) - 图3-duality
    • [math.ST]Convergence in quadratic mean of averaged stochastic gradient algorithms without strong convexity nor bounded gradient
    • [math.ST]Estimation of Stationary Optimal Transport Plans
    • [math.ST]From robust tests to Bayes-like posterior distributions
    • [math.ST]Inference for Heteroskedastic PCA with Missing Data
    • [math.ST]On the Le Cam distance between multivariate hypergeometric and multivariate normal experiments
    • [math.ST]Plugin Estimation of Smooth Optimal Transport Maps
    • [q-bio.BM]Protein-RNA interaction prediction with deep learning: Structure matters
    • [q-bio.GN]Graph Representation Learning on Tissue-Specific Multi-Omics
    • [q-bio.QM]6DCNN with roto-translational convolution filters for volumetric data processing
    • [q-bio.QM]Identifying the fragment structure of the organic compounds by deeply learning the original NMR data
    • [quant-ph]Stabilizer codes for Open Quantum Systems
    • [stat.AP]A Real Time Monitoring Approach for Bivariate Event Data
    • [stat.AP]Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London
    • [stat.CO]A Survey of Monte Carlo Methods for Parameter Estimation
    • [stat.CO]Automatic tempered posterior distributions for Bayesian inversion problems
    • [stat.ME]A Comparison of Various Aggregation Functions in Multi-Criteria Decision Analysis for Drug Benefit-Risk Assessment
    • [stat.ME]A Novel Bivariate Generalized Weibull Distribution with Properties and Applications
    • [stat.ME]A Robust Partial Correlation-based Screening Approach
    • [stat.ME]A principled (and practical) test for network comparison
    • [stat.ME]Conditional Inference for Multivariate Generalised Linear Mixed Models
    • [stat.ME]E-Bayesian Estimation For Some Characteristics Of Weibull Generalized Exponential Progressive Type-II Censored Samples
    • [stat.ME]Efficient nonparametric estimation of the covariate-adjusted threshold-response function, a support-restricted stochastic intervention
    • [stat.ME]Improved inference for vaccine-induced immune responses via shape-constrained methods
    • [stat.ME]Max-Type and Sum-Type Procedures for Online Change-Point Detection in the Mean of High-Dimensional Data
    • [stat.ME]Multipartition model for multiple change point identification
    • [stat.ME]On matching-adjusted indirect comparison and calibration estimation
    • [stat.ME]Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package
    • [stat.ML]Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support
    • [stat.ML]Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits
    • [stat.ML]Inference of collective Gaussian hidden Markov models
    • [stat.ML]State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics

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

    • [astro-ph.HE]Combining Maximum-Likelihood with Deep Learning for Event Reconstruction in IceCube
    Mirco Hünnefeld
    http://arxiv.org/abs/2107.12110v1

    • [cond-mat.stat-mech]Nonreversible Markov chain Monte Carlo algorithm for efficient generation of Self-Avoiding Walks
    Hanqing Zhao, Marija Vucelja
    http://arxiv.org/abs/2107.11542v1

    • [cs.AI]3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework
    Xi Guan, Guang Yang, Jianming Ye, Weiji Yang, Xiaomei Xu, Weiwei Jiang, Xiaobo Lai
    http://arxiv.org/abs/2107.12046v1

    • [cs.AI]Benign Adversarial Attack: Tricking Algorithm for Goodness
    Xian Zhao, Jiaming Zhang, Zhiyu Lin, Jitao Sang
    http://arxiv.org/abs/2107.11986v1

    • [cs.AI]HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis
    Jingxiao Liu, Susu Xu, Mario Bergés, Hae Young Noh
    http://arxiv.org/abs/2107.11435v1

    • [cs.AI]Measuring Ethics in AI with AI: A Methodology and Dataset Construction
    Pedro H. C. Avelar, Rafael B. Audibert, Anderson R. Tavares, Luís C. Lamb
    http://arxiv.org/abs/2107.11913v1

    • [cs.AI]New Algebraic Normative Theories for Ethical and Legal Reasoning in the LogiKEy Framework
    Ali Farjami
    http://arxiv.org/abs/2107.11838v1

    • [cs.AI]On Blame Attribution for Accountable Multi-Agent Sequential Decision Making
    Stelios Triantafyllou, Adish Singla, Goran Radanovic
    http://arxiv.org/abs/2107.11927v1

    • [cs.AI]Playtesting: What is Beyond Personas
    Sinan Ariyurek, Elif Surer, Aysu Betin-Can
    http://arxiv.org/abs/2107.11965v1

    • [cs.AI]Predicting Game Engagement and Difficulty Using AI Players
    Shaghayegh Roohi, Christian Guckelsberger, Asko Relas, Henri Heiskanen, Jari Takatalo, Perttu Hämäläinen
    http://arxiv.org/abs/2107.12061v1

    • [cs.AI]Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption
    Alessandro Antonucci, Alessandro Facchini, Lilith Mattei
    http://arxiv.org/abs/2107.12130v1

    • [cs.AI]Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
    Lingwei Wei, Dou Hu, Wei Zhou, Zhaojuan Yue, Songlin Hu
    http://arxiv.org/abs/2107.11934v1

    • [cs.CC]Logspace Reducibility From Secret Leakage Planted Clique
    Jay Mardia
    http://arxiv.org/abs/2107.11886v1

    • [cs.CE]Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques
    T. Kadeethum, F. Ballarin, Y. Cho, D. O’Malley, H. Yoon, N. Bouklas
    http://arxiv.org/abs/2107.11460v1

    • [cs.CL]A Joint and Domain-Adaptive Approach to Spoken Language Understanding
    Linhao Zhang, Yu Shi, Linjun Shou, Ming Gong, Houfeng Wang, Michael Zeng
    http://arxiv.org/abs/2107.11768v1

    • [cs.CL]An Argumentative Dialogue System for COVID-19 Vaccine Information
    Bettina Fazzinga, Andrea Galassi, Paolo Torroni
    http://arxiv.org/abs/2107.12079v1

    • [cs.CL]Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases
    Jingqing Zhang, Luis Bolanos, Ashwani Tanwar, Albert Sokol, Julia Ive, Vibhor Gupta, Yike Guo
    http://arxiv.org/abs/2107.11665v1

    • [cs.CL]Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition
    Abbas Ghaddar, Philippe Langlais, Ahmad Rashid, Mehdi Rezagholizadeh
    http://arxiv.org/abs/2107.11610v1

    • [cs.CL]DYPLODOC: Dynamic Plots for Document Classification
    Anastasia Malysheva, Alexey Tikhonov, Ivan P. Yamshchikov
    http://arxiv.org/abs/2107.12226v1

    • [cs.CL]Differentiable Allophone Graphs for Language-Universal Speech Recognition
    Brian Yan, Siddharth Dalmia, David R. Mortensen, Florian Metze, Shinji Watanabe
    http://arxiv.org/abs/2107.11628v1

    • [cs.CL]Exploiting Language Model for Efficient Linguistic Steganalysis: An Empirical Study
    Biao Yi, Hanzhou Wu, Guorui Feng, Xinpeng Zhang
    http://arxiv.org/abs/2107.12168v1

    • [cs.CL]Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives
    Jonas-Dario Troles, Ute Schmid
    http://arxiv.org/abs/2107.11584v1

    • [cs.CL]Fine-Grained Emotion Prediction by Modeling Emotion Definitions
    Gargi Singh, Dhanajit Brahma, Piyush Rai, Ashutosh Modi
    http://arxiv.org/abs/2107.12135v1

    • [cs.CL]Graph-free Multi-hop Reading Comprehension: A Select-to-Guide Strategy
    Bohong Wu, Zhuosheng Zhang, Hai Zhao
    http://arxiv.org/abs/2107.11823v1

    • [cs.CL]How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction
    Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua
    http://arxiv.org/abs/2107.12064v1

    • [cs.CL]Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference
    Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas
    http://arxiv.org/abs/2107.11879v1

    • [cs.CL]Learn to Focus: Hierarchical Dynamic Copy Network for Dialogue State Tracking
    Linhao Zhang, Houfeng Wang
    http://arxiv.org/abs/2107.11778v1

    • [cs.CL]Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction
    Lu Xu, Yew Ken Chia, Lidong Bing
    http://arxiv.org/abs/2107.12214v1

    • [cs.CL]MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation
    Ayush Garg, Sammed S Kagi, Vivek Srivastava, Mayank Singh
    http://arxiv.org/abs/2107.11534v1

    • [cs.CL]Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification
    ChengCheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao, Aoying Zhou
    http://arxiv.org/abs/2107.12262v1

    • [cs.CL]MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox
    Lukas Stappen, Lea Schumann, Benjamin Sertolli, Alice Baird, Benjamin Weigel, Erik Cambria, Björn W. Schuller
    http://arxiv.org/abs/2107.11757v1

    • [cs.CL]Multilingual Coreference Resolution with Harmonized Annotations
    Ondřej Pražák, Miloslav Konopík, Jakub Sido
    http://arxiv.org/abs/2107.12088v1

    • [cs.CL]Negation Handling in Machine Learning-Based Sentiment Classification for Colloquial Arabic
    Omar Al-Harbi
    http://arxiv.org/abs/2107.11597v1

    • [cs.CL]One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
    Akari Asai, Xinyan Yu, Jungo Kasai, Hannaneh Hajishirzi
    http://arxiv.org/abs/2107.11976v1

    • [cs.CL]Preliminary Steps Towards Federated Sentiment Classification
    Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
    http://arxiv.org/abs/2107.11956v1

    • [cs.CL]Revisiting Negation in Neural Machine Translation
    Gongbo Tang, Philipp Rönchen, Rico Sennrich, Joakim Nivre
    http://arxiv.org/abs/2107.12203v1

    • [cs.CL]Similarity Based Label Smoothing For Dialogue Generation
    Sougata Saha, Souvik Das, Rohini Srihari
    http://arxiv.org/abs/2107.11481v1

    • [cs.CL]Stress Test Evaluation of Biomedical Word Embeddings
    Vladimir Araujo, Andrés Carvallo, Carlos Aspillaga, Camilo Thorne, Denis Parra
    http://arxiv.org/abs/2107.11652v1

    • [cs.CL]The USYD-JD Speech Translation System for IWSLT 2021
    Liang Ding, Di Wu, Dacheng Tao
    http://arxiv.org/abs/2107.11572v1

    • [cs.CL]Towards Controlled and Diverse Generation of Article Comments
    Linhao Zhang, Houfeng Wang
    http://arxiv.org/abs/2107.11781v1

    • [cs.CL]Transferable Dialogue Systems and User Simulators
    Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig, Bill Byrne
    http://arxiv.org/abs/2107.11904v1

    • [cs.CR]HW2VEC: A Graph Learning Tool for Automating Hardware Security
    Shih-Yuan Yu, Rozhin Yasaei, Qingrong Zhou, Tommy Nguyen, Mohammad Abdullah Al Faruque
    http://arxiv.org/abs/2107.12328v1

    • [cs.CR]Multi-Perspective Content Delivery Networks Security Framework Using Optimized Unsupervised Anomaly Detection
    Li Yang, Abdallah Moubayed, Abdallah Shami, Parisa Heidari, Amine Boukhtouta, Adel Larabi, Richard Brunner, Stere Preda, Daniel Migault
    http://arxiv.org/abs/2107.11514v1

    • [cs.CV]A Multiple-Instance Learning Approach for the Assessment of Gallbladder Vascularity from Laparoscopic Images
    C. Loukas, A. Gazis, D. Schizas
    http://arxiv.org/abs/2107.12093v1

    • [cs.CV]AA3DNet: Attention Augmented Real Time 3D Object Detection
    Abhinav Sagar
    http://arxiv.org/abs/2107.12137v1

    • [cs.CV]ASOD60K: Audio-Induced Salient Object Detection in Panoramic Videos
    Yi Zhang, Fang-Yi Chao, Ge-Peng Ji, Deng-Ping Fan, Lu Zhang, Ling Shao
    http://arxiv.org/abs/2107.11629v1

    • [cs.CV]Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference
    Juncheng Li, Siliang Tang, Linchao Zhu, Haochen Shi, Xuanwen Huang, Fei Wu, Yi Yang, Yueting Zhuang
    http://arxiv.org/abs/2107.12270v1

    • [cs.CV]Adaptive Recursive Circle Framework for Fine-grained Action Recognition
    Hanxi Lin, Xinxiao Wu, Jiebo Luo
    http://arxiv.org/abs/2107.11813v1

    • [cs.CV]Alleviate Representation Overlapping in Class Incremental Learning by Contrastive Class Concentration
    Zixuan Ni, Haizhou shi, Siliang tang, Yueting Zhuang
    http://arxiv.org/abs/2107.12308v1

    • [cs.CV]An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Models
    Hieu T. Ung, Huy Q. Ung, Binh T. Nguyen
    http://arxiv.org/abs/2107.12189v1

    • [cs.CV]An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products
    Maryam Habibpour, Hassan Gharoun, AmirReza Tajally, Afshar Shamsi, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi
    http://arxiv.org/abs/2107.11643v1

    • [cs.CV]Augmentation Pathways Network for Visual Recognition
    Yalong Bai, Mohan Zhou, Yuxiang Chen, Wei Zhang, Bowen Zhou, Tao Mei
    http://arxiv.org/abs/2107.11990v1

    • [cs.CV]Bangla sign language recognition using concatenated BdSL network
    Thasin Abedin, Khondokar S. S. Prottoy, Ayana Moshruba, Safayat Bin Hakim
    http://arxiv.org/abs/2107.11818v1

    • [cs.CV]Boosting Entity-aware Image Captioning with Multi-modal Knowledge Graph
    Wentian Zhao, Yao Hu, Heda Wang, Xinxiao Wu, Jiebo Luo
    http://arxiv.org/abs/2107.11970v1

    • [cs.CV]Boosting Video Captioning with Dynamic Loss Network
    Nasibullah, Partha Pratim Mohanta
    http://arxiv.org/abs/2107.11707v1

    • [cs.CV]CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images
    Zhenhua Xu, Yuxiang Sun, Lujia Wang, Ming Liu
    http://arxiv.org/abs/2107.11920v1

    • [cs.CV]Can Action be Imitated? Learn to Reconstruct and Transfer Human Dynamics from Videos
    Yuqian Fu, Yanwei Fu, Yu-Gang Jiang
    http://arxiv.org/abs/2107.11756v1

    • [cs.CV]Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
    Yuxin Chen, Ziqi Zhang, Chunfeng Yuan, Bing Li, Ying Deng, Weiming Hu
    http://arxiv.org/abs/2107.12213v1

    • [cs.CV]Character Spotting Using Machine Learning Techniques
    P Preethi, Hrishikesh Viswanath
    http://arxiv.org/abs/2107.11795v1

    • [cs.CV]Clustering by Maximizing Mutual Information Across Views
    Kien Do, Truyen Tran, Svetha Venkatesh
    http://arxiv.org/abs/2107.11635v1

    • [cs.CV]Comprehensive Studies for Arbitrary-shape Scene Text Detection
    Pengwen Dai, Xiaochun Cao
    http://arxiv.org/abs/2107.11800v1

    • [cs.CV]Contextual Transformer Networks for Visual Recognition
    Yehao Li, Ting Yao, Yingwei Pan, Tao Mei
    http://arxiv.org/abs/2107.12292v1

    • [cs.CV]Continental-Scale Building Detection from High Resolution Satellite Imagery
    Wojciech Sirko, Sergii Kashubin, Marvin Ritter, Abigail Annkah, Yasser Salah Edine Bouchareb, Yann Dauphin, Daniel Keysers, Maxim Neumann, Moustapha Cisse, John Quinn
    http://arxiv.org/abs/2107.12283v1

    • [cs.CV]Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions
    Qian Yu, Lei Qi, Luping Zhou, Lei Wang, Yilong Yin, Yinghuan Shi, Wuzhang Wang, Yang Gao
    http://arxiv.org/abs/2107.11517v1

    • [cs.CV]Cycled Compositional Learning between Images and Text
    Jongseok Kim, Youngjae Yu, Seunghwan Lee, GunheeKim
    http://arxiv.org/abs/2107.11509v1

    • [cs.CV]Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?
    Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande
    http://arxiv.org/abs/2107.11447v1

    • [cs.CV]Deep Machine Learning Based Egyptian Vehicle License Plate Recognition Systems
    Mohamed Shehata, Mohamed Taha Abou-Kreisha, Hany Elnashar
    http://arxiv.org/abs/2107.11640v1

    • [cs.CV]Denoising and Segmentation of Epigraphical Scripts
    P Preethi, Hrishikesh Viswanath
    http://arxiv.org/abs/2107.11801v1

    • [cs.CV]Distributional Shifts in Automated Diabetic Retinopathy Screening
    Jay Nandy, Wynne Hsu, Mong Li Lee
    http://arxiv.org/abs/2107.11822v1

    • [cs.CV]Efficient Large Scale Inlier Voting for Geometric Vision Problems
    Dror Aiger, Simon Lynen, Jan Hosang, Bernhard Zeisl
    http://arxiv.org/abs/2107.11810v1

    • [cs.CV]Efficient Video Object Segmentation with Compressed Video
    Kai Xu, Angela Yao
    http://arxiv.org/abs/2107.12192v1

    • [cs.CV]Facetron: Multi-speaker Face-to-Speech Model based on Cross-modal Latent Representations
    Se-Yun Um, Jihyun Kim, Jihyun Lee, Sangshin Oh, Kyungguen Byun, Hong-Goo Kang
    http://arxiv.org/abs/2107.12003v1

    • [cs.CV]Going Deeper into Semi-supervised Person Re-identification
    Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh
    http://arxiv.org/abs/2107.11566v1

    • [cs.CV]HANet: Hierarchical Alignment Networks for Video-Text Retrieval
    Peng Wu, Xiangteng He, Mingqian Tang, Yiliang Lv, Jing Liu
    http://arxiv.org/abs/2107.12059v1

    • [cs.CV]HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration
    Fan Lu, Guang Chen, Yinlong Liu, Lijun Zhang, Sanqing Qu, Shu Liu, Rongqi Gu
    http://arxiv.org/abs/2107.11992v1

    • [cs.CV]Hand Image Understanding via Deep Multi-Task Learning
    Zhang Xiong, Huang Hongsheng, Tan Jianchao, Xu Hongmin, Yang Cheng, Peng Guozhu, Wang Lei, Liu
    1793
    Ji
    http://arxiv.org/abs/2107.11646v1

    • [cs.CV]ICDAR 2021 Competition on Scene Video Text Spotting
    Zhanzhan Cheng, Jing Lu, Baorui Zou, Shuigeng Zhou, Fei Wu
    http://arxiv.org/abs/2107.11919v1

    • [cs.CV]Image-Based Parking Space Occupancy Classification: Dataset and Baseline
    Martin Marek
    http://arxiv.org/abs/2107.12207v1

    • [cs.CV]Improve Unsupervised Pretraining for Few-label Transfer
    Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Bin Liu, Nenghai Yu
    http://arxiv.org/abs/2107.12369v1

    • [cs.CV]Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition
    Ayan Kumar Bhunia, Aneeshan Sain, Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury, Yi-Zhe Song
    http://arxiv.org/abs/2107.12090v1

    • [cs.CV]LAConv: Local Adaptive Convolution for Image Fusion
    Zi-Rong Jin, Liang-Jian Deng, Tai-Xiang Jiang, Tian-Jing Zhang
    http://arxiv.org/abs/2107.11617v1

    • [cs.CV]Language Models as Zero-shot Visual Semantic Learners
    Yue Jiao, Jonathon Hare, Adam Prügel-Bennett
    http://arxiv.org/abs/2107.12021v1

    • [cs.CV]Learning to Adversarially Blur Visual Object Tracking
    Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao
    http://arxiv.org/abs/2107.12085v1

    • [cs.CV]Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation
    Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaid, Ferdous Sohel, Dan Xu
    http://arxiv.org/abs/2107.11787v1

    • [cs.CV]Log-Polar Space Convolution for Convolutional Neural Networks
    Bing Su, Ji-Rong Wen
    http://arxiv.org/abs/2107.11943v1

    • [cs.CV]Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data
    Yuqian Fu, Yanwei Fu, Yu-Gang Jiang
    http://arxiv.org/abs/2107.11978v1

    • [cs.CV]Multi-Label Image Classification with Contrastive Learning
    Son D. Dao, Ethan Zhao, Dinh Phung, Jianfei Cai
    http://arxiv.org/abs/2107.11626v1

    • [cs.CV]NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting
    Tiancheng Sun, Kai-En Lin, Sai Bi, Zexiang Xu, Ravi Ramamoorthi
    http://arxiv.org/abs/2107.12351v1

    • [cs.CV]On-Device Content Moderation
    Anchal Pandey, Sukumar Moharana, Debi Prasanna Mohanty, Archit Panwar, Dewang Agarwal, Siva Prasad Thota
    http://arxiv.org/abs/2107.11845v1

    • [cs.CV]Parametric Contrastive Learning
    Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia
    http://arxiv.org/abs/2107.12028v1

    • [cs.CV]Perceptually Validated Precise Local Editing for Facial Action Units with StyleGAN
    Alara Zindancıoğlu, T. Metin Sezgin
    http://arxiv.org/abs/2107.12143v1

    • [cs.CV]PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition
    Qiang Meng, Xiaqing Xu, Xiaobo Wang, Yang Qian, Yunxiao Qin, Zezheng Wang, Chenxu Zhao, Feng Zhou, Zhen Lei
    http://arxiv.org/abs/2107.11721v1

    • [cs.CV]Rank & Sort Loss for Object Detection and Instance Segmentation
    Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan
    http://arxiv.org/abs/2107.11669v1

    • [cs.CV]ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation
    Tsung-Han Wu, Yueh-Cheng Liu, Yu-Kai Huang, Hsin-Ying Lee, Hung-Ting Su, Ping-Chia Huang, Winston H. Hsu
    http://arxiv.org/abs/2107.11769v1

    • [cs.CV]Self-Conditioned Probabilistic Learning of Video Rescaling
    Yuan Tian, Guo Lu, Xiongkuo Min, Zhaohui Che, Guangtao Zhai, Guodong Guo, Zhiyong Gao
    http://arxiv.org/abs/2107.11639v1

    • [cs.CV]Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images
    Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Xu Tang, Chen Li, Licheng Jiao, Huiyu Zhou
    http://arxiv.org/abs/2107.11758v1

    • [cs.CV]Semantic-guided Pixel Sampling for Cloth-Changing Person Re-identification
    Xiujun Shu, Ge Li, Xiao Wang, Weijian Ruan, Qi Tian
    http://arxiv.org/abs/2107.11522v1

    • [cs.CV]Spatial-Temporal Transformer for Dynamic Scene Graph Generation
    Yuren Cong, Wentong Liao, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
    http://arxiv.org/abs/2107.12309v1

    • [cs.CV]Spatio-Temporal Representation Factorization for Video-based Person Re-Identification
    Abhishek Aich, Meng Zheng, Srikrishna Karanam, Terrence Chen, Amit K. Roy-Chowdhury, Ziyan Wu
    http://arxiv.org/abs/2107.11878v1

    • [cs.CV]Synthetic Periocular Iris PAI from a Small Set of Near-Infrared-Images
    Jose Maureira, Juan Tapia, Claudia Arellano, Christoph Busch
    http://arxiv.org/abs/2107.12014v1

    • [cs.CV]Temporal Alignment Prediction for Few-Shot Video Classification
    Fei Pan, Chunlei Xu, Jie Guo, Yanwen Guo
    http://arxiv.org/abs/2107.11960v1

    • [cs.CV]Temporal-wise Attention Spiking Neural Networks for Event Streams Classification
    Man Yao, Huanhuan Gao, Guangshe Zhao, Dingheng Wang, Yihan Lin, Zhaoxu Yang, Guoqi Li
    http://arxiv.org/abs/2107.11711v1

    • [cs.CV]Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation
    Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Yi-Zhe Song
    http://arxiv.org/abs/2107.12087v1

    • [cs.CV]TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos
    Praveen Tirupattur, Aayush J Rana, Tushar Sangam, Shruti Vyas, Yogesh S Rawat, Mubarak Shah
    http://arxiv.org/abs/2107.11494v1

    • [cs.CV]Towards Unbiased Visual Emotion Recognition via Causal Intervention
    Yuedong Chen, Xu Yang, Tat-Jen Cham, Jianfei Cai
    http://arxiv.org/abs/2107.12096v1

    • [cs.CV]Towards the Unseen: Iterative Text Recognition by Distilling from Errors
    Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song
    http://arxiv.org/abs/2107.12081v1

    • [cs.CV]Transcript to Video: Efficient Clip Sequencing from Texts
    Yu Xiong, Fabian Caba Heilbron, Dahua Lin
    http://arxiv.org/abs/2107.11851v1

    • [cs.CV]Transductive Maximum Margin Classifier for Few-Shot Learning
    Fei Pan, Chunlei Xu, Jie Guo, Yanwen Guo
    http://arxiv.org/abs/2107.11975v1

    • [cs.CV]Two Headed Dragons: Multimodal Fusion and Cross Modal Transactions
    Rupak Bose, Shivam Pande, Biplab Banerjee
    http://arxiv.org/abs/2107.11585v1

    • [cs.CV]Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts
    Alfred Laugros, Alice Caplier, Matthieu Ospici
    http://arxiv.org/abs/2107.12052v1

    • [cs.CV]What Remains of Visual Semantic Embeddings
    Yue Jiao, Jonathon Hare, Adam Prügel-Bennett
    http://arxiv.org/abs/2107.11991v1

    • [cs.CV]Will Multi-modal Data Improves Few-shot Learning?
    Zilun Zhang, Shihao Ma, Yichun Zhang
    http://arxiv.org/abs/2107.11853v1

    • [cs.CV]X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering
    Jingjing Jiang, Ziyi Liu, Yifan Liu, Zhixiong Nan, Nanning Zheng
    http://arxiv.org/abs/2107.11576v1

    • [cs.CY]‘No, auntie, that’s false’: Female baby boomers develop critical skills to confront fake news with guidance from relatives
    Andrea Pecho-Ninapaytan, Stefany Zambrano-Zuta, Lizardo Vargas-Bianchi
    http://arxiv.org/abs/2107.12312v1

    • [cs.CY]Assertion-based Approaches to Auditing Complex Elections, with application to party-list proportional elections
    Michelle Blom, Jurlind Budurushi, Ronald L. Rivest, Philip B. Stark, Peter J. Stuckey, Vanessa Teague, Damjan Vukcevic
    http://arxiv.org/abs/2107.11903v1

    • [cs.CY]Collaborative Problem Solving on a Data Platform Kaggle
    Teruaki Hayashi, Takumi Shimizu, Yoshiaki Fukami
    http://arxiv.org/abs/2107.11929v1

    • [cs.CY]Living in a pandemic: adaptation of individual mobility and social activity in the US
    Lorenzo Lucchini, Simone Centellegher, Luca Pappalardo, Riccardo Gallotti, Filippo Privitera, Bruno Lepri, Marco De Nadai
    http://arxiv.org/abs/2107.12235v1

    • [cs.CY]The False COVID-19 Narratives That Keep Being Debunked: A Spatiotemporal Analysis
    Iknoor Singh, Kalina Bontcheva, Carolina Scarton
    http://arxiv.org/abs/2107.12303v1

    • [cs.DB]Blockchain Transaction Processing
    Suyash Gupta, Mohammad Sadoghi
    http://arxiv.org/abs/2107.11592v1

    • [cs.DC]A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization — Extended Technical Report
    Laurens Versluis, Mehmet Cetin, Caspar Greeven, Kristian Laursen, Damian Podareanu, Valeriu Codreanu, Alexandru Uta, Alexandru Iosup
    http://arxiv.org/abs/2107.11832v1

    • [cs.DC]A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing
    Bingbing Rao, Liqiang Wang
    http://arxiv.org/abs/2107.11540v1

    • [cs.DC]Cost-effective Land Cover Classification for Remote Sensing Images
    Dongwei Li, Shuliang Wang, Nan Gao, Qiang He, Yun Yang
    http://arxiv.org/abs/2107.12016v1

    • [cs.DC]MARS: Middleware for Adaptive Reflective Computer Systems
    Tiago Mück, Bryan Donyanavard, Biswadip Maity, Kasra Moazzemi, Nikil Dutt
    http://arxiv.org/abs/2107.11417v1

    • [cs.DC]Octo-Tiger’s New Hydro Module and Performance Using HPX+CUDA on ORNL’s Summit
    Patrick Diehl, Gregor Daiß, Dominic Marcello, Kevin Huck, Sagiv Shiber, Hartmut Kaiser, Juhan Frank, Dirk Pflüger
    http://arxiv.org/abs/2107.10987v2

    • [cs.DC]Overview of Bachelors Theses 2021
    Vitaly Aksenov
    http://arxiv.org/abs/2107.12332v1

    • [cs.DC]Performance assessment of CUDA and OpenACC in large scale combustion simulations
    Guillermo Oyarzun, Dani Mira, Guillaume Houzeaux
    http://arxiv.org/abs/2107.11541v1

    • [cs.DC]Performance vs Programming Effort between Rust and C on Multicore Architectures: Case Study in N-Body
    Manuel Costanzo, Enzo Rucci, Marcelo Naiouf, Armando De Giusti
    http://arxiv.org/abs/2107.11912v1

    • [cs.DC]Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs
    Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
    http://arxiv.org/abs/2107.12065v1

    • [cs.DC]SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis
    Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang
    http://arxiv.org/abs/2107.11536v1

    • [cs.DC]TriPoll: Computing Surveys of Triangles in Massive-Scale Temporal Graphs with Metadata
    Trevor Steil, Tahsin Reza, Keita Iwabuchi, Benjamin W. Priest, Geoffrey Sanders, Roger Pearce
    http://arxiv.org/abs/2107.12330v1

    • [cs.DL]Caveats for the use of Web of Science Core Collection in old literature retrieval and historical bibliometric analysis
    Weishu Liu
    http://arxiv.org/abs/2107.11521v1

    • [cs.DL]Journal subject classification: intra- and inter-system discrepancies in Web Of Science and Scopus
    Shir Aviv-Reuven, Ariel Rosenfeld
    http://arxiv.org/abs/2107.12222v1

    • [cs.DS]Efficient inference of interventional distributions
    Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, Vedant Raval, N. V. Vinodchandran
    http://arxiv.org/abs/2107.11712v1

    • [cs.DS]Power of human-algorithm collaboration in solving combinatorial optimization problems
    Tapani Toivonen
    http://arxiv.org/abs/2107.11784v1

    • [cs.GT]Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach
    Fengjiao Li, Jia Liu, Bo Ji
    http://arxiv.org/abs/2107.11728v1

    • [cs.HC]Multimodal Fusion Using Deep Learning Applied to Driver’s Referencing of Outside-Vehicle Objects
    Abdul Rafey Aftab, Michael von der Beeck, Steven Rohrhirsch, Benoit Diotte, Michael Feld
    http://arxiv.org/abs/2107.12167v1

    • [cs.IR]Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19
    Kevin Roitero, Michael Soprano, Beatrice Portelli, Massimiliano De Luise, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini
    http://arxiv.org/abs/2107.11755v1

    • [cs.IR]Content-based Music Recommendation: Evolution, State of the Art, and Challenges
    Yashar Deldjoo, Markus Schedl, Peter Knees
    http://arxiv.org/abs/2107.11803v1

    • [cs.IR]ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding
    Zhiqiang Wang, Qingyun She, PengTao Zhang, Junlin Zhang
    http://arxiv.org/abs/2107.12025v1

    • [cs.IR]Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction
    Qingyun She, Zhiqiang Wang, Junlin Zhang
    http://arxiv.org/abs/
    6698
    /2107.12024v1
    6698
    /2107.12024v1)

    • [cs.IR]Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction
    Qingyun She, Zhiqiang Wang, Junlin Zhang
    http://arxiv.org/abs/2107.12024v1

    • [cs.IT]6ff
    Binary sequences with low correlation via cyclotomic function fields
    Lingfei Jin, Liming Ma, Chaoping Xing
    http://arxiv.org/abs/2107.11766v1

    • [cs.IT]Channel Estimation for IRS-Assisted Millimeter-Wave MIMO Systems: Sparsity-Inspired Approaches
    Tian Lin, Xianghao Yu, Yu Zhu, Robert Schober
    http://arxiv.org/abs/2107.11605v1

    • [cs.IT]Correlation, Linear Complexity, Maximum order Complexity on Families of binary Sequences
    Zhixiong Chen, Ana I. Gómez, Domingo Gómez-Pérez, Andrew Tirkel
    http://arxiv.org/abs/2107.11840v1

    • [cs.IT]Double-RIS Communication with DF Relaying for Coverage Extension: Is One Relay Enough?
    Zaid Abdullah, Steven Kisseleff, Konstantinos Ntontin, Wallace Alves Martins, Symeon Chatzinotas, Bjorn Ottersten
    http://arxiv.org/abs/2107.12083v1

    • [cs.IT]Effective Capacity Analysis of HARQ-enabled D2D Communication in Multi-Tier Cellular Networks
    Syed Waqas Haider Shah, Muhammad Mahboob-ur-Rahman, Adnan Noor Mian, Octavia A. Dobre, Jon Crowcroft
    http://arxiv.org/abs/2107.12217v1

    • [cs.IT]Error Floor Analysis of LDPC Column Layered Decoders
    Ali Farsiabi, Amir H. Banihashemi
    http://arxiv.org/abs/2107.11479v1

    • [cs.IT]Low-bandwidth recovery of linear functions of Reed-Solomon-encoded data
    Noah Shutty, Mary Wootters
    http://arxiv.org/abs/2107.11847v1

    • [cs.IT]Multi-Rate Nyquist-SCM for C-Band 100Gbit/s Signal over 50km Dispersion-Uncompensated Link
    Haide Wang, Ji Zhou, Jinlong Wei, Dong Guo, Yuanhua Feng, Weiping Liu, Changyuan Yu, Dawei Wang, Zhaohui Li
    http://arxiv.org/abs/2107.11792v1

    • [cs.IT]New constructions of 今日学术视野(2021.7.28) - 图4-Ary 2-D Z-Complementary Array Pairs
    Hui Zhang, Cuiling Fan, Sihem Mesnager
    http://arxiv.org/abs/2107.11599v1

    • [cs.IT]On the Scheduling and Power Control for Uplink Cellular-Connected UAV Communications
    Xuesong Cai, István Z. Kovács, Jeroen Wigard, Rafhael Amorim, Fredrik Tufvesson, Preben E. Mogensen
    http://arxiv.org/abs/2107.11738v1

    • [cs.IT]Position-agnostic Algebraic Estimation of 6G V2X MIMO Channels via Unsupervised Learning
    Lorenzo Cazzella, Dario Tagliaferri, Marouan Mizmizi, Matteo Matteucci, Damiano Badini, Christian Mazzucco, Umberto Spagnolini
    http://arxiv.org/abs/2107.12098v1

    • [cs.IT]Reconfigurable Intelligent Surface Phase Hopping for Ultra-Reliable Communications
    Karl-Ludwig Besser, Eduard A. Jorswieck
    http://arxiv.org/abs/2107.11852v1

    • [cs.IT]Revisiting Analog Over-the-Air Machine Learning: The Blessing and Curse of Interference
    Howard H. Yang, Zihan Chen, Tony Q. S. Quek, H. Vincent Poor
    http://arxiv.org/abs/2107.11733v1

    • [cs.IT]Uplink Data Detection Analysis of 1-Bit Quantized Massive MIMO
    Italo Atzeni, Antti Tölli
    http://arxiv.org/abs/2107.12331v1

    • [cs.LG]今日学术视野(2021.7.28) - 图5DARTS: Model Uncertainty-Aware Differentiable Architecture Search
    Biswadeep Chakraborty, Saibal Mukhopadhyay
    http://arxiv.org/abs/2107.11500v1

    • [cs.LG]A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification
    Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini, Marco A. Deriu
    http://arxiv.org/abs/2107.11609v1

    • [cs.LG]A brief note on understanding neural networks as Gaussian processes
    Mengwu Guo
    http://arxiv.org/abs/2107.11892v1

    • [cs.LG]A general sample complexity analysis of vanilla policy gradient
    Rui Yuan, Robert M. Gower, Alessandro Lazaric
    http://arxiv.org/abs/2107.11433v1

    • [cs.LG]AAVAE: Augmentation-Augmented Variational Autoencoders
    William Falcon, Ananya Harsh Jha, Teddy Koker, Kyunghyun Cho
    http://arxiv.org/abs/2107.12329v1

    • [cs.LG]Adversarial training may be a double-edged sword
    Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Huaiyu Dai
    http://arxiv.org/abs/2107.11671v1

    • [cs.LG]Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes
    Xin-Chun Li, Le Gan, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
    http://arxiv.org/abs/2107.11954v1

    • [cs.LG]Are Bayesian neural networks intrinsically good at out-of-distribution detection?
    Christian Henning, Francesco D’Angelo, Benjamin F. Grewe
    http://arxiv.org/abs/2107.12248v1

    • [cs.LG]Compensation Learning
    Rujing Yao, Mengyang Li, Ou Wu
    http://arxiv.org/abs/2107.11921v1

    • [cs.LG]Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
    Lucas Liebenwein, Alaa Maalouf, Oren Gal, Dan Feldman, Daniela Rus
    http://arxiv.org/abs/2107.11442v1

    • [cs.LG]Decentralized Federated Learning: Balancing Communication and Computing Costs
    Wei Liu, Li Chen, Wenyi Zhang
    http://arxiv.org/abs/2107.12048v1

    • [cs.LG]Decision-forest voting scheme for classification of rare classes in network intrusion detection
    Jan Brabec, Lukas Machlica
    http://arxiv.org/abs/2107.11862v1

    • [cs.LG]Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
    Florian Tramèr
    http://arxiv.org/abs/2107.11630v1

    • [cs.LG]Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning
    Chung-Hsuan Hu, Zheng Chen, Erik G. Larsson
    http://arxiv.org/abs/2107.11415v1

    • [cs.LG]Dissecting FLOPs along input dimensions for GreenAI cost estimations
    Andrea Asperti, Davide Evangelista, Moreno Marzolla
    http://arxiv.org/abs/2107.11949v1

    • [cs.LG]Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover’s Distance
    Alexander Tong, Guillaume Huguet, Dennis Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy
    http://arxiv.org/abs/2107.12334v1

    • [cs.LG]FedLab: A Flexible Federated Learning Framework
    Dun Zeng, Siqi Liang, Xiangjing Hu, Zenglin Xu
    http://arxiv.org/abs/2107.11621v1

    • [cs.LG]Federated Causal Inference in Heterogeneous Observational Data
    Ruoxuan Xiong, Allison Koenecke, Michael Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey
    http://arxiv.org/abs/2107.11732v1

    • [cs.LG]Free Hyperbolic Neural Networks with Limited Radii
    Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
    http://arxiv.org/abs/2107.11472v1

    • [cs.LG]From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users
    Quyen Tran, Lam Tran, Linh Chu Hai, Linh Ngo Van, Khoat Than
    http://arxiv.org/abs/2107.12325v1

    • [cs.LG]GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
    Lucie Charlotte Magister, Dmitry Kazhdan, Vikash Singh, Pietro Liò
    http://arxiv.org/abs/
    1000
    /2107.11889v1
    1000
    /2107.11889v1)

    • [cs.LG]Go Wider Instead of Deeper
    Fuzhao Xue, Ziji Shi, Yuxuan Lou, Yong Liu, Yang You
    http://arxiv.org/abs/2107.11817v1

    • [cs.LG]Graph Convolutional Network with Generalized Factorized Bilinear Aggregation
    Hao Zhu, Piotr Koniusz
    http://arxiv.org/abs/2107.11666v1

    • [cs.LG]H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences
    Zhenhai Zhu, Radu Soricut
    http://arxiv.org/abs/2107.11906v1

    • [cs.LG]Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
    Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen
    http://arxiv.org/abs/2107.12216v1

    • [cs.LG]How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
    Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
    http://arxiv.org/abs/2107.12045v1

    • [cs.LG]Imbalanced Big Data Oversampling: Taxonomy, Algorithms, Software, Guidelines and Future Directions
    William C. Sleeman IV, Bartosz Krawczyk
    http://arxiv.org/abs/2107.11508v1

    • [cs.LG]Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications
    Yeli Feng, Daniel Jun Xian Ng, Arvind Easwaran
    http://arxiv.org/abs/2107.11750v1

    • [cs.LG]In Defense of the Learning Without Forgetting for Task Incremental Learning
    Guy Oren, Lior Wolf
    http://arxiv.org/abs/2107.12304v1

    • [cs.LG]Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning
    Chandrajit Bajaj, Avik Roy, Haoran Zhang
    http://arxiv.org/abs/2107.11717v1

    • [cs.LG]Local2Global: Scaling global representation learning on graphs via local training
    Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu
    http://arxiv.org/abs/2107.12224v1

    • [cs.LG]MLDev: Data Science Experiment Automation and Reproducibility Software
    Anton Khritankov, Nikita Pershin, Nikita Ukhov, Artem Ukhov
    http://arxiv.org/abs/2107.12322v1

    • [cs.LG]Neural Circuit Synthesis from Specification Patterns
    Frederik Schmitt, Christopher Hahn, Markus N. Rabe, Bernd Finkbeiner
    http://arxiv.org/abs/2107.11864v1

    • [cs.LG]On The Impact of Client Sampling on Federated Learning Convergence
    Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
    http://arxiv.org/abs/2107.12211v1

    • [cs.LG]On the Sample Complexity of Privately Learning Axis-Aligned Rectangles
    Menachem Sadigurschi, Uri Stemmer
    http://arxiv.org/abs/2107.11526v1

    • [cs.LG]ROD: Reception-aware Online Distillation for Sparse Graphs
    Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui
    http://arxiv.org/abs/2107.11789v1

    • [cs.LG]Reinforced Imitation Learning by Free Energy Principle
    Ryoya Ogishima, Izumi Karino, Yasuo Kuniyoshi
    http://arxiv.org/abs/2107.11811v1

    • [cs.LG]SGD May Never Escape Saddle Points
    Liu Ziyin, Botao Li, Masahito Ueda
    http://arxiv.org/abs/2107.11774v1

    • [cs.LG]Self-Repairing Neural Networks: Provable Safety for Deep Networks via Dynamic Repair
    Klas Leino, Aymeric Fromherz, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina Păsăreanu
    http://arxiv.org/abs/2107.11445v1

    • [cs.LG]Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning
    Karthik Garimella, Nandan Kumar Jha, Brandon Reagen
    http://arxiv.org/abs/2107.12342v1

    • [cs.LG]Stable Dynamic Mode Decomposition Algorithm for Noisy Pressure-Sensitive Paint Measurement Data
    Yuya Ohmichi, Yosuke Sugioka, Kazuyuki Nakakita
    http://arxiv.org/abs/2107.11999v1

    • [cs.LG]Tail of Distribution GAN (TailGAN): Generative- Adversarial-Network-Based Boundary Formation
    Nikolaos Dionelis
    http://arxiv.org/abs/2107.11658v1

    • [cs.LG]The Impact of Negative Sampling on Contrastive Structured World Models
    Ondrej Biza, Elise van der Pol, Thomas Kipf
    http://arxiv.org/abs/2107.11676v1

    • [cs.LG]Thought Flow Nets: From Single Predictions to Trains of Model Thought
    Hendrik Schuff, Heike Adel, Ngoc Thang Vu
    http://arxiv.org/abs/2107.12220v1

    • [cs.LG]Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Adaptive Refined Labeling
    Liang Zeng, Lei Wang, Hui Niu, Jian Li, Ruchen Zhang, Zhonghao Dai, Dewei Zhu, Ling Wang
    http://arxiv.org/abs/2107.11972v1

    • [cs.LG]Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings
    Bahador Bahmani, WaiChing Sun
    http://arxiv.org/abs/2107.11496v1

    • [cs.LG]Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models
    Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp
    http://arxiv.org/abs/2107.12250v1

    • [cs.LG]Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images
    Katy Blumer, Subhashini Venugopalan, Michael P. Brenner, Jon Kleinberg
    http://arxiv.org/abs/2107.11468v1

    • [cs.LG]WiP Abstract : Robust Out-of-distribution Motion Detection and Localization in Autonomous CPS
    Yeli Feng, Arvind Easwaran
    http://arxiv.org/abs/2107.11736v1

    • [cs.LG]Workpiece Image-based Tool Wear Classification in Blanking Processes Using Deep Convolutional Neural Networks
    Dirk Alexander Molitor, Christian Kubik, Ruben Helmut Hetfleisch, Peter Groche
    http://arxiv.org/abs/2107.12034v1

    • [cs.NE]A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms
    Tomohiro Harada
    http://arxiv.org/abs/2107.12053v1

    • [cs.NE]A binary variant of gravitational search algorithm and its application to windfarm layout optimization problem
    Susheel Kumar Joshi, Jagdish Chand Bansal
    http://arxiv.org/abs/2107.11844v1

    • [cs.NE]H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks
    Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie
    http://arxiv.org/abs/2107.11746v1

    • [cs.NE]Towards Energy-efficient Quantized Deep SpikingNeural Networks for Hyperspectral Image Classification
    Gourav Datta, Souvik Kundu, Akhilesh R. Jaiswal, Peter A. Beerel
    http://arxiv.org/abs/2107.11979v1

    • [cs.NI]Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling
    Maojun Zhang, Guangxu Zhu, Shuai Wang, Jiamo Jiang, Caijun Zhong, Shuguang Cui
    http://arxiv.org/abs/2107.11588v1

    • [cs.RO]Adaptive Identification of Legged Robotic Kinematic Structure
    Bolun Dai
    http://arxiv.org/abs/2107.11836v1

    • [cs.RO]An Internal Arc Fixation Channel and Automatic Planning Algorithm for Pelvic Fracture
    Qing Yang, Jian Song, Chang Cheng, Chao Shi, Chendi Liang, Yu Wang
    http://arxiv.org/abs/2107.11710v1

    • [cs.RO]Autonomous Coordinated Control of the Light Guide for Positioning in Vitreoretinal Surgery
    Yuki Koyama, Murilo M. Marinho, Mamoru Mitsuishi, Kanako Harada
    http://arxiv.org/abs/2107.11985v1

    • [cs.RO]DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning
    Haoyi Niu, Jianming Hu, Zheyu Cui, Yi Zhang
    http://arxiv.org/abs/2107.11762v1

    • [cs.RO]Group-based Motion Prediction for Navigation in Crowded Environments
    Allan Wang, Christoforos Mavrogiannis, Aaron Steinfeld
    http://arxiv.org/abs/2107.11637v1

    • [cs.RO]Improving Robot Localisation by Ignoring Visual Distraction
    Oscar Mendez, Matthew Vowels, Richard Bowden
    http://arxiv.org/abs/2107.11857v1

    • [cs.RO]Integer-Programming-Based Narrow-Passage Multi-Robot Path Planning with Effective Heuristics
    Jiaxi Huo, Ronghao Zheng, Meiqin Liu, Senlin Zhang
    http://arxiv.org/abs/2107.12219v1

    • [cs.RO]Learning Risk-aware Costmaps for Traversability in Challenging Environments
    David D. Fan, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou
    http://arxiv.org/abs/2107.11722v1

    • [cs.RO]Learning from Successful and Failed Demonstrations via Optimization
    Brendan Hertel, S. Reza Ahmadzadeh
    http://arxiv.org/abs/2107.11918v1

    • [cs.RO]Multi-Start n-Dimensional Lattice Planning with Optimal Motion Primitives
    Alexander Botros, Stephen L. Smith
    http://arxiv.org/abs/2107.11467v1

    • [cs.RO]One-Leg Stance of Humanoid Robot using Active Balance Control
    Tri Duc Tran, Anh Khoa Lanh Luu, Van Tu Duong, Huy Hung Nguyen, Tan Tien Nguyen
    http://arxiv.org/abs/2107.11703v1

    • [cs.RO]Pluto: Motion Detection for Navigation in a VR Headset
    Dmitri Kovalenko, Artem Migukin, Svetlana Ryabkova, Vitaly Chernov
    http://arxiv.org/abs/2107.12030v1

    • [cs.RO]Reinforcement Learning Compensated Extended Kalman Filter for Attitude Estimation
    Yujie Tang, Liang Hu, Qingrui Zhang, Wei Pan
    http://arxiv.org/abs/2107.11777v1

    • [cs.RO]Robotic Occlusion Reasoning for Efficient Object Existence Prediction
    Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter
    http://arxiv.org/abs/2107.12095v1

    • [cs.RO]The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts
    Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump
    http://arxiv.org/abs/2107.12254v1

    • [cs.SD]Automatic Detection Of Noise Events at Shooting Range Using Machine Learning
    Jon Nordby, Fabian Nemazi, Dag Rieber
    http://arxiv.org/abs/2107.11453v1

    • [cs.SD]Beyond Voice Identity Conversion: Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations
    Laurent Benaroya, Nicolas Obin, Axel Roebel
    http://arxiv.org/abs/2107.12346v1

    • [cs.SD]Joint Direction and Proximity Classification of Overlapping Sound Events from Binaural Audio
    Daniel Aleksander Krause, Archontis Politis, Annamaria Mesaros
    http://arxiv.org/abs/2107.12033v1

    • [cs.SD]SVEva Fair: A Framework for Evaluating Fairness in Speaker Verification
    Wiebke Toussaint, Aaron Yi Ding
    http://arxiv.org/abs/2107.12049v1

    • [cs.SI]DECIFE: Detecting Collusive Users Involved in Blackmarket Following Services on Twitter
    Hridoy Sankar Dutta, Kartik Aggarwal, Tanmoy Chakraborty
    http://arxiv.org/abs/2107.11697v1

    • [cs.SI]IRLCov19: A Large COVID-19 Multilingual Twitter Dataset of Indian Regional Languages
    Deepak Uniyal, Amit Agarwal
    http://arxiv.org/abs/2107.12360v1

    • [cs.SI]Predicting Influential Higher-Order Patterns in Temporal Network Data
    Christoph Gote, Vincenzo Perri, Ingo Scholtes
    http://arxiv.org/abs/2107.12100v1

    • [cs.SI]Pressure Test: Good Stress for Company Success
    Sanja Šćepanović, Marios Constantinides, Daniele Quercia, Seunghyun Kim
    http://arxiv.org/abs/2107.12362v1

    • [cs.SI]Uncovering the structure of the French media ecosystem
    Jean-Philippe Cointet, Dominique Cardon, Andreï Mogoutov, Benjamin Ooghe-Tabanou, Guillaume Plique, Pedro Morales
    http://arxiv.org/abs/2107.12073v1

    • [econ.EM]Adaptive Estimation and Uniform Confidence Bands for Nonparametric IV
    Xiaohong Chen, Timothy Christensen, Sid Kankanala
    http://arxiv.org/abs/2107.11869v1

    • [econ.GN]Inferring Economic Condition Uncertainty from Electricity Big Data
    Zhengyu Shi, Libo Wu, Haoqi Qian, Yingjie Tian
    http://arxiv.org/abs/2107.11593v1

    • [eess.AS]A Study on Speech Enhancement Based on Diffusion Probabilistic Model
    Yen-Ju Lu, Yu Tsao, Shinji Watanabe
    http://arxiv.org/abs/2107.11876v1

    • [eess.AS]Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue Imaging
    Csaba Zainkó, László Tóth, Amin Honarmandi Shandiz, Gábor Gosztolya, Alexandra Markó, Géza Németh, Tamás Gábor Csapó
    http://arxiv.org/abs/2107.12051v1

    • [eess.IV]A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica
    Saul Calderon-Ramirez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David Elizondo, Shengxiang Yang, Miguel Molina-Cabello
    http://arxiv.org/abs/2107.11696v1

    • [eess.IV]A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation
    Heran Yang, Jian Sun, Liwei Yang, Zongben Xu
    http://arxiv.org/abs/2107.11945v1

    • [eess.IV]Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform
    Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan
    http://arxiv.org/abs/2107.11627v1

    • [eess.IV]B-line Detection in Lung Ultrasound Videos: Cartesian vs Polar Representation
    Hamideh Kerdegari, Phung Tran Huy Nhat, Angela McBride, Luigi Pisani, Reza Razavi, Louise Thwaites, Sophie Yacoub, Alberto Gomez
    http://arxiv.org/abs/2107.12291v1

    • [eess.IV]Deep Learning-based Frozen Section to FFPE Translation
    Kutsev Bengisu Ozyoruk, Sermet Can, Guliz Irem Gokceler, Kayhan Basak, Derya Demir, Gurdeniz Serin, Uguray Payam Hacisalihoglu, Berkan Darbaz, Ming Y. Lu, Tiffany Y. Chen, Drew F. K. Williamson, Funda Yilmaz, Faisal Mahmood, Mehmet Turan
    http://arxiv.org/abs/2107.11786v1

    • [eess.IV]Deep-learning-driven Reliable Single-pixel Imaging with Uncertainty Approximation
    Ruibo Shang, Mikaela A. O’Brien, Geoffrey P. Luke
    http://arxiv.org/abs/2107.11678v1

    • [eess.IV]Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation
    Wenming Cao, Philip L. H. Yu, Gilbert C. S. Lui, Keith W. H. Chiu, Ho-Ming Cheng, Yanwen Fang, Man-Fung Yuen, Wai-Kay Seto
    http://arxiv.org/abs/2107.11645v1

    • [eess.IV]Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective
    Riqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve Deppen, Kim Sandler, Pierre Massion, Thomas A. Lasko, Yuankai Huo, Bennett A. Landman
    http://arxiv.org/abs/2107.11882v1

    • [eess.IV]MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification
    Sachin Gupta, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
    http://arxiv.org/abs/2107.12321v1

    • [eess.IV]Reconstructing Images of Two Adjacent Objects through Scattering Medium Using Generative Adversarial Network
    Xuetian Lai, Qiongyao Li, Ziyang Chen, Xiaopeng Shao, Jixiong Pu
    http://arxiv.org/abs/2107.11574v1

    • [eess.IV]Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations
    Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng
    http://arxiv.org/abs/2107.12357v1

    • [eess.IV]Towards Generative Video Compression
    Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
    http://arxiv.org/abs/2107.12038v1

    • [eess.IV]Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans
    Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan
    http://arxiv.org/abs/2107.12009v1

    • [eess.SP]End-to-End Deep Learning of Long-Haul Coherent Optical Fiber Communications via Regular Perturbation Model
    Vladislav Neskorniuk, Andrea Carnio, Vinod Bajaj, Domenico Marsella, Sergei K. Turitsyn, Jaroslaw E. Prilepsky, Vahid Aref
    http://arxiv.org/abs/2107.12320v1

    • [eess.SP]Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation
    Aylin Tastan, Michael Muma, Abdelhak M. Zoubir
    http://arxiv.org/abs/2107.12070v1

    • [eess.SY]Deep Learning Explicit Differentiable Predictive Control Laws for Buildings
    Jan Drgona, Aaron Tuor, Soumya Vasisht, Elliott Skomski, Draguna Vrabie
    http://arxiv.org/abs/2107.11843v1

    • [eess.SY]Utilizing synchronization to partition power networks into microgrids
    Ricardo Cardona-Rivera, Francesco Lo Iudice, Antonio Grotta, Marco Coraggio, Mario di Bernardo
    http://arxiv.org/abs/2107.12165v1

    • [math.AT]Belief Propagation as Diffusion
    Olivier Peltre
    http://arxiv.org/abs/2107.12230v1

    • [math.NA]A Shallow Ritz Method for elliptic problems with Singular Sources
    Ming-Chih Lai, Che-Chia Chang, Wei-Syuan Lin, Wei-Fan Hu, Te-Sheng Lin
    http://arxiv.org/abs/2107.12013v1

    • [math.OC]Distributed stochastic inertial methods with delayed derivatives
    Yangyang Xu, Yibo Xu, Yonggui Yan, Jie Chen
    http://arxiv.org/abs/2107.11513v1

    • [math.OC]Efficient QUBO transformation for Higher Degree Pseudo Boolean Functions
    Amit Verma, Mark Lewis, Gary Kochenberger
    http://arxiv.org/abs/2107.11695v1

    • [math.OC]Enhanced Bilevel Optimization via Bregman Distance
    Feihu Huang, Heng Huang
    http://arxiv.org/abs/2107.12301v1

    • [math.OC]Restless Bandits with Many Arms: Beating the Central Limit Theorem
    Xiangyu Zhang, Peter I. Frazier
    http://arxiv.org/abs/2107.11911v1

    • [math.PR]Tsallis and Rényi deformations linked via a new 今日学术视野(2021.7.28) - 图6-duality
    Ting-Kam Leonard Wong, Jun Zhang
    http://arxiv.org/abs/2107.11925v1

    • [math.ST]Convergence in quadratic mean of averaged stochastic gradient algorithms without strong convexity nor bounded gradient
    Antoine Godichon-Baggioni
    http://arxiv.org/abs/2107.12058v1

    • [math.ST]Estimation of Stationary Optimal Transport Plans
    Kevin O’Connor, Kevin McGoff, Andrew B Nobel
    http://arxiv.org/abs/2107.11858v1

    • [math.ST]From robust tests to Bayes-like posterior distributions
    Yannick Baraud
    http://arxiv.org/abs/2107.12011v1

    • [math.ST]Inference for Heteroskedastic PCA with Missing Data
    Yuling Yan, Yuxin Chen, Jianqing Fan
    http://arxiv.org/abs/2107.12365v1

    • [math.ST]On the Le Cam distance between multivariate hypergeometric and multivariate normal experiments
    Frédéric Ouimet
    http://arxiv.org/abs/2107.11565v1

    • [math.ST]Plugin Estimation of Smooth Optimal Transport Maps
    Tudor Manole, Sivaraman Balakrishnan, Jonathan Niles-Weed, Larry Wasserman
    http://arxiv.org/abs/2107.12364v1

    • [q-bio.BM]Protein-RNA interaction prediction with deep learning: Structure matters
    Junkang Wei, Siyuan Chen, Licheng Zong, Xin Gao, Yu Li
    http://arxiv.org/abs/2107.12243v1

    • [q-bio.GN]Graph Representation Learning on Tissue-Specific Multi-Omics
    Amine Amor, Pietro Lio’, Vikash Singh, Ramon Viñas Torné, Helena Andres Terre
    http://arxiv.org/abs/2107.11856v1

    • [q-bio.QM]6DCNN with roto-translational convolution filters for volumetric data processing
    Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin
    http://arxiv.org/abs/2107.12078v1

    • [q-bio.QM]Identifying the fragment structure of the organic compounds by deeply learning the original NMR data
    Chongcan Li, Yong Cong, Weihua Deng
    http://arxiv.org/abs/2107.11740v1

    • [quant-ph]Stabilizer codes for Open Quantum Systems
    Francisco Revson F. Pereira, Stefano Mancini
    http://arxiv.org/abs/2107.11914v1

    • [stat.AP]A Real Time Monitoring Approach for Bivariate Event Data
    Inez Maria Zwetsloot, Tahir Mahmood, Funmilola Mary Taiwo, Zezhong Wang
    http://arxiv.org/abs/2107.11971v1

    • [stat.AP]Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London
    Shahram Heydari, Garyfallos Konstantinoudis, Abdul Wahid Behsoodi
    http://arxiv.org/abs/2107.11589v1

    • [stat.CO]A Survey of Monte Carlo Methods for Parameter Estimation
    D. Luengo, L. Martino, M. Bugallo, V. Elvira, S. Särkkä
    http://arxiv.org/abs/2107.11820v1

    • [stat.CO]Automatic tempered posterior distributions for Bayesian inversion problems
    L. Martino, F. Llorente, E. Curbelo, J. Lopez-Santiago, J. Miguez
    http://arxiv.org/abs/2107.11614v1

    • [stat.ME]A Comparison of Various Aggregation Functions in Multi-Criteria Decision Analysis for Drug Benefit-Risk Assessment
    Tom Menzies, Gaelle Saint-Hilary, Pavel Mozgunov
    http://arxiv.org/abs/2107.12298v1

    • [stat.ME]A Novel Bivariate Generalized Weibull Distribution with Properties and Applications
    Ashok Kumar Pathak, Mohd. Arshad, Qazi J. Azhad, Mukti Khetan, Arvind Pandey
    http://arxiv.org/abs/2107.11998v1

    • [stat.ME]A Robust Partial Correlation-based Screening Approach
    Xiaochao Xia
    http://arxiv.org/abs/2107.11538v1

    • [stat.ME]A principled (and practical) test for network comparison
    Gecia Bravo Hermsdorff, Lee M. Gunderson, Pierre-André Maugis, Carey E. Priebe
    http://arxiv.org/abs/2107.11403v1

    • [stat.ME]Conditional Inference for Multivariate Generalised Linear Mixed Models
    Jeanett S. Pelck, Rodrigo Labouriau
    http://arxiv.org/abs/2107.11765v1

    • [stat.ME]E-Bayesian Estimation For Some Characteristics Of Weibull Generalized Exponential Progressive Type-II Censored Samples
    Hassan Piriaeia, Omid Shojaee
    http://arxiv.org/abs/2107.12162v1

    • [stat.ME]Efficient nonparametric estimation of the covariate-adjusted threshold-response function, a support-restricted stochastic intervention
    Lars van der Laan, Wenbo Zhang, Peter B. Gilbert
    http://arxiv.org/abs/2107.11459v1

    • [stat.ME]Improved inference for vaccine-induced immune responses via shape-constrained methods
    Nilanjana Laha, Zoe Moodie, Ying Huang, Alex Luedtke
    http://arxiv.org/abs/2107.11546v1

    • [stat.ME]Max-Type and Sum-Type Procedures for Online Change-Point Detection in the Mean of High-Dimensional Data
    Jun Li
    http://arxiv.org/abs/2107.11931v1

    • [stat.ME]Multipartition model for multiple change point identification
    Ricardo C. Pedroso, Rosangela H. Loschi, Fernando Andrés Quintana
    http://arxiv.org/abs/2107.11456v1

    • [stat.ME]On matching-adjusted indirect comparison and calibration estimation
    Jixian Wang
    http://arxiv.org/abs/2107.11687v1

    • [stat.ME]Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package
    Manuele Leonelli, Ramsiya Ramanathan, Rachel L. Wilkerson
    http://arxiv.org/abs/2107.11785v1

    • [stat.ML]Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support
    Hung Tran-The, Sunil Gupta, Thanh Nguyen-Tang, Santu Rana, Svetha Venkatesh
    http://arxiv.org/abs/2107.11533v1

    • [stat.ML]Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits
    Junpei Komiyama, Edouard Fouché, Junya Honda
    http://arxiv.org/abs/2107.11419v1

    • [stat.ML]Inference of collective Gaussian hidden Markov models
    Rahul Singh, Yongxin Chen
    http://arxiv.org/abs/2107.11662v1

    • [stat.ML]State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics
    Quentin Malartic, Alban Farchi, Marc Bocquet
    http://arxiv.org/abs/2107.11253v2