astro-ph.EP - 地球与行星天体
    cond-mat.mtrl-sci - 材料科学
    cs.AI - 人工智能
    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.DC - 分布式、并行与集群计算
    cs.ET - 新兴技术
    cs.GR - 计算机图形学
    cs.GT - 计算机科学与博弈论
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.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.SC - 符号计算
    cs.SD - 声音处理
    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
    math.NA - 数值分析
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.flu-dyn - 流体动力学
    physics.soc-ph - 物理学与社会
    q-bio.PE - 人口与发展
    q-bio.QM - 定量方法
    q-fin.MF - 数学金融
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.EP]Postulating Exoplanetary Habitability via a Novel Anomaly Detection Method
    • [cond-mat.mtrl-sci]Data-Driven Learning of 3-Point Correlation Functions as Microstructure Representations
    • [cs.AI]An Exploration of Deep Learning Methods in Hungry Geese
    • [cs.AI]Automata for dynamic answer set solving: Preliminary report
    • [cs.AI]Effective user intent mining with unsupervised word representation models and topic modelling
    • [cs.AI]Fairness via AI: Bias Reduction in Medical Information
    • [cs.AI]GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
    • [cs.AI]Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis
    • [cs.AI]Learning with Holographic Reduced Representations
    • [cs.AI]Method for making multi-attribute decisions in wargames by combining intuitionistic fuzzy numbers with reinforcement learning
    • [cs.AI]Modular Framework for Visuomotor Language Grounding
    • [cs.AI]Multi-modal Program Inference: a Marriage of Pre-trainedLanguage Models and Component-based Synthesis
    • [cs.AI]Towards API Testing Across Cloud and Edge
    • [cs.AI]ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles
    • [cs.AI]Will bots take over the supply chain? Revisiting Agent-based supply chain automation
    • [cs.CL]A Neural Network-Based Linguistic Similarity Measure for Entrainment in Conversations
    • [cs.CL]ALLWAS: Active Learning on Language models in WASserstein space
    • [cs.CL]BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks
    • [cs.CL]Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identification
    • [cs.CL]Counterfactual Evaluation for Explainable AI
    • [cs.CL]Data Augmentation for Cross-Domain Named Entity Recognition
    • [cs.CL]Data Efficient Masked Language Modeling for Vision and Language
    • [cs.CL]Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the Oven
    • [cs.CL]DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization
    • [cs.CL]Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack
    • [cs.CL]Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement
    • [cs.CL]Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction
    • [cs.CL]End-to-End Self-Debiasing Framework for Robust NLU Training
    • [cs.CL]Enhancing Language Models with Plug-and-Play Large-Scale Commonsense
    • [cs.CL]Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser
    • [cs.CL]Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models
    • [cs.CL]Exposing Length Divergence Bias of Textual Matching Models
    • [cs.CL]FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models
    • [cs.CL]Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization
    • [cs.CL]From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment
    • [cs.CL]Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
    • [cs.CL]GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain
    • [cs.CL]General-Purpose Question-Answering with Macaw
    • [cs.CL]Hocalarim: Mining Turkish Student Reviews
    • [cs.CL]Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text
    • [cs.CL]Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction
    • [cs.CL]Knowledge Graph Enhanced Event Extraction in Financial Documents
    • [cs.CL]Learning Hierarchical Structures with Differentiable Nondeterministic Stacks
    • [cs.CL]LightTag: Text Annotation Platform
    • [cs.CL]Multi-task Balanced and Recalibrated Network for Medical Code Prediction
    • [cs.CL]Nearest Neighbour Few-Shot Learning for Cross-lingual Classification
    • [cs.CL]On the ability of monolingual models to learn language-agnostic representations
    • [cs.CL]PermuteFormer: Efficient Relative Position Encoding for Long Sequences
    • [cs.CL]Proto: A Neural Cocktail for Generating Appealing Conversations
    • [cs.CL]Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach
    • [cs.CL]Re-entry Prediction for Online Conversations via Self-Supervised Learning
    • [cs.CL]STaCK: Sentence Ordering with Temporal Commonsense Knowledge
    • [cs.CL]Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
    • [cs.CL]Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations
    • [cs.CL]SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks
    • [cs.CL]Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic
    • [cs.CL]Teaching Autoregressive Language Models Complex Tasks By Demonstration
    • [cs.CL]Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark
    • [cs.CL]Transformer Models for Text Coherence Assessment
    • [cs.CL]Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training
    • [cs.CL]Uncovering the Limits of Text-based Emotion Detection
    • [cs.CL]Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization
    • [cs.CL]You should evaluate your language model on marginal likelihood overtokenisations
    • [cs.CR]A Transformer-based Model to Detect Phishing URLs
    • [cs.CR]Detection of Insider Threats using Artificial Intelligence and Visualisation
    • [cs.CR]Insider Detection using Deep Autoencoder and Variational Autoencoder Neural Networks
    • [cs.CR]Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT
    • [cs.CR]Post-Quantum VRF and its Applications in Future-Proof Blockchain System
    • [cs.CR]Privacy of synthetic data: a statistical framework
    • [cs.CR]SEC4SR: A Security Analysis Platform for Speaker Recognition
    • [cs.CR]Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning
    • [cs.CR]UC Modelling and Security Analysis of the Estonian IVXV Internet Voting System
    • [cs.CV]3D Human Texture Estimation from a Single Image with Transformers
    • [cs.CV]A Comprehensive Approach for UAV Small Object Detection with Simulation-based Transfer Learning and Adaptive Fusion
    • [cs.CV]A realistic approach to generate masked faces applied on two novel masked face recognition data sets
    • [cs.CV]Audio-Visual Transformer Based Crowd Counting
    • [cs.CV]Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation
    • [cs.CV]CTRL-C: Camera calibration TRansformer with Line-Classification
    • [cs.CV]Class Semantics-based Attention for Action Detection
    • [cs.CV]Comparing the Machine Readability of Traffic Sign Pictograms in Austria and Germany
    • [cs.CV]Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesis
    • [cs.CV]Deep Saliency Prior for Reducing Visual Distraction
    • [cs.CV]Does Melania Trump have a body double from the perspective of automatic face recognition?
    • [cs.CV]Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation
    • [cs.CV]ERA: Entity Relationship Aware Video Summarization with Wasserstein GAN
    • [cs.CV]Efficient Action Recognition Using Confidence Distillation
    • [cs.CV]Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation
    • [cs.CV]Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing
    • [cs.CV]F3S: Free Flow Fever Screening
    • [cs.CV]Fast Image-Anomaly Mitigation for Autonomous Mobile Robots
    • [cs.CV]From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation
    • [cs.CV]Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution
    • [cs.CV]GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization
    • [cs.CV]GOHOME: Graph-Oriented Heatmap Output forfuture Motion Estimation
    • [cs.CV]GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph
    • [cs.CV]Hierarchical Object-to-Zone Graph for Object Navigation
    • [cs.CV]ISyNet: Convolutional Neural Networks design for AI accelerator
    • [cs.CV]Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking
    • [cs.CV]Image In painting Applied to Art Completing Escher’s Print Gallery
    • [cs.CV]Image recognition via Vietoris-Rips complex
    • [cs.CV]Improved RAMEN: Towards Domain Generalization for Visual Question Answering
    • [cs.CV]Information Theory-Guided Heuristic Progressive Multi-View Coding
    • [cs.CV]Learning Fine-Grained Motion Embedding for Landscape Animation
    • [cs.CV]Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering
    • [cs.CV]Learning to Generate Scene Graph from Natural Language Supervision
    • [cs.CV]Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification
    • [cs.CV]Moving Object Detection for Event-based Vision using k-means Clustering
    • [cs.CV]Navigating the Mise-en-Page: Interpretive Machine Learning Approaches to the Visual Layouts of Multi-Ethnic Periodicals
    • [cs.CV]On robustness of generative representations against catastrophic forgetting
    • [cs.CV]PR-Net: Preference Reasoning for Personalized Video Highlight Detection
    • [cs.CV]Parsing Table Structures in the Wild
    • [cs.CV]Point-Based Neural Rendering with Per-View Optimization
    • [cs.CV]Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection
    • [cs.CV]Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical
    • [cs.CV]RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions
    • [cs.CV]Robust Attentive Deep Neural Network for Exposing GAN-generated Faces
    • [cs.CV]Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information
    • [cs.CV]Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation
    • [cs.CV]Robust fine-tuning of zero-shot models
    • [cs.CV]Seam Carving Detection and Localization using Two-Stage Deep Neural Networks
    • [cs.CV]Self-supervised Product Quantization for Deep Unsupervised Image Retrieval
    • [cs.CV]Sparse Spatial Attention Network for Semantic Segmentation
    • [cs.CV]Spatial Domain Feature Extraction Methods for Unconstrained Handwritten Malayalam Character Recognition
    • [cs.CV]Spatiotemporal Inconsistency Learning for DeepFake Video Detection
    • [cs.CV]Square Root Marginalization for Sliding-Window Bundle Adjustment
    • [cs.CV]Stimuli-Aware Visual Emotion Analysis
    • [cs.CV]Stochastic Neural Radiance Fields:Quantifying Uncertainty in Implicit 3D Representations
    • [cs.CV]Tensor Normalization and Full Distribution Training
    • [cs.CV]The Animation Transformer: Visual Correspondence via Segment Matching
    • [cs.CV]To be Critical: Self-Calibrated Weakly Supervised Learning for Salient Object Detection
    • [cs.CV]Toward Realistic Single-View 3D Object Reconstructionwith Unsupervised Learning from Multiple Images
    • [cs.CV]Underwater 3D Reconstruction Using Light Fields
    • [cs.CV]Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness
    • [cs.CV]Visual Recognition with Deep Learning from Biased Image Datasets
    • [cs.CV]Voxel Transformer for 3D Object Detection
    • [cs.CV]Weakly Supervised Relative Spatial Reasoning for Visual Question Answering
    • [cs.CY]Examining the tech stacks of Czech and Slovak untrustworthy websites
    • [cs.CY]Multi-layer network approach in modeling epidemics in an urban town
    • [cs.CY]Teachers Without Borders
    • [cs.DC]A Survey on Resilience in the IoT: Taxonomy, Classification and Discussion of Resilience Mechanisms
    • [cs.DC]Assessing the Use Cases of Persistent Memory in High-Performance Scientific Computing
    • [cs.DC]Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters
    • [cs.DC]Comparative Analysis for Quick Sort Algorithm under four Different Modes of Execution
    • [cs.DC]Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing
    • [cs.DC]RAMA: A Rapid Multicut Algorithm on GPU
    • [cs.ET]A review of Quantum Neural Networks: Methods, Models, Dilemma
    • [cs.GR]CodeNeRF: Disentangled Neural Radiance Fields for Object Categories
    • [cs.GT]On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games
    • [cs.HC]Explaining Autonomous Decisions in Swarms of Human-on-the-Loop Small Unmanned Aerial Systems
    • [cs.HC]Sensor Data Augmentation with Resampling for Contrastive Learning in Human Activity Recognition
    • [cs.IR]Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation
    • [cs.IR]Job Posting-Enriched Knowledge Graph for Skills-based Matching
    • [cs.IR]Recommending Researchers in Machine Learning based on Author-Topic Model
    • [cs.IR]Representation Learning for Efficient and Effective Similarity Search and Recommendation
    • [cs.IR]Towards Retrieval-based Conversational Recommendation
    • [cs.IT]A Delicately Restricted Channel and Decoding of Maximum Rank Distance Codes
    • [cs.IT]A Survey on IoT Smart Healthcare: Emerging Technologies, Applications, Challenges, and Future Trends
    • [cs.IT]Bit Density Based Signal and Jamming Detection in 1-Bit Quantized MIMO Systems
    • [cs.IT]Decoding Reed-Muller Codes with Successive Factor-Graph Permutations
    • [cs.IT]Iterative Threshold Decoding of Spatially Coupled, Parallel-Concatenated Codes
    • [cs.IT]Jammer Mitigation via Beam-Slicing for Low-Resolution mmWave Massive MU-MIMO
    • [cs.IT]Learning to Perform Downlink Channel Estimation in Massive MIMO Systems
    • [cs.IT]Linear complexity over 今日学术视野(2021.9.8) - 图1 and 2-adic complexity of a class of binary generalized cyclotomic sequences with low-value autocorrelation
    • [cs.IT]Low SNR Capacity of Keyhole MIMO Channel in Nakagami-m Fading With Full CSI
    • [cs.IT]Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning
    • [cs.IT]Robust Congestion Control for Demand-Based Optimization in Precoded Multi-Beam High Throughput Satellite Communications
    • [cs.IT]Universal Joint Source-Channel Coding Under an Input Energy Constraint
    • [cs.LG]Active Learning for Automated Visual Inspection of Manufactured Products
    • [cs.LG]An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction
    • [cs.LG]Assessing the Knowledge State of Online Students — New Data, New Approaches, Improved Accuracy
    • [cs.LG]Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting
    • [cs.LG]Automated Robustness with Adversarial Training as a Post-Processing Step
    • [cs.LG]Automatic Online Multi-Source Domain Adaptation
    • [cs.LG]Backdoor Attack and Defense for Deep Regression
    • [cs.LG]Barycenteric distribution alignment and manifold-restricted invertibility for domain generalization
    • [cs.LG]Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data
    • [cs.LG]Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss
    • [cs.LG]Customer 360-degree Insights in Predicting Chronic Diabetes
    • [cs.LG]Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning
    • [cs.LG]Delving into Macro Placement with Reinforcement Learning
    • [cs.LG]Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms
    • [cs.LG]Error Controlled Actor-Critic
    • [cs.LG]EsmamDS: A more diverse exceptional survival model mining approach
    • [cs.LG]Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS
    • [cs.LG]Estimating the probabilities of causation via deep monotonic twin networks
    • [cs.LG]Fair Federated Learning for Heterogeneous Face Data
    • [cs.LG]Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation
    • [cs.LG]Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
    • [cs.LG]Generation of Synthetic Electronic Health Records Using a Federated GAN
    • [cs.LG]Global-Local Item Embedding for Temporal Set Prediction
    • [cs.LG]Going Beyond Neural Architecture Search with Sampling-based Neural Ensemble Search
    • [cs.LG]Gradient Normalization for Generative Adversarial Networks
    • [cs.LG]Guiding Global Placement With Reinforcement Learning
    • [cs.LG]Hindsight Reward Tweaking via Conditional Deep Reinforcement Learning
    • [cs.LG]Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment
    • [cs.LG]Inferring feature importance with uncertainties in high-dimensional data
    • [cs.LG]Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models
    • [cs.LG]MLCTR: A Fast Scalable Coupled Tensor Completion Based on Multi-Layer Non-Linear Matrix Factorization
    • [cs.LG]NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
    • [cs.LG]Node Feature Kernels Increase Graph Convolutional Network Robustness
    • [cs.LG]Nonparametric Extrema Analysis in Time Series for Envelope Extraction, Peak Detection and Clustering
    • [cs.LG]On Second-order Optimization Methods for Federated Learning
    • [cs.LG]Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning
    • [cs.LG]Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data
    • [cs.LG]Scikit-dimension: a Python package for intrinsic dimension estimation
    • [cs.LG]Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments
    • [cs.LG]Sparse-MLP: A Fully-MLP Architecture with Conditional Computation
    • [cs.LG]Statistical Privacy Guarantees of Machine Learning Preprocessing Techniques
    • [cs.LG]Structural Optimization Makes Graph Classification Simpler and Better
    • [cs.LG]Supervised DKRC with Images for Offline System Identification
    • [cs.LG]Temporal Aware Deep Reinforcement Learning
    • [cs.LG]Thompson Sampling for Bandits with Clustered Arms
    • [cs.LG]Training Graph Neural Networks by Graphon Estimation
    • [cs.LG]Training Meta-Surrogate Model for Transferable Adversarial Attack
    • [cs.LG]Urban Fire Station Location Planning: A Systematic Approach using Predicted Demand and Service Quality Index
    • [cs.LG]VARGAN: Variance Enforcing Network Enhanced GAN
    • [cs.NE]Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning
    • [cs.NI]Parsimonious Edge Computing to Reduce Microservice Resource Usage
    • [cs.RO]A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight
    • [cs.RO]Autonomous tissue retraction with a biomechanically informed logic based framework
    • [cs.RO]Communicating Inferred Goals with Passive Augmented Reality and Active Haptic Feedback
    • [cs.RO]Crowd-Aware Robot Navigation for Pedestrians with Multiple Collision Avoidance Strategies via Map-based Deep Reinforcement Learning
    • [cs.RO]Learning-Based Strategy Design for Robot-Assisted Reminiscence Therapy Based on a Developed Model for People with Dementia
    • [cs.RO]Multi-Agent Variational Occlusion Inference Using People as Sensors
    • [cs.RO]Navigational Path-Planning For All-Terrain Autonomous Agricultural Robot
    • [cs.RO]Predicting Performance of SLAM Algorithms
    • [cs.RO]Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery
    • [cs.RO]Shaping Individualized Impedance Landscapes for Gait Training via Reinforcement Learning
    • [cs.RO]Socially-Aware Multi-Agent Following with 2D Laser Scans via Deep Reinforcement Learning and Potential Field
    • [cs.RO]Surgery Scene Restoration for Robot Assisted Minimally Invasive Surgery
    • [cs.RO]Task-Level Authoring for Remote Robot Teleoperation
    • [cs.SC]Proceedings of the 9th International Symposium on Symbolic Computation in Software Science
    • [cs.SD]A Two-stage Complex Network using Cycle-consistent Generative Adversarial Networks for Speech Enhancement
    • [cs.SD]Efficient Attention Branch Network with Combined Loss Function for Automatic Speaker Verification Spoof Detection
    • [cs.SD]The Phonexia VoxCeleb Speaker Recognition Challenge 2021 System Description
    • [cs.SD]Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks
    • cs.SIalignment Between Stance Expressed in Social Media Data and Public Opinion Surveys
    • [cs.SI]Click-Through Rate Prediction with Multi-Modal Hypergraphs
    • [cs.SI]Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model
    • [cs.SI]Influence of NaMo App on Twitter
    • [cs.SI]MONITOR: A Multimodal Fusion Framework to Assess Message Veracity in Social Networks
    • [cs.SI]Online Learning of Independent Cascade Models with Node-level Feedback
    • [cs.SI]Providing an Approach to Predicting Customer Quality in E-Commerce Social Networks Based on Big Data and Unsupervised Learning Method
    • [cs.SI]Social Network Analysis of the Professional Community Interaction — Movie Industry Case
    • [cs.SI]TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories
    • eess.IVSLAe-Net: Multi-Scale Multi-Level Attention embedded Network for Retinal Vessel Segmentation
    • [eess.IV]A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation
    • [eess.IV]A Privacy-Preserving Image Retrieval Scheme Using A Codebook Generated From Independent Plain-Image Dataset
    • [eess.IV]Automated Cardiac Resting Phase Detection Targeted on the Right Coronary Artery
    • [eess.IV]Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review
    • [eess.IV]Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging
    • [eess.IV]Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays
    • [eess.IV]Image Compression with Recurrent Neural Network and Generalized Divisive Normalization
    • [eess.IV]OCTAVA: an open-source toolbox for quantitative analysis of optical coherence tomography angiography images
    • [eess.IV]Predicting isocitrate dehydrogenase mutationstatus in glioma using structural brain networksand graph neural networks
    • [eess.IV]Recognition of COVID-19 Disease Utilizing X-Ray Imaging of the Chest Using CNN
    • [eess.IV]Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition
    • [eess.IV]Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke
    • [eess.SP]Adaptive Turbo Equalization for Nonlinearity Compensation in WDM Systems
    • [eess.SP]Estimating Leaf Water Content using Remotely Sensed Hyperspectral Data
    • [eess.SP]FBCNN: A Deep Neural Network Architecture for Portable and Fast Brain-Computer Interfaces
    • [eess.SP]Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification
    • [math.NA]Modelling Arbitrary Complex Dielectric Properties — an automated implementation for gprMax
    • [math.NA]Variational Physics Informed Neural Networks: the role of quadratures and test functions
    • [math.OC]On Faster Convergence of Scaled Sign Gradient Descent
    • [math.OC]Optimal Prediction of Unmeasured Output from Measurable Outputs In LTI Systems
    • [math.OC]Stochastic Subgradient Descent on a Generic Definable Function Converges to a Minimizer
    • [math.PR]On the dependence between a Wiener process and its running maxima and running minima processes
    • [math.ST]Bounding Means of Discrete Distributions
    • [math.ST]Estimation of cluster functionals for regularly varying time series: runs estimators
    • [math.ST]James-Stein estimation of the first principal component
    • [math.ST]On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
    • [math.ST]Rerandomization with Diminishing Covariate Imbalance and Diverging Number of Covariates
    • [math.ST]Stability for layer points
    • [physics.flu-dyn]Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils
    • [physics.soc-ph]Model retraining and information sharing in a supply chain with long-term fluctuating demands
    • [q-bio.PE]Estimating the course of the COVID-19 pandemic in Germany via spline-based hierarchical modelling of death counts
    • [q-bio.QM]Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study
    • [q-fin.MF]An axiomatization of 今日学术视野(2021.9.8) - 图2-quantiles
    • [stat.AP]Binomial confidence intervals for rare events: importance of defining margin of error relative to magnitude of proportion
    • [stat.AP]Climate-Related Disasters and the Death Toll
    • [stat.AP]Modeling the Evolution of Infectious Diseases with Functional Data Models: The Case of COVID-19 in Brazil
    • [stat.AP]Statistical computation methods for microbiome compositional data network inference
    • [stat.ME]A Bayesian semi-parametric approach for modeling memory decay in dynamic social networks
    • [stat.ME]A Q-Q plot aids interpretation of the False Discovery Rate
    • [stat.ME]A Unified Approach to Hypothesis Testing for Functional Linear Models
    • [stat.ME]Bayesian Estimation of the Degrees of Freedom Parameter of the Student-今日学术视野(2021.9.8) - 图3 Distribution—-A Beneficial Re-parameterization
    • [stat.ME]Confidence Distribution and Distribution Estimation for Modern Statistical Inference
    • [stat.ME]Distributional Representation of Longitudinal Data: Visualization, Regression and Prediction
    • [stat.ME]Efficient Learning of Optimal Individualized Treatment Rules for Heteroscedastic or Misspecified Treatment-Free Effect Models
    • [stat.ME]Estimation of individual causal effects in observational longitudinal studies
    • [stat.ME]Functional additive regression on shape and form manifolds of planar curves
    • [stat.ME]Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding
    • [stat.ME]Making drawings speak through mathematical metrics
    • [stat.ME]On the extreme eigenvalues of the inverse Toeplitz matrix of the nonstationary autoregressive process and its applications to outlier estimation of panel time series
    • [stat.ME]One-sample log-rank tests with consideration of reference curve sampling variability
    • [stat.ME]Optimal transport weights for causal inference
    • [stat.ME]Robust Narrowest Significance Pursuit: inference for multiple change-points in the median
    • [stat.ME]Semiparametric Estimation of Treatment Effects in Randomized Experiments
    • [stat.ME]Stochastic frailty models for modeling and forecasting mortality
    • [stat.ME]Unbiased Estimation of the Hessian for Partially Observed Diffusions
    • [stat.ME]Using Proxies to Improve Forecast Evaluation
    • [stat.ML]A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
    • [stat.ML]Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows
    • [stat.ML]Learning Neural Causal Models with Active Interventions
    • [stat.ML]Non-Euclidean Analysis of Joint Variations in Multi-Object Shapes
    • [stat.ML]Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning
    • [stat.ML]Scalable Feature Selection for (Multitask) Gradient Boosted Trees

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

    • [astro-ph.EP]Postulating Exoplanetary Habitability via a Novel Anomaly Detection Method
    Jyotirmoy Sarkar, Kartik Bhatia, Snehanshu Saha, Margarita Safonova, Santonu Sarkar
    http://arxiv.org/abs/2109.02273v1

    • [cond-mat.mtrl-sci]Data-Driven Learning of 3-Point Correlation Functions as Microstructure Representations
    Sheng Cheng, Yang Jiao, Yi Ren
    http://arxiv.org/abs/2109.02255v1

    • [cs.AI]An Exploration of Deep Learning Methods in Hungry Geese
    Nikzad Khani, Matthew Kluska
    http://arxiv.org/abs/2109.01954v1

    • [cs.AI]Automata for dynamic answer set solving: Preliminary report
    Pedro Cabalar, Martín Diéguez, Susana Hahn, Torsten Schaub
    http://arxiv.org/abs/2109.01782v1

    • [cs.AI]Effective user intent mining with unsupervised word representation models and topic modelling
    Bencheng Wei
    http://arxiv.org/abs/2109.01765v1

    • [cs.AI]Fairness via AI: Bias Reduction in Medical Information
    Shiri Dori-Hacohen, Roberto Montenegro, Fabricio Murai, Scott A. Hale, Keen Sung, Michela Blain, Jennifer Edwards-Johnson
    http://arxiv.org/abs/2109.02202v1

    • [cs.AI]GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
    Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui
    http://arxiv.org/abs/2109.02053v1

    • [cs.AI]Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis
    Sijie Mai, Ying Zeng, Shuangjia Zheng, Haifeng Hu
    http://arxiv.org/abs/2109.01797v1

    • [cs.AI]Learning with Holographic Reduced Representations
    Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean
    http://arxiv.org/abs/2109.02157v1

    • [cs.AI]Method for making multi-attribute decisions in wargames by combining intuitionistic fuzzy numbers with reinforcement learning
    Yuxiang Sun, Bo Yuan, Yufan Xue, Jiawei Zhou, Xiaoyu Zhang, Xianzhong Zhou
    http://arxiv.org/abs/2109.02354v1

    • [cs.AI]Modular Framework for Visuomotor Language Grounding
    Kolby Nottingham, Litian Liang, Daeyun Shin, Charless C. Fowlkes, Roy Fox, Sameer Singh
    http://arxiv.org/abs/2109.02161v1

    • [cs.AI]Multi-modal Program Inference: a Marriage of Pre-trainedLanguage Models and Component-based Synthesis
    Kia Rahmani, Mohammad Raza, Mohammad Raza, Vu Le, Daniel Morris, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari
    http://arxiv.org/abs/2109.02445v1

    • [cs.AI]Towards API Testing Across Cloud and Edge
    Samuel Ackerman, Sanjib Choudhury, Nirmit Desai, Eitan Farchi, Dan Gisolfi, Andrew Hicks, Saritha Route, Diptikalyan Saha
    http://arxiv.org/abs/2109.02540v1

    • [cs.AI]ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles
    Andrea Piazzoni, Jim Cherian, Mohamed Azhar, Jing Yew Yap, James Lee Wei Shung, Roshan Vijay
    http://arxiv.org/abs/2109.02529v1

    • [cs.AI]Will bots take over the supply chain? Revisiting Agent-based supply chain automation
    Liming Xu, Stephen Mak, Alexandra Brintrup
    http://arxiv.org/abs/2109.01703v1

    • [cs.CL]A Neural Network-Based Linguistic Similarity Measure for Entrainment in Conversations
    Mingzhi Yu, Diane Litman, Shuang Ma, Jian Wu
    http://arxiv.org/abs/2109.01924v1

    • [cs.CL]ALLWAS: Active Learning on Language models in WASserstein space
    Anson Bastos, Manohar Kaul
    http://arxiv.org/abs/2109.01691v1

    • [cs.CL]BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks
    Tuan Lai, Heng Ji, ChengXiang Zhai
    http://arxiv.org/abs/2109.02237v1

    • [cs.CL]Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identification
    Harsh Sakhrani, Saloni Parekh, Pratik Ratadiya
    http://arxiv.org/abs/2109.01560v2

    • [cs.CL]Counterfactual Evaluation for Explainable AI
    Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang
    http://arxiv.org/abs/2109.01962v1

    • [cs.CL]Data Augmentation for Cross-Domain Named Entity Recognition
    Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio
    http://arxiv.org/abs/2109.01758v1

    • [cs.CL]Data Efficient Masked Language Modeling for Vision and Language
    Yonatan Bitton, Gabriel Stanovsky, Michael Elhadad, Roy Schwartz
    http://arxiv.org/abs/2109.02040v1

    • [cs.CL]Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the Oven
    Niclas Hildebrandt, Benedikt Boenninghoff, Dennis Orth, Christopher Schymura
    http://arxiv.org/abs/2109.02383v1

    • [cs.CL]DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization
    Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
    http://arxiv.org/abs/2109.02492v1

    • [cs.CL]Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack
    Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang
    http://arxiv.org/abs/2109.02229v1

    • [cs.CL]Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement
    Mengting Hu, Honglei Guo, Shiwan Zhao, Hang Gao, Zhong Su
    http://arxiv.org/abs/2109.02457v1

    • [cs.CL]Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction
    Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
    http://arxiv.org/abs/2109.02403v1

    • [cs.CL]End-to-End Self-Debiasing Framework for Robust NLU Training
    Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, Ahmad Rashid
    http://arxiv.org/abs/2109.02071v1

    • [cs.CL]Enhancing Language Models with Plug-and-Play Large-Scale Commonsense
    Wanyun Cui, Xingran Chen
    http://arxiv.org/abs/2109.02572v1

    • [cs.CL]Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser
    Duo Zheng, Zipeng Xu, Fandong Meng, Xiaojie Wang, Jiaan Wang, Jie Zhou
    http://arxiv.org/abs/2109.02297v1

    • [cs.CL]Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models
    Rakesh Chada, Pradeep Natarajan, Darshan Fofadiya, Prathap Ramachandra
    http://arxiv.org/abs/2109.01754v1

    • [cs.CL]Exposing Length Divergence Bias of Textual Matching Models
    Lan Jiang, Tianshu Lyu, Chong Meng, Xiaoyong Lyu, Dawei Yin
    http://arxiv.org/abs/2109.02431v1

    • [cs.CL]FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models
    Rakesh Chada, Pradeep Natarajan
    http://arxiv.org/abs/2109.01951v1

    • [cs.CL]Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization
    Inbar Oren, Jonathan Herzig, Jonathan Berant
    http://arxiv.org/abs/2109.02575v1

    • [cs.CL]From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment
    Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan
    http://arxiv.org/abs/2109.02363v1

    • [cs.CL]Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
    Atsuki Yamaguchi, George Chrysostomou, Katerina Margatina, Nikolaos Aletras
    http://arxiv.org/abs/2109.01819v1

    • [cs.CL]GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain
    Milad Moradi, Kathrin Blagec, Florian Haberl, Matthias Samwald
    http://arxiv.org/abs/2109.02555v1

    • [cs.CL]General-Purpose Question-Answering with Macaw
    Oyvind Tafjord, Peter Clark
    http://arxiv.org/abs/2109.02593v1

    • [cs.CL]Hocalarim: Mining Turkish Student Reviews
    Ibrahim Faruk Ceylan, Necmettin Bera Calik, Mert Yapucuoglu, Ahmet Yavuz Uluslu
    http://arxiv.org/abs/2109.02325v1

    • [cs.CL]Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text
    Xiao-Yu Guo, Yuan-Fang Li, Gholamreza Haffari
    http://arxiv.org/abs/2109.02289v1

    • [cs.CL]Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction
    Kailong Hao, Botao Yu, Wei Hu
    http://arxiv.org/abs/2109.02099v1

    • [cs.CL]Knowledge Graph Enhanced Event Extraction in Financial Documents
    Kaihao Guo, Tianpei Jiang, Haipeng Zhang
    http://arxiv.org/abs/2109.02592v1

    • [cs.CL]Learning Hierarchical Structures with Differentiable Nondeterministic Stacks
    Brian DuSell, David Chiang
    http://arxiv.org/abs/2109.01982v1

    • [cs.CL]LightTag: Text Annotation Platform
    Tal Perry
    http://arxiv.org/abs/2109.02320v1

    • [cs.CL]Multi-task Balanced and Recalibrated Network for Medical Code Prediction
    Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen
    http://arxiv.org/abs/2109.02418v1

    • [cs.CL]Nearest Neighbour Few-Shot Learning for Cross-lingual Classification
    M Saiful Bari, Batool Haider, Saab Mansour
    http://arxiv.org/abs/2109.02221v1

    • [cs.CL]On the ability of monolingual models to learn language-agnostic representations
    Leandro Rodrigues de Souza, Rodrigo Nogueira, Roberto Lotufo
    http://arxiv.org/abs/2109.01942v1

    • [cs.CL]PermuteFormer: Efficient Relative Position Encoding for Long Sequences
    Peng Chen
    http://arxiv.org/abs/2109.02377v1

    • [cs.CL]Proto: A Neural Cocktail for Generating Appealing Conversations
    Sougata Saha, Souvik Das, Elizabeth Soper, Erin Pacquetet, Rohini K. Srihari
    http://arxiv.org/abs/2109.02513v1

    • [cs.CL]Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach
    Zhe Lin, Xiaojun Wan
    http://arxiv.org/abs/2109.01862v1

    • [cs.CL]Re-entry Prediction for Online Conversations via Self-Supervised Learning
    Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang
    http://arxiv.org/abs/2109.02020v1

    • [cs.CL]STaCK: Sentence Ordering with Temporal Commonsense Knowledge
    Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria
    http://arxiv.org/abs/2109.02247v1

    • [cs.CL]Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
    Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo
    http://arxiv.org/abs/2109.01935v1

    • [cs.CL]Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations
    Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Florence T. Bourgeois, Adam G. Dunn
    http://arxiv.org/abs/2109.02254v1

    • [cs.CL]SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks
    Wanyu Du, Yangfeng Ji
    http://arxiv.org/abs/2109.01958v1

    • [cs.CL]Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic
    Wenjia Zhang, Lin Gui, Yulan He
    http://arxiv.org/abs/2109.01850v1

    • [cs.CL]Teaching Autoregressive Language Models Complex Tasks By Demonstration
    Gabriel Recchia
    http://arxiv.org/abs/2109.02102v1

    • [cs.CL]Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark
    Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou
    http://arxiv.org/abs/2109.01839v1

    • [cs.CL]Transformer Models for Text Coherence Assessment
    Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma
    http://arxiv.org/abs/2109.02176v1

    • [cs.CL]Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training
    Minghao Wu, Yitong Li, Meng Zhang, Liangyou Li, Gholamreza Haffari, Qun Liu
    http://arxiv.org/abs/2109.02284v1

    • [cs.CL]Uncovering the Limits of Text-based Emotion Detection
    Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, Vicenç Gómez
    http://arxiv.org/abs/2109.01900v1

    • [cs.CL]Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization
    Tiezheng Yu, Wenliang Dai, Zihan Liu, Pascale Fung
    http://arxiv.org/abs/2109.02401v1

    • [cs.CL]You should evaluate your language model on marginal likelihood overtokenisations
    Kris Cao, Laura Rimell
    http://arxiv.org/abs/2109.02550v1

    • [cs.CR]A Transformer-based Model to Detect Phishing URLs
    Pingfan Xu
    http://arxiv.org/abs/2109.02138v1

    • [cs.CR]Detection of Insider Threats using Artificial Intelligence and Visualisation
    Vasileios Koutsouvelis, Stavros Shiaeles, Bogdan Ghita, Gueltoum Bendiab
    http://arxiv.org/abs/2109.02417v1

    • [cs.CR]Insider Detection using Deep Autoencoder and Variational Autoencoder Neural Networks
    Efthimios Pantelidis, Gueltoum Bendiab, Stavros Shiaeles, Nicholas Kolokotronis
    http://arxiv.org/abs/2109.02568v1

    • [cs.CR]Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT
    Joseph Rose, Matthew Swann, Gueltoum Bendiab, Stavros Shiaeles, Nicholas Kolokotronis
    http://arxiv.org/abs/2109.02544v1

    • [cs.CR]Post-Quantum VRF and its Applications in Future-Proof Blockchain System
    Zengpeng Li, Teik Guan Tan, Pawel Szalachowski, Vishal Sharma, Jianying Zhou
    http://arxiv.org/abs/2109.02012v1

    • [cs.CR]Privacy of synthetic data: a statistical framework
    March Boedihardjo, Thomas Strohmer, Roman Vershynin
    http://arxiv.org/abs/2109.01748v1

    • [cs.CR]SEC4SR: A Security Analysis Platform for Speaker Recognition
    Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, Yang Liu
    http://arxiv.org/abs/2109.01766v1

    • [cs.CR]Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning
    Yusen Wu, Hao Chen, Xin Wang, Chao Liu, Phuong Nguyen, Yelena Yesha
    http://arxiv.org/abs/2109.02018v1

    • [cs.CR]UC Modelling and Security Analysis of the Estonian IVXV Internet Voting System
    Bingsheng Zhang, Zengpeng Li, Jan Willemson
    http://arxiv.org/abs/2109.01994v1

    • [cs.CV]3D Human Texture Estimation from a Single Image with Transformers
    Xiangyu Xu, Chen Change Loy
    http://arxiv.org/abs/2109.02563v1

    • [cs.CV]A Comprehensive Approach for UAV Small Object Detection with Simulation-based Transfer Learning and Adaptive Fusion
    Chen Rui, Guo Youwei, Zheng Huafei, Jiang Hongyu
    http://arxiv.org/abs/2109.01800v1

    • [cs.CV]A realistic approach to generate masked faces applied on two novel masked face recognition data sets
    Tudor Mare, Georgian Duta, Mariana-Iuliana Georgescu, Adrian Sandru, Bogdan Alexe, Marius Popescu, Radu Tudor Ionescu
    http://arxiv.org/abs/2109.01745v1

    • [cs.CV]Audio-Visual Transformer Based Crowd Counting
    Usman Sajid, Xiangyu Chen, Hasan Sajid, Taejoon Kim, Guanghui Wang
    http://arxiv.org/abs/2109.01926v1

    • [cs.CV]Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation
    Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
    http://arxiv.org/abs/2109.02618v1

    • [cs.CV]CTRL-C: Camera calibration TRansformer with Line-Classification
    Jinwoo Lee, Hyunsung Go, Hyunjoon Lee, Sunghyun Cho, Minhyuk Sung, Junho Kim
    http://arxiv.org/abs/2109.02259v1

    • [cs.CV]Class Semantics-based Attention for Action Detection
    Deepak Sridhar, Niamul Quader, Srikanth Muralidharan, Yaoxin Li, Peng Dai, Juwei Lu
    http://arxiv.org/abs/2109.02613v1

    • [cs.CV]Comparing the Machine Readability of Traffic Sign Pictograms in Austria and Germany
    Stefan Thumfart, Christoph Wruß
    http://arxiv.org/abs/2109.02362v1

    • [cs.CV]Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesis
    Tong Sha, Wei Zhang, Tong Shen, Zhoujun Li, Tao Mei
    http://arxiv.org/abs/2109.02081v1

    • [cs.CV]Deep Saliency Prior for Reducing Visual Distraction
    Junfeng He, Yossi Gandelsman, Inbar Mosseri, David E. Jacobs, Kai Kohlhoff, Yael Pritch, Michael Rubinstein
    http://arxiv.org/abs/2109.01980v1

    • [cs.CV]Does Melania Trump have a body double from the perspective of automatic face recognition?
    Khawla Mallat, Fabiola Becerra-Riera, Annette Morales-González, Heydi Méndez-Vázquez, Jean-Luc Dugelay
    http://arxiv.org/abs/2109.02283v1

    • [cs.CV]Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation
    Lin Wang, Yujeong Chae, Kuk-Jin Yoon
    http://arxiv.org/abs/2109.01801v1

    • [cs.CV]ERA: Entity Relationship Aware Video Summarization with Wasserstein GAN
    Guande Wu, Jianzhe Lin, Claudio T. Silva
    http://arxiv.org/abs/2109.02625v1

    • [cs.CV]Efficient Action Recognition Using Confidence Distillation
    Shervin Manzuri Shalmani, Fei Chiang, Rong Zheng
    http://arxiv.org/abs/2109.02137v1

    • [cs.CV]Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation
    Ziniu Wan, Zhengjia Li, Maoqing Tian, Jianbo Liu, Shuai Yi, Hongsheng Li
    http://arxiv.org/abs/2109.02303v1

    • [cs.CV]Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing
    Xingjian He, Weining Wang, Zhiyong Xu, Hao Wang, Jie Jiang, Jing Liu
    http://arxiv.org/abs/2109.02281v1

    • [cs.CV]F3S: Free Flow Fever Screening
    Kunal Rao, Giuseppe Coviello, Min Feng, Biplob Debnath, Wang-Pin Hsiung, Murugan Sankaradas, Yi Yang, Oliver Po, Utsav Drolia, Srimat Chakradhar
    http://arxiv.org/abs/2109.01733v1

    • [cs.CV]Fast Image-Anomaly Mitigation for Autonomous Mobile Robots
    Gianmario Fumagalli, Yannick Huber, Marcin Dymczyk, Roland Siegwart, Renaud Dubé
    http://arxiv.org/abs/2109.01889v1

    • [cs.CV]From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation
    Qi Li, Weixiang Yang, Wenxi Liu, Yuanlong Yu, Shengfeng He
    http://arxiv.org/abs/2109.02580v1

    • [cs.CV]Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution
    Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng
    http://arxiv.org/abs/2109.02079v1

    • [cs.CV]GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization
    Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu
    http://arxiv.org/abs/2109.02220v1

    • [cs.CV]GOHOME: Graph-Oriented Heatmap Output forfuture Motion Estimation
    Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde
    http://arxiv.org/abs/2109.01827v1

    • [cs.CV]GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph
    Zhixuan Zhang, Chi Zhang, Zhenning Niu, Le Wang, Yuehu Liu
    http://arxiv.org/abs/2109.02226v1

    • [cs.CV]Hierarchical Object-to-Zone Graph for Object Navigation
    Sixian Zhang, Xinhang Song, Yubing Bai, Weijie Li, Yakui Chu, Shuqiang Jiang
    http://arxiv.org/abs/2109.02066v1

    • [cs.CV]ISyNet: Convolutional Neural Networks design for AI accelerator
    Alexey Letunovskiy, Vladimir Korviakov, Vladimir Polovnikov, Anastasiia Kargapoltseva, Ivan Mazurenko, Yepan Xiong
    http://arxiv.org/abs/2109.01932v1

    • [cs.CV]Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking
    Steven Carrell, Amir Atapour-Abarghouei
    http://arxiv.org/abs/2109.02119v1

    • [cs.CV]Image In painting Applied to Art Completing Escher’s Print Gallery
    Lucia Cipolina-Kun, Simone Caenazzo, Gaston Mazzei, Aditya Srinivas Menon
    http://arxiv.org/abs/2109.02536v1

    • [cs.CV]Image recognition via Vietoris-Rips complex
    Yasuhiko Asao, Jumpei Nagase, Ryotaro Sakamoto, Shiro Takagi
    http://arxiv.org/abs/2109.02231v1

    • [cs.CV]Improved RAMEN: Towards Domain Generalization for Visual Question Answering
    Bhanuka Manesha Samarasekara Vitharana Gamage, Lim Chern Hong
    http://arxiv.org/abs/2109.02370v1

    • [cs.CV]Information Theory-Guided Heuristic Progressive Multi-View Coding
    Jiangmeng Li, Wenwen Qiang, Hang Gao, Bing Su, Farid Razzak, Jie Hu, Changwen Zheng, Hui Xiong
    http://arxiv.org/abs/2109.02344v1

    • [cs.CV]Learning Fine-Grained Motion Embedding for Landscape Animation
    Hongwei Xue, Bei Liu, Huan Yang, Jianlong Fu, Houqiang Li, Jiebo Luo
    http://arxiv.org/abs/2109.02216v1

    • [cs.CV]Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering
    Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, Zhaopeng Cui
    http://arxiv.org/abs/2109.01847v1

    • [cs.CV]Learning to Generate Scene Graph from Natural Language Supervision
    Yiwu Zhong, Jing Shi, Jianwei Yang, Chenliang Xu, Yin Li
    http://arxiv.org/abs/2109.02227v1

    • [cs.CV]Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification
    Sabbir Ahmed, Md. Bakhtiar Hasan, Tasnim Ahmed, Redwan Karim Sony, Md. Hasanul Kabir
    http://arxiv.org/abs/2109.02394v1

    • [cs.CV]Moving Object Detection for Event-based Vision using k-means Clustering
    Anindya Mondal, Mayukhmali Das
    http://arxiv.org/abs/2109.01879v1

    • [cs.CV]Navigating the Mise-en-Page: Interpretive Machine Learning Approaches to the Visual Layouts of Multi-Ethnic Periodicals
    Benjamin Charles Germain Lee, Joshua Ortiz Baco, Sarah H. Salter, Jim Casey
    http://arxiv.org/abs/2109.01732v1

    • [cs.CV]On robustness of generative representations against catastrophic forgetting
    Wojciech Masarczyk, Kamil Deja, Tomasz Trzciński
    http://arxiv.org/abs/2109.01844v1

    • [cs.CV]PR-Net: Preference Reasoning for Personalized Video Highlight Detection
    Runnan Chen, Penghao Zhou, Wenzhe Wang, Nenglun Chen, Pai Peng, Xing Sun, Wenping Wang
    http://arxiv.org/abs/2109.01799v1

    • [cs.CV]Parsing Table Structures in the Wild
    Rujiao Long, Wen Wang, Nan Xue, Feiyu Gao, Zhibo Yang, Yongpan Wang, Gui-Song Xia
    http://arxiv.org/abs/2109.02199v1

    • [cs.CV]Point-Based Neural Rendering with Per-View Optimization
    Georgios Kopanas, Julien Philip, Thomas Leimkühler, George Drettakis
    http://arxiv.org/abs/2109.02369v1

    • [cs.CV]Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection
    Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu
    http://arxiv.org/abs/2109.02499v1

    • [cs.CV]Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical
    Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, Jie Zhou
    http://arxiv.org/abs/2109.02219v1

    • [cs.CV]RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions
    Chenjie Wang, Chengyuan Li, Bin Luo, Wei Wang, Jun Liu
    http://arxiv.org/abs/2109.01820v1

    • [cs.CV]Robust Attentive Deep Neural Network for Exposing GAN-generated Faces
    Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu
    http://arxiv.org/abs/2109.02167v1

    • [cs.CV]Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information
    Hao Xing, Yuxuan Xue, Mingchuan Zhou, Darius Burschka
    http://arxiv.org/abs/2109.02376v1

    • [cs.CV]Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation
    Gauthier Roy, Jules Dedieu, Capucine Bertrand, Alireza Moshayedi, Ali Mammadov, Stéphanie Petit, Saima Ben Hadj, Rutger H. J. Fick
    http://arxiv.org/abs/2109.01878v1

    • [cs.CV]Robust fine-tuning of zero-shot models
    Mitchell Wortsman, Gabriel Ilharco, Mike Li, Jong Wook Kim, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt
    http://arxiv.org/abs/2109.01903v1

    • [cs.CV]Seam Carving Detection and Localization using Two-Stage Deep Neural Networks
    Lakshmanan Nataraj, Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
    http://arxiv.org/abs/2109.01764v1

    • [cs.CV]Self-supervised Product Quantization for Deep Unsupervised Image Retrieval
    Young Kyun Jang, Nam Ik Cho
    http://arxiv.org/abs/2109.02244v1

    • [cs.CV]Sparse Spatial Attention Network for Semantic Segmentation
    Mengyu Liu, Hujun Yin
    http://arxiv.org/abs/2109.01915v1

    • [cs.CV]Spatial Domain Feature Extraction Methods for Unconstrained Handwritten Malayalam Character Recognition
    Jomy John
    http://arxiv.org/abs/2109.02153v1

    • [cs.CV]Spatiotemporal Inconsistency Learning for DeepFake Video Detection
    Zhihao Gu
    http://arxiv.org/abs/2109.01860v1

    • [cs.CV]Square Root Marginalization for Sliding-Window Bundle Adjustment
    Nikolaus Demmel, David Schubert, Christiane Sommer, Daniel Cremers, Vladyslav Usenko
    http://arxiv.org/abs/2109.02182v1

    • [cs.CV]Stimuli-Aware Visual Emotion Analysis
    Jingyuan Yang, Jie Li, Xiumei Wang, Yuxuan Ding, Xinbo Gao
    http://arxiv.org/abs/2109.01812v1

    • [cs.CV]Stochastic Neural Radiance Fields:Quantifying Uncertainty in Implicit 3D Representations
    Jianxiong Shen, Adria Ruiz, Antonio Agudo, Francesc Moreno
    http://arxiv.org/abs/2109.02123v1

    • [cs.CV]Tensor Normalization and Full Distribution Training
    Wolfgang Fuhl
    http://arxiv.org/abs/2109.02345v1

    • [cs.CV]The Animation Transformer: Visual Correspondence via Segment Matching
    Evan Casey, Víctor Pérez, Zhuoru Li, Harry Teitelman, Nick Boyajian, Tim Pulver, Mike Manh, William Grisaitis
    http://arxiv.org/abs/2109.02614v1

    • [cs.CV]To be Critical: Self-Calibrated Weakly Supervised Learning for Salient Object Detection
    Yongri Piao, Jian Wang, Miao Zhang, Zhengxuan Ma, Huchuan Lu
    http://arxiv.org/abs/2109.01770v1

    • [cs.CV]Toward Realistic Single-View 3D Object Reconstructionwith Unsupervised Learning from Multiple Images
    Long-Nhat Ho, Anh Tuan Tran, Quynh Phung, Minh Hoai
    http://arxiv.org/abs/2109.02288v1

    • [cs.CV]Underwater 3D Reconstruction Using Light Fields
    Yuqi Ding, Yu Ji, Jingyi Yu, Jinwei Ye
    http://arxiv.org/abs/2109.02116v1

    • [cs.CV]Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness
    Uriya Pesso, Koby Bibas, Meir Feder
    http://arxiv.org/abs/2109.01945v1

    • [cs.CV]Visual Recognition with Deep Learning from Biased Image Datasets
    Robin Vogel, Stephan Clémençon, Pierre Laforgue
    http://arxiv.org/abs/2109.02357v1

    • [cs.CV]Voxel Transformer for 3D Object Detection
    Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu
    http://arxiv.org/abs/2109.02497v1

    • [cs.CV]Weakly Supervised Relative Spatial Reasoning for Visual Question Answering
    Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
    http://arxiv.org/abs/2109.01934v1

    • [cs.CY]Examining the tech stacks of Czech and Slovak untrustworthy websites
    Jozef Michal Mintal, Anna Macko, Marko Paľa, Františka Pirosková, Pavlo Yakubets, Jaroslav Ušiak, Karol Fabián
    http://arxiv.org/abs/2109.02359v1

    • [cs.CY]Multi-layer network approach in modeling epidemics in an urban town
    Meliksah Turker, Haluk O. Bingol
    http://arxiv.org/abs/2109.02272v1

    • [cs.CY]Teachers Without Borders
    Elochukwu A. Ukwandu, Robert Onyeneke
    http://arxiv.org/abs/2109.02526v1

    • [cs.DC]A Survey on Resilience in the IoT: Taxonomy, Classification and Discussion of Resilience Mechanisms
    Christian Berger, Philipp Eichhammer, Hans P. Reiser, Jörg Domaschka, Franz J. Hauck, Gerhard Habiger
    http://arxiv.org/abs/2109.02328v1

    • [cs.DC]Assessing the Use Cases of Persistent Memory in High-Performance Scientific Computing
    Yehonatan Fridman, Yaniv Snir, Matan Rusanovsky, Kfir Zvi, Harel Levin, Danny Hendler, Hagit Attiya, Gal Oren
    http://arxiv.org/abs/2109.02166v1

    • [cs.DC]Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters
    Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang
    http://arxiv.org/abs/2109.01313v2

    • [cs.DC]Comparative Analysis for Quick Sort Algorithm under four Different Modes of Execution
    Mohammad Fasha
    http://arxiv.org/abs/2109.01719v1

    • [cs.DC]Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing
    Morgan K. Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Odej Kao, Lauritz Thamsen
    http://arxiv.org/abs/2109.02340v1

    • [cs.DC]RAMA: A Rapid Multicut Algorithm on GPU
    Ahmed Abbas, Paul Swoboda
    http://arxiv.org/abs/2109.01838v1

    • [cs.ET]A review of Quantum Neural Networks: Methods, Models, Dilemma
    Renxin Zhao, Shi Wang
    http://arxiv.org/abs/2109.01840v1

    • [cs.GR]CodeNeRF: Disentangled Neural Radiance Fields for Object Categories
    Wonbong Jang, Lourdes Agapito
    http://arxiv.org/abs/2109.01750v1

    • [cs.GT]On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games
    Xiaotie Deng, Yuhao Li, David Henry Mguni, Jun Wang, Yaodong Yang
    http://arxiv.org/abs/2109.01795v1

    • [cs.HC]Explaining Autonomous Decisions in Swarms of Human-on-the-Loop Small Unmanned Aerial Systems
    Ankit Agrawal, Jane Cleland-Huang
    http://arxiv.org/abs/2109.02077v1

    • [cs.HC]Sensor Data Augmentation with Resampling for Contrastive Learning in Human Activity Recognition
    Jinqiang Wang, Tao Zhu, Jingyuan Gan, Huansheng Ning, Yaping Wan
    http://arxiv.org/abs/2109.02054v1

    • [cs.IR]Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation
    Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King
    http://arxiv.org/abs/2109.02046v1

    • [cs.IR]Job Posting-Enriched Knowledge Graph for Skills-based Matching
    Maurits de Groot, Jelle Schutte, David Graus
    http://arxiv.org/abs/2109.02554v1

    • [cs.IR]Recommending Researchers in Machine Learning based on Author-Topic Model
    Deepak Sharma, Bijendra Kumar, Satish Chand
    http://arxiv.org/abs/2109.02022v1

    • [cs.IR]Representation Learning for Efficient and Effective Similarity Search and Recommendation
    Casper Hansen
    http://arxiv.org/abs/2109.01815v1

    • [cs.IR]Towards Retrieval-based Conversational Recommendation
    Ahtsham Manzoor, Dietmar Jannach
    http://arxiv.org/abs/2109.02311v1

    • [cs.IT]A Delicately Restricted Channel and Decoding of Maximum Rank Distance Codes
    Wrya K. Kadir
    http://arxiv.org/abs/2109.02069v1

    • [cs.IT]A Survey on IoT Smart Healthcare: Emerging Technologies, Applications, Challenges, and Future Trends
    M. Ali Tunc, Emre Gures, Ibraheem Shayea
    http://arxiv.org/abs/2109.02042v1

    • [cs.IT]Bit Density Based Signal and Jamming Detection in 1-Bit Quantized MIMO Systems
    M. A. Teeti
    http://arxiv.org/abs/2109.02239v1

    • [cs.IT]Decoding Reed-Muller Codes with Successive Factor-Graph Permutations
    Nghia Doan, Seyyed Ali Hashemi, Marco Mondelli, Warren J. Gross
    http://arxiv.org/abs/2109.02122v1

    • [cs.IT]Iterative Threshold Decoding of Spatially Coupled, Parallel-Concatenated Codes
    Andrew D. Cummins, David G. M. Mitchell, Daniel J. Costello, Jr
    http://arxiv.org/abs/2109.01955v1

    • [cs.IT]Jammer Mitigation via Beam-Slicing for Low-Resolution mmWave Massive MU-MIMO
    Gian Marti, Oscar Castañeda, Christoph Studer
    http://arxiv.org/abs/2109.02502v1

    • [cs.IT]Learning to Perform Downlink Channel Estimation in Massive MIMO Systems
    Amin Ghazanfari, Trinh Van Chien, Emil Björnson, Erik G. Larsson
    http://arxiv.org/abs/2109.02463v1

    • [cs.IT]Linear complexity over 今日学术视野(2021.9.8) - 图4 and 2-adic complexity of a class of binary generalized cyclotomic sequences with low-value autocorrelation
    Yan Wang, Xilin Han, Weiqiong Wang, Ziling Heng
    http://arxiv.org/abs/2109.02095v1

    • [cs.IT]Low SNR Capacity of Keyhole MIMO Channel in Nakagami-m Fading With Full CSI
    Kamal Singh, Chandradeep Singh, Chia-Hsiang Lin
    http://arxiv.org/abs/2109.01817v1

    • [cs.IT]Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning
    Hang Liu, Zehong Lin, Xiaojun Yuan, Ying-Jun Angela Zhang
    http://arxiv.org/abs/2109.02353v1

    • [cs.IT]Robust Congestion Control for Demand-Based Optimization in Precoded Multi-Beam High Throughput Satellite Communications
    Van-Phuc Bui, Trinh Van Chien, Eva Lagunas, Joël Grotz, Symeon Chatzinotas, Björn Ottersten
    http://arxiv.org/abs/2109.02327v1

    • [cs.IT]Universal Joint Source-Channel Coding Under an Input Energy Constraint
    Omri Lev, Anatoly Khina
    http://arxiv.org/abs/2109.02337v1

    • [cs.LG]Active Learning for Automated Visual Inspection of Manufactured Products
    Elena Trajkova, Jože M. Rožanec, Paulien Dam, Blaž Fortuna, Dunja Mladenić
    http://arxiv.org/abs/2109.02469v1

    • [cs.LG]An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction
    Abiodun Ayodeji, Wenhai Wang, Jianzhong Su, Jianquan Yuan, Xinggao Liu
    http://arxiv.org/abs/2109.01761v1

    • [cs.LG]Assessing the Knowledge State of Online Students — New Data, New Approaches, Improved Accuracy
    Robin Schmucker, Jingbo Wang, Shijia Hu, Tom M. Mitchell
    http://arxiv.org/abs/2109.01753v1

    • [cs.LG]Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting
    Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Solhee Park, Noseong Park
    http://arxiv.org/abs/2109.01876v1

    • [cs.LG]Automated Robustness with Adversarial Training as a Post-Processing Step
    Ambrish Rawat, Mathieu Sinn, Beat Buesser
    http://arxiv.org/abs/2109.02532v1

    • [cs.LG]Automatic Online Multi-Source Domain Adaptation
    Renchunzi Xie, Mahardhika Pratama
    http://arxiv.org/abs/2109.01996v1

    • [cs.LG]Backdoor Attack and Defense for Deep Regression
    Xi Li, George Kesidis, David J. Miller, Vladimir Lucic
    http://arxiv.org/abs/2109.02381v1

    • [cs.LG]Barycenteric distribution alignment and manifold-restricted invertibility for domain generalization
    Boyang Lyu, Thuan Nguyen, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron
    http://arxiv.org/abs/2109.01902v1

    • [cs.LG]Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data
    Kun Zhai, Qiang Ren, Junli Wang, Chungang Yan
    http://arxiv.org/abs/2109.02396v1

    • [cs.LG]Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss
    Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang
    http://arxiv.org/abs/2109.02100v1

    • [cs.LG]Customer 360-degree Insights in Predicting Chronic Diabetes
    Asish Satpathy, Satyajit Behari
    http://arxiv.org/abs/2109.01863v1

    • [cs.LG]Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning
    S. Ashwin Renganathan, Romit Maulik, Stefano Letizia, Giacomo Valerio Iungo
    http://arxiv.org/abs/2109.02411v1

    • [cs.LG]Delving into Macro Placement with Reinforcement Learning
    Zixuan Jiang, Ebrahim Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe Jiang, Young-Joon Lee, David Z. Pan
    http://arxiv.org/abs/2109.02587v1

    • [cs.LG]Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms
    Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, TianYun Ma, JiYuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xishan Zhang, Zidong Du, Qi Guo, Yunji Chen
    http://arxiv.org/abs/2109.01768v1

    • [cs.LG]Error Controlled Actor-Critic
    Xingen Gao, Fei Chao, Changle Zhou, Zhen Ge, Chih-Min Lin, Longzhi Yang, Xiang Chang, Changjing Shang
    http://arxiv.org/abs/2109.02517v1

    • [cs.LG]EsmamDS: A more diverse exceptional survival model mining approach
    Juliana Barcellos Mattos, Paulo S. G. de Mattos Neto, Renato Vimieiro
    http://arxiv.org/abs/2109.02610v1

    • [cs.LG]Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS
    Stephan Gärttner, Faruk O. Alpak, Andreas Meier, Nadja Ray, Florian Frank
    http://arxiv.org/abs/2109.01818v1

    • [cs.LG]Estimating the probabilities of causation via deep monotonic twin networks
    Athanasios Vlontzos, Bernhard Kainz, Ciaran M. Gilligan-Lee
    http://arxiv.org/abs/2109.01904v1

    • [cs.LG]Fair Federated Learning for Heterogeneous Face Data
    Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Sujit Gujar
    http://arxiv.org/abs/2109.02351v1

    • [cs.LG]Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation
    Xinhai Zhao, Yuyuan Yu, Guoxu Zhou, Qibin Zhao, Weijun Sun
    http://arxiv.org/abs/2109.02314v1

    • [cs.LG]Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
    Alexandre Capone, Armin Lederer, Sandra Hirche
    http://arxiv.org/abs/2109.02606v1

    • [cs.LG]Generation of Synthetic Electronic Health Records Using a Federated GAN
    John Weldon, Tomas Ward, Eoin Brophy
    http://arxiv.org/abs/2109.02543v1

    • [cs.LG]Global-Local Item Embedding for Temporal Set Prediction
    Seungjae Jung, Young-Jin Park, Jisu Jeong, Kyung-Min Kim, Hiun Kim, Minkyu Kim, Hanock Kwak
    http://arxiv.org/abs/2109.02074v1

    • [cs.LG]Going Beyond Neural Architecture Search with Sampling-based Neural Ensemble Search
    Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low
    http://arxiv.org/abs/2109.02533v1

    • [cs.LG]Gradient Normalization for Generative Adversarial Networks
    Yi-Lun Wu, Hong-Han Shuai, Zhi-Rui Tam, Hong-Yu Chiu
    http://arxiv.org/abs/2109.02235v1

    • [cs.LG]Guiding Global Placement With Reinforcement Learning
    Robert Kirby, Kolby Nottingham, Rajarshi Roy, Saad Godil, Bryan Catanzaro
    http://arxiv.org/abs/2109.02631v1

    • [cs.LG]Hindsight Reward Tweaking via Conditional Deep Reinforcement Learning
    Ning Wei, Jiahua Liang, Di Xie, Shiliang Pu
    http://arxiv.org/abs/2109.02332v1

    • [cs.LG]Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment
    Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur Srihari, Yifan Peng, Mingchen Gao
    http://arxiv.org/abs/2109.01949v1

    • [cs.LG]Inferring feature importance with uncertainties in high-dimensional data
    Pål Vegard Johnsen, Inga Strümke, Signe Riemer-Sørensen, Andrew Thomas DeWan, Mette Langaas
    http://arxiv.org/abs/2109.00855v2

    • [cs.LG]Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models
    Daniel Flam-Shepherd, Tony Wu, Xuemei Gu, Alba Cervera-Lierta, Mario Krenn, Alan Aspuru-Guzik
    http://arxiv.org/abs/2109.02490v1

    • [cs.LG]MLCTR: A Fast Scalable Coupled Tensor Completion Based on Multi-Layer Non-Linear Matrix Factorization
    Ajim Uddin, Dan Zhou, Xinyuan Tao, Chia-Ching Chou, Dantong Yu
    http://arxiv.org/abs/2109.01773v1

    • [cs.LG]NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
    Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S. -H. Gary Chan, Zhenguo Li
    http://arxiv.org/abs/2109.02038v1

    • [cs.LG]Node Feature Kernels Increase Graph Convolutional Network Robustness
    Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis
    http://arxiv.org/abs/2109.01785v1

    • [cs.LG]Nonparametric Extrema Analysis in Time Series for Envelope Extraction, Peak Detection and Clustering
    Kaan Gokcesu, Hakan Gokcesu
    http://arxiv.org/abs/2109.02082v1

    • [cs.LG]On Second-order Optimization Methods for Federated Learning
    Sebastian Bischoff, Stephan Günnemann, Martin Jaggi, Sebastian U. Stich
    http://arxiv.org/abs/2109.02388v1

    • [cs.LG]Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning
    Marinos Poiitis, Pavlos Sermpezis, Athena Vakali
    http://arxiv.org/abs/2109.02358v1

    • [cs.LG]Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data
    Mohammed Amine Gharsallaoui, Islem Rekik
    http://arxiv.org/abs/2109.02248v1

    • [cs.LG]Scikit-dimension: a Python package for intrinsic dimension estimation
    Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Zinovyev
    http://arxiv.org/abs/2109.02596v1

    • [cs.LG]Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments
    Zhenhui Ye, Xiaohong Jiang, Guanghua Song, Bowei Yang
    http://arxiv.org/abs/2109.02032v1

    • [cs.LG]Sparse-MLP: A Fully-MLP Architecture with Conditional Computation
    Yuxuan Lou, Fuzhao Xue, Zangwei Zheng, Yang You
    http://arxiv.org/abs/2109.02008v1

    • [cs.LG]Statistical Privacy Guarantees of Machine Learning Preprocessing Techniques
    Ashly Lau, Jonathan Passerat-Palmbach
    http://arxiv.org/abs/2109.02496v1

    • [cs.LG]Structural Optimization Makes Graph Classification Simpler and Better
    Junran Wu, Jianhao Li, Yicheng Pan, Ke Xu
    http://arxiv.org/abs/2109.02027v1

    • [cs.LG]Supervised DKRC with Images for Offline System Identification
    Alexander Krolicki, Pierre-Yves Lavertu
    http://arxiv.org/abs/2109.02241v1

    • [cs.LG]Temporal Aware Deep Reinforcement Learning
    Deepak-George Thomas
    http://arxiv.org/abs/2109.02145v1

    • [cs.LG]Thompson Sampling for Bandits with Clustered Arms
    Emil Carlsson, Devdatt Dubhashi, Fredrik D. Johansson
    http://arxiv.org/abs/2109.01656v1

    • [cs.LG]Training Graph Neural Networks by Graphon Estimation
    Ziqing Hu, Yihao Fang, Lizhen Lin
    http://arxiv.org/abs/2109.01918v1

    • [cs.LG]Training Meta-Surrogate Model for Transferable Adversarial Attack
    Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh
    http://arxiv.org/abs/2109.01983v1

    • [cs.LG]Urban Fire Station Location Planning: A Systematic Approach using Predicted Demand and Service Quality Index
    Arnab Dey, Andrew Heger, Darin England
    http://arxiv.org/abs/2109.02160v1

    • [cs.LG]VARGAN: Variance Enforcing Network Enhanced GAN
    Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar
    http://arxiv.org/abs/2109.02117v1

    • [cs.NE]Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning
    Wachirawit Ponghiran, Kaushik Roy
    http://arxiv.org/abs/2109.01905v1

    • [cs.NI]Parsimonious Edge Computing to Reduce Microservice Resource Usage
    Mathieu Simon, Alessandro Spallina, Loic Dubocquet, Andrea Araldo
    http://arxiv.org/abs/2109.02514v1

    • [cs.RO]A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight
    Sihao Sun, Angel Romero, Philipp Foehn, Elia Kaufmann, Davide Scaramuzza
    http://arxiv.org/abs/2109.01365v2

    • [cs.RO]Autonomous tissue retraction with a biomechanically informed logic based framework
    D. Meli, E. Tagliabue, D. Dall’Alba, P. Fiorini
    http://arxiv.org/abs/2109.02316v1

    • [cs.RO]Communicating Inferred Goals with Passive Augmented Reality and Active Haptic Feedback
    James F. Mullen Jr, Josh Mosier, Sounak Chakrabarti, Anqi Chen, Tyler White, Dylan P. Losey
    http://arxiv.org/abs/2109.01747v1

    • [cs.RO]Crowd-Aware Robot Navigation for Pedestrians with Multiple Collision Avoidance Strategies via Map-based Deep Reinforcement Learning
    Shunyi Yao1, Guangda Chen, Quecheng Qiu, Jun Ma, Xiaoping Chen, Jianmin Ji
    http://arxiv.org/abs/2109.02541v1

    • [cs.RO]Learning-Based Strategy Design for Robot-Assisted Reminiscence Therapy Based on a Developed Model for People with Dementia
    Fengpei Yuan, Ran Zhang, Dania Bilal, Xiaopeng Zhao
    http://arxiv.org/abs/2109.02194v1

    • [cs.RO]Multi-Agent Variational Occlusion Inference Using People as Sensors
    Masha Itkina, Ye-Ji Mun, Katherine Driggs-Campbell, Mykel J. Kochenderfer
    http://arxiv.org/abs/2109.02173v1

    • [cs.RO]Navigational Path-Planning For All-Terrain Autonomous Agricultural Robot
    Vedant Ghodke
    http://arxiv.org/abs/2109.02015v1

    • [cs.RO]Predicting Performance of SLAM Algorithms
    Matteo Luperto, Valerio Castelli, Francesco Amigoni
    http://arxiv.org/abs/2109.02329v1

    • [cs.RO]Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery
    Ameya Pore, Davide Corsi, Enrico Marchesini, Diego Dall’Alba, Alicia Casals, Alessandro Farinelli, Paolo Fiorini
    http://arxiv.org/abs/2109.02323v1

    • [cs.RO]Shaping Individualized Impedance Landscapes for Gait Training via Reinforcement Learning
    Yufeng Zhang, Shuai Li, Karen J. Nolan, Damiano Zanotto
    http://arxiv.org/abs/2109.02109v1

    • [cs.RO]Socially-Aware Multi-Agent Following with 2D Laser Scans via Deep Reinforcement Learning and Potential Field
    Yuxiang Cui, Xiaolong Huang, Yue Wang, Rong Xiong
    http://arxiv.org/abs/2109.01874v1

    • [cs.RO]Surgery Scene Restoration for Robot Assisted Minimally Invasive Surgery
    Shahnewaz Ali, Yaqub Jonmohamadi, Ross Crawford, Davide Fontanarosa, Ajay K. Pandey
    http://arxiv.org/abs/2109.02253v1

    • [cs.RO]Task-Level Authoring for Remote Robot Teleoperation
    Emmanuel Senft, Michael Hagenow, Kevin Welsh, Robert Radwin, Michael Zinn, Michael Gleicher, Bilge Mutlu
    http://arxiv.org/abs/2109.02301v1

    • [cs.SC]Proceedings of the 9th International Symposium on Symbolic Computation in Software Science
    Temur Kutsia
    http://arxiv.org/abs/2109.02501v1

    • [cs.SD]A Two-stage Complex Network using Cycle-consistent Generative Adversarial Networks for Speech Enhancement
    Guochen Yu, Yutian Wang, Hui Wang, Qin Zhang, Chengshi Zheng
    http://arxiv.org/abs/2109.02011v1

    • [cs.SD]Efficient Attention Branch Network with Combined Loss Function for Automatic Speaker Verification Spoof Detection
    Amir Mohammad Rostami, Mohammad Mehdi Homayounpour, Ahmad Nickabadi
    http://arxiv.org/abs/2109.02051v1

    • [cs.SD]The Phonexia VoxCeleb Speaker Recognition Challenge 2021 System Description
    Josef Slavíček, Albert Swart, Michal Klčo, Niko Brümmer
    http://arxiv.org/abs/2109.02052v1

    • [cs.SD]Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks
    Russell Sammut Bonnici, Charalampos Saitis, Martin Benning
    http://arxiv.org/abs/2109.02096v1

    • [cs.SI](Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys
    Kenneth Joseph, Sarah Shugars, Ryan Gallagher, Jon Green, Alexi Quintana Mathé, Zijian An, David Lazer
    http://arxiv.org/abs/2109.01762v1

    • [cs.SI]Click-Through Rate Prediction with Multi-Modal Hypergraphs
    Li He, Hongxu Chen, Dingxian Wang, Jameel Shoaib, Philip Yu, Guandong Xu
    http://arxiv.org/abs/2109.02398v1

    • [cs.SI]Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model
    Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang
    http://arxiv.org/abs/2109.02058v1

    • [cs.SI]Influence of NaMo App on Twitter
    Shreya Sharma, Samiya Caur, Hitkul, Ponnurangam Kumaraguru
    http://arxiv.org/abs/2109.01936v1

    • [cs.SI]MONITOR: A Multimodal Fusion Framework to Assess Message Veracity in Social Networks
    Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont, Camille Noûs
    http://arxiv.org/abs/2109.02271v1

    • [cs.SI]Online Learning of Independent Cascade Models with Node-level Feedback
    Shuoguang Yang, Van-Anh Truong
    http://arxiv.org/abs/2109.02519v1

    • [cs.SI]Providing an Approach to Predicting Customer Quality in E-Commerce Social Networks Based on Big Data and Unsupervised Learning Method
    Mohammad Arab
    http://arxiv.org/abs/2109.02080v1

    • [cs.SI]Social Network Analysis of the Professional Community Interaction — Movie Industry Case
    Ilia Karpov, Roman Marakulin
    http://arxiv.org/abs/2109.01722v1

    • [cs.SI]TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories
    Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu
    http://arxiv.org/abs/2109.02094v1

    • [eess.IV](M)SLAe-Net: Multi-Scale Multi-Level Attention embedded Network for Retinal Vessel Segmentation
    Shreshth Saini, Geetika Agrawal
    http://arxiv.org/abs/2109.02084v1

    • [eess.IV]A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation
    Richard Shaw, Carole H. Sudre, Sebastien Ourselin, M. Jorge Cardoso, Hugh G. Pemberton
    http://arxiv.org/abs/2109.02413v1

    • [eess.IV]A Privacy-Preserving Image Retrieval Scheme Using A Codebook Generated From Independent Plain-Image Dataset
    Kenta Iida, Hitoshi Kiya
    http://arxiv.org/abs/2109.01841v1

    • [eess.IV]Automated Cardiac Resting Phase Detection Targeted on the Right Coronary Artery
    Seung Su Yoon, Elisabeth Preuhs, Michaela Schmidt, Christoph Forman, Teodora Chitiboi, Puneet Sharma, Juliano Lara Fernandes, Christoph Tillmanns, Jens Wetzl, Andreas Maier
    http://arxiv.org/abs/2109.02342v1

    • [eess.IV]Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review
    Rita Marques, Danilo Andrade De Jesus, João Barbosa Breda, Jan Van Eijgen, Ingeborg Stalmans, Theo van Walsum, Stefan Klein, Pedro G. Vaz, Luisa Sánchez Brea
    http://arxiv.org/abs/2109.02322v1

    • [eess.IV]Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging
    Yexing Hu, Berkan Lafci, Artur Luzgin, Hao Wang, Jan Klohs, Xose Luis Dean-Ben, Ruiqing Ni, Daniel Razansky, Wuwei Ren
    http://arxiv.org/abs/2109.01880v1

    • [eess.IV]Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays
    Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos, Henrique Bohn, Ismael Santos, Rodrigo da Rosa Righi
    http://arxiv.org/abs/2109.02415v1

    • [eess.IV]Image Compression with Recurrent Neural Network and Generalized Divisive Normalization
    Khawar Islam, L. Minh Dang, Sujin Lee, Hyeonjoon Moon
    http://arxiv.org/abs/2109.01999v1

    • [eess.IV]OCTAVA: an open-source toolbox for quantitative analysis of optical coherence tomography angiography images
    Gavrielle R. Untracht, Rolando Matos, Nikolaos Dikaios, Mariam Bapir, Abdullah K. Durrani, Teemapron Butsabong, Paola Campagnolo, David D. Sampson, Christian Heiss, Danuta M. Sampson
    http://arxiv.org/abs/2109.01835v1

    • [eess.IV]Predicting isocitrate dehydrogenase mutationstatus in glioma using structural brain networksand graph neural networks
    Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price
    http://arxiv.org/abs/2109.01854v1

    • [eess.IV]Recognition of COVID-19 Disease Utilizing X-Ray Imaging of the Chest Using CNN
    Md Gulzar Hussain, Ye Shiren
    http://arxiv.org/abs/2109.02103v1

    • [eess.IV]Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition
    Lei Li, Wangbin Ding, Liqun Huang, Xiahai Zhuang
    http://arxiv.org/abs/2109.02171v1

    • [eess.IV]Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke
    Anna Dobshik, Andrey Tulupov, Vladimir Berikov
    http://arxiv.org/abs/2109.01887v1

    • [eess.SP]Adaptive Turbo Equalization for Nonlinearity Compensation in WDM Systems
    Edson Porto da Silva, Metodi Plamenov Yankov
    http://arxiv.org/abs/2109.02148v1

    • [eess.SP]Estimating Leaf Water Content using Remotely Sensed Hyperspectral Data
    Vishal Vinod, Rahul Raj, Rohit Pingale, Adinarayana Jagarlapudi
    http://arxiv.org/abs/2109.02250v1

    • [eess.SP]FBCNN: A Deep Neural Network Architecture for Portable and Fast Brain-Computer Interfaces
    Pedro R. A. S. Bassi, Romis Attux
    http://arxiv.org/abs/2109.02165v1

    • [eess.SP]Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification
    Ziyu Jia, Youfang Lin, Jing Wang, Xiaojun Ning, Yuanlai He, Ronghao Zhou, Yuhan Zhou, Li-wei H. Lehman
    http://arxiv.org/abs/2109.01824v1

    • [math.NA]Modelling Arbitrary Complex Dielectric Properties — an automated implementation for gprMax
    Sylwia Majchrowska, Iraklis Giannakis, Craig Warren, Antonios Giannopoulos
    http://arxiv.org/abs/2109.01928v1

    • [math.NA]Variational Physics Informed Neural Networks: the role of quadratures and test functions
    Stefano Berrone, Claudio Canuto, Moreno Pintore
    http://arxiv.org/abs/2109.02035v1

    • [math.OC]On Faster Convergence of Scaled Sign Gradient Descent
    Xiuxian Li, Kuo-Yi Lin, Li Li, Yiguang Hong, Jie Chen
    http://arxiv.org/abs/2109.01806v1

    • [math.OC]Optimal Prediction of Unmeasured Output from Measurable Outputs In LTI Systems
    Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihaly Petreczky
    http://arxiv.org/abs/2109.02384v1

    • [math.OC]Stochastic Subgradient Descent on a Generic Definable Function Converges to a Minimizer
    Sholom Schechtman
    http://arxiv.org/abs/2109.02455v1

    • [math.PR]On the dependence between a Wiener process and its running maxima and running minima processes
    Karol Dąbrowski, Piotr Jaworski
    http://arxiv.org/abs/2109.02024v1

    • [math.ST]Bounding Means of Discrete Distributions
    Eric Bax, Frédéric Ouimet
    http://arxiv.org/abs/2109.02538v1

    • [math.ST]Estimation of cluster functionals for regularly varying time series: runs estimators
    Youssouph Cissokho, Rafal Kulik
    http://arxiv.org/abs/2109.02164v1

    • [math.ST]James-Stein estimation of the first principal component
    Alex Shkolnik
    http://arxiv.org/abs/2109.01975v1

    • [math.ST]On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
    Abhishek Roy, Krishnakumar Balasubramanian, Murat A. Erdogdu
    http://arxiv.org/abs/2109.02224v1

    • [math.ST]Rerandomization with Diminishing Covariate Imbalance and Diverging Number of Covariates
    Yuhao Wang, Xinran Li
    http://arxiv.org/abs/2109.02578v1

    • [math.ST]Stability for layer points
    Katharine L. M. Adamyk
    http://arxiv.org/abs/2109.01701v1

    • [physics.flu-dyn]Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils
    Li-Wei Chen, Nils Thuerey
    http://arxiv.org/abs/2109.02183v1

    • [physics.soc-ph]Model retraining and information sharing in a supply chain with long-term fluctuating demands
    Takahiro Ezaki, Naoto Imura, Katsuhiro Nishinari
    http://arxiv.org/abs/2109.01784v1

    • [q-bio.PE]Estimating the course of the COVID-19 pandemic in Germany via spline-based hierarchical modelling of death counts
    Tobias Wistuba, Andreas Mayr, Christian Staerk
    http://arxiv.org/abs/2109.02599v1

    • [q-bio.QM]Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study
    Junhua Chen, Inigo Bermejo, Andre Dekker, Leonard Wee
    http://arxiv.org/abs/2109.02252v1

    • [q-fin.MF]An axiomatization of 今日学术视野(2021.9.8) - 图5-quantiles
    Fabio Bellini, Ilaria Peri
    http://arxiv.org/abs/2109.02360v1

    • [stat.AP]Binomial confidence intervals for rare events: importance of defining margin of error relative to magnitude of proportion
    Owen McGrath, Kevin Burke
    http://arxiv.org/abs/2109.02516v1

    • [stat.AP]Climate-Related Disasters and the Death Toll
    Valerie Chavez-Demoulin, Eric Jondeau, Linda Mhalla
    http://arxiv.org/abs/2109.02111v1

    • [stat.AP]Modeling the Evolution of Infectious Diseases with Functional Data Models: The Case of COVID-19 in Brazil
    Julian A. A. Collazos, Ronaldo Dias, Marcelo C. Medeiros
    http://arxiv.org/abs/2109.01952v1

    • [stat.AP]Statistical computation methods for microbiome compositional data network inference
    Liang Chen, Qiuyan He, Hui Wan, Shun He, Minghua Deng
    http://arxiv.org/abs/2109.01993v1

    • [stat.ME]A Bayesian semi-parametric approach for modeling memory decay in dynamic social networks
    Giuseppe Arena, Joris Mulder, Roger Th. A. J. Leenders
    http://arxiv.org/abs/2109.01881v1

    • [stat.ME]A Q-Q plot aids interpretation of the False Discovery Rate
    N. W. Galwey
    http://arxiv.org/abs/2109.02118v1

    • [stat.ME]A Unified Approach to Hypothesis Testing for Functional Linear Models
    Yinan Lin, Zhenhua Lin
    http://arxiv.org/abs/2109.02309v1

    • [stat.ME]Bayesian Estimation of the Degrees of Freedom Parameter of the Student-今日学术视野(2021.9.8) - 图6 Distribution—-A Beneficial Re-parameterization
    Darjus Hosszejni
    http://arxiv.org/abs/2109.01726v1

    • [stat.ME]Confidence Distribution and Distribution Estimation for Modern Statistical Inference
    Yifan Cui, Min-ge Xie
    http://arxiv.org/abs/2109.01898v1

    • [stat.ME]Distributional Representation of Longitudinal Data: Visualization, Regression and Prediction
    Álvaro Gajardo, Xiongtao Dai, Hans-Georg Müller
    http://arxiv.org/abs/2109.02236v1

    • [stat.ME]Efficient Learning of Optimal Individualized Treatment Rules for Heteroscedastic or Misspecified Treatment-Free Effect Models
    Weibin Mo, Yufeng Liu
    http://arxiv.org/abs/2109.02570v1

    • [stat.ME]Estimation of individual causal effects in observational longitudinal studies
    Richard Post, Zhuozhao Zhan, Edwin van den Heuvel
    http://arxiv.org/abs/2109.02528v1

    • [stat.ME]Functional additive regression on shape and form manifolds of planar curves
    Almond Stöcker, Sonja Greven
    http://arxiv.org/abs/2109.02624v1

    • [stat.ME]Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding
    Naoki Egami, Eric J. Tchetgen Tchetgen
    http://arxiv.org/abs/2109.01933v1

    • [stat.ME]Making drawings speak through mathematical metrics
    Cédric Sueur, Lison Martinet, Benjamin Beltzung, Marie Pelé
    http://arxiv.org/abs/2109.02276v1

    • [stat.ME]On the extreme eigenvalues of the inverse Toeplitz matrix of the nonstationary autoregressive process and its applications to outlier estimation of panel time series
    Junho Yang
    http://arxiv.org/abs/2109.02204v1

    • [stat.ME]One-sample log-rank tests with consideration of reference curve sampling variability
    Jannik Feld, Moritz Fabian Danzer, Andreas Faldum, Rene Schmidt
    http://arxiv.org/abs/2109.02315v1

    • [stat.ME]Optimal transport weights for causal inference
    Eric Dunipace
    http://arxiv.org/abs/2109.01991v1

    • [stat.ME]Robust Narrowest Significance Pursuit: inference for multiple change-points in the median
    Piotr Fryzlewicz
    http://arxiv.org/abs/2109.02487v1

    • [stat.ME]Semiparametric Estimation of Treatment Effects in Randomized Experiments
    Susan Athey, Peter J. Bickel, Aiyou Chen, Guido W. Imbens, Michael Pollmann
    http://arxiv.org/abs/2109.02603v1

    • [stat.ME]Stochastic frailty models for modeling and forecasting mortality
    Søren Fiig Jarner
    http://arxiv.org/abs/2109.02584v1

    • [stat.ME]Unbiased Estimation of the Hessian for Partially Observed Diffusions
    Neil K. Chada, Ajay Jasra, Fangyuan Yu
    http://arxiv.org/abs/2109.02371v1

    • [stat.ME]Using Proxies to Improve Forecast Evaluation
    Hajo Holzmann, Bernhard Klar
    http://arxiv.org/abs/2109.02432v1

    • [stat.ML]A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
    Yehuda Dar, Vidya Muthukumar, Richard G. Baraniuk
    http://arxiv.org/abs/2109.02355v1

    • [stat.ML]Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows
    Nico Reick, Felix Wiewel, Alexander Bartler, Bin Yang
    http://arxiv.org/abs/2109.02521v1

    • [stat.ML]Learning Neural Causal Models with Active Interventions
    Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke
    http://arxiv.org/abs/2109.02429v1

    • [stat.ML]Non-Euclidean Analysis of Joint Variations in Multi-Object Shapes
    Zhiyuan Liu, Jörn Schulz, Mohsen Taheri, Martin Styner, James Damon, Stephen Pizer, J. S. Marron
    http://arxiv.org/abs/2109.02230v1

    • [stat.ML]Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning
    Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon
    http://arxiv.org/abs/2109.02150v1

    • [stat.ML]Scalable Feature Selection for (Multitask) Gradient Boosted Trees
    Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian
    http://arxiv.org/abs/2109.01965v1