astro-ph.IM - 仪器仪表和天体物理学方法

    cs.AI - 人工智能 cs.AR - 硬件体系结构 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.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.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 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 hep-ex - 高能物理实验 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.chem-ph -化学物理 physics.flu-dyn - 流体动力学 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.NC - 神经元与认知 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.IM]End-to-end Deep Learning Pipeline for Microwave Kinetic Inductance Detector (MKID) Resonator Identification and Tuning
    • [cs.AI]An Artificial Intelligence Framework for Bidding Optimization with Uncertainty inMultiple Frequency Reserve Markets
    • [cs.AI]Artificial Neural Network Modeling for Airline Disruption Management
    • [cs.AI]Constraint Programming to Discover One-Flip Local Optima of Quadratic Unconstrained Binary Optimization Problems
    • [cs.AI]DataOps for Societal Intelligence: a Data Pipeline for Labor Market Skills Extraction and Matching
    • [cs.AI]Influencing Reinforcement Learning through Natural Language Guidance
    • [cs.AI]Learning Description Logic Ontologies. Five Approaches. Where Do They Stand?
    • [cs.AI]Non-monotonic Value Function Factorization for Deep Multi-Agent Reinforcement Learning
    • [cs.AI]Probabilistic Programming Bots in Intuitive Physics Game Play
    • [cs.AI]Revisiting Indirect Ontology Alignment : New Challenging Issues in Cross-Lingual Context
    • [cs.AI]grASP: A Graph Based ASP-Solver and Justification System
    • [cs.AR]A Configurable BNN ASIC using a Network of Programmable Threshold Logic Standard Cells
    • [cs.AR]Modeling Gate-Level Abstraction Hierarchy Using Graph Convolutional Neural Networks to Predict Functional De-Rating Factors
    • [cs.CL]A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution
    • [cs.CL]A Conversational Agent System for Dietary Supplements Use
    • [cs.CL]A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News Articles
    • [cs.CL]A New Approach to Overgenerating and Scoring Abstractive Summaries
    • [cs.CL]ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Context
    • [cs.CL]Attention Forcing for Machine Translation
    • [cs.CL]Automating Transfer Credit Assessment in Student Mobility — A Natural Language Processing-based Approach
    • [cs.CL]BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification
    • [cs.CL]Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks
    • [cs.CL]Convex Aggregation for Opinion Summarization
    • [cs.CL]Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data
    • [cs.CL]Deep Neural Networks for Relation Extraction
    • [cs.CL]Dr-Vectors: Decision Residual Networks and an Improved Loss for Speaker Recognition
    • [cs.CL]Exploring Transformers in Emotion Recognition: a comparison of BERT, DistillBERT, RoBERTa, XLNet and ELECTRA
    • [cs.CL]Exploring the Role of BERT Token Representations to Explain Sentence Probing Results
    • [cs.CL]Few-Shot Keyword Spotting in Any Language
    • [cs.CL]Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGs
    • [cs.CL]FixMyPose: Pose Correctional Captioning and Retrieval
    • [cs.CL]From n-grams to trees in Lindenmayer systems
    • [cs.CL]Global Syntactic Variation in Seven Languages: Towards a Computational Dialectology
    • [cs.CL]IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection
    • [cs.CL]Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning
    • [cs.CL]Inference Time Style Control for Summarization
    • [cs.CL]Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems
    • [cs.CL]Intent detection and slot filling for Vietnamese
    • [cs.CL]KnowGraph@IITK at SemEval-2021 Task 11: Building KnowledgeGraph for NLP Research
    • [cs.CL]MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers
    • [cs.CL]Measuring Linguistic Diversity During COVID-19
    • [cs.CL]Mining Customers’ Opinions for Online Reputation Generation and Visualization in e-Commerce Platforms
    • [cs.CL]Multi-Unit Directional Measures of Association: Moving Beyond Pairs of Words
    • [cs.CL]On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR
    • [cs.CL]Paired Examples as Indirect Supervision in Latent Decision Models
    • [cs.CL]Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties
    • [cs.CL]ReCAM@IITK at SemEval-2021 Task 4: BERT and ALBERT based Ensemble for Abstract Word Prediction
    • [cs.CL]Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability
    • [cs.CL]Representations of Language Varieties Are Reliable Given Corpus Similarity Measures
    • [cs.CL]Rethinking Perturbations in Encoder-Decoders for Fast Training
    • [cs.CL]SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition
    • [cs.CL]Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English
    • [cs.CL]Talk, Don’t Write: A Study of Direct Speech-Based Image Retrieval
    • [cs.CL]Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers
    • [cs.CL]Towards Lifelong Learning of End-to-end ASR
    • [cs.CL]TransfoRNN: Capturing the Sequential Information in Self-Attention Representations for Language Modeling
    • [cs.CL]Type Prediction Systems
    • [cs.CL]Unsupervised Domain Adaptation with Global and Local Graph Neural Networks in Limited Labeled Data Scenario: Application to Disaster Management
    • [cs.CL]What’s the best place for an AI conference, Vancouver or _: Why completing comparative questions is difficult
    • [cs.CL]WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
    • [cs.CL]speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment
    • [cs.CR]Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming
    • [cs.CR]Mitigating Gradient-based Adversarial Attacks via Denoising and Compression
    • [cs.CR]Rejoinder: Gaussian Differential Privacy
    • [cs.CR]Semi-supervised Variational Temporal Convolutional Network for IoT Communication Multi-anomaly Detection
    • [cs.CV]”Forget” the Forget Gate: Estimating Anomalies in Videos using Self-contained Long Short-Term Memory Networks
    • [cs.CV]3D Human Body Reshaping with Anthropometric Modeling
    • [cs.CV]A Dual-Critic Reinforcement Learning Framework for Frame-level Bit Allocation in HEVC/H.265
    • [cs.CV]A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification
    • [cs.CV]Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
    • [cs.CV]Adversarial Attack in the Context of Self-driving
    • [cs.CV]Aggregated Contextual Transformations for High-Resolution Image Inpainting
    • [cs.CV]An Empirical Study of Training Self-Supervised Visual Transformers
    • [cs.CV]BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object Detection
    • [cs.CV]Branch-and-Pruning Optimization Towards Global Optimality in Deep Learning
    • [cs.CV]Can audio-visual integration strengthen robustness under multimodal attacks?
    • [cs.CV]Convolutional Neural Opacity Radiance Fields
    • [cs.CV]Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation
    • [cs.CV]Deepfake Detection Scheme Based on Vision Transformer and Distillation
    • [cs.CV]Distill and Fine-tune: Effective Adaptation from a Black-box Source Model
    • [cs.CV]Domain Generalization with MixStyle
    • [cs.CV]Few-Cost Salient Object Detection with Adversarial-Paced Learning
    • [cs.CV]Fingerspelling Detection in American Sign Language
    • [cs.CV]GSECnet: Ground Segmentation of Point Clouds for Edge Computing
    • [cs.CV]Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains
    • [cs.CV]Generation of Gradient-Preserving Images allowing HOG Feature Extraction
    • [cs.CV]Graph Contrastive Clustering
    • [cs.CV]Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification
    • [cs.CV]HLA-Face: Joint High-Low Adaptation for Low Light Face Detection
    • [cs.CV]Hierarchical Image Peeling: A Flexible Scale-space Filtering Framework
    • [cs.CV]Hierarchical Pyramid Representations for Semantic Segmentation
    • [cs.CV]High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion
    • [cs.CV]Hypercorrelation Squeeze for Few-Shot Segmentation
    • [cs.CV]Learning Mobile CNN Feature Extraction Toward Fast Computation of Visual Object Tracking
    • [cs.CV]Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis
    • [cs.CV]Lipstick ain’t enough: Beyond Color Matching for In-the-Wild Makeup Transfer
    • [cs.CV]MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
    • [cs.CV]MMBERT: Multimodal BERT Pretraining for Improved Medical VQA
    • [cs.CV]MOST: A Multi-Oriented Scene Text Detector with Localization Refinement
    • [cs.CV]MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition
    • [cs.CV]Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
    • [cs.CV]Multi-Atlas Based Pathological Stratification of d-TGA Congenital Heart Disease
    • [cs.CV]Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning
    • [cs.CV]OnTarget: An Electronic Archery Scoring
    • [cs.CV]PDWN: Pyramid Deformable Warping Network for Video Interpolation
    • [cs.CV]Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable Semantics
    • [cs.CV]Performance analysis of facial recognition: A critical review through glass factor
    • [cs.CV]Potential Convolution: Embedding Point Clouds into Potential Fields
    • [cs.CV]Reducing Racial Bias in Facial Age Prediction using Unsupervised Domain Adaptation in Regression
    • [cs.CV]Robust Trust Region for Weakly Supervised Segmentation
    • [cs.CV]SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction
    • [cs.CV]Scene Text Retrieval via Joint Text Detection and Similarity Learning
    • [cs.CV]TATL: Task Agnostic Transfer Learning for Skin Attributes Detection
    • [cs.CV]Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning
    • [cs.CV]Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes
    • [cs.CV]Uncertainty for Identifying Open-Set Errors in Visual Object Detection
    • [cs.CV]Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images
    • [cs.CY]Comparative analysis of the government plans of the Peruvian presidential candidates, SDO(UN) and State Policies of the National Agreement based on NLP
    • [cs.CY]Tokenising behaviour change: optimising blockchain technology for sustainable transport interventions
    • [cs.DB]Annotating Columns with Pre-trained Language Models
    • [cs.DC]FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance
    • [cs.DC]FedPandemic: A Cross-Device Federated Learning Approach Towards Elementary Prognosis of Diseases During a Pandemic
    • [cs.DC]Meta-level issues in Offloading: Scoping, Composition, Development, and their Automation
    • [cs.DC]Optimal Load Balancing and Assessment of Existing Load Balancing Criteria
    • [cs.DC]Zeus: Locality-aware Distributed Transactions
    • [cs.DL]Indonesian Journal of Applied Linguistics: A Bibliometric Portrait of Ten Publication Years
    • [cs.GT]Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
    • [cs.GT]When Can Liquid Democracy Unveil the Truth?
    • [cs.HC]A Design Process of Visual Analytics Applications using Conceptual Graph
    • [cs.HC]Designing for human-AI complementarity in K-12 education
    • [cs.HC]Older Adults and Brain-Computer Interface: An Exploratory Study
    • [cs.IR]Medical Entity Disambiguation Using Graph Neural Networks
    • [cs.IR]Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling
    • [cs.IT]A General Derivative Identity for the Conditional Mean Estimator in Gaussian Noise and Some Applications
    • [cs.IT]Adaptive Self-Interference Cancellation for Full-Duplex Wireless Communication Systems
    • [cs.IT]Channel Estimation for Intelligent Reflecting Surface Assisted Wireless Communications
    • [cs.IT]Covariance estimation under one-bit quantization
    • [cs.IT]Deep Learning-based Codebook Design for Code-domain Non-Orthogonal Multiple Access Achieving a Single-User Bit Error Rate Performance
    • [cs.IT]Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
    • [cs.IT]Direction-Based Jamming Detection and Suppression in mmWave Massive MIMO Networks
    • [cs.IT]Energetics of Feedback: Application to Memory Erasure
    • [cs.IT]Fast Channel Estimation in the Transformed Spatial Domain for Analog Millimeter Wave Systems
    • [cs.IT]Improving the Gilbert-Varshamov Bound by Graph Spectral Method
    • [cs.IT]Learning the CSI Recovery in FDD Systems
    • [cs.IT]Multi-RIS-aided Wireless Systems: Statistical Characterization and Performance Analysis
    • [cs.IT]Nonlinear Repair Schemes of Reed-Solomon Codes
    • [cs.IT]Optimal Selection for Good Polynomials of Degree up to Five
    • [cs.IT]Reinforcement Learning for Minimizing Age of Information in Real-time Internet of Things Systems with Realistic Physical Dynamics
    • [cs.IT]Simultaneously Transmitting And Reflecting (STAR) RIS Aided Wireless Communications
    • [cs.IT]Uplink Coverage in Heterogeneous mmWave Cellular Networks with Clustered Users
    • [cs.LG]A Large-scale Study on Unsupervised Outlier Model Selection: Evaluating the Internal Model Evaluation Strategies
    • [cs.LG]A contrastive rule for meta-learning
    • [cs.LG]A surrogate loss function for optimization of ![](https://g.yuque.com/gr/latex?F    %CE%B2#card=math&code=F_%CE%B2) score in binary classification with imbalanced data
    • [cs.LG]Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions
    • [cs.LG]Analyzing Flight Delay Prediction Under Concept Drift
    • [cs.LG]COHORTNEY: Deep Clustering for Heterogeneous Event Sequences
    • [cs.LG]COHORTNEY: Deep Clustering for Heterogeneous Event Sequences
    • [cs.LG]Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers
    • [cs.LG]Conformal testing in a binary model situation
    • [cs.LG]Decentralized Statistical Inference with Unrolled Graph Neural Networks
    • [cs.LG]Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses
    • [cs.LG]DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model
    • [cs.LG]ECRM: Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding
    • [cs.LG]Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
    • [cs.LG]Evaluating Explainable Artificial Intelligence Methods for Multi-label Deep Learning Classification Tasks in Remote Sensing
    • [cs.LG]Explainability-aided Domain Generalization for Image Classification
    • [cs.LG]Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond
    • [cs.LG]Fast Design Space Exploration of Nonlinear Systems: Part I
    • [cs.LG]Faster Convolution Inference Through Using Pre-Calculated Lookup Tables
    • [cs.LG]Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm
    • [cs.LG]Information-theoretic regularization for Multi-source Domain Adaptation
    • [cs.LG]Isconna: Streaming Anomaly Detection with Frequency and Patterns
    • [cs.LG]Joint Geometric and Topological Analysis of Hierarchical Datasets
    • [cs.LG]Misclassification-Aware Gaussian Smoothing improves Robustness against Domain Shifts
    • [cs.LG]Modeling Censored Mobility Demand through Quantile Regression Neural Networks
    • [cs.LG]Monte Carlo Simulation of SDEs using GANs
    • [cs.LG]Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning
    • [cs.LG]New Benchmarks for Learning on Non-Homophilous Graphs
    • [cs.LG]Optimal Query Complexity of Secure Stochastic Convex Optimization
    • [cs.LG]Optimal Sampling Gaps for Adaptive Submodular Maximization
    • [cs.LG]Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing
    • [cs.LG]Performance Evaluation of Machine Learning Techniques for DoS Detection in Wireless Sensor Network
    • [cs.LG]Predicting Mergers and Acquisitions using Graph-based Deep Learning
    • [cs.LG]Procrustean Training for Imbalanced Deep Learning
    • [cs.LG]Property-driven Training: All You (N)Ever Wanted to Know About
    • [cs.LG]Quantized Gromov-Wasserstein
    • [cs.LG]Random Features for the Neural Tangent Kernel
    • [cs.LG]Reliably fast adversarial training via latent adversarial perturbation
    • [cs.LG]SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems
    • [cs.LG]STOPPAGE: Spatio-temporal Data Driven Cloud-Fog-Edge Computing Framework for Pandemic Monitoring and Management
    • [cs.LG]Segmentation of EM showers for neutrino experiments with deep graph neural networks
    • [cs.LG]Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification
    • [cs.LG]Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation
    • [cs.LG]Towards Self-Adaptive Metric Learning On the Fly
    • [cs.LG]Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization
    • [cs.LG]Understanding Continual Learning Settings with Data Distribution Drift Analysis
    • [cs.LG]Unsupervised Multi-source Domain Adaptation Without Access to Source Data
    • [cs.LG]Urysohn Forest for Aleatoric Uncertainty Quantification
    • [cs.MA]City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling
    • [cs.NE]Golden Tortoise Beetle Optimizer: A Novel Nature-Inspired Meta-heuristic Algorithm for Engineering Problems
    • [cs.NE]Major Cooperative Transitions and Management Theory in the Game of Life
    • [cs.NI]Machine Learning Applications in the Routing in Computer Networks
    • [cs.RO]A DMP-based Framework for Efficiently Generating Complete Stiffness Profiles of Human-like Variable Impedance Skill from Demonstrations
    • [cs.RO]A Task-Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks
    • [cs.RO]Autonomous Driving Data Chain & Interfaces
    • [cs.RO]Conv1D Energy-Aware Path Planner for Mobile Robots in Unstructured Environments
    • [cs.RO]FABRIC: A Framework for the Design and Evaluation of Collaborative Robots with Extended Human Adaptation
    • [cs.RO]Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference
    • [cs.RO]Learning Linear Policies for Robust Bipedal Locomotion on Terrains with Varying Slopes
    • [cs.RO]Learning of Causal Observable Functions for Koopman-DFL Lifting Linearization of Nonlinear Controlled Systems and Its Application to Excavation Automation
    • [cs.RO]No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODE
    • [cs.RO]Perspective-corrected Spatial Referring Expression Generation for Human-Robot Interaction
    • [cs.RO]Probabilistic Collision Constraint for Motion Planning in Dynamic Environments
    • [cs.RO]Reinforcement Learning with Temporal Logic Constraints for Partially-Observable Markov Decision Processes
    • [cs.RO]Robotic Waste Sorter with Agile Manipulation and Quickly Trainable Detector
    • [cs.RO]Skyeye Team at MBZIRC 2020: A team of aerial and ground robots for GPS-denied autonomous fire extinguishing in an urban building scenario
    • [cs.RO]Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
    • [cs.RO]Towards Real-time Semantic RGB-D SLAM in Dynamic Environments
    • [cs.RO]Visual Servoing Approach for Autonomous UAV Landing on a Moving Vehicle
    • [cs.SD]AST: Audio Spectrogram Transformer
    • [cs.SD]Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition
    • [cs.SD]PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification
    • [cs.SD]StarGAN-based Emotional Voice Conversion for Japanese Phrases
    • [cs.SD]Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data
    • [cs.SE]Recommending Metamodel Concepts during Modeling Activities with Pre-Trained Language Models
    • [cs.SI]A Survey on Social-Physical Sensing
    • [cs.SI]Knowledge, Trust, Security and Covertness In Massively Distributed Social Platforms: An Epistemic Networks Approach
    • [cs.SI]Small World Student Network at the University of Texas at Dallas in Times of Social Distancing
    • [cs.SI]The Coronavirus is a Bioweapon: Analysing Coronavirus Fact-Checked Stories
    • [cs.SI]Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning
    • [econ.GN]Reddit’s Self-Organized Bull Runs
    • [eess.AS]Diff-TTS: A Denoising Diffusion Model for Text-to-Speech
    • [eess.AS]ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi
    • [eess.AS]Personalized Speech Enhancement through Self-Supervised Data Augmentation and Purification
    • [eess.AS]Self-Supervised Learning for Personalized Speech Enhancement
    • [eess.AS]TSNAT: Two-Step Non-Autoregressvie Transformer Models for Speech Recognition
    • [eess.IV]3D Convolutional Neural Networks for Stalled Brain Capillary Detection
    • [eess.IV]Adaptive Gradient Balancing for UndersampledMRI Reconstruction and Image-to-Image Translation
    • [eess.IV]Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients
    • [eess.IV]Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation
    • [eess.IV]Contrast-enhanced MRI Synthesis Using 3D High-Resolution ConvNets
    • [eess.IV]Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging
    • [eess.IV]FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images
    • [eess.IV]Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images
    • [eess.IV]MR-Contrast-Aware Image-to-Image Translations with Generative Adversarial Networks
    • [eess.IV]Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray
    • [eess.IV]Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods
    • [eess.IV]Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy
    • [eess.SP]A Federated Learning Framework for Non-Intrusive Load Monitoring
    • [eess.SP]An Energy-efficient Aerial Backhaul System with Reconfigurable Intelligent Surface
    • [eess.SP]Extraction of instantaneous frequencies and amplitudes in nonstationary time-series data
    • [eess.SP]Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure
    • [eess.SP]Sparse Code Multiple Access for 6G Wireless Communication Networks: Recent Advances and Future Directions
    • [eess.SY]Active Trajectory Estimation for Partially Observed Markov Decision Processes via Conditional Entropy
    • [eess.SY]Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks — A Novel Learning Algorithm and a Comparative Study
    • [eess.SY]Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins
    • [eess.SY]STL Robustness Risk over Discrete-Time Stochastic Processes
    • [hep-ex]Graph Generative Models for Fast Detector Simulations in High Energy Physics
    • [math.NA]Multilevel Stein variational gradient descent with applications to Bayesian inverse problems
    • [math.OC]Finite-Time Convergence Rates of Nonlinear Two-Time-Scale Stochastic Approximation under Markovian Noise
    • [math.PR]On the negative dependence inequalities and maximal score in round-robin tournament
    • [math.ST]An algebraic estimator for large spectral density matrices
    • [math.ST]D-optimal designs for the Mitscherlich non-linear regression function
    • [math.ST]Efficiency Lower Bounds for Distribution-Free Hotelling-Type Two-Sample Tests Based on Optimal Transport
    • [math.ST]Tukey Depths and Hamilton-Jacobi Differential Equations
    • [physics.chem-ph]Application of Neural Network Algorithm in Propylene Distillation
    • [physics.flu-dyn]CCSNet: a deep learning modeling suite for CO今日学术视野(2021.4.7) - 图1 storage
    • [physics.flu-dyn]Generalized Joint Probability Density Function Formulation inTurbulent Combustion using DeepONet
    • [physics.med-ph]IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
    • [physics.soc-ph]Data-driven Contact Network Models of COVID-19 Reveal Trade-offs between Costs and Infections for Optimal Local Containment Policies
    • [q-bio.GN]SimCD: Simultaneous Clustering and Differential expression analysis for single-cell transcriptomic data
    • [q-bio.NC]Explanatory models in neuroscience: Part 1 — taking mechanistic abstraction seriously
    • [q-bio.NC]Explanatory models in neuroscience: Part 2 — constraint-based intelligibility
    • [quant-ph]An upper bound on the Universality of the Quantum Approximate Optimization Algorithm
    • [quant-ph]From Classical to Quantum: Uniform Continuity Bounds on Entropies in Infinite Dimensions
    • [stat.AP]A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy
    • [stat.AP]Another Approximation of the First-Passage Time Densities for the Ratcliff Diffusion Decision Model
    • [stat.AP]ERStruct: An Eigenvalue Ratio Approach to Inferring Population Structure from Sequencing Data
    • [stat.AP]Filtering ASVs/OTUs via Mutual Information-Based Microbiome Network Analysis
    • [stat.AP]Social Media Integration of Flood Data: A Vine Copula-Based Approach
    • [stat.CO]Optimal Scaling of MCMC Beyond Metropolis
    • [stat.ME]A Generalized Unscented Transformation for Probability Distributions
    • [stat.ME]Adjusted composite likelihood for robust Bayesian meta-analysis
    • [stat.ME]An adaptive strategy for sequential designs of multilevel computer experiments
    • [stat.ME]Efficient Experimental Design for Regularized Linear Models
    • [stat.ME]Generalised Bayesian Structural Equation Modelling
    • [stat.ME]Optimal multiple testing and design in clinical trials
    • [stat.ME]Scalable algorithms for semiparametric accelerated failure time models in high dimensions
    • [stat.ME]Tailored Bayes: a risk modelling framework under unequal misclassification costs
    • [stat.ME]When the Oracle Misleads: Modeling the Consequences of Using Observable Rather than Potential Outcomes in Risk Assessment Instruments
    • [stat.ML]Generative Locally Linear Embedding
    • [stat.ML]Model Compression for Dynamic Forecast Combination
    • [stat.ML]Non-negative matrix and tensor factorisations with a smoothed Wasserstein loss
    • [stat.ML]Stopping Criterion for Active Learning Based on Error Stability
    • [stat.ML]Topological Data Analysis of Database Representations for Information Retrieval

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

    • [astro-ph.IM]End-to-end Deep Learning Pipeline for Microwave Kinetic Inductance Detector (MKID) Resonator Identification and Tuning
    Neelay Fruitwala, Alex B Walter, John I Bailey III, Rupert Dodkins, Benjamin A Mazin
    http://arxiv.org/abs/2104.01282v1

    • [cs.AI]An Artificial Intelligence Framework for Bidding Optimization with Uncertainty inMultiple Frequency Reserve Markets
    Thimal Kempitiyaa, Seppo Sierla, Daswin De Silvaa, Matti Yli-Ojanpera, Damminda Alahakoona, Valeriy Vyatkin
    http://arxiv.org/abs/2104.01865v1

    • [cs.AI]Artificial Neural Network Modeling for Airline Disruption Management
    Kolawole Ogunsina, Wendy A. Okolo
    http://arxiv.org/abs/2104.02032v1

    • [cs.AI]Constraint Programming to Discover One-Flip Local Optima of Quadratic Unconstrained Binary Optimization Problems
    Amit Verma, Mark Lewis
    http://arxiv.org/abs/2104.01709v1

    • [cs.AI]DataOps for Societal Intelligence: a Data Pipeline for Labor Market Skills Extraction and Matching
    Damian Andrew Tamburri, Willem-Jan Van den Heuvel, Martin Garriga
    http://arxiv.org/abs/2104.01966v1

    • [cs.AI]Influencing Reinforcement Learning through Natural Language Guidance
    Tasmia Tasrin, Md Sultan AL Nahian, Habarakadage Perera, Brent Harrison
    http://arxiv.org/abs/2104.01506v1

    • [cs.AI]Learning Description Logic Ontologies. Five Approaches. Where Do They Stand?
    Ana Ozaki
    http://arxiv.org/abs/2104.01193v1

    • [cs.AI]Non-monotonic Value Function Factorization for Deep Multi-Agent Reinforcement Learning
    Quanlin Chen
    http://arxiv.org/abs/2104.01939v1

    • [cs.AI]Probabilistic Programming Bots in Intuitive Physics Game Play
    Fahad Alhasoun, Sarah Alnegheimish, Joshua Tenenbaum
    http://arxiv.org/abs/2104.01980v1

    • [cs.AI]Revisiting Indirect Ontology Alignment : New Challenging Issues in Cross-Lingual Context
    Marouen Kachroudi
    http://arxiv.org/abs/2104.01628v1

    • [cs.AI]grASP: A Graph Based ASP-Solver and Justification System
    Fang Li, Huaduo Wang, Gopal Gupta
    http://arxiv.org/abs/2104.01190v1

    • [cs.AR]A Configurable BNN ASIC using a Network of Programmable Threshold Logic Standard Cells
    Ankit Wagle, Sunil Khatri, Sarma Vrudhula
    http://arxiv.org/abs/2104.01699v1

    • [cs.AR]Modeling Gate-Level Abstraction Hierarchy Using Graph Convolutional Neural Networks to Predict Functional De-Rating Factors
    Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Maksim Jenihhin
    http://arxiv.org/abs/2104.01812v1

    • [cs.CL]A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution
    Tuan Lai, Heng Ji, Trung Bui, Quan Hung Tran, Franck Dernoncourt, Walter Chang
    http://arxiv.org/abs/2104.01697v1

    • [cs.CL]A Conversational Agent System for Dietary Supplements Use
    Esha Singh, Anu Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov, Rui Zhang
    http://arxiv.org/abs/2104.01543v1

    • [cs.CL]A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News Articles
    Sourya Dipta Das, Ayan Basak, Saikat Dutta
    http://arxiv.org/abs/2104.01791v1

    • [cs.CL]A New Approach to Overgenerating and Scoring Abstractive Summaries
    Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu
    http://arxiv.org/abs/2104.01726v1

    • [cs.CL]ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Context
    Md. Ahsanul Kabir, Typer Phillips, Xiao Luo, Mohammad Al Hasan
    http://arxiv.org/abs/2104.01523v1

    • [cs.CL]Attention Forcing for Machine Translation
    Qingyun Dou, Yiting Lu, Potsawee Manakul, Xixin Wu, Mark J. F. Gales
    http://arxiv.org/abs/2104.01264v1

    • [cs.CL]Automating Transfer Credit Assessment in Student Mobility — A Natural Language Processing-based Approach
    Dhivya Chandrasekaran, Vijay Mago
    http://arxiv.org/abs/2104.01955v1

    • [cs.CL]BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification
    Ishani Mondal
    http://arxiv.org/abs/2104.01782v1

    • [cs.CL]Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks
    Endri Kacupaj, Joan Plepi, Kuldeep Singh, Harsh Thakkar, Jens Lehmann, Maria Maleshkova
    http://arxiv.org/abs/2104.01569v1

    • [cs.CL]Convex Aggregation for Opinion Summarization
    Hayate Iso, Xiaolan Wang, Yoshihiko Suhara, Stefanos Angelidis, Wang-Chiew Tan
    http://arxiv.org/abs/2104.01371v1

    • [cs.CL]Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data
    Akash Gangwar, Sabhay Jain, Shubham Sourav, Ashutosh Modi
    http://arxiv.org/abs/2104.01364v1

    • [cs.CL]Deep Neural Networks for Relation Extraction
    Tapas Nayak
    http://arxiv.org/abs/2104.01799v1

    • [cs.CL]Dr-Vectors: Decision Residual Networks and an Improved Loss for Speaker Recognition
    Jason Pelecanos, Quan Wang, Ignacio Lopez Moreno
    http://arxiv.org/abs/2104.01989v1

    • [cs.CL]Exploring Transformers in Emotion Recognition: a comparison of BERT, DistillBERT, RoBERTa, XLNet and ELECTRA
    Diogo Cortiz
    http://arxiv.org/abs/2104.02041v1

    • [cs.CL]Exploring the Role of BERT Token Representations to Explain Sentence Probing Results
    Hosein Mohebbi, Ali Modarressi, Mohammad Taher Pilehvar
    http://arxiv.org/abs/2104.01477v1

    • [cs.CL]Few-Shot Keyword Spotting in Any Language
    Mark Mazumder, Colby Banbury, Josh Meyer, Pete Warden, Vijay Janapa Reddi
    http://arxiv.org/abs/2104.01454v1

    • [cs.CL]Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGs
    Jonathan Dunn
    http://arxiv.org/abs/2104.01299v1

    • [cs.CL]FixMyPose: Pose Correctional Captioning and Retrieval
    Hyounghun Kim, Abhay Zala, Graham Burri, Mohit Bansal
    http://arxiv.org/abs/2104.01703v1

    • [cs.CL]From n-grams to trees in Lindenmayer systems
    Diego Gabriel Krivochen
    http://arxiv.org/abs/2104.01363v1

    • [cs.CL]Global Syntactic Variation in Seven Languages: Towards a Computational Dialectology
    Jonathan Dunn
    http://arxiv.org/abs/2104.01306v1

    • [cs.CL]IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection
    Archit Bansal, Abhay Kaushik, Ashutosh Modi
    http://arxiv.org/abs/2104.01566v1

    • [cs.CL]Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning
    Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu
    http://arxiv.org/abs/2104.01666v1

    • [cs.CL]Inference Time Style Control for Summarization
    Shuyang Cao, Lu Wang
    http://arxiv.org/abs/2104.01724v1

    • [cs.CL]Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems
    Akshat Gupta, Sai Krishna Rallabandi, Alan W Black
    http://arxiv.org/abs/2104.01287v1

    • [cs.CL]Intent detection and slot filling for Vietnamese
    Mai Hoang Dao, Thinh Hung Truong, Dat Quoc Nguyen
    http://arxiv.org/abs/2104.02021v1

    • [cs.CL]KnowGraph@IITK at SemEval-2021 Task 11: Building KnowledgeGraph for NLP Research
    Shashank Shailabh, Sajal Chaurasia, Ashutosh Modi
    http://arxiv.org/abs/2104.01619v1

    • [cs.CL]MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers
    Rohan Gupta, Jay Mundra, Deepak Mahajan, Ashutosh Modi
    http://arxiv.org/abs/2104.01567v1

    • [cs.CL]Measuring Linguistic Diversity During COVID-19
    Jonathan Dunn, Tom Coupe, Benjamin Adams
    http://arxiv.org/abs/2104.01290v1

    • [cs.CL]Mining Customers’ Opinions for Online Reputation Generation and Visualization in e-Commerce Platforms
    Abdessamad Benlahbib
    http://arxiv.org/abs/2104.01935v1

    • [cs.CL]Multi-Unit Directional Measures of Association: Moving Beyond Pairs of Words
    Jonathan Dunn
    http://arxiv.org/abs/2104.01297v1

    • [cs.CL]On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR
    Tsz Kin Lam, Mayumi Ohta, Shigehiko Schamoni, Stefan Riezler
    http://arxiv.org/abs/2104.01393v1

    • [cs.CL]Paired Examples as Indirect Supervision in Latent Decision Models
    Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth
    http://arxiv.org/abs/2104.01759v1

    • [cs.CL]Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties
    Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David Mortensen, Michael R. Marlo, Graham Neubig
    http://arxiv.org/abs/2104.01624v1

    • [cs.CL]ReCAM@IITK at SemEval-2021 Task 4: BERT and ALBERT based Ensemble for Abstract Word Prediction
    Abhishek Mittal, Ashutosh Modi
    http://arxiv.org/abs/2104.01563v1

    • [cs.CL]Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability
    Rui Liu, Berrak Sisman, Haizhou Li
    http://arxiv.org/abs/2104.01408v1

    • [cs.CL]Representations of Language Varieties Are Reliable Given Corpus Similarity Measures
    Jonathan Dunn
    http://arxiv.org/abs/2104.01294v1

    • [cs.CL]Rethinking Perturbations in Encoder-Decoders for Fast Training
    Sho Takase, Shun Kiyono
    http://arxiv.org/abs/2104.01853v1

    • [cs.CL]SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition
    Patrick K. O’Neill, Vitaly Lavrukhin, Somshubra Majumdar, Vahid Noroozi, Yuekai Zhang, Oleksii Kuchaiev, Jagadeesh Balam, Yuliya Dovzhenko, Keenan Freyberg, Michael D. Shulman, Boris Ginsburg, Shinji Watanabe, Georg Kucsko
    http://arxiv.org/abs/2104.02014v1

    • [cs.CL]Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English
    Imane Guellil, Ahsan Adeel, Faical Azouaou, Mohamed Boubred, Yousra Houichi, Akram Abdelhaq Moumna
    http://arxiv.org/abs/2104.01443v1

    • [cs.CL]Talk, Don’t Write: A Study of Direct Speech-Based Image Retrieval
    Ramon Sanabria, Austin Waters, Jason Baldridge
    http://arxiv.org/abs/2104.01894v1

    • [cs.CL]Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers
    Loren Lugosch, Piyush Papreja, Mirco Ravanelli, Abdelwahab Heba, Titouan Parcollet
    http://arxiv.org/abs/2104.01604v1

    • [cs.CL]Towards Lifelong Learning of End-to-end ASR
    Heng-Jui Chang, Hung-yi Lee, Lin-shan Lee
    http://arxiv.org/abs/2104.01616v1

    • [cs.CL]TransfoRNN: Capturing the Sequential Information in Self-Attention Representations for Language Modeling
    Tze Yuang Chong, Xuyang Wang, Lin Yang, Junjie Wang
    http://arxiv.org/abs/2104.01572v1

    • [cs.CL]Type Prediction Systems
    Sarthak Dash, Nandana Mihindukulasooriya, Alfio Gliozzo, Mustafa Canim
    http://arxiv.org/abs/2104.01207v1

    • [cs.CL]Unsupervised Domain Adaptation with Global and Local Graph Neural Networks in Limited Labeled Data Scenario: Application to Disaster Management
    Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar
    http://arxiv.org/abs/2104.01436v1

    • [cs.CL]What’s the best place for an AI conference, Vancouver or __: Why completing comparative questions is difficult
    Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen
    http://arxiv.org/abs/2104.01940v1

    • [cs.CL]WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
    Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan
    http://arxiv.org/abs/2104.01767v1

    • [cs.CL]speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment
    Junbo Zhang, Zhiwen Zhang, Yongqing Wang, Zhiyong Yan, Qiong Song, Yukai Huang, Ke Li, Daniel Povey, Yujun Wang
    http://arxiv.org/abs/2104.01378v1

    • [cs.CR]Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming
    Ziyue Huang, Yuan Qiu, Ke Yi, Graham Cormode
    http://arxiv.org/abs/2104.01808v1

    • [cs.CR]Mitigating Gradient-based Adversarial Attacks via Denoising and Compression
    Rehana Mahfuz, Rajeev Sahay, Aly El Gamal
    http://arxiv.org/abs/2104.01494v1

    • [cs.CR]Rejoinder: Gaussian Differential Privacy
    Jinshuo Dong, Aaron Roth, Weijie J. Su
    http://arxiv.org/abs/2104.01987v1

    • [cs.CR]Semi-supervised Variational Temporal Convolutional Network for IoT Communication Multi-anomaly Detection
    Yan Xu, Yongliang Cheng
    http://arxiv.org/abs/2104.01813v1

    • [cs.CV]“Forget” the Forget Gate: Estimating Anomalies in Videos using Self-contained Long Short-Term Memory Networks
    Habtamu Fanta, Zhiwen Shao, Lizhuang Ma
    http://arxiv.org/abs/2104.01478v1

    • [cs.CV]3D Human Body Reshaping with Anthropometric Modeling
    Yanhong Zeng, Jianlong Fu, Hongyang Chao
    http://arxiv.org/abs/2104.01762v1

    • [cs.CV]A Dual-Critic Reinforcement Learning Framework for Frame-level Bit Allocation in HEVC/H.265
    Yung-Han Ho, Guo-Lun Jin, Yun Liang, Wen-Hsiao Peng, Xiaobo Li
    http://arxiv.org/abs/2104.01735v1

    • [cs.CV]A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification
    Xuehu Liu, Pingping Zhang, Chenyang Yu, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang
    http://arxiv.org/abs/2104.01745v1

    • [cs.CV]Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
    Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, Joongkyu Kim
    http://arxiv.org/abs/2104.01893v1

    • [cs.CV]Adversarial Attack in the Context of Self-driving
    Zhenhua Chen, Chuhua Wang, David J. Crandall
    http://arxiv.org/abs/2104.01732v1

    • [cs.CV]Aggregated Contextual Transformations for High-Resolution Image Inpainting
    Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo
    http://arxiv.org/abs/2104.01431v1

    • [cs.CV]An Empirical Study of Training Self-Supervised Visual Transformers
    Xinlei Chen, Saining Xie, Kaiming He
    http://arxiv.org/abs/2104.02057v1

    • [cs.CV]BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object Detection
    Wenbo Zhang, Yao Jiang, Keren Fu, Qijun Zhao
    http://arxiv.org/abs/2104.01784v1

    • [cs.CV]Branch-and-Pruning Optimization Towards Global Optimality in Deep Learning
    Yuanwei Wu, Ziming Zhang, Guanghui Wang
    http://arxiv.org/abs/2104.01730v1

    • [cs.CV]Can audio-visual integration strengthen robustness under multimodal attacks?
    Yapeng Tian, Chenliang Xu
    http://arxiv.org/abs/2104.02000v1

    • [cs.CV]Convolutional Neural Opacity Radiance Fields
    Haimin Luo, Anpei Chen, Qixuan Zhang, Bai Pang, Minye Wu, Lan Xu, Jingyi Yu
    http://arxiv.org/abs/2104.01772v1

    • [cs.CV]Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation
    Yapeng Tian, Di Hu, Chenliang Xu
    http://arxiv.org/abs/2104.02026v1

    • [cs.CV]Deepfake Detection Scheme Based on Vision Transformer and Distillation
    Young-Jin Heo, Young-Ju Choi, Young-Woon Lee, Byung-Gyu Kim
    http://arxiv.org/abs/2104.01353v1

    • [cs.CV]Distill and Fine-tune: Effective Adaptation from a Black-box Source Model
    Jian Liang, Dapeng Hu, Ran He, Jiashi Feng
    http://arxiv.org/abs/2104.01539v1

    • [cs.CV]Domain Generalization with MixStyle
    Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang
    http://arxiv.org/abs/2104.02008v1

    • [cs.CV]Few-Cost Salient Object Detection with Adversarial-Paced Learning
    Dingwen Zhang, Haibin Tian, Jungong Han
    http://arxiv.org/abs/2104.01928v1

    • [cs.CV]Fingerspelling Detection in American Sign Language
    Bowen Shi, Diane Brentari, Greg Shakhnarovich, Karen Livescu
    http://arxiv.org/abs/2104.01291v1

    • [cs.CV]GSECnet: Ground Segmentation of Point Clouds for Edge Computing
    Dong He, Jie Cheng, Jong-Hwan Kim
    http://arxiv.org/abs/2104.01766v1

    • [cs.CV]Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains
    Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee
    http://arxiv.org/abs/2104.02052v1

    • [cs.CV]Generation of Gradient-Preserving Images allowing HOG Feature Extraction
    Masaki Kitayama, Hitoshi Kiya
    http://arxiv.org/abs/2104.01350v1

    • [cs.CV]Graph Contrastive Clustering
    Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua
    http://arxiv.org/abs/2104.01429v1

    • [cs.CV]Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification
    Shengcai Liao, Ling Shao
    http://arxiv.org/abs/2104.01546v1

    • [cs.CV]HLA-Face: Joint High-Low Adaptation for Low Light Face Detection
    Wenjing Wang, Wenhan Yang, Jiaying Liu
    http://arxiv.org/abs/2104.01984v1

    • [cs.CV]Hierarchical Image Peeling: A Flexible Scale-space Filtering Framework
    Fu Yuanbin, Guoxiaojie, Hu Qiming, Lin Di, Ma Jiayi, Ling Haibin
    http://arxiv.org/abs/2104.01534v1

    • [cs.CV]Hierarchical Pyramid Representations for Semantic Segmentation
    Hiroaki Aizawa, Yukihiro Domae, Kunihito Kato
    http://arxiv.org/abs/2104.01792v1

    • [cs.CV]High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion
    Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji
    http://arxiv.org/abs/2104.01530v1

    • [cs.CV]Hypercorrelation Squeeze for Few-Shot Segmentation
    Juhong Min, Dahyun Kang, Minsu Cho
    http://arxiv.org/abs/2104.01538v1

    • [cs.CV]Learning Mobile CNN Feature Extraction Toward Fast Computation of Visual Object Tracking
    Tsubasa Murate, Takashi Watanabe, Masaki Yamada
    http://arxiv.org/abs/2104.01381v1

    • [cs.CV]Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis
    Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-chun Zhu, Yingnian Wu
    http://arxiv.org/abs/2104.01508v1

    • [cs.CV]Lipstick ain’t enough: Beyond Color Matching for In-the-Wild Makeup Transfer
    Thao Nguyen, Anh Tran, Minh Hoai
    http://arxiv.org/abs/2104.01867v1

    • [cs.CV]MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
    Jia-Chang Feng, Fa-Ting Hong, Wei-Shi Zheng
    http://arxiv.org/abs/2104.01633v1

    • [cs.CV]MMBERT: Multimodal BERT Pretraining for Improved Medical VQA
    Yash Khare, Viraj Bagal, Minesh Mathew, Adithi Devi, U Deva Priyakumar, CV Jawahar
    http://arxiv.org/abs/2104.01394v1

    • [cs.CV]MOST: A Multi-Oriented Scene Text Detector with Localization Refinement
    Minghang He, Minghui Liao, Zhibo Yang, Humen Zhong, Jun Tang, Wenqing Cheng, Cong Yao, Yongpan Wang, Xiang Bai
    http://arxiv.org/abs/2104.01070v2

    • [cs.CV]MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition
    Ayan Kumar Bhunia, Shuvozit Ghose, Amandeep Kumar, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song
    http://arxiv.org/abs/2104.01876v1

    • [cs.CV]Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
    Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan
    http://arxiv.org/abs/2104.01797v1

    • [cs.CV]Multi-Atlas Based Pathological Stratification of d-TGA Congenital Heart Disease
    Maria A. Zuluaga, Alex F. Mendelson, M. Jorge Cardoso, Andrew M. Taylor, Sébastien Ourselin
    http://arxiv.org/abs/2104.01960v1

    • [cs.CV]Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning
    Haoran Wei, Qingbo Wu, Hui Li, King Ngi Ngan, Hongliang Li, Fanman Meng, Linfeng Xu
    http://arxiv.org/abs/2104.01888v1

    • [cs.CV]OnTarget: An Electronic Archery Scoring
    Andreea Danielescu
    http://arxiv.org/abs/2104.01622v1

    • [cs.CV]PDWN: Pyramid Deformable Warping Network for Video Interpolation
    Zhiqi Chen, Ran Wang, Haojie Liu, Yao Wang
    http://arxiv.org/abs/2104.01517v1

    • [cs.CV]Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable Semantics
    Jia-Wei Chen, Li-Ju Chen, Chia-Mu Yu, Chun-Shien Lu
    http://arxiv.org/abs/2104.01753v1

    • [cs.CV]Performance analysis of facial recognition: A critical review through glass factor
    Jiashu He
    http://arxiv.org/abs/2104.01536v1

    • [cs.CV]Potential Convolution: Embedding Point Clouds into Potential Fields
    Dengsheng Chen, Haowen Deng, Jun Li, Duo Li, Yao Duan, Kai Xu
    http://arxiv.org/abs/2104.01754v1

    • [cs.CV]Reducing Racial Bias in Facial Age Prediction using Unsupervised Domain Adaptation in Regression
    Apoorva Gokhale, Astuti Sharma, Kaustav Datta, Savyasachi
    http://arxiv.org/abs/2104.01781v1

    • [cs.CV]Robust Trust Region for Weakly Supervised Segmentation
    Dmitrii Marin, Yuri Boykov
    http://arxiv.org/abs/2104.01948v1

    • [cs.CV]SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction
    Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, Gang Hua
    http://arxiv.org/abs/2104.01528v1

    • [cs.CV]Scene Text Retrieval via Joint Text Detection and Similarity Learning
    Hao Wang, Xiang Bai, Mingkun Yang, Shenggao Zhu, Jing Wang, Wenyu Liu
    http://arxiv.org/abs/2104.01552v1

    • [cs.CV]TATL: Task Agnostic Transfer Learning for Skin Attributes Detection
    Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag
    http://arxiv.org/abs/2104.01641v1

    • [cs.CV]Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning
    Chaoqun Wang, Xuejin Chen, Shaobo Min, Xiaoyan Sun, Houqiang Li
    http://arxiv.org/abs/2104.01832v1

    • [cs.CV]Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes
    Zhihang Zhong, Yinqiang Zheng, Imari Sato
    http://arxiv.org/abs/2104.01601v1

    • [cs.CV]Uncertainty for Identifying Open-Set Errors in Visual Object Detection
    Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
    http://arxiv.org/abs/2104.01328v1

    • [cs.CV]Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images
    Xinggang Wang, Jiapei Feng, Bin Hu, Qi Ding, Longjin Ran, Xiaoxin Chen, Wenyu Liu
    http://arxiv.org/abs/2104.01526v1

    • [cs.CY]Comparative analysis of the government plans of the Peruvian presidential candidates, SDO(UN) and State Policies of the National Agreement based on NLP
    Honorio Apaza Alanoca, Josimar Chire, Jimy Oblitas
    http://arxiv.org/abs/2104.01765v1

    • [cs.CY]Tokenising behaviour change: optimising blockchain technology for sustainable transport interventions
    Iain Barclay, Michael Cooper, Alun Preece, Omer Rana, Ian Taylor
    http://arxiv.org/abs/2104.01852v1

    • [cs.DB]Annotating Columns with Pre-trained Language Models
    Yoshihiko Suhara, Jinfeng Li, Yuliang Li, Dan Zhang, Çağatay Demiralp, Chen Chen, Wang-Chiew Tan
    http://arxiv.org/abs/2104.01785v1

    • [cs.DC]FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance
    Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen
    http://arxiv.org/abs/2104.00897v2

    • [cs.DC]FedPandemic: A Cross-Device Federated Learning Approach Towards Elementary Prognosis of Diseases During a Pandemic
    Aman Priyanshu, Rakshit Naidu
    http://arxiv.org/abs/2104.01864v1

    • [cs.DC]Meta-level issues in Offloading: Scoping, Composition, Development, and their Automation
    André DeHon, Hans Giesen, Nik Sultana, Yuanlong Xiao
    http://arxiv.org/abs/2104.01929v1

    • [cs.DC]Optimal Load Balancing and Assessment of Existing Load Balancing Criteria
    Anthony Boulmier, Nabil Abdennadher, Bastien Chopard
    http://arxiv.org/abs/2104.01688v1

    • [cs.DC]Zeus: Locality-aware Distributed Transactions
    Antonios Katsarakis, Yijun Ma, Zhaowei Tan, Andrew Bainbridge, Matthew Balkwill, Aleksandar Dragojevic, Boris Grot, Bozidar Radunovic, Yongguang Zhang
    http://arxiv.org/abs/2104.01327v1

    • [cs.DL]Indonesian Journal of Applied Linguistics: A Bibliometric Portrait of Ten Publication Years
    Abdul Syahid
    http://arxiv.org/abs/2104.01800v1

    • [cs.GT]Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
    Gabriele Farina, Andrea Celli, Alberto Marchesi, Nicola Gatti
    http://arxiv.org/abs/2104.01520v1

    • [cs.GT]When Can Liquid Democracy Unveil the Truth?
    Ruben Becker, Gianlorenzo D’Angelo, Esmaeil Delfaraz, Hugo Gilbert
    http://arxiv.org/abs/2104.01828v1

    • [cs.HC]A Design Process of Visual Analytics Applications using Conceptual Graph
    Lei Shi
    http://arxiv.org/abs/2104.01420v1

    • [cs.HC]Designing for human-AI complementarity in K-12 education
    Kenneth Holstein, Vincent Aleven
    http://arxiv.org/abs/2104.01266v1

    • [cs.HC]Older Adults and Brain-Computer Interface: An Exploratory Study
    Wiesław Kopeć, Jarosław Kowalski, Julia Paluch, Anna Jaskulska, Kinga Skorupska, Marcin Niewiński, Maciej Krzywicki, Cezary Biele
    http://arxiv.org/abs/2104.02046v1

    • [cs.IR]Medical Entity Disambiguation Using Graph Neural Networks
    Alina Vretinaris, Chuan Lei, Vasilis Efthymiou, Xiao Qin, Fatma Özcan
    http://arxiv.org/abs/2104.01488v1

    • [cs.IR]Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling
    Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang
    http://arxiv.org/abs/2104.01716v1

    • [cs.IT]A General Derivative Identity for the Conditional Mean Estimator in Gaussian Noise and Some Applications
    Alex Dytso, H. Vincent Poor, Shlomo Shamai
    http://arxiv.org/abs/2104.01883v1

    • [cs.IT]Adaptive Self-Interference Cancellation for Full-Duplex Wireless Communication Systems
    Elyes Balti, Brian L. Evans
    http://arxiv.org/abs/2104.01504v1

    • [cs.IT]Channel Estimation for Intelligent Reflecting Surface Assisted Wireless Communications
    Mangqing Guo, M. Cenk Gursoy
    http://arxiv.org/abs/2104.01221v1

    • [cs.IT]Covariance estimation under one-bit quantization
    Sjoerd Dirksen, Johannes Maly, Holger Rauhut
    http://arxiv.org/abs/2104.01280v1

    • [cs.IT]Deep Learning-based Codebook Design for Code-domain Non-Orthogonal Multiple Access Achieving a Single-User Bit Error Rate Performance
    Minsig Han, Hanchang Seo, Ameha Tsegaye Abebe, Chung G. Kang
    http://arxiv.org/abs/2104.00818v2

    • [cs.IT]Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
    Muhammad Shehab, Bekir S. Ciftler, Tamer Khattab, Mohamed Abdallah, Daniele Trinchero
    http://arxiv.org/abs/2104.01414v1

    • [cs.IT]Direction-Based Jamming Detection and Suppression in mmWave Massive MIMO Networks
    Saeed Bagherinejad1, S. Mohammad Razavizadeh
    http://arxiv.org/abs/2104.01856v1

    • [cs.IT]Energetics of Feedback: Application to Memory Erasure
    Harish Doddi, Saurav Talukdar, Murti Salapaka
    http://arxiv.org/abs/2104.01341v1

    • [cs.IT]Fast Channel Estimation in the Transformed Spatial Domain for Analog Millimeter Wave Systems
    Sandra Roger, Maximo Cobos, Carmen Botella-Mascarell, Gabor Fodor
    http://arxiv.org/abs/2104.01857v1

    • [cs.IT]Improving the Gilbert-Varshamov Bound by Graph Spectral Method
    Zicheng Ye, Huazi Zhang, Rong Li, Jun Wang, Guiying Yan, Zhiming Ma
    http://arxiv.org/abs/2104.01403v1

    • [cs.IT]Learning the CSI Recovery in FDD Systems
    Wolfgang Utschick, Valentina Rizzello, Michael Joham, Zhengxiang Ma, Leonard Piazzi
    http://arxiv.org/abs/2104.01322v1

    • [cs.IT]Multi-RIS-aided Wireless Systems: Statistical Characterization and Performance Analysis
    Tri Nhu Do, Georges Kaddoum, Thanh Luan Nguyen, Daniel Benevides da Costa, Zygmunt J. Haas
    http://arxiv.org/abs/2104.01912v1

    • [cs.IT]Nonlinear Repair Schemes of Reed-Solomon Codes
    Roni Con, Itzhak Tamo
    http://arxiv.org/abs/2104.01652v1

    • [cs.IT]Optimal Selection for Good Polynomials of Degree up to Five
    Austin Dukes, Andrea Ferraguti, Giacomo Micheli
    http://arxiv.org/abs/2104.01434v1

    • [cs.IT]Reinforcement Learning for Minimizing Age of Information in Real-time Internet of Things Systems with Realistic Physical Dynamics
    Sihua Wang, Mingzhe Chen, Zhaohui Yang, Changchuan Yin, Walid Saad, Shuguang Cui, H. Vincent Poor
    http://arxiv.org/abs/2104.01527v1

    • [cs.IT]Simultaneously Transmitting And Reflecting (STAR) RIS Aided Wireless Communications
    Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Robert Schober
    http://arxiv.org/abs/2104.01421v1

    • [cs.IT]Uplink Coverage in Heterogeneous mmWave Cellular Networks with Clustered Users
    Xueyuan Wang, M. Cenk Gursoy
    http://arxiv.org/abs/2104.01447v1

    • [cs.LG]A Large-scale Study on Unsupervised Outlier Model Selection: Evaluating the Internal Model Evaluation Strategies
    Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu
    http://arxiv.org/abs/2104.01422v1

    • [cs.LG]A contrastive rule for meta-learning
    Nicolas Zucchet, Simon Schug, Johannes von Oswald, Dominic Zhao, João Sacramento
    http://arxiv.org/abs/2104.01677v1

    • [cs.LG]A surrogate loss function for optimization of 今日学术视野(2021.4.7) - 图2 score in binary classification with imbalanced data
    Namgil Lee, Heejung Yang, Hojin Yoo
    http://arxiv.org/abs/2104.01459v1

    • [cs.LG]Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions
    Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas D. Lane
    http://arxiv.org/abs/2104.01481v1

    • [cs.LG]Analyzing Flight Delay Prediction Under Concept Drift
    Lucas Giusti, Leonardo Carvalho, Antonio Tadeu Gomes, Rafaelli Coutinho, Jorge Soares, Eduardo Ogasawara
    http://arxiv.org/abs/2104.01720v1

    • [cs.LG]COHORTNEY: Deep Clustering for Heterogeneous Event Sequences
    Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev
    http://arxiv.org/abs/210
    9ca
    4.01440v1
    9ca
    4.01440v1)

    • [cs.LG]COHORTNEY: Deep Clustering for Heterogeneous Event Sequences
    Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev
    http://arxiv.org/abs/2104.01440v1

    • [cs.LG]Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers
    Sobirdzhon Bobiev, Adil Khan, Syed Muhammad Ahsan Raza Kazmi
    http://arxiv.org/abs/2104.01577v1

    • [cs.LG]Conformal testing in a binary model situation
    Vladimir Vovk
    http://arxiv.org/abs/2104.01885v1

    • [cs.LG]Decentralized Statistical Inference with Unrolled Graph Neural Networks
    He Wang, Yifei Shen, Ziyuan Wang, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Jie Lu
    http://arxiv.org/abs/2104.01555v1

    • [cs.LG]Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses
    Yao Deng, Tiehua Zhang, Guannan Lou, Xi Zheng, Jiong Jin, Qing-Long Han
    http://arxiv.org/abs/2104.01789v1

    • [cs.LG]DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model
    Ling Chen, Hongyu Shi
    http://arxiv.org/abs/2104.01924v1

    • [cs.LG]ECRM: Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding
    Kaige Liu, Jack Kosaian, K. V. Rashmi
    http://arxiv.org/abs/2104.01981v1

    • [cs.LG]Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
    Emilio Parisotto, Ruslan Salakhutdinov
    http://arxiv.org/abs/2104.01655v1

    • [cs.LG]Evaluating Explainable Artificial Intelligence Methods for Multi-label Deep Learning Classification Tasks in Remote Sensing
    Ioannis Kakogeorgiou, Konstantinos Karantzalos
    http://arxiv.org/abs/2104.01375v1

    • [cs.LG]Explainability-aided Domain Generalization for Image Classification
    Robin M. Schmidt
    http://arxiv.org/abs/2104.01742v1

    • [cs.LG]Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond
    Negin Majidi, Ehsan Amid, Hossein Talebi, Manfred K. Warmuth
    http://arxiv.org/abs/2104.01493v1

    • [cs.LG]Fast Design Space Exploration of Nonlinear Systems: Part I
    Sanjai Narain, Emily Mak, Dana Chee, Brendan Englot, Kishore Pochiraju, Niraj K. Jha, Karthik Narayan
    http://arxiv.org/abs/2104.01747v1

    • [cs.LG]Faster Convolution Inference Through Using Pre-Calculated Lookup Tables
    Grigor Gatchev, Valentin Mollov
    http://arxiv.org/abs/2104.01681v1

    • [cs.LG]Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm
    Alan J. X. Guo, Qing-Hu Hou, Ou Wu
    http://arxiv.org/abs/2104.01848v1

    • [cs.LG]Information-theoretic regularization for Multi-source Domain Adaptation
    Geon Yeong Park, Sang Wan Lee
    http://arxiv.org/abs/2104.01568v1

    • [cs.LG]Isconna: Streaming Anomaly Detection with Frequency and Patterns
    Rui Liu, Siddharth Bhatia, Bryan Hooi
    http://arxiv.org/abs/2104.01632v1

    • [cs.LG]Joint Geometric and Topological Analysis of Hierarchical Datasets
    Lior Aloni, Omer Bobrowski, Ronen Talmon
    http://arxiv.org/abs/2104.01395v1

    • [cs.LG]Misclassification-Aware Gaussian Smoothing improves Robustness against Domain Shifts
    Athanasios Tsiligkaridis, Theodoros Tsiligkaridis
    http://arxiv.org/abs/2104.01231v1

    • [cs.LG]Modeling Censored Mobility Demand through Quantile Regression Neural Networks
    Inon Peled, Filipe Rodrigues, Francisco C. Pereira
    http://arxiv.org/abs/2104.01214v1

    • [cs.LG]Monte Carlo Simulation of SDEs using GANs
    Jorino van Rhijn, Cornelis W. Oosterlee, Lech A. Grzelak, Shuaiqiang Liu
    http://arxiv.org/abs/2104.01437v1

    • [cs.LG]Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning
    Jeong Min Lee, Milos Hauskrecht
    http://arxiv.org/abs/2104.01787v1

    • [cs.LG]New Benchmarks for Learning on Non-Homophilous Graphs
    Derek Lim, Xiuyu Li, Felix Hohne, Ser-Nam Lim
    http://arxiv.org/abs/2104.01404v1

    • [cs.LG]Optimal Query Complexity of Secure Stochastic Convex Optimization
    Wei Tang, Chien-Ju Ho, Yang Liu
    http://arxiv.org/abs/2104.01926v1

    • [cs.LG]Optimal Sampling Gaps for Adaptive Submodular Maximization
    Shaojie Tang, Jing Yuan
    http://arxiv.org/abs/2104.01750v1

    • [cs.LG]Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing
    Mohammad Mahdi Kamani, Rana Forsati, James Z. Wang, Mehrdad Mahdavi
    http://arxiv.org/abs/2104.01634v1

    • [cs.LG]Performance Evaluation of Machine Learning Techniques for DoS Detection in Wireless Sensor Network
    Lama Alsulaiman, Saad Al-Ahmadi
    http://arxiv.org/abs/2104.01963v1

    • [cs.LG]Predicting Mergers and Acquisitions using Graph-based Deep Learning
    Keenan Venuti
    http://arxiv.org/abs/2104.01757v1

    • [cs.LG]Procrustean Training for Imbalanced Deep Learning
    Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao
    http://arxiv.org/abs/2104.01769v1

    • [cs.LG]Property-driven Training: All You (N)Ever Wanted to Know About
    Marco Casadio, Matthew Daggitt, Ekaterina Komendantskaya, Wen Kokke, Daniel Kienitz, Rob Stewart
    http://arxiv.org/abs/2104.01396v1

    • [cs.LG]Quantized Gromov-Wasserstein
    Samir Chowdhury, David Miller, Tom Needham
    http://arxiv.org/abs/2104.02013v1

    • [cs.LG]Random Features for the Neural Tangent Kernel
    Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin
    http://arxiv.org/abs/2104.01351v1

    • [cs.LG]Reliably fast adversarial training via latent adversarial perturbation
    Geon Yeong Park, Sang Wan Lee
    http://arxiv.org/abs/2104.01575v1

    • [cs.LG]SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems
    Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Zohar Feldman, Christian Daniel, Dotan Di Castro
    http://arxiv.org/abs/2104.01646v1

    • [cs.LG]STOPPAGE: Spatio-temporal Data Driven Cloud-Fog-Edge Computing Framework for Pandemic Monitoring and Management
    Shreya Ghosh, Anwesha Mukherjee, Soumya K Ghosh, Rajkumar Buyya
    http://arxiv.org/abs/2104.01600v1

    • [cs.LG]Segmentation of EM showers for neutrino experiments with deep graph neural networks
    Vladislav Belavin, Ekaterina Trofimova, Andrey Ustyuzhanin
    http://arxiv.org/abs/2104.02040v1

    • [cs.LG]Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification
    Hossein Moosaei, Ahmad Mousavi, Milan Hladík, Zheming Gao
    http://arxiv.org/abs/2104.01331v1

    • [cs.LG]Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation
    Xizi Chen, Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui
    http://arxiv.org/abs/2104.01303v1

    • [cs.LG]Towards Self-Adaptive Metric Learning On the Fly
    Yang Gao, Yi-Fan Li, Swarup Chandra, Latifur Khan, Bhavani Thuraisingham
    http://arxiv.org/abs/2104.01495v1

    • [cs.LG]Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization
    Edgar A. Bernal
    http://arxiv.org/abs/2104.01482v1

    • [cs.LG]Understanding Continual Learning Settings with Data Distribution Drift Analysis
    Timothée Lesort, Massimo Caccia, Irina Rish
    http://arxiv.org/abs/2104.01678v1

    • [cs.LG]Unsupervised Multi-source Domain Adaptation Without Access to Source Data
    Sk Miraj Ahmed, Dripta S. Raychaudhuri, Sujoy Paul, Samet Oymak, Amit K. Roy-Chowdhury
    http://arxiv.org/abs/2104.01845v1

    • [cs.LG]Urysohn Forest for Aleatoric Uncertainty Quantification
    Andrew Polar, Michael Poluektov
    http://arxiv.org/abs/2104.01714v1

    • [cs.MA]City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling
    Gaurav Suryawanshi, Varun Madhavan, Adway Mitra, Partha Pratim Chakrabarti
    http://arxiv.org/abs/2104.01650v1

    • [cs.NE]Golden Tortoise Beetle Optimizer: A Novel Nature-Inspired Meta-heuristic Algorithm for Engineering Problems
    Omid Tarkhaneh, Neda Alipour, Amirahmad Chapnevis, Haifeng Shen
    http://arxiv.org/abs/2104.01521v1

    • [cs.NE]Major Cooperative Transitions and Management Theory in the Game of Life
    Peter D. Turney
    http://arxiv.org/abs/2104.01242v1

    • [cs.NI]Machine Learning Applications in the Routing in Computer Networks
    Ke Liang, Mitchel Myers
    http://arxiv.org/abs/2104.01946v1

    • [cs.RO]A DMP-based Framework for Efficiently Generating Complete Stiffness Profiles of Human-like Variable Impedance Skill from Demonstrations
    Yan Zhang, Fei Zhao, Zhiwei Liao
    http://arxiv.org/abs/2104.01324v1

    • [cs.RO]A Task-Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks
    Hossein Karami, Antony Thomas, Fulvio Mastrogiovanni
    http://arxiv.org/abs/2104.01549v1

    • [cs.RO]Autonomous Driving Data Chain & Interfaces
    Benjamin Kahl
    http://arxiv.org/abs/2104.01252v1

    • [cs.RO]Conv1D Energy-Aware Path Planner for Mobile Robots in Unstructured Environments
    Marco Visca, Arthur Bouton, Roger Powell, Yang Gao, Saber Fallah
    http://arxiv.org/abs/2104.01560v1

    • [cs.RO]FABRIC: A Framework for the Design and Evaluation of Collaborative Robots with Extended Human Adaptation
    O. Can Görür, Benjamin Rosman, Fikret Sivrikaya, Sahin Albayrak
    http://arxiv.org/abs/2104.01976v1

    • [cs.RO]Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference
    Mohamed Baioumy, Corrado Pezzato, Riccardo Ferrari, Carlos Hernandez Corbato, Nick Hawes
    http://arxiv.org/abs/2104.01817v1

    • [cs.RO]Learning Linear Policies for Robust Bipedal Locomotion on Terrains with Varying Slopes
    Lokesh Krishna, Utkarsh A. Mishra, Guillermo A. Castillo, Ayonga Hereid, Shishir Kolathaya
    http://arxiv.org/abs/2104.01662v1

    • [cs.RO]Learning of Causal Observable Functions for Koopman-DFL Lifting Linearization of Nonlinear Controlled Systems and Its Application to Excavation Automation
    Nicholas S. Selby, H. Harry Asada
    http://arxiv.org/abs/2104.02004v1

    • [cs.RO]No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODE
    HaoChih Lin, Baopu Li, Xin Zhou, Jiankun Wang, Max Q. -H. Meng
    http://arxiv.org/abs/2104.01390v1

    • [cs.RO]Perspective-corrected Spatial Referring Expression Generation for Human-Robot Interaction
    Mingjiang Liu, Chengli Xiao, Chunlin Chen
    http://arxiv.org/abs/2104.01558v1

    • [cs.RO]Probabilistic Collision Constraint for Motion Planning in Dynamic Environments
    Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
    http://arxiv.org/abs/2104.01659v1

    • [cs.RO]Reinforcement Learning with Temporal Logic Constraints for Partially-Observable Markov Decision Processes
    Yu Wang, Alper Kamil Bozkurt, Miroslav Pajic
    http://arxiv.org/abs/2104.01612v1

    • [cs.RO]Robotic Waste Sorter with Agile Manipulation and Quickly Trainable Detector
    Takuya Kiyokawa, Hiroki Katayama, Yuya Tatsuta, Jun Takamatsu, Tsukasa Ogasawara
    http://arxiv.org/abs/2104.01260v1

    • [cs.RO]Skyeye Team at MBZIRC 2020: A team of aerial and ground robots for GPS-denied autonomous fire extinguishing in an urban building scenario
    Simon Martinez-Rozas, Rafael Rey, David Alejo, Domingo Acedo, Jose Antonio Cobano, Alejandro Rodriguez-Ramos, Pascual Campoy, Luis Merino, Fernando Caballero
    http://arxiv.org/abs/2104.01834v1

    • [cs.RO]Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
    Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yuke Zhu
    http://arxiv.org/abs/2104.01542v1

    • [cs.RO]Towards Real-time Semantic RGB-D SLAM in Dynamic Environments
    Tete Ji, Chen Wang, Lihua Xie
    http://arxiv.org/abs/2104.01316v1

    • [cs.RO]Visual Servoing Approach for Autonomous UAV Landing on a Moving Vehicle
    Azarakhsh Keipour, Guilherme A. S. Pereira, Rogerio Bonatti, Rohit Garg, Puru Rastogi, Geetesh Dubey, Sebastian Scherer
    http://arxiv.org/abs/2104.01272v1

    • [cs.SD]AST: Audio Spectrogram Transformer
    Yuan Gong, Yu-An Chung, James Glass
    http://arxiv.org/abs/2104.01778v1

    • [cs.SD]Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition
    Haoqi Li, Yelin Kim, Cheng-Hao Kuo, Shrikanth Narayanan
    http://arxiv.org/abs/2104.01978v1

    • [cs.SD]PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification
    Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
    http://arxiv.org/abs/2104.01271v1

    • [cs.SD]StarGAN-based Emotional Voice Conversion for Japanese Phrases
    Asuka Moritani, Ryo Ozaki, Shoki Sakamoto, Hirokazu Kameoka, Tadahiro Taniguchi
    http://arxiv.org/abs/2104.01807v1

    • [cs.SD]Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data
    Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo
    http://arxiv.org/abs/2104.02005v1

    • [cs.SE]Recommending Metamodel Concepts during Modeling Activities with Pre-Trained Language Models
    Martin Weyssow, Houari Sahraoui, Eugene Syriani
    http://arxiv.org/abs/2104.01642v1

    • [cs.SI]A Survey on Social-Physical Sensing
    Md Tahmid Rashid, Na Wei, Dong Wang
    http://arxiv.org/abs/2104.01360v1

    • [cs.SI]Knowledge, Trust, Security and Covertness In Massively Distributed Social Platforms: An Epistemic Networks Approach
    Mihnea C. Moldoveanu, Joel A. C. Baum
    http://arxiv.org/abs/2104.01197v1

    • [cs.SI]Small World Student Network at the University of Texas at Dallas in Times of Social Distancing
    Kailash Subramanian, Joshua M. Williams, Daniel C. DeAnda, Aditya A. Agrawal, Andrei Racila, Aditi R. Prabhu, Lawrence Redlinger, Christopher Wendt, Ravi Prakash
    http://arxiv.org/abs/2104.01261v1

    • [cs.SI]The Coronavirus is a Bioweapon: Analysing Coronavirus Fact-Checked Stories
    Lynnette Hui Xian Ng, Kathleen M. Carley
    http://arxiv.org/abs/2104.01215v1

    • [cs.SI]Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning
    Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
    http://arxiv.org/abs/2104.01711v1

    • [econ.GN]Reddit’s Self-Organized Bull Runs
    Valentina Semenova, Julian Winkler
    http://arxiv.org/abs/2104.01847v1

    • [eess.AS]Diff-TTS: A Denoising Diffusion Model for Text-to-Speech
    Myeonghun Jeong, Hyeongju Kim, Sung Jun Cheon, Byoung Jin Choi, Nam Soo Kim
    http://arxiv.org/abs/2104.01409v1

    • [eess.AS]ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi
    Yu Wang, Chee Siang Leow, Akio Kobayashi, Takehito Utsuro, Hiromitsu Nishizaki
    http://arxiv.org/abs/2104.01384v1

    • [eess.AS]Personalized Speech Enhancement through Self-Supervised Data Augmentation and Purification
    Aswin Sivaraman, Sunwoo Kim, Minje Kim
    http://arxiv.org/abs/2104.02018v1

    • [eess.AS]Self-Supervised Learning for Personalized Speech Enhancement
    Aswin Sivaraman, Minje Kim
    http://arxiv.org/abs/2104.02017v1

    • [eess.AS]TSNAT: Two-Step Non-Autoregressvie Transformer Models for Speech Recognition
    Zhengkun Tian, Jiangyan Yi, Jianhua Tao, Ye Bai, Shuai Zhang, Zhengqi Wen, Xuefei Liu
    http://arxiv.org/abs/2104.01522v1

    • [eess.IV]3D Convolutional Neural Networks for Stalled Brain Capillary Detection
    Roman Solovyev, Alexandr A. Kalinin, Tatiana Gabruseva
    http://arxiv.org/abs/2104.01687v1

    • [eess.IV]Adaptive Gradient Balancing for UndersampledMRI Reconstruction and Image-to-Image Translation
    Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy
    http://arxiv.org/abs/2104.01889v1

    • [eess.IV]Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients
    Faeze Gholamiankhah, Samaneh Mostafapour, Nouraddin Abdi Goushbolagh, Seyedjafar Shojaerazavi, Parvaneh Layegh, Seyyed Mohammad Tabatabaei, Hossein Arabi
    http://arxiv.org/abs/2104.02042v1

    • [eess.IV]Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation
    Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng Ann Heng
    http://arxiv.org/abs/2104.01975v1

    • [eess.IV]Contrast-enhanced MRI Synthesis Using 3D High-Resolution ConvNets
    Chao Chen, Catalina Raymond, Bill Speier, Xinyu Jin, Timothy F. Cloughesy, Dieter Enzmann, Benjamin M. Ellingson, Corey W. Arnold
    http://arxiv.org/abs/2104.01592v1

    • [eess.IV]Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging
    Carlos Rojas-Azabache, Karen Vilca-Janampa, Renzo Guerrero-Huayta, Dennis Núñez-Fernández
    http://arxiv.org/abs/2104.01509v1

    • [eess.IV]FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images
    Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen
    http://arxiv.org/abs/2104.01771v1

    • [eess.IV]Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images
    Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, Pheng Ann Heng
    http://arxiv.org/abs/2104.01896v1

    • [eess.IV]MR-Contrast-Aware Image-to-Image Translations with Generative Adversarial Networks
    Jonas Denck, Jens Guehring, Andreas Maier, Eva Rothgang
    http://arxiv.org/abs/2104.01449v1

    • [eess.IV]Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray
    Fakai Wang, Kang Zheng, Yirui Wang, Xiaoyun Zhou, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao
    http://arxiv.org/abs/2104.01734v1

    • [eess.IV]Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods
    Mangal Prakash, Mauricio Delbracio, Peyman Milanfar, Florian Jug
    http://arxiv.org/abs/2104.01374v1

    • [eess.IV]Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy
    Jorge F. Lazo, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Michel de Mathelin, Elena De Momi
    http://arxiv.org/abs/2104.01985v1

    • [eess.SP]A Federated Learning Framework for Non-Intrusive Load Monitoring
    Haijin Wang, Caomingzhe Si, Junhua Zhao
    http://arxiv.org/abs/2104.01618v1

    • [eess.SP]An Energy-efficient Aerial Backhaul System with Reconfigurable Intelligent Surface
    Hong-Bae Jeon, Sung-Ho Park, Jaedon Park, Kaibin Huang, Chan-Byoung Chae
    http://arxiv.org/abs/2104.01723v1

    • [eess.SP]Extraction of instantaneous frequencies and amplitudes in nonstationary time-series data
    Daniel E. Shea, Rajiv Giridharagopal, David S. Ginger, Steven L. Brunton, J. Nathan Kutz
    http://arxiv.org/abs/2104.01293v1

    • [eess.SP]Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure
    Ayse S. Cakmak, Samuel Densen, Gabriel Najarro, Pratik Rout, Christopher J. Rozell, Omer T. Inan, Amit J. Shah, Gari D. Clifford
    http://arxiv.org/abs/2104.01511v1

    • [eess.SP]Sparse Code Multiple Access for 6G Wireless Communication Networks: Recent Advances and Future Directions
    Lisu Yu, Zilong Liu, Miaowen Wen, Donghong Cai, Shuping Dang, Yuhao Wang, Pei Xiao
    http://arxiv.org/abs/2104.01402v1

    • [eess.SY]Active Trajectory Estimation for Partially Observed Markov Decision Processes via Conditional Entropy
    Timothy L. Molloy, Girish N. Nair
    http://arxiv.org/abs/2104.01545v1

    • [eess.SY]Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks — A Novel Learning Algorithm and a Comparative Study
    Erkan Kayacan, Erdal Kayacan, Mojtaba Ahmadieh Khanesar
    http://arxiv.org/abs/2104.01713v1

    • [eess.SY]Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins
    Seppo Sierla, Mohammad Azangoo, Alexander Fay, Valeriy Vyatkin, Nikolaos Papakonstantinou
    http://arxiv.org/abs/2104.01854v1

    • [eess.SY]STL Robustness Risk over Discrete-Time Stochastic Processes
    Lars Lindemann, Nikolai Matni, George J. Pappas
    http://arxiv.org/abs/2104.01503v1

    • [hep-ex]Graph Generative Models for Fast Detector Simulations in High Energy Physics
    Ali Hariri, Darya Dyachkova, Sergei Gleyzer
    http://arxiv.org/abs/2104.01725v1

    • [math.NA]Multilevel Stein variational gradient descent with applications to Bayesian inverse problems
    Terrence Alsup, Luca Venturi, Benjamin Peherstorfer
    http://arxiv.org/abs/2104.01945v1

    • [math.OC]Finite-Time Convergence Rates of Nonlinear Two-Time-Scale Stochastic Approximation under Markovian Noise
    Thinh T. Doan
    http://arxiv.org/abs/2104.01627v1

    • [math.PR]On the negative dependence inequalities and maximal score in round-robin tournament
    Yaakov Malinovsky, John W. Moon
    http://arxiv.org/abs/2104.01450v1

    • [math.ST]An algebraic estimator for large spectral density matrices
    Matteo Barigozzi, Matteo Farnè
    http://arxiv.org/abs/2104.01863v1

    • [math.ST]D-optimal designs for the Mitscherlich non-linear regression function
    Maliheh Heidari, Md Abu Manju, Pieta C. IJzerman-Boon, Edwin R. van den Heuvel
    http://arxiv.org/abs/2104.01573v1

    • [math.ST]Efficiency Lower Bounds for Distribution-Free Hotelling-Type Two-Sample Tests Based on Optimal Transport
    Nabarun Deb, Bhaswar B. Bhattacharya, Bodhisattva Sen
    http://arxiv.org/abs/2104.01986v1

    • [math.ST]Tukey Depths and Hamilton-Jacobi Differential Equations
    Martin Molina-Fructuoso, Ryan Murray
    http://arxiv.org/abs/2104.01648v1

    • [physics.chem-ph]Application of Neural Network Algorithm in Propylene Distillation
    Jinwei Lu, Ningrui Zhao
    http://arxiv.org/abs/2104.01774v1

    • [physics.flu-dyn]CCSNet: a deep learning modeling suite for CO今日学术视野(2021.4.7) - 图3 storage
    Gege Wen, Catherine Hay, Sally M. Benson
    http://arxiv.org/abs/2104.01795v1

    • [physics.flu-dyn]Generalized Joint Probability Density Function Formulation inTurbulent Combustion using DeepONet
    Rishikesh Ranade, Kevin Gitushi, Tarek Echekki
    http://arxiv.org/abs/2104.01996v1

    • [physics.med-ph]IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
    Tao Wang, Wenjun Xia, Zexin Lu, Huaiqiang Sun, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang
    http://arxiv.org/abs/2104.01405v1

    • [physics.soc-ph]Data-driven Contact Network Models of COVID-19 Reveal Trade-offs between Costs and Infections for Optimal Local Containment Policies
    Chao Fan, Xiangqi Jiang, Ronald Lee, Ali Mostafavi
    http://arxiv.org/abs/2104.01456v1

    • [q-bio.GN]SimCD: Simultaneous Clustering and Differential expression analysis for single-cell transcriptomic data
    Seyednami Niyakan, Ehsan Hajiramezanali, Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian
    http://arxiv.org/abs/2104.01512v1

    • [q-bio.NC]Explanatory models in neuroscience: Part 1 — taking mechanistic abstraction seriously
    Rosa Cao, Daniel Yamins
    http://arxiv.org/abs/2104.01490v1

    • [q-bio.NC]Explanatory models in neuroscience: Part 2 — constraint-based intelligibility
    Rosa Cao, Daniel Yamins
    http://arxiv.org/abs/2104.01489v1

    • [quant-ph]An upper bound on the Universality of the Quantum Approximate Optimization Algorithm
    J Ceasar Aguma
    http://arxiv.org/abs/2104.01993v1

    • [quant-ph]From Classical to Quantum: Uniform Continuity Bounds on Entropies in Infinite Dimensions
    Simon Becker, Nilanjana Datta, Michael G. Jabbour
    http://arxiv.org/abs/2104.02019v1

    • [stat.AP]A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy
    Luca Scrucca
    http://arxiv.org/abs/2104.01344v1

    • [stat.AP]Another Approximation of the First-Passage Time Densities for the Ratcliff Diffusion Decision Model
    Kendal Foster, Henrik Singmann
    http://arxiv.org/abs/2104.01902v1

    • [stat.AP]ERStruct: An Eigenvalue Ratio Approach to Inferring Population Structure from Sequencing Data
    Yuyang Xu, Zhonghua Liu, Jiangfeng Yao
    http://arxiv.org/abs/2104.01944v1

    • [stat.AP]Filtering ASVs/OTUs via Mutual Information-Based Microbiome Network Analysis
    Elham Bayat Mokhtari, Benjamin Ridenhour
    http://arxiv.org/abs/2104.01679v1

    • [stat.AP]Social Media Integration of Flood Data: A Vine Copula-Based Approach
    Lauren Ansell, Luciana Dalla Valle
    http://arxiv.org/abs/2104.01869v1

    • [stat.CO]Optimal Scaling of MCMC Beyond Metropolis
    Sanket Agrawal, Dootika Vats, Krzysztof Łatuszyński, Gareth O. Roberts
    http://arxiv.org/abs/2104.02020v1

    • [stat.ME]A Generalized Unscented Transformation for Probability Distributions
    Donald Ebeigbe, Tyrus Berry, Michael M. Norton, Andrew J. Whalen, Dan Simon, Timothy Sauer, Steven J. Schiff
    http://arxiv.org/abs/2104.01958v1

    • [stat.ME]Adjusted composite likelihood for robust Bayesian meta-analysis
    Michele Lambardi di San Miniato, Nicola Sartori
    http://arxiv.org/abs/2104.01920v1

    • [stat.ME]An adaptive strategy for sequential designs of multilevel computer experiments
    Ayao Ehara, Serge Guillas
    http://arxiv.org/abs/2104.02037v1

    • [stat.ME]Efficient Experimental Design for Regularized Linear Models
    C. Devon Lin, Peter Chien, Xinwei Deng
    http://arxiv.org/abs/2104.01673v1

    • [stat.ME]Generalised Bayesian Structural Equation Modelling
    Konstantinos Vamvourellis, Kostas Kalogeropoulos, Irini Moustaki
    http://arxiv.org/abs/2104.01603v1

    • [stat.ME]Optimal multiple testing and design in clinical trials
    Ruth Heller, Abba Krieger, Saharon Rosset
    http://arxiv.org/abs/2104.01346v1

    • [stat.ME]Scalable algorithms for semiparametric accelerated failure time models in high dimensions
    Piotr M. Suder, Aaron J. Molstad
    http://arxiv.org/abs/2104.01707v1

    • [stat.ME]Tailored Bayes: a risk modelling framework under unequal misclassification costs
    Solon Karapanagiotis, Umberto Benedetto, Sach Mukherjee, Paul D. W. Kirk, Paul J. Newcombe
    http://arxiv.org/abs/2104.01822v1

    • [stat.ME]When the Oracle Misleads: Modeling the Consequences of Using Observable Rather than Potential Outcomes in Risk Assessment Instruments
    Alan Mishler, Niccolò Dalmasso
    http://arxiv.org/abs/2104.01921v1

    • [stat.ML]Generative Locally Linear Embedding
    Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
    http://arxiv.org/abs/2104.01525v1

    • [stat.ML]Model Compression for Dynamic Forecast Combination
    Vitor Cerqueira, Luis Torgo, Carlos Soares, Albert Bifet
    http://arxiv.org/abs/2104.01830v1

    • [stat.ML]Non-negative matrix and tensor factorisations with a smoothed Wasserstein loss
    Stephen Y. Zhang
    http://arxiv.org/abs/2104.01708v1

    • [stat.ML]Stopping Criterion for Active Learning Based on Error Stability
    Hideaki Ishibashi, Hideitsu Hino
    http://arxiv.org/abs/2104.01836v1

    • [stat.ML]Topological Data Analysis of Database Representations for Information Retrieval
    Athanasios Vlontzos, Yueqi Cao, Luca Schmidtke, Bernhard Kainz, Anthea Monod
    http://arxiv.org/abs/2104.01672v1