astro-ph.IM - 仪器仪表和天体物理学方法
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.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
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.MM - 多媒体
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
hep-ph - 高能物理现象学
math.FA - 泛函演算
math.NA - 数值分析
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.ao-ph - 大气和海洋物理
q-bio.GN - 基因组学
q-bio.NC - 神经元与认知
q-fin.MF - 数学金融
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
stat.OT - 其他统计学
• [astro-ph.IM]Novel bivariate autoregressive model for predicting and forecasting irregularly observed time series
• [cs.AI]Algebraic answer set programming
• [cs.AI]An Algorithm to Effect Prompt Termination of Myopic Local Search on Kauffman-s NK Landscape
• [cs.AI]Causal Learning for Socially Responsible AI
• [cs.AI]Compilation-based Solvers for Multi-Agent Path Finding: a Survey, Discussion, and Future Opportunities
• [cs.AI]Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction
• [cs.AI]Exploiting Transitivity Constraints for Entity Matching in Knowledge Graphs
• [cs.AI]Fast Falsification of Neural Networks using Property Directed Testing
• [cs.AI]Improving the filtering of Branch-And-Bound MDD solver (extended)
• [cs.AI]Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability
• [cs.AI]Relational Argumentation Semantics
• [cs.AI]Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients
• [cs.AI]Towards Visual Semantics
• [cs.AI]TrustyAI Explainability Toolkit
• [cs.CL]A Bi-Encoder LSTM Model For Learning Unstructured Dialogs
• [cs.CL]A Sliding-Window Approach to Automatic Creation of Meeting Minutes
• [cs.CL]A dissemination workshop for introducing young Italian students to NLP
• [cs.CL]Attention vs non-attention for a Shapley-based explanation method
• [cs.CL]Auto Response Generation in Online Medical Chat Services
• [cs.CL]Automatic Post-Editing for Translating Chinese Novels to Vietnamese
• [cs.CL]Contextual Lexicon-Based Approach for Hate Speech and Offensive Language Detection
• [cs.CL]DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension
• [cs.CL]Easy and Efficient Transformer : Scalable Inference Solution For large NLP mode
• [cs.CL]Evaluating the Values of Sources in Transfer Learning
• [cs.CL]Explore BiLSTM-CRF-Based Models for Open Relation Extraction
• [cs.CL]Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums
• [cs.CL]Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation
• [cs.CL]Focused Attention Improves Document-Grounded Generation
• [cs.CL]GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval
• [cs.CL]Identifying Offensive Expressions of Opinion in Context
• [cs.CL]Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
• [cs.CL]Modeling Coverage for Non-Autoregressive Neural Machine Translation
• [cs.CL]Non-Parametric Few-Shot Learning for Word Sense Disambiguation
• [cs.CL]On a Utilitarian Approach to Privacy Preserving Text Generation
• [cs.CL]Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing
• [cs.CL]PanGu-: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation
• [cs.CL]Reranking Machine Translation Hypotheses with Structured and Web-based Language Models
• [cs.CL]Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students
• [cs.CL]Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages
• [cs.CL]Transformers to Fight the COVID-19 Infodemic
• [cs.CL]Vietnamese Open-domain Complaint Detection in E-Commerce Websites
• [cs.CL]What Makes a Message Persuasive? Identifying Adaptations Towards Persuasiveness in Nine Exploratory Case Studies
• [cs.CL]XLM-T: A Multilingual Language Model Toolkit for Twitter
• [cs.CR]Two-Server Verifiable Homomorphic Secret Sharing for High-Degree Polynomials
• [cs.CV]2.5D Visual Relationship Detection
• [cs.CV]3D Adversarial Attacks Beyond Point Cloud
• [cs.CV]3D Scene Compression through Entropy Penalized Neural Representation Functions
• [cs.CV]3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head
• [cs.CV]3D/2D regularized CNN feature hierarchy for Hyperspectral image classification
• [cs.CV]A Novel Unified Stereo Stimuli based Binocular Eye-Tracking System for Accurate 3D Gaze Estimation
• [cs.CV]A Survey of Modern Deep Learning based Object Detection Models
• [cs.CV]A novel segmentation dataset for signatures on bank checks
• [cs.CV]ASPCNet: A Deep Adaptive Spatial Pattern Capsule Network for Hyperspectral Image Classification
• [cs.CV]Adaptive Appearance Rendering
• [cs.CV]Anomaly Detection for Solder Joints Using -VAE
• [cs.CV]Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark
• [cs.CV]Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations
• [cs.CV]CAGAN: Text-To-Image Generation with Combined Attention GANs
• [cs.CV]Calibrating LiDAR and Camera using Semantic Mutual information
• [cs.CV]Carrying out CNN Channel Pruning in a White Box
• [cs.CV]Class Equilibrium using Coulomb’s Law
• [cs.CV]CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment
• [cs.CV]Computer vision in automated parking systems: Design, implementation and challenges
• [cs.CV]Contextualized Keyword Representations for Multi-modal Retinal Image Captioning
• [cs.CV]Delving into Data: Effectively Substitute Training for Black-box Attack
• [cs.CV]Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization
• [cs.CV]Detecting and Matching Related Objects with One Proposal Multiple Predictions
• [cs.CV]Diverse Image Inpainting with Bidirectional and Autoregressive Transformers
• [cs.CV]Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics
• [cs.CV]Dynamic Degradation for Image Restoration and Fusion
• [cs.CV]Dynamic VAEs with Generative Replay for Continual Zero-shot Learning
• [cs.CV]ECLIPSE : Envisioning Cloud Induced Perturbations in Solar Energy
• [cs.CV]EigenGAN: Layer-Wise Eigen-Learning for GANs
• [cs.CV]Ensembles of GANs for synthetic training data generation
• [cs.CV]Exploiting Explanations for Model Inversion Attacks
• [cs.CV]GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization
• [cs.CV]Generative modeling of spatio-temporal weather patterns with extreme event conditioning
• [cs.CV]Green View Index Analysis and Optimal Green View Index Path Based on Street View and Deep Learning
• [cs.CV]HAO: Hardware-aware neural Architecture Optimization for Efficient Inference
• [cs.CV]Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
• [cs.CV]Image Inpainting with Edge-guided Learnable Bidirectional Attention Maps
• [cs.CV]Improve Vision Transformers Training by Suppressing Over-smoothing
• [cs.CV]InfographicVQA
• [cs.CV]Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks
• [cs.CV]Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data
• [cs.CV]Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks
• [cs.CV]Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos
• [cs.CV]M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
• [cs.CV]MDETR — Modulated Detection for End-to-End Multi-Modal Understanding
• [cs.CV]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning
• [cs.CV]Making GAN-Generated Images Difficult To Spot: A New Attack Against Synthetic Image Detectors
• [cs.CV]Model Guided Road Intersection Classification
• [cs.CV]Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos
• [cs.CV]Mutual Contrastive Learning for Visual Representation Learning
• [cs.CV]ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked Objects
• [cs.CV]Oriented Bounding Boxes for Small and Freely Rotated Objects
• [cs.CV]Parallel Scale-wise Attention Network for Effective Scene Text Recognition
• [cs.CV]Parallel mesh reconstruction streams for pose estimation of interacting hands
• [cs.CV]PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches
• [cs.CV]Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
• [cs.CV]Playing Lottery Tickets with Vision and Language
• [cs.CV]Practical Wide-Angle Portraits Correction with Deep Structured Models
• [cs.CV]Quantization of Deep Neural Networks for Accurate EdgeComputing
• [cs.CV]RelTransformer: Balancing the Visual Relationship Detection from Local Context, Scene and Memory
• [cs.CV]Rich Semantics Improve Few-shot Learning
• [cs.CV]Single Stage Class Agnostic Common Object Detection: A Simple Baseline
• [cs.CV]Spatial-Spectral Clustering with Anchor Graph for Hyperspectral Image
• [cs.CV]Spherical formulation of geometric motion segmentation constraints in fisheye cameras
• [cs.CV]StegaPos: Preventing Crops and Splices with Imperceptible Positional Encodings
• [cs.CV]Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture
• [cs.CV]Temp-Frustum Net: 3D Object Detection with Temporal Fusion
• [cs.CV]The 5th AI City Challenge
• [cs.CV]Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets
• [cs.CV]Transformer Meets DCFAM: A Novel Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images
• [cs.CV]UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments
• [cs.CV]Unsupervised Learning of Multi-level Structures for Anomaly Detection
• [cs.CV]VCGAN: Video Colorization with Hybrid Generative Adversarial Network
• [cs.CV]Variational Pedestrian Detection
• [cs.CV]Vector Neurons: A General Framework for SO(3)-Equivariant Networks
• [cs.CV]Visformer: The Vision-friendly Transformer
• [cs.CV]Visual Saliency Transformer
• [cs.CV]Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps
• [cs.CY]Becoming Good at AI for Good
• [cs.CY]Computational Group Selection
• [cs.CY]Effective Metagraph-based Life Pattern Clustering with Big Human Mobility Data
• [cs.CY]We Haven’t Gone Paperless Yet: Why the Printing Press Can Help Us Understand Data and AI
• [cs.CY]What About the Precedent: An Information-Theoretic Analysis of Common Law
• [cs.DB]Towards Knowledge Graphs Validation through Weighted Knowledge Sources
• [cs.DC]A PGAS Communication Library for Heterogeneous Clusters
• [cs.DC]A Subquadratic-Time Distributed Algorithm for Exact Maximum Matching
• [cs.DC]Microservice Dynamic Architecture-Level Deployment Orchestration
• [cs.DC]On system rollback and totalised fields
• [cs.DC]Power of Finite Memory and Finite Communication Robots under Asynchronous Scheduler
• [cs.DC]RDMAbox : Optimizing RDMA for Memory Intensive Workloads
• [cs.DC]Reducing Write Amplification in Log-Structured Storage via Inferring Block Invalidation Time
• [cs.DL]International Migration in Academia and Citation Performance: An Analysis of German-Affiliated Researchers by Gender and Discipline Using Scopus Publications 1996-2020
• [cs.GR]Efficient Hyperparameter Optimization for Physics-based Character Animation
• [cs.GR]dualFace:Two-Stage Drawing Guidance for Freehand Portrait Sketching
• [cs.GT]Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium
• [cs.GT]Cloud computing as a platform for monetizing data services: A two-sided game business model
• [cs.HC]Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks
• [cs.IR]A unified Neural Network Approach to E-CommerceRelevance Learning
• [cs.IR]AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search
• [cs.IR]Attention on Global-Local Embedding Spaces in Recommender Systems
• [cs.IR]Automatic Description Construction for Math Expression via Topic Relation Graph
• [cs.IR]DeepCAT: Deep Category Representation for Query Understanding in E-commerce Search
• [cs.IR]Form 10-Q Itemization
• [cs.IR]Learning Passage Impacts for Inverted Indexes
• [cs.IR]Represent Items by Items: An Enhanced Representation of the Target Item for Recommendation
• [cs.IT]A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network
• [cs.IT]CSI-free Rotary Antenna Beamforming for Massive RF Wireless Energy Transfer
• [cs.IT]Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications
• [cs.IT]Hybrid Satellite-UAV-Terrestrial Networks for 6G Ubiquitous Coverage: A Maritime Communications Perspective
• [cs.IT]HyperRNN: Deep Learning-Aided Downlink CSI Acquisition via Partial Channel Reciprocity for FDD Massive MIMO
• [cs.IT]Index Modulation Based Coordinate Interleaved Orthogonal Design for Secure Communications
• [cs.IT]Intelligent Reflective-Transmissive Metasurfaces for Full-Dimensional Communications: Principles, Technologies, and Implementation
• [cs.IT]Labeling Multipath via Reconfigurable Intelligent Surface
• [cs.IT]Membrane Fusion-Based Transmitter Design for Static and Diffusive Mobile Molecular Communication Systems
• [cs.IT]On the Achievable Sum-rate of the RIS-aided MIMO Broadcast Channel
• [cs.IT]Optimal Transmit Beamforming for Integrated Sensing and Communication
• [cs.IT]Random Spreading for Unsourced MAC with Power Diversity
• [cs.IT]Reconfigurable Adaptive Channel Sensing
• [cs.IT]Task Offloading Optimization in NOMA-Enabled Multi-hop Mobile Edge Computing System Using Conflict Graph
• [cs.IT]Wireless Federated Learning (WFL) for 6G Networks — Part II: The Compute-then-Transmit NOMA Paradigm
• [cs.LG]A Deep Reinforcement Learning Approach for the Meal Delivery Problem
• [cs.LG]A Survey Of Regression Algorithms And Connections With Deep Learning
• [cs.LG]Achieving Small Test Error in Mildly Overparameterized Neural Networks
• [cs.LG]Algorithmic Solution for Non-Square, Dense Systems of Linear Equations, with applications in Feature Selection
• [cs.LG]Aligned Contrastive Predictive Coding
• [cs.LG]An Exploration into why Output Regularization Mitigates Label Noise
• [cs.LG]Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration
• [cs.LG]Auto-weighted low-rank representation for clustering
• [cs.LG]Balancing Accuracy and Latency in Multipath Neural Networks
• [cs.LG]Boolean Reasoning-Based Biclustering for Shifting Pattern Extraction
• [cs.LG]Class-Incremental Experience Replay for Continual Learning under Concept Drift
• [cs.LG]Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression
• [cs.LG]Communication-Efficient and Personalized Federated Lottery Ticket Learning
• [cs.LG]DC3: A learning method for optimization with hard constraints
• [cs.LG]DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training
• [cs.LG]Demystification of Few-shot and One-shot Learning
• [cs.LG]Development of a Soft Actor Critic Deep Reinforcement Learning Approach for Harnessing Energy Flexibility in a Large Office Building
• [cs.LG]Dominant motion identification of multi-particle system using deep learning from video
• [cs.LG]EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
• [cs.LG]Efficient Evolutionary Models with Digraphons
• [cs.LG]Efficient training of physics-informed neural networks via importance sampling
• [cs.LG]Exploring Multi-dimensional Data via Subset Embedding
• [cs.LG]Fair-Capacitated Clustering
• [cs.LG]FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework
• [cs.LG]Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks
• [cs.LG]How Well Self-Supervised Pre-Training Performs with Streaming Data?
• [cs.LG]Impact of Spatial Frequency Based Constraints on Adversarial Robustness
• [cs.LG]Improving Botnet Detection with Recurrent Neural Network and Transfer Learning
• [cs.LG]Instance-wise Causal Feature Selection for Model Interpretation
• [cs.LG]Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks
• [cs.LG]LGD-GCN: Local and Global Disentangled Graph Convolutional Networks
• [cs.LG]Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT
• [cs.LG]Math Operation Embeddings for Open-ended Solution Analysis and Feedback
• [cs.LG]Measuring Novelty in Autonomous Vehicles Motion Using Local Outlier Factor Algorithm
• [cs.LG]On the Comparison between Cyclic Sampling and Random Reshuffling
• [cs.LG]One-parameter family of acquisition functions for efficient global optimization
• [cs.LG]Optimal Dynamic Regret in Exp-Concave Online Learning
• [cs.LG]Partitioning sparse deep neural networks for scalable training and inference
• [cs.LG]Powered Dirichlet Process for Controlling the Importance of “Rich-Get-Richer” Prior Assumptions in Bayesian Clustering
• [cs.LG]RP-DQN: An application of Q-Learning to Vehicle Routing Problems
• [cs.LG]Selecting a number of voters for a voting ensemble
• [cs.LG]Short-term forecast of EV charging stations occupancy probability using big data streaming analysis
• [cs.LG]Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks
• [cs.LG]Stochastic Recurrent Neural Network for Multistep Time Series Forecasting
• [cs.LG]Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning
• [cs.LG]Syft 0.5: A Platform for Universally Deployable Structured Transparency
• [cs.LG]Towards Rigorous Interpretations: a Formalisation of Feature Attribution
• [cs.LG]Towards Sustainable Census Independent Population Estimation in Mozambique
• [cs.LG]Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network
• [cs.LG]Weakly Supervised Multi-task Learning for Concept-based Explainability
• [cs.LG]baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents
• [cs.MM]ANT: Learning Accurate Network Throughput for Better Adaptive Video Streaming
• [cs.NE]OPTION: OPTImization Algorithm Benchmarking ONtology
• [cs.NE]Particle Swarms Reformulated towards a Unified and Flexible Framework
• [cs.NI]Generalized ADMM in Distributed Learning via Variational Inequality
• [cs.NI]Improving 6TiSCH Reliability and Latency with Simultaneous Multi-Band Operation
• [cs.NI]On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks
• [cs.NI]Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
• [cs.RO]A Robustness Analysis of Inverse Optimal Control of Bipedal Walking
• [cs.RO]Adaptive Sampling: Algorithmic vs. Human Waypoint Selection
• [cs.RO]An Interval Branch-and-Bound-Based Inverse Kinemetics Algorithm Towards Global Optimal Redundancy Resolution
• [cs.RO]CFNet: LiDAR-Camera Registration Using Calibration Flow Network
• [cs.RO]COMTEST Project: A Complete Modular Test Stand for Human and Humanoid Posture Control and Balance
• [cs.RO]Computing a Task-Dependent Grasp Metric Using Second Order Cone Programs
• [cs.RO]Drone Launched Short Range Rockets
• [cs.RO]Implementing Virtual Reality for Teleoperation of a Humanoid Robot
• [cs.RO]KDF: Kinodynamic Motion Planning via Geometric Sampling-based Algorithms and Funnel Control
• [cs.RO]Learning Latent Graph Dynamics for Deformable Object Manipulation
• [cs.RO]MILIOM: Tightly Coupled Multi-Input Lidar-Inertia Odometry and Mapping
• [cs.RO]Motion based Extrinsic Calibration of a 3D Lidar and an IMU
• [cs.RO]MultiCruise: Eco-Lane Selection Strategy with Eco-Cruise Control for Connected and Automated Vehicles
• [cs.RO]Optimal Algorithm Allocation for Robotic Network Cloud Systems
• [cs.RO]Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots
• [cs.RO]Semi-Autonomous Planning and Visualization in Virtual Reality
• [cs.RO]UNIFY: Multi-Belief Bayesian Grid Framework based on Automotive Radar
• [cs.RO]Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances
• [cs.SD]An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion
• [cs.SD]MusCaps: Generating Captions for Music Audio
• [cs.SD]Music Embedding: A Tool for Incorporating Music Theory into Computational Music Applications
• [cs.SD]Points2Sound: From mono to binaural audio using 3D point cloud scenes
• [cs.SE]DABT: A Dependency-aware Bug Triaging Method
• [cs.SE]Predicting the Number of Reported Bugs in a Software Repository
• [cs.SI]Privacy as a Planned Behavior: Effects of Situational Factors on Privacy Perceptions and Plans
• [cs.SI]User Preference-aware Fake News Detection
• [econ.EM]Performance of Empirical Risk Minimization for Linear Regression with Dependent Data
• [eess.AS]Language ID Prediction from Speech Using Self-Attentive Pooling and 1D-Convolutions
• [eess.AS]Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis
• [eess.IV]A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images
• [eess.IV]Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning
• [eess.IV]Clean Images are Hard to Reblur: A New Clue for Deblurring
• [eess.IV]Deep Convolutional Neural Network for Non-rigid Image Registration
• [eess.IV]FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
• [eess.IV]Learning to Address Intra-segment Misclassification in Retinal Imaging
• [eess.IV]Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images
• [eess.IV]Multi-Scale Hourglass Hierarchical Fusion Network for Single Image Deraining
• [eess.IV]Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging
• [eess.IV]Swimmer Stroke Rate Estimation From Overhead Race Video
• [eess.SP]Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data
• [eess.SP]Game-Theoretic Mode Scheduling for Dynamic TDD in 5G Systems
• [eess.SP]Joint Activity Detection and Data Decoding in Massive Random Access via a Turbo Receiver
• [eess.SP]Scalable End-to-End RF Classification: A Case Study on Undersized Dataset Regularization by Convolutional-MST
• [eess.SP]Simultaneous Wireless Information and Power Transfer for Federated Learning
• [eess.SP]Symplectic Transformations on Wigner Distributions and Time Frequency Signal Design
• [eess.SP]Uncertainty Relations for MIMO Ambiguity Functions
• [hep-ph]Invariant polynomials and machine learning
• [math.FA]On the stability of deep convolutional neural networks under irregular or random deformations
• [math.NA]Bayesian Numerical Methods for Nonlinear Partial Differential Equations
• [math.NA]Operator Augmentation for General Noisy Matrix Systems
• [math.NA]Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization
• [math.OC]An Asynchronous Approximate Distributed Alternating Direction Method of Multipliers in Digraphs
• [math.OC]Efficient Formulation of Collision Avoidance Constraints in Optimization Based Trajectory Planning and Control
• [math.OC]Solving a class of non-convex min-max games using adaptive momentum methods
• [math.PR]A class of dimensionality-free metrics for the convergence of empirical measures
• [math.ST]Bayesian predictive inference without a prior
• [math.ST]Consistency of invariance-based randomization tests
• [math.ST]Generalized heterogeneous hypergeometric functions and the distribution of the largest eigenvalue of an elliptical Wishart matrix
• [math.ST]Nonparametric estimation of marginal distributions for unordered pairs
• [math.ST]Valid Heteroskedasticity Robust Testing
• [math.ST]Variational Inference in high-dimensional linear regression
• [physics.ao-ph]Bridging observation, theory and numerical simulation of the ocean using Machine Learning
• [q-bio.GN]Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer
• [q-bio.NC]Neurodynamical Role of STDP in Storage and Retrieval of Associative Information
• [q-fin.MF]Generative Adversarial Network: Some Analytical Perspectives
• [stat.AP]A functional autoregressive model based on exogenous hydrometeorological variables for river flow prediction
• [stat.AP]Establishing phone-pair co-usage by comparing mobility patterns
• [stat.AP]Identification of high-energy astrophysical point sources via hierarchical Bayesian nonparametric clustering
• [stat.CO]Algorithms for finding generalized minimum aberration designs
• [stat.ME]Benchmarking survival outcomes: A funnel plot for survival data
• [stat.ME]Constrained Minimum Energy Designs
• [stat.ME]Contraction of a quasi-Bayesian model with shrinkage priors in precision matrix estimation
• [stat.ME]Data-Based Optimal Bandwidth for Kernel Density Estimation of Statistical Samples
• [stat.ME]Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms
• [stat.ME]Matrix Normal Cluster-Weighted Models
• [stat.ME]Modeling Risk via Realized HYGARCH Model
• [stat.ME]Robust selection of predictors and conditional outlier detection in a perturbed large-dimensional regression context
• [stat.ME]System identification using Bayesian neural networks with nonparametric noise models
• [stat.ME]The GLD-plot: A depth-based plot to investigate unimodality of directional data
• [stat.ME]Transporting treatment effects with incomplete attributes
• [stat.ME]Valid Post-Detection Inference for Change Points Identified Using Trend Filtering
• [stat.ML]Algorithms for ridge estimation with convergence guarantees
• [stat.ML]Breiman’s two cultures: You don’t have to choose sides
• [stat.ML]Consistency issues in Gaussian Mixture Models reduction algorithms
• [stat.ML]Deep Probabilistic Graphical Modeling
• [stat.ML]Evaluating the performance of personal, social, health-related, biomarker and genetic data for predicting an individuals future health using machine learning: A longitudinal analysis
• [stat.ML]Finite sample approximations of exact and entropic Wasserstein distances between covariance operators and Gaussian processes
• [stat.ML]Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence
• [stat.ML]Machine Learning Approaches for Inferring Liver Diseases and Detecting Blood Donors from Medical Diagnosis
• [stat.ML]Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
• [stat.ML]Predicting Depressive Symptom Severity through Individuals’ Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study
• [stat.ML]Sampling Permutations for Shapley Value Estimation
• [stat.ML]Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations
• [stat.ML]tsrobprep — an R package for robust preprocessing of time series data
• [stat.OT]A very short guide to IOI: A general framework for statistical inference summarised
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• [astro-ph.IM]Novel bivariate autoregressive model for predicting and forecasting irregularly observed time series
Felipe Elorrieta, Susana Eyheramendy, Wilfredo Palma, Cesar Ojeda
http://arxiv.org/abs/2104.12248v1
• [cs.AI]Algebraic answer set programming
Christian Antic
http://arxiv.org/abs/2104.12156v1
• [cs.AI]An Algorithm to Effect Prompt Termination of Myopic Local Search on Kauffman-s NK Landscape
Sasanka Sekhar Chanda
http://arxiv.org/abs/2104.12620v1
• [cs.AI]Causal Learning for Socially Responsible AI
Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu
http://arxiv.org/abs/2104.12278v1
• [cs.AI]Compilation-based Solvers for Multi-Agent Path Finding: a Survey, Discussion, and Future Opportunities
Pavel Surynek
http://arxiv.org/abs/2104.11809v1
• [cs.AI]Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction
Helge Spieker
http://arxiv.org/abs/2104.11918v1
• [cs.AI]Exploiting Transitivity Constraints for Entity Matching in Knowledge Graphs
Jurian Baas, Mehdi Dastani, Ad Feelders
http://arxiv.org/abs/2104.12589v1
• [cs.AI]Fast Falsification of Neural Networks using Property Directed Testing
Moumita Das, Rajarshi Ray, Swarup Kumar Mohalik, Ansuman Banerjee
http://arxiv.org/abs/2104.12418v1
• [cs.AI]Improving the filtering of Branch-And-Bound MDD solver (extended)
Xavier Gillard, Vianney Coppé, Pierre Schaus, André Augusto Cire
http://arxiv.org/abs/2104.11951v1
• [cs.AI]Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability
Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian
http://arxiv.org/abs/2104.12037v1
• [cs.AI]Relational Argumentation Semantics
Ryuta Arisaka, Takayuki Ito
http://arxiv.org/abs/2104.12386v1
• [cs.AI]Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients
Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Son, Glaucio H. Paulino
http://arxiv.org/abs/2104.12282v1
• [cs.AI]Towards Visual Semantics
Fausto Giunchiglia, Luca Erculiani, Andrea Passerini
http://arxiv.org/abs/2104.12379v1
• [cs.AI]TrustyAI Explainability Toolkit
Rob Geada, Tommaso Teofili, Rui Vieira, Rebecca Whitworth, Daniele Zonca
http://arxiv.org/abs/2104.12717v1
• [cs.CL]A Bi-Encoder LSTM Model For Learning Unstructured Dialogs
Diwanshu Shekhar, Pooran S. Negi, Mohammad Mahoor
http://arxiv.org/abs/2104.12269v1
• [cs.CL]A Sliding-Window Approach to Automatic Creation of Meeting Minutes
Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Fei Liu
http://arxiv.org/abs/2104.12324v1
• [cs.CL]A dissemination workshop for introducing young Italian students to NLP
Lucio Messina, Lucia Busso, Claudia Roberta Combei, Ludovica Pannitto, Alessio Miaschi, Gabriele Sarti, Malvina Nissim
http://arxiv.org/abs/2104.12405v1
• [cs.CL]Attention vs non-attention for a Shapley-based explanation method
Tom Kersten, Hugh Mee Wong, Jaap Jumelet, Dieuwke Hupkes
http://arxiv.org/abs/2104.12424v1
• [cs.CL]Auto Response Generation in Online Medical Chat Services
Hadi Jahanshahi, Syed Kazmi, Mucahit Cevik
http://arxiv.org/abs/2104.12755v1
• [cs.CL]Automatic Post-Editing for Translating Chinese Novels to Vietnamese
Thanh Vu, Dai Quoc Nguyen
http://arxiv.org/abs/2104.12128v1
• [cs.CL]Contextual Lexicon-Based Approach for Hate Speech and Offensive Language Detection
Francielle Alves Vargas, Fabiana Rodrigues de Góes, Isabelle Carvalho, Fabrício Benevenuto, Thiago Alexandre Salgueiro Pardo
http://arxiv.org/abs/2104.12265v1
• [cs.CL]DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension
Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu
http://arxiv.org/abs/2104.12377v1
• [cs.CL]Easy and Efficient Transformer : Scalable Inference Solution For large NLP mode
Gongzheng li, Yadong Xi, Jingzhen Ding, Duan Wang, Bai Liu, Changjie Fan, Xiaoxi Mao, Zeng Zhao
http://arxiv.org/abs/2104.12470v1
• [cs.CL]Evaluating the Values of Sources in Transfer Learning
Md Rizwan Parvez, Kai-Wei Chang
http://arxiv.org/abs/2104.12567v1
• [cs.CL]Explore BiLSTM-CRF-Based Models for Open Relation Extraction
Tao Ni, Qing Wang, Gabriela Ferraro
http://arxiv.org/abs/2104.12333v1
• [cs.CL]Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums
Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi
http://arxiv.org/abs/2104.12643v1
• [cs.CL]Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation
Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu
http://arxiv.org/abs/2104.11928v1
• [cs.CL]Focused Attention Improves Document-Grounded Generation
Shrimai Prabhumoye, Kazuma Hashimoto, Yingbo Zhou, Alan W Black, Ruslan Salakhutdinov
http://arxiv.org/abs/2104.12714v1
• [cs.CL]GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval
Timo Möller, Julian Risch, Malte Pietsch
http://arxiv.org/abs/2104.12741v1
• [cs.CL]Identifying Offensive Expressions of Opinion in Context
Francielle Alves Vargas, Isabelle Carvalho, Fabiana Rodrigues de Góes
http://arxiv.org/abs/2104.12227v1
• [cs.CL]Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
Congying Xia, Wenpeng Yin, Yihao Feng, Philip Yu
http://arxiv.org/abs/2104.11882v1
• [cs.CL]Modeling Coverage for Non-Autoregressive Neural Machine Translation
Yong Shan, Yang Feng, Chenze Shao
http://arxiv.org/abs/2104.11897v1
• [cs.CL]Non-Parametric Few-Shot Learning for Word Sense Disambiguation
Howard Chen, Mengzhou Xia, Danqi Chen
http://arxiv.org/abs/2104.12677v1
• [cs.CL]On a Utilitarian Approach to Privacy Preserving Text Generation
Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier
http://arxiv.org/abs/2104.11838v1
• [cs.CL]Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing
Pengfei Liu, Youzhang Ning, King Keung Wu, Kun Li, Helen Meng
http://arxiv.org/abs/2104.12114v1
• [cs.CL]PanGu-: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation
Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, Yaowei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian
http://arxiv.org/abs/2104.12369v1
• [cs.CL]Reranking Machine Translation Hypotheses with Structured and Web-based Language Models
Wen Wang, Andreas Stolcke, Jing Zheng
http://arxiv.org/abs/2104.12277v1
• [cs.CL]Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students
Ludovica Pannitto, Lucia Busso, Claudia Roberta Combei, Lucio Messina, Alessio Miaschi, Gabriele Sarti, Malvina Nissim
http://arxiv.org/abs/2104.12422v1
• [cs.CL]Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages
Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova
http://arxiv.org/abs/2104.11761v1
• [cs.CL]Transformers to Fight the COVID-19 Infodemic
Lasitha Uyangodage, Tharindu Ranasinghe, Hansi Hettiarachchi
http://arxiv.org/abs/2104.12201v1
• [cs.CL]Vietnamese Open-domain Complaint Detection in E-Commerce Websites
Nhung Thi-Hong Nguyen, Phuong Ha-Dieu Phan, Luan Thanh Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
http://arxiv.org/abs/2104.11969v1
• [cs.CL]What Makes a Message Persuasive? Identifying Adaptations Towards Persuasiveness in Nine Exploratory Case Studies
Sebastian Duerr, Krystian Teodor Lange, Peter A. Gloor
http://arxiv.org/abs/2104.12454v1
• [cs.CL]XLM-T: A Multilingual Language Model Toolkit for Twitter
Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados
http://arxiv.org/abs/2104.12250v1
• [cs.CR]Two-Server Verifiable Homomorphic Secret Sharing for High-Degree Polynomials
Xin Chen, Liang Feng Zhang
http://arxiv.org/abs/2104.12163v1
• [cs.CV]2.5D Visual Relationship Detection
Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong
http://arxiv.org/abs/2104.12727v1
• [cs.CV]3D Adversarial Attacks Beyond Point Cloud
Jinlai Zhang, Lyujie Chen, Binbin Liu, Bo Ouyang, Qizhi Xie, Jihong Zhu, Yanmei Meng
http://arxiv.org/abs/2104.12146v1
• [cs.CV]3D Scene Compression through Entropy Penalized Neural Representation Functions
Thomas Bird, Johannes Ballé, Saurabh Singh, Philip A. Chou
http://arxiv.org/abs/2104.12456v1
• [cs.CV]3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head
Qianyun Wang, Zhenfeng Fan, Shihong Xia
http://arxiv.org/abs/2104.12051v1
• [cs.CV]3D/2D regularized CNN feature hierarchy for Hyperspectral image classification
Muhammad Ahmad, Manuel Mazzara, Salvatore Distefano
http://arxiv.org/abs/2104.12136v1
• [cs.CV]A Novel Unified Stereo Stimuli based Binocular Eye-Tracking System for Accurate 3D Gaze Estimation
Sunjing Lin, Yu Liu, Shaochu Wang, Chang Li, Han Wang
http://arxiv.org/abs/2104.12167v1
• [cs.CV]A Survey of Modern Deep Learning based Object Detection Models
Syed Sahil Abbas Zaidi, Mohammad Samar Ansari, Asra Aslam, Nadia Kanwal, Mamoona Asghar, Brian Lee
http://arxiv.org/abs/2104.11892v1
• [cs.CV]A novel segmentation dataset for signatures on bank checks
Muhammad Saif Ullah Khan
http://arxiv.org/abs/2104.12203v1
• [cs.CV]ASPCNet: A Deep Adaptive Spatial Pattern Capsule Network for Hyperspectral Image Classification
Jinping Wang, Xiaojun Tan, Jianhuang Lai, Jun Li, Canqun Xiang
http://arxiv.org/abs/2104.12085v1
• [cs.CV]Adaptive Appearance Rendering
Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori
http://arxiv.org/abs/2104.11931v1
• [cs.CV]Anomaly Detection for Solder Joints Using -VAE
Furkan Ulger, Seniha Esen Yuksel, Atila Yilmaz
http://arxiv.org/abs/2104.11927v1
• [cs.CV]Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark
Yihua Cheng, Haofei Wang, Yiwei Bao, Feng Lu
http://arxiv.org/abs/2104.12668v1
• [cs.CV]Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations
Sina Famouri, Lia Morra, Leonardo Mangia, Fabrizio Lamberti
http://arxiv.org/abs/2104.12218v1
• [cs.CV]CAGAN: Text-To-Image Generation with Combined Attention GANs
Henning Schulze, Dogucan Yaman, Alexander Waibel
http://arxiv.org/abs/2104.12663v1
• [cs.CV]Calibrating LiDAR and Camera using Semantic Mutual information
Peng Jiang, Philip Osteen, Srikanth Saripalli
http://arxiv.org/abs/2104.12023v1
• [cs.CV]Carrying out CNN Channel Pruning in a White Box
Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji
http://arxiv.org/abs/2104.11883v1
• [cs.CV]Class Equilibrium using Coulomb’s Law
Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh
http://arxiv.org/abs/2104.12287v1
• [cs.CV]CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment
Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov
http://arxiv.org/abs/2104.12642v1
• [cs.CV]Computer vision in automated parking systems: Design, implementation and challenges
Markus Heimberger, Jonathan Horgan, Ciaran Hughes, John McDonald, Senthil Yogamani
http://arxiv.org/abs/2104.12537v1
• [cs.CV]Contextualized Keyword Representations for Multi-modal Retinal Image Captioning
Jia-Hong Huang, Ting-Wei Wu, Marcel Worring
http://arxiv.org/abs/2104.12471v1
• [cs.CV]Delving into Data: Effectively Substitute Training for Black-box Attack
Wenxuan Wang, Bangjie Yin, Taiping Yao, Li Zhang, Yanwei Fu, Shouhong Ding, Jilin Li, Feiyue Huang, Xiangyang Xue
http://arxiv.org/abs/2104.12378v1
• [cs.CV]Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization
Yi Wang, Xinyu Hou, Lap-Pui Chau
http://arxiv.org/abs/2104.12505v1
• [cs.CV]Detecting and Matching Related Objects with One Proposal Multiple Predictions
Yang Liu, Luiz G. Hafemann, Michael Jamieson, Mehrsan Javan
http://arxiv.org/abs/2104.12574v1
• [cs.CV]Diverse Image Inpainting with Bidirectional and Autoregressive Transformers
Yingchen Yu, Fangneng Zhan, Rongliang Wu, Jianxiong Pan, Kaiwen Cui, Shijian Lu, Feiying Ma, Xuansong Xie, Chunyan Miao
http://arxiv.org/abs/2104.12335v1
• [cs.CV]Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics
Stone Yun, Alexander Wong
http://arxiv.org/abs/2104.11849v1
• [cs.CV]Dynamic Degradation for Image Restoration and Fusion
Aiqing Fang, Xinbo Zhao, Jiaqi Yang, Yanning Zhang
http://arxiv.org/abs/2104.12347v1
• [cs.CV]Dynamic VAEs with Generative Replay for Continual Zero-shot Learning
Subhankar Ghosh
http://arxiv.org/abs/2104.12468v1
• [cs.CV]ECLIPSE : Envisioning Cloud Induced Perturbations in Solar Energy
Quentin Paletta, Anthony Hu, Guillaume Arbod, Joan Lasenby
http://arxiv.org/abs/2104.12419v1
• [cs.CV]EigenGAN: Layer-Wise Eigen-Learning for GANs
Zhenliang He, Meina Kan, Shiguang Shan
http://arxiv.org/abs/2104.12476v1
• [cs.CV]Ensembles of GANs for synthetic training data generation
Gabriel Eilertsen, Apostolia Tsirikoglou, Claes Lundström, Jonas Unger
http://arxiv.org/abs/2104.11797v1
• [cs.CV]Exploiting Explanations for Model Inversion Attacks
Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim
http://arxiv.org/abs/2104.12669v1
• [cs.CV]GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization
Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring
http://arxiv.org/abs/2104.12465v1
• [cs.CV]Generative modeling of spatio-temporal weather patterns with extreme event conditioning
Konstantin Klemmer, Sudipan Saha, Matthias Kahl, Tianlin Xu, Xiao Xiang Zhu
http://arxiv.org/abs/2104.12469v1
• [cs.CV]Green View Index Analysis and Optimal Green View Index Path Based on Street View and Deep Learning
Anqi Hu, Jiahao Zhang, Hiroyuki Kaga
http://arxiv.org/abs/2104.12627v1
• [cs.CV]HAO: Hardware-aware neural Architecture Optimization for Efficient Inference
Zhen Dong, Yizhao Gao, Qijing Huang, John Wawrzynek, Hayden K. H. So, Kurt Keutzer
http://arxiv.org/abs/2104.12766v1
• [cs.CV]Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone
http://arxiv.org/abs/2104.12446v1
• [cs.CV]Image Inpainting with Edge-guided Learnable Bidirectional Attention Maps
Dongsheng Wang, Chaohao Xie, Shaohui Liu, Zhenxing Niu, Wangmeng Zuo
http://arxiv.org/abs/2104.12087v1
• [cs.CV]Improve Vision Transformers Training by Suppressing Over-smoothing
Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
http://arxiv.org/abs/2104.12753v1
• [cs.CV]InfographicVQA
Minesh Mathew, Viraj Bagal, Rubèn Pérez Tito, Dimosthenis Karatzas, Ernest Valveny, C. V Jawahar
http://arxiv.org/abs/2104.12756v1
• [cs.CV]Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks
Wang Zihao, Vandersteen Clair, Demarcy Thomas, Gnansia Dan, Raffaelli Charles, Guevara Nicolas, Delingette Herve
http://arxiv.org/abs/2104.12510v1
• [cs.CV]Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data
Xuihui Jia, Kai Han, Yukun Zhu, Bradley Green
http://arxiv.org/abs/2104.12673v1
• [cs.CV]Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks
Loïc Cordone, Benoît Miramond, Sonia Ferrante
http://arxiv.org/abs/2104.12579v1
• [cs.CV]Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos
Yuming Du, Yang Xiao, Vincent Lepetit
http://arxiv.org/abs/2104.12276v1
• [cs.CV]M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha
http://arxiv.org/abs/2104.11896v1
• [cs.CV]MDETR — Modulated Detection for End-to-End Multi-Modal Understanding
Aishwarya Kamath, Mannat Singh, Yann LeCun, Ishan Misra, Gabriel Synnaeve, Nicolas Carion
http://arxiv.org/abs/2104.12763v1
• [cs.CV]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning
Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sebastien Ourselin, Tom Vercauteren, Shaoting Zhang
http://arxiv.org/abs/2104.12166v1
• [cs.CV]Making GAN-Generated Images Difficult To Spot: A New Attack Against Synthetic Image Detectors
Xinwei Zhao, Matthew C. Stamm
http://arxiv.org/abs/2104.12069v1
• [cs.CV]Model Guided Road Intersection Classification
Augusto Luis Ballardini, Augusto Luis Ballardini, Miguel Ángel Sotelo
http://arxiv.org/abs/2104.12417v1
• [cs.CV]Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos
Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie Boggust, Rameswar Panda, Brian Kingsbury, Rogerio Feris, David Harwath, James Glass, Michael Picheny, Shih-Fu Chang
http://arxiv.org/abs/2104.12671v1
• [cs.CV]Mutual Contrastive Learning for Visual Representation Learning
Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu
http://arxiv.org/abs/2104.12565v1
• [cs.CV]ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked Objects
Ricky Ma
http://arxiv.org/abs/2104.12300v1
• [cs.CV]Oriented Bounding Boxes for Small and Freely Rotated Objects
Mohsen Zand, Ali Etemad, Michael Greenspan
http://arxiv.org/abs/2104.11854v1
• [cs.CV]Parallel Scale-wise Attention Network for Effective Scene Text Recognition
Usman Sajid, Michael Chow, Jin Zhang, Taejoon Kim, Guanghui Wang
http://arxiv.org/abs/2104.12076v1
• [cs.CV]Parallel mesh reconstruction streams for pose estimation of interacting hands
Uri Wollner, Guy Ben-Yosef
http://arxiv.org/abs/2104.12123v1
• [cs.CV]PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches
Chong Xiang, Prateek Mittal
http://arxiv.org/abs/2104.12609v1
• [cs.CV]Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori
http://arxiv.org/abs/2104.11939v1
• [cs.CV]Playing Lottery Tickets with Vision and Language
Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu
http://arxiv.org/abs/2104.11832v1
• [cs.CV]Practical Wide-Angle Portraits Correction with Deep Structured Models
Jing Tan, Shan Zhao, Pengfei Xiong, Jiangyu Liu, Haoqiang Fan, Shuaicheng Liu
http://arxiv.org/abs/2104.12464v1
• [cs.CV]Quantization of Deep Neural Networks for Accurate EdgeComputing
Wentao Chen, Hailong Qiu, Jian Zhuang, Chutong Zhang, Yu Hu, Qing Lu, Tianchen Wang, Yiyu Shi†, Meiping Huang, Xiaowe Xu
http://arxiv.org/abs/2104.12046v1
• [cs.CV]RelTransformer: Balancing the Visual Relationship Detection from Local Context, Scene and Memory
Jun Chen, Aniket Agarwal, Sherif Abdelkarim, Deyao Zhu, Mohamed Elhoseiny
http://arxiv.org/abs/2104.11934v1
• [cs.CV]Rich Semantics Improve Few-shot Learning
Mohamed Afham, Salman Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan
http://arxiv.org/abs/2104.12709v1
• [cs.CV]Single Stage Class Agnostic Common Object Detection: A Simple Baseline
Chuong H. Nguyen, Thuy C. Nguyen, Anh H. Vo, Yamazaki Masayuki
http://arxiv.org/abs/2104.12245v1
• [cs.CV]Spatial-Spectral Clustering with Anchor Graph for Hyperspectral Image
Qi Wang, Yanling Miao, Mulin Chen, Xuelong Li
http://arxiv.org/abs/2104.11904v1
• [cs.CV]Spherical formulation of geometric motion segmentation constraints in fisheye cameras
Letizia Mariotti, Ciaran Eising
http://arxiv.org/abs/2104.12404v1
• [cs.CV]StegaPos: Preventing Crops and Splices with Imperceptible Positional Encodings
Gokhan Egri, Todd Zickler
http://arxiv.org/abs/2104.12290v1
• [cs.CV]Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture
Stanislava Fedorova, Alberto Tono, Meher Shashwat Nigam, Jiayao Zhang, Amirhossein Ahmadnia, Cecilia Bolognesi, Dominik L. Michels
http://arxiv.org/abs/2104.12564v1
• [cs.CV]Temp-Frustum Net: 3D Object Detection with Temporal Fusion
Emeç Erçelik, Ekim Yurtsever, Alois Knoll
http://arxiv.org/abs/2104.12106v1
• [cs.CV]The 5th AI City Challenge
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff
http://arxiv.org/abs/2104.12233v1
• [cs.CV]Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets
Yuan-Hong Liao, Amlan Kar, Sanja Fidler
http://arxiv.org/abs/2104.12690v1
• [cs.CV]Transformer Meets DCFAM: A Novel Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images
Libo Wang, Rui Li, Chenxi Duan, Shenghui Fang
http://arxiv.org/abs/2104.12137v1
• [cs.CV]UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments
Pablo Martinez-Gonzalez, Sergiu Oprea, John Alejandro Castro-Vargas, Alberto Garcia-Garcia, Sergio Orts-Escolano, Jose Garcia-Rodriguez, Markus Vincze
http://arxiv.org/abs/2104.11776v1
• [cs.CV]Unsupervised Learning of Multi-level Structures for Anomaly Detection
Songmin Dai, Jide Li, Lu Wang, Congcong Zhu, Yifan Wu, Xiaoqiang Li
http://arxiv.org/abs/2104.12102v1
• [cs.CV]VCGAN: Video Colorization with Hybrid Generative Adversarial Network
Yuzhi Zhao, Lai-Man Po, Wing-Yin Yu, Yasar Abbas Ur Rehman, Mengyang Liu, Yujia Zhang, Weifeng Ou
http://arxiv.org/abs/2104.12357v1
• [cs.CV]Variational Pedestrian Detection
Yuang Zhang, Huanyu He, Jianguo Li, Yuxi Li, John See, Weiyao Lin
http://arxiv.org/abs/2104.12389v1
• [cs.CV]Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas Guibas
http://arxiv.org/abs/2104.12229v1
• [cs.CV]Visformer: The Vision-friendly Transformer
Zhengsu Chen, Lingxi Xie, Jianwei Niu, Xuefeng Liu, Longhui Wei, Qi Tian
http://arxiv.org/abs/2104.12533v1
• [cs.CV]Visual Saliency Transformer
Nian Liu, Ni Zhang, Kaiyuan Wan, Junwei Han, Ling Shao
http://arxiv.org/abs/2104.12099v1
• [cs.CV]Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps
Mohammad Rahimzadeh, Soroush Parvin, Elnaz Safi, Mohammad Reza Mohammadi
http://arxiv.org/abs/2104.12294v1
• [cs.CY]Becoming Good at AI for Good
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
http://arxiv.org/abs/2104.11757v1
• [cs.CY]Computational Group Selection
Nripsuta Saxena
http://arxiv.org/abs/2104.12279v1
• [cs.CY]Effective Metagraph-based Life Pattern Clustering with Big Human Mobility Data
Wenjing Li, Haoran Zhang, Jinyu Chen, Peiran Li, Yuhao Yao, Mariko Shibasaki, Xuan Song, Ryosuke Shibasaki
http://arxiv.org/abs/2104.11968v1
• [cs.CY]We Haven’t Gone Paperless Yet: Why the Printing Press Can Help Us Understand Data and AI
Julian Posada, Nicholas Weller, Wendy H. Wong
http://arxiv.org/abs/2104.12731v1
• [cs.CY]What About the Precedent: An Information-Theoretic Analysis of Common Law
Josef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel
http://arxiv.org/abs/2104.12133v1
• [cs.DB]Towards Knowledge Graphs Validation through Weighted Knowledge Sources
Elwin Huaman, Amar Tauqeer, Geni Bushati, Anna Fensel
http://arxiv.org/abs/2104.12622v1
• [cs.DC]A PGAS Communication Library for Heterogeneous Clusters
Varun Sharma, Paul Chow
http://arxiv.org/abs/2104.12350v1
• [cs.DC]A Subquadratic-Time Distributed Algorithm for Exact Maximum Matching
Naoki Kitamura, Taisuke Izumi
http://arxiv.org/abs/2104.12057v1
• [cs.DC]Microservice Dynamic Architecture-Level Deployment Orchestration
Lorenzo Bacchiani, Mario Bravetti, Saverio Giallorenzo, Jacopo Mauro, Iacopo Talevi, Gianluigi Zavattaro
http://arxiv.org/abs/2104.12466v1
• [cs.DC]On system rollback and totalised fields
Mark Burgess, Alva Couch
http://arxiv.org/abs/2104.11958v1
• [cs.DC]Power of Finite Memory and Finite Communication Robots under Asynchronous Scheduler
Archak Das, Avisek Sharma, Buddhadeb Sau
http://arxiv.org/abs/2104.12202v1
• [cs.DC]RDMAbox : Optimizing RDMA for Memory Intensive Workloads
Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu
http://arxiv.org/abs/2104.12197v1
• [cs.DC]Reducing Write Amplification in Log-Structured Storage via Inferring Block Invalidation Time
Qiuping Wang, Jinhong Li, Patrick P. C. Lee, Guangliang Zhao, Chao Shi, Lilong Huang
http://arxiv.org/abs/2104.12425v1
• [cs.DL]International Migration in Academia and Citation Performance: An Analysis of German-Affiliated Researchers by Gender and Discipline Using Scopus Publications 1996-2020
Xinyi Zhao, Samin Aref, Emilio Zagheni, Guy Stecklov
http://arxiv.org/abs/2104.12380v1
• [cs.GR]Efficient Hyperparameter Optimization for Physics-based Character Animation
Zeshi Yang, Zhiqi Yin
http://arxiv.org/abs/2104.12365v1
• [cs.GR]dualFace:Two-Stage Drawing Guidance for Freehand Portrait Sketching
Zhengyu Huang, Yichen Peng, Tomohiro Hibino, Chunqi Zhao, Haoran Xie, Tsukasa Fukusato, Kazunori Miyata
http://arxiv.org/abs/2104.12297v1
• [cs.GT]Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium
Yu-Guan Hsieh, Kimon Antonakopoulos, Panayotis Mertikopoulos
http://arxiv.org/abs/2104.12761v1
• [cs.GT]Cloud computing as a platform for monetizing data services: A two-sided game business model
Ahmed Saleh Bataineh, Jamal Bentahar, Rabeb Mizouni, Omar Abdel Wahab, Gaith Rjoub, May El Barachi
http://arxiv.org/abs/2104.12762v1
• [cs.HC]Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks
Zhibin Niu, Junqi Wu, Dawei Cheng, Jiawan Zhang
http://arxiv.org/abs/2104.11863v1
• [cs.IR]A unified Neural Network Approach to E-CommerceRelevance Learning
Yunjiang Jiang, Yue Shang, Rui Li, Wen-Yun Yang, Guoyu Tang, Chaoyi Ma, Yun Xiao, Eric Zhao
http://arxiv.org/abs/2104.12302v1
• [cs.IR]AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search
Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang
http://arxiv.org/abs/2104.12080v1
• [cs.IR]Attention on Global-Local Embedding Spaces in Recommender Systems
Munlika Rattaphun, Wen-Chieh Fang, Chih-Yi Chiu
http://arxiv.org/abs/2104.12050v1
• [cs.IR]Automatic Description Construction for Math Expression via Topic Relation Graph
Ke Yuan, Zuoyu Yan, Yibo Li, Liangcai Gao, Zhi Tang
http://arxiv.org/abs/2104.11890v1
• [cs.IR]DeepCAT: Deep Category Representation for Query Understanding in E-commerce Search
Ali Ahmadvand, Surya Kallumadi, Faizan Javed, Eugene Agichtein
http://arxiv.org/abs/2104.11760v1
• [cs.IR]Form 10-Q Itemization
Yanci Zhang, Tianming Du, Yujie Sun, Lawrence Donohue, Rui Dai
http://arxiv.org/abs/2104.11783v1
• [cs.IR]Learning Passage Impacts for Inverted Indexes
Antonio Mallia, Omar Khattab, Nicola Tonellotto, Torsten Suel
http://arxiv.org/abs/2104.12016v1
• [cs.IR]Represent Items by Items: An Enhanced Representation of the Target Item for Recommendation
Yinjiang Cai, Zeyu Cui, Shu Wu, Zhen Lei, Xibo Ma
http://arxiv.org/abs/2104.12483v1
• [cs.IT]A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network
B. Fesl, N. Turan, M. Koller, W. Utschick
http://arxiv.org/abs/2104.12667v1
• [cs.IT]CSI-free Rotary Antenna Beamforming for Massive RF Wireless Energy Transfer
Onel L. A. López, Hirley Alves, Samuel Montejo-Sánchez, Richard D. Souza, Matti Latva-aho
http://arxiv.org/abs/2104.12536v1
• [cs.IT]Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications
Chang Liu, Xuemeng Liu, Zhiqiang Wei, Shaokang Hu, Derrick Wing Kwan Ng, Jinhong Yuan
http://arxiv.org/abs/2104.12309v1
• [cs.IT]Hybrid Satellite-UAV-Terrestrial Networks for 6G Ubiquitous Coverage: A Maritime Communications Perspective
Yanmin Wang, Wei Feng, Jue Wang, Tony Q. S. Quek
http://arxiv.org/abs/2104.12077v1
• [cs.IT]HyperRNN: Deep Learning-Aided Downlink CSI Acquisition via Partial Channel Reciprocity for FDD Massive MIMO
Yusha Liu, Osvaldo Simeone
http://arxiv.org/abs/2104.12274v1
• [cs.IT]Index Modulation Based Coordinate Interleaved Orthogonal Design for Secure Communications
Burak Ozpoyraz, Ibrahim Yildirim, Ertugrul Basar
http://arxiv.org/abs/2104.12430v1
• [cs.IT]Intelligent Reflective-Transmissive Metasurfaces for Full-Dimensional Communications: Principles, Technologies, and Implementation
Hongliang Zhang, Shuhao Zeng, Boya Di, Yunhua Tan, Marco Di Renzo, Merouane Debbah, Lingyang Song, Zhu Han, H. Vincent Poor
http://arxiv.org/abs/2104.12313v1
• [cs.IT]Labeling Multipath via Reconfigurable Intelligent Surface
Chang-Jen Wangy, Shang-Ling Shihy, Chao-Kai Weny, Shi Jin
http://arxiv.org/abs/2104.12062v1
• [cs.IT]Membrane Fusion-Based Transmitter Design for Static and Diffusive Mobile Molecular Communication Systems
Xinyu Huang, Yuting Fang, Adam Noel, Nan Yang
http://arxiv.org/abs/2104.11864v1
• [cs.IT]On the Achievable Sum-rate of the RIS-aided MIMO Broadcast Channel
Nemanja Stefan Perović, Le-Nam Tran, Marco Di Renzo, Mark F. Flanagan
http://arxiv.org/abs/2104.12108v1
• [cs.IT]Optimal Transmit Beamforming for Integrated Sensing and Communication
Haocheng Hua, Jie Xu, Tony Xiao Han
http://arxiv.org/abs/2104.11871v1
• [cs.IT]Random Spreading for Unsourced MAC with Power Diversity
Mohammad Javad Ahmadi, Tolga M. Duman
http://arxiv.org/abs/2104.12186v1
• [cs.IT]Reconfigurable Adaptive Channel Sensing
Manuj Mukherjee, Aslan Tchamkerten, Chadi Jabbour
http://arxiv.org/abs/2104.12460v1
• [cs.IT]Task Offloading Optimization in NOMA-Enabled Multi-hop Mobile Edge Computing System Using Conflict Graph
Mohammed S. Al-Abiad, Md. Zoheb Hassan, Md. Jahangir Hossain
http://arxiv.org/abs/2104.11801v1
• [cs.IT]Wireless Federated Learning (WFL) for 6G Networks — Part II: The Compute-then-Transmit NOMA Paradigm
Pavlos S. Bouzinis, Panagiotis D. Diamantoulakis, George K. Karagiannidis
http://arxiv.org/abs/2104.12005v1
• [cs.LG]A Deep Reinforcement Learning Approach for the Meal Delivery Problem
Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayşe Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayşe Başar
http://arxiv.org/abs/2104.12000v1
• [cs.LG]A Survey Of Regression Algorithms And Connections With Deep Learning
Yunpeng Tai
http://arxiv.org/abs/2104.12647v1
• [cs.LG]Achieving Small Test Error in Mildly Overparameterized Neural Networks
Shiyu Liang, Ruoyu Sun, R. Srikant
http://arxiv.org/abs/2104.11895v1
• [cs.LG]Algorithmic Solution for Non-Square, Dense Systems of Linear Equations, with applications in Feature Selection
Nikolaos P. Bakas
http://arxiv.org/abs/2104.12570v1
• [cs.LG]Aligned Contrastive Predictive Coding
Jan Chorowski, Grzegorz Ciesielski, Jarosław Dzikowski, Adrian Łancucki, Ricard Marxer, Mateusz Opala, Piotr Pusz, Paweł Rychlikowski, Michał Stypułkowski
http://arxiv.org/abs/2104.11946v1
• [cs.LG]An Exploration into why Output Regularization Mitigates Label Noise
Neta Shoham, Tomer Avidor, Nadav Israel
http://arxiv.org/abs/2104.12477v1
• [cs.LG]Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration
Jivat Neet Kaur, Yiding Jiang, Paul Pu Liang
http://arxiv.org/abs/2104.11902v1
• [cs.LG]Auto-weighted low-rank representation for clustering
Zhiqiang Fu, Yao Zhao, Dongxia Chang, Xingxing Zhang, Yiming Wang
http://arxiv.org/abs/2104.12308v1
• [cs.LG]Balancing Accuracy and Latency in Multipath Neural Networks
Mohammed Amer, Tomás Maul, Iman Yi Liao
http://arxiv.org/abs/2104.12040v1
• [cs.LG]Boolean Reasoning-Based Biclustering for Shifting Pattern Extraction
Marcin Michalak, Jesús S. Aguilar-Ruiz
http://arxiv.org/abs/2104.12493v1
• [cs.LG]Class-Incremental Experience Replay for Continual Learning under Concept Drift
Łukasz Korycki, Bartosz Krawczyk
http://arxiv.org/abs/2104.11861v1
• [cs.LG]Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression
Zhefeng Qiao, Xianghao Yu, Jun Zhang, Khaled B. Letaief
http://arxiv.org/abs/2104.12416v1
• [cs.LG]Communication-Efficient and Personalized Federated Lottery Ticket Learning
Sejin Seo, Seung-Woo Ko, Jihong Park, Seong-Lyun Kim, Mehdi Bennis
http://arxiv.org/abs/2104.12501v1
• [cs.LG]DC3: A learning method for optimization with hard constraints
Priya L. Donti, David Rolnick, J. Zico Kolter
http://arxiv.org/abs/2104.12225v1
• [cs.LG]DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training
Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin
http://arxiv.org/abs/2104.11981v1
• [cs.LG]Demystification of Few-shot and One-shot Learning
Ivan Y. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou
http://arxiv.org/abs/2104.12174v1
• [cs.LG]Development of a Soft Actor Critic Deep Reinforcement Learning Approach for Harnessing Energy Flexibility in a Large Office Building
Anjukan Kathirgamanathan, Eleni Mangina, Donal P. Finn
http://arxiv.org/abs/2104.12125v1
• [cs.LG]Dominant motion identification of multi-particle system using deep learning from video
Yayati Jadhav, Amir Barati Farimani
http://arxiv.org/abs/2104.12722v1
• [cs.LG]EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
Natalia Díaz-Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
http://arxiv.org/abs/2104.11914v1
• [cs.LG]Efficient Evolutionary Models with Digraphons
Abhinav Tamaskar, Bud Mishra
http://arxiv.org/abs/2104.12748v1
• [cs.LG]Efficient training of physics-informed neural networks via importance sampling
Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani
http://arxiv.org/abs/2104.12325v1
• [cs.LG]Exploring Multi-dimensional Data via Subset Embedding
Peng Xie, Wenyuan Tao, Jie Li, Wentao Huang, Siming Chen
http://arxiv.org/abs/2104.11867v1
• [cs.LG]Fair-Capacitated Clustering
Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
http://arxiv.org/abs/2104.12116v1
• [cs.LG]FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework
Chen Zhao, Zhipeng Gao, Qian Wang, Kaile Xiao, Zijia Mo, M. Jamal Deen
http://arxiv.org/abs/2104.12086v1
• [cs.LG]Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks
Sebastian Szyller, Vasisht Duddu, Tommi Gröndahl, N. Asokan
http://arxiv.org/abs/2104.12623v1
• [cs.LG]How Well Self-Supervised Pre-Training Performs with Streaming Data?
Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng
http://arxiv.org/abs/2104.12081v1
• [cs.LG]Impact of Spatial Frequency Based Constraints on Adversarial Robustness
Rémi Bernhard, Pierre-Alain Moellic, Martial Mermillod, Yannick Bourrier, Romain Cohendet, Miguel Solinas, Marina Reyboz
http://arxiv.org/abs/2104.12679v1
• [cs.LG]Improving Botnet Detection with Recurrent Neural Network and Transfer Learning
Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm
http://arxiv.org/abs/2104.12602v1
• [cs.LG]Instance-wise Causal Feature Selection for Model Interpretation
Pranoy Panda, Sai Srinivas Kancheti, Vineeth N Balasubramanian
http://arxiv.org/abs/2104.12759v1
• [cs.LG]Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks
Osman Boyaci, Mohammad Rasoul Narimani, Katherine Davis, Muhammad Ismail, Thomas J Overbye, Erchin Serpedin
http://arxiv.org/abs/2104.11846v1
• [cs.LG]LGD-GCN: Local and Global Disentangled Graph Convolutional Networks
Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang
http://arxiv.org/abs/2104.11893v1
• [cs.LG]Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT
Pavlos Papadopoulos, Oliver Thornewill von Essen, Nikolaos Pitropakis, Christos Chrysoulas, Alexios Mylonas, William J. Buchanan
http://arxiv.org/abs/2104.12426v1
• [cs.LG]Math Operation Embeddings for Open-ended Solution Analysis and Feedback
Mengxue Zhang, Zichao Wang, Richard Baraniuk, Andrew Lan
http://arxiv.org/abs/2104.12047v1
• [cs.LG]Measuring Novelty in Autonomous Vehicles Motion Using Local Outlier Factor Algorithm
Hassan Alsawadi, Muhammad Bilal
http://arxiv.org/abs/2104.11970v1
• [cs.LG]On the Comparison between Cyclic Sampling and Random Reshuffling
Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin
http://arxiv.org/abs/2104.12112v1
• [cs.LG]One-parameter family of acquisition functions for efficient global optimization
Takuya Kanazawa
http://arxiv.org/abs/2104.12363v1
• [cs.LG]Optimal Dynamic Regret in Exp-Concave Online Learning
Dheeraj Baby, Yu-Xiang Wang
http://arxiv.org/abs/2104.11824v1
• [cs.LG]Partitioning sparse deep neural networks for scalable training and inference
Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu
http://arxiv.org/abs/2104.11805v1
• [cs.LG]Powered Dirichlet Process for Controlling the Importance of “Rich-Get-Richer” Prior Assumptions in Bayesian Clustering
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
http://arxiv.org/abs/2104.12485v1
• [cs.LG]RP-DQN: An application of Q-Learning to Vehicle Routing Problems
Ahmad Bdeir, Simon Boeder, Tim Dernedde, Kirill Tkachuk, Jonas K. Falkner, Lars Schmidt-Thieme
http://arxiv.org/abs/2104.12226v1
• [cs.LG]Selecting a number of voters for a voting ensemble
Eric Bax
http://arxiv.org/abs/2104.11833v1
• [cs.LG]Short-term forecast of EV charging stations occupancy probability using big data streaming analysis
Francesca Soldan, Enea Bionda, Giuseppe Mauri, Silvia Celaschi
http://arxiv.org/abs/2104.12503v1
• [cs.LG]Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks
Sayeed Shafayet Chowdhury, Isha Garg, Kaushik Roy
http://arxiv.org/abs/2104.12528v1
• [cs.LG]Stochastic Recurrent Neural Network for Multistep Time Series Forecasting
Zexuan Yin, Paolo Barucca
http://arxiv.org/abs/2104.12311v1
• [cs.LG]Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning
Zhi Chen, Jiang Duan, Li Kang, Guoping Qiu
http://arxiv.org/abs/2104.11952v1
• [cs.LG]Syft 0.5: A Platform for Universally Deployable Structured Transparency
Adam James Hall, Madhava Jay, Tudor Cebere, Bogdan Cebere, Koen Lennart van der Veen, George Muraru, Tongye Xu, Patrick Cason, William Abramson, Ayoub Benaissa, Chinmay Shah, Alan Aboudib, Théo Ryffel, Kritika Prakash, Tom Titcombe, Varun Kumar Khare, Maddie Shang, Ionesio Junior, Animesh Gupta, Jason Paulmier, Nahua Kang, Andrew Trask
http://arxiv.org/abs/2104.12385v1
• [cs.LG]Towards Rigorous Interpretations: a Formalisation of Feature Attribution
Darius Afchar, Romain Hennequin, Vincent Guigue
http://arxiv.org/abs/2104.12437v1
• [cs.LG]Towards Sustainable Census Independent Population Estimation in Mozambique
Isaac Neal, Sohan Seth, Gary Watmough, Mamadou Saliou Diallo
http://arxiv.org/abs/2104.12696v1
• [cs.LG]Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network
Amit Roy, Kashob Kumar Roy, Amin Ahsan Ali, M Ashraful Amin, A K M Mahbubur Rahman
http://arxiv.org/abs/2104.12518v1
• [cs.LG]Weakly Supervised Multi-task Learning for Concept-based Explainability
Catarina Belém, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro
http://arxiv.org/abs/2104.12459v1
• [cs.LG]baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents
Michael A. Alcorn, Anh Nguyen
http://arxiv.org/abs/2104.11980v1
• [cs.MM]ANT: Learning Accurate Network Throughput for Better Adaptive Video Streaming
Jiaoyang Yin, Yiling Xu, Hao Chen, Yunfei Zhang, Steve Appleby, Zhan Ma
http://arxiv.org/abs/2104.12507v1
• [cs.NE]OPTION: OPTImization Algorithm Benchmarking ONtology
Ana Kostovska, Diederick Vermetten, Carola Doerr, Sašo Džeroski, Panče Panov, Tome Eftimov
http://arxiv.org/abs/2104.11889v1
• [cs.NE]Particle Swarms Reformulated towards a Unified and Flexible Framework
Mauro Sebastián Innocente
http://arxiv.org/abs/2104.12475v1
• [cs.NI]Generalized ADMM in Distributed Learning via Variational Inequality
Saeedeh Parsaeefard, Alberto Leon Garcia
http://arxiv.org/abs/2104.12608v1
• [cs.NI]Improving 6TiSCH Reliability and Latency with Simultaneous Multi-Band Operation
Marcus Vinicius Bunn, Richard Demo Souza, Guilherme Luiz Moritz
http://arxiv.org/abs/2104.12482v1
• [cs.NI]On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks
Valentina Rossi, Paolo Testolina, Marco Giordani, Michele Zorzi
http://arxiv.org/abs/2104.11785v1
• [cs.NI]Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang
http://arxiv.org/abs/2104.12678v1
• [cs.RO]A Robustness Analysis of Inverse Optimal Control of Bipedal Walking
John R. Rebula, Stefan Schaal, James Finley, Ludovic Righetti
http://arxiv.org/abs/2104.12042v1
• [cs.RO]Adaptive Sampling: Algorithmic vs. Human Waypoint Selection
Stephanie Kemna, Sara Kangaslahti, Oliver Kroemer, Gaurav S. Sukhatme
http://arxiv.org/abs/2104.11962v1
• [cs.RO]An Interval Branch-and-Bound-Based Inverse Kinemetics Algorithm Towards Global Optimal Redundancy Resolution
Yajue Yang, Yuanqing Wu, Jia Pan
http://arxiv.org/abs/2104.12183v1
• [cs.RO]CFNet: LiDAR-Camera Registration Using Calibration Flow Network
Xudong Lv, Boya Wang, Ziwen Dou, Dong Ye, Shuo Wang
http://arxiv.org/abs/2104.11907v1
• [cs.RO]COMTEST Project: A Complete Modular Test Stand for Human and Humanoid Posture Control and Balance
Vittorio Lippi, Thomas Mergner, Thomas Seel, Christoph Maurer
http://arxiv.org/abs/2104.11935v1
• [cs.RO]Computing a Task-Dependent Grasp Metric Using Second Order Cone Programs
Amin Fakhari, Aditya Patankar, Jiayin Xie, Nilanjan Chakraborty
http://arxiv.org/abs/2104.12158v1
• [cs.RO]Drone Launched Short Range Rockets
Mikhail Shubov
http://arxiv.org/abs/2104.11831v1
• [cs.RO]Implementing Virtual Reality for Teleoperation of a Humanoid Robot
Jordan Allspaw, Gregory LeMasurier, Holly Yanco
http://arxiv.org/abs/2104.11826v1
• [cs.RO]KDF: Kinodynamic Motion Planning via Geometric Sampling-based Algorithms and Funnel Control
Christos K. Verginis, Dimos V. Dimarogonas, Lydia E. Kavraki
http://arxiv.org/abs/2104.11917v1
• [cs.RO]Learning Latent Graph Dynamics for Deformable Object Manipulation
Xiao Ma, David Hsu, Wee Sun Lee
http://arxiv.org/abs/2104.12149v1
• [cs.RO]MILIOM: Tightly Coupled Multi-Input Lidar-Inertia Odometry and Mapping
Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao, Yang Lyu, Thien Hoang Nguyen, Lihua Xie
http://arxiv.org/abs/2104.11888v1
• [cs.RO]Motion based Extrinsic Calibration of a 3D Lidar and an IMU
Subodh Mishra, Gaurav Pandey, Srikanth Saripalli
http://arxiv.org/abs/2104.12280v1
• [cs.RO]MultiCruise: Eco-Lane Selection Strategy with Eco-Cruise Control for Connected and Automated Vehicles
Shunsuke Aoki, Lung En Jan, Junfeng Zhao, Anand Bhat, Chen-Fang Chang, Ragunathan, Rajkumar
http://arxiv.org/abs/2104.11959v1
• [cs.RO]Optimal Algorithm Allocation for Robotic Network Cloud Systems
Saeid Alirezazadeh, André Correia, Luís A. Alexandre
http://arxiv.org/abs/2104.12710v1
• [cs.RO]Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots
Enrico Zardini, Davide Zappetti, Davide Zambrano, Giovanni Iacca, Dario Floreano
http://arxiv.org/abs/2104.12175v1
• [cs.RO]Semi-Autonomous Planning and Visualization in Virtual Reality
Gregory LeMasurier, Jordan Allspaw, Holly A. Yanco
http://arxiv.org/abs/2104.11827v1
• [cs.RO]UNIFY: Multi-Belief Bayesian Grid Framework based on Automotive Radar
Stefan Haag, Bharanidhar Duraisamy, Daniel Pfrommer, Wolfgang Koch, Martin Fritzsche, Jurgen Dickmann
http://arxiv.org/abs/2104.11979v1
• [cs.RO]Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances
Jonathan Horgan, Ciarán Hughes, John McDonald, Senthil Yogamani
http://arxiv.org/abs/2104.12583v1
• [cs.SD]An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion
Sandipan Dhar, Nanda Dulal Jana, Swagatam Das
http://arxiv.org/abs/2104.12159v1
• [cs.SD]MusCaps: Generating Captions for Music Audio
Ilaria Manco, Emmanouil Benetos, Elio Quinton, Gyorgy Fazekas
http://arxiv.org/abs/2104.11984v1
• [cs.SD]Music Embedding: A Tool for Incorporating Music Theory into Computational Music Applications
SeyyedPooya HekmatiAthar, Mohd Anwar
http://arxiv.org/abs/2104.11880v1
• [cs.SD]Points2Sound: From mono to binaural audio using 3D point cloud scenes
Francesc Lluís, Vasileios Chatziioannou, Alex Hofmann
http://arxiv.org/abs/2104.12462v1
• [cs.SE]DABT: A Dependency-aware Bug Triaging Method
Hadi Jahanshahi, Kritika Chhabra, Mucahit Cevik, Ayşe Başar
http://arxiv.org/abs/2104.12744v1
• [cs.SE]Predicting the Number of Reported Bugs in a Software Repository
Hadi Jahanshahi, Mucahit Cevik, Ayşe Başar
http://arxiv.org/abs/2104.12001v1
• [cs.SI]Privacy as a Planned Behavior: Effects of Situational Factors on Privacy Perceptions and Plans
A K M Nuhil Mehdy, Michael D. Ekstrand, Bart P. Knijnenburg, Hoda Mehrpouyan
http://arxiv.org/abs/2104.11847v1
• [cs.SI]User Preference-aware Fake News Detection
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
http://arxiv.org/abs/2104.12259v1
• [econ.EM]Performance of Empirical Risk Minimization for Linear Regression with Dependent Data
Christian Brownlees, Guðmundur Stefán Guðmundsson
http://arxiv.org/abs/2104.12127v1
• [eess.AS]Language ID Prediction from Speech Using Self-Attentive Pooling and 1D-Convolutions
Roman Bedyakin, Nikolay Mikhaylovskiy
http://arxiv.org/abs/2104.11985v1
• [eess.AS]Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis
Kosuke Futamata, Byeongseon Park, Ryuichi Yamamoto, Kentaro Tachibana
http://arxiv.org/abs/2104.12395v1
• [eess.IV]A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images
Fahdi Kanavati, Masayuki Tsuneki
http://arxiv.org/abs/2104.12478v1
• [eess.IV]Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning
Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, Jonathan Heras, Alireza Rahimi, Assef Zare, Ram Bilas Pachori, J. Manuel Gorriz
http://arxiv.org/abs/2104.11949v1
• [eess.IV]Clean Images are Hard to Reblur: A New Clue for Deblurring
Seungjun Nah, Sanghyun Son, Jaerin Lee, Kyoung Mu Lee
http://arxiv.org/abs/2104.12665v1
• [eess.IV]Deep Convolutional Neural Network for Non-rigid Image Registration
Eduard F. Durech
http://arxiv.org/abs/2104.12034v1
• [eess.IV]FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
Longling Zhang, Bochen Shen, Ahmed Barnawi, Shan Xi, Neeraj Kumar, Yi Wu
http://arxiv.org/abs/2104.12581v1
• [eess.IV]Learning to Address Intra-segment Misclassification in Retinal Imaging
Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse Keane, Daniel Alexander
http://arxiv.org/abs/2104.12138v1
• [eess.IV]Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images
Xiaowe Xu, Jiawei Zhang, Jinglan Liu, Yukun Ding, Tianchen Wang, Hailong Qiu, Haiyun Yuan, Jian Zhuang, Wen Xie, Yuhao Dong, Qianjun Jia, Meiping Huang, Yiyu Shi
http://arxiv.org/abs/2104.12044v1
• [eess.IV]Multi-Scale Hourglass Hierarchical Fusion Network for Single Image Deraining
Xiang Chen, Yufeng Huang, Lei Xu
http://arxiv.org/abs/2104.12100v1
• [eess.IV]Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging
Max-Heinrich Laves, Sontje Ihler, Jacob F. Fast, Lüder A. Kahrs, Tobias Ortmaier
http://arxiv.org/abs/2104.12376v1
• [eess.IV]Swimmer Stroke Rate Estimation From Overhead Race Video
Timothy Woinoski, Ivan V. Bajić
http://arxiv.org/abs/2104.12056v1
• [eess.SP]Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data
Lucas Cassiel Jacaruso
http://arxiv.org/abs/2104.12284v1
• [eess.SP]Game-Theoretic Mode Scheduling for Dynamic TDD in 5G Systems
Chandan Kumar Sheemar, Leonardo Badia, Stefano Tomasin
http://arxiv.org/abs/2104.12367v1
• [eess.SP]Joint Activity Detection and Data Decoding in Massive Random Access via a Turbo Receiver
Xinyu Bian, Yuyi Mao, Jun Zhang
http://arxiv.org/abs/2104.12443v1
• [eess.SP]Scalable End-to-End RF Classification: A Case Study on Undersized Dataset Regularization by Convolutional-MST
Khalid Youssef, Greg Schuette, Yubin Cai, Daisong Zhang, Yikun Huang, Yahya Rahmat-Samii, Louis-S. Bouchard
http://arxiv.org/abs/2104.12103v1
• [eess.SP]Simultaneous Wireless Information and Power Transfer for Federated Learning
José Mairton B. da Silva Jr., Konstantinos Ntougias, Ioannis Krikidis, Gábor Fodor, Carlo Fischione
http://arxiv.org/abs/2104.12749v1
• [eess.SP]Symplectic Transformations on Wigner Distributions and Time Frequency Signal Design
Eren Berk Kama, Mustafa Kuzuoğlu
http://arxiv.org/abs/2104.12703v1
• [eess.SP]Uncertainty Relations for MIMO Ambiguity Functions
Eren Berk Kama, Mustafa Kuzuoğlu
http://arxiv.org/abs/2104.12691v1
• [hep-ph]Invariant polynomials and machine learning
Ward Haddadin
http://arxiv.org/abs/2104.12733v1
• [math.FA]On the stability of deep convolutional neural networks under irregular or random deformations
Fabio Nicola, S. Ivan Trapasso
http://arxiv.org/abs/2104.11977v1
• [math.NA]Bayesian Numerical Methods for Nonlinear Partial Differential Equations
Junyang Wang, Jon Cockayne, Oksana Chkrebtii, T. J. Sullivan, Chris. J. Oates
http://arxiv.org/abs/2104.12587v1
• [math.NA]Operator Augmentation for General Noisy Matrix Systems
Philip Etter, Lexing Ying
http://arxiv.org/abs/2104.11294v1
• [math.NA]Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization
Pascal Fernsel
http://arxiv.org/abs/2104.12289v1
• [math.OC]An Asynchronous Approximate Distributed Alternating Direction Method of Multipliers in Digraphs
Wei Jiang, Andreas Grammenos, Evangelia Kalyvianaki, Themistoklis Charalambous
http://arxiv.org/abs/2104.11866v1
• [math.OC]Efficient Formulation of Collision Avoidance Constraints in Optimization Based Trajectory Planning and Control
Max Lutz, Thomas Meurer
http://arxiv.org/abs/2104.12641v1
• [math.OC]Solving a class of non-convex min-max games using adaptive momentum methods
Babak Barazandeh, Davoud Ataee Tarzanagh, George Michailidis
http://arxiv.org/abs/2104.12676v1
• [math.PR]A class of dimensionality-free metrics for the convergence of empirical measures
Jiequn Han, Ruimeng Hu, Jihao Long
http://arxiv.org/abs/2104.12036v1
• [math.ST]Bayesian predictive inference without a prior
Patrizia Berti, Emanuela Dreassi, Fabrizio Leisen, Pietro Rigo, Luca Pratelli
http://arxiv.org/abs/2104.11643v2
• [math.ST]Consistency of invariance-based randomization tests
Edgar Dobriban
http://arxiv.org/abs/2104.12260v1
• [math.ST]Generalized heterogeneous hypergeometric functions and the distribution of the largest eigenvalue of an elliptical Wishart matrix
Aya Shinozaki, Koki Shimizu, Koki Shimizu
http://arxiv.org/abs/2104.12552v1
• [math.ST]Nonparametric estimation of marginal distributions for unordered pairs
L. Dumitrescu, D. Harcourt
http://arxiv.org/abs/2104.11371v1
• [math.ST]Valid Heteroskedasticity Robust Testing
Benedikt M. Pötscher, David Preinerstorfer
http://arxiv.org/abs/2104.12597v1
• [math.ST]Variational Inference in high-dimensional linear regression
Sumit Mukherjee, Subhabrata Sen
http://arxiv.org/abs/2104.12232v1
• [physics.ao-ph]Bridging observation, theory and numerical simulation of the ocean using Machine Learning
Maike Sonnewald, Redouane Lguensat, Daniel C. Jones, Peter D. Dueben, Julien Brajard, Venkatramani Balaji
http://arxiv.org/abs/2104.12506v1
• [q-bio.GN]Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer
Debaditya Chakraborty, Cristina Ivan, Paola Amero, Maliha Khan, Cristian Rodriguez-Aguayo, Hakan Başağaoğlu, Gabriel Lopez-Berestein
http://arxiv.org/abs/2104.12021v1
• [q-bio.NC]Neurodynamical Role of STDP in Storage and Retrieval of Associative Information
Hongkyu Yoon, Pilwon Kim
http://arxiv.org/abs/2104.12249v1
• [q-fin.MF]Generative Adversarial Network: Some Analytical Perspectives
Haoyang Cao, Xin Guo
http://arxiv.org/abs/2104.12210v1
• [stat.AP]A functional autoregressive model based on exogenous hydrometeorological variables for river flow prediction
Ufuk Beyaztas, Han Lin Shang, Zaher Mundher Yaseen
http://arxiv.org/abs/2104.12431v1
• [stat.AP]Establishing phone-pair co-usage by comparing mobility patterns
Wauter Bosma, Sander Dalm, Erwin van Eijk, Rachid el Harchaoui, Edwin Rijgersberg, Hannah Tereza Tops, Alle Veenstra, Rolf Ypma
http://arxiv.org/abs/2104.11683v2
• [stat.AP]Identification of high-energy astrophysical point sources via hierarchical Bayesian nonparametric clustering
Andrea Sottosanti, Mauro Bernardi, Alessandra R. Brazzale, Alex Geringer-Sameth, David C. Stenning, Roberto Trotta, David A. van Dyk
http://arxiv.org/abs/2104.11492v2
• [stat.CO]Algorithms for finding generalized minimum aberration designs
Dursun A. Bulutoglu, Kenneth J. Ryan
http://arxiv.org/abs/2104.12588v1
• [stat.ME]Benchmarking survival outcomes: A funnel plot for survival data
Hein Putter, Dirk-Jan Eikema, Liesbeth C. de Wreede, Eoin McGrath, Isabel Sanchez-Ortega, Riccardo Saccardi, John A. Snowden, Erik W. van Zwet
http://arxiv.org/abs/2104.12688v1
• [stat.ME]Constrained Minimum Energy Designs
Chaofan Huang, V. Roshan Joseph, Douglas M. Ray
http://arxiv.org/abs/2104.11963v1
• [stat.ME]Contraction of a quasi-Bayesian model with shrinkage priors in precision matrix estimation
Ruoyang Zhang, Yisha Yao, Malay Ghosh
http://arxiv.org/abs/2104.12060v1
• [stat.ME]Data-Based Optimal Bandwidth for Kernel Density Estimation of Statistical Samples
Zhen-Wei Li, Ping He
http://arxiv.org/abs/2104.12301v1
• [stat.ME]Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms
Hannah Li, Geng Zhao, Ramesh Johari, Gabriel Y. Weintraub
http://arxiv.org/abs/2104.12222v1
• [stat.ME]Matrix Normal Cluster-Weighted Models
Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo
http://arxiv.org/abs/2104.11900v1
• [stat.ME]Modeling Risk via Realized HYGARCH Model
El Hadji Mamadou Sall, El Hadji Deme, Abdou Ka Diongue
http://arxiv.org/abs/2104.12409v1
• [stat.ME]Robust selection of predictors and conditional outlier detection in a perturbed large-dimensional regression context
Matteo Farnè, Angelos Vouldis
http://arxiv.org/abs/2104.12208v1
• [stat.ME]System identification using Bayesian neural networks with nonparametric noise models
Christos Merkatas, Simo Särkkä
http://arxiv.org/abs/2104.12119v1
• [stat.ME]The GLD-plot: A depth-based plot to investigate unimodality of directional data
Giuseppe Pandolfo
http://arxiv.org/abs/2104.11965v1
• [stat.ME]Transporting treatment effects with incomplete attributes
Imke Mayer, Julie Josse, Traumabase Group
http://arxiv.org/abs/2104.12639v1
• [stat.ME]Valid Post-Detection Inference for Change Points Identified Using Trend Filtering
Reza Valiollahi Mehrizi, Shojaeddin Chenouri
http://arxiv.org/abs/2104.12022v1
• [stat.ML]Algorithms for ridge estimation with convergence guarantees
Wanli Qiao, Wolfgang Polonik
http://arxiv.org/abs/2104.12314v1
• [stat.ML]Breiman’s two cultures: You don’t have to choose sides
Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
http://arxiv.org/abs/2104.12219v1
• [stat.ML]Consistency issues in Gaussian Mixture Models reduction algorithms
A. D’Ortenzio, C. Manes
http://arxiv.org/abs/2104.12586v1
• [stat.ML]Deep Probabilistic Graphical Modeling
Adji B. Dieng
http://arxiv.org/abs/2104.12053v1
• [stat.ML]Evaluating the performance of personal, social, health-related, biomarker and genetic data for predicting an individuals future health using machine learning: A longitudinal analysis
Mark Green
http://arxiv.org/abs/2104.12516v1
• [stat.ML]Finite sample approximations of exact and entropic Wasserstein distances between covariance operators and Gaussian processes
Minh Ha Quang
http://arxiv.org/abs/2104.12368v1
• [stat.ML]Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence
Yuetian Luo, Anru R. Zhang
http://arxiv.org/abs/2104.12031v1
• [stat.ML]Machine Learning Approaches for Inferring Liver Diseases and Detecting Blood Donors from Medical Diagnosis
Fahad B. Mostafa, Md Easin Hasan
http://arxiv.org/abs/2104.12055v1
• [stat.ML]Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
Andrew C. Miller, Leon A. Gatys, Joseph Futoma, Emily B. Fox
http://arxiv.org/abs/2104.12231v1
• [stat.ML]Predicting Depressive Symptom Severity through Individuals’ Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study
Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun, Nicholas Cummins, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Petroula Laiou, Faith Matcham, Carolin Oetzmann, Femke Lamers, Sara Siddi, Sara Simblett, Aki Rintala, David C Mohr, Inez Myin-Germeys, Til Wykes, Josep Maria Haro, Brenda WJH Pennix, Vaibhav A Narayan, Peter Annas, Matthew Hotopf, Richard JB Dobson
http://arxiv.org/abs/2104.12407v1
• [stat.ML]Sampling Permutations for Shapley Value Estimation
Rory Mitchell, Joshua Cooper, Eibe Frank, Geoffrey Holmes
http://arxiv.org/abs/2104.12199v1
• [stat.ML]Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations
J. M. Sanz-Serna, Konstantinos C. Zygalakis
http://arxiv.org/abs/2104.12384v1
• [stat.ML]tsrobprep — an R package for robust preprocessing of time series data
Michał Narajewski, Jens Kley-Holsteg, Florian Ziel
http://arxiv.org/abs/2104.12657v1
• [stat.OT]A very short guide to IOI: A general framework for statistical inference summarised
Russell J. Bowater