cond-mat.dis-nn - 无序系统与神经网络 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.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.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 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 physics.flu-dyn - 流体动力学 q-bio.NC - 神经元与认知 q-fin.PR - 证券定价 q-fin.ST - 统计金融学 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
• [cond-mat.dis-nn]Variational Neural Annealing
• [cs.AI]BF++:a language for general-purpose neural program synthesis
• [cs.AI]Cognitive Perspectives on Context-based Decisions and Explanations
• [cs.AI]Context-Specific Likelihood Weighting
• [cs.AI]Deep Learning for General Game Playing with Ludii and Polygames
• [cs.AI]Explainable Artificial Intelligence Approaches: A Survey
• [cs.AI]Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels
• [cs.AI]Improving Continuous-time Conflict Based Search
• [cs.AI]Solving a Multi-resource Partial-ordering Flexible Variant of the Job-shop Scheduling Problem with Hybrid ASP
• [cs.AI]Theory of Mind for Deep Reinforcement Learning in Hanabi
• [cs.CL]-Neighbor Based Curriculum Sampling for Sequence Prediction
• [cs.CL]A Hybrid Approach to Measure Semantic Relatedness in Biomedical Concepts
• [cs.CL]A Novel Two-stage Framework for Extracting Opinionated Sentences from News Articles
• [cs.CL]A Simple Disaster-Related Knowledge Base for Intelligent Agents
• [cs.CL]A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction
• [cs.CL]A2P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks
• [cs.CL]ARTH: Algorithm For Reading Text Handily — An AI Aid for People having Word Processing Issues
• [cs.CL]Analyzing Team Performance with Embeddings from Multiparty Dialogues
• [cs.CL]BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets
• [cs.CL]Belief-based generation of Argumentative Claims
• [cs.CL]Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access Track in DSTC9
• [cs.CL]CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata
• [cs.CL]Censorship of Online Encyclopedias: Implications for NLP Models
• [cs.CL]Cross-lingual Visual Pre-training for Multimodal Machine Translation
• [cs.CL]Debiasing Pre-trained Contextualised Embeddings
• [cs.CL]Dictionary-based Debiasing of Pre-trained Word Embeddings
• [cs.CL]Does Dialog Length matter for Next Response Selection task? An Empirical Study
• [cs.CL]Does Head Label Help for Long-Tailed Multi-Label Text Classification
• [cs.CL]Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer
• [cs.CL]EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information
• [cs.CL]Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection
• [cs.CL]Evaluating Models of Robust Word Recognition with Serial Reproduction
• [cs.CL]Extracting Lifestyle Factors for Alzheimer’s Disease from Clinical Notes Using Deep Learning with Weak Supervision
• [cs.CL]Facilitating Terminology Translation with Target Lemma Annotations
• [cs.CL]FakeFlow: Fake News Detection by Modeling the Flow of Affective Information
• [cs.CL]Fast Sequence Generation with Multi-Agent Reinforcement Learning
• [cs.CL]GP: Context-free Grammar Pre-training for Text-to-SQL Parsers
• [cs.CL]Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks
• [cs.CL]Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale
• [cs.CL]MadDog: A Web-based System for Acronym Identification and Disambiguation
• [cs.CL]On the Evolution of Word Order
• [cs.CL]Open-Mindedness and Style Coordination in Argumentative Discussions
• [cs.CL]PAWLS: PDF Annotation With Labels and Structure
• [cs.CL]Process-Level Representation of Scientific Protocols with Interactive Annotation
• [cs.CL]RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding
• [cs.CL]Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild
• [cs.CL]RomeBERT: Robust Training of Multi-Exit BERT
• [cs.CL]Slot Self-Attentive Dialogue State Tracking
• [cs.CL]SpanEmo: Casting Multi-label Emotion Classification as Span-prediction
• [cs.CL]Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
• [cs.CL]TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics
• [cs.CL]Towards Natural Language Question Answering over Earth Observation Linked Data using Attention-based Neural Machine Translation
• [cs.CL]Training Multilingual Pre-trained Language Model with Byte-level Subwords
• [cs.CL]Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications
• [cs.CL]WangchanBERTa: Pretraining transformer-based Thai Language Models
• [cs.CL]WebSRC: A Dataset for Web-Based Structural Reading Comprehension
• [cs.CL]With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms
• [cs.CR]Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey
• [cs.CR]Trusted Data Notifications from Private Blockchains
• [cs.CV]4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data
• [cs.CV]A Comprehensive Evaluation Framework for Deep Model Robustness
• [cs.CV]A Dual-branch Network for Infrared and Visible Image Fusion
• [cs.CV]A Joint Representation Learning and Feature Modeling Approach for One-class Recognition
• [cs.CV]A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network
• [cs.CV]A Two-stage Framework for Compound Figure Separation
• [cs.CV]ATRM: Attention-based Task-level Relation Module for GNN-based Few-shot Learning
• [cs.CV]Adversarial Text-to-Image Synthesis: A Review
• [cs.CV]BSUV-Net 2.0: Spatio-Temporal Data Augmentations for Video-AgnosticSupervised Background Subtraction
• [cs.CV]Camera Invariant Feature Learning for Generalized Face Anti-spoofing
• [cs.CV]Classic versus deep approaches to address computer vision challenges
• [cs.CV]Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data
• [cs.CV]Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning
• [cs.CV]Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization
• [cs.CV]ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning
• [cs.CV]Error Diffusion Halftoning Against Adversarial Examples
• [cs.CV]Exploitation of Image Statistics with Sparse Coding in the Case of Stereo Vision
• [cs.CV]Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones
• [cs.CV]Fighting deepfakes by detecting GAN DCT anomalies
• [cs.CV]Fixed Viewpoint Mirror Surface Reconstruction under an Uncalibrated Camera
• [cs.CV]FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical Flow
• [cs.CV]Gigapixel Histopathological Image Analysis using Attention-based Neural Networks
• [cs.CV]Grad-CAM guided channel-spatial attention module for fine-grained visual classification
• [cs.CV]ISP Distillation
• [cs.CV]Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views
• [cs.CV]Learning degraded image classification with restoration data fidelity
• [cs.CV]Lightweight Convolutional Neural Network with Gaussian-based Grasping Representation for Robotic Grasping Detection
• [cs.CV]Machine Learning in LiDAR 3D point clouds
• [cs.CV]Mask-based Data Augmentation for Semi-supervised Semantic Segmentation
• [cs.CV]Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
• [cs.CV]MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance
• [cs.CV]Network-Agnostic Knowledge Transfer for Medical Image Segmentation
• [cs.CV]Next-best-view Regression using a 3D Convolutional Neural Network
• [cs.CV]OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World
• [cs.CV]Performance Evaluation of Convolutional Neural Networks for Gait Recognition
• [cs.CV]Proba-V-ref: Repurposing the Proba-V challenge for reference-aware super resolution
• [cs.CV]Pruning and Quantization for Deep Neural Network Acceleration: A Survey
• [cs.CV]RGB-D Salient Object Detection via 3D Convolutional Neural Networks
• [cs.CV]Real-Time, Flight-Ready, Non-Cooperative Spacecraft Pose Estimation Using Monocular Imagery
• [cs.CV]S-BEV: Semantic Birds-Eye View Representation for Weather and Lighting Invariant 3-DoF Localization
• [cs.CV]Sequence-based Dynamic Handwriting Analysis for Parkinson’s Disease Detection with One-dimensional Convolutions and BiGRUs
• [cs.CV]Spatio-temporal Data Augmentation for Visual Surveillance
• [cs.CV]Spectral Leakage and Rethinking the Kernel Size in CNNs
• [cs.CV]Supervision by Registration and Triangulation for Landmark Detection
• [cs.CV]The Role of Edges in Line Drawing Perception
• [cs.CV]The emergence of visual semantics through communication games
• [cs.CV]They See Me Rollin’: Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors
• [cs.CV]Transferable Interactiveness Knowledge for Human-Object Interaction Detection
• [cs.CV]Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors
• [cs.CV]VConstruct: Filling Gaps in Chl-a Data Using a Variational Autoencoder
• [cs.CV]VIO-Aided Structure from Motion Under Challenging Environments
• [cs.CV]Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation
• [cs.CV]Weakly Supervised Learning for Facial Behavior Analysis : A Review
• [cs.CV]Weakly Supervised Thoracic Disease Localization via Disease Masks
• [cs.CV]Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features
• [cs.CV]cGANs for Cartoon to Real-life Images
• [cs.CY]Automatic Monitoring Social Dynamics During Big Incidences: A Case Study of COVID-19 in Bangladesh
• [cs.CY]Black Feminist Musings on Algorithmic Oppression
• [cs.CY]Neurocognitive and traffic based handover strategies
• [cs.CY]Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems
• [cs.CY]Re-imagining Algorithmic Fairness in India and Beyond
• [cs.CY]Trinational Automated Mobility
• [cs.DB]Multi-attributed Community Search in Road-social Networks
• [cs.DC]Approximate Byzantine Fault-Tolerance in Distributed Optimization
• [cs.DC]Combining SimTrust and Weighted Simple Exponential Smoothing
• [cs.DC]Formal Definitions of Memory Consistency Models
• [cs.DC]HyCoR: Fault-Tolerant Replicated Containers Based on Checkpoint and Replay
• [cs.DC]Independent Spanning Trees in Eisenstein-Jacobi Networks
• [cs.DC]Novel Dynamic Load Balancing Algorithm for Cloud-Based Big Data Analytics
• [cs.DC]Online Memory Leak Detection in the Cloud-based Infrastructures
• [cs.DC]User-Level Memory Scheduler for Optimizing Application Performance in NUMA-Based Multicore Systems
• [cs.DL]Ants-Review: a Protocol for Incentivized Open Peer-Reviews on Ethereum
• [cs.HC]Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
• [cs.HC]E-cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach — A Case Study
• [cs.HC]GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial Networks
• [cs.HC]Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity
• [cs.IR]Advances and Challenges in Conversational Recommender Systems: A Survey
• [cs.IR]Estimating the Total Volume of Queries to a Search Engine
• [cs.IR]Explanation as a Defense of Recommendation
• [cs.IR]MICROS: Mixed-Initiative ConveRsatiOnal Systems Workshop
• [cs.IR]Parametric Rectified Power Sigmoid Units: Learning Nonlinear Neural Transfer Analytical Forms
• [cs.IT]A Linear Reduction Method for Local Differential Privacy and Log-lift
• [cs.IT]A Search Method for Large Polarization Kernels
• [cs.IT]A note on simplified SINR expressions for OFDM with insufficient CP
• [cs.IT]Age Debt: A General Framework For Minimizing Age of Information
• [cs.IT]Automorphism Groups and Isometries for Cyclic Orbit Codes
• [cs.IT]Beurling-type density criteria for system identification
• [cs.IT]Channel Estimation for RIS Assisted Wireless Communications: Part I — Fundamentals, Solutions, and Future Opportunities
• [cs.IT]Channel Estimation for RIS Assisted Wireless Communications: Part II — An Improved Solution Based on Double-Structured Sparsity
• [cs.IT]Codes approaching the Shannon limit with polynomial complexity per information bit
• [cs.IT]Complementary Waveforms for Range-Doppler Sidelobe Suppression Based on a Null Space Approach
• [cs.IT]Computability of the Channel Reliability Function and Related Bounds
• [cs.IT]Correctable Erasure Patterns in Product Topologies
• [cs.IT]Decentralized and Online Coded Caching with Shared Caches: Fundamental Limits with Uncoded Prefetching
• [cs.IT]Design and Analysis of Wideband Full-Duplex FR2-IAB Networks
• [cs.IT]GRADE-AO: Towards Near-Optimal Spatially-Coupled Codes With High Memories
• [cs.IT]Information Bottleneck for an Oblivious Relay with Channel State Information: the Vector Case
• [cs.IT]Is Phase Shift Keying Optimal for Channels with Phase-Quantized Output?
• [cs.IT]Joint Active and Passive Beamforming for Intelligent Reflecting Surface Aided Multiuser MIMO Communications
• [cs.IT]Joint Design of Hybrid Beamforming and Phase Shifts in RIS-Aided mmWave Communication Systems
• [cs.IT]Near-Optimal Detection for Both Data and Sneak-Path Interference in Resistive Memories with Random Cell Selector Failures
• [cs.IT]On maximum-likelihood estimation in the all-or-nothing regime
• [cs.IT]On the Automorphism Group of Polar Codes
• [cs.IT]On the Performance of Image Recovery in Massive MIMO Communications
• [cs.IT]On the binary adder channel with complete feedback, with an application to quantitative group testing
• [cs.IT]Rate of Prefix-free Codes in LQG Control Systems with Side Information
• [cs.IT]SPAD-Based Optical Wireless Communication with Signal Pre-Distortion and Noise Normalization
• [cs.IT]Securing Full-Duplex Amplify-and-Forward Relay-Aided Transmissions Through Processing-Time Optimization
• [cs.IT]Set Reconciliation for Blockchains with Slepian-Wolf Coding: Deletion Polar Codes
• [cs.IT]Standalone Deployment of a Dynamic Drone Cell for Wireless Connectivity of Two Services
• [cs.IT]The Exact Rate Memory Tradeoff for Large Caches with Coded Placement
• [cs.IT]The Filtered Gaussian Primitive Diamond Channel
• [cs.IT]Two-Way Passive Beamforming Design for RIS-Aided FDD Communication Systems
• [cs.IT]Zero-rate reliability function for mismatched decoding
• [cs.LG]A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks
• [cs.LG]A Review of Graph Neural Networks and Their Applications in Power Systems
• [cs.LG]A Unified Joint Maximum Mean Discrepancy for Domain Adaptation
• [cs.LG]A fusion method for multi-valued data
• [cs.LG]Activation Functions in Artificial Neural Networks: A Systematic Overview
• [cs.LG]Adaptive Scheduling for Machine Learning Tasks over Networks
• [cs.LG]AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence
• [cs.LG]Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews
• [cs.LG]An Optimal Reduction of TV-Denoising to Adaptive Online Learning
• [cs.LG]Analysing the Noise Model Error for Realistic Noisy Label Data
• [cs.LG]Analytical Characterization and Design Space Exploration for Optimization of CNNs
• [cs.LG]Annealed Stein Variational Gradient Descent
• [cs.LG]Approximating Probability Distributions by ReLU Networks
• [cs.LG]CPT: Efficient Deep Neural Network Training via Cyclic Precision
• [cs.LG]Conditional Generative Models for Counterfactual Explanations
• [cs.LG]Deep Graph Convolutional Networks for Wind Speed Prediction
• [cs.LG]Deep Learning Generalization and the Convex Hull of Training Sets
• [cs.LG]Diverse Adversaries for Mitigating Bias in Training
• [cs.LG]Emergent Communication under Competition
• [cs.LG]Encrypted Internet traffic classification using a supervised Spiking Neural Network
• [cs.LG]Feature Selection Using Reinforcement Learning
• [cs.LG]Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy
• [cs.LG]From Model-driven to Data-driven: A Survey on Active Deep Learning
• [cs.LG]GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning
• [cs.LG]Generalizing Adversarial Examples by AdaBelief Optimizer
• [cs.LG]Generating a Doppelganger Graph: Resembling but Distinct
• [cs.LG]Hierarchical Domain Invariant Variational Auto-Encoding with weak domain supervision
• [cs.LG]High-Confidence Off-Policy (or Counterfactual) Variance Estimation
• [cs.LG]Identity-aware Graph Neural Networks
• [cs.LG]Improved Training of Sparse Coding Variational Autoencoder via Weight Normalization
• [cs.LG]Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
• [cs.LG]Learning Parametrised Graph Shift Operators
• [cs.LG]Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies
• [cs.LG]Leveraging Expert Consistency to Improve Algorithmic Decision Support
• [cs.LG]Measuring Dependence with Matrix-based Entropy Functional
• [cs.LG]Meta-Regularization by Enforcing Mutual-Exclusiveness
• [cs.LG]MinConvNets: A new class of multiplication-less Neural Networks
• [cs.LG]Multi-Task Time Series Forecasting With Shared Attention
• [cs.LG]Multi-Time Attention Networks for Irregularly Sampled Time Series
• [cs.LG]Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification
• [cs.LG]Multi-view Integration Learning for Irregularly-sampled Clinical Time Series
• [cs.LG]Neural Relational Inference with Efficient Message Passing Mechanisms
• [cs.LG]On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
• [cs.LG]Online Adversarial Purification based on Self-Supervision
• [cs.LG]Optimistic and Adaptive Lagrangian Hedging
• [cs.LG]Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series
• [cs.LG]Probabilistic Robustness Analysis for DNNs based on PAC Learning
• [cs.LG]ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings
• [cs.LG]Rethinking Exploration for Sample-Efficient Policy Learning
• [cs.LG]Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art
• [cs.LG]Short-term daily precipitation forecasting with seasonally-integrated autoencoder
• [cs.LG]Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations
• [cs.LG]Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning
• [cs.LG]Unlabeled Principal Component Analysis
• [cs.LG]Unsupervised clustering of series using dynamic programming
• [cs.LG]Vertical federated learning based on DFP and BFGS
• [cs.MA]Accumulating Risk Capital Through Investing in Cooperation
• [cs.MA]Medical Information Retrieval and Interpretation: A Question-Answer based Interaction Model
• [cs.MM]Latent Factor Modeling of Users Subjective Perception for Stereoscopic 3D Video Recommendation
• [cs.NE]A Primer for Neural Arithmetic Logic Modules
• [cs.NE]Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization
• [cs.NE]Neuromorphic adaptive spiking CPG towards bio-inspired locomotion of legged robots
• [cs.NE]Optimal Flexural Design of FRP-Reinforced Concrete Beams Using a Particle Swarm Optimizer
• [cs.NE]Particle Swarm Optimization: Development of a General-Purpose Optimizer
• [cs.NI]AI-Empowered VNF Migration as a Cost-Loss-Effective Solution for Network Resilience
• [cs.NI]SLA-Aware Multiple Migration Planning and Scheduling in SDN-NFV-enabled Clouds
• [cs.RO]3D Underactuated Bipedal Walking via H-LIP based Gait Synthesis and Stepping Stabilization
• [cs.RO]A Dual-arm Robot that Autonomously Lifts Up and Tumbles Heavy Plates Using Crane Pulley Blocks
• [cs.RO]Deployable, Data-Driven Unmanned Vehicle Navigation System in GPS-Denied, Feature-Deficient Environments
• [cs.RO]Disentangled Sequence Clustering for Human Intention Inference
• [cs.RO]Gaussian Process-Based Model Predictive Control for Overtaking
• [cs.RO]Learning Setup Policies: Reliable Transition Between Locomotion Behaviours
• [cs.RO]Planning to Repose Long and Heavy Objects Considering a Combination of Regrasp and Constrained Drooping
• [cs.RO]ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators
• [cs.RO]Reinforcement Learning Based Temporal Logic Control with Soft Constraints Using Limit-deterministic Büchi Automata
• [cs.RO]Robust Flight Control of a Small Unmanned Helicopter
• [cs.RO]Scaffolded Gait Learning of a Quadruped Robot with Bayesian Optimization
• [cs.RO]Symbiotic System Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms
• [cs.SD]Domain-Dependent Speaker Diarization for the Third DIHARD Challenge
• [cs.SD]Novel Recording Studio Features for Music Information Retrieval
• [cs.SE]The Ifs and Buts of the Development Approaches for IoT Applications
• [cs.SI]A Machine Learning Approach to Predicting Continuous Tie Strengths
• [cs.SI]A Social IoT-driven Pedestrian Routing Approach during Epidemic Time
• [cs.SI]BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing
• [cs.SI]Corrective Information Does Not Necessarily Curb Social Disruption
• [cs.SI]Examining Factors Associated with Twitter Account Suspension Following the 2020 U.S. Presidential Election
• [cs.SI]Hypergraph clustering: from blockmodels to modularity
• [cs.SI]Is academia becoming more localised? The growth of regional knowledge networks within international research collaboration
• [cs.SI]Linking User Opinion Dynamics and Online Discussions
• [cs.SI]Regions of Attraction Estimation using Level SetMethod for Complex Network System
• [econ.EM]A Design-Based Perspective on Synthetic Control Methods
• [econ.EM]Consistent specification testing under spatial dependence
• [econ.EM]Predicting Recession Probabilities Using Term Spreads: New Evidence from a Machine Learning Approach
• [econ.GN]Political Regime and COVID 19 death rate: efficient, biasing or simply different autocracies ?
• [eess.AS]A Review of Speaker Diarization: Recent Advances with Deep Learning
• [eess.IV]3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware
• [eess.IV]A Pressure Ulcer Care System For Remote Medical Assistance: Residual U-Net with an Attention Model Based for Wound Area Segmentation
• [eess.IV]A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms
• [eess.IV]A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images
• [eess.IV]AQuA: Analytical Quality Assessment for Optimizing Video Analytics Systems
• [eess.IV]Adaptively Sparse Regularization for Blind Image Restoration
• [eess.IV]Applications of Deep Learning in Fundus Images: A Review
• [eess.IV]Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study
• [eess.IV]D-Net: Siamese based Network with Mutual Attention for Volume Alignment
• [eess.IV]Deep Anti-aliasing of Whole Focal Stack Using its Slice Spectrum
• [eess.IV]DenseNet for Breast Tumor Classification in Mammographic Images
• [eess.IV]Embedding-based Instance Segmentation of Microscopy Images
• [eess.IV]Exploring ensembles and uncertainty minimization in denoising networks
• [eess.IV]Image Compression with Encoder-Decoder Matched Semantic Segmentation
• [eess.IV]Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images
• [eess.IV]Learning Structral coherence Via Generative Adversarial Network for Single Image Super-Resolution
• [eess.IV]Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization
• [eess.IV]Stochastic Image Denoising by Sampling from the Posterior Distribution
• [eess.IV]UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading
• [eess.SP]Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach
• [eess.SP]Performance of Cell-Free MmWave Massive MIMO Systems with Fronthaul Compression and DAC Quantization
• [eess.SP]Spatial Wideband Channel Estimation for MmWave Massive MIMO Systems with Hybrid Architectures and Low-Resolution ADCs
• [eess.SP]Two-step Machine Learning Approach for Channel Estimation with Mixed Resolution RF Chains
• [eess.SP]UAV-Assisted Over-the-Air Computation
• [eess.SY]A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers
• [eess.SY]Blind Diagnosis for Millimeter-wave Massive MIMO Systems
• [eess.SY]Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline
• [math.OC]A measure of the importance of roads based on topography and traffic intensity
• [math.OC]Acceleration Methods
• [math.OC]Complexity of Linear Minimization and Projection on Some Sets
• [math.OC]Surrogate Models for Optimization of Dynamical Systems
• [math.PR]Mean-field Approximation for Stochastic Population Processes in Networks under Imperfect Information
• [math.ST]Diffusion Asymptotics for Sequential Experiments
• [math.ST]Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation
• [math.ST]Testing for subsphericity when and
are of different asymptotic order
• [math.ST]The EM Perspective of Directional Mean Shift Algorithm
• [math.ST]The Gauss Hypergeometric Covariance Kernel for Modeling Second-Order Stationary Random Fields in Euclidean Spaces: its Compact Support, Properties and Spectral Representation
• [physics.data-an]Pattern Ensembling for Spatial Trajectory Reconstruction
• [physics.flu-dyn]Inferring incompressible two-phase flow fields from the interface motion using physics-informed neural networks
• [q-bio.NC]What If Memory Information is Stored Inside the Neuron, Instead of in the Synapse?
• [q-fin.PR]Solving optimal stopping problems with Deep Q-Learning
• [q-fin.ST]Unraveling S&P500 stock volatility and networks — An encoding and decoding approach
• [stat.AP]A Geospatial Functional Model For OCO-2 Data with Application on Imputation and Land Fraction Estimation
• [stat.AP]A heavy-tailed and overdispersed collective risk model
• [stat.AP]Addressing Spatially Structured Interference in Causal Analysis Using Propensity Scores
• [stat.AP]An Environmentally-Adaptive Hawkes Process with An Application to COVID-19
• [stat.AP]Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer
• [stat.CO]sensobol: an R package to compute variance-based sensitivity indices
• [stat.ME]A Change-Point Based Control Chart for Detecting Sparse Changes in High-Dimensional Heteroscedastic Data
• [stat.ME]Local linear tie-breaker designs
• [stat.ME]Low incidence rate of COVID-19 undermines confidence in estimation of the vaccine efficacy
• [stat.ME]Revisiting Identifying Assumptions for Population Size Estimation
• [stat.ME]The Role of Distributional Overlap on the Precision Gain of Bounds for Generalization
• [stat.ML]Entropy Partial Transport with Tree Metrics: Theory and Practice
• [stat.ML]NeurT-FDR: Controlling FDR by Incorporating Feature Hierarchy
• [stat.ML]Numerical issues in maximum likelihood parameter estimation for Gaussian process regression
• [stat.ML]Tighter expected generalization error bounds via Wasserstein distance
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• [cond-mat.dis-nn]Variational Neural Annealing
Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla
http://arxiv.org/abs/2101.10154v1
• [cs.AI]BF++:a language for general-purpose neural program synthesis
Vadim Liventsev, Aki Härmä, Milan Petković
http://arxiv.org/abs/2101.09571v1
• [cs.AI]Cognitive Perspectives on Context-based Decisions and Explanations
Marcus Westberg, Kary Främling
http://arxiv.org/abs/2101.10179v1
• [cs.AI]Context-Specific Likelihood Weighting
Nitesh Kumar, Ondřej Kuželka
http://arxiv.org/abs/2101.09791v1
• [cs.AI]Deep Learning for General Game Playing with Ludii and Polygames
Dennis J. N. J. Soemers, Vegard Mella, Cameron Browne, Olivier Teytaud
http://arxiv.org/abs/2101.09562v1
• [cs.AI]Explainable Artificial Intelligence Approaches: A Survey
Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor, Mohiuddin Ahmed
http://arxiv.org/abs/2101.09429v1
• [cs.AI]Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels
Can Gao, Jie Zhoua, Duoqian Miao, Xiaodong Yue, Jun Wan
http://arxiv.org/abs/2101.09495v1
• [cs.AI]Improving Continuous-time Conflict Based Search
Anton Andreychuk, Konstantin Yakovlev, Eli Boyarski, Roni Stern
http://arxiv.org/abs/2101.09723v1
• [cs.AI]Solving a Multi-resource Partial-ordering Flexible Variant of the Job-shop Scheduling Problem with Hybrid ASP
Giulia Francescutto, Konstantin Schekotihin, Mohammed M. S. El-Kholany
http://arxiv.org/abs/2101.10162v1
• [cs.AI]Theory of Mind for Deep Reinforcement Learning in Hanabi
Andrew Fuchs, Michael Walton, Theresa Chadwick, Doug Lange
http://arxiv.org/abs/2101.09328v1
• [cs.CL]-Neighbor Based Curriculum Sampling for Sequence Prediction
James O’ Neill, Danushka Bollegala
http://arxiv.org/abs/2101.09313v1
• [cs.CL]A Hybrid Approach to Measure Semantic Relatedness in Biomedical Concepts
Katikapalli Subramanyam Kalyan, Sivanesan Sangeetha
http://arxiv.org/abs/2101.10196v1
• [cs.CL]A Novel Two-stage Framework for Extracting Opinionated Sentences from News Articles
Rajkumar Pujari, Swara Desai, Niloy Ganguly, Pawan Goyal
http://arxiv.org/abs/2101.09743v1
• [cs.CL]A Simple Disaster-Related Knowledge Base for Intelligent Agents
Clark Emmanuel Paulo, Arvin Ken Ramirez, David Clarence Reducindo, Rannie Mark Mateo, Joseph Marvin Imperial
http://arxiv.org/abs/2101.10014v1
• [cs.CL]A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction
Yongliang Shen, Xinyin Ma, Yechun Tang, Weiming Lu
http://arxiv.org/abs/2101.10213v1
• [cs.CL]A2P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks
Mohsen Ahmadzadeh, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram
http://arxiv.org/abs/2101.09693v1
• [cs.CL]ARTH: Algorithm For Reading Text Handily — An AI Aid for People having Word Processing Issues
Akanksha Malhotra, Sudhir Kamle
http://arxiv.org/abs/2101.09464v1
• [cs.CL]Analyzing Team Performance with Embeddings from Multiparty Dialogues
Ayesha Enayet, Gita Sukthankar
http://arxiv.org/abs/2101.09421v1
• [cs.CL]BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets
Fouzi Harrag, Maria Debbah, Kareem Darwish, Ahmed Abdelali
http://arxiv.org/abs/2101.09345v1
• [cs.CL]Belief-based generation of Argumentative Claims
Milad Alshomary, Wei-Fan Chen, Timon Gurcke, Henning Wachsmuth
http://arxiv.org/abs/2101.09765v1
• [cs.CL]Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access Track in DSTC9
Seokhwan Kim, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tur
http://arxiv.org/abs/2101.09276v2
• [cs.CL]CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata
Manoj Prabhakar Kannan Ravi, Kuldeep Singh, Isaiah Onando Mulang’, Saeedeh Shekarpour, Johannes Hoffart, Jens Lehmann
http://arxiv.org/abs/2101.09969v1
• [cs.CL]Censorship of Online Encyclopedias: Implications for NLP Models
Eddie Yang, Margaret E. Roberts
http://arxiv.org/abs/2101.09294v1
• [cs.CL]Cross-lingual Visual Pre-training for Multimodal Machine Translation
Ozan Caglayan, Menekse Kuyu, Mustafa Sercan Amac, Pranava Madhyastha, Erkut Erdem, Aykut Erdem, Lucia Specia
http://arxiv.org/abs/2101.10044v1
• [cs.CL]Debiasing Pre-trained Contextualised Embeddings
Masahiro Kaneko, Danushka Bollegala
http://arxiv.org/abs/2101.09523v1
• [cs.CL]Dictionary-based Debiasing of Pre-trained Word Embeddings
Masahiro Kaneko, Danushka Bollegala
http://arxiv.org/abs/2101.09525v1
• [cs.CL]Does Dialog Length matter for Next Response Selection task? An Empirical Study
Jatin Ganhotra, Sachindra Joshi
http://arxiv.org/abs/2101.09647v1
• [cs.CL]Does Head Label Help for Long-Tailed Multi-Label Text Classification
Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song
http://arxiv.org/abs/2101.09704v1
• [cs.CL]Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer
Zulfat Miftahutdinov, Artur Kadurin, Roman Kudrin, Elena Tutubalina
http://arxiv.org/abs/2101.09311v1
• [cs.CL]EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information
Lei Huang, Jiecong Lin, Xiangtao Li, Linqi Song, Ka-Chun Wong
http://arxiv.org/abs/2101.09914v1
• [cs.CL]Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection
Jens Kaiser, Sinan Kurtyigit, Serge Kotchourko, Dominik Schlechtweg
http://arxiv.org/abs/2101.09368v1
• [cs.CL]Evaluating Models of Robust Word Recognition with Serial Reproduction
Stephan C. Meylan, Sathvik Nair, Thomas L. Griffiths
http://arxiv.org/abs/2101.09788v1
• [cs.CL]Extracting Lifestyle Factors for Alzheimer’s Disease from Clinical Notes Using Deep Learning with Weak Supervision
Zitao Shen, Yoonkwon Yi, Anusha Bompelli, Fang Yu, Yanshan Wang, Rui Zhang
http://arxiv.org/abs/2101.09244v2
• [cs.CL]Facilitating Terminology Translation with Target Lemma Annotations
Toms Bergmanis, Mārcis Pinnis
http://arxiv.org/abs/2101.10035v1
• [cs.CL]FakeFlow: Fake News Detection by Modeling the Flow of Affective Information
Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso, Francisco Rangel
http://arxiv.org/abs/2101.09810v1
• [cs.CL]Fast Sequence Generation with Multi-Agent Reinforcement Learning
Longteng Guo, Jing Liu, Xinxin Zhu, Hanqing Lu
http://arxiv.org/abs/2101.09698v1
• [cs.CL]GP: Context-free Grammar Pre-training for Text-to-SQL Parsers
Liang Zhao, Hexin Cao, Yunsong Zhao
http://arxiv.org/abs/2101.09901v1
• [cs.CL]Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks
Hongyin Luo, Shang-Wen Li, James Glass
http://arxiv.org/abs/2101.09773v1
• [cs.CL]Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale
Gabriella Skitalinskaya, Jonas Klaff, Henning Wachsmuth
http://arxiv.org/abs/2101.10250v1
• [cs.CL]MadDog: A Web-based System for Acronym Identification and Disambiguation
Amir Pouran Ben Veyseh, Franck Dernoncourt, Walter Chang, Thien Huu Nguyen
http://arxiv.org/abs/2101.09893v1
• [cs.CL]On the Evolution of Word Order
Idan Rejwan, Avi Caciularu
http://arxiv.org/abs/2101.09579v1
• [cs.CL]Open-Mindedness and Style Coordination in Argumentative Discussions
Aviv Ben Haim, Oren Tsur
http://arxiv.org/abs/2101.10164v1
• [cs.CL]PAWLS: PDF Annotation With Labels and Structure
Mark Neumann, Zejiang Shen, Sam Skjonsberg
http://arxiv.org/abs/2101.10281v1
• [cs.CL]Process-Level Representation of Scientific Protocols with Interactive Annotation
Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky
http://arxiv.org/abs/2101.10244v1
• [cs.CL]RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding
Danushka Bollegala, Huda Hakami, Yuichi Yoshida, Ken-ichi Kawarabayashi
http://arxiv.org/abs/2101.10070v1
• [cs.CL]Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild
Rajdeep Mukherjee, Shreyas Shetty, Subrata Chattopadhyay, Subhadeep Maji, Samik Datta, Pawan Goyal
http://arxiv.org/abs/2101.09449v1
• [cs.CL]RomeBERT: Robust Training of Multi-Exit BERT
Shijie Geng, Peng Gao, Zuohui Fu, Yongfeng Zhang
http://arxiv.org/abs/2101.09755v1
• [cs.CL]Slot Self-Attentive Dialogue State Tracking
Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz
http://arxiv.org/abs/2101.09374v1
• [cs.CL]SpanEmo: Casting Multi-label Emotion Classification as Span-prediction
Hassan Alhuzali, Sophia Ananiadou
http://arxiv.org/abs/2101.10038v1
• [cs.CL]Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini
http://arxiv.org/abs/2101.09688v1
• [cs.CL]TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics
Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Debasis Ganguly
http://arxiv.org/abs/2101.10273v1
• [cs.CL]Towards Natural Language Question Answering over Earth Observation Linked Data using Attention-based Neural Machine Translation
Abhishek V. Potnis, Rajat C. Shinde, Surya S. Durbha
http://arxiv.org/abs/2101.09427v1
• [cs.CL]Training Multilingual Pre-trained Language Model with Byte-level Subwords
Junqiu Wei, Qun Liu, Yinpeng Guo, Xin Jiang
http://arxiv.org/abs/2101.09469v1
• [cs.CL]Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications
Xiajing Li, Marios Daoutis
http://arxiv.org/abs/2101.09990v1
• [cs.CL]WangchanBERTa: Pretraining transformer-based Thai Language Models
Lalita Lowphansirikul, Charin Polpanumas, Nawat Jantrakulchai, Sarana Nutanong
http://arxiv.org/abs/2101.09635v1
• [cs.CL]WebSRC: A Dataset for Web-Based Structural Reading Comprehension
Lu Chen, Xingyu Chen, Zihan Zhao, Danyang Zhang, Jiabao Ji, Ao Luo, Yuxuan Xiong, Kai Yu
http://arxiv.org/abs/2101.09465v1
• [cs.CL]With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms
Yotam Shichel, Meir Kalech, Oren Tsur
http://arxiv.org/abs/2101.10096v1
• [cs.CR]Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey
Yongxin Liu, Jian Wang, Jianqiang Li, Shuteng Niu, Houbing Song
http://arxiv.org/abs/2101.10181v1
• [cs.CR]Trusted Data Notifications from Private Blockchains
Dushyant Behl, Palanivel Kodeswaran, Venkatraman Ramakrishna, Sayandeep Sen, Dhinakaran Vinayagamurthy
http://arxiv.org/abs/2101.09477v1
• [cs.CV]4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data
Hamid Laga, Marcel Padilla, Ian H. Jermyn, Sebastian Kurtek, Mohammed Bennamoun, Anuj Srivastava
http://arxiv.org/abs/2101.09403v1
• [cs.CV]A Comprehensive Evaluation Framework for Deep Model Robustness
Aishan Liu, Xianglong Liu, Jun Guo, Jiakai Wang, Yuqing Ma, Ze Zhao, Xinghai Gao, Gang Xiao
http://arxiv.org/abs/2101.09617v1
• [cs.CV]A Dual-branch Network for Infrared and Visible Image Fusion
Yu Fu, Xiao-Jun Wu
http://arxiv.org/abs/2101.09643v1
• [cs.CV]A Joint Representation Learning and Feature Modeling Approach for One-class Recognition
Pramuditha Perera, Vishal Patel
http://arxiv.org/abs/2101.09782v1
• [cs.CV]A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network
Xinwei Zhao, Chen Chen, Matthew C. Stamm
http://arxiv.org/abs/2101.09568v1
• [cs.CV]A Two-stage Framework for Compound Figure Separation
Weixin Jiang, Eric Schwenker, Trevor Spreadbury, Nicola Ferrier, Maria K. Y. Chan, Oliver Cossairt
http://arxiv.org/abs/2101.09903v1
• [cs.CV]ATRM: Attention-based Task-level Relation Module for GNN-based Few-shot Learning
Yurong Guo, Zhanyu Ma, Xiaoxu Li, Yuan Dong
http://arxiv.org/abs/2101.09840v1
• [cs.CV]Adversarial Text-to-Image Synthesis: A Review
Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel
http://arxiv.org/abs/2101.09983v1
• [cs.CV]BSUV-Net 2.0: Spatio-Temporal Data Augmentations for Video-AgnosticSupervised Background Subtraction
M. Ozan Tezcan, Prakash Ishwar, Janusz Konrad
http://arxiv.org/abs/2101.09585v1
• [cs.CV]Camera Invariant Feature Learning for Generalized Face Anti-spoofing
Baoliang Chen, Wenhan Yang, Haoliang Li, Shiqi Wang, Sam Kwong
http://arxiv.org/abs/2101.10075v1
• [cs.CV]Classic versus deep approaches to address computer vision challenges
Nati Ofir, Jean-Christophe Nebel
http://arxiv.org/abs/2101.09744v1
• [cs.CV]Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data
Nilanjan Sinhababu, Monalisa Sarma, Debasis Samanta
http://arxiv.org/abs/2101.09658v1
• [cs.CV]Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning
Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang, Songfang Huang
http://arxiv.org/abs/2101.09499v1
• [cs.CV]Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization
Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu
http://arxiv.org/abs/2101.09892v1
• [cs.CV]ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning
Yufei Wang, Ian D. Wood, Stephen Wan, Mark Johnson
http://arxiv.org/abs/2101.09865v1
• [cs.CV]Error Diffusion Halftoning Against Adversarial Examples
Shao-Yuan Lo, Vishal M. Patel
http://arxiv.org/abs/2101.09451v1
• [cs.CV]Exploitation of Image Statistics with Sparse Coding in the Case of Stereo Vision
Gerrit A. Ecke, Harald M. Papp, Hanspeter A. Mallot
http://arxiv.org/abs/2101.09710v1
• [cs.CV]Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones
Huafeng Liu, Chuanyi Zhang, Yazhou Yao, Xiushen Wei, Fumin Shen, Jian Zhang, Zhenmin Tang
http://arxiv.org/abs/2101.09412v1
• [cs.CV]Fighting deepfakes by detecting GAN DCT anomalies
Oliver Giudice, Luca Guarnera, Sebastiano Battiato
http://arxiv.org/abs/2101.09781v1
• [cs.CV]Fixed Viewpoint Mirror Surface Reconstruction under an Uncalibrated Camera
Kai Han, Miaomiao Liu, Dirk Schnieders, Kwan-Yee K. Wong
http://arxiv.org/abs/2101.09392v1
• [cs.CV]FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical Flow
Sergiu Mocanu, Alan R. Moody, April Khademi
http://arxiv.org/abs/2101.09639v1
• [cs.CV]Gigapixel Histopathological Image Analysis using Attention-based Neural Networks
Nadia Brancati, Giuseppe De Pietro, Daniel Riccio, Maria frucci
http://arxiv.org/abs/2101.09992v1
• [cs.CV]Grad-CAM guided channel-spatial attention module for fine-grained visual classification
Shuai Xu, Dongliang Chang, Jiyang Xie, Zhanyu Ma
http://arxiv.org/abs/2101.09666v1
• [cs.CV]ISP Distillation
Eli Schwartz, Alex Bronstein, Raja Giryes
http://arxiv.org/abs/2101.10203v1
• [cs.CV]Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views
Julian Tanke, Juergen Gall
http://arxiv.org/abs/2101.09745v1
• [cs.CV]Learning degraded image classification with restoration data fidelity
Xiaoyu Lin
http://arxiv.org/abs/2101.09606v1
• [cs.CV]Lightweight Convolutional Neural Network with Gaussian-based Grasping Representation for Robotic Grasping Detection
Hu Cao, Guang Chen, Zhijun Li, Jianjie Lin, Alois Knoll
http://arxiv.org/abs/2101.10226v1
• [cs.CV]Machine Learning in LiDAR 3D point clouds
F. Patricia Medina, Randy Paffenroth
http://arxiv.org/abs/2101.09318v1
• [cs.CV]Mask-based Data Augmentation for Semi-supervised Semantic Segmentation
Ying Chen, Xu Ouyang, Kaiyue Zhu, Gady Agam
http://arxiv.org/abs/2101.10156v1
• [cs.CV]Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
James Smith, Jonathan Balloch, Yen-Chang Hsu, Zsolt Kira
http://arxiv.org/abs/2101.09536v1
• [cs.CV]MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance
Jing Xu, Tszhang Guo, Fan Ye, Zenglin Xu, Kun Bai
http://arxiv.org/abs/2101.09899v1
• [cs.CV]Network-Agnostic Knowledge Transfer for Medical Image Segmentation
Shuhang Wang, Vivek Kumar Singh, Alex Benjamin, Mercy Asiedu, Elham Yousef Kalafi, Eugene Cheah, Viksit Kumar, Anthony Samir
http://arxiv.org/abs/2101.09560v1
• [cs.CV]Next-best-view Regression using a 3D Convolutional Neural Network
J. Irving Vasquez-Gomez, David Troncoso, Israel Becerra, Enrique Sucar, Rafael Murrieta-Cid
http://arxiv.org/abs/2101.09397v1
• [cs.CV]OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World
Nannan Qin, Weikai Tan, Lingfei Ma, Dedong Zhang, Jonathan Li
http://arxiv.org/abs/2101.09641v1
• [cs.CV]Performance Evaluation of Convolutional Neural Networks for Gait Recognition
K. D. Apostolidis, P. S. Amanatidis, G. A. Papakostas
http://arxiv.org/abs/2101.10141v1
• [cs.CV]Proba-V-ref: Repurposing the Proba-V challenge for reference-aware super resolution
Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo
http://arxiv.org/abs/2101.10200v1
• [cs.CV]Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang, John Glossner, Lei Wang, Shaobo Shi
http://arxiv.org/abs/2101.09671v1
• [cs.CV]RGB-D Salient Object Detection via 3D Convolutional Neural Networks
Qian Chen, Ze Liu, Yi Zhang, Keren Fu, Qijun Zhao, Hongwei Du
http://arxiv.org/abs/2101.10241v1
• [cs.CV]Real-Time, Flight-Ready, Non-Cooperative Spacecraft Pose Estimation Using Monocular Imagery
Kevin Black, Shrivu Shankar, Daniel Fonseka, Jacob Deutsch, Abhimanyu Dhir, Maruthi R. Akella
http://arxiv.org/abs/2101.09553v1
• [cs.CV]S-BEV: Semantic Birds-Eye View Representation for Weather and Lighting Invariant 3-DoF Localization
Mokshith Voodarla, Shubham Shrivastava, Sagar Manglani, Ankit Vora, Siddharth Agarwal, Punarjay Chakravarty
http://arxiv.org/abs/2101.09569v1
• [cs.CV]Sequence-based Dynamic Handwriting Analysis for Parkinson’s Disease Detection with One-dimensional Convolutions and BiGRUs
Moises Diaz, Momina Moetesum, Imran Siddiqi, Gennaro Vessio
http://arxiv.org/abs/2101.09461v1
• [cs.CV]Spatio-temporal Data Augmentation for Visual Surveillance
Jae-Yeul Kim, Jong-Eun Ha
http://arxiv.org/abs/2101.09895v1
• [cs.CV]Spectral Leakage and Rethinking the Kernel Size in CNNs
Nergis Tomen, Jan van Gemert
http://arxiv.org/abs/2101.10143v1
• [cs.CV]Supervision by Registration and Triangulation for Landmark Detection
Xuanyi Dong, Yi Yang, Shih-En Wei, Xinshuo Weng, Yaser Sheikh, Shoou-I Yu
http://arxiv.org/abs/2101.09866v1
• [cs.CV]The Role of Edges in Line Drawing Perception
Aaron Hertzmann
http://arxiv.org/abs/2101.09376v1
• [cs.CV]The emergence of visual semantics through communication games
Daniela Mihai, Jonathon Hare
http://arxiv.org/abs/2101.10253v1
• [cs.CV]They See Me Rollin’: Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors
Sebastian Köhler, Giulio Lovisotto, Simon Birnbach, Richard Baker, Ivan Martinovic
http://arxiv.org/abs/2101.10011v1
• [cs.CV]Transferable Interactiveness Knowledge for Human-Object Interaction Detection
Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu, Xijie Huang, Liang Xu, Cewu Lu
http://arxiv.org/abs/2101.10292v1
• [cs.CV]Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors
Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro
http://arxiv.org/abs/2101.10043v1
• [cs.CV]VConstruct: Filling Gaps in Chl-a Data Using a Variational Autoencoder
Matthew Ehrler, Neil Ernst
http://arxiv.org/abs/2101.10260v1
• [cs.CV]VIO-Aided Structure from Motion Under Challenging Environments
Zijie Jiang, Hajime Taira, Naoyuki Miyashita, Masatoshi Okutomi
http://arxiv.org/abs/2101.09657v1
• [cs.CV]Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation
Vien Ngoc Dang, Giuseppe Di Giacomo, Viola Marconeto, Pratek Mathur, Rosa Cortese, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga
http://arxiv.org/abs/2101.09321v1
• [cs.CV]Weakly Supervised Learning for Facial Behavior Analysis : A Review
Gnana Praveen R, Eric Granger, Patrick Cardinal
http://arxiv.org/abs/2101.09858v1
• [cs.CV]Weakly Supervised Thoracic Disease Localization via Disease Masks
Hyun-Woo Kim, Hong-Gyu Jung, Seong-Whan Lee
http://arxiv.org/abs/2101.09915v1
• [cs.CV]Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features
Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
http://arxiv.org/abs/2101.10030v1
• [cs.CV]cGANs for Cartoon to Real-life Images
Pranjal Singh Rajput, Kanya Satis, Sonnya Dellarosa, Wenxuan Huang, Obinna Agba
http://arxiv.org/abs/2101.09793v1
• [cs.CY]Automatic Monitoring Social Dynamics During Big Incidences: A Case Study of COVID-19 in Bangladesh
Fahim Shahriar, Md Abul Bashar
http://arxiv.org/abs/2101.09667v1
• [cs.CY]Black Feminist Musings on Algorithmic Oppression
Lelia Marie Hampton
http://arxiv.org/abs/2101.09869v1
• [cs.CY]Neurocognitive and traffic based handover strategies
Andreas Otte, Jonas Vogt, Jens Staub, Niclas Wolniak, Horst Wieker
http://arxiv.org/abs/2101.10186v1
• [cs.CY]Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems
Joshua A. Kroll
http://arxiv.org/abs/2101.09385v1
• [cs.CY]Re-imagining Algorithmic Fairness in India and Beyond
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran
http://arxiv.org/abs/2101.09995v1
• [cs.CY]Trinational Automated Mobility
Jonas Vogt, Niclas Wolniak, Prof. Dr. -Ing. Horst Wieker
http://arxiv.org/abs/2101.10187v1
• [cs.DB]Multi-attributed Community Search in Road-social Networks
Fangda Guo, Ye Yuan, Guoren Wang, Xiangguo Zhao, Hao Sun
http://arxiv.org/abs/2101.09668v1
• [cs.DC]Approximate Byzantine Fault-Tolerance in Distributed Optimization
Shuo Liu, Nirupam Gupta, Nitin H. Vaidya
http://arxiv.org/abs/2101.09337v1
• [cs.DC]Combining SimTrust and Weighted Simple Exponential Smoothing
Tobias Michel Latta
http://arxiv.org/abs/2101.09715v1
• [cs.DC]Formal Definitions of Memory Consistency Models
Jordi Bataller Mascarell
http://arxiv.org/abs/2101.09527v1
• [cs.DC]HyCoR: Fault-Tolerant Replicated Containers Based on Checkpoint and Replay
Diyu Zhou, Yuval Tamir
http://arxiv.org/abs/2101.09584v1
• [cs.DC]Independent Spanning Trees in Eisenstein-Jacobi Networks
Zaid Hussain, Hosam AboElFotoh, Bader AlBdaiwi
http://arxiv.org/abs/2101.09797v1
• [cs.DC]Novel Dynamic Load Balancing Algorithm for Cloud-Based Big Data Analytics
Arman Aghdashi, Seyedeh Leili Mirtaheri
http://arxiv.org/abs/2101.10209v1
• [cs.DC]Online Memory Leak Detection in the Cloud-based Infrastructures
Anshul Jindal, Paul Staab, Jorge Cardoso, Michael Gerndt, Vladimir Podolskiy
http://arxiv.org/abs/2101.09799v1
• [cs.DC]User-Level Memory Scheduler for Optimizing Application Performance in NUMA-Based Multicore Systems
Geunsik Lim, Sang-Bum Suh
http://arxiv.org/abs/2101.09284v1
• [cs.DL]Ants-Review: a Protocol for Incentivized Open Peer-Reviews on Ethereum
Bianca Trovò, Nazzareno Massari
http://arxiv.org/abs/2101.09378v1
• [cs.HC]Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
Harini Suresh, Steven R. Gomez, Kevin K. Nam, Arvind Satyanarayan
http://arxiv.org/abs/2101.09824v1
• [cs.HC]E-cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach — A Case Study
Leslie Ching Ow Tiong, HeeJeong Jasmine Lee
http://arxiv.org/abs/2101.09841v1
• [cs.HC]GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial Networks
Tianming Zhao, Chunyang Chen, Yuanning Liu, Xiaodong Zhu
http://arxiv.org/abs/2101.09978v1
• [cs.HC]Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity
Jichen Zhu, Diane H. Dallal, Robert C. Gray, Jennifer Villareale, Santiago Ontañón, Evan M. Forman, Danielle Arigo
http://arxiv.org/abs/2101.10020v1
• [cs.IR]Advances and Challenges in Conversational Recommender Systems: A Survey
Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua
http://arxiv.org/abs/2101.09459v1
• [cs.IR]Estimating the Total Volume of Queries to a Search Engine
Fabrizio Lillo, Salvatore Ruggieri
http://arxiv.org/abs/2101.09807v1
• [cs.IR]Explanation as a Defense of Recommendation
Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang
http://arxiv.org/abs/2101.09656v1
• [cs.IR]MICROS: Mixed-Initiative ConveRsatiOnal Systems Workshop
Ida Mele, Cristina Ioana Muntean, Mohammad Aliannejadi, Nikos Voskarides
http://arxiv.org/abs/2101.10219v1
• [cs.IR]Parametric Rectified Power Sigmoid Units: Learning Nonlinear Neural Transfer Analytical Forms
Abdourrahmane Mahamane Atto, Sylvie Galichet, Dominique Pastor, Nicolas Méger
http://arxiv.org/abs/2101.09948v1
• [cs.IT]A Linear Reduction Method for Local Differential Privacy and Log-lift
Ni Ding, Yucheng Liu, Farhad Farokhi
http://arxiv.org/abs/2101.09689v1
• [cs.IT]A Search Method for Large Polarization Kernels
Grigorii Trofimiuk
http://arxiv.org/abs/2101.10269v1
• [cs.IT]A note on simplified SINR expressions for OFDM with insufficient CP
Renaud-Alexandre Pitaval
http://arxiv.org/abs/2101.09601v1
• [cs.IT]Age Debt: A General Framework For Minimizing Age of Information
Vishrant Tripathi, Eytan Modiano
http://arxiv.org/abs/2101.10225v1
• [cs.IT]Automorphism Groups and Isometries for Cyclic Orbit Codes
Heide Gluesing-Luerssen, Hunter Lehmann
http://arxiv.org/abs/2101.09548v1
• [cs.IT]Beurling-type density criteria for system identification
V. Vlačić, C. Aubel, H. Bölcskei
http://arxiv.org/abs/2101.09341v1
• [cs.IT]Channel Estimation for RIS Assisted Wireless Communications: Part I — Fundamentals, Solutions, and Future Opportunities
Xiuhong Wei, Decai Shen, Linglong Dai
http://arxiv.org/abs/2101.09404v1
• [cs.IT]Channel Estimation for RIS Assisted Wireless Communications: Part II — An Improved Solution Based on Double-Structured Sparsity
Xiuhong Wei, Decai Shen, Linglong Dai
http://arxiv.org/abs/2101.09405v1
• [cs.IT]Codes approaching the Shannon limit with polynomial complexity per information bit
Ilya Dumer, Navid Gharavi
http://arxiv.org/abs/2101.10145v1
• [cs.IT]Complementary Waveforms for Range-Doppler Sidelobe Suppression Based on a Null Space Approach
Jiahuan Wang, Pingzhi Fan, Des McLernon, Zhiguo Ding
http://arxiv.org/abs/2101.09454v1
• [cs.IT]Computability of the Channel Reliability Function and Related Bounds
Holger Boche, Christian Deppe
http://arxiv.org/abs/2101.09754v1
• [cs.IT]Correctable Erasure Patterns in Product Topologies
Lukas Holzbaur, Sven Puchinger, Eitan Yaakobi, Antonia Wachter-Zeh
http://arxiv.org/abs/2101.10028v1
• [cs.IT]Decentralized and Online Coded Caching with Shared Caches: Fundamental Limits with Uncoded Prefetching
Elizabath Peter, B. Sundar Rajan
http://arxiv.org/abs/2101.09572v1
• [cs.IT]Design and Analysis of Wideband Full-Duplex FR2-IAB Networks
Junkai Zhang, Haifeng Luo, Navneet Garg, Abhijeet Bishnu, Mark Holm, Tharmalingam Ratnarajah
http://arxiv.org/abs/2101.09713v1
• [cs.IT]GRADE-AO: Towards Near-Optimal Spatially-Coupled Codes With High Memories
Siyi Yang, Ahmed Hareedy, Shyam Venkatasubramanian, Robert Calderbank, Lara Dolecek
http://arxiv.org/abs/2101.09962v1
• [cs.IT]Information Bottleneck for an Oblivious Relay with Channel State Information: the Vector Case
Hao Xu, Tianyu Yang, Giuseppe Caire, Shlomo Shamai
http://arxiv.org/abs/2101.09790v1
• [cs.IT]Is Phase Shift Keying Optimal for Channels with Phase-Quantized Output?
Neil Irwin Bernardo, Jingge Zhu, Jamie Evans
http://arxiv.org/abs/2101.09896v1
• [cs.IT]Joint Active and Passive Beamforming for Intelligent Reflecting Surface Aided Multiuser MIMO Communications
Xingyu Zhao, Tian Lin, Yu Zhu
http://arxiv.org/abs/2101.10071v1
• [cs.IT]Joint Design of Hybrid Beamforming and Phase Shifts in RIS-Aided mmWave Communication Systems
Bei Guo, Renwang Li, Meixia Tao
http://arxiv.org/abs/2101.09980v1
• [cs.IT]Near-Optimal Detection for Both Data and Sneak-Path Interference in Resistive Memories with Random Cell Selector Failures
Guanghui Song, Kui Cai, Ce Sun, Xingwei Zhong, Jun Cheng
http://arxiv.org/abs/2101.09680v1
• [cs.IT]On maximum-likelihood estimation in the all-or-nothing regime
Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann
http://arxiv.org/abs/2101.09994v1
• [cs.IT]On the Automorphism Group of Polar Codes
Marvin Geiselhart, Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer, Stephan ten Brink
http://arxiv.org/abs/2101.09679v1
• [cs.IT]On the Performance of Image Recovery in Massive MIMO Communications
Phan Thi Kim Chinh, Trinh Van Chien, Tran Manh Hoang, Nguyen Tien Hoa, Van Duc Nguyen
http://arxiv.org/abs/2101.10258v1
• [cs.IT]On the binary adder channel with complete feedback, with an application to quantitative group testing
Samuel H. Florin, Matthew H. Ho, Zilin Jiang
http://arxiv.org/abs/2101.09898v1
• [cs.IT]Rate of Prefix-free Codes in LQG Control Systems with Side Information
Travis C. Cuvelier, Takashi Tanaka
http://arxiv.org/abs/2101.09329v1
• [cs.IT]SPAD-Based Optical Wireless Communication with Signal Pre-Distortion and Noise Normalization
Shenjie Huang, Majid Safari
http://arxiv.org/abs/2101.09333v1
• [cs.IT]Securing Full-Duplex Amplify-and-Forward Relay-Aided Transmissions Through Processing-Time Optimization
Mohamed Marzban, Ahmed El Shafie, Ahmed Sultan, Naofal Al-Dhahir
http://arxiv.org/abs/2101.10002v1
• [cs.IT]Set Reconciliation for Blockchains with Slepian-Wolf Coding: Deletion Polar Codes
Ling Liu, Shengli Zhang, Cong Ling
http://arxiv.org/abs/2101.09963v1
• [cs.IT]Standalone Deployment of a Dynamic Drone Cell for Wireless Connectivity of Two Services
Igor Donevski, Jimmy Jessen Nielsen, Petar Popovski
http://arxiv.org/abs/2101.09701v1
• [cs.IT]The Exact Rate Memory Tradeoff for Large Caches with Coded Placement
Vijith Kumar K P, Brijesh Kumar Rai, Tony Jacob
http://arxiv.org/abs/2101.09785v1
• [cs.IT]The Filtered Gaussian Primitive Diamond Channel
Asif Katz, Michael Peleg, Shlomo Shamai
http://arxiv.org/abs/2101.09564v1
• [cs.IT]Two-Way Passive Beamforming Design for RIS-Aided FDD Communication Systems
Bei Guo, Chenhao Sun, Meixia Tao
http://arxiv.org/abs/2101.10094v1
• [cs.IT]Zero-rate reliability function for mismatched decoding
Marco Bondaschi, Albert Guillén i Fàbregas, Marco Dalai
http://arxiv.org/abs/2101.10238v1
• [cs.LG]A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks
Yingfang Yuan, Wenjun Wang, George M. Coghill, Wei Pang
http://arxiv.org/abs/2101.09300v1
• [cs.LG]A Review of Graph Neural Networks and Their Applications in Power Systems
Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Yuelong Wang, Yusen Wang
http://arxiv.org/abs/2101.10025v1
• [cs.LG]A Unified Joint Maximum Mean Discrepancy for Domain Adaptation
Wei Wang, Baopu Li, Shuhui Yang, Jing Sun, Zhengming Ding, Junyang Chen, Xiao Dong, Zhihui Wang, Haojie Li
http://arxiv.org/abs/2101.09979v1
• [cs.LG]A fusion method for multi-valued data
Martin Papčo, Iosu Rodríguez-Martínez, Javier Fumanal-Idocin, Abdulrahman H. Altalhi, Humberto Bustince
http://arxiv.org/abs/2101.10115v1
• [cs.LG]Activation Functions in Artificial Neural Networks: A Systematic Overview
Johannes Lederer
http://arxiv.org/abs/2101.09957v1
• [cs.LG]Adaptive Scheduling for Machine Learning Tasks over Networks
Konstantinos Gatsis
http://arxiv.org/abs/2101.10007v1
• [cs.LG]AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence
Yunhe Wang, Mingqiang Huang, Kai Han, Hanting Chen, Wei Zhang, Chunjing Xu, Dacheng Tao
http://arxiv.org/abs/2101.10015v1
• [cs.LG]Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews
Runcong Zhao, Lin Gui, Gabriele Pergola, Yulan He
http://arxiv.org/abs/2101.10150v1
• [cs.LG]An Optimal Reduction of TV-Denoising to Adaptive Online Learning
Dheeraj Baby, Xuandong Zhao, Yu-Xiang Wang
http://arxiv.org/abs/2101.09438v1
• [cs.LG]Analysing the Noise Model Error for Realistic Noisy Label Data
Michael A. Hedderich, Dawei Zhu, Dietrich Klakow
http://arxiv.org/abs/2101.09763v1
• [cs.LG]Analytical Characterization and Design Space Exploration for Optimization of CNNs
Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan
http://arxiv.org/abs/2101.09808v1
• [cs.LG]Annealed Stein Variational Gradient Descent
Francesco D’Angelo, Vincent Fortuin
http://arxiv.org/abs/2101.09815v1
• [cs.LG]Approximating Probability Distributions by ReLU Networks
Manuj Mukherjee, Aslan Tchamkerten, Mansoor Yousefi
http://arxiv.org/abs/2101.09973v1
• [cs.LG]CPT: Efficient Deep Neural Network Training via Cyclic Precision
Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin
http://arxiv.org/abs/2101.09868v1
• [cs.LG]Conditional Generative Models for Counterfactual Explanations
Arnaud Van Looveren, Janis Klaise, Giovanni Vacanti, Oliver Cobb
http://arxiv.org/abs/2101.10123v1
• [cs.LG]Deep Graph Convolutional Networks for Wind Speed Prediction
Tomasz Stańczyk, Siamak Mehrkanoon
http://arxiv.org/abs/2101.10041v1
• [cs.LG]Deep Learning Generalization and the Convex Hull of Training Sets
Roozbeh Yousefzadeh
http://arxiv.org/abs/2101.09849v1
• [cs.LG]Diverse Adversaries for Mitigating Bias in Training
Xudong Han, Timothy Baldwin, Trevor Cohn
http://arxiv.org/abs/2101.10001v1
• [cs.LG]Emergent Communication under Competition
Michael Noukhovitch, Travis LaCroix, Angeliki Lazaridou, Aaron Courville
http://arxiv.org/abs/2101.10276v1
• [cs.LG]Encrypted Internet traffic classification using a supervised Spiking Neural Network
Ali Rasteh, Florian Delpech, Carlos Aguilar-Melchor, Romain Zimmer, Saeed Bagheri Shouraki, Timothée Masquelier
http://arxiv.org/abs/2101.09818v1
• [cs.LG]Feature Selection Using Reinforcement Learning
Sali Rasoul, Sodiq Adewole, Alphonse Akakpo
http://arxiv.org/abs/2101.09460v1
• [cs.LG]Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy
Ajesh Koyatan Chathoth, Abhyuday Jagannatha, Stephen Lee
http://arxiv.org/abs/2101.09878v1
• [cs.LG]From Model-driven to Data-driven: A Survey on Active Deep Learning
Peng Liu, Guojin He, Lei Zhao
http://arxiv.org/abs/2101.09933v1
• [cs.LG]GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning
Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Hoi-Jun Yoo
http://arxiv.org/abs/2101.09650v1
• [cs.LG]Generalizing Adversarial Examples by AdaBelief Optimizer
Yixiang Wang, Jiqiang Liu, Xiaolin Chang
http://arxiv.org/abs/2101.09930v1
• [cs.LG]Generating a Doppelganger Graph: Resembling but Distinct
Yuliang Ji, Ru Huang, Jie Chen, Yuanzhe Xi
http://arxiv.org/abs/2101.09593v1
• [cs.LG]Hierarchical Domain Invariant Variational Auto-Encoding with weak domain supervision
Xudong Sun, Florian Buettner
http://arxiv.org/abs/2101.09436v1
• [cs.LG]High-Confidence Off-Policy (or Counterfactual) Variance Estimation
Yash Chandak, Shiv Shankar, Philip S. Thomas
http://arxiv.org/abs/2101.09847v1
• [cs.LG]Identity-aware Graph Neural Networks
Jiaxuan You, Jonathan Gomes-Selman, Rex Ying, Jure Leskovec
http://arxiv.org/abs/2101.10320v1
• [cs.LG]Improved Training of Sparse Coding Variational Autoencoder via Weight Normalization
Linxing Preston Jiang, Luciano de la Iglesia
http://arxiv.org/abs/2101.09453v1
• [cs.LG]Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
Nathaniel Simard, Guillaume Lagrange
http://arxiv.org/abs/2101.09825v1
• [cs.LG]Learning Parametrised Graph Shift Operators
George Dasoulas, Johannes Lutzeyer, Michalis Vazirgiannis
http://arxiv.org/abs/2101.10050v1
• [cs.LG]Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies
Fabio Ferreira, Thomas Nierhoff, Frank Hutter
http://arxiv.org/abs/2101.09721v1
• [cs.LG]Leveraging Expert Consistency to Improve Algorithmic Decision Support
Maria De-Arteaga, Artur Dubrawski, Alexandra Chouldechova
http://arxiv.org/abs/2101.09648v1
• [cs.LG]Measuring Dependence with Matrix-based Entropy Functional
Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, Jose C. Principe
http://arxiv.org/abs/2101.10160v1
• [cs.LG]Meta-Regularization by Enforcing Mutual-Exclusiveness
Edwin Pan, Pankaj Rajak, Shubham Shrivastava
http://arxiv.org/abs/2101.09819v1
• [cs.LG]MinConvNets: A new class of multiplication-less Neural Networks
Xuecan Yang, Sumanta Chaudhuri, Laurence Likforman, Lirida Naviner
http://arxiv.org/abs/2101.09492v1
• [cs.LG]Multi-Task Time Series Forecasting With Shared Attention
Zekai Chen, Jiaze E, Xiao Zhang, Hao Sheng, Xiuzheng Cheng
http://arxiv.org/abs/2101.09645v1
• [cs.LG]Multi-Time Attention Networks for Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin M. Marlin
http://arxiv.org/abs/2101.10318v1
• [cs.LG]Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification
Anu Jagannath, Jithin Jagannath
http://arxiv.org/abs/2101.10254v1
• [cs.LG]Multi-view Integration Learning for Irregularly-sampled Clinical Time Series
Yurim Lee, Eunji Jun, Heung-Il Suk
http://arxiv.org/abs/2101.09986v1
• [cs.LG]Neural Relational Inference with Efficient Message Passing Mechanisms
Siyuan Chen, Jiahai Wang, Guoqing Li
http://arxiv.org/abs/2101.09486v1
• [cs.LG]On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
Quynh Nguyen
http://arxiv.org/abs/2101.09612v1
• [cs.LG]Online Adversarial Purification based on Self-Supervision
Changhao Shi, Chester Holtz, Gal Mishne
http://arxiv.org/abs/2101.09387v1
• [cs.LG]Optimistic and Adaptive Lagrangian Hedging
Ryan D’Orazio, Ruitong Huang
http://arxiv.org/abs/2101.09603v1
• [cs.LG]Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series
Kevin Styp-Rekowski, Florian Schmidt, Odej Kao
http://arxiv.org/abs/2101.10037v1
• [cs.LG]Probabilistic Robustness Analysis for DNNs based on PAC Learning
Renjue Li, Pengfei Yang, Cheng-Chao Huang, Bai Xue, Lijun Zhang
http://arxiv.org/abs/2101.10102v1
• [cs.LG]ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings
Blaž Škrlj, Sašo Džeroski, Nada Lavrač, Matej Petković
http://arxiv.org/abs/2101.09577v1
• [cs.LG]Rethinking Exploration for Sample-Efficient Policy Learning
William F. Whitney, Michael Bloesch, Jost Tobias Springenberg, Abbas Abdolmaleki, Martin Riedmiller
http://arxiv.org/abs/2101.09458v1
• [cs.LG]Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art
Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez
http://arxiv.org/abs/2101.09505v1
• [cs.LG]Short-term daily precipitation forecasting with seasonally-integrated autoencoder
Donlapark Ponnoprat
http://arxiv.org/abs/2101.09509v1
• [cs.LG]Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations
Danding Wang, Wencan Zhang, Brian Y. Lim
http://arxiv.org/abs/2101.09498v1
• [cs.LG]Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning
Anh Bui, Trung Le, He Zhao, Paul Montague, Seyit Camtepe, Dinh Phung
http://arxiv.org/abs/2101.10027v1
• [cs.LG]Unlabeled Principal Component Analysis
Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris
http://arxiv.org/abs/2101.09446v1
• [cs.LG]Unsupervised clustering of series using dynamic programming
Karthigan Sinnathamby, Chang-Yu Hou, Lalitha Venkataramanan, Vasileios-Marios Gkortsas, François Fleuret
http://arxiv.org/abs/2101.09512v1
• [cs.LG]Vertical federated learning based on DFP and BFGS
Song WenJie, Shen Xuan
http://arxiv.org/abs/2101.09428v1
• [cs.MA]Accumulating Risk Capital Through Investing in Cooperation
Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell
http://arxiv.org/abs/2101.10305v1
• [cs.MA]Medical Information Retrieval and Interpretation: A Question-Answer based Interaction Model
Nilanjan Sinhababu, Rahul Saxena, Monalisa Sarma, Debasis Samanta
http://arxiv.org/abs/2101.09662v1
• [cs.MM]Latent Factor Modeling of Users Subjective Perception for Stereoscopic 3D Video Recommendation
Balasubramanyam Appina, Mansi Sharma, Santosh Kumar
http://arxiv.org/abs/2101.10039v1
• [cs.NE]A Primer for Neural Arithmetic Logic Modules
Bhumika Mistry, Katayoun Farrahi, Jonathon Hare
http://arxiv.org/abs/2101.09530v1
• [cs.NE]Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization
Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Baeck
http://arxiv.org/abs/2101.09556v1
• [cs.NE]Neuromorphic adaptive spiking CPG towards bio-inspired locomotion of legged robots
Pablo Lopez-Osorio, Alberto Patino-Saucedo, Juan P. Dominguez-Morales, Horacio Rostro-Gonzalez, Fernando Perez-Peña
http://arxiv.org/abs/2101.09709v1
• [cs.NE]Optimal Flexural Design of FRP-Reinforced Concrete Beams Using a Particle Swarm Optimizer
M. S. Innocente, Ll. Torres, X. Cahís, G. Barbeta, A. Catalán
http://arxiv.org/abs/2101.09974v1
• [cs.NE]Particle Swarm Optimization: Development of a General-Purpose Optimizer
Mauro S. Innocente, Johann Sienz
http://arxiv.org/abs/2101.09835v1
• [cs.NI]AI-Empowered VNF Migration as a Cost-Loss-Effective Solution for Network Resilience
Amina Lejla Ibrahimpasic, Bin Han, Hans D. Schotten
http://arxiv.org/abs/2101.09343v1
• [cs.NI]SLA-Aware Multiple Migration Planning and Scheduling in SDN-NFV-enabled Clouds
TianZhang He, Adel N. Toosi, Rajkumar Buyya
http://arxiv.org/abs/2101.09716v1
• [cs.RO]3D Underactuated Bipedal Walking via H-LIP based Gait Synthesis and Stepping Stabilization
Xiaobin Xiong, Aaron Ames
http://arxiv.org/abs/2101.09588v1
• [cs.RO]A Dual-arm Robot that Autonomously Lifts Up and Tumbles Heavy Plates Using Crane Pulley Blocks
Shogo Hayakawa, Weiwei Wan, Keisuke Koyama, Kensuke Harada
http://arxiv.org/abs/2101.09526v1
• [cs.RO]Deployable, Data-Driven Unmanned Vehicle Navigation System in GPS-Denied, Feature-Deficient Environments
Sohum Misra, Kaarthik Sundar, Rajnikant Sharma, Kevin Brink
http://arxiv.org/abs/2101.09750v1
• [cs.RO]Disentangled Sequence Clustering for Human Intention Inference
Mark Zolotas, Yiannis Demiris
http://arxiv.org/abs/2101.09500v1
• [cs.RO]Gaussian Process-Based Model Predictive Control for Overtaking
Wenjun Liu, Chang Liu, Guang Chen, Peng Hang, Alois Knoll
http://arxiv.org/abs/2101.09375v1
• [cs.RO]Learning Setup Policies: Reliable Transition Between Locomotion Behaviours
Brendan Tidd, Nicolas Hudson, Akansel Cosgun, Jurgen Leitner
http://arxiv.org/abs/2101.09391v1
• [cs.RO]Planning to Repose Long and Heavy Objects Considering a Combination of Regrasp and Constrained Drooping
Mohamed Raessa, Weiwei Wan, Kensuke Harada
http://arxiv.org/abs/2101.10163v1
• [cs.RO]ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators
Miguel Calvo-Fullana, Daniel Mox, Alexander Pyattaev, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro
http://arxiv.org/abs/2101.10113v1
• [cs.RO]Reinforcement Learning Based Temporal Logic Control with Soft Constraints Using Limit-deterministic Büchi Automata
Mingyu Cai, Shaoping Xiao, Zhen Kan
http://arxiv.org/abs/2101.10284v1
• [cs.RO]Robust Flight Control of a Small Unmanned Helicopter
Miaolei He, Jilin He, Xuan-yi Zhou
http://arxiv.org/abs/2101.09937v1
• [cs.RO]Scaffolded Gait Learning of a Quadruped Robot with Bayesian Optimization
Keyan Zhai, Chu’an Li, Andre Rosendo
http://arxiv.org/abs/2101.09961v1
• [cs.RO]Symbiotic System Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms
Daniel Mitchell, Osama Zaki, Jamie Blanche, Joshua Roe, Leo Kong, Samuel Harper, Valentin Robu, Theodore Lim, David Flynn
http://arxiv.org/abs/2101.09491v1
• [cs.SD]Domain-Dependent Speaker Diarization for the Third DIHARD Challenge
A Kishore Kumar, Shefali Waldekar, Goutam Saha, Md Sahidullah
http://arxiv.org/abs/2101.09884v1
• [cs.SD]Novel Recording Studio Features for Music Information Retrieval
Tim Ziemer, Pattararat Kiattipadungkul, Tanyarin Karuchit
http://arxiv.org/abs/2101.10201v1
• [cs.SE]The Ifs and Buts of the Development Approaches for IoT Applications
Saitel Daniela Agudelo-Sanabria, Anshul Jindal
http://arxiv.org/abs/2101.09796v1
• [cs.SI]A Machine Learning Approach to Predicting Continuous Tie Strengths
James Flamino, Ross DeVito, Boleslaw K. Szymanski, Omar Lizardo
http://arxiv.org/abs/2101.09417v1
• [cs.SI]A Social IoT-driven Pedestrian Routing Approach during Epidemic Time
Abdullah Khanfor, Hamdi Friji, Hakim Ghazzai, Yehia Massoud
http://arxiv.org/abs/2101.09539v1
• [cs.SI]BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing
Zhe Peng, Jinbin Huang, Haixin Wang, Shihao Wang, Xiaowen Chu, Xinzhi Zhang, Li Chen, Xin Huang, Xiaoyi Fu, Yike Guo, Jianliang Xu
http://arxiv.org/abs/2101.09653v1
• [cs.SI]Corrective Information Does Not Necessarily Curb Social Disruption
Ryusuke Iizuka, Fujio Toriumi, Mao Nishiguchi, Masanori Takano, Mitsuo Yoshida
http://arxiv.org/abs/2101.09665v1
• [cs.SI]Examining Factors Associated with Twitter Account Suspension Following the 2020 U.S. Presidential Election
Farhan Asif Chowdhury, Dheeman Saha, Md Rashidul Hasan, Koustuv Saha, Abdullah Mueen
http://arxiv.org/abs/2101.09575v1
• [cs.SI]Hypergraph clustering: from blockmodels to modularity
Philip S. Chodrow, Nate Veldt, Austin R. Benson
http://arxiv.org/abs/2101.09611v1
• [cs.SI]Is academia becoming more localised? The growth of regional knowledge networks within international research collaboration
John Fitzgerald, Sanna Ojanperä, Neave O’Clery
http://arxiv.org/abs/2101.09520v1
• [cs.SI]Linking User Opinion Dynamics and Online Discussions
Christine Largeron, Andrei Mardale, Marian-Andrei Rizoiu
http://arxiv.org/abs/2101.09852v1
• [cs.SI]Regions of Attraction Estimation using Level SetMethod for Complex Network System
Mengbang Zou, Yu Huang, Weisi Guo
http://arxiv.org/abs/2101.10257v1
• [econ.EM]A Design-Based Perspective on Synthetic Control Methods
Lea Bottmer, Guido Imbens, Jann Spiess, Merrill Warnick
http://arxiv.org/abs/2101.09398v1
• [econ.EM]Consistent specification testing under spatial dependence
Abhimanyu Gupta, Xi Qu
http://arxiv.org/abs/2101.10255v1
• [econ.EM]Predicting Recession Probabilities Using Term Spreads: New Evidence from a Machine Learning Approach
Jaehyuk Choi, Desheng Ge, Kyu Ho Kang, Sungbin Sohn
http://arxiv.org/abs/2101.09394v1
• [econ.GN]Political Regime and COVID 19 death rate: efficient, biasing or simply different autocracies ?
Guilhem Cassan, Milan Van Steenvoort
http://arxiv.org/abs/2101.09960v1
• [eess.AS]A Review of Speaker Diarization: Recent Advances with Deep Learning
Tae Jin Park, Naoyuki Kanda, Dimitrios Dimitriadis, Kyu J. Han, Shinji Watanabe, Shrikanth Narayanan
http://arxiv.org/abs/2101.09624v1
• [eess.IV]3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware
Keno K. Bressem, Stefan M. Niehues, Bernd Hamm, Marcus R. Makowski, Janis L. Vahldiek, Lisa C. Adams
http://arxiv.org/abs/2101.09976v1
• [eess.IV]A Pressure Ulcer Care System For Remote Medical Assistance: Residual U-Net with an Attention Model Based for Wound Area Segmentation
Jinyeong Chae, Ki Yong Hong, Jihie Kim
http://arxiv.org/abs/2101.09433v1
• [eess.IV]A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms
Chen Zhao, Haipeng Tang, Daniel McGonigle, Zhuo He, Chaoyang Zhang, Yu-Ping Wang, Hong-Wen Deng, Robert Bober, Weihua Zhou
http://arxiv.org/abs/2101.09848v1
• [eess.IV]A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images
Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto
http://arxiv.org/abs/2101.10223v1
• [eess.IV]AQuA: Analytical Quality Assessment for Optimizing Video Analytics Systems
Sibendu Paul, Utsav Drolia, Y. Charlie Hu, Srimat T. Chakradhar
http://arxiv.org/abs/2101.09752v1
• [eess.IV]Adaptively Sparse Regularization for Blind Image Restoration
Ningshan Xu
http://arxiv.org/abs/2101.09401v1
• [eess.IV]Applications of Deep Learning in Fundus Images: A Review
Tao Li, Wang Bo, Chunyu Hu, Hong Kang, Hanruo Liu, Kai Wang, Huazhu Fu
http://arxiv.org/abs/2101.09864v1
• [eess.IV]Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study
K. E. Sengun, Y. T. Cetin, M. S Guzel, S. Can, E. Bostanci
http://arxiv.org/abs/2101.09987v1
• [eess.IV]D-Net: Siamese based Network with Mutual Attention for Volume Alignment
Jian-Qing Zheng, Ngee Han Lim, Bartlomiej W. Papiez
http://arxiv.org/abs/2101.10248v1
• [eess.IV]Deep Anti-aliasing of Whole Focal Stack Using its Slice Spectrum
Yaning Li, Xue Wang, Guoqing Zhou, Qing Wang
http://arxiv.org/abs/2101.09420v1
• [eess.IV]DenseNet for Breast Tumor Classification in Mammographic Images
Yuliana Jiménez Gaona, María José Rodriguez-Alvarez, Hector Espinó Morató, Darwin Castillo Malla, Vasudevan Lakshminarayanan
http://arxiv.org/abs/2101.09637v1
• [eess.IV]Embedding-based Instance Segmentation of Microscopy Images
Manan Lalit, Pavel Tomancak, Florian Jug
http://arxiv.org/abs/2101.10033v1
• [eess.IV]Exploring ensembles and uncertainty minimization in denoising networks
Xiaoqi Ma
http://arxiv.org/abs/2101.09798v1
• [eess.IV]Image Compression with Encoder-Decoder Matched Semantic Segmentation
Trinh Man Hoang, Jinjia Zhou, Yibo Fan
http://arxiv.org/abs/2101.09642v1
• [eess.IV]Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images
Shi Guo, Zhetong Liang, Lei Zhang
http://arxiv.org/abs/2101.09870v1
• [eess.IV]Learning Structral coherence Via Generative Adversarial Network for Single Image Super-Resolution
Yuanzhuo Li, Yunan Zheng, Jie Chen, Zhenyu Xu, Yiguang Liu
http://arxiv.org/abs/2101.10165v1
• [eess.IV]Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization
Arnaud Boutillon, Bhushan Borotikar, Christelle Pons, Valérie Burdin, Pierre-Henri Conze
http://arxiv.org/abs/2101.10173v1
• [eess.IV]Stochastic Image Denoising by Sampling from the Posterior Distribution
Bahjat Kawar, Gregory Vaksman, Michael Elad
http://arxiv.org/abs/2101.09552v1
• [eess.IV]UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading
Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto
http://arxiv.org/abs/2101.09991v1
• [eess.SP]Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach
Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, Christopher G. Brinton, David J. Love
http://arxiv.org/abs/2101.10300v1
• [eess.SP]Performance of Cell-Free MmWave Massive MIMO Systems with Fronthaul Compression and DAC Quantization
In-soo Kim, Junil Choi
http://arxiv.org/abs/2101.10157v1
• [eess.SP]Spatial Wideband Channel Estimation for MmWave Massive MIMO Systems with Hybrid Architectures and Low-Resolution ADCs
In-soo Kim, Junil Choi
http://arxiv.org/abs/2101.10158v1
• [eess.SP]Two-step Machine Learning Approach for Channel Estimation with Mixed Resolution RF Chains
Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt
http://arxiv.org/abs/2101.09705v1
• [eess.SP]UAV-Assisted Over-the-Air Computation
Min Fu, Yong Zhou, Yuanming Shi, Ting Wang, Wei Chen
http://arxiv.org/abs/2101.09856v1
• [eess.SY]A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers
Guilherme S. Varela, Pedro P. Santos, Alberto Sardinha, Francisco S. Melo
http://arxiv.org/abs/2101.09614v1
• [eess.SY]Blind Diagnosis for Millimeter-wave Massive MIMO Systems
Rui Sun, Weidong Wang, Li Chen, Guo Wei, Wenyi Zhang
http://arxiv.org/abs/2101.09952v1
• [eess.SY]Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline
Hu Wang, Hao Chen, Qi Wu, Congbo Ma, Yidong Li, Chunhua Shen
http://arxiv.org/abs/2101.09640v1
• [math.OC]A measure of the importance of roads based on topography and traffic intensity
Krzysztof J. Szajowski, Kinga Włodarczyk
http://arxiv.org/abs/2101.09382v1
• [math.OC]Acceleration Methods
Alexandre d’Aspremont, Damien Scieur, Adrien Taylor
http://arxiv.org/abs/2101.09545v1
• [math.OC]Complexity of Linear Minimization and Projection on Some Sets
Cyrille W. Combettes, Sebastian Pokutta
http://arxiv.org/abs/2101.10040v1
• [math.OC]Surrogate Models for Optimization of Dynamical Systems
Kainat Khowaja, Mykhaylo Shcherbatyy, Wolfgang Karl Härdle
http://arxiv.org/abs/2101.10189v1
• [math.PR]Mean-field Approximation for Stochastic Population Processes in Networks under Imperfect Information
Anirudh Sridhar, Soummya Kar
http://arxiv.org/abs/2101.09644v1
• [math.ST]Diffusion Asymptotics for Sequential Experiments
Stefan Wager, Kuang Xu
http://arxiv.org/abs/2101.09855v1
• [math.ST]Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation
Xiuyuan Cheng, Nan Wu
http://arxiv.org/abs/2101.09875v1
• [math.ST]Testing for subsphericity when and
are of different asymptotic order
Joni Virta
http://arxiv.org/abs/2101.09711v1
• [math.ST]The EM Perspective of Directional Mean Shift Algorithm
Yikun Zhang, Yen-Chi Chen
http://arxiv.org/abs/2101.10058v1
• [math.ST]The Gauss Hypergeometric Covariance Kernel for Modeling Second-Order Stationary Random Fields in Euclidean Spaces: its Compact Support, Properties and Spectral Representation
Xavier Emery, Alfredo Alegría
http://arxiv.org/abs/2101.09558v1
• [physics.data-an]Pattern Ensembling for Spatial Trajectory Reconstruction
Shivam Pathak, Mingyi He, Sergey Malinchik, Stanislav Sobolevsky
http://arxiv.org/abs/2101.09844v1
• [physics.flu-dyn]Inferring incompressible two-phase flow fields from the interface motion using physics-informed neural networks
Aaron B. Buhendwa, Stefan Adami, Nikolaus A. Adams
http://arxiv.org/abs/2101.09833v1
• [q-bio.NC]What If Memory Information is Stored Inside the Neuron, Instead of in the Synapse?
James Tee, Desmond P. Taylor
http://arxiv.org/abs/2101.09774v1
• [q-fin.PR]Solving optimal stopping problems with Deep Q-Learning
John Ery, Loris Michel
http://arxiv.org/abs/2101.09682v1
• [q-fin.ST]Unraveling S&P500 stock volatility and networks — An encoding and decoding approach
Xiaodong Wang, Fushing Hsieh
http://arxiv.org/abs/2101.09395v1
• [stat.AP]A Geospatial Functional Model For OCO-2 Data with Application on Imputation and Land Fraction Estimation
Xinyue Chang, Zhengyuan Zhu, Xiongtao D
4e8a
ai, Jonathan Hobbs
http://arxiv.org/abs/2101.09418v1
• [stat.AP]A heavy-tailed and overdispersed collective risk model
Pamela M. Chiroque-Solano, Fernando A. S. Moura
http://arxiv.org/abs/2101.09022v2
• [stat.AP]Addressing Spatially Structured Interference in Causal Analysis Using Propensity Scores
Keith W. Zirkle, Marie-Abele Bind, Jenise L. Swall, David C. Wheeler
http://arxiv.org/abs/2101.09297v1
• [stat.AP]An Environmentally-Adaptive Hawkes Process with An Application to COVID-19
Tingnan Gong, Yu Chen, Weiping Zhang
http://arxiv.org/abs/2101.09942v1
• [stat.AP]Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer
Zeya Wang, Veera Baladandayuthapan, Ahmed O. Kaseb, Hesham M. Amin, Manal M. Hassan, Wenyi Wang, Jeffrey S. Morris
http://arxiv.org/abs/2101.09587v1
• [stat.CO]sensobol: an R package to compute variance-based sensitivity indices
Arnald Puy, Samuele Lo Piano, Andrea Saltelli, Simon A. Levin
http://arxiv.org/abs/2101.10103v1
• [stat.ME]A Change-Point Based Control Chart for Detecting Sparse Changes in High-Dimensional Heteroscedastic Data
Zezhong Wang, Inez Maria Zwetsloot
http://arxiv.org/abs/2101.09424v1
• [stat.ME]Local linear tie-breaker designs
Dan M. Kluger, Art B. Owen
http://arxiv.org/abs/2101.09605v1
• [stat.ME]Low incidence rate of COVID-19 undermines confidence in estimation of the vaccine efficacy
Yasin Memari
http://arxiv.org/abs/2101.10005v1
• [stat.ME]Revisiting Identifying Assumptions for Population Size Estimation
Serge Aleshin-Guendel, Mauricio Sadinle, Jon Wakefield
http://arxiv.org/abs/2101.09304v1
• [stat.ME]The Role of Distributional Overlap on the Precision Gain of Bounds for Generalization
Wendy Chan
http://arxiv.org/abs/2101.09596v1
• [stat.ML]Entropy Partial Transport with Tree Metrics: Theory and Practice
Tam Le, Truyen Nguyen
http://arxiv.org/abs/2101.09756v1
• [stat.ML]NeurT-FDR: Controlling FDR by Incorporating Feature Hierarchy
Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli
http://arxiv.org/abs/2101.09809v1
• [stat.ML]Numerical issues in maximum likelihood parameter estimation for Gaussian process regression
Subhasish Basak, Sébastien Petit, Julien Bect, Emmanuel Vazquez
http://arxiv.org/abs/2101.09747v1
• [stat.ML]Tighter expected generalization error bounds via Wasserstein distance
Borja Rodríguez-Gálvez, Germán Bassi, Ragnar Thobaben, Mikael Skoglund
http://arxiv.org/abs/2101.09315v1
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