astro-ph.SR - 太阳和天体物理学恒星
cond-mat.dis-nn - 无序系统与神经网络 cond-mat.mtrl-sci - 材料科学 cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.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.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.DS - 动力系统 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.bio-ph - 生物物理 physics.chem-ph -化学物理 physics.comp-ph - 计算物理学 physics.data-an - 数据分析、 统计和概率 physics.flu-dyn - 流体动力学 physics.soc-ph - 物理学与社会 q-bio.MN - 分子网络 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.SR]How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events
• [cond-mat.dis-nn]Assessment of image generation by quantum annealer
• [cond-mat.mtrl-sci]Problem-fluent models for complex decision-making in autonomous materials research
• [cs.AI]A Methodology for Bi-Directional Knowledge-Based Assessment of Compliance to Continuous Application of Clinical Guidelines
• [cs.AI]Active Dynamical Prospection: Modeling Mental Simulation as Particle Filtering for Sensorimotor Control during Pathfinding
• [cs.AI]Automated Fact-Checking for Assisting Human Fact-Checkers
• [cs.AI]DeepGroup: Representation Learning for Group Recommendation with Implicit Feedback
• [cs.AI]Dynamically Switching Human Prediction Models for Efficient Planning
• [cs.AI]Evolving parametrized Loss for Image Classification Learning on Small Datasets
• [cs.AI]FES: A Fast Efficient Scalable QoS Prediction Framework
• [cs.AI]Flexible FOND Planning with Explicit Fairness Assumptions
• [cs.AI]Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions
• [cs.AI]Large-scale Recommendation for Portfolio Optimization
• [cs.AI]Learning Symbolic Rules for Interpretable Deep Reinforcement Learning
• [cs.AI]Online Double Oracle
• [cs.AI]R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph
• [cs.AI]S: A Heuristic Information-Based Approximation Framework for Multi-Goal Path Finding
• [cs.AI]Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction
• [cs.AI]TensorGP — Genetic Programming Engine in TensorFlow
• [cs.AI]Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts
• [cs.AI]Whole brain Probabilistic Generative Model toward Realizing Cognitive Architecture for Developmental Robots
• [cs.CE]Online Learning with Radial Basis Function Networks
• [cs.CL]A Review on Semi-Supervised Relation Extraction
• [cs.CL]A Study of Automatic Metrics for the Evaluation of Natural Language Explanations
• [cs.CL]A Systematic Review of Reproducibility Research in Natural Language Processing
• [cs.CL]A `Sourceful’ Twist: Emoji Prediction Based on Sentiment, Hashtags and Application Source
• [cs.CL]Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers
• [cs.CL]Approximating How Single Head Attention Learns
• [cs.CL]Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
• [cs.CL]Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs
• [cs.CL]Crowdsourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The Case of Fon Language
• [cs.CL]Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems
• [cs.CL]Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery
• [cs.CL]Generating CCG Categories
• [cs.CL]Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
• [cs.CL]Improving Diversity of Neural Text Generation via Inverse Probability Weighting
• [cs.CL]Learning a Word-Level Language Model with Sentence-Level Noise Contrastive Estimation for Contextual Sentence Probability Estimation
• [cs.CL]Mention-centered Graph Neural Network for Document-level Relation Extraction
• [cs.CL]Multi-view Subword Regularization
• [cs.CL]Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling
• [cs.CL]OCID-Ref: A 3D Robotic Dataset with Embodied Language for Clutter Scene Grounding
• [cs.CL]OkwuGbé: End-to-End Speech Recognition for Fon and Igbo
• [cs.CL]ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation
• [cs.CL]SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels
• [cs.CL]Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence
• [cs.CL]Targeted aspect based multimodal sentiment analysis:an attention capsule extraction and multi-head fusion network
• [cs.CL]Towards the evaluation of simultaneous speech translation from a communicative perspective
• [cs.CR]Attack as Defense: Characterizing Adversarial Examples using Robustness
• [cs.CR]BLOFF: A Blockchain based Forensic Model in IoT
• [cs.CR]Defining, Evaluating, Preparing for and Responding to a Cyber Pearl Harbor
• [cs.CR]Image Classifiers for Network Intrusions
• [cs.CR]Lightweight Selective Disclosure for Verifiable Documents on Blockchain
• [cs.CR]Privacy-Preserving Infection Exposure Notification without Trust in Third Parties
• [cs.CV]3D-FFS: Faster 3D object detection with Focused Frustum Search in sensor fusion based networks
• [cs.CV]3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction
• [cs.CV]A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors
• [cs.CV]Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation
• [cs.CV]An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking
• [cs.CV]Bangla Handwritten Digit Recognition and Generation
• [cs.CV]Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition
• [cs.CV]Beyond Image to Depth: Improving Depth Prediction using Echoes
• [cs.CV]Boosting ship detection in SAR images with complementary pretraining techniques
• [cs.CV]Boundary Proposal Network for Two-Stage Natural Language Video Localization
• [cs.CV]Cascaded Feature Warping Network for Unsupervised Medical Image Registration
• [cs.CV]Classifying Cycling Hazards in Egocentric Data
• [cs.CV]Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding
• [cs.CV]DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network
• [cs.CV]Deep Consensus Learning
• [cs.CV]Deep Tiling: Texture Tile Synthesis Using a Deep Learning Approach
• [cs.CV]DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision
• [cs.CV]Detecting Human-Object Interaction via Fabricated Compositional Learning
• [cs.CV]Detection and Localization of Facial Expression Manipulations
• [cs.CV]Dilated Fully Convolutional Neural Network for Depth Estimation from a Single Image
• [cs.CV]DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
• [cs.CV]Exploring Genetic-histologic Relationships in Breast Cancer
• [cs.CV]GRIHA: Synthesizing 2-Dimensional Building Layouts from Images Captured using a Smart Phone
• [cs.CV]Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs
• [cs.CV]Generating Unrestricted Adversarial Examples via Three Parameters
• [cs.CV]Geometric Change Detection in Digital Twins using 3D Machine Learning
• [cs.CV]Image Segmentation Methods for Non-destructive testing Applications
• [cs.CV]Improving Generalization of Transfer Learning Across Domains Using Spatio-Temporal Features in Autonomous Driving
• [cs.CV]Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset
• [cs.CV]Is Medical Chest X-ray Data Anonymous?
• [cs.CV]Knowledge driven Description Synthesis for Floor Plan Interpretation
• [cs.CV]LARNet: Lie Algebra Residual Network for Profile Face Recognition
• [cs.CV]Learning Compositional Representation for 4D Captures with Neural ODE
• [cs.CV]Learning a Proposal Classifier for Multiple Object Tracking
• [cs.CV]Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines
• [cs.CV]Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation
• [cs.CV]Metric Learning for Anti-Compression Facial Forgery Detection
• [cs.CV]Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
• [cs.CV]Monte Carlo Scene Search for 3D Scene Understanding
• [cs.CV]Multiclass Anomaly Detection in GI Endoscopic Images using Optimized Deep One-class Classification in an Imbalanced Dataset
• [cs.CV]NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Cameras
• [cs.CV]ORStereo: Occlusion-Aware Recurrent Stereo Matching for 4K-Resolution Images
• [cs.CV]PhotoApp: Photorealistic Appearance Editing of Head Portraits
• [cs.CV]Potential Escalator-related Injury Identification and Prevention Based on Multi-module Integrated System for Public Health
• [cs.CV]Principled Ultrasound Data Augmentation for Classification of Standard Planes
• [cs.CV]Pushing the Limits of Capsule Networks
• [cs.CV]R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method
• [cs.CV]Radar Camera Fusion via Representation Learning in Autonomous Driving
• [cs.CV]ReDet: A Rotation-equivariant Detector for Aerial Object Detection
• [cs.CV]Reconsidering Representation Alignment for Multi-view Clustering
• [cs.CV]Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images
• [cs.CV]Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation
• [cs.CV]Revisiting ResNets: Improved Training and Scaling Strategies
• [cs.CV]RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching
• [cs.CV]Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging
• [cs.CV]S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object Detection
• [cs.CV]SaNet: Scale-aware neural Network for Parsing Multiple Spatial Resolution Aerial Images
• [cs.CV]Semi-Supervised Video Deraining with Dynamic Rain Generator
• [cs.CV]Siamese Network Features for Endoscopy Image and Video Localization
• [cs.CV]Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis
• [cs.CV]Towards Generalizable and Robust Face Manipulation Detection via Bag-of-local-feature
• [cs.CV]Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation
• [cs.CV]TransFG: A Transformer Architecture for Fine-grained Recognition
• [cs.CV]Trust Your IMU: Consequences of Ignoring the IMU Drift
• [cs.CV]Uncertainty-Based Biological Age Estimation of Brain MRI Scans
• [cs.CV]Unsupervised Image Transformation Learning via Generative Adversarial Networks
• [cs.CV]Versailles-FP dataset: Wall Detection in Ancient
• [cs.CV]WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training
• [cs.CV]uTHCD: A New Benchmarking for Tamil Handwritten OCR
• [cs.CY]UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level
• [cs.DB]iWarded: A System for Benchmarking Datalog+/- Reasoning (technical report)
• [cs.DC]A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators
• [cs.DC]CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner
• [cs.DC]Improving scalability and reliability of MPI-agnostic transparent checkpointing for production workloads at NERSC
• [cs.DC]Megha: Decentralized Global Fair Scheduling for Federated Clusters
• [cs.DC]On distributed algorithms for minimum dominating set problem and beyond
• [cs.DC]PACEMAKER: Avoiding HeART attacks in storage clusters with disk-adaptive redundancy
• [cs.DL]Do open citations inform the qualitative peer-review evaluation in research assessments? An analysis of the Italian National Scientific Qualification
• [cs.HC]Automatically Lock Your Neural Networks When You’re Away
• [cs.HC]Crossing the Tepper Line: An Emerging Ontology for Describing the Dynamic Sociality of Embodied AI
• [cs.IR]Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System
• [cs.IR]Fairness-aware Personalized Ranking Recommendation via Adversarial Learning
• [cs.IR]Recommending Short-lived Dynamic Packages for Golf Booking Services
• [cs.IR]TripClick: The Log Files of a Large Health Web Search Engine
• [cs.IT]An Application of the Virus Optimization Algorithm to the Problem of Finding Extremal Binary Self-Dual Codes
• [cs.IT]Bilinear Complexity of 3-Tensors Linked to Coding Theory
• [cs.IT]Construction D’ Lattices for Power-Constrained Communications
• [cs.IT]Distribution Privacy Under Function Recoverability
• [cs.IT]Ideal-theoretic Explanation of Capacity-achieving Decoding
• [cs.IT]Instantaneous SED coding over a DMC
• [cs.IT]Linear Network Error Correction Coding: A Revisit
• [cs.IT]Multidimensional Generalized Quadrature Index Modulation for 5G Wireless Communications
• [cs.IT]On Bounds for Ring-Based Coding Theory
• [cs.IT]On the list decodability of rank-metric codes containing Gabidulin codes
• [cs.IT]Performance Analysis of Dual-Hop Relaying for THz-RF Wireless Link with Asymmetrical Fading
• [cs.IT]Power Control in Spectrum Sharing Systems with Almost-Zero Inter-System Signaling Overhead
• [cs.IT]RSS-Based UAV-BS 3-D Mobility Management via Policy Gradient Deep Reinforcement Learning
• [cs.IT]Resolution Limits of 20 Questions Search Strategies for Moving Targets
• [cs.IT]Sum-GDoF of Symmetric Multi-hop Interference Channel under Finite Precision CSIT using Aligned-Images Sumset Inequalities
• [cs.IT]TRUST: Triangle Counting Reloaded on GPUs
• [cs.IT]Tomlinson-Harashima Precoding with Stream Combiners for MU-MIMO with Rate-Splitting
• [cs.LG]A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training
• [cs.LG]A Scalable Gradient-Free Method for Bayesian Experimental Design with Implicit Models
• [cs.LG]A new interpretable unsupervised anomaly detection method based on residual explanation
• [cs.LG]A review of machine learning in processing remote sensing data for mineral exploration
• [cs.LG]Adversarial Training is Not Ready for Robot Learning
• [cs.LG]Beyond #card=math&code=%5Clog%5E2%28T%29) Regret for Decentralized Bandits in Matching Markets
• [cs.LG]BreakingBED — Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks
• [cs.LG]CACTUS: Detecting and Resolving Conflicts in Objective Functions
• [cs.LG]Claim Verification using a Multi-GAN based Model
• [cs.LG]Conceptual capacity and effective complexity of neural networks
• [cs.LG]Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy
• [cs.LG]Continual Learning for Recurrent Neural Networks: a Review and Empirical Evaluation
• [cs.LG]DIPPA: An improved Method for Bilinear Saddle Point Problems
• [cs.LG]Deep Neural Network Based Ensemble learning Algorithms for the healthcare system (diagnosis of chronic diseases)
• [cs.LG]Distributed Learning and Democratic Embeddings: Polynomial-Time Source Coding Schemes Can Achieve Minimax Lower Bounds for Distributed Gradient Descent under Communication Constraints
• [cs.LG]Efficient Intrusion Detection Using Evidence Theory
• [cs.LG]Efficient Sparse Artificial Neural Networks
• [cs.LG]Ensemble Learning with Manifold-Based Data Splitting for Noisy Label Correction
• [cs.LG]Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts
• [cs.LG]Feature selection for medical diagnosis: Evaluation for using a hybrid Stacked-Genetic approach in the diagnosis of heart disease
• [cs.LG]Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems
• [cs.LG]How Many Data Points is a Prompt Worth?
• [cs.LG]How to distribute data across tasks for meta-learning?
• [cs.LG]Hybrid computer approach to train a machine learning system
• [cs.LG]Hybrid stacked ensemble combined with genetic algorithms for Prediction of Diabetes
• [cs.LG]Internal Wasserstein Distance for Adversarial Attack and Defense
• [cs.LG]Learning Defense Transformers for Counterattacking Adversarial Examples
• [cs.LG]Learning One Representation to Optimize All Rewards
• [cs.LG]Learning with Feature Dependent Label Noise: a Progressive Approach
• [cs.LG]Mean Field Game GAN
• [cs.LG]Membership Inference Attacks on Machine Learning: A Survey
• [cs.LG]Meta-Solver for Neural Ordinary Differential Equations
• [cs.LG]Modeling and forecasting Spread of COVID-19 epidemic in Iran until Sep 22, 2021, based on deep learning
• [cs.LG]Mutual Information State Intrinsic Control
• [cs.LG]Neural Networks and Denotation
• [cs.LG]Offline Reinforcement Learning with Fisher Divergence Critic Regularization
• [cs.LG]Pre-interpolation loss behaviour in neural networks
• [cs.LG]Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised Learning
• [cs.LG]Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
• [cs.LG]Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions
• [cs.LG]RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
• [cs.LG]Reinforcement Learning with Algorithms from Probabilistic Structure Estimation
• [cs.LG]Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning
• [cs.LG]Robust Model Compression Using Deep Hypotheses
• [cs.LG]SMOTE-ENC: A novel SMOTE-based method to generate synthetic data for nominal and continuous features
• [cs.LG]Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
• [cs.LG]Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise
• [cs.LG]Semi-supervised learning by selective training with pseudo labels via confidence estimation
• [cs.LG]Simeon — Secure Federated Machine Learning Through Iterative Filtering
• [cs.LG]Solving Compositional Reinforcement Learning Problems via Task Reduction
• [cs.LG]Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
• [cs.LG]Student-Teacher Learning from Clean Inputs to Noisy Inputs
• [cs.LG]Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification
• [cs.LG]TinyOL: TinyML with Online-Learning on Microcontrollers
• [cs.LG]Treatment Effect Estimation using Invariant Risk Minimization
• [cs.LG]Understanding invariance via feedforward inversion of discriminatively trained classifiers
• [cs.LG]VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
• [cs.LG]Visualizing Data Velocity using DSNE
• [cs.MA]Quasi-Equivalence Discovery for Zero-Shot Emergent Communication
• [cs.MM]Multi-view data capture for dynamic object reconstruction using handheld augmented reality mobiles
• [cs.NE]Increased Complexity and Fitness of Artificial Cells that Reproduce Using Spatially Distributed Asynchronous Parallel Processes
• [cs.NE]Probabilistic Grammatical Evolution
• [cs.RO]A Continuous-Time Approach for 3D Radar-to-Camera Extrinsic Calibration
• [cs.RO]A Normal Distribution Transform-Based Radar Odometry Designed For Scanning and Automotive Radars
• [cs.RO]AIR4Children: Artificial Intelligence and Robotics for Children
• [cs.RO]Cloth Manipulation Planning on Basis of Mesh Representations with Incomplete Domain Knowledge and Voxel-to-Mesh Estimation
• [cs.RO]Design of a vision based range bearing and heading system for robot swarms
• [cs.RO]Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments
• [cs.RO]Exploratory evaluation of politeness in human-robot interaction
• [cs.RO]Extrinsic Contact Sensing with Relative-Motion Tracking from Distributed Tactile Measurements
• [cs.RO]Feedback modalities for a table setting robot assistant for elder care
• [cs.RO]GVINS: Tightly Coupled GNSS-Visual-Inertial for Smooth and Consistent State Estimation
• [cs.RO]Gathering of seven autonomous mobile robots on triangular grids
• [cs.RO]Gradient Policy on “CartPole” game and its’ expansibility to F1Tenth Autonomous Vehicles
• [cs.RO]HOPPY: An Open-source Kit for Education with Dynamic Legged Robots
• [cs.RO]Learning needle insertion from sample task executions
• [cs.RO]Learning robust driving policies without online exploration
• [cs.RO]MBAPose: Mask and Bounding-Box Aware Pose Estimation of Surgical Instruments with Photorealistic Domain Randomization
• [cs.RO]Mean Field Behaviour of Collaborative Multi-Agent Foragers
• [cs.RO]Meta Preference Learning for Fast User Adaptation in Human-Supervisory Multi-Robot Deployments
• [cs.RO]Meta-Modeling of Assembly Contingencies and Planning for Repair
• [cs.RO]Modelling Human Kinetics and Kinematics during Walking using Reinforcement Learning
• [cs.RO]Multi-Object Tracking using Poisson Multi-Bernoulli Mixture Filtering for Autonomous Vehicles
• [cs.RO]Neural Motion Prediction for In-flight Uneven Object Catching
• [cs.RO]Online Learning of Objects through Curiosity-Driven Active Learning
• [cs.RO]Personalized Human-Swarm Interaction through Hand Motion
• [cs.RO]RLSS: Real-time Multi-Robot Trajectory Replanning using Linear Spatial Separations
• [cs.RO]Repairing Human Trust by Promptly Correcting Robot Mistakes with An Attention Transfer Model
• [cs.RO]Safe Sampling-Based Air-Ground Rendezvous Algorithm for Complex Urban Environments
• [cs.RO]Shape-induced obstacle attraction and repulsion during dynamic locomotion
• [cs.RO]Slip-Based Autonomous ZUPT through Gaussian Process to Improve Planetary Rover Localization
• [cs.RO]Success Weighted by Completion Time: A Dynamics-Aware Evaluation Criteria for Embodied Navigation
• [cs.RO]Vision based range and bearing algorithm for robot swarms
• [cs.SD]DHASP: Differentiable Hearing Aid Speech Processing
• [cs.SD]Embedding Calibration for Music Semantic Similarity using Auto-regressive Transformer
• [cs.SD]Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems
• [cs.SD]Towards Robust Speech-to-Text Adversarial Attack
• [cs.SE]Developing an Underwater Network of Ocean Observation Systems with Digital Twin Prototypes — A Field Report from the Baltic Sea
• [cs.SE]EnHMM: On the Use of Ensemble HMMs and Stack Traces to Predict the Reassignment of Bug Report Fields
• [cs.SE]Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting
• [cs.SE]Software Architecture for ML-based Systems: What Exists and What Lies Ahead
• [cs.SI]A comparison of common behavioral observation software applications and recommendations for use
• [cs.SI]Derivation and Characteristics of Closed-Form Solutions of the Fundamental Equations for Online User Dynamics
• [cs.SI]Regional economic integration via detection of circular flow in international value-added network
• [cs.SI]Understanding User Topic Preferences across Multiple Social Networks
• [econ.EM]Estimating the Long-Term Effects of Novel Treatments
• [econ.GN]Territorial differences in the spread of COVID-19 in European regions and US counties
• [eess.AS]XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition
• [eess.IV]COVID-19 Infection Localization and Severity Grading from Chest X-ray Images
• [eess.IV]DiaRet: A browser-based application for the grading of Diabetic Retinopathy with Integrated Gradients
• [eess.IV]Early Prediction and Diagnosis of Retinoblastoma Using Deep Learning Techniques
• [eess.IV]Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks
• [eess.IV]Learning Frequency-aware Dynamic Network for Efficient Super-Resolution
• [eess.IV]Mining Artifacts in Mycelium SEM Micrographs
• [eess.IV]Progressive residual learning for single image dehazing
• [eess.IV]The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion
• [eess.IV]Untrained networks for compressive lensless photography
• [eess.IV]VMAF And Variants: Towards A Unified VQA
• [eess.IV]Which K-Space Sampling Schemes is good for Motion Artifact Detection in Magnetic Resonance Imaging?
• [eess.SP]Rate-Splitting Multiple Access for Multi-Antenna Joint Radar and Communications
• [eess.SP]Reconfigurable Intelligent Surface-Assisted Ambient Backscatter Communications — Experimental Assessment
• [eess.SP]Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks
• [eess.SY]RL-Controller: a reinforcement learning framework for active structural control
• [math.DS]Nonequilibrium in Thermodynamic Formalism: the Second Law, gases and Information Geometry
• [math.OC]A machine learning approach to itinerary-level booking prediction in competitive airline markets
• [math.OC]Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach
• [math.OC]Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction
• [math.OC]On Incorporating Forecasts into Linear State Space Model Markov Decision Processes
• [math.OC]Transient growth of accelerated first-order methods for strongly convex optimization problems
• [math.OC]Use of static surrogates in hyperparameter optimization
• [math.PR]Weighted mean inactivity time function with applications
• [math.ST]Adaptive posterior convergence in sparse high dimensional clipped generalized linear models
• [math.ST]Bias Reduction in Sample-Based Optimization
• [math.ST]Cluster based inference for extremes of time series
• [math.ST]Extreme value analysis for mixture models with heavy-tailed impurity
• [math.ST]On statistical estimation and inferences in optional regression models
• [math.ST]Renyi Entropy of Multivariate Autoregressive Moving Average Control Systems
• [nlin.AO]Emergence of self-reproducing metabolisms as recursive algorithms in an Artificial Chemistry
• [physics.bio-ph]Network community structure and resilience to localized damage: application to brain microcirculation
• [physics.chem-ph]Toward Machine Learned Highly Reduce Kinetic Models For Methane/Air Combustion
• [physics.comp-ph]A Modified Batch Intrinsic Plasticity Method for Pre-training the Random Coefficients of Extreme Learning Machines
• [physics.data-an]Pandemonium: a clustering tool to partition parameter space — application to the B anomalies
• [physics.flu-dyn]State-space aerodynamic model reveals high force control authority and predictability in flapping flight
• [physics.soc-ph]A Study on the Effects of Diffusion of Information on Epidemic Spread
• [physics.soc-ph]Diffusion of Innovation In Competitive Markets-A Study on the Global Smartphone Diffusion
• [physics.soc-ph]The Effect of Social Media on Shaping Individuals Opinion Formation
• [physics.soc-ph]The Effects of Diffusion of Information on Epidemic Spread — A Multilayer Approach
• [q-bio.MN]SEMgraph: An R Package for Causal Network Analysis of High-Throughput Data with Structural Equation Models
• [q-bio.NC]Constrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks
• [q-bio.QM]I-Nema: A Biological Image Dataset for Nematode Recognition
• [quant-ph]Diagrammatic Differentiation for Quantum Machine Learning
• [quant-ph]On entanglement assistance to a noiseless classical channel
• [quant-ph]Quantum Private Distributed Learning Through Blind Quantum Computing
• [quant-ph]Toward a Union-Find decoder for quantum LDPC codes
• [stat.AP]A Simulation Study Evaluating Phase I Clinical Trial Designs for Combinational Agents
• [stat.AP]Closed testing procedures for treatment-versus-control comparisons and multiple correlated endpoint
• [stat.AP]Evaluating distributional regression strategies for modelling self-reported sexual age-mixing
• [stat.AP]Modeling Longitudinal Dynamics of Comorbidities
• [stat.AP]Modeling Multivariate Cyber Risks: Deep Learning Dating Extreme Value Theory
• [stat.AP]Statistical inference for ARTFIMA time series with stable innovations
• [stat.ME]A two-way factor model for high-dimensional matrix data
• [stat.ME]Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions
• [stat.ME]Multivariate Count Time Series Modelling
• [stat.ME]Quantifying uncertainty in spikes estimated from calcium imaging data
• [stat.ME]Single-stage, three-arm, adaptive test strategies for non-inferiority trials with an unstable reference
• [stat.ME]Sparse Functional Boxplots for Multivariate Curves
• [stat.ME]Testing for the Network Small-World Property
• [stat.ME]Valid sequential inference on probability forecast performance
• [stat.ML]Causal Markov Boundaries
• [stat.ML]Forecasting reconciliation with a top-down alignment of independent level forecasts
• [stat.ML]Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data
• [stat.ML]Representation Theorem for Matrix Product States
• [stat.ML]Von Mises-Fisher Elliptical Distribution
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• [astro-ph.SR]How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events
Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk
http://arxiv.org/abs/2103.07542v1
• [cond-mat.dis-nn]Assessment of image generation by quantum annealer
Takehito Sato, Masayuki Ohzeki, Kazuyuki Tanaka
http://arxiv.org/abs/2103.08373v1
• [cond-mat.mtrl-sci]Problem-fluent models for complex decision-making in autonomous materials research
Soojung Baek, Kristofer G. Reyes
http://arxiv.org/abs/2103.07776v1
• [cs.AI]A Methodology for Bi-Directional Knowledge-Based Assessment of Compliance to Continuous Application of Clinical Guidelines
Avner Hatsek, Yuval Shahar
http://arxiv.org/abs/2103.07789v1
• [cs.AI]Active Dynamical Prospection: Modeling Mental Simulation as Particle Filtering for Sensorimotor Control during Pathfinding
Jeremy Gordon, John Chuang
http://arxiv.org/abs/2103.07966v1
• [cs.AI]Automated Fact-Checking for Assisting Human Fact-Checkers
Preslav Nakov, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino
http://arxiv.org/abs/2103.07769v1
• [cs.AI]DeepGroup: Representation Learning for Group Recommendation with Implicit Feedback
Sarina Sajadi Ghaemmaghami, Amirali Salehi-Abari
http://arxiv.org/abs/2103.07597v1
• [cs.AI]Dynamically Switching Human Prediction Models for Efficient Planning
Arjun Sripathy, Andreea Bobu, Daniel S. Brown, Anca D. Dragan
http://arxiv.org/abs/2103.07815v1
• [cs.AI]Evolving parametrized Loss for Image Classification Learning on Small Datasets
Zhaoyang Hai, Xiabi Liu
http://arxiv.org/abs/2103.08249v1
• [cs.AI]FES: A Fast Efficient Scalable QoS Prediction Framework
Soumi Chattopadhyay, Chandranath Adak, Ranjana Roy Chowdhury
http://arxiv.org/abs/2103.07494v1
• [cs.AI]Flexible FOND Planning with Explicit Fairness Assumptions
Ivan D. Rodriguez, Blai Bonet, Sebastian Sardina, Hector Geffner
http://arxiv.org/abs/2103.08391v1
• [cs.AI]Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions
Anil Ozturk, Mustafa Burak Gunel, Resul Dagdanov, Mirac Ekim Vural, Ferhat Yurdakul, Melih Dal, Nazim Kemal Ure
http://arxiv.org/abs/2103.07903v1
• [cs.AI]Large-scale Recommendation for Portfolio Optimization
Robin Swezey, Bruno Charron
http://arxiv.org/abs/2103.07768v1
• [cs.AI]Learning Symbolic Rules for Interpretable Deep Reinforcement Learning
Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao
http://arxiv.org/abs/2103.08228v1
• [cs.AI]Online Double Oracle
Le Cong Dinh, Yaodong Yang, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Jun Wang
http://arxiv.org/abs/2103.07780v1
• [cs.AI]R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph
Xinliang Wu, Mengying Jiang, Guizhong Liu
http://arxiv.org/abs/2103.07877v1
• [cs.AI]S: A Heuristic Information-Based Approximation Framework for Multi-Goal Path Finding
Kenny Chour, Sivakumar Rathinam, Ramamoorthi Ravi
http://arxiv.org/abs/2103.08155v1
• [cs.AI]Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction
Donghwan Lee, Niao He, Seungjae Lee, Panagiota Karava, Jianghai Hu
http://arxiv.org/abs/2103.07919v1
• [cs.AI]TensorGP — Genetic Programming Engine in TensorFlow
Francisco Baeta, João Correia, Tiago Martins, Penousal Machado
http://arxiv.org/abs/2103.07512v1
• [cs.AI]Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts
Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang
http://arxiv.org/abs/2103.08115v1
• [cs.AI]Whole brain Probabilistic Generative Model toward Realizing Cognitive Architecture for Developmental Robots
Tadahiro Taniguchi, Hiroshi Yamakawa, Takayuki Nagai, Kenji Doya, Masamichi Sakagami, Masahiro Suzuki, Tomoaki Nakamura, Akira Taniguchi
http://arxiv.org/abs/2103.08183v1
• [cs.CE]Online Learning with Radial Basis Function Networks
Gabriel Borrageiro, Nick Firoozye, Paolo Barucca
http://arxiv.org/abs/2103.08414v1
• [cs.CL]A Review on Semi-Supervised Relation Extraction
Yusen Lin
http://arxiv.org/abs/2103.07575v1
• [cs.CL]A Study of Automatic Metrics for the Evaluation of Natural Language Explanations
Miruna Clinciu, Arash Eshghi, Helen Hastie
http://arxiv.org/abs/2103.08545v1
• [cs.CL]A Systematic Review of Reproducibility Research in Natural Language Processing
Anya Belz, Shubham Agarwal, Anastasia Shimorina, Ehud Reiter
http://arxiv.org/abs/2103.07929v1
• [cs.CL]A `Sourceful’ Twist: Emoji Prediction Based on Sentiment, Hashtags and Application Source
Pranav Venkit, Zeba Karishma, Chi-Yang Hsu, Rahul Katiki, Kenneth Huang, Shomir Wilson, Patrick Dudas
http://arxiv.org/abs/2103.07833v1
• [cs.CL]Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers
Sandeep Soni, Lauren Klein, Jacob Eisenstein
http://arxiv.org/abs/2103.07538v1
• [cs.CL]Approximating How Single Head Attention Learns
Charlie Snell, Ruiqi Zhong, Dan Klein, Jacob Steinhardt
http://arxiv.org/abs/2103.07601v1
• [cs.CL]Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
Shaowei Chen, Yu Wang, Jie Liu, Yuelin Wang
http://arxiv.org/abs/2103.07665v1
• [cs.CL]Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs
Joan Plepi, Endri Kacupaj, Kuldeep Singh, Harsh Thakkar, Jens Lehmann
http://arxiv.org/abs/2103.07766v1
• [cs.CL]Crowdsourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The Case of Fon Language
Bonaventure F. P. Dossou, Chris C. Emezue
http://arxiv.org/abs/2103.08052v1
• [cs.CL]Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems
Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian V. Serban, François St-Hilaire, Jackie C. K. Cheung
http://arxiv.org/abs/2103.07785v1
• [cs.CL]Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery
Yasuaki Okuda, Ryo Ozaki, Tadahiro Taniguchi
http://arxiv.org/abs/2103.08199v1
• [cs.CL]Generating CCG Categories
Yufang Liu, Tao Ji, Yuanbin Wu, Man Lan
http://arxiv.org/abs/2103.08139v1
• [cs.CL]Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
Tal Schuster, Adam Fisch, Regina Barzilay
http://arxiv.org/abs/2103.08541v1
• [cs.CL]Improving Diversity of Neural Text Generation via Inverse Probability Weighting
Xinran Zhang, Maosong Sun, Jiafeng Liu, Xiaobing Li
http://arxiv.org/abs/2103.07649v1
• [cs.CL]Learning a Word-Level Language Model with Sentence-Level Noise Contrastive Estimation for Contextual Sentence Probability Estimation
Heewoong Park, Sukhyun Cho, Jonghun Park
http://arxiv.org/abs/2103.07875v1
• [cs.CL]Mention-centered Graph Neural Network for Document-level Relation Extraction
Jiaxin Pan, Min Peng, Yiyan Zhang
http://arxiv.org/abs/2103.08200v1
• [cs.CL]Multi-view Subword Regularization
Xinyi Wang, Sebastian Ruder, Graham Neubig
http://arxiv.org/abs/2103.08490v1
• [cs.CL]Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit, Huzefa Rangwala
http://arxiv.org/abs/2103.07792v1
• [cs.CL]OCID-Ref: A 3D Robotic Dataset with Embodied Language for Clutter Scene Grounding
Ke-Jyun Wang, Yun-Hsuan Liu, Hung-Ting Su, Jen-Wei Wang, Yu-Siang Wang, Winston H. Hsu, Wen-Chin Chen
http://arxiv.org/abs/2103.07679v1
• [cs.CL]OkwuGbé: End-to-End Speech Recognition for Fon and Igbo
Bonaventure F. P. Dossou, Chris C. Emezue
http://arxiv.org/abs/2103.07762v1
• [cs.CL]ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation
Endri Kacupaj, Barshana Banerjee, Kuldeep Singh, Jens Lehmann
http://arxiv.org/abs/2103.07771v1
• [cs.CL]SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels
Chenliang Li, Ming Yan, Haiyang Xu, Fuli Luo, Wei Wang, Bin Bi, Songfang Huang
http://arxiv.org/abs/2103.07829v1
• [cs.CL]Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence
Hongyang Gao, Yi Liu, Xuan Zhang, Shuiwang Ji
http://arxiv.org/abs/2103.08387v1
• [cs.CL]Targeted aspect based multimodal sentiment analysis:an attention capsule extraction and multi-head fusion network
Jiaqian Wang, Donghong Gu, Chi Yang, Yun Xue, Zhengxin Song, Haoliang Zhao, Luwei Xiao
http://arxiv.org/abs/2103.07659v1
• [cs.CL]Towards the evaluation of simultaneous speech translation from a communicative perspective
claudio Fantinuoli, Bianca Prandi
http://arxiv.org/abs/2103.08364v1
• [cs.CR]Attack as Defense: Characterizing Adversarial Examples using Robustness
Zhe Zhao, Guangke Chen, Jingyi Wang, Yiwei Yang, Fu Song, Jun Sun
http://arxiv.org/abs/2103.07633v1
• [cs.CR]BLOFF: A Blockchain based Forensic Model in IoT
Promise Agbedanu, Anca Delia Jurcut
http://arxiv.org/abs/2103.08442v1
• [cs.CR]Defining, Evaluating, Preparing for and Responding to a Cyber Pearl Harbor
Jeremy Straub
http://arxiv.org/abs/2103.07662v1
• [cs.CR]Image Classifiers for Network Intrusions
David A. Noever, Samantha E. Miller Noever
http://arxiv.org/abs/2103.07765v1
• [cs.CR]Lightweight Selective Disclosure for Verifiable Documents on Blockchain
Kenji Saito, Satoki Watanabe
http://arxiv.org/abs/2103.07655v1
• [cs.CR]Privacy-Preserving Infection Exposure Notification without Trust in Third Parties
Kenji Saito, Mitsuru Iwamura
http://arxiv.org/abs/2103.07669v1
• [cs.CV]3D-FFS: Faster 3D object detection with Focused Frustum Search in sensor fusion based networks
Aniruddha Ganguly, Tasin Ishmam, Khandker Aftarul Islam, Md Zahidur Rahman, Md. Shamsuzzoha Bayzid
http://arxiv.org/abs/2103.08294v1
• [cs.CV]3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction
Yuda Qiu, Xiaojie Xu, Lingteng Qiu, Yan Pan, Yushuang Wu, Weikai Chen, Xiaoguang Han
http://arxiv.org/abs/2103.08204v1
• [cs.CV]A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors
Salman Ul Hassan Dar, Mahmut Yurt, Tolga Çukur
http://arxiv.org/abs/2103.07790v1
• [cs.CV]Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation
Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar
http://arxiv.org/abs/2103.08219v1
• [cs.CV]An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking
Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu
http://arxiv.org/abs/2103.07615v1
• [cs.CV]Bangla Handwritten Digit Recognition and Generation
Md Fahim Sikder
http://arxiv.org/abs/2103.07905v1
• [cs.CV]Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition
Stefan Schubert, Peer Neubert, Peter Protzel
http://arxiv.org/abs/2103.08366v1
• [cs.CV]Beyond Image to Depth: Improving Depth Prediction using Echoes
Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma
http://arxiv.org/abs/2103.08468v1
• [cs.CV]Boosting ship detection in SAR images with complementary pretraining techniques
Wei Bao, Meiyu Huang, Yaqin Zhang, Yao Xu, Xuejiao Liu, Xueshuang Xiang
http://arxiv.org/abs/2103.08251v1
• [cs.CV]Boundary Proposal Network for Two-Stage Natural Language Video Localization
Shaoning Xiao, Long Chen, Songyang Zhang, Wei Ji, Jian Shao, Lu Ye, Jun Xiao
http://arxiv.org/abs/2103.08109v1
• [cs.CV]Cascaded Feature Warping Network for Unsupervised Medical Image Registration
Liutong Zhang, Lei Zhou, Ruiyang Li, Xianyu Wang, Boxuan Han, Hongen Liao
http://arxiv.org/abs/2103.08213v1
• [cs.CV]Classifying Cycling Hazards in Egocentric Data
Jayson Haebich, Christian Sandor, Alvaro Cassinelli
http://arxiv.org/abs/2103.08102v1
• [cs.CV]Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding
Xin Wen, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu
http://arxiv.org/abs/2103.07838v1
• [cs.CV]DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network
Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He
http://arxiv.org/abs/2103.08160v1
• [cs.CV]Deep Consensus Learning
Wei Sun, Tianfu Wu
http://arxiv.org/abs/2103.08475v1
• [cs.CV]Deep Tiling: Texture Tile Synthesis Using a Deep Learning Approach
Vasilis Toulatzis, Ioannis Fudos
http://arxiv.org/abs/2103.07992v1
• [cs.CV]DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision
Tzu-Ming Hsu, Yin-Chih Wang
http://arxiv.org/abs/2103.08290v1
• [cs.CV]Detecting Human-Object Interaction via Fabricated Compositional Learning
Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao
http://arxiv.org/abs/2103.08214v1
• [cs.CV]Detection and Localization of Facial Expression Manipulations
Ghazal Mazaheri, Amit K. Roy-Chowdhury
http://arxiv.org/abs/2103.08134v1
• [cs.CV]Dilated Fully Convolutional Neural Network for Depth Estimation from a Single Image
Binghan Li, Yindong Hua, Yifeng Liu, Mi Lu
http://arxiv.org/abs/2103.07570v1
• [cs.CV]DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li
http://arxiv.org/abs/2103.07893v1
• [cs.CV]Exploring Genetic-histologic Relationships in Breast Cancer
Ruchi Chauhan, PK Vinod, CV Jawahar
http://arxiv.org/abs/2103.08082v1
• [cs.CV]GRIHA: Synthesizing 2-Dimensional Building Layouts from Images Captured using a Smart Phone
Shreya Goyal, Naimul Khan, Chiranjoy Chattopadhyay, Gaurav Bhatnagar
http://arxiv.org/abs/2103.08297v1
• [cs.CV]Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs
Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold
http://arxiv.org/abs/2103.08236v1
• [cs.CV]Generating Unrestricted Adversarial Examples via Three Parameters
Hanieh Naderi, Leili Goli, Shohreh Kasaei
http://arxiv.org/abs/2103.07640v1
• [cs.CV]Geometric Change Detection in Digital Twins using 3D Machine Learning
Tiril Sundby, Julia Maria Graham, Adil Rasheed, Mandar Tabib, Omer San
http://arxiv.org/abs/2103.08201v1
• [cs.CV]Image Segmentation Methods for Non-destructive testing Applications
EL-Hachemi Guerrout, Ramdane Mahiou, Randa Boukabene, Assia Ouali
http://arxiv.org/abs/2103.07754v1
• [cs.CV]Improving Generalization of Transfer Learning Across Domains Using Spatio-Temporal Features in Autonomous Driving
Shivam Akhauri, Laura Zheng, Tom Goldstein, Ming Lin
http://arxiv.org/abs/2103.08116v1
• [cs.CV]Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset
Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen Curran
http://arxiv.org/abs/2103.08590v1
• [cs.CV]Is Medical Chest X-ray Data Anonymous?
Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier
http://arxiv.org/abs/2103.08562v1
• [cs.CV]Knowledge driven Description Synthesis for Floor Plan Interpretation
Shreya Goyal, Chiranjoy Chattopadhyay, Gaurav Bhatnagar
http://arxiv.org/abs/2103.08298v1
• [cs.CV]LARNet: Lie Algebra Residual Network for Profile Face Recognition
Xiaolong Yang
http://arxiv.org/abs/2103.08147v1
• [cs.CV]Learning Compositional Representation for 4D Captures with Neural ODE
Boyan Jiang, Yinda Zhang, Xingkui Wei, Xiangyang Xue, Yanwei Fu
http://arxiv.org/abs/2103.08271v1
• [cs.CV]Learning a Proposal Classifier for Multiple Object Tracking
Peng Dai, Renliang Weng, Wongun Choi, Changshui Zhang, Zhangping He, Wei Ding
http://arxiv.org/abs/2103.07889v1
• [cs.CV]Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines
Christoph Angermann, Steinbjörn Jónsson, Markus Haltmeier, Adéla Moravová, Christian Laubichler, Constantin Kiesling, Martin Kober, Wolfgang Fimml
http://arxiv.org/abs/2103.08482v1
• [cs.CV]Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation
Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng, Yang Liu, Jiayu Zhou, Yao Zhao
http://arxiv.org/abs/2103.08454v1
• [cs.CV]Metric Learning for Anti-Compression Facial Forgery Detection
Shenhao Cao, Qin Zou, Xiuqing Mao, Zhongyuan Wang
http://arxiv.org/abs/2103.08397v1
• [cs.CV]Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang
http://arxiv.org/abs/2103.07941v1
• [cs.CV]Monte Carlo Scene Search for 3D Scene Understanding
Shreyas Hampali, Sinisa Stekovic, Sayan Deb Sarkar, Chetan Srinivasa Kumar, Friedrich Fraundorfer, Vincent Lepetit
http://arxiv.org/abs/2103.07969v1
• [cs.CV]Multiclass Anomaly Detection in GI Endoscopic Images using Optimized Deep One-class Classification in an Imbalanced Dataset
Mohammad Reza Mohebbian, Seyed Shahim Vedaei, Khan A. Wahid, Paul Babyn
http://arxiv.org/abs/2103.08508v1
• [cs.CV]NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Cameras
Xin Suo, Yuheng Jiang, Pei Lin, Yingliang Zhang, Kaiwen Guo, Minye Wu, Lan Xu
http://arxiv.org/abs/2103.07700v1
• [cs.CV]ORStereo: Occlusion-Aware Recurrent Stereo Matching for 4K-Resolution Images
Yaoyu Hu, Wenshan Wang, Huai Yu, Weikun Zhen, Sebastian Scherer
http://arxiv.org/abs/2103.07798v1
• [cs.CV]PhotoApp: Photorealistic Appearance Editing of Head Portraits
Mallikarjun B R, Ayush Tewari, Abdallah Dib, Tim Weyrich, Bernd Bickel, Hans-Peter Seidel, Hanspeter Pfister, Wojciech Matusik, Louis Chevallier, Mohamed Elgharib, Christian Theobalt
http://arxiv.org/abs/2103.07658v1
• [cs.CV]Potential Escalator-related Injury Identification and Prevention Based on Multi-module Integrated System for Public Health
Zeyu Jiao, Huan Lei, Hengshan Zong, Yingjie Cai, Zhenyu Zhong
http://arxiv.org/abs/2103.07620v1
• [cs.CV]Principled Ultrasound Data Augmentation for Classification of Standard Planes
Lok Hin Lee, Yuan Gao, J. Alison Noble
http://arxiv.org/abs/2103.07895v1
• [cs.CV]Pushing the Limits of Capsule Networks
Prem Nair, Rohan Doshi, Stefan Keselj
http://arxiv.org/abs/2103.08074v1
• [cs.CV]R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method
Pranav Kadam, Min Zhang, Shan Liu, C. -C. Jay Kuo
http://arxiv.org/abs/2103.08129v1
• [cs.CV]Radar Camera Fusion via Representation Learning in Autonomous Driving
Xu Dong, Binnan Zhuang, Yunxiang Mao, Langechuan Liu
http://arxiv.org/abs/2103.07825v1
• [cs.CV]ReDet: A Rotation-equivariant Detector for Aerial Object Detection
Jiaming Han, Jian Ding, Nan Xue, Gui-Song Xia
http://arxiv.org/abs/2103.07733v1
• [cs.CV]Reconsidering Representation Alignment for Multi-view Clustering
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
http://arxiv.org/abs/2103.07738v1
• [cs.CV]Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images
Haolin Liu, Anran Lin, Xiaoguang Han, Lei Yang, Yizhou Yu, Shuguang Cui
http://arxiv.org/abs/2103.07894v1
• [cs.CV]Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation
Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, Il-Chul Moon
http://arxiv.org/abs/2103.08273v1
• [cs.CV]Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello, William Fedus, Xianzhi Du, Ekin D. Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph
http://arxiv.org/abs/2103.07579v1
• [cs.CV]RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching
Udit Singh Parihar, Aniket Gujarathi, Kinal Mehta, Satyajit Tourani, Sourav Garg, Michael Milford, K. Madhava Krishna
http://arxiv.org/abs/2103.08573v1
• [cs.CV]Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging
Álvaro Parra, Shin-Fang Chng, Tat-Jun Chin, Anders Eriksson, Ian Reid
http://arxiv.org/abs/2103.08292v1
• [cs.CV]S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object Detection
Li Wang, Chenfei Wang, Xinyu Zhang, Tianwei Lan, Jun Li
http://arxiv.org/abs/2103.08439v1
• [cs.CV]SaNet: Scale-aware neural Network for Parsing Multiple Spatial Resolution Aerial Images
Libo Wang
http://arxiv.org/abs/2103.07935v1
• [cs.CV]Semi-Supervised Video Deraining with Dynamic Rain Generator
Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng
http://arxiv.org/abs/2103.07939v1
• [cs.CV]Siamese Network Features for Endoscopy Image and Video Localization
Mohammad Reza Mohebbian, Seyed Shahim Vedaei, Khan A. Wahid, Paul Babyn
http://arxiv.org/abs/2103.08504v1
• [cs.CV]Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis
Jianhua Sun, Yuxuan Li, Hao-Shu Fang, Cewu Lu
http://arxiv.org/abs/2103.07854v1
• [cs.CV]Towards Generalizable and Robust Face Manipulation Detection via Bag-of-local-feature
Changtao Miao, Qi Chu, Weihai Li, Tao Gong, Wanyi Zhuang, Nenghai Yu
http://arxiv.org/abs/2103.07915v1
• [cs.CV]Towards Learning Food Portion From Monocular Images With Cross-Domain Feature Adaptation
Zeman Shao, Shaobo Fang, Runyu Mao, Jiangpeng He, Janine Wright, Deborah Kerr, Carol Jo Boushey, Fengqing Zhu
http://arxiv.org/abs/2103.07562v1
• [cs.CV]TransFG: A Transformer Architecture for Fine-grained Recognition
Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille
http://arxiv.org/abs/2103.07976v1
• [cs.CV]Trust Your IMU: Consequences of Ignoring the IMU Drift
Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck, Kalle Åström, Anders Heyden
http://arxiv.org/abs/2103.08286v1
• [cs.CV]Uncertainty-Based Biological Age Estimation of Brain MRI Scans
Karim Armanious, Sherif Abdulatif, Wenbin Shi, Tobias Hepp, Sergios Gatidis, Bin Yang
http://arxiv.org/abs/2103.08491v1
• [cs.CV]Unsupervised Image Transformation Learning via Generative Adversarial Networks
Kaiwen Zha, Yujun Shen, Bolei Zhou
http://arxiv.org/abs/2103.07751v1
• [cs.CV]Versailles-FP dataset: Wall Detection in Ancient
Wassim Swaileh, Dimitrios Kotzinos, Suman Ghosh, Michel Jordan, Son Vu, Yaguan Qian
http://arxiv.org/abs/2103.08064v1
• [cs.CV]WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training
Yuqi Huo, Manli Zhang, Guangzhen Liu, Haoyu Lu, Yizhao Gao, Guoxing Yang, Jingyuan Wen, Heng Zhang, Baogui Xu, Weihao Zheng, Zongzheng Xi, Yueqian Yang, Anwen Hu, Jinming Zhao, Ruichen Li, Yida Zhao, Liang Zhang, Yuqing Song, Xin Hong
62a, Wanqing Cui, Danyang Hou, Yingyan Li, Junyi Li, Peiyu Liu, Zheng Gong, Chuhao Jin, Yuchong Sun, Shizhe Chen, Zhiwu Lu, Zhicheng Dou, Qin Jin, Yanyan Lan, Wayne Xin Zhao, Ruihua Song, Ji-Rong Wen
http://arxiv.org/abs/2103.06561v2
• [cs.CV]uTHCD: A New Benchmarking for Tamil Handwritten OCR
Noushath Shaffi, Faizal Hajamohideen
http://arxiv.org/abs/2103.07676v1
• [cs.CY]UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level
Yao Yao, Linlong Li, Zhaotang Liang, Tao Cheng, Zhenhui Sun, Peng Luo, Qingfeng Guan, Yaqian Zhai, Shihao Kou, Yuyang Cai, Lefei Li, Xinyue Ye
http://arxiv.org/abs/2103.08538v1
• [cs.DB]iWarded: A System for Benchmarking Datalog+/- Reasoning (technical report)
Teodoro Baldazzi, Luigi Bellomarini, Emanuel Sallinger, Paolo Atzeni
http://arxiv.org/abs/2103.08588v1
• [cs.DC]A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators
Raveesh Garg, Eric Qin, Francisco Muñoz Martínez, Robert Guirado, Akshay Jain, Sergi Abadal, José L. Abellán, Manuel E. Acacio, Eduard Alarcón, Sivasankaran Rajamanickam, Tushar Krishna
http://arxiv.org/abs/2103.07977v1
• [cs.DC]CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner
Cheng Luo, Lei Qu, Youshan Miao, Peng Cheng, Yongqiang Xiong
http://arxiv.org/abs/2103.07974v1
• [cs.DC]Improving scalability and reliability of MPI-agnostic transparent checkpointing for production workloads at NERSC
Prashant Singh Chouhan, Harsh Khetawat, Neil Resnik, Twinkle Jain, Rohan Garg, Gene Cooperman, Rebecca Hartman-Baker, Zhengji Zhao
http://arxiv.org/abs/2103.08546v1
• [cs.DC]Megha: Decentralized Global Fair Scheduling for Federated Clusters
Meghana Thiyyakat, Subramaniam Kalambur, Dinkar Sitaram
http://arxiv.org/abs/2103.08413v1
• [cs.DC]On distributed algorithms for minimum dominating set problem and beyond
Sharareh Alipour, Mohammadhadi Salari
http://arxiv.org/abs/2103.08061v1
• [cs.DC]PACEMAKER: Avoiding HeART attacks in storage clusters with disk-adaptive redundancy
Saurabh Kadekodi, Francisco Maturana, Suhas Jayaram Subramanya, Juncheng Yang, K. V. Rashmi, Gregory R. Ganger
http://arxiv.org/abs/2103.08191v1
• [cs.DL]Do open citations inform the qualitative peer-review evaluation in research assessments? An analysis of the Italian National Scientific Qualification
Federica Bologna, Angelo Di Iorio, Silvio Peroni, Francesco Poggi
http://arxiv.org/abs/2103.07942v1
• [cs.HC]Automatically Lock Your Neural Networks When You’re Away
Ge Ren, Jun Wu, Gaolei Li, Shenghong Li
http://arxiv.org/abs/2103.08472v1
• [cs.HC]Crossing the Tepper Line: An Emerging Ontology for Describing the Dynamic Sociality of Embodied AI
Katie Seaborn, Peter Pennefather, Mihoko Otake-Matsuura
http://arxiv.org/abs/2103.08079v1
• [cs.IR]Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System
Shaina Raza andChen Ding
http://arxiv.org/abs/2103.08458v1
• [cs.IR]Fairness-aware Personalized Ranking Recommendation via Adversarial Learning
Ziwei Zhu, Jianling Wang, James Caverlee
http://arxiv.org/abs/2103.07849v1
• [cs.IR]Recommending Short-lived Dynamic Packages for Golf Booking Services
Robin Swezey, Young-joo Chung
http://arxiv.org/abs/2103.07779v1
• [cs.IR]TripClick: The Log Files of a Large Health Web Search Engine
Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff
http://arxiv.org/abs/2103.07901v1
• [cs.IT]An Application of the Virus Optimization Algorithm to the Problem of Finding Extremal Binary Self-Dual Codes
Adrian Korban, Serap Sahinkaya, Deniz Ustun
http://arxiv.org/abs/2103.07739v1
• [cs.IT]Bilinear Complexity of 3-Tensors Linked to Coding Theory
Eimear Byrne, Giuseppe Cotardo
http://arxiv.org/abs/2103.08544v1
• [cs.IT]Construction D’ Lattices for Power-Constrained Communications
Fan Zhou, Brian M. Kurkoski
http://arxiv.org/abs/2103.08263v1
• [cs.IT]Distribution Privacy Under Function Recoverability
Ajaykrishnan Nageswaran, Prakash Narayan
http://arxiv.org/abs/2103.08077v1
• [cs.IT]Ideal-theoretic Explanation of Capacity-achieving Decoding
Siddharth Bhandari, Prahladh Harsha, Mrinal Kumar, Madhu Sudan
http://arxiv.org/abs/2103.07930v1
• [cs.IT]Instantaneous SED coding over a DMC
Nian Guo, Victoria Kostina
http://arxiv.org/abs/2103.08112v1
• [cs.IT]Linear Network Error Correction Coding: A Revisit
Xuan Guang, Raymond W. Yeung
http://arxiv.org/abs/2103.08081v1
• [cs.IT]Multidimensional Generalized Quadrature Index Modulation for 5G Wireless Communications
Taissir Y. Elganimi, Khaled M. Rabie
http://arxiv.org/abs/2103.07563v1
• [cs.IT]On Bounds for Ring-Based Coding Theory
Niklas Gassner, Joachim Rosenthal, Marcus Greferath, Violetta Weger
http://arxiv.org/abs/2103.07749v1
• [cs.IT]On the list decodability of rank-metric codes containing Gabidulin codes
Paolo Santonastaso, Ferdinando Zullo
http://arxiv.org/abs/2103.07547v1
• [cs.IT]Performance Analysis of Dual-Hop Relaying for THz-RF Wireless Link with Asymmetrical Fading
Pranay Bhardwaj, S. M. Zafaruddin
http://arxiv.org/abs/2103.08188v1
• [cs.IT]Power Control in Spectrum Sharing Systems with Almost-Zero Inter-System Signaling Overhead
Mohammad Ghadir Khoshkholgh, Halim Yanikomeroglu
http://arxiv.org/abs/2103.08036v1
• [cs.IT]RSS-Based UAV-BS 3-D Mobility Management via Policy Gradient Deep Reinforcement Learning
Halim Yanikomeroglu
http://arxiv.org/abs/2103.08034v1
• [cs.IT]Resolution Limits of 20 Questions Search Strategies for Moving Targets
Lin Zhou, Alfred Hero
http://arxiv.org/abs/2103.08097v1
• [cs.IT]Sum-GDoF of Symmetric Multi-hop Interference Channel under Finite Precision CSIT using Aligned-Images Sumset Inequalities
Junge Wang, Syed Ali Jafar
http://arxiv.org/abs/2103.07830v1
• [cs.IT]TRUST: Triangle Counting Reloaded on GPUs
Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu
http://arxiv.org/abs/2103.08053v1
• [cs.IT]Tomlinson-Harashima Precoding with Stream Combiners for MU-MIMO with Rate-Splitting
A. Flores, R. C. de Lamare, B. Clerckx
http://arxiv.org/abs/2103.08009v1
• [cs.LG]A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training
Adnan Haider, Chao Zhang, Florian L. Kreyssig, Philip C. Woodland
http://arxiv.org/abs/2103.07554v1
• [cs.LG]A Scalable Gradient-Free Method for Bayesian Experimental Design with Implicit Models
Jiaxin Zhang, Sirui Bi, Guannan Zhang
http://arxiv.org/abs/2103.08026v1
• [cs.LG]A new interpretable unsupervised anomaly detection method based on residual explanation
David F. N. Oliveira, Lucio F. Vismari, Alexandre M. Nascimento, Jorge R. de Almeida Jr, Paulo S. Cugnasca, Joao B. Camargo Jr, Leandro Almeida, Rafael Gripp, Marcelo Neves
http://arxiv.org/abs/2103.07953v1
• [cs.LG]A review of machine learning in processing remote sensing data for mineral exploration
Hojat Shirmard, Ehsan Farahbakhsh, Dietmar Muller, Rohitash Chandra
http://arxiv.org/abs/2103.07678v1
• [cs.LG]Adversarial Training is Not Ready for Robot Learning
Mathias Lechner, Ramin Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger
http://arxiv.org/abs/2103.08187v1
• [cs.LG]Beyond #card=math&code=%5Clog%5E2%28T%29) Regret for Decentralized Bandits in Matching Markets
Soumya Basu, Karthik Abinav Sankararaman, Abishek Sankararaman
http://arxiv.org/abs/2103.07501v1
• [cs.LG]BreakingBED — Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks
Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
http://arxiv.org/abs/2103.08031v1
• [cs.LG]CACTUS: Detecting and Resolving Conflicts in Objective Functions
Subhajit Das, Alex Endert
http://arxiv.org/abs/2103.07805v1
• [cs.LG]Claim Verification using a Multi-GAN based Model
Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma
http://arxiv.org/abs/2103.08001v1
• [cs.LG]Conceptual capacity and effective complexity of neural networks
Lech Szymanski, Brendan McCane, Craig Atkinson
http://arxiv.org/abs/2103.07614v1
• [cs.LG]Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy
Bronya Roni Chernyak, Bhiksha Raj, Tamir Hazan, Joseph Keshet
http://arxiv.org/abs/2103.08265v1
• [cs.LG]Continual Learning for Recurrent Neural Networks: a Review and Empirical Evaluation
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
http://arxiv.org/abs/2103.07492v1
• [cs.LG]DIPPA: An improved Method for Bilinear Saddle Point Problems
Guangzeng Xie, Yuze Han, Zhihua Zhang
http://arxiv.org/abs/2103.08270v1
• [cs.LG]Deep Neural Network Based Ensemble learning Algorithms for the healthcare system (diagnosis of chronic diseases)
Jafar Abdollahi, Babak Nouri-Moghaddam, Mehdi Ghazanfari
http://arxiv.org/abs/2103.08182v1
• [cs.LG]Distributed Learning and Democratic Embeddings: Polynomial-Time Source Coding Schemes Can Achieve Minimax Lower Bounds for Distributed Gradient Descent under Communication Constraints
Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
http://arxiv.org/abs/2103.07578v1
• [cs.LG]Efficient Intrusion Detection Using Evidence Theory
Islam Debicha, Thibault Debatty, Wim Mees, Jean-Michel Dricot
http://arxiv.org/abs/2103.08585v1
• [cs.LG]Efficient Sparse Artificial Neural Networks
Seyed Majid Naji, Azra Abtahi, Farokh Marvasti
http://arxiv.org/abs/2103.07674v1
• [cs.LG]Ensemble Learning with Manifold-Based Data Splitting for Noisy Label Correction
Hao-Chiang Shao, Hsin-Chieh Wang, Weng-Tai Su, Chia-Wen Lin
http://arxiv.org/abs/2103.07641v1
• [cs.LG]Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts
Ayoub El Qadi, Natalia Diaz-Rodriguez, Maria Trocan, Thomas Frossard
http://arxiv.org/abs/2103.08359v1
• [cs.LG]Feature selection for medical diagnosis: Evaluation for using a hybrid Stacked-Genetic approach in the diagnosis of heart disease
Jafar Abdollahi, Babak Nouri-Moghaddam
http://arxiv.org/abs/2103.08175v1
• [cs.LG]Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems
Robin Henry, Damien Ernst
http://arxiv.org/abs/2103.07932v1
• [cs.LG]How Many Data Points is a Prompt Worth?
Teven Le Scao, Alexander M. Rush
http://arxiv.org/abs/2103.08493v1
• [cs.LG]How to distribute data across tasks for meta-learning?
Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Da-shan Shiu, Alberto Bernacchia
http://arxiv.org/abs/2103.08463v1
• [cs.LG]Hybrid computer approach to train a machine learning system
Mirko Holzer, Bernd Ulmann
http://arxiv.org/abs/2103.07802v1
• [cs.LG]Hybrid stacked ensemble combined with genetic algorithms for Prediction of Diabetes
Jafar Abdollahi, Babak Nouri-Moghaddam
http://arxiv.org/abs/2103.08186v1
• [cs.LG]Internal Wasserstein Distance for Adversarial Attack and Defense
Jincheng Li, Jiezhang Cao, Shuhai Zhang, Yanwu Xu, Jian Chen, Mingkui Tan
http://arxiv.org/abs/2103.07598v1
• [cs.LG]Learning Defense Transformers for Counterattacking Adversarial Examples
Jincheng Li, Jiezhang Cao, Yifan Zhang, Jian Chen, Mingkui Tan
http://arxiv.org/abs/2103.07595v1
• [cs.LG]Learning One Representation to Optimize All Rewards
Ahmed Touati, Yann Ollivier
http://arxiv.org/abs/2103.07945v1
• [cs.LG]Learning with Feature Dependent Label Noise: a Progressive Approach
Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen
http://arxiv.org/abs/2103.07756v1
• [cs.LG]Mean Field Game GAN
Shaojun Ma, Haomin Zhou, Hongyuan Zha
http://arxiv.org/abs/2103.07855v1
• [cs.LG]Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Xuyun Zhang
http://arxiv.org/abs/2103.07853v1
• [cs.LG]Meta-Solver for Neural Ordinary Differential Equations
Julia Gusak, Alexandr Katrutsa, Talgat Daulbaev, Andrzej Cichocki, Ivan Oseledets
http://arxiv.org/abs/2103.08561v1
• [cs.LG]Modeling and forecasting Spread of COVID-19 epidemic in Iran until Sep 22, 2021, based on deep learning
Jafar Abdollahi, Amir Jalili Irani, Babak Nouri-Moghaddam
http://arxiv.org/abs/2103.08178v1
• [cs.LG]Mutual Information State Intrinsic Control
Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
http://arxiv.org/abs/2103.08107v1
• [cs.LG]Neural Networks and Denotation
Eric E. Allen
http://arxiv.org/abs/2103.08315v1
• [cs.LG]Offline Reinforcement Learning with Fisher Divergence Critic Regularization
Ilya Kostrikov, Jonathan Tompson, Rob Fergus, Ofir Nachum
http://arxiv.org/abs/2103.08050v1
• [cs.LG]Pre-interpolation loss behaviour in neural networks
Arthur E. W. Venter, Marthinus W. Theunissen, Marelie H. Davel
http://arxiv.org/abs/2103.07986v1
• [cs.LG]Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised Learning
Kwanghee Choi, Minyoung Choe, Hyelee Lee
http://arxiv.org/abs/2103.08157v1
• [cs.LG]Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
http://arxiv.org/abs/2103.07567v1
• [cs.LG]Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions
Pallika Kanani, Virendra J. Marathe, Daniel Peterson, Rave Harpaz, Steve Bright
http://arxiv.org/abs/2103.07491v1
• [cs.LG]RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier
http://arxiv.org/abs/2103.08057v1
• [cs.LG]Reinforcement Learning with Algorithms from Probabilistic Structure Estimation
Jonathan P. Epperlein, Roman Overko, Sergiy Zhuk, Christopher King, Djallel Bouneffouf, Andrew Cullen, Robert Shorten
http://arxiv.org/abs/2103.08241v1
• [cs.LG]Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning
Thanh Nguyen, Tung Luu, Trung Pham, Sanzhar Rakhimkul, Chang D. Yoo
http://arxiv.org/abs/2103.08233v1
• [cs.LG]Robust Model Compression Using Deep Hypotheses
Omri Armstrong, Ran Gilad-Bachrach
http://arxiv.org/abs/2103.07668v1
• [cs.LG]SMOTE-ENC: A novel SMOTE-based method to generate synthetic data for nominal and continuous features
Mimi Mukherjee, Matloob Khushi
http://arxiv.org/abs/2103.07612v1
• [cs.LG]Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
Thanh Nguyen, Tung M. Luu, Thang Vu, Chang D. Yoo
http://arxiv.org/abs/2103.08255v1
• [cs.LG]Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise
Jannik Schmitt, Stefan Roth
http://arxiv.org/abs/2103.08497v1
• [cs.LG]Semi-supervised learning by selective training with pseudo labels via confidence estimation
Masato Ishii
http://arxiv.org/abs/2103.08193v1
• [cs.LG]Simeon — Secure Federated Machine Learning Through Iterative Filtering
Nicholas Malecki, Hye-young Paik, Aleksandar Ignjatovic, Alan Blair, Elisa Bertino
http://arxiv.org/abs/2103.07704v1
• [cs.LG]Solving Compositional Reinforcement Learning Problems via Task Reduction
Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu
http://arxiv.org/abs/2103.07607v1
• [cs.LG]Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Conguri Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang
http://arxiv.org/abs/2103.07719v1
• [cs.LG]Student-Teacher Learning from Clean Inputs to Noisy Inputs
Guanzhe Hong, Zhiyuan Mao, Xiaojun Lin, Stanley H. Chan
http://arxiv.org/abs/2103.07600v1
• [cs.LG]Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification
Youngwoo Kim, Cheng Li, Bingyang Ye, Amir Tahmasebi, Javed Aslam
http://arxiv.org/abs/2103.07808v1
• [cs.LG]TinyOL: TinyML with Online-Learning on Microcontrollers
Haoyu Ren, Darko Anicic, Thomas Runkler
http://arxiv.org/abs/2103.08295v1
• [cs.LG]Treatment Effect Estimation using Invariant Risk Minimization
Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush Varshney, Amit Dhurandhar
http://arxiv.org/abs/2103.07788v1
• [cs.LG]Understanding invariance via feedforward inversion of discriminatively trained classifiers
Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer
http://arxiv.org/abs/2103.07470v1
• [cs.LG]VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Lizhen Nie, Mao Ye, Qiang Liu, Dan Nicolae
http://arxiv.org/abs/2103.07861v1
• [cs.LG]Visualizing Data Velocity using DSNE
Songting Shi
http://arxiv.org/abs/2103.08509v1
• [cs.MA]Quasi-Equivalence Discovery for Zero-Shot Emergent Communication
Kalesha Bullard, Douwe Kiela, Joelle Pineau, Jakob Foerster
http://arxiv.org/abs/2103.08067v1
• [cs.MM]Multi-view data capture for dynamic object reconstruction using handheld augmented reality mobiles
M. Bortolon, L. Bazzanella, F. Poiesi
http://arxiv.org/abs/2103.07883v1
• [cs.NE]Increased Complexity and Fitness of Artificial Cells that Reproduce Using Spatially Distributed Asynchronous Parallel Processes
Lance R. Williams
http://arxiv.org/abs/2103.08406v1
• [cs.NE]Probabilistic Grammatical Evolution
Jessica Mégane, Nuno Lourenço, Penousal Machado
http://arxiv.org/abs/2103.08389v1
• [cs.RO]A Continuous-Time Approach for 3D Radar-to-Camera Extrinsic Calibration
Emmett Wise, Juraj Peršić, Christopher Grebe, Ivan Petrović, Jonathan Kelly
http://arxiv.org/abs/2103.07505v1
• [cs.RO]A Normal Distribution Transform-Based Radar Odometry Designed For Scanning and Automotive Radars
Pou-Chun Kung, Chieh-Chih Wang, Wen-Chieh Lin
http://arxiv.org/abs/2103.07908v1
• [cs.RO]AIR4Children: Artificial Intelligence and Robotics for Children
Rocio Montenegro, Elva Corona, Donato Badillo-Perez, Angel Mandujano, Leticia Vazquez, Dago Cruz, Miguel Xochicale
http://arxiv.org/abs/2103.07637v1
• [cs.RO]Cloth Manipulation Planning on Basis of Mesh Representations with Incomplete Domain Knowledge and Voxel-to-Mesh Estimation
Solvi Arnold, Daisuke Tanaka, Kimitoshi Yamazaki
http://arxiv.org/abs/2103.08137v1
• [cs.RO]Design of a vision based range bearing and heading system for robot swarms
Hamid Majidi Balanji, Emre Yilmaz, Omer Cakmak, Ali Emre Turgut
http://arxiv.org/abs/2103.08003v1
• [cs.RO]Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments
Visak Kumar, Sehoon Ha, C. Karen Liu
http://arxiv.org/abs/2103.07732v1
• [cs.RO]Exploratory evaluation of politeness in human-robot interaction
Shikhar Kumar, Eliran Itzhak, Samuel Olatunji, Vardit Sarne-Fleischmann, Noam Tractinsky, Galit Nimrod, Yael Edan
http://arxiv.org/abs/2103.08441v1
• [cs.RO]Extrinsic Contact Sensing with Relative-Motion Tracking from Distributed Tactile Measurements
Daolin Ma, Siyuan Dong, Alberto Rodriguez
http://arxiv.org/abs/2103.08108v1
• [cs.RO]Feedback modalities for a table setting robot assistant for elder care
Noa Markfeld, Samuel Olatunji, Dana Gutman, Shay Givati, Vardit Sarne-Fleischmann, Yael Edan
http://arxiv.org/abs/2103.08428v1
• [cs.RO]GVINS: Tightly Coupled GNSS-Visual-Inertial for Smooth and Consistent State Estimation
Shaozu Cao, Xiuyuan Lu, Shaojie Shen
http://arxiv.org/abs/2103.07899v1
• [cs.RO]Gathering of seven autonomous mobile robots on triangular grids
Masahiro Shibata, Masaki Ohyabu, Yuichi Sudo, Junya Nakamura, Yonghwan Kim, Yoshiaki Katayama
http://arxiv.org/abs/2103.08172v1
• [cs.RO]Gradient Policy on “CartPole” game and its’ expansibility to F1Tenth Autonomous Vehicles
Mingwei Shi
http://arxiv.org/abs/2103.08396v1
• [cs.RO]HOPPY: An Open-source Kit for Education with Dynamic Legged Robots
Joao Ramos, Yanran Ding, Young-woo Sim, Kevin Murphy, Daniel Block
http://arxiv.org/abs/2103.08433v1
• [cs.RO]Learning needle insertion from sample task executions
Amir Ghalamzan-E
http://arxiv.org/abs/2103.07938v1
• [cs.RO]Learning robust driving policies without online exploration
Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin, Jun Luo
http://arxiv.org/abs/2103.08070v1
• [cs.RO]MBAPose: Mask and Bounding-Box Aware Pose Estimation of Surgical Instruments with Photorealistic Domain Randomization
Masakazu Yoshimura, Murilo Marques Marinho, Kanako Harada, Mamoru Mitsuishi
http://arxiv.org/abs/2103.08105v1
• [cs.RO]Mean Field Behaviour of Collaborative Multi-Agent Foragers
Daniel Jarne Ornia, Pedro J Zufiria, Manuel Mazo Jr
http://arxiv.org/abs/2103.07714v1
• [cs.RO]Meta Preference Learning for Fast User Adaptation in Human-Supervisory Multi-Robot Deployments
Chao Huang, Wenhao Luo, Rui Liu
http://arxiv.org/abs/2103.08008v1
• [cs.RO]Meta-Modeling of Assembly Contingencies and Planning for Repair
Priyam Parashar, Aayush Naik, Jiaming Hu, Henrik I. Christensen
http://arxiv.org/abs/2103.07544v1
• [cs.RO]Modelling Human Kinetics and Kinematics during Walking using Reinforcement Learning
Visak Kumar
http://arxiv.org/abs/2103.08125v1
• [cs.RO]Multi-Object Tracking using Poisson Multi-Bernoulli Mixture Filtering for Autonomous Vehicles
Su Pang, Hayder Radha
http://arxiv.org/abs/2103.07783v1
• [cs.RO]Neural Motion Prediction for In-flight Uneven Object Catching
Hongxiang Yu, Dashun Guo, Huan Yin, Anzhe Chen, Kechun Xu, Yue Wang, Rong Xiong
http://arxiv.org/abs/2103.08368v1
• [cs.RO]Online Learning of Objects through Curiosity-Driven Active Learning
Ali Ayub, Alan R. Wagner
http://arxiv.org/abs/2103.07758v1
• [cs.RO]Personalized Human-Swarm Interaction through Hand Motion
Matteo Macchini, Ludovic De Matteïs, Fabrizio Schiano, Dario Floreano
http://arxiv.org/abs/2103.07731v1
• [cs.RO]RLSS: Real-time Multi-Robot Trajectory Replanning using Linear Spatial Separations
Baskın Şenbaşlar, Wolfgang Hönig, Nora Ayanian
http://arxiv.org/abs/2103.07588v1
• [cs.RO]Repairing Human Trust by Promptly Correcting Robot Mistakes with An Attention Transfer Model
Ruijiao Luo, Chao Huang, Yuntao Peng, Boyi Song, Rui Liu
http://arxiv.org/abs/2103.08025v1
• [cs.RO]Safe Sampling-Based Air-Ground Rendezvous Algorithm for Complex Urban Environments
Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan
http://arxiv.org/abs/2103.07519v1
• [cs.RO]Shape-induced obstacle attraction and repulsion during dynamic locomotion
Yuanfeng Han, Ratan Othayoth, Yulong Wang, Chun-Cheng Hsu, Rafael de la Tijera Obert, Evains Francois, Chen Li
http://arxiv.org/abs/2103.08176v1
• [cs.RO]Slip-Based Autonomous ZUPT through Gaussian Process to Improve Planetary Rover Localization
Cagri Kilic, Nicholas Ohi, Yu Gu, Jason N. Gross
http://arxiv.org/abs/2103.07587v1
• [cs.RO]Success Weighted by Completion Time: A Dynamics-Aware Evaluation Criteria for Embodied Navigation
Naoki Yokoyama, Sehoon Ha, Dhruv Batra
http://arxiv.org/abs/2103.08022v1
• [cs.RO]Vision based range and bearing algorithm for robot swarms
Hamid Majidi Balanji, Ali Emre Turgut
http://arxiv.org/abs/2103.08006v1
• [cs.SD]DHASP: Differentiable Hearing Aid Speech Processing
Zehai Tu, Ning Ma, Jon Barker
http://arxiv.org/abs/2103.08569v1
• [cs.SD]Embedding Calibration for Music Semantic Similarity using Auto-regressive Transformer
Xinran Zhang, Maosong Sun, Jiafeng Liu, Xiaobing Li
http://arxiv.org/abs/2103.07656v1
• [cs.SD]Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems
Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich
http://arxiv.org/abs/2103.08086v1
• [cs.SD]Towards Robust Speech-to-Text Adversarial Attack
Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich
http://arxiv.org/abs/2103.08095v1
• [cs.SE]Developing an Underwater Network of Ocean Observation Systems with Digital Twin Prototypes — A Field Report from the Baltic Sea
Alexander Barbie, Niklas Pech, Wilhelm Hasselbring, Sascha Flögel, Frank Wenzhöfer, Michael Walter, Elena Shchekinova, Marc Busse, Matthias Türk, Michael Hofbauer, Stefan Sommer
http://arxiv.org/abs/2103.08469v1
• [cs.SE]EnHMM: On the Use of Ensemble HMMs and Stack Traces to Predict the Reassignment of Bug Report Fields
Md Shariful Islam, Abdelwahab Hamou-Lhadj, Korosh K. Sabor, Mohammad Hamdaqa, Haipeng Cai
http://arxiv.org/abs/2103.08083v1
• [cs.SE]Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting
Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li, Rongxin Wu
http://arxiv.org/abs/2103.07845v1
• [cs.SE]Software Architecture for ML-based Systems: What Exists and What Lies Ahead
Henry Muccini, Karthik Vaidhyanathan
http://arxiv.org/abs/2103.07950v1
• [cs.SI]A comparison of common behavioral observation software applications and recommendations for use
Annemarie van der Marel, Claire L. O’Connell, Sanjay Prasher, Chelsea Carminito, Xavier Francis, Elizabeth A. Hobson
http://arxiv.org/abs/2103.07576v1
• [cs.SI]Derivation and Characteristics of Closed-Form Solutions of the Fundamental Equations for Online User Dynamics
T. Ikeya, Masaki Aida
http://arxiv.org/abs/2103.08518v1
• [cs.SI]Regional economic integration via detection of circular flow in international value-added network
Sotaro Sada, Yuichi Ikeda
http://arxiv.org/abs/2103.08179v1
• [cs.SI]Understanding User Topic Preferences across Multiple Social Networks
Ziqing Zhu, Jiuxin Cao, Tao Zhou, Bo Liu
http://arxiv.org/abs/2103.07654v1
• [econ.EM]Estimating the Long-Term Effects of Novel Treatments
Keith Battocchi, Eleanor Dillon, Maggie Hei, Greg Lewis, Miruna Oprescu, Vasilis Syrgkanis
http://arxiv.org/abs/2103.08390v1
• [econ.GN]Territorial differences in the spread of COVID-19 in European regions and US counties
Fabrizio Natale, Stefano Maria Iacus, Alessandra Conte, Spyridon Spyratos, Francesco Sermi
http://arxiv.org/abs/2103.08321v1
• [eess.AS]XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition
Zi-Qiang Zhang, Yan Song, Ming-Hui Wu, Xin Fang, Li-Rong Dai
http://arxiv.org/abs/2103.08207v1
• [eess.IV]COVID-19 Infection Localization and Severity Grading from Chest X-ray Images
Anas M. Tahir, Muhammad E. H. Chowdhury, Amith Khandakar, Tawsifur Rahman, Yazan Qiblawey, Uzair Khurshid, Serkan Kiranyaz, Nabil Ibtehaz, M Shohel Rahman, Somaya Al-Madeed, Khaled Hameed, Tahir Hamid, Sakib Mahmud, Maymouna Ezeddin
http://arxiv.org/abs/2103.07985v1
• [eess.IV]DiaRet: A browser-based application for the grading of Diabetic Retinopathy with Integrated Gradients
Shaswat Patel, Maithili Lohakare, Samyak Prajapati, Shaanya Singh, Nancy Patel
http://arxiv.org/abs/2103.08501v1
• [eess.IV]Early Prediction and Diagnosis of Retinoblastoma Using Deep Learning Techniques
C. Anand Deva Durai, T Jemima Jebaseeli, Salem Alelyani, Azath Mubharakali
http://arxiv.org/abs/2103.07622v1
• [eess.IV]Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks
Jingshuai Liu, Mehrdad Yaghoobi
http://arxiv.org/abs/2103.07672v1
• [eess.IV]Learning Frequency-aware Dynamic Network for Efficient Super-Resolution
Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang
http://arxiv.org/abs/2103.08357v1
• [eess.IV]Mining Artifacts in Mycelium SEM Micrographs
Thaicia Stona de Almeida
http://arxiv.org/abs/2103.07573v1
• [eess.IV]Progressive residual learning for single image dehazing
Yudong Liang, Bin Wang, Jiaying Liu, Deyu Li, Yuhua Qian, Wenqi Ren
http://arxiv.org/abs/2103.07973v1
• [eess.IV]The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion
Meiyu Huang, Yao Xu, Lixin Qian, Weili Shi, Yaqin Zhang, Wei Bao, Nan Wang, Xuejiao Liu, Xueshuang Xiang
http://arxiv.org/abs/2103.08259v1
• [eess.IV]Untrained networks for compressive lensless photography
Kristina Monakhova, Vi Tran, Grace Kuo, Laura Waller
http://arxiv.org/abs/2103.07609v1
• [eess.IV]VMAF And Variants: Towards A Unified VQA
Pankaj Topiwala, Wei Dai, Jiangfeng Pian
http://arxiv.org/abs/2103.07770v1
• [eess.IV]Which K-Space Sampling Schemes is good for Motion Artifact Detection in Magnetic Resonance Imaging?
Mohammad Reza Mohebbian, Ekta Walia, Khan A. Wahid
http://arxiv.org/abs/2103.08516v1
• [eess.SP]Rate-Splitting Multiple Access for Multi-Antenna Joint Radar and Communications
Chengcheng Xu, Bruno Clerckx, Shiwa Chen, Yijie Mao, Jianyun Zhang
http://arxiv.org/abs/2103.07914v1
• [eess.SP]Reconfigurable Intelligent Surface-Assisted Ambient Backscatter Communications — Experimental Assessment
Romain Fara, Dinh-Thuy Phan-Huy, Philippe Ratajczak, Abdelwaheb Ourir, Marco Di Renzo, Julien de Rosny
http://arxiv.org/abs/2103.08427v1
• [eess.SP]Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks
Juntong Liu, Yong Xiao, Yingyu Li, Guangming Shiyz, Walid Saad, H. Vincent Poor
http://arxiv.org/abs/2103.07636v1
• [eess.SY]RL-Controller: a reinforcement learning framework for active structural control
Soheila Sadeghi Eshkevari, Soheil Sadeghi Eshkevari, Debarshi Sen, Shamim N. Pakzad
http://arxiv.org/abs/2103.07616v1
• [math.DS]Nonequilibrium in Thermodynamic Formalism: the Second Law, gases and Information Geometry
Artur O. Lopes, R. Ruggiero
http://arxiv.org/abs/2103.08333v1
• [math.OC]A machine learning approach to itinerary-level booking prediction in competitive airline markets
Daniel Hopman, Ger Koole, Rob van der Mei
http://arxiv.org/abs/2103.08405v1
• [math.OC]Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach
Miguel Simões, Andreas Themelis, Panagiotis Patrinos
http://arxiv.org/abs/2103.08533v1
• [math.OC]Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction
Yuze Han, Guangzeng Xie, Zhihua Zhang
http://arxiv.org/abs/2103.08280v1
• [math.OC]On Incorporating Forecasts into Linear State Space Model Markov Decision Processes
Jacques A. de Chalendar, Peter W. Glynn
http://arxiv.org/abs/2103.07533v1
• [math.OC]Transient growth of accelerated first-order methods for strongly convex optimization problems
Hesameddin Mohammadi, Samantha Samuelson, Mihailo R. Jovanović
http://arxiv.org/abs/2103.08017v1
• [math.OC]Use of static surrogates in hyperparameter optimization
Dounia Lakhmiri, Sébastien Le Digabel
http://arxiv.org/abs/2103.07963v1
• [math.PR]Weighted mean inactivity time function with applications
Antonio Di Crescenzo, Abdolsaeed Toomaj
http://arxiv.org/abs/2103.07682v1
• [math.ST]Adaptive posterior convergence in sparse high dimensional clipped generalized linear models
Biraj Subhra Guha, Debdeep Pati
http://arxiv.org/abs/2103.08092v1
• [math.ST]Bias Reduction in Sample-Based Optimization
Darinka Dentcheva, Yang Lin
http://arxiv.org/abs/2103.07553v1
• [math.ST]Cluster based inference for extremes of time series
Holger Drees, Anja Janßen, Sebastian Neblung
http://arxiv.org/abs/2103.08512v1
• [math.ST]Extreme value analysis for mixture models with heavy-tailed impurity
Panov, Vladimir, Morozova, Ekaterina
http://arxiv.org/abs/2103.07689v1
• [math.ST]On statistical estimation and inferences in optional regression models
Mohamed Abdelghani, Alexander Melnikov, Andrey Pak
http://arxiv.org/abs/2103.08148v1
• [math.ST]Renyi Entropy of Multivariate Autoregressive Moving Average Control Systems
Salah Hamza Abid, Uday J. Quaez
http://arxiv.org/abs/2103.07608v1
• [nlin.AO]Emergence of self-reproducing metabolisms as recursive algorithms in an Artificial Chemistry
Germán Kruszewski, Tomas Mikolov
http://arxiv.org/abs/2103.08245v1
• [physics.bio-ph]Network community structure and resilience to localized damage: application to brain microcirculation
Florian Goirand, Bertrand Georgeot, Olivier Giraud, Sylvie Lorthois
http://arxiv.org/abs/2103.08587v1
• [physics.chem-ph]Toward Machine Learned Highly Reduce Kinetic Models For Methane/Air Combustion
Mark Kelly, Stephen Dooley, Gilles Bourque
http://arxiv.org/abs/2103.08377v1
• [physics.comp-ph]A Modified Batch Intrinsic Plasticity Method for Pre-training the Random Coefficients of Extreme Learning Machines
Suchuan Dong, Zongwei Li
http://arxiv.org/abs/2103.08042v1
• [physics.data-an]Pandemonium: a clustering tool to partition parameter space — application to the B anomalies
Ursula Laa, German Valencia
http://arxiv.org/abs/2103.07937v1
• [physics.flu-dyn]State-space aerodynamic model reveals high force control authority and predictability in flapping flight
Yagiz E. Bayiz, Bo Cheng
http://arxiv.org/abs/2103.07994v1
• [physics.soc-ph]A Study on the Effects of Diffusion of Information on Epidemic Spread
Semra Gunduc
http://arxiv.org/abs/2103.07687v1
• [physics.soc-ph]Diffusion of Innovation In Competitive Markets-A Study on the Global Smartphone Diffusion
Semra Gunduc
http://arxiv.org/abs/2103.07707v1
• [physics.soc-ph]The Effect of Social Media on Shaping Individuals Opinion Formation
Semra Gunduc
http://arxiv.org/abs/2103.07695v1
• [physics.soc-ph]The Effects of Diffusion of Information on Epidemic Spread — A Multilayer Approach
Semra Gunduc
http://arxiv.org/abs/2103.07713v1
• [q-bio.MN]SEMgraph: An R Package for Causal Network Analysis of High-Throughput Data with Structural Equation Models
Fernando Palluzzi, Mario Grassi
http://arxiv.org/abs/2103.08332v1
• [q-bio.NC]Constrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks
Oleg Nikitin, Olga Lukyanova, Alex Kunin
http://arxiv.org/abs/2103.08143v1
• [q-bio.QM]I-Nema: A Biological Image Dataset for Nematode Recognition
Xuequan Lu, Yihao Wang, Sheldon Fung, Xue Qing
http://arxiv.org/abs/2103.08335v1
• [quant-ph]Diagrammatic Differentiation for Quantum Machine Learning
Alexis Toumi, Richie Yeung, Giovanni de Felice
http://arxiv.org/abs/2103.07960v1
• [quant-ph]On entanglement assistance to a noiseless classical channel
Péter E. Frenkel, Mihály Weiner
http://arxiv.org/abs/2103.08567v1
• [quant-ph]Quantum Private Distributed Learning Through Blind Quantum Computing
Weikang Li, Sirui Lu, Dong-Ling Deng
http://arxiv.org/abs/2103.08403v1
• [quant-ph]Toward a Union-Find decoder for quantum LDPC codes
Nicolas Delfosse, Vivien Londe, Michael Beverland
http://arxiv.org/abs/2103.08049v1
• [stat.AP]A Simulation Study Evaluating Phase I Clinical Trial Designs for Combinational Agents
Shu Wang, Ji-Hyun Lee
http://arxiv.org/abs/2103.07746v1
• [stat.AP]Closed testing procedures for treatment-versus-control comparisons and multiple correlated endpoint
Ludwig A. Hothorn, Siegfried Kropf
http://arxiv.org/abs/2103.07661v1
• [stat.AP]Evaluating distributional regression strategies for modelling self-reported sexual age-mixing
Timothy M Wolock, Seth R Flaxman, Kathryn A Risher, Tawanda Dadirai, Simon Gregson, Jeffrey W Eaton
http://arxiv.org/abs/2103.08341v1
• [stat.AP]Modeling Longitudinal Dynamics of Comorbidities
Basil Maag, Stefan Feuerriegel, Mathias Kraus, Maytal Saar-Tsechansky, Thomas Züger
http://arxiv.org/abs/2103.08055v1
• [stat.AP]Modeling Multivariate Cyber Risks: Deep Learning Dating Extreme Value Theory
Mingyue Zhang Wu, Jinzhu Luo, Xing Fang, Maochao Xu, Peng Zhao
http://arxiv.org/abs/2103.08450v1
• [stat.AP]Statistical inference for ARTFIMA time series with stable innovations
Jinu Kabala, Farzad Sabzikar
http://arxiv.org/abs/2103.07717v1
• [stat.ME]A two-way factor model for high-dimensional matrix data
Gao Zhigen, Yuan Chaofeng, Jing Bingyi, Huwang Wei, Guo Jianhua
http://arxiv.org/abs/2103.07920v1
• [stat.ME]Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions
Shunsuke Horii
http://arxiv.org/abs/2103.08195v1
• [stat.ME]Multivariate Count Time Series Modelling
Konstantinos Fokianos
http://arxiv.org/abs/2103.08028v1
• [stat.ME]Quantifying uncertainty in spikes estimated from calcium imaging data
Yiqun T. Chen, Sean W. Jewell, Daniela M. Witten
http://arxiv.org/abs/2103.07818v1
• [stat.ME]Single-stage, three-arm, adaptive test strategies for non-inferiority trials with an unstable reference
Werner Brannath, Martin Scharpenberg, Sylvia Schmidt
http://arxiv.org/abs/2103.07680v1
• [stat.ME]Sparse Functional Boxplots for Multivariate Curves
Zhuo Qu, Marc G. Genton
http://arxiv.org/abs/2103.07868v1
• [stat.ME]Testing for the Network Small-World Property
Kartik Lovekar, Srijan Sengupta, Subhadeep Paul
http://arxiv.org/abs/2103.08035v1
• [stat.ME]Valid sequential inference on probability forecast performance
Alexander Henzi, Johanna F. Ziegel
http://arxiv.org/abs/2103.08402v1
• [stat.ML]Causal Markov Boundaries
Sofia Triantafillou, Fattaneh Jabbari, Greg Cooper
http://arxiv.org/abs/2103.07560v1
• [stat.ML]Forecasting reconciliation with a top-down alignment of independent level forecasts
Matthias Anderer, Feng Li
http://arxiv.org/abs/2103.08250v1
• [stat.ML]Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data
Yu-Chia Chen, Marina Meilă, Ioannis G. Kevrekidis
http://arxiv.org/abs/2103.07626v1
• [stat.ML]Representation Theorem for Matrix Product States
Erdong Guo, David Draper
http://arxiv.org/abs/2103.08277v1
• [stat.ML]Von Mises-Fisher Elliptical Distribution
Shengxi Li, Danilo Mandic
http://arxiv.org/abs/2103.07948v1
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