cond-mat.mtrl-sci - 材料科学
cs.AI - 人工智能
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
cs.GT - 计算机科学与博弈论
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MM - 多媒体
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.CO - 组合数学
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
q-bio.GN - 基因组学
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
• [cond-mat.mtrl-sci]Complex Spin Hamiltonian Represented by Artificial Neural Network
• [cs.AI]A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances
• [cs.AI]A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks
• [cs.AI]An Unsupervised Video Game Playstyle Metric via State Discretization
• [cs.AI]Artificial intelligence for Sustainable Energy: A Contextual Topic Modeling and Content Analysis
• [cs.AI]Benchmarking Safety Monitors for Image Classifiers with Machine Learning
• [cs.AI]Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values
• [cs.AI]Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing
• [cs.AI]Induction, Popper, and machine learning
• [cs.AI]Learning to Assist Agents by Observing Them
• [cs.AI]Trustworthy AI: From Principles to Practices
• [cs.AI]What is understandable in Bayesian network explanations?
• [cs.CL]A Aelf-supervised Tibetan-chinese Vocabulary Alignment Method Based On Adversarial Learning
• [cs.CL]A Case Study to Reveal if an Area of Interest has a Trend in Ongoing Tweets Using Word and Sentence Embeddings
• [cs.CL]A Comparative Study of Sentiment Analysis Using NLP and Different Machine Learning Techniques on US Airline Twitter Data
• [cs.CL]A Novel Metric for Evaluating Semantics Preservation
• [cs.CL]Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models
• [cs.CL]Aspect Sentiment Quad Prediction as Paraphrase Generation
• [cs.CL]Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences
• [cs.CL]DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models
• [cs.CL]Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
• [cs.CL]Improving Zero-shot Multilingual Neural Machine Translation for Low-Resource Languages
• [cs.CL]Investigating Robustness of Dialog Models to Popular Figurative Language Constructs
• [cs.CL]Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding
• [cs.CL]JuriBERT: A Masked-Language Model Adaptation for French Legal Text
• [cs.CL]LawSum: A weakly supervised approach for Indian Legal Document Summarization
• [cs.CL]Leveraging Information Bottleneck for Scientific Document Summarization
• [cs.CL]LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
• [cs.CL]Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning
• [cs.CL]Minimizing LR(1) State Machines is NP-Hard
• [cs.CL]Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset
• [cs.CL]Perhaps PTLMs Should Go to School — A Task to Assess Open Book and Closed Book QA
• [cs.CL]Probing Language Models for Understanding of Temporal Expressions
• [cs.CL]Project Debater APIs: Decomposing the AI Grand Challenge
• [cs.CL]Protagonists’ Tagger in Literary Domain — New Datasets and a Method for Person Entity Linkage
• [cs.CL]SPaR.txt, a cheap Shallow Parsing approach for Regulatory texts
• [cs.CL]Sentiment and structure in word co-occurrence networks on Twitter
• [cs.CL]Simplify Your Law: Using Information Theory to Deduplicate Legal Documents
• [cs.CL]Structured abbreviation expansion in context
• [cs.CL]Subtractive mountain clustering algorithm applied to a chatbot to assist elderly people in medication intake
• [cs.CL]Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark
• [cs.CL]TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts
• [cs.CL]The state-of-the-art in text-based automatic personality prediction
• [cs.CL]TopiOCQA: Open-domain Conversational Question Answeringwith Topic Switching
• [cs.CL]Towards Theme Detection in Personal Finance Questions
• [cs.CL]Towards Understanding Persuasion in Computational Argumentation
• [cs.CL]Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams
• [cs.CR]A New Approach for Image Authentication Framework for Media Forensics Purpose
• [cs.CR]AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference
• [cs.CR]Automating Privilege Escalation with Deep Reinforcement Learning
• [cs.CR]One-Bit Matrix Completion with Differential Privacy
• [cs.CR]SecFL: Confidential Federated Learning using TEEs
• [cs.CR]Towards General-purpose Infrastructure for Protecting Scientific Data Under Study
• [cs.CR]Virtual Private Mobile Network with Multiple Gateways for B5G Location Privacy
• [cs.CV]3d sequential image mosaicing for underwater navigation and mapping
• [cs.CV]A Robust Scheme for 3D Point Cloud Copy Detection
• [cs.CV]A free lunch from ViT: Adaptive Attention Multi-scale Fusion Transformer for Fine-grained Visual Recognition
• [cs.CV]A new weakly supervised approach for ALS point cloud semantic segmentation
• [cs.CV]Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography
• [cs.CV]Adding Quaternion Representations to Attention Networks for Classification
• [cs.CV]Algorithm Fairness in AI for Medicine and Healthcare
• [cs.CV]An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset
• [cs.CV]Anatomical Landmarks Localization for 3D Foot Point Clouds
• [cs.CV]Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function
• [cs.CV]Asking questions on handwritten document collections
• [cs.CV]Automated Aerial Animal Detection When Spatial Resolution Conditions Are Varied
• [cs.CV]Automated Seed Quality Testing System using GAN & Active Learning
• [cs.CV]BPFNet: A Unified Framework for Bimodal Palmprint Alignment and Fusion
• [cs.CV]Balanced Masked and Standard Face Recognition
• [cs.CV]BdSL36: A Dataset for Bangladeshi Sign Letters Recognition
• [cs.CV]Bounding Box Tightness Prior for Weakly Supervised Image Segmentation
• [cs.CV]CertainNet: Sampling-free Uncertainty Estimation for Object Detection
• [cs.CV]Classification of Viral Pneumonia X-ray Images with the Aucmedi Framework
• [cs.CV]Context-Aware Unsupervised Clustering for Person Search
• [cs.CV]Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering
• [cs.CV]DARDet: A Dense Anchor-free Rotated Object Detector in Aerial Images
• [cs.CV]Domain-Specific Bias Filtering for Single Labeled Domain Generalization
• [cs.CV]Effectiveness of Optimization Algorithms in Deep Image Classification
• [cs.CV]Enhance Images as You Like with Unpaired Learning
• [cs.CV]Explainable Event Recognition
• [cs.CV]FICGAN: Facial Identity Controllable GAN for De-identification
• [cs.CV]Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation
• [cs.CV]Fingerprint Matching using the Onion Peeling Approach and Turning Function
• [cs.CV]GenCo: Generative Co-training on Data-Limited Image Generation
• [cs.CV]Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild
• [cs.CV]Implicit and Explicit Attention for Zero-Shot Learning
• [cs.CV]Inductive Biased Estimation: Learning Generalizations for Identity Transfer
• [cs.CV]InfiniteForm: A synthetic, minimal bias dataset for fitness applications
• [cs.CV]Keypoint Communities
• [cs.CV]Learning Online Visual Invariances for Novel Objects via Super-vised and Self-Supervised Training
• [cs.CV]Learning Structural Representations for Recipe Generation and Food Retrieval
• [cs.CV]Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance
• [cs.CV]Max and Coincidence Neurons in Neural Networks
• [cs.CV]Optimizing Neural Network for Computer Vision task in Edge Device
• [cs.CV]PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
• [cs.CV]RoomStructNet: Learning to Rank Non-Cuboidal Room Layouts From Single View
• [cs.CV]SPEC: Seeing People in the Wild with an Estimated Camera
• [cs.CV]Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
• [cs.CV]Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement
• [cs.CV]Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
• [cs.CV]Spatio-Temporal Video Representation Learning for AI Based Video Playback Style Prediction
• [cs.CV]Translating Images into Maps
• [cs.CV]Universal Adversarial Spoofing Attacks against Face Recognition
• [cs.CV]Universal Face Restoration With Memorized Modulation
• [cs.CV]Weak-shot Semantic Segmentation by Transferring Semantic Affinity and Boundary
• [cs.CV]Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification
• [cs.CY]Anonymer Tanz als dekolonialisierende Praxis. Ein embodied Research Versuch
• [cs.CY]Examining Similar and Ideologically Correlated Imagery in Online Political Communication
• [cs.CY]Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models
• [cs.CY]Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR
• [cs.DB]Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized Collaboration in an Automated Way
• [cs.DB]Tao: A Learning Framework for Adaptive Nearest Neighbor Search using Static Features Only
• [cs.DC]A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms
• [cs.DC]Be Aware of Your Leaders
• [cs.DC]Controlling Resource Allocation using Blockchain-Based Delegation
• [cs.DC]Distributed -Coloring Plays Hide-and-Seek
• [cs.DC]Lower Bounds for Induced Cycle Detection in Distributed Computing
• [cs.DC]Multi-Feasibility Variable Selection
• [cs.DC]Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks
• [cs.DC]Spindle: Techniques for Optimizing Atomic Multicast on RDMA
• [cs.DC]TACC: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks
• [cs.DS]Clique percolation method: memory efficient almost exact communities
• [cs.DS]Random Subgraph Detection Using Queries
• [cs.GT]Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima
• [cs.GT]Information Elicitation Meets Clustering
• [cs.HC]Analysis of the Correlation between smartphone usage changes during the COVID-19 pandemic and usage preferences on apps
• [cs.HC]Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces
• [cs.HC]How mass surveillance can crowd out installations of COVID-19 contact tracing apps
• [cs.IR]A Proposed Conceptual Framework for a Representational Approach to Information Retrieval
• [cs.IR]Deep Neural Matching Models for Graph Retrieval
• [cs.IR]Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering
• [cs.IR]Multiversal Simulacra: Understanding Hypotheticals and Possible Worlds Through Simulation
• [cs.IR]Person Entity Profiling Framework: Identifying, Integrating and Visualizing Online Freely Available Entity-Related Information
• [cs.IR]Relation Analysis between Hotel Review Rating Scores and Sentiment Analysis of Reviews by Chinese Tourists Visiting Japan
• [cs.IR]Unsupervised paradigm for information extraction from transcripts using BERT
• [cs.IT]A Class of Nonbinary Symmetric Information Bottleneck Problems
• [cs.IT]A Minimal Intervention Definition of Reverse Engineering a Neural Circuit
• [cs.IT]A Modified Q-Learning Algorithm for Rate-Profiling of Polarization Adjusted Convolutional (PAC) Codes
• [cs.IT]A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications
• [cs.IT]A Unified 3D Beam Training and Tracking Procedure for Terahertz Communication
• [cs.IT]Age of Changed Information: Content-Aware Status Updating in the Internet of Things
• [cs.IT]Binary code optimization
• [cs.IT]Clustering with Respect to the Information Distance
• [cs.IT]Communication Models for Reconfigurable Intelligent Surfaces: From Surface Electromagnetics to Wireless Networks Optimization
• [cs.IT]Complete b-symbol weight distribution of some irreducible cyclic codes
• [cs.IT]Graph Compression with Application to Model Selection
• [cs.IT]Lifetime Maximization for UAV-Enabled IoT Networks with Cognitive NOMA Transmissions
• [cs.IT]New families of quantum stabilizer codes from Hermitian self-orthogonal algebraic geometry codes
• [cs.IT]Optimal Resource Allocation and Beamforming for Two-User MISO WPCNs for a Non-linear Circuit-Based EH Model
• [cs.IT]Sequences of linear codes where the rate times distance grows rapidly
• [cs.IT]Skew cyclic codes over with derivation
• [cs.IT]Spiked Covariance Estimation from Modulo-Reduced Measurements
• [cs.LG]A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
• [cs.LG]A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability
• [cs.LG]ACDC: Online Unsupervised Cross-Domain Adaptation
• [cs.LG]AI Back-End as a Service for Learning Switching of Mobile Apps between the Fog and the Cloud
• [cs.LG]ALBU: An approximate Loopy Belief message passing algorithm for LDA to improve performance on small data sets
• [cs.LG]An AO-ADMM approach to constraining PARAFAC2 on all modes
• [cs.LG]An Analysis of Super-Net Heuristics in Weight-Sharing NAS
• [cs.LG]An Empirical Investigation of Learning from Biased Toxicity Labels
• [cs.LG]Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits
• [cs.LG]BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning
• [cs.LG]Batch size-invariance for policy optimization
• [cs.LG]Behaviour-conditioned policies for cooperative reinforcement learning tasks
• [cs.LG]Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences
• [cs.LG]Boost Neural Networks by Checkpoints
• [cs.LG]Classifying COVID-19 Spike Sequences from Geographic Location Using Deep Learning
• [cs.LG]Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification
• [cs.LG]Consistency Regularization Can Improve Robustness to Label Noise
• [cs.LG]Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
• [cs.LG]Cycle-Consistent World Models for Domain Independent Latent Imagination
• [cs.LG]Deep Fraud Detection on Non-attributed Graph
• [cs.LG]Deep Learning for Principal-Agent Mean Field Games
• [cs.LG]Deep Learning for Rain Fade Prediction in Satellite Communications
• [cs.LG]DenDrift: A Drift-Aware Algorithm for Host Profiling
• [cs.LG]DiffNet: Neural Field Solutions of Parametric Partial Differential Equations
• [cs.LG]Differentiable Spline Approximations
• [cs.LG]Distributed Learning Approaches for Automated Chest X-Ray Diagnosis
• [cs.LG]Enhancing Model Robustness and Fairness with Causality: A Regularization Approach
• [cs.LG]FairFed: Enabling Group Fairness in Federated Learning
• [cs.LG]Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations
• [cs.LG]Fast Line Search for Multi-Task Learning
• [cs.LG]Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
• [cs.LG]Feel-Good Thompson Sampling for Contextual Bandits and Reinforcement Learning
• [cs.LG]Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
• [cs.LG]GROWN: GRow Only When Necessary for Continual Learning
• [cs.LG]Git: Clustering Based on Graph of Intensity Topology
• [cs.LG]Graph Pointer Neural Networks
• [cs.LG]Human-Centered AI for Data Science: A Systematic Approach
• [cs.LG]HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation
• [cs.LG]Identifiability in Exact Multilayer Sparse Matrix Factorization
• [cs.LG]Identifiability in Exact Two-Layer Sparse Matrix Factorization
• [cs.LG]Incremental Class Learning using Variational Autoencoders with Similarity Learning
• [cs.LG]Inference-InfoGAN: Inference Independence via Embedding Orthogonal Basis Expansion
• [cs.LG]Information-Theoretic Generalization Bounds for Iterative Semi-Supervised Learning
• [cs.LG]Information-theoretic generalization bounds for black-box learning algorithms
• [cs.LG]Kalman Bayesian Neural Networks for Closed-form Online Learning
• [cs.LG]Large Batch Experience Replay
• [cs.LG]Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
• [cs.LG]Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization
• [cs.LG]Learning Networked Linear Dynamical Systems under Non-white Excitation from a Single Trajectory
• [cs.LG]Learning through atypical ‘’phase transitions’’ in overparameterized neural networks
• [cs.LG]ML4C: Seeing Causality Through Latent Vicinity
• [cs.LG]Multi-Agent Path Planning Using Deep Reinforcement Learning
• [cs.LG]On the complexity of the optimal transport problem with graph-structured cost
• [cs.LG]Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations
• [cs.LG]Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
• [cs.LG]ProTo: Program-Guided Transformer for Program-Guided Tasks
• [cs.LG]Progressive Transmission and Inference of Deep Learning Models
• [cs.LG]RAP-Net: Region Attention Predictive Network for Precipitation Nowcasting
• [cs.LG]Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids
• [cs.LG]Robust and Decomposable Average Precision for Image Retrieval
• [cs.LG]Scheduling Optimization Techniques for Neural Network Training
• [cs.LG]Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning
• [cs.LG]Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data
• [cs.LG]Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data
• [cs.LG]Skill Induction and Planning with Latent Language
• [cs.LG]Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients
• [cs.LG]Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
• [cs.LG]SurvTRACE: Transformers for Survival Analysis with Competing Events
• [cs.LG]TinyFedTL: Federated Transfer Learning on Tiny Devices
• [cs.LG]Traffic Flow Forecasting with Maintenance Downtime via Multi-Channel Attention-Based Spatio-Temporal Graph Convolutional Networks
• [cs.LG]Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data
• [cs.LG]Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
• [cs.LG]Unraveling the graph structure of tabular datasets through Bayesian and spectral analysis
• [cs.LG]xFAIR: Better Fairness via Model-based Rebalancing of Protected Attributes
• [cs.MM]Graph Representation Learning for Spatial Image Steganalysis
• [cs.NE]Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks
• [cs.NE]Implementation of Parallel Simplified Swarm Optimization in CUDA
• [cs.NE]Recurrent circuits as multi-path ensembles for modeling responses of early visual cortical neurons
• [cs.NI]Optimized Graph Based Routing Algorithm for the Angara Interconnect
• [cs.NI]Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding
• [cs.NI]Scaling Graph-based Deep Learning models to larger networks
• [cs.RO]A Deep Learning Approach To Dead-Reckoning Navigation For Autonomous Underwater Vehicles With Limited Sensor Payloads
• [cs.RO]AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for Dynamic Crowded Environment
• [cs.RO]AI based Algorithms of Path Planning, Navigation and Control for Mobile Ground Robots and UAVs
• [cs.RO]Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm
• [cs.RO]ComOpT: Combination and Optimization for Testing Autonomous Driving Systems
• [cs.RO]Direct LiDAR Odometry: Fast Localization with Dense Point Clouds
• [cs.RO]Discovering Synergies for Robot Manipulation with Multi-Task Reinforcement Learning
• [cs.RO]Enhancing Voluntary Motion with Modular, Backdrivable, Powered Hip and Knee Orthoses
• [cs.RO]Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp
• [cs.RO]Expanding the Design Space for Electrically-Driven Soft Robots through Handed Shearing Auxetics
• [cs.RO]Fast Uncertainty Quantification for Active Graph SLAM
• [cs.RO]Geometric Atlas of the Middle Ear and Paranasal Sinuses for Robotic Applications
• [cs.RO]Geometry-based Graph Pruning for Lifelong SLAM
• [cs.RO]How To Not Drive: Learning Driving Constraints from Demonstration
• [cs.RO]Hybrid Event Shaping to Stabilize Periodic Hybrid Orbits
• [cs.RO]Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning
• [cs.RO]Mixed Observable RRT: Multi-Agent Mission-Planning in Partially Observable Environments
• [cs.RO]Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning
• [cs.RO]Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning
• [cs.RO]OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
• [cs.RO]Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows
• [cs.RO]Optimal Placement of Roadside Infrastructure Sensors towards Safer Autonomous Vehicle Deployments
• [cs.RO]Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers
• [cs.RO]ReDUCE: Reformulation of Mixed Integer Programs using Data from Unsupervised Clusters for Learning Efficient Strategies
• [cs.RO]SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction
• [cs.RO]Safe Control with Neural Network Dynamic Models
• [cs.RO]Sensitivity Study of Fiducial-Aided Navigation of Unmanned Aerial Vehicles
• [cs.RO]Stanford Pupper: A Low-Cost Agile Quadruped Robot for Benchmarking and Education
• [cs.RO]Stress Testing Autonomous Racing Overtake Maneuvers with RRT
• [cs.RO]Towards Time-Optimal Tunnel-Following for Quadrotors
• [cs.RO]Vision-aided Dynamic Quadrupedal Locomotion on Discrete Terrain using Motion Libraries
• [cs.SD]Building a Noisy Audio Dataset to Evaluate Machine Learning Approaches for Automatic Speech Recognition Systems
• [cs.SD]On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis
• [cs.SD]PL-EESR: Perceptual Loss Based END-TO-END Robust Speaker Representation Extraction
• [cs.SE]Identifying non-natural language artifacts in bug reports
• [cs.SI]A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues
• [cs.SI]An Efficient Procedure for Mining Egocentric Temporal Motifs
• [cs.SI]Application of Social Network Analysis in Evaluating Risk and network resilience of Closed-Loop-Supply-Chain
• [cs.SI]Do Facial Trait Correlates with Roll Call Voting in Parliament? Using fWHR to Study Performance in Politics
• [cs.SI]The Cognitive Science of Extremist Ideologies Online
• [econ.EM]Probabilistic Prediction for Binary Treatment Choice: with focus on personalized medicine
• [eess.AS]AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
• [eess.AS]Decoupling Speaker-Independent Emotions for Voice Conversion Via Source-Filter Networks
• [eess.AS]End-to-End Complex-Valued Multidilated Convolutional Neural Network for Joint Acoustic Echo Cancellation and Noise Suppression
• [eess.AS]Multi-task Voice-Activated Framework using Self-supervised Learning
• [eess.IV]Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement
• [eess.IV]Artificial Intelligence For Breast Cancer Detection: Trends & Directions
• [eess.IV]Assessing glaucoma in retinal fundus photographs using Deep Feature Consistent Variational Autoencoders
• [eess.IV]Attention module improves both performance and interpretability of 4D fMRI decoding neural network
• [eess.IV]Blindness (Diabetic Retinopathy) Severity Scale Detection
• [eess.IV]Deep Kernel Representation for Image Reconstruction in PET
• [eess.IV]Disarranged Zone Learning (DZL): An unsupervised and dynamic automatic stenosis recognition methodology based on coronary angiography
• [eess.IV]EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic liver segmentation in CT
• [eess.IV]Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans
• [eess.IV]Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge
• [eess.IV]Multi-view SA-LA Net: A framework for simultaneous segmentation of RV on multi-view cardiac MR Images
• [eess.IV]Synthetic Velocity Mapping Cardiac MRI Coupled with Automated Left Ventricle Segmentation
• [eess.IV]Welsch Based Multiview Disparity Estimation
• [eess.SP]A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters
• [eess.SP]Cloud-Cluster Architecture for Detection in Intermittently Connected Sensor Networks
• [eess.SP]Economics of Semantic Communication System in Wireless Powered Internet of Things
• [eess.SP]Quickest Change Detection with Non-stationary and Composite Post-change Distribution
• [eess.SY]Data-Driven Detection and Identification of IoT-Enabled Load-Altering Attacks in Power Grids
• [eess.SY]Efficient Modeling of Morphing Wing Flight Using Neural Networks and Cubature Rules
• [eess.SY]Exploration of AI-Oriented Power System Transient Stability Simulations
• [eess.SY]Implementation of MPPT Technique of Solar Module with Supervised Machine Learning
• [eess.SY]Model Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges
• [eess.SY]Terminal Adaptive Guidance for Autonomous Hypersonic Strike Weapons via Reinforcement Learning
• [math.CO]Local Orthogonality Dimension
• [math.NA]Reconstructing group wavelet transform from feature maps with a reproducing kernel iteration
• [math.OC]A Markov process approach to untangling intention versus execution in tennis
• [math.OC]Maximum-Entropy Multi-Agent Dynamic Games: Forward and Inverse Solutions
• [math.ST]Hierarchical Causal Analysis of Natural Languages on a Chain Event Graph
• [math.ST]Some Statistic and Information-theoretic Results On Arithmetic Average Fusion
• [math.ST]Volatility prediction comparison via robust volatility proxies: An empirical deviation perspective
• [q-bio.GN]A mixture model for determining SARS-Cov-2 variant composition in pooled samples
• [q-bio.GN]A systematic evaluation of methods for cell phenotype classification using single-cell RNA sequencing data
• [q-bio.QM]3D-Transformer: Molecular Representation with Transformer in 3D Space
• [q-bio.QM]Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
• [q-bio.QM]Motif-based Graph Self-Supervised Learning forMolecular Property Prediction
• [q-bio.QM]Pharmacoprint — a combination of pharmacophore fingerprint and artificial intelligence as a tool for computer-aided drug design
• [quant-ph]Maximum-Likelihood Quantum State Tomography by Cover’s Method with Non-Asymptotic Analysis
• [quant-ph]Quantum Max-Flow Min-Cut theorem
• [quant-ph]Variational learning of quantum ground states on spiking neuromorphic hardware
• [stat.AP]Longitudinal surface-based spatial Bayesian GLM reveals complex trajectories of motor neurodegeneration in ALS
• [stat.AP]The Impacts of Mobility on Covid-19 Dynamics: Using Soft and Hard Data
• [stat.ME]A Sequential Addressing Subsampling Method for Massive Data Analysis under Memory Constraint
• [stat.ME]A causal fused lasso for interpretable heterogeneous treatment effects estimation
• [stat.ME]A general framework for identification of permissible variable subsets in structured model selection
• [stat.ME]A non-parametric Bayesian approach for adjusting partial compliance in sequential decision making
• [stat.ME]Bayesian Model-Averaged Meta-Analysis in Medicine
• [stat.ME]COFFEE: COVID-19 Forecasts using Fast Evaluations and Estimation
• [stat.ME]Data Integration in Causal Inference
• [stat.ME]Functional outlier detection for density-valued data with application to robustify distribution to distribution regression
• [stat.ME]Graph-based multiple change-point detection
• [stat.ME]Multi-linear Tensor Autoregressive Models
• [stat.ME]Online Control of the False Discovery Rate under “Decision Deadlines”
• [stat.ME]Online multiple testing with super-uniformity reward
• [stat.ME]Vector or Matrix Factor Model? A Strong Rule Helps!
• [stat.ML]Active Learning for Contextual Search with Binary Feedbacks
• [stat.ML]Causality and Generalizability: Identifiability and Learning Methods
• [stat.ML]Clustering a Mixture of Gaussians with Unknown Covariance
• [stat.ML]DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization
• [stat.ML]Factored couplings in multi-marginal optimal transport via difference of convex programming
• [stat.ML]Generalized Kernel Thinning
• [stat.ML]Hierarchical Gaussian Process Models for Regression Discontinuity/Kink under Sharp and Fuzzy Designs
• [stat.ML]Implicit Riemannian Concave Potential Maps
• [stat.ML]Marginally calibrated response distributions for end-to-end learning in autonomous driving
• [stat.ML]Row-clustering of a Point Process-valued Matrix
• [stat.ML]Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
• [stat.ML]Treeging
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• [cond-mat.mtrl-sci]Complex Spin Hamiltonian Represented by Artificial Neural Network
Hongyu Yu, Changsong Xu, Feng Lou, L. Bellaiche, Zhenpeng Hu, Xingao Gong, Hongjun Xiang
http://arxiv.org/abs/2110.00724v1
• [cs.AI]A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances
Dieqiao Feng, Carla P. Gomes, Bart Selman
http://arxiv.org/abs/2110.00898v1
• [cs.AI]A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks
Kathrin Blagec, Simon Ott, Adriano Barbosa da Silva, Matthias Samwald
http://arxiv.org/abs/2110.01434v1
• [cs.AI]An Unsupervised Video Game Playstyle Metric via State Discretization
Chiu-Chou Lin, Wei-Chen Chiu, I-Chen Wu
http://arxiv.org/abs/2110.00950v1
• [cs.AI]Artificial intelligence for Sustainable Energy: A Contextual Topic Modeling and Content Analysis
Tahereh Saheb, Mohammad Dehghani
http://arxiv.org/abs/2110.00828v1
• [cs.AI]Benchmarking Safety Monitors for Image Classifiers with Machine Learning
Raul Sena Ferreira, Jean Arlat, Jeremie Guiochet, Hélène Waeselynck
http://arxiv.org/abs/2110.01232v1
• [cs.AI]Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values
Alexandre Heuillet, Fabien Couthouis, Natalia Díaz-Rodríguez
http://arxiv.org/abs/2110.01307v1
• [cs.AI]Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing
Hoon Oh, Yanhan Tang, Zong Zhang, Alexandre Jacquillat, Fei Fang
http://arxiv.org/abs/2110.01152v1
• [cs.AI]Induction, Popper, and machine learning
Bruce Nielson, Daniel C. Elton
http://arxiv.org/abs/2110.00840v1
• [cs.AI]Learning to Assist Agents by Observing Them
Antti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin
http://arxiv.org/abs/2110.01311v1
• [cs.AI]Trustworthy AI: From Principles to Practices
Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, Bowen Zhou
http://arxiv.org/abs/2110.01167v1
• [cs.AI]What is understandable in Bayesian network explanations?
Raphaela Butz, Renée Schulz, Arjen Hommersom, Marko van Eekelen
http://arxiv.org/abs/2110.01322v1
• [cs.CL]A Aelf-supervised Tibetan-chinese Vocabulary Alignment Method Based On Adversarial Learning
Enshuai Hou, Jie zhu
http://arxiv.org/abs/2110.01258v1
• [cs.CL]A Case Study to Reveal if an Area of Interest has a Trend in Ongoing Tweets Using Word and Sentence Embeddings
İsmail Aslan, Yücel Topçu
http://arxiv.org/abs/2110.00866v1
• [cs.CL]A Comparative Study of Sentiment Analysis Using NLP and Different Machine Learning Techniques on US Airline Twitter Data
Md. Taufiqul Haque Khan Tusar, Md. Touhidul Islam
http://arxiv.org/abs/2110.00859v1
• [cs.CL]A Novel Metric for Evaluating Semantics Preservation
Letian Peng, Zuchao Li, Hai Zhao
http://arxiv.org/abs/2110.01176v1
• [cs.CL]Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models
Wenqian Ye, Fei Xu, Yaojia Huang, Cassie Huang, Ji A
http://arxiv.org/abs/2110.01094v1
• [cs.CL]Aspect Sentiment Quad Prediction as Paraphrase Generation
Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam
http://arxiv.org/abs/2110.00796v1
• [cs.CL]Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences
Yuan An, Alexander Kalinowski, Jane Greenberg
http://arxiv.org/abs/2110.00697v1
• [cs.CL]DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models
Gregor Betz, Kyle Richardson
http://arxiv.org/abs/2110.01509v1
• [cs.CL]Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
Prajjwal Bhargava, Aleksandr Drozd, Anna Rogers
http://arxiv.org/abs/2110.01518v1
• [cs.CL]Improving Zero-shot Multilingual Neural Machine Translation for Low-Resource Languages
Chenyang Li, Gongxu Luo
http://arxiv.org/abs/2110.00712v1
• [cs.CL]Investigating Robustness of Dialog Models to Popular Figurative Language Constructs
Harsh Jhamtani, Varun Gangal, Eduard Hovy, Taylor Berg-Kirkpatrick
http://arxiv.org/abs/2110.00687v1
• [cs.CL]Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding
Ren Li, Yanan Cao, Qiannan Zhu, Xiaoxue Li, Fang Fang
http://arxiv.org/abs/2110.00720v1
• [cs.CL]JuriBERT: A Masked-Language Model Adaptation for French Legal Text
Stella Douka, Hadi Abdine, Michalis Vazirgiannis, Rajaa El Hamdani, David Restrepo Amariles
http://arxiv.org/abs/2110.01485v1
• [cs.CL]LawSum: A weakly supervised approach for Indian Legal Document Summarization
Vedant Parikh, Vidit Mathur, Parth Metha, Nimita Mittal, Prasenjit Majumder
http://arxiv.org/abs/2110.01188v1
• [cs.CL]Leveraging Information Bottleneck for Scientific Document Summarization
Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan
http://arxiv.org/abs/2110.01280v1
• [cs.CL]LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
Ilias Chalkidis, Abhik Jana, Dirk Hartung, Michael Bommarito, Ion Androutsopoulos, Daniel Martin Katz, Nikolaos Aletras
http://arxiv.org/abs/2110.00976v1
• [cs.CL]Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning
Sayan Ghosh, Shashank Srivastava
http://arxiv.org/abs/2110.00842v1
• [cs.CL]Minimizing LR(1) State Machines is NP-Hard
Wuu Yang
http://arxiv.org/abs/2110.00776v1
• [cs.CL]Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset
Ori Shapira, Ramakanth Pasunuru, Ido Dagan, Yael Amsterdamer
http://arxiv.org/abs/2110.01073v1
• [cs.CL]Perhaps PTLMs Should Go to School — A Task to Assess Open Book and Closed Book QA
Manuel R. Ciosici, Joe Cecil, Alex Hedges, Dong-Ho Lee, Marjorie Freedman, Ralph Weischedel
http://arxiv.org/abs/2110.01552v1
• [cs.CL]Probing Language Models for Understanding of Temporal Expressions
Shivin Thukral, Kunal Kukreja, Christian Kavouras
http://arxiv.org/abs/2110.01113v1
• [cs.CL]Project Debater APIs: Decomposing the AI Grand Challenge
Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim
http://arxiv.org/abs/2110.01029v1
• [cs.CL]Protagonists’ Tagger in Literary Domain — New Datasets and a Method for Person Entity Linkage
Weronika Łajewska, Anna Wróblewska
http://arxiv.org/abs/2110.01349v1
• [cs.CL]SPaR.txt, a cheap Shallow Parsing approach for Regulatory texts
Ruben Kruiper, Ioannis Konstas, Alasdair Gray, Farhad Sadeghineko, Richard Watson, Bimal Kumar
http://arxiv.org/abs/2110.01295v1
• [cs.CL]Sentiment and structure in word co-occurrence networks on Twitter
Mikaela Irene Fudolig, Thayer Alshaabi, Michael V. Arnold, Christopher M. Danforth, Peter Sheridan Dodds
http://arxiv.org/abs/2110.00587v1
• [cs.CL]Simplify Your Law: Using Information Theory to Deduplicate Legal Documents
Corinna Coupette, Jyotsna Singh, Holger Spamann
http://arxiv.org/abs/2110.00735v1
• [cs.CL]Structured abbreviation expansion in context
Kyle Gorman, Christo Kirov, Brian Roark, Richard Sproat
http://arxiv.org/abs/2110.01140v1
• [cs.CL]Subtractive mountain clustering algorithm applied to a chatbot to assist elderly people in medication intake
Neuza Clar, Paulo A. Salgado, T-P Azevedo Perdicoúlis
http://arxiv.org/abs/2110.00933v1
• [cs.CL]Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark
Joel Niklaus, Ilias Chalkidis, Matthias Stürmer
http://arxiv.org/abs/2110.00806v1
• [cs.CL]TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts
Sajad Sotudeh, Hanieh Deilamsalehi, Franck Dernoncourt, Nazli Goharian
http://arxiv.org/abs/2110.01159v1
• [cs.CL]The state-of-the-art in text-based automatic personality prediction
Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Taymaz Akan, Mehrdad Ranjbar-Khadivi, Elnaz Zafarni-Moattar, Zoleikha Jahanbakhsh-Naghadeh
http://arxiv.org/abs/2110.01186v1
• [cs.CL]TopiOCQA: Open-domain Conversational Question Answeringwith Topic Switching
Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, Harm de Vries, Siva Reddy
http://arxiv.org/abs/2110.00768v1
• [cs.CL]Towards Theme Detection in Personal Finance Questions
John Xi Qiu, Adam Faulkner, Aysu Ezen Can
http://arxiv.org/abs/2110.01550v1
• [cs.CL]Towards Understanding Persuasion in Computational Argumentation
Esin Durmus
http://arxiv.org/abs/2110.01078v1
• [cs.CL]Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams
Masato Kikuchi, Kento Kawakami, Kazuho Watanabe, Mitsuo Yoshida, Kyoji Umemura
http://arxiv.org/abs/2110.00946v1
• [cs.CR]A New Approach for Image Authentication Framework for Media Forensics Purpose
Ahmad M Nagm, Khaled Y Youssef, Mohammad I Youssef
http://arxiv.org/abs/2110.01065v1
• [cs.CR]AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference
Yue Niu, Ramy E. Ali, Salman Avestimehr
http://arxiv.org/abs/2110.01229v1
• [cs.CR]Automating Privilege Escalation with Deep Reinforcement Learning
Kalle Kujanpää, Willie Victor, Alexander Ilin
http://arxiv.org/abs/2110.01362v1
• [cs.CR]One-Bit Matrix Completion with Differential Privacy
Zhengpin Li, Zheng Wei, Xiaojun Mao, Jian Wang
http://arxiv.org/abs/2110.00719v1
• [cs.CR]SecFL: Confidential Federated Learning using TEEs
Do Le Quoc, Christof Fetzer
http://arxiv.org/abs/2110.00981v1
• [cs.CR]Towards General-purpose Infrastructure for Protecting Scientific Data Under Study
Andrew Trask, Kritika Prakash
http://arxiv.org/abs/2110.01315v1
• [cs.CR]Virtual Private Mobile Network with Multiple Gateways for B5G Location Privacy
Stefano Tomasin, Javier German Luzon Hidalgo
http://arxiv.org/abs/2110.01195v1
• [cs.CV]3d sequential image mosaicing for underwater navigation and mapping
E. Nocerino, F. Menna, B. Chemisky, P. Drap
http://arxiv.org/abs/2110.01382v1
• [cs.CV]A Robust Scheme for 3D Point Cloud Copy Detection
Jiaqi Yang, Xuequan Lu, Wenzhi Chen
http://arxiv.org/abs/2110.00972v1
• [cs.CV]A free lunch from ViT: Adaptive Attention Multi-scale Fusion Transformer for Fine-grained Visual Recognition
Yuan Zhang, Jian Cao, Ling Zhang, Xiangcheng Liu, Zhiyi Wang, Feng Ling, Weiqian Chen
http://arxiv.org/abs/2110.01240v1
• [cs.CV]A new weakly supervised approach for ALS point cloud semantic segmentation
Puzuo Wang, Wei Yao
http://arxiv.org/abs/2110.01462v1
• [cs.CV]Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography
Juan Wang, Bin Xia
http://arxiv.org/abs/2110.00943v1
• [cs.CV]Adding Quaternion Representations to Attention Networks for Classification
Nazmul Shahadat, Anthony S. Maida
http://arxiv.org/abs/2110.01185v1
• [cs.CV]Algorithm Fairness in AI for Medicine and Healthcare
Richard J. Chen, Tiffany Y. Chen, Jana Lipkova, Judy J. Wang, Drew F. K. Williamson, Ming Y. Lu, Sharifa Sahai, Faisal Mahmood
http://arxiv.org/abs/2110.00603v1
• [cs.CV]An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset
Wanyu Bian, Yunmei Chen, Xiaojing Ye, Qingchao Zhang
http://arxiv.org/abs/2110.00715v1
• [cs.CV]Anatomical Landmarks Localization for 3D Foot Point Clouds
Sheldon Fung, Xuequan Lu, Mantas Mykolaitis, Gediminas Kostkevicius, Domantas Ozerenskis
http://arxiv.org/abs/2110.00937v1
• [cs.CV]Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function
Md Tahmid Hossain, Shyh Wei Teng, Ferdous Sohel, Guojun Lu
http://arxiv.org/abs/2110.00899v1
• [cs.CV]Asking questions on handwritten document collections
Minesh Mathew, Lluis Gomez, Dimosthenis Karatzas, CV Jawahar
http://arxiv.org/abs/2110.00711v1
• [cs.CV]Automated Aerial Animal Detection When Spatial Resolution Conditions Are Varied
Jasper Brown, Yongliang Qiao, Cameron Clark, Sabrina Lomax, Khalid Rafique, Salah Sukkarieh
http://arxiv.org/abs/2110.01329v1
• [cs.CV]Automated Seed Quality Testing System using GAN & Active Learning
Sandeep Nagar, Prateek Pani, Raj Nair, Girish Varma
http://arxiv.org/abs/2110.00777v1
• [cs.CV]BPFNet: A Unified Framework for Bimodal Palmprint Alignment and Fusion
Zhaoqun Li, Xu Liang, Dandan Fan, Jinxing Li, David Zhang
http://arxiv.org/abs/2110.01179v1
• [cs.CV]Balanced Masked and Standard Face Recognition
Delong Qi, Kangli Hu, Weijun Tan, Qi Yao, Jingfeng Liu
http://arxiv.org/abs/2110.01521v1
• [cs.CV]BdSL36: A Dataset for Bangladeshi Sign Letters Recognition
Oishee Bintey Hoque, Mohammad Imrul Jubair, Al-Farabi Akash, Saiful Islam
http://arxiv.org/abs/2110.00869v1
• [cs.CV]Bounding Box Tightness Prior for Weakly Supervised Image Segmentation
Juan Wang, Bin Xia
http://arxiv.org/abs/2110.00934v1
• [cs.CV]CertainNet: Sampling-free Uncertainty Estimation for Object Detection
Stefano Gasperini, Jan Haug, Mohammad-Ali Nikouei Mahani, Alvaro Marcos-Ramiro, Nassir Navab, Benjamin Busam, Federico Tombari
http://arxiv.org/abs/2110.01604v1
• [cs.CV]Classification of Viral Pneumonia X-ray Images with the Aucmedi Framework
Pia Schneider, Dominik Müller, Frank Kramer
http://arxiv.org/abs/2110.01017v1
• [cs.CV]Context-Aware Unsupervised Clustering for Person Search
Byeong-Ju Han, Kuhyeun Ko, Jae-Young Sim
http://arxiv.org/abs/2110.01341v1
• [cs.CV]Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering
Long Chen, Yuhang Zheng, Yulei Niu, Hanwang Zhang, Jun Xiao
http://arxiv.org/abs/2110.01013v1
• [cs.CV]DARDet: A Dense Anchor-free Rotated Object Detector in Aerial Images
Feng Zhang, Xueying Wang, Shilin Zhou, Yingqian Wang
http://arxiv.org/abs/2110.01025v1
• [cs.CV]Domain-Specific Bias Filtering for Single Labeled Domain Generalization
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
http://arxiv.org/abs/2110.00726v1
• [cs.CV]Effectiveness of Optimization Algorithms in Deep Image Classification
Zhaoyang Zhu, Haozhe Sun, Chi Zhang
http://arxiv.org/abs/2110.01598v1
• [cs.CV]Enhance Images as You Like with Unpaired Learning
Xiaopeng Sun, Muxingzi Li, Tianyu He, Lubin Fan
http://arxiv.org/abs/2110.01161v1
• [cs.CV]Explainable Event Recognition
Imran Khan, Kashif Ahmad, Namra Gul, Talhat Khan, Nasir Ahmad, Ala-Al-Fuqaha
http://arxiv.org/abs/2110.00755v1
• [cs.CV]FICGAN: Facial Identity Controllable GAN for De-identification
Yonghyun Jeong, Jooyoung Choi, Sungwon Kim, Youngmin Ro, Tae-Hyun Oh, Doyeon Kim, Heonseok Ha, Sungroh Yoon
http://arxiv.org/abs/2110.00740v1
• [cs.CV]Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation
Dan Yao, Stephen McLaughlin, Yoann Altmann
http://arxiv.org/abs/2110.01585v1
• [cs.CV]Fingerprint Matching using the Onion Peeling Approach and Turning Function
Nazanin Padkan, B. Sadeghi Bigham, Mohammad Reza Faraji
http://arxiv.org/abs/2110.00958v1
• [cs.CV]GenCo: Generative Co-training on Data-Limited Image Generation
Kaiwen Cui, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Fangneng Zhan, Shijian Lu
http://arxiv.org/abs/2110.01254v1
• [cs.CV]Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild
Akash Sengupta, Ignas Budvytis, Roberto Cipolla
http://arxiv.org/abs/2110.00990v1
• [cs.CV]Implicit and Explicit Attention for Zero-Shot Learning
Faisal Alamri, Anjan Dutta
http://arxiv.org/abs/2110.00860v1
• [cs.CV]Inductive Biased Estimation: Learning Generalizations for Identity Transfer
Gege Gao, Huaibo Huang, Chaoyou Fu, Ran He
http://arxiv.org/abs/2110.01571v1
• [cs.CV]InfiniteForm: A synthetic, minimal bias dataset for fitness applications
Andrew Weitz, Lina Colucci, Sidney Primas, Brinnae Bent
http://arxiv.org/abs/2110.01330v1
• [cs.CV]Keypoint Communities
Duncan Zauss, Sven Kreiss, Alexandre Alahi
http://arxiv.org/abs/2110.00988v1
• [cs.CV]Learning Online Visual Invariances for Novel Objects via Super-vised and Self-Supervised Training
Valerio Biscione, Jeffrey S. Bowers
http://arxiv.org/abs/2110.01476v1
• [cs.CV]Learning Structural Representations for Recipe Generation and Food Retrieval
Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
http://arxiv.org/abs/2110.01209v1
• [cs.CV]Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance
Nian Liu, Wangbo Zhao, Dingwen Zhang, Junwei Han, Ling Shao
http://arxiv.org/abs/2110.00698v1
• [cs.CV]Max and Coincidence Neurons in Neural Networks
Albert Lee, Kang L. Wang
http://arxiv.org/abs/2110.01218v1
• [cs.CV]Optimizing Neural Network for Computer Vision task in Edge Device
Ranjith M S, S Parameshwara, Pavan Yadav A, Shriganesh Hegde
http://arxiv.org/abs/2110.00791v1
• [cs.CV]PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet
http://arxiv.org/abs/2110.01269v1
• [cs.CV]RoomStructNet: Learning to Rank Non-Cuboidal Room Layouts From Single View
Xi Zhang, Chun-Kai Wang, Kenan Deng, Tomas Yago-Vicente, Himanshu Arora
http://arxiv.org/abs/2110.00644v1
• [cs.CV]SPEC: Seeing People in the Wild with an Estimated Camera
Muhammed Kocabas, Chun-Hao P. Huang, Joachim Tesch, Lea Müller, Otmar Hilliges, Michael J. Black
http://arxiv.org/abs/2110.00620v1
• [cs.CV]Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
Farzaneh Rezaeianaran, Rakshith Shetty, Rahaf Aljundi, Daniel Olmeda Reino, Shanshan Zhang, Bernt Schiele
http://arxiv.org/abs/2110.01428v1
• [cs.CV]Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement
Shen Zheng, Gaurav Gupta
http://arxiv.org/abs/2110.00970v1
• [cs.CV]Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang, Yifan Sun, Xun Wang, Haotian Yao, Chi Zhang
http://arxiv.org/abs/2110.01253v1
• [cs.CV]Spatio-Temporal Video Representation Learning for AI Based Video Playback Style Prediction
Rishubh Parihar, Gaurav Ramola, Ranajit Saha, Ravi Kini, Aniket Rege, Sudha Velusamy
http://arxiv.org/abs/2110.01015v1
• [cs.CV]Translating Images into Maps
Avishkar Saha, Oscar Mendez Maldonado, Chris Russell, Richard Bowden
http://arxiv.org/abs/2110.00966v1
• [cs.CV]Universal Adversarial Spoofing Attacks against Face Recognition
Takuma Amada, Seng Pei Liew, Kazuya Kakizaki, Toshinori Araki
http://arxiv.org/abs/2110.00708v1
• [cs.CV]Universal Face Restoration With Memorized Modulation
Jia Li, Huaibo Huang, Xiaofei Jia, Ran He
http://arxiv.org/abs/2110.01033v1
• [cs.CV]Weak-shot Semantic Segmentation by Transferring Semantic Affinity and Boundary
Siyuan Zhou, Li Niu, Jianlou Si, Chen Qian, Liqing Zhang
http://arxiv.org/abs/2110.01519v1
• [cs.CV]Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification
Edson Bollis, Helena Maia, Helio Pedrini, Sandra Avila
http://arxiv.org/abs/2110.00881v1
• [cs.CY]Anonymer Tanz als dekolonialisierende Praxis. Ein embodied Research Versuch
Paula Helm
http://arxiv.org/abs/2110.01089v1
• [cs.CY]Examining Similar and Ideologically Correlated Imagery in Online Political Communication
Amogh Joshi, Cody Buntain
http://arxiv.org/abs/2110.01183v1
• [cs.CY]Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models
Robert Wolfe, Aylin Caliskan
http://arxiv.org/abs/2110.00672v1
• [cs.CY]Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR
Francesco Sovrano, Fabio Vitali, Monica Palmirani
http://arxiv.org/abs/2110.00758v1
• [cs.DB]Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized Collaboration in an Automated Way
Rui Zhao, Malcolm Atkinson, Petros Papapanagiotou, Federica Magnoni, Jacques Fleuriot
http://arxiv.org/abs/2110.01056v1
• [cs.DB]Tao: A Learning Framework for Adaptive Nearest Neighbor Search using Static Features Only
Kaixiang Yang, Hongya Wang, Bo Xu, Wei Wang, Yingyuan Xiao, Ming Du, Junfeng Zhou
http://arxiv.org/abs/2110.00696v1
• [cs.DC]A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms
Zixuan Jiang, Jiaqi Gu, David Z. Pan
http://arxiv.org/abs/2110.01172v1
• [cs.DC]Be Aware of Your Leaders
Shir Cohen, Rati Gelashvili, Lefteris Kokoris Kogias, Zekun Li, Dahlia Malkhi, Alberto Sonnino, Alexander Spiegelman
http://arxiv.org/abs/2110.00960v1
• [cs.DC]Controlling Resource Allocation using Blockchain-Based Delegation
Shantanu Pal, Ambrose Hill, Tahiry Rabehaja, Michael Hitchens
http://arxiv.org/abs/2110.01162v1
• [cs.DC]Distributed -Coloring Plays Hide-and-Seek
Alkida Balliu, Sebastian Brandt, Fabian Kuhn, Dennis Olivetti
http://arxiv.org/abs/2110.00643v1
• [cs.DC]Lower Bounds for Induced Cycle Detection in Distributed Computing
François Le Gall, Masayuki Miyamoto
http://arxiv.org/abs/2110.00741v1
• [cs.DC]Multi-Feasibility Variable Selection
Ali Fathi, Mohammad Rashid, Shayan Ranjbarzadeh, Mojtaba Tefagh
http://arxiv.org/abs/2110.00819v1
• [cs.DC]Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks
Chongzhou Fang, Han Wang, Najmeh Nazari, Behnam Omidi, Avesta Sasan, Khaled N. Khasawneh, Setareh Rafatirad, Houman Homayoun
http://arxiv.org/abs/2110.00846v1
• [cs.DC]Spindle: Techniques for Optimizing Atomic Multicast on RDMA
Sagar Jha, Lorenzo Rosa, Ken Birman
http://arxiv.org/abs/2110.00886v1
• [cs.DC]TACC: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks
Kaiqiang Xu, Xinchen Wan, Hao Wang, Zhenghang Ren, Xudong Liao, Decang Sun, Chaoliang Zeng, Kai Chen
http://arxiv.org/abs/2110.01556v1
• [cs.DS]Clique percolation method: memory efficient almost exact communities
Alexis Baudin, Maximilien Danisch, Sergey Kirgizov, Clémence Magnien, Marwan Ghanem
http://arxiv.org/abs/2110.01213v1
• [cs.DS]Random Subgraph Detection Using Queries
Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal
http://arxiv.org/abs/2110.00744v1
• [cs.GT]Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima
Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang
http://arxiv.org/abs/2110.01212v1
• [cs.GT]Information Elicitation Meets Clustering
Yuqing Kong
http://arxiv.org/abs/2110.00952v1
• [cs.HC]Analysis of the Correlation between smartphone usage changes during the COVID-19 pandemic and usage preferences on apps
Yuxuan Yang, Maiko Shigeno
http://arxiv.org/abs/2110.01331v1
• [cs.HC]Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces
Francesco Sovrano, Fabio Vitali
http://arxiv.org/abs/2110.00762v1
• [cs.HC]How mass surveillance can crowd out installations of COVID-19 contact tracing apps
Eran Toch, Oshrat Ayalon
http://arxiv.org/abs/2110.01567v1
• [cs.IR]A Proposed Conceptual Framework for a Representational Approach to Information Retrieval
Jimmy Lin
http://arxiv.org/abs/2110.01529v1
• [cs.IR]Deep Neural Matching Models for Graph Retrieval
Chitrank Gupta, Yash Jain
http://arxiv.org/abs/2110.00925v1
• [cs.IR]Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering
Minghan Li, Jimmy Lin
http://arxiv.org/abs/2110.01599v1
• [cs.IR]Multiversal Simulacra: Understanding Hypotheticals and Possible Worlds Through Simulation
Michael D. Ekstrand
http://arxiv.org/abs/2110.00811v1
• [cs.IR]Person Entity Profiling Framework: Identifying, Integrating and Visualizing Online Freely Available Entity-Related Information
Saeed Amal, Einat Minkov, Tsvi Kuflik
http://arxiv.org/abs/2110.00759v1
• [cs.IR]Relation Analysis between Hotel Review Rating Scores and Sentiment Analysis of Reviews by Chinese Tourists Visiting Japan
Elisa Claire Alemán Carreón, Hirofumi Nonaka, Toru Hiraoka
http://arxiv.org/abs/2110.00821v1
• [cs.IR]Unsupervised paradigm for information extraction from transcripts using BERT
Aravind Chandramouli, Siddharth Shukla, Neeti Nair, Shiven Purohit, Shubham Pandey, Murali Krishna
http://arxiv.org/abs/2110.00949v1
• [cs.IT]A Class of Nonbinary Symmetric Information Bottleneck Problems
Michael Dikshtein, Shlomo Shamai
http://arxiv.org/abs/2110.00985v1
• [cs.IT]A Minimal Intervention Definition of Reverse Engineering a Neural Circuit
Keerthana Gurushankar, Pulkit Grover
http://arxiv.org/abs/2110.00889v1
• [cs.IT]A Modified Q-Learning Algorithm for Rate-Profiling of Polarization Adjusted Convolutional (PAC) Codes
Samir Kumar Mishra, Digvijay Katyal, Sarvesha Anegundi Ganapathi
http://arxiv.org/abs/2110.01563v1
• [cs.IT]A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications
Beixiong Zheng, Changsheng You, Weidong Mei, Rui Zhang
http://arxiv.org/abs/2110.01292v1
• [cs.IT]A Unified 3D Beam Training and Tracking Procedure for Terahertz Communication
Boyu Ning, Zhi Chen, Zhongbao Tian, Chong Han, Shaoqian Li
http://arxiv.org/abs/2110.01066v1
• [cs.IT]Age of Changed Information: Content-Aware Status Updating in the Internet of Things
Xijun Wang, Wenrui Lin, Chao Xu, Xinghua Sun, Xiang Chen
http://arxiv.org/abs/2110.00817v1
• [cs.IT]Binary code optimization
Parviz Gharehbagheri, Sayeed Hamid Haji Sayeed Javadi, Parvaneh Asghari, Naser Gharehbagheri
http://arxiv.org/abs/2110.00917v1
• [cs.IT]Clustering with Respect to the Information Distance
Andrei Romashchenko
http://arxiv.org/abs/2110.01346v1
• [cs.IT]Communication Models for Reconfigurable Intelligent Surfaces: From Surface Electromagnetics to Wireless Networks Optimization
Marco Di Renzo, Fadil H. Danufane, Sergei Tretyakov
http://arxiv.org/abs/2110.00833v1
• [cs.IT]Complete b-symbol weight distribution of some irreducible cyclic codes
Hongwei Zhu, Minjia Shi, Ferruh Ozbudak
http://arxiv.org/abs/2110.00805v1
• [cs.IT]Graph Compression with Application to Model Selection
Mojtaba Abolfazli, Anders Host-Madsen, June Zhang, Andras Bratincsak
http://arxiv.org/abs/2110.00701v1
• [cs.IT]Lifetime Maximization for UAV-Enabled IoT Networks with Cognitive NOMA Transmissions
Na Tang
http://arxiv.org/abs/2110.01133v1
• [cs.IT]New families of quantum stabilizer codes from Hermitian self-orthogonal algebraic geometry codes
Lin Sok
http://arxiv.org/abs/2110.00769v1
• [cs.IT]Optimal Resource Allocation and Beamforming for Two-User MISO WPCNs for a Non-linear Circuit-Based EH Model
Nikita Shanin, Moritz Garkisch, Amelie Hagelauer, Robert Schober, Laura Cottatellucci
http://arxiv.org/abs/2110.01453v1
• [cs.IT]Sequences of linear codes where the rate times distance grows rapidly
Faezeh Alizadeh, S. P. Glasby, Cheryl E. Praeger
http://arxiv.org/abs/2110.01277v1
• [cs.IT]Skew cyclic codes over with derivation
Djoko Suprijanto, Hopein Christofen Tang
http://arxiv.org/abs/2110.01580v1
• [cs.IT]Spiked Covariance Estimation from Modulo-Reduced Measurements
Elad Romanov, Or Ordentlich
http://arxiv.org/abs/2110.01150v1
• [cs.LG]A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun
http://arxiv.org/abs/2110.01515v1
• [cs.LG]A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques Slotine, Chuchu Fan
http://arxiv.org/abs/2110.00693v1
• [cs.LG]ACDC: Online Unsupervised Cross-Domain Adaptation
Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Yapp
http://arxiv.org/abs/2110.01326v1
• [cs.LG]AI Back-End as a Service for Learning Switching of Mobile Apps between the Fog and the Cloud
Dionysis Athanasopoulos, Dewei Liu
http://arxiv.org/abs/2110.00836v1
• [cs.LG]ALBU: An approximate Loopy Belief message passing algorithm for LDA to improve performance on small data sets
Rebecca M. C. Taylor, Johan A. du Preez
http://arxiv.org/abs/2110.00635v1
• [cs.LG]An AO-ADMM approach to constraining PARAFAC2 on all modes
Marie Roald, Carla Schenker, Rasmus Bro, Jeremy E. Cohen, Evrim Acar
http://arxiv.org/abs/2110.01278v1
• [cs.LG]An Analysis of Super-Net Heuristics in Weight-Sharing NAS
Kaicheng Yu, René Ranftl, Mathieu Salzmann
http://arxiv.org/abs/2110.01154v1
• [cs.LG]An Empirical Investigation of Learning from Biased Toxicity Labels
Neel Nanda, Jonathan Uesato, Sven Gowal
http://arxiv.org/abs/2110.01577v1
• [cs.LG]Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits
Chuanhao Li, Hongning Wang
http://arxiv.org/abs/2110.01463v1
• [cs.LG]BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning
Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K Prasanna
http://arxiv.org/abs/2110.00894v1
• [cs.LG]Batch size-invariance for policy optimization
Jacob Hilton, Karl Cobbe, John Schulman
http://arxiv.org/abs/2110.00641v1
• [cs.LG]Behaviour-conditioned policies for cooperative reinforcement learning tasks
Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin
http://arxiv.org/abs/2110.01266v1
• [cs.LG]Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences
Adrian Caruana, Madhushi Bandara, Daniel Catchpoole, Paul J Kennedy
http://arxiv.org/abs/2110.01160v1
• [cs.LG]Boost Neural Networks by Checkpoints
Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv
http://arxiv.org/abs/2110.00959v1
• [cs.LG]Classifying COVID-19 Spike Sequences from Geographic Location Using Deep Learning
Sarwan Ali, Babatunde Bello, Murray Patterson
http://arxiv.org/abs/2110.00809v1
• [cs.LG]Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification
Guy N. Rothblum, Gal Yona
http://arxiv.org/abs/2110.00813v1
• [cs.LG]Consistency Regularization Can Improve Robustness to Label Noise
Erik Englesson, Hossein Azizpour
http://arxiv.org/abs/2110.01242v1
• [cs.LG]Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques Slotine
http://arxiv.org/abs/2110.00675v1
• [cs.LG]Cycle-Consistent World Models for Domain Independent Latent Imagination
Sidney Bender, Tim Joseph, Marius Zoellner
http://arxiv.org/abs/2110.00808v1
• [cs.LG]Deep Fraud Detection on Non-attributed Graph
Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu
http://arxiv.org/abs/2110.01171v1
• [cs.LG]Deep Learning for Principal-Agent Mean Field Games
Steven Campbell, Yichao Chen, Arvind Shrivats, Sebastian Jaimungal
http://arxiv.org/abs/2110.01127v1
• [cs.LG]Deep Learning for Rain Fade Prediction in Satellite Communications
Aidin Ferdowsi, David Whitefield
http://arxiv.org/abs/2110.00695v1
• [cs.LG]DenDrift: A Drift-Aware Algorithm for Host Profiling
Ali Sedaghatbaf, Sima Sinaei, Perttu Ranta-aho, Marko Koskinen
http://arxiv.org/abs/2110.01221v1
• [cs.LG]DiffNet: Neural Field Solutions of Parametric Partial Differential Equations
Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
http://arxiv.org/abs/2110.01601v1
• [cs.LG]Differentiable Spline Approximations
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
http://arxiv.org/abs/2110.01532v1
• [cs.LG]Distributed Learning Approaches for Automated Chest X-Ray Diagnosis
Edoardo Giacomello, Michele Cataldo, Daniele Loiacono, Pier Luca Lanzi
http://arxiv.org/abs/2110.01474v1
• [cs.LG]Enhancing Model Robustness and Fairness with Causality: A Regularization Approach
Zhao Wang, Kai Shu, Aron Culotta
http://arxiv.org/abs/2110.00911v1
• [cs.LG]FairFed: Enabling Group Fairness in Federated Learning
Yahya H. Ezzeldin, Shen Yan, Chaoyang He, Emilio Ferrara, Salman Avestimehr
http://arxiv.org/abs/2110.00857v1
• [cs.LG]Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations
Andreas Triantafyllopoulos, Manuel Milling, Konstantinos Drossos, Björn W. Schuller
http://arxiv.org/abs/2110.01506v1
• [cs.LG]Fast Line Search for Multi-Task Learning
Andrey Filatov, Daniil Merkulov
http://arxiv.org/abs/2110.00874v1
• [cs.LG]Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
Jiong Zhang, Wei-cheng Chang, Hsiang-fu Yu, Inderjit S. Dhillon
http://arxiv.org/abs/2110.00685v1
• [cs.LG]Feel-Good Thompson Sampling for Contextual Bandits and Reinforcement Learning
Tong Zhang
http://arxiv.org/abs/2110.00871v1
• [cs.LG]Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
Yang Zhang, Ashkan Khakzar, Yawei Li, Azade Farshad, Seong Tae Kim, Nassir Navab
http://arxiv.org/abs/2110.01471v1
• [cs.LG]GROWN: GRow Only When Necessary for Continual Learning
Li Yang, Sen Lin, Junshan Zhang, Deliang Fan
http://arxiv.org/abs/2110.00908v1
• [cs.LG]Git: Clustering Based on Graph of Intensity Topology
Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan. Z Li
http://arxiv.org/abs/2110.01274v1
• [cs.LG]Graph Pointer Neural Networks
Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai
http://arxiv.org/abs/2110.00973v1
• [cs.LG]Human-Centered AI for Data Science: A Systematic Approach
Dakuo Wang, Xiaojuan Ma, April Yi Wang
http://arxiv.org/abs/2110.01108v1
• [cs.LG]HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation
Vijaikumar M, Deepesh Hada, Shirish Shevade
http://arxiv.org/abs/2110.01467v1
• [cs.LG]Identifiability in Exact Multilayer Sparse Matrix Factorization
Léon Zheng, Rémi Gribonval, Elisa Riccietti
http://arxiv.org/abs/2110.01230v1
• [cs.LG]Identifiability in Exact Two-Layer Sparse Matrix Factorization
Léon Zheng, Rémi Gribonval, Elisa Riccietti
http://arxiv.org/abs/2110.01235v1
• [cs.LG]Incremental Class Learning using Variational Autoencoders with Similarity Learning
Jiahao Huo, Terence L. van Zyl
http://arxiv.org/abs/2110.01303v1
• [cs.LG]Inference-InfoGAN: Inference Independence via Embedding Orthogonal Basis Expansion
Hongxiang Jiang, Jihao Yin, Xiaoyan Luo, Fuxiang Wang
http://arxiv.org/abs/2110.00788v1
• [cs.LG]Information-Theoretic Generalization Bounds for Iterative Semi-Supervised Learning
Haiyun He, Hanshu Yan, Vincent Y. F. Tan
http://arxiv.org/abs/2110.00926v1
• [cs.LG]Information-theoretic generalization bounds for black-box learning algorithms
Hrayr Harutyunyan, Maxim Raginsky, Greg Ver Steeg, Aram Galstyan
http://arxiv.org/abs/2110.01584v1
• [cs.LG]Kalman Bayesian Neural Networks for Closed-form Online Learning
Philipp Wagner, Xinyang Wu, Marco F. Huber
http://arxiv.org/abs/2110.00944v1
• [cs.LG]Large Batch Experience Replay
Thibault Lahire, Matthieu Geist, Emmanuel Rachelson
http://arxiv.org/abs/2110.01528v1
• [cs.LG]Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios N. Angelopoulos, Stephen Bates, Emmanuel J. Candès, Michael I. Jordan, Lihua Lei
http://arxiv.org/abs/2110.01052v1
• [cs.LG]Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization
Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin
http://arxiv.org/abs/2110.01438v1
• [cs.LG]Learning Networked Linear Dynamical Systems under Non-white Excitation from a Single Trajectory
Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti Salapaka
http://arxiv.org/abs/2110.00852v1
• [cs.LG]Learning through atypical ‘’phase transitions’’ in overparameterized neural networks
Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Rosalba Pacelli, Gabriele Perugini, Riccardo Zecchina
http://arxiv.org/abs/2110.00683v1
• [cs.LG]ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
http://arxiv.org/abs/2110.00637v1
• [cs.LG]Multi-Agent Path Planning Using Deep Reinforcement Learning
Mert Çetinkaya
http://arxiv.org/abs/2110.01460v1
• [cs.LG]On the complexity of the optimal transport problem with graph-structured cost
Jiaojiao Fan, Isabel Haasler, Johan Karlsson, Yongxin Chen
http://arxiv.org/abs/2110.00627v1
• [cs.LG]Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations
Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K Prasanna
http://arxiv.org/abs/2110.01101v1
• [cs.LG]Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
Erdem Bıyık, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh
http://arxiv.org/abs/2110.00751v1
• [cs.LG]ProTo: Program-Guided Transformer for Program-Guided Tasks
Zelin Zhao, Karan Samel, Binghong Chen, Le Song
http://arxiv.org/abs/2110.00804v1
• [cs.LG]Progressive Transmission and Inference of Deep Learning Models
Youngsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi
http://arxiv.org/abs/2110.00916v1
• [cs.LG]RAP-Net: Region Attention Predictive Network for Precipitation Nowcasting
Chuyao Luo, ZhengZhang, Rui Ye, Xutao Li, Yunming Ye
http://arxiv.org/abs/2110.01035v1
• [cs.LG]Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids
Shanny Lin, Shaohui Liu, Hao Zhu
http://arxiv.org/abs/2110.01490v1
• [cs.LG]Robust and Decomposable Average Precision for Image Retrieval
Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot
http://arxiv.org/abs/2110.01445v1
• [cs.LG]Scheduling Optimization Techniques for Neural Network Training
Hyungjun Oh, Hyungjun Oh, HyeongJu Kim, Jiwon Seo
http://arxiv.org/abs/2110.00929v1
• [cs.LG]Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning
Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel
http://arxiv.org/abs/2110.00784v1
• [cs.LG]Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data
Laila Rasmy, Jie Zhu, Zhiheng Li, Xin Hao, Hong Thoai Tran, Yujia Zhou, Firat Tiryaki, Yang Xiang, Hua Xu, Degui Zhi
http://arxiv.org/abs/2110.0099
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• [cs.LG]Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data
Laila Rasmy, Jie Zhu, Zhiheng Li, Xin Hao, Hong Thoai Tran, Yujia Zhou, Firat Tiryaki, Yang Xiang, Hua Xu, Degui Zhi
http://arxiv.org/abs/2110.00998v1
• [cs.LG]Skill Induction and Planning with Latent Language
Pratyusha Sharma, Antonio Torralba, Jacob Andreas
http://arxiv.org/abs/2110.01517v1
• [cs.LG]Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients
Lingjiao Chen, Leshang Chen, Hongyi Wang, Susan Davidson, Edgar Dobriban
http://arxiv.org/abs/2110.01595v1
• [cs.LG]Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
Fuchao Wei, Chenglong Bao, Yang Liu
http://arxiv.org/abs/2110.01543v1
• [cs.LG]SurvTRACE: Transformers for Survival Analysis with Competing Events
Zifeng Wang, Jimeng Sun
http://arxiv.org/abs/2110.00855v1
• [cs.LG]TinyFedTL: Federated Transfer Learning on Tiny Devices
Kavya Kopparapu, Eric Lin
http://arxiv.org/abs/2110.01107v1
• [cs.LG]Traffic Flow Forecasting with Maintenance Downtime via Multi-Channel Attention-Based Spatio-Temporal Graph Convolutional Networks
Yuanjie Lu, Parastoo Kamranfar, David Lattanzi, Amarda Shehu
http://arxiv.org/abs/2110.01535v1
• [cs.LG]Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data
Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari
http://arxiv.org/abs/2110.00841v1
• [cs.LG]Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song
http://arxiv.org/abs/2110.01548v1
• [cs.LG]Unraveling the graph structure of tabular datasets through Bayesian and spectral analysis
Bruno Messias F. de Resende, Eric K. Tokuda, Luciano da Fontoura Costa
http://arxiv.org/abs/2110.01421v1
• [cs.LG]xFAIR: Better Fairness via Model-based Rebalancing of Protected Attributes
Kewen Peng, Joymallya Chakraborty, Tim Menzies
http://arxiv.org/abs/2110.01109v1
• [cs.MM]Graph Representation Learning for Spatial Image Steganalysis
Qiyun Liu, Hanzhou Wu
http://arxiv.org/abs/2110.00957v1
• [cs.NE]Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks
Mufeng Tang, Yibo Yang, Yali Amit
http://arxiv.org/abs/2109.15089v2
• [cs.NE]Implementation of Parallel Simplified Swarm Optimization in CUDA
Wei-Chang Yeh, Zhenyao Liu, Shi-Yi Tan, Shang-Ke Huang
http://arxiv.org/abs/2110.01470v1
• [cs.NE]Recurrent circuits as multi-path ensembles for modeling responses of early visual cortical neurons
Yimeng Zhang, Harold Rockwell, Ge Huang, Stephen Tsou, Yuanyuan Wei, Tai Sing Lee
http://arxiv.org/abs/2110.00825v1
• [cs.NI]Optimized Graph Based Routing Algorithm for the Angara Interconnect
Anatoly Mukosey, Alexander Semenov, Alexander Tretiakov
http://arxiv.org/abs/2110.00851v1
• [cs.NI]Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding
Haitham Afifi, Fabian Sauer, Holger Karl
http://arxiv.org/abs/2110.01262v1
• [cs.NI]Scaling Graph-based Deep Learning models to larger networks
Miquel Ferriol-Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
http://arxiv.org/abs/2110.01261v1
• [cs.RO]A Deep Learning Approach To Dead-Reckoning Navigation For Autonomous Underwater Vehicles With Limited Sensor Payloads
Ivar Bjørgo Saksvik, Alex Alcocer, Vahid Hassani
http://arxiv.org/abs/2110.00661v1
• [cs.RO]AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for Dynamic Crowded Environment
Huifeng Guan, Yuan Gao, Min Zhao, Yong Yang, Fuqin Deng, Tin Lun Lam
http://arxiv.org/abs/2110.00760v1
• [cs.RO]AI based Algorithms of Path Planning, Navigation and Control for Mobile Ground Robots and UAVs
Jian Zhang
http://arxiv.org/abs/2110.00910v1
• [cs.RO]Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm
Kanata Suzuki, Taro Sunagawa, Tomotake Sasaki, Takashi Katoh
http://arxiv.org/abs/2110.00947v1
• [cs.RO]ComOpT: Combination and Optimization for Testing Autonomous Driving Systems
Changwen Li, Chih-Hong Cheng, Tiantian Sun, Yuhang Chen, Rongjie Yan
http://arxiv.org/abs/2110.00761v1
• [cs.RO]Direct LiDAR Odometry: Fast Localization with Dense Point Clouds
Kenny Chen, Brett T. Lopez, Ali-akbar Agha-mohammadi, Ankur Mehta
http://arxiv.org/abs/2110.00605v1
• [cs.RO]Discovering Synergies for Robot Manipulation with Multi-Task Reinforcement Learning
Zhanpeng He, Matei Ciocarlie
http://arxiv.org/abs/2110.01530v1
• [cs.RO]Enhancing Voluntary Motion with Modular, Backdrivable, Powered Hip and Knee Orthoses
Christopher Nesler, Gray Thomas, Nikhil Divekar, Elliott J. Rouse, Robert D. Gregg
http://arxiv.org/abs/2110.01562v1
• [cs.RO]Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp
Marina González-Álvarez, Julien Dupeyroux, Federico Corradi, Guido de Croon
http://arxiv.org/abs/2110.00646v1
• [cs.RO]Expanding the Design Space for Electrically-Driven Soft Robots through Handed Shearing Auxetics
Ian Good, Tosh Brown-Moore, Aditya Patil, Daniel Revier, Jeffrey Ian Lipton
http://arxiv.org/abs/2110.00669v1
• [cs.RO]Fast Uncertainty Quantification for Active Graph SLAM
Julio A. Placed, José A. Castellanos
http://arxiv.org/abs/2110.01289v1
• [cs.RO]Geometric Atlas of the Middle Ear and Paranasal Sinuses for Robotic Applications
Guillaume Michel, Durgesh Salunkhe, Philippe Bordure, Damien Chablat
http://arxiv.org/abs/2110.01246v1
• [cs.RO]Geometry-based Graph Pruning for Lifelong SLAM
Gerhard Kurz, Matthias Holoch, Peter Biber
http://arxiv.org/abs/2110.01286v1
• [cs.RO]How To Not Drive: Learning Driving Constraints from Demonstration
Kasra Rezaee, Peyman Yadmellat
http://arxiv.org/abs/2110.00645v1
• [cs.RO]Hybrid Event Shaping to Stabilize Periodic Hybrid Orbits
James Zhu, Nathan J. Kong, George Council, Aaron M. Jonhson
http://arxiv.org/abs/2110.01123v1
• [cs.RO]Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning
Danny Driess, Jung-Su Ha, Marc Toussaint, Russ Tedrake
http://arxiv.org/abs/2110.00792v1
• [cs.RO]Mixed Observable RRT: Multi-Agent Mission-Planning in Partially Observable Environments
Kasper Johansson, Ugo Rosolia, Wyatt Ubellacker, Andrew Singletary, Aaron D. Ames
http://arxiv.org/abs/2110.01002v1
• [cs.RO]Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning
Kasra Rezaee, Peyman Yadmellat, Simon Chamorro
http://arxiv.org/abs/2110.00640v1
• [cs.RO]Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning
Kasra Rezaee, Peyman Yadmellat, Masoud S. Nosrati, Elmira Amirloo Abolfathi, Mohammed Elmahgiubi, Jun Luo
http://arxiv.org/abs/2110.00650v1
• [cs.RO]OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu
http://arxiv.org/abs/2110.00704v1
• [cs.RO]Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows
Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard
http://arxiv.org/abs/2110.00876v1
• [cs.RO]Optimal Placement of Roadside Infrastructure Sensors towards Safer Autonomous Vehicle Deployments
Roshan Vijay, Jim Cherian, Rachid Riah, Niels de Boer, Apratim Choudhury
http://arxiv.org/abs/2110.01251v1
• [cs.RO]Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers
Kilian Kleeberger, Jonathan Schnitzler, Muhammad Usman Khalid, Richard Bormann, Werner Kraus, Marco F. Huber
http://arxiv.org/abs/2110.00992v1
• [cs.RO]ReDUCE: Reformulation of Mixed Integer Programs using Data from Unsupervised Clusters for Learning Efficient Strategies
Xuan Lin, Gabriel I. Fernandez, Dennis W. Hong
http://arxiv.org/abs/2110.00666v1
• [cs.RO]SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction
Haimin Hu, Kensuke Nakamura, Jaime F. Fisac
http://arxiv.org/abs/2110.00843v1
• [cs.RO]Safe Control with Neural Network Dynamic Models
Tianhao Wei, Changliu Liu
http://arxiv.org/abs/2110.01110v1
• [cs.RO]Sensitivity Study of Fiducial-Aided Navigation of Unmanned Aerial Vehicles
Amanda J. Strate, Randall Christensen
http://arxiv.org/abs/2110.01596v1
• [cs.RO]Stanford Pupper: A Low-Cost Agile Quadruped Robot for Benchmarking and Education
Nathan Kau, Stuart Bowers
http://arxiv.org/abs/2110.00736v1
• [cs.RO]Stress Testing Autonomous Racing Overtake Maneuvers with RRT
Stanley Bak, Johannes Betz, Abhinav Chawla, Hongrui Zheng, Rahul Mangharam
http://arxiv.org/abs/2110.01095v1
• [cs.RO]Towards Time-Optimal Tunnel-Following for Quadrotors
Jon Arrizabalaga, Markus Ryll
http://arxiv.org/abs/2110.01351v1
• [cs.RO]Vision-aided Dynamic Quadrupedal Locomotion on Discrete Terrain using Motion Libraries
Ayush Agrawal, Shuxiao Chen, Akshara Rai, Koushil Sreenath
http://arxiv.org/abs/2110.00891v1
• [cs.SD]Building a Noisy Audio Dataset to Evaluate Machine Learning Approaches for Automatic Speech Recognition Systems
Julio Cesar Duarte, Sérgio Colcher
http://arxiv.org/abs/2110.01425v1
• [cs.SD]On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis
Cheng-I Jeff Lai, Erica Cooper, Yang Zhang, Shiyu Chang, Kaizhi Qian, Yi-Lun Liao, Yung-Sung Chuang, Alexander H. Liu, Junichi Yamagishi, David Cox, James Glass
http://arxiv.org/abs/2110.01147v1
• [cs.SD]PL-EESR: Perceptual Loss Based END-TO-END Robust Speaker Representation Extraction
Yi Ma, Kong Aik Lee, Ville Hautamaki, Haizhou Li
http://arxiv.org/abs/2110.00940v1
• [cs.SE]Identifying non-natural language artifacts in bug reports
Thomas Hirsch, Birgit Hofer
http://arxiv.org/abs/2110.01336v1
• [cs.SI]A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues
A. R. Sana Ullah, Anupam Das, Anik Das, Muhammad Ashad Kabir, Kai Shu
http://arxiv.org/abs/2110.00737v1
• [cs.SI]An Efficient Procedure for Mining Egocentric Temporal Motifs
Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini
http://arxiv.org/abs/2110.01391v1
• [cs.SI]Application of Social Network Analysis in Evaluating Risk and network resilience of Closed-Loop-Supply-Chain
Sara Akbar Ghanadian, Saeed Ghanbartehrani
http://arxiv.org/abs/2110.00652v1
• [cs.SI]Do Facial Trait Correlates with Roll Call Voting in Parliament? Using fWHR to Study Performance in Politics
Rahul Goel, Tymofii Brik, Rajesh Sharma
http://arxiv.org/abs/2110.00780v1
• [cs.SI]The Cognitive Science of Extremist Ideologies Online
Chloe Perry, Simon DeDeo
http://arxiv.org/abs/2110.00626v1
• [econ.EM]Probabilistic Prediction for Binary Treatment Choice: with focus on personalized medicine
Charles F. Manski
http://arxiv.org/abs/2110.00864v1
• [eess.AS]AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
Jee-weon Jung, Hee-Soo Heo, Hemlata Tak, Hye-jin Shim, Joon Son Chung, Bong-Jin Lee, Ha-Jin Yu, Nicholas Evans
http://arxiv.org/abs/2110.01200v1
• [eess.AS]Decoupling Speaker-Independent Emotions for Voice Conversion Via Source-Filter Networks
Zhaojie Luo, Shoufeng Lin, Rui Liu, Jun Baba, Yuichiro Yoshikawa, Ishiguro Hiroshi
http://arxiv.org/abs/2110.01164v1
• [eess.AS]End-to-End Complex-Valued Multidilated Convolutional Neural Network for Joint Acoustic Echo Cancellation and Noise Suppression
Karn N. Watcharasupat, Thi Ngoc Tho Nguyen, Woon-Seng Gan, Shengkui Zhao, Bin Ma
http://arxiv.org/abs/2110.00745v1
• [eess.AS]Multi-task Voice-Activated Framework using Self-supervised Learning
Shehzeen Hussain, Van Nguyen, Shuhua Zhang, Erik Visser
http://arxiv.org/abs/2110.01077v1
• [eess.IV]Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement
Chuanjun Zheng, Daming Shi, Wentian Shi
http://arxiv.org/abs/2110.00984v1
• [eess.IV]Artificial Intelligence For Breast Cancer Detection: Trends & Directions
Shahid Munir Shah, Rizwan Ahmed Khan, Sheeraz Arif, Unaiza Sajid
http://arxiv.org/abs/2110.00942v1
• [eess.IV]Assessing glaucoma in retinal fundus photographs using Deep Feature Consistent Variational Autoencoders
Sayan Mandal, Alessandro A. Jammal, Felipe A. Medeiros
http://arxiv.org/abs/2110.01534v1
• [eess.IV]Attention module improves both performance and interpretability of 4D fMRI decoding neural network
Zhoufan Jiang, Yanming Wang, ChenWei Shi, Yueyang Wu, Rongjie Hu, Shishuo Chen, Sheng Hu, Xiaoxiao Wang, Bensheng Qiu
http://arxiv.org/abs/2110.00920v1
• [eess.IV]Blindness (Diabetic Retinopathy) Severity Scale Detection
Ramya Bygari, Rachita Naik, Uday Kumar P
http://arxiv.org/abs/2110.01333v1
• [eess.IV]Deep Kernel Representation for Image Reconstruction in PET
Siqi Li, Guobao Wang
http://arxiv.org/abs/2110.01174v1
• [eess.IV]Disarranged Zone Learning (DZL): An unsupervised and dynamic automatic stenosis recognition methodology based on coronary angiography
Yanan Dai, Pengxiong Zhu, Bangde Xue, Yun Ling, Xibao Shi, Liang Geng, Qi Zhang, Jun Liu
http://arxiv.org/abs/2110.00896v1
• [eess.IV]EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic liver segmentation in CT
Jinke Wang, Xiangyang Zhang, Peiqing Lv, Lubiao Zhou, Haiying Wang
http://arxiv.org/abs/2110.01014v1
• [eess.IV]Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans
Michelle Xiao-Lin Foo, Seong Tae Kim, Magdalini Paschali, Leili Goli, Egon Burian, Marcus Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler
http://arxiv.org/abs/2110.00948v1
• [eess.IV]Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge
Minh Q. Tran, Tuong Do, Huy Tran, Erman Tjiputra, Quang D. Tran, Anh Nguyen
http://arxiv.org/abs/2110.01293v1
• [eess.IV]Multi-view SA-LA Net: A framework for simultaneous segmentation of RV on multi-view cardiac MR Images
Sana Jabbar, Syed Talha Bukhari, Hassan Mohy-ud-Din
http://arxiv.org/abs/2110.00682v1
• [eess.IV]Synthetic Velocity Mapping Cardiac MRI Coupled with Automated Left Ventricle Segmentation
Xiaodan Xing, Yinzhe Wu, David Firmin, Peter Gatehouse, Guang Yang
http://arxiv.org/abs/2110.01304v1
• [eess.IV]Welsch Based Multiview Disparity Estimation
James L. Gray, Aous T. Naman, David S. Taubman
http://arxiv.org/abs/2110.00803v1
• [eess.SP]A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters
Victor M. Tenorio, Samuel Rey, Fernando Gama, Santiago Segarra, Antonio G. Marques
http://arxiv.org/abs/2110.00844v1
• [eess.SP]Cloud-Cluster Architecture for Detection in Intermittently Connected Sensor Networks
Michal Yemini, Stephanie Gil, Andrea J. Goldsmith
http://arxiv.org/abs/2110.01119v1
• [eess.SP]Economics of Semantic Communication System in Wireless Powered Internet of Things
Zi Qin Liew, Yanyu Cheng, Wei Yang Bryan Lim, Dusit Niyato, Chunyan Miao, Sumei Sun
http://arxiv.org/abs/2110.01423v1
• [eess.SP]Quickest Change Detection with Non-stationary and Composite Post-change Distribution
Yuchen Liang, Venugopal V. Veeravalli
http://arxiv.org/abs/2110.01581v1
• [eess.SY]Data-Driven Detection and Identification of IoT-Enabled Load-Altering Attacks in Power Grids
Subhash Lakshminarayana, Saurav Sthapit, Carsten Maple
http://arxiv.org/abs/2110.00667v1
• [eess.SY]Efficient Modeling of Morphing Wing Flight Using Neural Networks and Cubature Rules
Paul Ghanem, Yunus Bicer, Deniz Erdogmus, Alireza Ramezani
http://arxiv.org/abs/2110.01057v1
• [eess.SY]Exploration of AI-Oriented Power System Transient Stability Simulations
Tannan Xiao, Ying Chen, Jianquan Wang, Shaowei Huang, Weilin Tong, Tirui He
http://arxiv.org/abs/2110.00931v1
• [eess.SY]Implementation of MPPT Technique of Solar Module with Supervised Machine Learning
Ruhi Sharmin, Sayeed Shafayet Chowdhury, Farihal Abedin, Kazi Mujibur Rahman
http://arxiv.org/abs/2110.00728v1
• [eess.SY]Model Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges
Cosimo Della Santina, Christian Duriez, Daniela Rus
http://arxiv.org/abs/2110.01358v1
• [eess.SY]Terminal Adaptive Guidance for Autonomous Hypersonic Strike Weapons via Reinforcement Learning
Brian Gaudet, Roberto Furfaro
http://arxiv.org/abs/2110.00634v1
• [math.CO]Local Orthogonality Dimension
Inon Attias, Ishay Haviv
http://arxiv.org/abs/2110.00718v1
• [math.NA]Reconstructing group wavelet transform from feature maps with a reproducing kernel iteration
Davide Barbieri
http://arxiv.org/abs/2110.00600v1
• [math.OC]A Markov process approach to untangling intention versus execution in tennis
Timothy C. Y. Chan, Douglas S. Fearing, Craig Fernandes, Stephanie Kovalchik
http://arxiv.org/abs/2110.01527v1
• [math.OC]Maximum-Entropy Multi-Agent Dynamic Games: Forward and Inverse Solutions
Negar Mehr, Mingyu Wang, Mac Schwager
http://arxiv.org/abs/2110.01027v1
• [math.ST]Hierarchical Causal Analysis of Natural Languages on a Chain Event Graph
Xuewen Yu, Jim Q. Smith
http://arxiv.org/abs/2110.01129v1
• [math.ST]Some Statistic and Information-theoretic Results On Arithmetic Average Fusion
Tiancheng Li
http://arxiv.org/abs/2110.01440v1
• [math.ST]Volatility prediction comparison via robust volatility proxies: An empirical deviation perspective
Weichen Wang, Ran An, Ziwei Zhu
http://arxiv.org/abs/2110.01189v1
• [q-bio.GN]A mixture model for determining SARS-Cov-2 variant composition in pooled samples
Renan Valieris, Rodrigo Drummond, Alexandre Defelicibus, Emannuel Dias-Neto, Rafael A. Rosales, Israel Tojal da Silva
http://arxiv.org/abs/2110.01117v1
• [q-bio.GN]A systematic evaluation of methods for cell phenotype classification using single-cell RNA sequencing data
Xiaowen Cao, Li Xing, Elham Majd, Hua He, Junhua Gu, Xuekui Zhang
http://arxiv.org/abs/2110.00681v1
• [q-bio.QM]3D-Transformer: Molecular Representation with Transformer in 3D Space
Fang Wu, Qiang Zhang, Dragomir Radev, Jiyu Cui, Wen Zhang, Huabin Xing, Ningyu Zhang, Huajun Chen
http://arxiv.org/abs/2110.01191v1
• [q-bio.QM]Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
Soojung Yang, Doyeong Hwang, Seul Lee, Seongok Ryu, Sung Ju Hwang
http://arxiv.org/abs/2110.01219v1
• [q-bio.QM]Motif-based Graph Self-Supervised Learning forMolecular Property Prediction
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee
http://arxiv.org/abs/2110.00987v1
• [q-bio.QM]Pharmacoprint — a combination of pharmacophore fingerprint and artificial intelligence as a tool for computer-aided drug design
Dawid Warszycki, Łukasz Struski, Marek Śmieja, Rafał Kafel, Rafał Kurczab
http://arxiv.org/abs/2110.01339v1
• [quant-ph]Maximum-Likelihood Quantum State Tomography by Cover’s Method with Non-Asymptotic Analysis
Chien-Ming Lin, Hao-Chung Cheng, Yen-Huan Li
http://arxiv.org/abs/2110.00747v1
• [quant-ph]Quantum Max-Flow Min-Cut theorem
Nengkun Yu
http://arxiv.org/abs/2110.00905v1
• [quant-ph]Variational learning of quantum ground states on spiking neuromorphic hardware
Robert Klassert, Andreas Baumbach, Mihai A. Petrovici, Martin Gärttner
http://arxiv.org/abs/2109.15169v2
• [stat.AP]Longitudinal surface-based spatial Bayesian GLM reveals complex trajectories of motor neurodegeneration in ALS
Amanda F. Mejia, Vincent Koppelmans, Laura Jelsone-Swain, Sanjay Kalra, Robert C. Welsh
http://arxiv.org/abs/2110.01510v1
• [stat.AP]The Impacts of Mobility on Covid-19 Dynamics: Using Soft and Hard Data
Leonardo Martins, Marcelo C. Medeiros
http://arxiv.org/abs/2110.00597v1
• [stat.ME]A Sequential Addressing Subsampling Method for Massive Data Analysis under Memory Constraint
Rui Pan, Yingqiu Zhu, Baishan Guo, Xuening Zhu, Hansheng Wang
http://arxiv.org/abs/2110.00936v1
• [stat.ME]A causal fused lasso for interpretable heterogeneous treatment effects estimation
Oscar Hernan Madrid Padilla, Peng Ding, Yanzhen Chen, Gabriel Ruiz
http://arxiv.org/abs/2110.00901v1
• [stat.ME]A general framework for identification of permissible variable subsets in structured model selection
Guanbo Wang, Mireille E. Schnitzer, Tom Chen, Rui Wang, Robert W. Platt
http://arxiv.org/abs/2110.01031v1
• [stat.ME]A non-parametric Bayesian approach for adjusting partial compliance in sequential decision making
Indrabati Bhattacharya, Brent A. Johnson, William Artman, Andrew Wilson, Kevin G. Lynch, James R. McKay, Ashkan Ertefaie
http://arxiv.org/abs/2110.00659v1
• [stat.ME]Bayesian Model-Averaged Meta-Analysis in Medicine
František Bartoš, Quentin F. Gronau, Bram Timmers, Willem M. Otte, Alexander Ly, Eric-Jan Wagenmakers
http://arxiv.org/abs/2110.01076v1
• [stat.ME]COFFEE: COVID-19 Forecasts using Fast Evaluations and Estimation
Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus
http://arxiv.org/abs/2110.01546v1
• [stat.ME]Data Integration in Causal Inference
Xu Shi, Ziyang Pan, Wang Miao
http://arxiv.org/abs/2110.01106v1
• [stat.ME]Functional outlier detection for density-valued data with application to robustify distribution to distribution regression
Xinyi Lei, Zhicheng Chen, Hui Li
http://arxiv.org/abs/2110.00707v1
• [stat.ME]Graph-based multiple change-point detection
Yuxuan Zhang, Hao Chen
http://arxiv.org/abs/2110.01170v1
• [stat.ME]Multi-linear Tensor Autoregressive Models
Zebang Li, Han Xiao
http://arxiv.org/abs/2110.00928v1
• [stat.ME]Online Control of the False Discovery Rate under “Decision Deadlines”
Aaron Fisher
http://arxiv.org/abs/2110.01583v1
• [stat.ME]Online multiple testing with super-uniformity reward
Sebastian Döhler, Iqraa Meah, Etienne Roquain
http://arxiv.org/abs/2110.01255v1
• [stat.ME]Vector or Matrix Factor Model? A Strong Rule Helps!
Yong He, Xin-bing Kong, Lorenzo Trapani, Long Yu
http://arxiv.org/abs/2110.01008v1
• [stat.ML]Active Learning for Contextual Search with Binary Feedbacks
Chen, Xi, Liu, Quanquan, Wang, Yining
http://arxiv.org/abs/2110.01072v1
• [stat.ML]Causality and Generalizability: Identifiability and Learning Methods
Martin Emil Jakobsen
http://arxiv.org/abs/2110.01430v1
• [stat.ML]Clustering a Mixture of Gaussians with Unknown Covariance
Damek Davis, Mateo Diaz, Kaizheng Wang
http://arxiv.org/abs/2110.01602v1
• [stat.ML]DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization
Boyue Li, Zhize Li, Yuejie Chi
http://arxiv.org/abs/2110.01165v1
• [stat.ML]Factored couplings in multi-marginal optimal transport via difference of convex programming
Quang Huy Tran, Hicham Janati, Ievgen Redko, Rémi Flamary, Nicolas Courty
http://arxiv.org/abs/2110.00629v1
• [stat.ML]Generalized Kernel Thinning
Raaz Dwivedi, Lester Mackey
http://arxiv.org/abs/2110.01593v1
• [stat.ML]Hierarchical Gaussian Process Models for Regression Discontinuity/Kink under Sharp and Fuzzy Designs
Ximing Wu
http://arxiv.org/abs/2110.00921v1
• [stat.ML]Implicit Riemannian Concave Potential Maps
Danilo J. Rezende, Sébastien Racanière
http://arxiv.org/abs/2110.01288v1
• [stat.ML]Marginally calibrated response distributions for end-to-end learning in autonomous driving
Clara Hoffmann, Nadja Klein
http://arxiv.org/abs/2110.01050v1
• [stat.ML]Row-clustering of a Point Process-valued Matrix
Lihao Yin, Ganggang Xu, Huiyan Sang, Yongtao Guan
http://arxiv.org/abs/2110.01207v1
• [stat.ML]Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
Yan Sun, Wenjun Xiong, Faming Liang
http://arxiv.org/abs/2110.00653v1
• [stat.ML]Treeging
Gregory L. Watson, Michael Jerrett, Colleen E. Reid, Donatello Telesca
http://arxiv.org/abs/2110.01053v1