A Physics-Inspired Deep Learning Framework with Polar Coordinate Attention for Ptychographic Imaging


A Physics-embedded Deep Learning Framework for Cloth Simulation


A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction


A Picture Is Worth a Graph: A Blueprint Debate Paradigm for Multimodal Reasoning


A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions


A Piece-wise Polynomial Filtering Approach for Graph Neural Networks


A Pilot Study For Fragment Identification Using 2D NMR and Deep Learning


A Pilot Study for Chinese SQL Semantic Parsing


A Pilot Study of Nulling in 22 Pulsars Using Mixture Modeling


A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion


A Pilot Study of Sidewalk Equity in Seattle Using Crowdsourced Sidewalk Assessment Data


A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese


A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering


A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data


A Pitfall of Learning from User-generated Data: In-depth Analysis of Subjective Class Problem


A Pixon-Based Method for Reverberation-mapping Analysis in Active Galactic Nuclei


A Planner-Trader Decomposition for Multi-Market Hydro Scheduling


A Planning Approach to Monitoring Behavior of Computer Programs


A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency


A Plot is Worth a Thousand Tests: Assessing Residual Diagnostics with the Lineup Protocol


A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots


A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers


A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes


A Plug-and-Play Method for Controlled Text Generation


A Plug-and-Play Method for Rare Human-Object Interactions Detection by Bridging Domain Gap


A Plug-and-Play Priors Framework for Hyperspectral Unmixing


A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video Data


A PnP Algorithm for Two-Dimensional Pose Estimation


A PoW-less Bitcoin with Certified Byzantine Consensus


A Poincaré covariant cascade method for high-energy nuclear collisions


A Point Cloud Completion Approach for the Grasping of Partially Occluded Objects and Its Applications in Robotic Strawberry Harvesting


A Point Mass Proposal Method for Bayesian State-Space Model Fitting


A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment


A Polarized Temporal Network Model to Study the Spread of Recurrent Epidemic Diseases in a Partially Vaccinated Population


A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning


A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees


A Polyaddition Model for the Prebiotic Polymerization of RNA and RNA-like Polymers


A Population-Informed Mass Estimate for Pulsar J0740+6620


A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks


A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction


A Portable Parton-Level Event Generator for the High-Luminosity LHC


A Position Paper on the Automatic Generation of Machine Learning Leaderboards


A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise Supervision


A Positivity-Preserving Limiting Strategy for Locally-Implicit Lax-Wendroff Discontinuous Galerkin Methods


A Post-Training Framework for Improving Heterogeneous Graph Neural Networks


A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network Classifier


A Posteriori Single- and Multi-Goal Error Control and Adaptivity for Partial Differential Equations


A Potential Game Perspective in Federated Learning


A Potts-Mixture Spatiotemporal Joint Model for Combined MEG and EEG Data


A Powerful Genetic Algorithm for Traveling Salesman Problem


A Practical Algorithm for Knot Factorisation


A Practical Analysis of Rust's Concurrency Story


A Practical Approach to Causal Inference over Time


A Practical Calibration Method for RGB Micro-Grid Polarimetric Cameras


A Practical Dynamic Programming Approach to Datalog Provenance Computation


A Practical Fixed-Parameter Algorithm for Constructing Tree-Child Networks from Multiple Binary Trees


A Practical Framework for Unsupervised Structure Preservation Medical Image Enhancement


A Practical Guide to Implementing Off-Axis Stereo Projection Using Existing Ray Tracing Libraries


A Practical Guide to Multi-Objective Reinforcement Learning and Planning


A Practical Guide to Randomized Matrix Computations with MATLAB Implementations


A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science


A Practical Guide to Tuning Spiking Neuronal Dynamics


A Practical Incremental Learning Framework For Sparse Entity Extraction


A Practical Introduction to Regression Discontinuity Designs: Foundations


A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups


A Practical Method for Generating String Counterfactuals


A Practical Python API for Querying AFLOWLIB


A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design


A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models


A Practical Searchable Symmetric Encryption Scheme for Smart Grid Data


A Practical Tutorial on Graph Neural Networks


A Practical Two-stage Ranking Framework for Cross-market Recommendation


A Practical, Progressively-Expressive GNN


A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural Networks


A Pragmatic Guide to Geoparsing Evaluation


A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images


A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents


A Pre-trained Sequential Recommendation Framework: Popularity Dynamics for Zero-shot Transfer


A Preconditioned Interior Point Method for Support Vector Machines Using an ANOVA-Decomposition and NFFT-Based Matrix-Vector Products


A Preconditioned Version of a Nested Primal-Dual Algorithm for Image Deblurring


A Predictive Approach to Bayesian Nonparametric Survival Analysis


A Predictor-Informed Multi-Subject Bayesian Approach for Dynamic Functional Connectivity


A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation


A Preferential Attachment Model for the Stellar Initial Mass Function


A Preliminary Study for GPT-4o on Image Restoration


A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News


A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms


A Primal-Dual Solver for Large-Scale Tracking-by-Assignment


A Primal-Dual Subgradient Approachfor Fair Meta Learning


A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints


A Primal-dual hybrid gradient method for solving optimal control problems and the corresponding Hamilton-Jacobi PDEs


A Primer on Bayesian Neural Networks: Review and Debates


A Primer on Focused Solar Energetic Particle Transport: Basic physics and recent modelling results


A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives


A Primer on Near-Field Beamforming for Arrays and Reconfigurable Intelligent Surfaces


A Primer on RecoNIC: RDMA-enabled Compute Offloading on SmartNIC


A Primer on Topological Data Analysis to Support Image Analysis Tasks in Environmental Science


A Principle Solution for Enroll-Test Mismatch in Speaker Recognition


A Principle of Least Action for the Training of Neural Networks


A Principled Approach for Learning Task Similarity in Multitask Learning


A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging


A Principled Approach to Randomized Selection under Uncertainty


A Principled Design of Image Representation: Towards Forensic Tasks


A Principled Framework for Evaluating on Typologically Diverse Languages


A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks


A Priority Map for Vision-and-Language Navigation with Trajectory Plans and Feature-Location Cues


A Privacy Measure Turned Upside Down? Investigating the Use of HTTP Client Hints on the Web


A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning


A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service


A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric


A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime Detection


A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications


A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs


A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image


A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series


A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome


A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning


A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models


A Probabilistic Formulation of LiDAR Mapping with Neural Radiance Fields


A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams


A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models


A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation


A Probabilistic Framework for Lifelong Test-Time Adaptation


A Probabilistic Framework for Modular Continual Learning


A Probabilistic Framework for Mutation Testing in Deep Neural Networks


A Probabilistic Framework for Visual Localization in Ambiguous Scenes


A Probabilistic Fusion Framework for Spoofing Aware Speaker Verification


A Probabilistic Hadamard U-Net for MRI Bias Field Correction


A Probabilistic Hard Attention Model For Sequentially Observed Scenes


A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods


A Probabilistic Machine Learning Approach to Scheduling Parallel Loops with Bayesian Optimization


A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data


A Probabilistic Model Behind Self-Supervised Learning


A Probabilistic Model for Node Classification in Directed Graphs


A Probabilistic Model to Estimate Number Densities from Column Densities in Molecular Clouds


A Probabilistic Motion Model for Skid-Steer Wheeled Mobile Robot Navigation on Off-Road Terrains


A Probabilistic Perspective on Gaussian Filtering and Smoothing


A Probabilistic Perspective on Unlearning and Alignment for Large Language Models


A Probabilistic Position Bias Model for Short-Video Recommendation Feeds


A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction


A Probabilistic Representation of DNNs: Bridging Mutual Information and Generalization


A Probabilistic Transformation of Distance-Based Outliers


A Procedural World Generation Framework for Systematic Evaluation of Continual Learning


A Process Calculus for Formally Verifying Blockchain Consensus Protocols


A Production Scheduling Framework for Reinforcement Learning Under Real-World Constraints


A Profit-Maximizing Strategy for Advertising on the e-Commerce Platforms


A Programmable Approach to Neural Network Compression


A Programming Language For Quantum Oracle Construction


A Programming Model for GPU Load Balancing


A Progressive Approach to Scalar Field Topology


A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds


A Projection Approach to Local Regression with Variable-Dimension Covariates


A Projection Pursuit Forest Algorithm for Supervised Classification


A Projection-Stable Grammatical Model for the Distributed Execution of Administrative Processes with Emphasis on Actors' Views


A Prolog assisted search for new simple Lie algebras


A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning


A Prompt Learning Framework for Source Code Summarization


A Prompt Log Analysis of Text-to-Image Generation Systems


A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning


A Prompt-Engineered Large Language Model, Deep Learning Workflow for Materials Classification


A Proof of the Riemann Hypothesis Using Bombieri's Equivalence Theorem


A Propagation Perspective on Recursive Forward Dynamics for Systems with Kinematic Loops


A Property Induction Framework for Neural Language Models


A Proposal for a Unifying Theory of Dark Energy and Dark Matter


A Proposal for an Interactive Shell Based on a Typed Lambda Calculus


A Proposed Hybrid Effect Size Plus $p$-Value Criterion: A Comment on Goodman et al. (2019)


A Proposed Set of Communicative Gestures for Human Robot Interaction and an RGB Image-based Gesture Recognizer Implemented in ROS


A Protocol for Continual Explanation of SHAP


A Prototype-Based Framework to Design Scalable Heterogeneous SoCs with Fine-Grained DFS


A Prototype-Based Neural Network for Image Anomaly Detection and Localization


A Prototype-Oriented Framework for Unsupervised Domain Adaptation


A Prototypical Triplet Loss for Cover Detection


A Provably Accurate Randomized Sampling Algorithm for Logistic Regression


A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix Factorization


A Proximal Algorithm for Network Slimming


A Pseudo-Boolean Polynomials Approach for Image Edge Detection


A Pseudo-Gradient Approach for Model-free Markov Chain Optimization


A Psycholinguistic Analysis of BERT's Representations of Compounds


A Psychologically-Motivated Model of Opinion Change with Applications to American Politics


A Psychology-based Unified Dynamic Framework for Curriculum Learning


A Pub-Sub Architecture to Promote Blockchain Interoperability


A Public Dataset Tracking Social Media Discourse about the 2024 U.S. Presidential Election on Twitter/X


A Public Network Trace of a Control and Automation System


A Public and Reproducible Assessment of the Topics API on Real Data


A Pure Demand Operational Semantics with Applications to Program Analysis


A Pure Transformer Pretraining Framework on Text-attributed Graphs


A Purely Functional Computer Algebra System Embedded in Haskell


A Push-Relabel Based Additive Approximation for Optimal Transport


A Puzzle of Proportions: Two Popular Bayesian Tests Can Yield Dramatically Different Conclusions


A Puzzle-Based Dataset for Natural Language Inference


A PyTorch-Compatible Spike Encoding Framework for Energy-Efficient Neuromorphic Applications


A Python Benchmark Functions Framework for Numerical Optimisation Problems


A Python Framework Enhancement for Neutrosophic Topologies


A Python Framework for Fast Modelling and Simulation of Cellular Nonlinear Networks and other Finite-difference Time-domain Systems


A Python Framework for Neutrosophic Sets and Mappings


A Python Library For Empirical Calibration


A Python Library for Exploratory Data Analysis on Twitter Data based on Tokens and Aggregated Origin-Destination Information


A Python Package for Sampling from Copulae: clayton


A Python Tool for Reconstructing Full News Text from GDELT


A Python compressed low-$\ell$ Planck likelihood for temperature and polarization


A Python workflow definition for computational materials design


A Python-based tool for constructing observables from the DSN's closed-loop archival tracking data files


A Quadratic Actor Network for Model-Free Reinforcement Learning


A Quadratic Synchronization Rule for Distributed Deep Learning


A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems


A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC


A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19


A Qualitative Evaluation of User Preference for Link-based vs. Text-based Recommendations of Wikipedia Articles


A Qualitative and Quantitative Evaluation of 8 Clear Sky Models


A Quality Diversity Approach to Evolving Model Rockets


A Quality-based Syntactic Template Retriever for Syntactically-controlled Paraphrase Generation


A Quantile Neural Network Framework for Two-stage Stochastic Optimization


A Quantile Shift Approach To Main Effects And Interactions In A 2-By-2 Design


A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extractors


A Quantitative Discourse Analysis of Asian Workers in the US Historical Newspapers


A Quantitative Geometric Approach to Neural-Network Smoothness


A Quantitative Survey of Communication Optimizations in Distributed Deep Learning


A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals


A Quantum Algorithm for Assessing Node Importance in the st-Connectivity Attack


A Quantum Algorithm for the Sub-Graph Isomorphism Problem


A Quantum Computing Approach to Simulating Corrosion Inhibition


A Quantum Genetic Algorithm Framework for the MaxCut Problem


A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network


A Quantum Natural Language Processing Approach to Musical Intelligence


A Quantum Neural Network Regression for Modeling Lithium-ion Battery Capacity Degradation


A Quantum Router Architecture for High-Fidelity Entanglement Flows in Quantum Networks


A Quantum of QUIC: Dissecting Cryptography with Post-Quantum Insights


A Quasar Pair Catalog Compiled from DESI DR1


A Quasi-Monte Carlo Method with Krylov Linear Solvers for Multigroup Neutron Transport Simulations


A Quasi-Newton algorithm on the orthogonal manifold for NMF with transform learning


A Quasi-Stationary Approach to Metastability in a System of Spiking Neurons with Synaptic Plasticity


A Quasi-Steady-State Black Box Simulation Approach for the Generation of g-g-g-v Diagrams


A Quasi-Wasserstein Loss for Learning Graph Neural Networks


A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks


A Qubit-Efficient Variational Selected Configuration-Interaction Method


A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification


A Question-Answer Driven Approach to Reveal Affirmative Interpretations from Verbal Negations


A Question-Focused Multi-Factor Attention Network for Question Answering


A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models


A Quic(k) Security Overview: A Literature Research on Implemented Security Recommendations


A Quick Primer on Machine Learning in Wireless Communications


A Quick, trustworthy spectral knowledge Q&A system leveraging retrieval-augmented generation on LLM


A Quotient Space Formulation for Generative Statistical Analysis of Graphical Data


A RIS-Based Vehicle DOA Estimation Method With Integrated Sensing and Communication System


A RISC-V Simulator and Benchmark Suite for Designing and Evaluating Vector Architectures


A ROS multi-ontology references services: OWL reasoners and application prototyping issues


A Race Track Trapped-Ion Quantum Processor


A Ramsey apparatus for proton spins in flowing water


A Random Access Protocol for Pilot Allocation in Crowded Massive MIMO Systems


A Random Active Set Method for Strictly Convex Quadratic Problem with Simple Bounds


A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications


A Random Matrix Approach to Neural Networks


A Randomized Algorithm to Reduce the Support of Discrete Measures


A Randomized Coordinate Descent Method with Volume Sampling


A Range-Null Space Decomposition Approach for Fast and Flexible Spectral Compressive Imaging


A Rank-Based Reward between a Principal and a Field of Agents: Application to Energy Savings


A Rank-Based Sequential Test of Independence


A Rapid Test for Accuracy and Bias of Face Recognition Technology


A Rate-Distortion View of Uncertainty Quantification


A Rationale-Centric Framework for Human-in-the-loop Machine Learning


A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution


A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation


A Re-evaluation of Knowledge Graph Completion Methods


A Re-examination of Ellipticity Corrections for Seismic Phases


A ReLU Dense Layer to Improve the Performance of Neural Networks


A Reachability Index for Recursive Label-Concatenated Graph Queries


A Read-Write Memory Network for Movie Story Understanding


A Read-and-Select Framework for Zero-shot Entity Linking


A Real K3 Automorphism with Most of Its Entropy in the Real Part


A Real Time Monitoring Approach for Bivariate Event Data


A Real-Time Predictive Pedestrian Collision Warning Service for Cooperative Intelligent Transportation Systems Using 3D Pose Estimation


A Real-Time Region Tracking Algorithm Tailored to Endoscopic Video with Open-Source Implementation


A Real-Time Remote IDS Testbed for Connected Vehicles


A Real-Time Rescheduling Algorithm for Multi-robot Plan Execution


A Real-Time System for Scheduling and Managing UAV Delivery in Urban


A Real-Time Wrong-Way Vehicle Detection Based on YOLO and Centroid Tracking


A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning


A Real-World Radio Frequency Signal Dataset Based on LTE System and Variable Channels


A Real-time Global Inference Network for One-stage Referring Expression Comprehension


A Real-time Low-cost Artificial Intelligence System for Autonomous Spraying in Palm Plantations


A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis


A Realistic Protocol for Evaluation of Weakly Supervised Object Localization


A Realistic Threat Model for Large Language Model Jailbreaks


A Reasoning System for a First-Order Logic of Limited Belief


A Receding Horizon Multi-Objective Planner for Autonomous Surface Vehicles in Urban Waterways


A Recent Survey of Heterogeneous Transfer Learning


A Recipe For Building a Compliant Real Estate Chatbot


A Recipe for CAC: Mosaic-based Generalized Loss for Improved Class-Agnostic Counting


A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks


A Recipe for Learning Variably Scaled Kernels via Discontinuous Neural Networks


A Recipe for Watermarking Diffusion Models


A Recommendation Algorithm to Predict Giant Exoplanet Host Stars Using Stellar Elemental Abundances


A Recommendation and Risk Classification System for Connecting Rough Sleepers to Essential Outreach Services


A Recommender System for Scientific Datasets and Analysis Pipelines


A Recurrent Encoder-Decoder Approach with Skip-filtering Connections for Monaural Singing Voice Separation


A Recurrent Neural Network Survival Model: Predicting Web User Return Time


A Recurrent Neural Network for Sentiment Quantification


A Recursive Approach to Solving Parity Games in Quasipolynomial Time


A Recursive Bayesian Approach To Describe Retinal Vasculature Geometry


A Recursive Encoding for Cuneiform Signs


A Recursive Markov Boundary-Based Approach to Causal Structure Learning


A Recursive Network with Dynamic Attention for Monaural Speech Enhancement


A Reddit Dataset for the Russo-Ukrainian Conflict in 2022


A Reduction-based Algorithm for the Clique Interdiction Problem


A Reference Architecture for Governance of Cloud Native Applications


A Reference-free Metric for Language-Queried Audio Source Separation using Contrastive Language-Audio Pretraining


A Refining Underlying Information Framework for Monaural Speech Enhancement


A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling


A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking


A Registration- and Uncertainty-based Framework for White Matter Tract Segmentation With Only One Annotated Subject


A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership


A Regression Tree Method for Longitudinal and Clustered Data with Multivariate Responses


A Regressive Convolution Neural network and Support Vector Regression Model for Electricity Consumption Forecasting


A Regressor-Guided Graph Diffusion Model for Predicting Enzyme Mutations to Enhance Turnover Number


A Regularization-Guided Equivariant Approach for Image Restoration


A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder


A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems


A Regularized Opponent Model with Maximum Entropy Objective


A Reinforcement Learning Approach for Performance-aware Reduction in Power Consumption of Data Center Compute Nodes


A Reinforcement Learning Approach for Robotic Unloading from Visual Observations


A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic Regression


A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation


A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios


A Reinforcement Learning Environment for Mathematical Reasoning via Program Synthesis


A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systems


A Reinforcement Learning Framework for Dynamic Mediation Analysis


A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks


A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment


A Reissner-Mindlin plate formulation using symmetric Hu-Zhang elements via polytopal transformations


A Relation Spectrum Inheriting Taylor Series: Muscle Synergy and Coupling for Hand


A Relation-Oriented Clustering Method for Open Relation Extraction


A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning


A Relational Matrix Algebra and its Implementation in a Column Store


A Relational Memory-based Embedding Model for Triple Classification and Search Personalization


A Relational Program Logic with Data Abstraction and Dynamic Framing


A Relationship Between Stellar Age and Spot Coverage


A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles


A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation


A Remark on Concept Drift for Dependent Data


A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following Agents


A Remote Sensing Image Change Detection Method Integrating Layer Exchange and Channel-Spatial Differences


A Remote Sensing Image Dataset for Cloud Removal


A Renyi Quantum Null Energy Condition: Proof for Free Field Theories


A Replication Study on Measuring the Growth of Open Source


A Replication Study on Predicting Metamorphic Relations at Unit Testing Level


A Representation Learning Framework for Property Graphs


A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning


A Representative Study on Human Detection of Artificially Generated Media Across Countries


A Reproducibility Study of "IP Spoofing Detection in Inter-Domain Traffic"


A Reproducibility Study of Goldilocks: Just-Right Tuning of BERT for TAR


A Reproducibility Study of Product-side Fairness in Bundle Recommendation


A Reproducible Analysis of Sequential Recommender Systems


A Reproducible Extraction of Training Images from Diffusion Models


A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models


A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning


A Requirements-Driven Platform for Validating Field Operations of Small Uncrewed Aerial Vehicles


A ResNet is All You Need? Modeling A Strong Baseline for Detecting Referable Diabetic Retinopathy in Fundus Images


A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models


A Resource Efficient Fusion Network for Object Detection in Bird's-Eye View using Camera and Raw Radar Data


A Resource Efficient Implementation of the RESTCONF Protocol for OpenWrt Systems


A Resource for Computational Experiments on Mapudungun


A Resource-Efficient Embedded Iris Recognition System Using Fully Convolutional Networks


A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity


A Resource-Light Method for Cross-Lingual Semantic Textual Similarity


A Response Retrieval Approach for Dialogue Using a Multi-Attentive Transformer


A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models


A Restricted Latent Class Hidden Markov Model for Polytomous Responses, Polytomous Attributes, and Covariates: Identifiability and Application


A Restricted Latent Class Model with Polytomous Attributes and Respondent-Level Covariates


A Retention-Centric Framework for Continual Learning with Guaranteed Model Developmental Safety


A Retrieval-Augmented Multi-Agent Framework for Psychiatry Diagnosis


A Retrieve-and-Edit Framework for Predicting Structured Outputs


A Retrieve-and-Read Framework for Knowledge Graph Link Prediction


A Retrospective Systematic Study on Hierarchical Sparse Query Transformer-assisted Ultrasound Screening for Early Hepatocellular Carcinoma


A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning


A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms


A Revenue Function for Comparison-Based Hierarchical Clustering


A Reverse Augmented Constraint preconditioner for Lagrange multiplier methods in contact mechanics


A Reverse Mamba Attention Network for Pathological Liver Segmentation


A Review & Framework for Modeling Complex Engineered System Development Processes


A Review and Collation of Graphical Perception Knowledge for Visualization Recommendation


A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving


A Review and Efficient Implementation of Scene Graph Generation Metrics


A Review and Implementation of Object Detection Models and Optimizations for Real-time Medical Mask Detection during the COVID-19 Pandemic


A Review of 3D Reconstruction Techniques for Deformable Tissues in Robotic Surgery


A Review of Adversarial Attack and Defense for Classification Methods


A Review of Anonymization for Healthcare Data


A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models


A Review of Communicating Robot Learning during Human-Robot Interaction


A Review of Deep Learning Methods for Photoplethysmography Data


A Review of Deep Learning Techniques for Markerless Human Motion on Synthetic Datasets


A Review of Evaluation Practices of Gesture Generation in Embodied Conversational Agents


A Review of Graph Neural Networks in Epidemic Modeling


A Review of Human Evaluation for Style Transfer


A Review of In-Memory Space-Efficient Data Structures for Temporal Graphs


A Review of Large Language Models and Autonomous Agents in Chemistry


A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)


A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future


A Review of Network Inference Techniques for Neural Activation Time Series


A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels


A Review of Panoptic Segmentation for Mobile Mapping Point Clouds


A Review of Privacy Metrics for Privacy-Preserving Synthetic Data Generation


A Review of Safe Reinforcement Learning: Methods, Theory and Applications


A Review of Single-Source Deep Unsupervised Visual Domain Adaptation


A Review of Uncertainty Calibration in Pretrained Object Detectors


A Review of Vision-Language Models and their Performance on the Hateful Memes Challenge


A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark


A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning


A Review of the Long Horizon Forecasting Problem in Time Series Analysis


A Review of the Role of Causality in Developing Trustworthy AI Systems


A Review of the State-of-the-Art on Tours for Dynamic Visualization of High-dimensional Data


A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges


A Review-aware Graph Contrastive Learning Framework for Recommendation


A Rewriting Coherence Theorem with Applications in Homotopy Type Theory


A Reynolds-robust preconditioner for the Scott-Vogelius discretization of the stationary incompressible Navier-Stokes equations


A Riemann--Hilbert approach to computing the inverse spectral map for measures supported on disjoint intervals


A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures


A Riemannian Gradient Descent Method for the Least Squares Inverse Eigenvalue Problem


A Riemannian Optimization Approach for Finding the Nearest Reversible Markov Chain


A Riemannian covariance for manifold-valued data


A Riemannian optimization method to compute the nearest singular pencil


A Riemannian rank-adaptive method for higher-order tensor completion in the tensor-train format


A Riemannian rank-adaptive method for low-rank matrix completion


A Rigorous Study Of The Deep Taylor Decomposition


A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions


A Risk-Sensitive Approach to Policy Optimization


A Road Segment Prioritization Approach for Cycling Infrastructure


A Roadside Unit for Infrastructure Assisted Intersection Control of Autonomous Vehicles


A Robot Kinematics Model Estimation Using Inertial Sensors for On-Site Building Robotics


A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game


A Robotic Antenna Alignment and Tracking System for Millimeter Wave Propagation Modeling


A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual Models


A Robotic Visual Grasping Design: Rethinking Convolution Neural Network with High-Resolutions


A Robotics-Inspired Scanpath Model Reveals the Importance of Uncertainty and Semantic Object Cues for Gaze Guidance in Dynamic Scenes


A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks


A Robust Algebraic Domain Decomposition Preconditioner for Sparse Normal Equations


A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters


A Robust Anchor-based Method for Multi-Camera Pedestrian Localization


A Robust Approach to Gaussian Processes Implementation


A Robust Backpropagation-Free Framework for Images


A Robust Bayesian Method for Building Polygenic Risk Scores using Projected Summary Statistics and Bridge Prior


A Robust Bias Mitigation Procedure Based on the Stereotype Content Model


A Robust Classification Framework for Byzantine-Resilient Stochastic Gradient Descent


A Robust Classification-autoencoder to Defend Outliers and Adversaries


A Robust Cybersecurity Topic Classification Tool


A Robust Description of Hadronic Decays in Light Vector Mediator Models


A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge


A Robust Ensemble Approach to Learn From Positive and Unlabeled Data Using SVM Base Models


A Robust Filter for Marker-less Multi-person Tracking in Human-Robot Interaction Scenarios


A Robust Hot Subdwarfs Identification Method Based on Deep Learning


A Robust Image Forensic Framework Utilizing Multi-Colorspace Enriched Vision Transformer for Distinguishing Natural and Computer-Generated Images


A Robust Measure of Event Isotropy at Colliders


A Robust Model for Flux Density Calculations of Radio Halos in Galaxy Clusters: Halo-FDCA


A Robust Monotonic Single-Index Model for Skewed and Heavy-Tailed Data: A Deep Neural Network Approach Applied to Periodontal Studies


A Robust Optimization Method for Label Noisy Datasets Based on Adaptive Threshold: Adaptive-k


A Robust PPO-optimized Tabular Transformer Framework for Intrusion Detection in Industrial IoT Systems


A Robust Probability-based Joint Registration Method of Multiple Point Clouds Considering Local Consistency


A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations


A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learning


A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well


A Robust Semantics-based Watermark for Large Language Model against Paraphrasing


A Robust Spearman Correlation Coefficient Permutation Test


A Robust Super-Resolution Classifier by Nonlinear Optics


A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines


A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation


A Robust and Accurate Approach to Detect Process Drifts from Event Streams


A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition


A Robust and Efficient Visual-Inertial Initialization with Probabilistic Normal Epipolar Constraint


A Robust and Generalized Framework for Adversarial Graph Embedding


A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation


A Robust graph attention network with dynamic adjusted Graph


A Robustly Optimized Long Text to Math Models for Numerical Reasoning On FinQA


A Robustness Test for Estimating Total Effects with Covariate Adjustment


A Role-specific Guided Large Language Model for Ophthalmic Consultation Based on Stylistic Differentiation


A Room With an Overview: Towards Meaningful Transparency for the Consumer Internet of Things


A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning


A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and Retrieval


A Rotation-Invariant Framework for Deep Point Cloud Analysis


A Row-wise Algorithm for Graph Realization


A Rubik's Cube inspired approach to Clifford synthesis


A Rule Mining-Based Advanced Persistent Threats Detection System


A Rule-based Kurdish Text Transliteration System


A Runtime-Adaptive Transformer Neural Network Accelerator on FPGAs


A Runtime-Based Computational Performance Predictor for Deep Neural Network Training


A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging


A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models


A SAT Scalpel for Lattice Surgery: Representation and Synthesis of Subroutines for Surface-Code Fault-Tolerant Quantum Computing


A SAT Solver and Computer Algebra Attack on the Minimum Kochen-Specker Problem


A SAT-based Public Key Cryptography Scheme


A SAT-based approach to rigorous verification of Bayesian networks


A SDN/OpenFlow Framework for Dynamic Resource Allocation based on Bandwidth Allocation Model


A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick


A STDP-based Encoding Algorithm for Associative and Composite Data


A SUPER* Algorithm to Optimize Paper Bidding in Peer Review


A SWAT-based Reinforcement Learning Framework for Crop Management


A Saddle Point Algorithm for Robust Data-Driven Factor Model Problems


A Safe Computational Framework for Integer Programming applied to Chv\'atal's Conjecture


A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles


A Safe and Data-efficient Model-based Reinforcement Learning System for HVAC Control


A Safety Framework for Flow Decomposition Problems via Integer Linear Programming


A Saliency based Feature Fusion Model for EEG Emotion Estimation


A Saliency-Guided Street View Image Inpainting Framework for Efficient Last-Meters Wayfinding


A Sample-Driven Solving Procedure for the Repeated Reachability of Quantum CTMCs


A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks


A Sampling-Based Method for Tensor Ring Decomposition


A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs


A Sanity Check for AI-generated Image Detection


A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities


A Scalable Algorithm For Sparse Portfolio Selection


A Scalable Algorithm for Individually Fair K-means Clustering


A Scalable Approach for Facial Action Unit Classifier Training UsingNoisy Data for Pre-Training


A Scalable Approach to Estimating the Rank of High-Dimensional Data


A Scalable AutoML Approach Based on Graph Neural Networks


A Scalable Blockchain-based Smart Contract Model for Decentralized Voltage Stability Using Sharding Technique


A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching


A Scalable Communication Protocol for Networks of Large Language Models


A Scalable Data Science Platform for Healthcare and Precision Medicine Research


A Scalable Discrete-Time Survival Model for Neural Networks


A Scalable Formal Verification Methodology for Data-Oblivious Hardware


A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services


A Scalable Gradient-Based Optimization Framework for Sparse Minimum-Variance Portfolio Selection


A Scalable Hybrid Research Paper Recommender System for Microsoft Academic


A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks


A Scalable Method for Optimal Path Planning on Manifolds via a Hopf-Lax Type Formula


A Scalable Method for Readable Tree Layouts


A Scalable Multi-Layered Blockchain Architecture for Enhanced EHR Sharing and Drug Supply Chain Management


A Scalable Post-Processing Pipeline for Large-Scale Free-Space Multi-Agent Path Planning with PiBT


A Scalable Quantum Non-local Neural Network for Image Classification


A Scalable Two Stage Approach to Computing Optimal Decision Sets


A Scalable and Quantum-Accurate Foundation Model for Biomolecular Force Field via Linearly Tensorized Quadrangle Attention


A Scale-Invariant Trajectory Simplification Method for Efficient Data Collection in Videos


A Scale-out Blockchain for Value Transfer with Spontaneous Sharding


A Scale-out Decentralized Blockchain Ledger System for Web3.0


A Scaling Function for the Particle Entanglement Entropy of Fermions


A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?


A Scene-Text Synthesis Engine Achieved Through Learning from Decomposed Real-World Data


A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality


A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty


A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations


A Sea of Words: An In-Depth Analysis of Anchors for Text Data


A Search Engine for Discovery of Scientific Challenges and Directions


A Search for "New Physics'' "Beyond the Standard Model'' in Open Data with Machine Learning


A Search for Dark Matter Annihilation in Galaxy Groups


A Search for Gravitational Waves from Binary Mergers with a Single Observatory


A Search for Low-Mass Neutron Stars in the Third Observing Run of Advanced LIGO and Virgo


A Search-Based Framework for Automatic Generation of Testing Environments for Cyber-Physical Systems


A Search-Based Testing Approach for Deep Reinforcement Learning Agents


A Second Order Derivatives based Approach for Steganography


A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance


A Second-Order Approach to Learning with Instance-Dependent Label Noise


A Secure Mobile Authentication Alternative to Biometrics


A Seismologically Consistent Surface Rupture Length Model for Unbounded and Width-Limited Event


A Selection of Distributions and Their Fourier Transforms with Applications in Magnetic Resonance Imaging


A Self-Attention Network based Node Embedding Model


A Self-Attentive Emotion Recognition Network


A Self-Consistent Treatment of the Line-Driving Radiation Force for Active Galactic Nuclei Outflows: New Prescriptions for Simulations


A Self-Correcting Sequential Recommender


A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation


A Self-Explainable Heterogeneous GNN for Relational Deep Learning


A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography


A Self-Supervised Descriptor for Image Copy Detection


A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification


A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like Vehicles Maneuvering in Urban Environment


A Self-Supervised Miniature One-Shot Texture Segmentation (MOSTS) Model for Real-Time Robot Navigation and Embedded Applications


A Self-Supervised Model for Multi-modal Stroke Risk Prediction


A Self-Supervised Robotic System for Autonomous Contact-Based Spatial Mapping of Semiconductor Properties


A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds


A Self-Training Framework Based on Multi-Scale Attention Fusion for Weakly Supervised Semantic Segmentation


A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction


A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection


A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency


A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictions


A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs


A Self-supervised Representation Learning of Sentence Structure for Authorship Attribution


A Semantic Invariant Robust Watermark for Large Language Models


A Semantic Loss Function for Deep Learning with Symbolic Knowledge


A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings


A Semantic Proof of Generalised Cut Elimination for Deep Inference


A Semantic Schema for Data Quality Management in a Multi-Tenant Data Platform


A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery


A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching


A Semantic-Aware and Multi-Guided Network for Infrared-Visible Image Fusion


A Semantically Enriched Dataset based on Biomedical NER for the COVID19 Open Research Dataset Challenge


A Semi-Analytical Model for Stellar Evolution in AGN Disks


A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems


A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators


A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps


A Semi-Supervised Adaptive Discriminative Discretization Method Improving Discrimination Power of Regularized Naive Bayes


A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines


A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-By-Humming Task


A Semi-Supervised Self-Organizing Map for Clustering and Classification


A Semi-Supervised Self-Organizing Map with Adaptive Local Thresholds


A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems


A Semi-supervised Framework for Image Captioning


A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues


A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint


A Semidefinite Programming-Based Branch-and-Cut Algorithm for Biclustering


A Semidefinite Relaxation Approach for Fair Graph Clustering


A Semiparametric Gaussian Mixture Model for Chest CT-based 3D Blood Vessel Reconstruction


A Semiparametric Instrumented Difference-in-Differences Approach to Policy Learning


A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction


A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative Learning


A Sentence Cloze Dataset for Chinese Machine Reading Comprehension


A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance


A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings


A SentiWordNet Strategy for Curriculum Learning in Sentiment Analysis


A Sentiment Analysis Dataset for Code-Mixed Malayalam-English


A Sentiment Consolidation Framework for Meta-Review Generation


A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning


A Separable Self-attention Inspired by the State Space Model for Computer Vision


A Sequence-Based Mesh Classifier for the Prediction of Protein-Protein Interactions


A Sequence-to-Sequence Approach to Dialogue State Tracking


A Sequence-to-Sequence&Set Model for Text-to-Table Generation


A Sequence-to-Set Network for Nested Named Entity Recognition


A Sequential Convex Programming Approach to Solving Quadratic Programs and Optimal Control Problems with Linear Complementarity Constraints


A Sequential Framework for Detection and Classification of Abnormal Teeth in Panoramic X-rays


A Sequential Global Programming Approach for Two-scale Optimization of Homogenized Multiphysics Problems with Application to Biot Porous Media


A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing


A Sequentially Fair Mechanism for Multiple Sensitive Attributes


A Set of Recommendations for Assessing Human-Machine Parity in Language Translation


A Set of Tutorials for the LAMMPS Simulation Package


A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis


A Shadowcasting-Based Next-Best-View Planner for Autonomous 3D Exploration


A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning


A Shapley Value Estimation Speedup for Efficient Explainable Quantum AI


A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems


A Shared Encoder Approach to Multimodal Representation Learning


A Sharpness Based Loss Function for Removing Out-of-Focus Blur


A Sherman--Morrison--Woodbury approach to solving least squares problems with low-rank updates


A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts


A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism


A Short Survey of Viewing Large Language Models in Legal Aspect


A Short Survey on Business Models of Decentralized Finance (DeFi) Protocols


A Showcase of the Use of Autoencoders in Feature Learning Applications


A Siamese-based Verification System for Open-set Architecture Attribution of Synthetic Images


A Side-channel Analysis of Sensor Multiplexing for Covert Channels and Application Profiling on Mobile Devices


A Signal Propagation Perspective for Pruning Neural Networks at Initialization


A Signal-Centric Perspective on the Evolution of Symbolic Communication


A Silver Standard Corpus of Human Phenotype-Gene Relations


A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View


A Similarity Measure for Material Appearance


A Simple Adaptive Unfolding Network for Hyperspectral Image Reconstruction


A Simple Adjustment for Bandwidth Snooping


A Simple Aerial Detection Baseline of Multimodal Language Models


A Simple Algorithm for Minimum Cuts in Near-Linear Time


A Simple Algorithm for Scalable Monte Carlo Inference


A Simple And Effective Filtering Scheme For Improving Neural Fields


A Simple Approach for Local and Global Variable Importance in Nonlinear Regression Models


A Simple Approach to Automated Spectral Clustering


A Simple Approach to Case-Based Reasoning in Knowledge Bases


A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous Racing


A Simple Approach to Multilingual Polarity Classification in Twitter


A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models


A Simple Baseline for Low-Budget Active Learning


A Simple Baseline for Multi-Camera 3D Object Detection


A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformers


A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation


A Simple Baseline for Video Restoration with Grouped Spatial-temporal Shift


A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning


A Simple Baseline to Semi-Supervised Domain Adaptation for Machine Translation


A Simple Cache Model for Image Recognition


A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration


A Simple Decentralized Cross-Entropy Method


A Simple Detector with Frame Dynamics is a Strong Tracker


A Simple Domain Shifting Networkfor Generating Low Quality Images


A Simple Dynamization of Trapezoidal Point Location in Planar Subdivisions


A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models


A Simple Ensemble Strategy for LLM Inference: Towards More Stable Text Classification


A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation


A Simple Framework for 3D Lensless Imaging with Programmable Masks


A Simple Framework for Multi-mode Spatial-Temporal Data Modeling


A Simple Framework for Open-Vocabulary Segmentation and Detection


A Simple Graph Contrastive Learning Framework for Short Text Classification


A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation


A Simple Image Segmentation Framework via In-Context Examples


A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis


A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis


A Simple Language Model for Task-Oriented Dialogue


A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting


A Simple Linear-Time Algorithm for the Common Refinement of Rooted Phylogenetic Trees on a Common Leaf Set


A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image Deblurring


A Simple Long-Tailed Recognition Baseline via Vision-Language Model


A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models


A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging


A Simple Method for 5G Positioning and Synchronization without Line-of-Sight


A Simple Method for Convex Optimization in the Oracle Model


A Simple Method for Predicting Covariance Matrices of Financial Returns


A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels


A Simple Model for Subject Behavior in Subjective Experiments


A Simple Model to Estimate Sharing Effects in Social Networks


A Simple Pipeline for Orthogonal Graph Drawing


A Simple Quantum Blockmodeling with Qubits and Permutations


A Simple Recipe for Language-guided Domain Generalized Segmentation


A Simple Recurrent Unit with Reduced Tensor Product Representations


A Simple Reservoir Model of Working Memory with Real Values


A Simple Semi-Supervised Learning Framework for Object Detection


A Simple Solution for Homomorphic Evaluation on Large Intervals


A Simple Sparse Matrix Vector Multiplication Approach to Padded Convolution


A Simple Standard for Sharing Ontological Mappings (SSSOM)


A Simple Structure For Building A Robust Model


A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge Graphs


A Simple Text to Video Model via Transformer


A Simple Transformer-Based Model for Ego4D Natural Language Queries Challenge


A Simple Yet Effective Approach for Diversified Session-Based Recommendation


A Simple Yet Effective Approach to Robust Optimization Over Time


A Simple Yet Effective Corpus Construction Framework for Indonesian Grammatical Error Correction


A Simple Yet Effective SVD-GCN for Directed Graphs


A Simple and Correct Even-Odd Algorithm for the Point-in-Polygon Problem for Complex Polygons


A Simple and Effective $L_2$ Norm-Based Strategy for KV Cache Compression


A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification


A Simple and Effective Baseline for Attentional Generative Adversarial Networks


A Simple and Effective Framework for Pairwise Deep Metric Learning


A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning


A Simple and Effective Pruning Approach for Large Language Models


A Simple and Efficient Approach to Batch Bayesian Optimization


A Simple and Efficient Baseline for Data Attribution on Images


A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding


A Simple and Efficient Pipeline to Build an End-to-End Spatial-Temporal Action Detector


A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging


A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis


A Simple and Explainable Model for Park-and-Ride Car Park Occupancy Prediction


A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires


A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation


A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers


A Simple and Scalable Representation for Graph Generation


A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing


A Simple and Universal Rotation Equivariant Point-cloud Network


A Simple and Yet Fairly Effective Defense for Graph Neural Networks


A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction


A Simple but Effective Bidirectional Framework for Relational Triple Extraction


A Simple but Effective Closed-form Solution for Extreme Multi-label Learning


A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models


A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video Diffusion Models for Joint Generation


A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation


A Simple yet Brisk and Efficient Active Learning Platform for Text Classification


A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer


A Simple yet Effective Method for Graph Classification


A Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detection


A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction


A Simple yet Effective Self-Debiasing Framework for Transformer Models


A Simple, Solid, and Reproducible Baseline for Bridge Bidding AI


A Simple, Statistically Robust Test of Discrimination


A Simpler Approach for Monotone Parametric Minimum Cut: Finding the Breakpoints in Order


A Simplified Description of Fuzzy TOPSIS


A Simplified Framework for Air Route Clustering Based on ADS-B Data


A Simulated Annealing based Inexact Oracle for Wasserstein Loss Minimization


A Simulation Algorithm for Brownian Dynamics on Complex Curved Surfaces


A Simulation Driven Deep Learning Approach for Separating Mergers and Star Forming Galaxies: The Formation Histories of Clumpy Galaxies in all the CANDELS Fields


A Simulation Environment for the Neuroevolution of Ant Colony Dynamics


A Simulation Preorder for Koopman-like Lifted Control Systems


A Simulation System Towards Solving Societal-Scale Manipulation


A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive Control


A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping


A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification


A Single Motor Nano Aerial Vehicle with Novel Peer-to-Peer Communication and Sensing Mechanism


A Single Particle Model with Electrolyte and Side Reactions for degradation of lithium-ion batteries


A Single Simple Patch is All You Need for AI-generated Image Detection


A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection


A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes


A Single-shot-per-pose Camera-Projector Calibration System For Imperfect Planar Targets


A Sinkhorn-Newton method for entropic optimal transport


A Situation-aware Enhancer for Personalized Recommendation


A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation


A Skeleton-Based Topological Planner for Exploration in Complex Unknown Environments


A Skeleton-aware Graph Convolutional Network for Human-Object Interaction Detection


A Skeleton-based Approach For Rock Crack Detection Towards A Climbing Robot Application


A Sketch-Based Neural Model for Generating Commit Messages from Diffs


A Sketch-Based System for Semantic Parsing


A Skew-Sensitive Evaluation Framework for Imbalanced Data Classification


A Skull-Adaptive Framework for AI-Based 3D Transcranial Focused Ultrasound Simulation


A Slicing-Based Approach for Detecting and Patching Vulnerable Code Clones


A Sliding Layer Merging Method for Efficient Depth-Wise Pruning in LLMs


A Sliding-Window Approach to Automatic Creation of Meeting Minutes


A Slightly Lifted Convex Relaxation for Nonconvex Quadratic Programming with Ball Constraints


A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots


A Small and Fast BERT for Chinese Medical Punctuation Restoration


A Smooth Binary Mechanism for Efficient Private Continual Observation


A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty


A Smooth Sea Never Made a Skilled $\texttt{SAILOR}$: Robust Imitation via Learning to Search


A Smoother Way to Train Structured Prediction Models


A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning


A Snoring Sound Dataset for Body Position Recognition: Collection, Annotation, and Analysis


A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?


A Sobering Assessment of Small-Molecule Force Field Methods for Low Energy Conformer Predictions


A Social Robot with Inner Speech for Dietary Guidance


A Softmax-free Loss Function Based on Predefined Optimal-distribution of Latent Features for Deep Learning Classifier


A Software Simulator for Noisy Quantum Circuits


A Software-Defined Channel Sounder for Industrial Environments with Fast Time Variance


A Solution for a Fundamental Problem of 3D Inference based on 2D Representations


A Solution to the Generalized ROS Hardware IO Problem -- A Generic Modbus/TCP Device Driver for PLCs, Sensors and Actuators


A Solution to the Ill-Conditioning of Gradient-Enhanced Covariance Matrices for Gaussian Processes


A Solution-based LLM API-using Methodology for Academic Information Seeking


A Solver-Free Framework for Scalable Learning in Neural ILP Architectures


A Somewhat Robust Image Watermark against Diffusion-based Editing Models


A Sommerfeld Toolbox for Colored Dark Sectors


A Sound Algorithm for Asynchronous Session Subtyping and its Implementation


A Space-Efficient Algebraic Approach to Robotic Motion Planning


A Span Selection Model for Semantic Role Labeling


A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition


A Span-Extraction Dataset for Chinese Machine Reading Comprehension


A Span-based Linearization for Constituent Trees


A Span-level Bidirectional Network for Aspect Sentiment Triplet Extraction


A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation


A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction


A Sparse Model-inspired Deep Thresholding Network for Exponential Signal Reconstruction -- Application in Fast Biological Spectroscopy


A Sparse and Locally Coherent Morphable Face Model for Dense Semantic Correspondence Across Heterogeneous 3D Faces


A Sparsity Principle for Partially Observable Causal Representation Learning


A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging


A Spatial Relationship Aware Dataset for Robotics


A Spatial-Spectral and Temporal Dual Prototype Network for Motor Imagery Brain-Computer Interface


A Spatial-Temporal Graph Neural Network Framework for Automated Software Bug Triaging


A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images using Inaccurate Annotations


A Spatially Non-stationary Fading Channel Model for Simulation and (Semi-) Analytical Study of ELAA-MIMO


A Spatially Separable Attention Mechanism for massive MIMO CSI Feedback


A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology


A Spatio-Temporal Dirichlet Process Mixture Model on Linear Networks for Crime Data


A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios


A Spatio-Temporal Multilayer Perceptron for Gesture Recognition


A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior


A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction


A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos


A Spatio-temporal Transformer for 3D Human Motion Prediction


A Spatiotemporal Deep Neural Network for Fine-Grained Multi-Horizon Wind Prediction


A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition


A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image


A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs


A Spectral Approach for Quasinormal Frequencies of Noncommutative Geometry-inspired Wormholes


A Spectral Diffusion Prior for Hyperspectral Image Super-Resolution


A Spectral Library and Method for Sparse Unmixing of Hyperspectral Images in Fluorescence Guided Resection of Brain Tumors


A Spectral Method for Assessing and Combining Multiple Data Visualizations


A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization


A Spectral Method for Stable Bispectrum Inversion with Application to Multireference Alignment


A Spectral Method to Compute the Tides of Laterally-Heterogeneous Bodies


A Spectral Theory of Neural Prediction and Alignment


A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification


A Spectral-based Physics-informed Finite Operator Learning for Prediction of Mechanical Behavior of Microstructures


A Speech Representation Anonymization Framework via Selective Noise Perturbation


A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling


A Spiking Neural Network (SNN) for detecting High Frequency Oscillations (HFOs) in the intraoperative ECoG


A Spiral into the Mind: Gaze Spiral Visualization for Mobile Eye Tracking


A Spitting Image: Modular Superpixel Tokenization in Vision Transformers


A Splicing Approach to Best Subset of Groups Selection


A Split Fast Fourier Transform Algorithm for Block Toeplitz Matrix-Vector Multiplication


A Split-and-Recombine Approach for Follow-up Query Analysis


A Split-then-Join Approach to Abstractive Summarization for Very Long Documents in a Low Resource Setting


A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning


A Stable Variational Autoencoder for Text Modelling


A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks


A Stackelberg Game Approach for Signal Temporal Logic Control Synthesis with Uncontrollable Agents


A Stackelberg Game Approach to Control the Overall Load Consumption of a Residential Neighborhood


A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19


A Standard Grammar for Temporal Logics on Finite Traces


A Standard Rigid Transformation Notation Convention for Robotics Research


A Standardization Procedure to Incorporate Variance Partitioning Based Priors in Latent Gaussian Models


A Standardized Framework for Collecting Graduate Student Input in Faculty Searches


A Standardized Framework for Sensor Placement in Human Motion Capture and Wearable Applications


A State-Space Perspective on Modelling and Inference for Online Skill Rating


A State-Vector Framework for Dataset Effects


A State-of-the-practice Release-readiness Checklist for Generative AI-based Software Products


A Static Analysis Platform for Investigating Security Trends in Repositories


A Static Analyzer for Detecting Tensor Shape Errors in Deep Neural Network Training Code


A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data


A Statistical Analysis of Summarization Evaluation Metrics using Resampling Methods


A Statistical Analysis of the COHERENT Data and Applications to New Physics


A Statistical Approach for Synthetic EEG Data Generation


A Statistical Approach to Assessing Neural Network Robustness


A Statistical Evaluation of Indoor LoRaWAN Environment-Aware Propagation for 6G: MLR, ANOVA, and Residual Distribution Analysis


A Statistical Framework for Domain Shape Estimation in Stokes Flows


A Statistical Framework for Low-bitwidth Training of Deep Neural Networks


A Statistical Framework for Ranking LLM-Based Chatbots


A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules


A Statistical Investigation of Long Memory in Language and Music


A Statistical Learning View of Simple Kriging


A Statistical Model of Word Rank Evolution


A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices


A Statistical Theory of Contrastive Pre-training and Multimodal Generative AI


A Statistical View of Column Subset Selection


A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling


A Statutory Article Retrieval Dataset in French


A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning


A Stein Goodness of fit Test for Exponential Random Graph Models


A Stellar Activity F-statistic for Exoplanet Surveys (SAFE)


A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems


A Step Closer to Comprehensive Answers: Constrained Multi-Stage Question Decomposition with Large Language Models


A Step Toward Model Comparison: Connecting Electroweak-Scale Observables to BSM through EFT and Bayesian Statistics


A Step Toward Quantifying Independently Reproducible Machine Learning Research


A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset


A Step towards Computational Derived Algebraic Geometry: The RepHomology Package For Macaulay2


A Stiff MOL Boundary Control Problem for the 1D Heat Equation with Exact Discrete Solution


A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration


A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs


A Stochastic ADMM Algorithm for Large-Scale Ptychography with Weighted Difference of Anisotropic and Isotropic Total Variation


A Stochastic Alternating Balance $k$-Means Algorithm for Fair Clustering


A Stochastic Approximation Approach for Efficient Decentralized Optimization on Random Networks


A Stochastic Biofilm Disruption Model based on Quorum Sensing Mimickers


A Stochastic Bundle Method for Interpolating Networks


A Stochastic Conceptual Model for the Coupled ENSO and MJO


A Stochastic Game Framework for Efficient Energy Management in Microgrid Networks


A Stochastic Geometry Based Techno-Economic Analysis of RIS-Assisted Cellular Networks


A Stochastic Gradient Relational Event Additive Model for modelling US patent citations from 1976 until 2022


A Stochastic Optimization Framework for Fair Risk Minimization


A Stochastic Optimization Framework for Private and Fair Learning From Decentralized Data


A Stochastic Proximal Method for Nonsmooth Regularized Finite Sum Optimization


A Stochastic Variance-Reduced Coordinate Descent Algorithm for Learning Sparse Bayesian Network from Discrete High-Dimensional Data


A Storytelling Robot managing Persuasive and Ethical Stances via ACT-R: an Exploratory Study


A Straightforward Framework For Video Retrieval Using CLIP


A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis


A Strategy for Label Alignment in Deep Neural Networks


A Strategy for an Uncompromising Incremental Learner


A Streaming Algorithm for Graph Clustering


A Streaming Approach For Efficient Batched Beam Search


A Streamlined Encoder/Decoder Architecture for Melody Extraction


A Strong Baseline for Generalized Few-Shot Semantic Segmentation


A Strong Baseline for Point Cloud Registration via Direct Superpoints Matching


A Strong Baseline for Query Efficient Attacks in a Black Box Setting


A Strong Baseline for Vehicle Re-Identification


A Strong Gravitational Lens Is Worth a Thousand Dark Matter Halos: Inference on Small-Scale Structure Using Sequential Methods


A Strong and Simple Deep Learning Baseline for BCI MI Decoding


A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models


A Strongly-Labelled Polyphonic Dataset of Urban Sounds with Spatiotemporal Context


A Structural Causal Model for MR Images of Multiple Sclerosis


A Structural Model for Contextual Code Changes


A Structural Model of Business Card Exchange Networks


A Structural Text-Based Scaling Model for Analyzing Political Discourse


A Structural-Clustering Based Active Learning for Graph Neural Networks


A Structurally Coherent Spatial Phase Estimate


A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation


A Structure-Guided Diffusion Model for Large-Hole Image Completion


A Structured Dictionary Perspective on Implicit Neural Representations


A Structured Optimal Controller for Irrigation Networks


A Structured Prediction Approach for Label Ranking


A Structured Unplugged Approach for Foundational AI Literacy in Primary Education


A Study On Data Augmentation In Voice Anti-Spoofing


A Study in Improving BLEU Reference Coverage with Diverse Automatic Paraphrasing


A Study in Zucker: Insights on Interactions Between Humans and Small Service Robots


A Study into Echocardiography View Conversion


A Study into patient similarity through representation learning from medical records


A Study into the similarity in generator and discriminator in GAN architecture


A Study of Automatic Metrics for the Evaluation of Natural Language Explanations


A Study of Bayesian Neural Network Surrogates for Bayesian Optimization


A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning


A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition


A Study of Generative Large Language Model for Medical Research and Healthcare


A Study of Gradient Variance in Deep Learning


A Study of Implicit Ranking Unfairness in Large Language Models


A Study of In-Context-Learning-Based Text-to-SQL Errors


A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and English


A Study of Multimodal Person Verification Using Audio-Visual-Thermal Data


A Study of Multiple Molecular Lines at the 3 mm Band toward Gas Infalling Sources


A Study of Nationality Bias in Names and Perplexity using Off-the-Shelf Affect-related Tweet Classifiers


A Study of Performance of Optimal Transport


A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning


A Study of Reinforcement Learning for Neural Machine Translation


A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI


A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs


A Study of Synchronization Methods for Concurrent Size


A Study of Undefined Behavior Across Foreign Function Boundaries in Rust Libraries


A Study of a Genetic Algorithm for Polydisperse Spray Flames


A Study of the Attention Abnormality in Trojaned BERTs


A Study of the Magnetic Activity and Variability of GJ 436


A Study of the Probability Distribution of the Balls in Bins Process with Power Law Feedback


A Study on Broadcast Networks for Music Genre Classification


A Study on Domain Generalization for Failure Detection through Human Reactions in HRI


A Study on Encodings for Neural Architecture Search


A Study on Incorporating Whisper for Robust Speech Assessment


A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models


A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of Things


A Study on Learning Social Robot Navigation with Multimodal Perception


A Study on Scaling Up Multilingual News Framing Analysis


A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy


A Study on the Calibration of In-context Learning


A Study on the Evaluation of Generative Models


A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation


A Stylometric Inquiry into Hyperpartisan and Fake News


A Sub-Character Architecture for Korean Language Processing


A Subclass of Mu-Calculus with the Freeze Quantifier Equivalent to Buchi Register Automata


A Subjective Dataset for Multi-Screen Video Streaming Applications


A Subsampling Based Neural Network for Spatial Data


A Subsequence Interleaving Model for Sequential Pattern Mining


A Subspace Method for Time Series Anomaly Detection in Cyber-Physical Systems


A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion


A Substrate Scheduler for Compiling Arbitrary Fault-tolerant Graph States


A Super-Localized Generalized Finite Element Method


A Supervised Approach To The Interpretation Of Imperative To-Do Lists


A Supervised Approach to Extractive Summarisation of Scientific Papers


A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition


A Supervised Learning Methodology for Real-Time Disguised Face Recognition in the Wild


A Supervised Machine Learning Approach for Accelerating the Design of Particulate Composites: Application to Thermal Conductivity


A Supervised Machine Learning Approach for Assessing Grant Peer Review Reports


A Supervisory Control Algorithm Based on Property-Directed Reachability


A Surface Geometry Model for LiDAR Depth Completion


A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text


A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees


A Surprisingly Simple yet Effective Multi-Query Rewriting Method for Conversational Passage Retrieval


A Survey On (Stochastic Fractal Search) Algorithm


A Survey and Analysis of Evolutionary Operators for Permutations


A Survey and Annotated Bibliography of Workflow Scheduling in Computing Infrastructures: Community, Keyword, and Article Reviews -- Extended Technical Report


A Survey and Implementation of Performance Metrics for Self-Organized Maps


A Survey of Advanced Computer Vision Techniques for Sports


A Survey of Artificial Intelligence in Gait-Based Neurodegenerative Disease Diagnosis


A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends


A Survey of Automatic Generation of Attack Trees and Attack Graphs


A Survey of Camouflaged Object Detection and Beyond


A Survey of Datasets for Information Diffusion Tasks


A Survey of Deep Causal Models and Their Industrial Applications


A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact Removal


A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource


A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation


A Survey of Deep Learning Models for Structural Code Understanding


A Survey of Deep Learning for Mathematical Reasoning


A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond


A Survey of Embodied Learning for Object-Centric Robotic Manipulation


A Survey of Evaluation Methods and Measures for Interpretable Machine Learning


A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning


A Survey of Financial AI: Architectures, Advances and Open Challenges


A Survey of Fuzzing Open-Source Operating Systems


A Survey of General Relativistic Magnetohydrodynamic Models for Black Hole Accretion Systems


A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation


A Survey of Graph Meets Large Language Model: Progress and Future Directions


A Survey of Graph Neural Networks for Social Recommender Systems


A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models


A Survey of Hallucination in Large Foundation Models


A Survey of Historical Learning: Learning Models with Learning History


A Survey of Human Activity Recognition Using WiFi CSI


A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions


A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration


A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal


A Survey of Knowledge Tracing: Models, Variants, and Applications


A Survey of Label-Efficient Deep Learning for 3D Point Clouds


A Survey of Label-noise Representation Learning: Past, Present and Future


A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval


A Survey of Large Language Models Attribution


A Survey of Large Language Models for Graphs


A Survey of Large Language Models in Finance (FinLLMs)


A Survey of Large Language Models in Medicine: Progress, Application, and Challenge


A Survey of Medical Vision-and-Language Applications and Their Techniques


A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability


A Survey of Multimodal Composite Editing and Retrieval


A Survey of Multimodal Large Language Model from A Data-centric Perspective


A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Models


A Survey of Orthogonal Moments for Image Representation: Theory, Implementation, and Evaluation


A Survey of Pathology Foundation Model: Progress and Future Directions


A Survey of Personalization: From RAG to Agent


A Survey of Pipeline Tools for Data Engineering


A Survey of Pre-trained Language Models for Processing Scientific Text


A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications


A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures


A Survey of Reasoning with Foundation Models


A Survey of Resource-efficient LLM and Multimodal Foundation Models


A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations


A Survey of Self-Supervised and Few-Shot Object Detection


A Survey of Source Code Search: A 3-Dimensional Perspective


A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications


A Survey of Syntactic Modelling Structures in Biomedical Ontologies


A Survey of Table Reasoning with Large Language Models


A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?


A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model


A Survey of Unsupervised Deep Domain Adaptation


A Survey of Video Datasets for Grounded Event Understanding


A Survey of Wireless Sensing Security from a Role-Based View: Victim, Weapon, and Shield


A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and Beyond


A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends


A Survey on Approximate Multiplier Designs for Energy Efficiency: From Algorithms to Circuits


A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges


A Survey on Automated Log Analysis for Reliability Engineering


A Survey on Automated Program Repair Techniques


A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook


A Survey on Benchmarks of Multimodal Large Language Models


A Survey on Bundle Recommendation: Methods, Applications, and Challenges


A Survey on Causal Inference for Recommendation


A Survey on Causal Representation Learning and Future Work for Medical Image Analysis


A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application


A Survey on Contribution Evaluation in Vertical Federated Learning


A Survey on Data Augmentation in Large Model Era


A Survey on Data Quality Dimensions and Tools for Machine Learning


A Survey on Data Selection for LLM Instruction Tuning


A Survey on Data Selection for Language Models


A Survey on Data-driven Software Vulnerability Assessment and Prioritization


A Survey on Deep Generative 3D-aware Image Synthesis


A Survey on Deep Learning Technique for Video Segmentation


A Survey on Deep Learning based Channel Estimation in Doubly Dispersive Environments


A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence


A Survey on Deep Learning for Skin Lesion Segmentation


A Survey on Deep Learning for Theorem Proving


A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal


A Survey on Deep Multi-modal Learning for Body Language Recognition and Generation


A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations


A Survey on Deep Stereo Matching in the Twenties


A Survey on Detection of LLMs-Generated Content


A Survey on Diffusion Models for Anomaly Detection


A Survey on Diffusion Models for Recommender Systems


A Survey on Diffusion Models for Time Series and Spatio-Temporal Data


A Survey on Domain Generalization for Medical Image Analysis


A Survey on Efficient Vision-Language Models


A Survey on Evaluation of Large Language Models


A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges


A Survey on Facial Expression Recognition of Static and Dynamic Emotions


A Survey on Federated Fine-tuning of Large Language Models


A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges


A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot


A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends


A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection


A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research


A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions


A Survey on Hallucination in Large Vision-Language Models


A Survey on Hardware Accelerators for Large Language Models


A Survey on Human Interaction Motion Generation


A Survey on Image-text Multimodal Models


A Survey on Incomplete Multi-view Clustering


A Survey on Industrial Anomalies Synthesis


A Survey on Inference Engines for Large Language Models: Perspectives on Optimization and Efficiency


A Survey on Inference Optimization Techniques for Mixture of Experts Models


A Survey on Interpretable Cross-modal Reasoning


A Survey on Knowledge Distillation of Large Language Models


A Survey on LLM Inference-Time Self-Improvement


A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions


A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application


A Survey on Large Language Model Acceleration based on KV Cache Management


A Survey on Large Language Model based Autonomous Agents


A Survey on Large Language Model based Human-Agent Systems


A Survey on Large Language Model-Based Game Agents


A Survey on Large Language Models for Code Generation


A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law


A Survey on Large Language Models for Software Engineering


A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations


A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers


A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration


A Survey on LoRA of Large Language Models


A Survey on Machine Learning Solutions for Graph Pattern Extraction


A Survey on Mathematical Reasoning and Optimization with Large Language Models


A Survey on Mixup Augmentations and Beyond


A Survey on Modern Code Review: Progresses, Challenges and Opportunities


A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation


A Survey on Multilingual Mental Disorders Detection from Social Media Data


A Survey on Multimodal Benchmarks: In the Era of Large AI Models


A Survey on Multimodal Large Language Models for Autonomous Driving


A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions


A Survey on Natural Language Counterfactual Generation


A Survey on Neural Topic Models: Methods, Applications, and Challenges


A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond


A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning


A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective


A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems


A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future


A Survey on Point-of-Interest Recommendations Leveraging Heterogeneous Data


A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications


A Survey on Programmatic Weak Supervision


A Survey on Protein Representation Learning: Retrospect and Prospect


A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Anomaly Detection


A Survey on Rain Removal from Video and Single Image


A Survey on Remote Sensing Foundation Models: From Vision to Multimodality


A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots


A Survey on Role-Oriented Network Embedding


A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective


A Survey on Self-Supervised Learning for Non-Sequential Tabular Data


A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends


A Survey on Sentence Embedding Models Performance for Patent Analysis


A Survey on Spoken Language Understanding: Recent Advances and New Frontiers


A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects


A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?


A Survey on Text-guided 3D Visual Grounding: Elements, Recent Advances, and Future Directions


A Survey on Time-Series Pre-Trained Models


A Survey on Transferability of Adversarial Examples across Deep Neural Networks


A Survey on Trustworthy LLM Agents: Threats and Countermeasures


A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications


A Survey on Vision-Language-Action Models for Autonomous Driving


A Survey on Vision-Language-Action Models for Embodied AI


A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective


A Survey on World Models Grounded in Acoustic Physical Information


A Survey on the Application of Large Language Models in Scenario-Based Testing of Automated Driving Systems


A Survey on the Honesty of Large Language Models


A Survey on the Memory Mechanism of Large Language Model based Agents


A Survey on the Optimization of Large Language Model-based Agents


A Survey on the Robustness of Computer Vision Models against Common Corruptions


A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators


A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples


A Survey: Learning Embodied Intelligence from Physical Simulators and World Models


A Symbolic Character-Aware Model for Solving Geometry Problems


A Symbolic Emulator for Shuffle Synthesis on the NVIDIA PTX Code


A Symbolic Temporal Pooling method for Video-based Person Re-Identification


A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering


A Symmetric Regressor for MRI-Based Assessment of Striatal Dopamine Transporter Uptake in Parkinson's Disease With Enhanced Uncertainty Estimation


A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks


A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation


A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysis


A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling


A Synthetic Benchmark to Explore Limitations of Localized Drift Detections


A System for Comprehensive Assessment of RAG Frameworks


A System for Generalized 3D Multi-Object Search


A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation


A System for Real-Time Interactive Analysis of Deep Learning Training


A System-Level Analysis of Conference Peer Review


A Systematic Analysis for State-of-the-Art 3D Lung Nodule Proposals Generation


A Systematic Analysis of Input Modalities for Fracture Classification of the Paediatric Wrist


A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences


A Systematic Analysis of Morphological Content in BERT Models for Multiple Languages


A Systematic Approach to Constructing Families of Incremental Topology Control Algorithms Using Graph Transformation


A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning


A Systematic Approach to Hyperbolic Quantum Error Correction Codes


A Systematic Approach to Numerical Dispersion in Maxwell Solvers


A Systematic Assessment of Deep Learning Models for Molecule Generation


A Systematic Assessment of Syntactic Generalization in Neural Language Models


A Systematic Bias of Machine Learning Regression Models and Its Correction: an Application to Imaging-based Brain Age Prediction


A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation


A Systematic Collection of Medical Image Datasets for Deep Learning


A Systematic Comparison of Architectures for Document-Level Sentiment Classification


A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks


A Systematic Comparison of English Noun Compound Representations


A Systematic Comparison of Phonetic Aware Techniques for Speech Enhancement


A Systematic Comparison of Simulation Software for Robotic Arm Manipulation using ROS2


A Systematic Evaluation of Adversarial Attacks against Speech Emotion Recognition Models


A Systematic Evaluation of Generative Models on Tabular Transportation Data


A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction


A Systematic Evaluation of Node Embedding Robustness


A Systematic Evaluation of Static API-Misuse Detectors


A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers


A Systematic Investigation of KB-Text Embedding Alignment at Scale


A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models


A Systematic Literature Review of Undergraduate Data Science Education Research


A Systematic Literature Review on Large Language Models for Automated Program Repair


A Systematic Procedure for Topological Path Identification with Raw Data Transformation in Electrical Distribution Networks


A Systematic Review of Deep Learning-based Research on Radiology Report Generation


A Systematic Review on Process Mining for Curricular Analysis


A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets


A Systematic Study of Android Non-SDK (Hidden) Service API Security


A Systematic Study of Bias Amplification


A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training


A Systematic Study of Leveraging Subword Information for Learning Word Representations


A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations


A Systematic Survey of Deep Learning-based Single-Image Super-Resolution


A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models


A Systematic Survey of Regularization and Normalization in GANs


A Systematic and Meta-analysis Survey of Whale Optimization Algorithm


A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning


A TVD neural network closure and application to turbulent combustion