Reduction of Autocorrelation Times in Lattice Path Integral Quantum Monte Carlo via Direct Sampling of the Truncated Exponential Distribution


Reduction of General One-loop Integrals Using Auxiliary Vector


Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices


Reduction of Plane Quartics and Cayley Octads


Reduction of Register Pushdown Systems with Freshness Property to Pushdown Systems in LTL Model Checking


Reduction of SO(2) symmetry for spatially extended dynamical systems


Reduction of the Random Access Memory Size in Adjoint Algorithmic Differentiation by Overloading


Reduction type of genus-3 curves in a special stratum of their moduli space


Redundancy Parameterization of the ABB YuMi Robot Arm


Redundancy Reduction Twins Network: A Training framework for Multi-output Emotion Regression


Redundancy parameterization and inverse kinematics of 7-DOF revolute manipulators


Redundancy-Free Self-Supervised Relational Learning for Graph Clustering


Redundancy-aware Action Spaces for Robot Learning


Redundancy-aware unsupervised ranking based on game theory -- application to gene enrichment analysis


Redundant Cross-Correlation for Drift Correction in SEM Nanoparticle Imaging


Redundant representations help generalization in wide neural networks


Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset


Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models


ReenactGAN: Learning to Reenact Faces via Boundary Transfer


Reentry Risk and Safety Assessment of Spacecraft Debris Based on Machine Learning


Reenvisioning Collaborative Filtering vs Matrix Factorization


Reevaluating Adversarial Examples in Natural Language


Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation


Reevaluating Policy Gradient Methods for Imperfect-Information Games


Reevaluating the Role of Race and Ethnicity in Diabetes Screening


Reevaluation of Inductive Link Prediction


Ref-DVGO: Reflection-Aware Direct Voxel Grid Optimization for an Improved Quality-Efficiency Trade-Off in Reflective Scene Reconstruction


Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models


Ref-GS: Directional Factorization for 2D Gaussian Splatting


Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding


Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization


Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection


RefAV: Towards Planning-Centric Scenario Mining


RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring


RefChartQA: Grounding Visual Answer on Chart Images through Instruction Tuning


RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets


RefCurv: A Software for the Construction of Pediatric Reference Curves


RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes


RefEgo: Referring Expression Comprehension Dataset from First-Person Perception of Ego4D


RefGPT: Dialogue Generation of GPT, by GPT, and for GPT


RefHCM: A Unified Model for Referring Perceptions in Human-Centric Scenarios


RefMask3D: Language-Guided Transformer for 3D Referring Segmentation


RefModel: Detecting Refactorings using Foundation Models


RefNet: A Reference-aware Network for Background Based Conversation


RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation


RefRef: A Synthetic Dataset and Benchmark for Reconstructing Refractive and Reflective Objects


RefSearch: A Search Engine for Refactoring


RefSum: Refactoring Neural Summarization


Refacing: reconstructing anonymized facial features using GANs


RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code


RefactorHub: A Commit Annotator for Refactoring


RefactorInsight: Enhancing IDE Representation of Changes in Git with Refactorings Information


Refactoring Detection in C++ Programs with RefactoringMiner++


Refactoring Neural Networks for Verification


Refactoring the Whitby Intelligent Tutoring System for Clean Architecture


Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models


Refcat: The Internet Archive Scholar Citation Graph


ReferDINO-Plus: 2nd Solution for 4th PVUW MeViS Challenge at CVPR 2025


Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards


Reference Guided Image Inpainting using Facial Attributes


Reference Knowledgeable Network for Machine Reading Comprehension


Reference Language based Unsupervised Neural Machine Translation


Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework


Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis


Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models


Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation


Reference solutions for linear radiation transport: the Hohlraum and Lattice benchmarks


Reference-Centric Models for Grounded Collaborative Dialogue


Reference-Guided Large-Scale Face Inpainting with Identity and Texture Control


Reference-Limited Compositional Zero-Shot Learning


Reference-based Image Composition with Sketch via Structure-aware Diffusion Model


Reference-based Image Super-Resolution with Deformable Attention Transformer


Reference-based Restoration of Digitized Analog Videotapes


Reference-based Texture transfer for Single Image Super-resolution of Magnetic Resonance images


Reference-based Video Super-Resolution Using Multi-Camera Video Triplets


Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion Prior


Reference-less Analysis of Context Specificity in Translation with Personalised Language Models


Reference-less Measure of Faithfulness for Grammatical Error Correction


Reference-less Quality Estimation of Text Simplification Systems


Referenced Thermodynamic Integration for Bayesian Model Selection: Application to COVID-19 Model Selection


Referenceless User Controllable Semantic Image Synthesis


Referencing Sources of Molecular Spectroscopic Data in the Era of Data Science: Application to the HITRAN and AMBDAS Databases


Referential Uncertainty and Word Learning in High-dimensional, Continuous Meaning Spaces


Referential communication in heterogeneous communities of pre-trained visual deep networks


ReferentialGym: A Nomenclature and Framework for Language Emergence & Grounding in (Visual) Referential Games


Referral Augmentation for Zero-Shot Information Retrieval


Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation


Referring Atomic Video Action Recognition


Referring Expression Generation Using Entity Profiles


Referring Expression Generation in Visually Grounded Dialogue with Discourse-aware Comprehension Guiding


Referring Expression Object Segmentation with Caption-Aware Consistency


Referring Human Pose and Mask Estimation in the Wild


Referring Image Segmentation Using Text Supervision


Referring Transformer: A One-step Approach to Multi-task Visual Grounding


Referring Video Object Segmentation via Language-aligned Track Selection


ReffAKD: Resource-efficient Autoencoder-based Knowledge Distillation


Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions


Refinable modeling for unbinned SMEFT analyses


Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation


Refine and Represent: Region-to-Object Representation Learning


Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds


RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization


RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features


Refined Commonsense Knowledge from Large-Scale Web Contents


Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models


Refined Deep Neural Network and U-Net for Polyps Segmentation


Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs


Refined Response Distillation for Class-Incremental Player Detection


Refined Selmer equations for the thrice-punctured line in depth two


Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning


Refined Temporal Pyramidal Compression-and-Amplification Transformer for 3D Human Pose Estimation


Refined climatologies of future precipitation over High Mountain Asia using probabilistic ensemble learning


Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants


Refinement of Direction of Arrival Estimators by Majorization-Minimization Optimization on the Array Manifold


Refinement of Hottopixx Method for Nonnegative Matrix Factorization Under Noisy Separability


Refinement of Interval Approximations for Fully Commutative Quivers


Refinement of Monocular Depth Maps via Multi-View Differentiable Rendering


Refinement of Predicted Missing Parts Enhance Point Cloud Completion


Refinement of molecular dynamics ensembles using experimental data and flexible forward models


Refinement type contracts for verification of scientific investigative software


Refinements on the Complementary PDB Construction Mechanism


Refining 3D Human Texture Estimation from a Single Image


Refining 6-DoF Grasps with Context-Specific Classifiers


Refining ADHD diagnosis with EEG: The impact of preprocessing and temporal segmentation on classification accuracy


Refining Action Boundaries for One-stage Detection


Refining BERT Embeddings for Document Hashing via Mutual Information Maximization


Refining Boolean models with the partial most permissive scheme


Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues


Refining Control Barrier Functions through Hamilton-Jacobi Reachability


Refining Deep Generative Models via Discriminator Gradient Flow


Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans


Refining Dimensions for Improving Clustering-based Cross-lingual Topic Models


Refining Fast Calorimeter Simulations with a Schrödinger Bridge


Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning


Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection


Refining Language Models with Compositional Explanations


Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Model


Refining Minimax Regret for Unsupervised Environment Design


Refining Potential Energy Surface through Dynamical Properties via Differentiable Molecular Simulation


Refining Semantic Segmentation with Superpixel by Transparent Initialization and Sparse Encoder


Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models


Refining Similarity Matrices to Cluster Attributed Networks Accurately


Refining Targeted Syntactic Evaluation of Language Models


Refining Wikidata Taxonomy using Large Language Models


Refining lower bounds on sterile neutrino dark matter mass from estimates of phase space densities in dwarf galaxies


Refining music sample identification with a self-supervised graph neural network


Refining neural network predictions using background knowledge


Refining perovskite structures to pair distribution function data using collective Glazer modes as a basis


Refining the Responses of LLMs by Themselves


Refining the transit timing and photometric analysis of TRAPPIST-1: Masses, radii, densities, dynamics, and ephemerides


Refining the weighted subspace-search variational quantum eigensolver: compression of ansätze into a single pure state and optimization of weights


ReflecTool: Towards Reflection-Aware Tool-Augmented Clinical Agents


Reflect-RL: Two-Player Online RL Fine-Tuning for LMs


ReflectGAN: Modeling Vegetation Effects for Soil Carbon Estimation from Satellite Imagery


ReflectSumm: A Benchmark for Course Reflection Summarization


Reflectance Adaptive Filtering Improves Intrinsic Image Estimation


Reflectance Estimation for Proximity Sensing by Vision-Language Models: Utilizing Distributional Semantics for Low-Level Cognition in Robotics


Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard


Reflectance-Guided, Contrast-Accumulated Histogram Equalization


Reflectance-Oriented Probabilistic Equalization for Image Enhancement


Reflected Search Poisoning for Illicit Promotion


Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections


Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling


Reflecting on naked singularities: iron line fitting as a probe of the cosmic censorship conjecture


Reflecting the Male Gaze: Quantifying Female Objectification in 19th and 20th Century Novels


Reflection Removal Using Recurrent Polarization-to-Polarization Network


Reflection Separation Using Guided Annotation


Reflection and Rotation Symmetry Detection via Equivariant Learning


Reflection on modern methods: Good practices for applied statistical learning in epidemiology


Reflection-Bench: probing AI intelligence with reflection


Reflection-Equivariant Diffusion for 3D Structure Determination from Isotopologue Rotational Spectra in Natural Abundance


ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation


Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry


Reflections on Surrogate-Assisted Search-Based Testing: A Taxonomy and Two Replication Studies based on Industrial ADAS and Simulink Models


Reflections on kernelizing and computing unrooted agreement forests


Reflective Diary for Professional Development of Novice Teachers


Reflective-Net: Learning from Explanations


Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation


Reflexive tactics for algebra, revisited


ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery


Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation


Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain


Reformulating HOI Detection as Adaptive Set Prediction


Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling


Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants


Refractive Interstellar Scintillation of Extra-galactic Radio Sources I: Expectations


Refractive index tomography with a physics based optical neural network


Reframed GES with a Neural Conditional Dependence Measure


Reframing Audience Expansion through the Lens of Probability Density Estimation


Reframing Human-AI Collaboration for Generating Free-Text Explanations


Reframing Image Difference Captioning with BLIP2IDC and Synthetic Augmentation


Refusal Behavior in Large Language Models: A Nonlinear Perspective


Refusal in Language Models Is Mediated by a Single Direction


Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents


Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training


Refusing Safe Prompts for Multi-modal Large Language Models


RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models


RegBN: Batch Normalization of Multimodal Data with Regularization


RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks


RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration


RegHEC: Hand-Eye Calibration via Simultaneous Multi-view Point Clouds Registration of Arbitrary Object


RegMix: Data Mixture as Regression for Language Model Pre-training


RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness


RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs


RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling


Regenerating Arbitrary Video Sequences with Distillation Path-Finding


Regenerating Soft Robots through Neural Cellular Automata


Regenerative bootstrap for $β$-null recurrent Markov chains


Regex Queries over Incomplete Knowledge Bases


Reggae: A Parametric Tuner for PBJam, and a Visualization Tool for Red Giant Oscillation Spectra


Regime Learning for Differentiable Particle Filters


Regime Switching Optimal Growth Model with Risk Sensitive Preferences


Regime recovery using implied volatility in Markov modulated market model


Regime-based Implied Stochastic Volatility Model for Crypto Option Pricing


Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition


Region Attention Transformer for Medical Image Restoration


Region Comparison Network for Interpretable Few-shot Image Classification


Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos


Region Embedding with Intra and Inter-View Contrastive Learning


Region Invariant Normalizing Flows for Mobility Transfer


Region Normalization for Image Inpainting


Region Prediction for Efficient Robot Localization on Large Maps


Region Similarity Representation Learning


Region adaptive graph fourier transform for 3d point clouds


Region of Attraction for Power Systems using Gaussian Process and Converse Lyapunov Function -- Part I: Theoretical Framework and Off-line Study


Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images -- Nevus & Melanoma


Region of Interest Loss for Anonymizing Learned Image Compression


Region segmentation via deep learning and convex optimization


Region-Adaptive Deformable Network for Image Quality Assessment


Region-Aware Diffusion for Zero-shot Text-driven Image Editing


Region-Aware Exposure Consistency Network for Mixed Exposure Correction


Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation


Region-Aware Portrait Retouching with Sparse Interactive Guidance


Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement


Region-Based Optimization in Continual Learning for Audio Deepfake Detection


Region-Based Semantic Factorization in GANs


Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation


Region-aware Adaptive Instance Normalization for Image Harmonization


Region-based Energy Neural Network for Approximate Inference


Region-based Non-local Operation for Video Classification


Region-based semantic segmentation with end-to-end training


Region-centric Image-Language Pretraining for Open-Vocabulary Detection


Region-guided CycleGANs for Stain Transfer in Whole Slide Images


Region-of-Interest Prioritised Sampling for Constrained Autonomous Exploration Systems


Region-of-Interest-Guided Deep Joint Source-Channel Coding for Image Transmission


Region-specific Risk Quantification for Interpretable Prognosis of COVID-19


Region-wise Generative Adversarial ImageInpainting for Large Missing Areas


Region-wise Loss for Biomedical Image Segmentation


Region2Vec: Community Detection on Spatial Networks Using Graph Embedding with Node Attributes and Spatial Interactions


RegionBLIP: A Unified Multi-modal Pre-training Framework for Holistic and Regional Comprehension


RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?


RegionCLIP: Region-based Language-Image Pretraining


Regional Air Mobility Flight Demand Modeling in Tennessee State


Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition


Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization


Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses


Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability


Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts


Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation


Regional and spatial dependence of poverty factors in Thailand, and its use into Bayesian hierarchical regression analysis


Regional based query in graph active learning


Regional quality estimation for echocardiography using deep learning


Regions are Who Walk Them: a Large Pre-trained Spatiotemporal Model Based on Human Mobility for Ubiquitous Urban Sensing


Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts


Regions without flux surfaces of given class for magnetic fields in toroidal geometry


Registering Articulated Objects With Human-in-the-loop Corrections


Registration Loss Learning for Deep Probabilistic Point Set Registration


Registration Techniques for Deformable Objects


Registration based Few-Shot Anomaly Detection


Registration of 3D Point Sets Using Correntropy Similarity Matrix


Registration of 3D Point Sets Using Exponential-based Similarity Matrix


Registration of algebraic varieties using Riemannian optimization


Registration of serial sections: An evaluation method based on distortions of the ground truths


Registry-dependent potential energy and lattice corrugation of twisted bilayer graphene from quantum Monte Carlo


Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning


Regress, Don't Guess -- A Regression-like Loss on Number Tokens for Language Models


Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF


Regression Analysis of Unmeasured Confounding


Regression Diagnostics meets Forecast Evaluation: Conditional Calibration, Reliability Diagrams, and Coefficient of Determination


Regression Discontinuity Designs Using Covariates


Regression Enrichment Surfaces: a Simple Analysis Technique for Virtual Drug Screening Models


Regression Metric Loss: Learning a Semantic Representation Space for Medical Images


Regression Networks For Calculating Englacial Layer Thickness


Regression Networks for Meta-Learning Few-Shot Classification


Regression Testing with a Natural Language Oracle


Regression Transformer: Concurrent sequence regression and generation for molecular language modeling


Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks


Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection


Regression as Classification: Influence of Task Formulation on Neural Network Features


Regression coefficient estimation from remote sensing maps


Regression for Astronomical Data with Realistic Distributions, Errors and Non-linearity


Regression is all you need for medical image translation


Regression of exchangeable relational arrays


Regression verification of unbalanced recursive functions with multiple calls (long version)


Regression via Implicit Models and Optimal Transport Cost Minimization


Regression-Based Elastic Metric Learning on Shape Spaces of Elastic Curves


Regression-Oriented Knowledge Distillation for Lightweight Ship Orientation Angle Prediction with Optical Remote Sensing Images


Regression-based Melody Estimation with Uncertainty Quantification


Regression-based Monte Carlo Integration


Regression-based heterogeneity analysis to identify overlapping subgroup structure in high-dimensional data


Regression-based proximal causal inference for right-censored time-to-event data


Regressive Ensemble for Machine Translation Quality Evaluation


Regressor: A C program for Combinatorial Regressions


Regret Bounds for Gaussian-Process Optimization in Large Domains


Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems


Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem


Regret Minimization Experience Replay in Off-Policy Reinforcement Learning


Regret Optimal Control for Uncertain Stochastic Systems


Regret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control


Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior


Regret-Based Defense in Adversarial Reinforcement Learning


Regret-Minimizing Double Oracle for Extensive-Form Games


Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing


Regret-Optimal Filtering for Prediction and Estimation


Regstar: Efficient Strategy Synthesis for Adversarial Patrolling Games


Regular Expression Search on Compressed Text


Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis


Regular Splitting Graph Network for 3D Human Pose Estimation


Regularisation of Neural Networks by Enforcing Lipschitz Continuity


Regularised Canonical Correlation Analysis: graphical lasso, biplots and beyond


Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection


Regularity estimates of fractional heat semigroups related with uniformly elliptic operators


Regularization Learning Networks: Deep Learning for Tabular Datasets


Regularization Path of Cross-Validation Error Lower Bounds


Regularization and Optimization in Model-Based Clustering


Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice


Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data


Regularization by Texts for Latent Diffusion Inverse Solvers


Regularization from examples via neural networks for parametric inverse problems: topology matters


Regularization of Limited Memory Quasi-Newton Methods for Large-Scale Nonconvex Minimization


Regularization of NeRFs using differential geometry


Regularization of a scalar charged particle for generic orbits in Kerr spacetime


Regularization of the ensemble Kalman filter using a non-parametric, non-stationary spatial model


Regularization properties of adversarially-trained linear regression


Regularization via f-Divergence: An Application to Multi-Oxide Spectroscopic Analysis


Regularization with Latent Space Virtual Adversarial Training


Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation


Regularization-Based Methods for Ordinal Quantification


Regularization-based Pruning of Irrelevant Weights in Deep Neural Architectures


Regularization-wise double descent: Why it occurs and how to eliminate it


Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network


Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning


Regularized Benders Decomposition for High Performance Capacity Expansion Models


Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment


Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection


Regularized Ensemble Kalman Methods for Inverse Problems


Regularized Fine-grained Meta Face Anti-spoofing


Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond


Regularized Gauss-Newton for Optimizing Overparameterized Neural Networks


Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks


Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting


Regularized Newton Method with Global $O(1/k^2)$ Convergence


Regularized Orthogonal Machine Learning for Nonlinear Semiparametric Models


Regularized PolyKervNets: Optimizing Expressiveness and Efficiency for Private Inference in Deep Neural Networks


Regularized Principal Spline Functions to Mitigate Spatial Confounding


Regularized Q-learning through Robust Averaging


Regularized Recovery by Multi-order Partial Hypergraph Total Variation


Regularized Step Directions in Nonlinear Conjugate Gradient Methods


Regularized Training of Intermediate Layers for Generative Models for Inverse Problems


Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models


Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos


Regularized Unconstrained Weakly Submodular Maximization


Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation


Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data


Regularized autoregressive modeling and its application to audio signal declipping


Regularized by Physics: Graph Neural Network Parametrized Potentials for the Description of Intermolecular Interactions


Regularized impurity reduction: Accurate decision trees with complexity guarantees


Regularized interpolation in 4D neural fields enables optimization of 3D printed geometries


Regularized linear autoencoders recover the principal components, eventually


Regularized unbalanced optimal transport as entropy minimization with respect to branching Brownian motion


Regularizers for Single-step Adversarial Training


Regularizing Activation Distribution for Training Binarized Deep Networks


Regularizing Black-box Models for Improved Interpretability


Regularizing Class-wise Predictions via Self-knowledge Distillation


Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace


Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement


Regularizing Generative Adversarial Networks under Limited Data


Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs


Regularizing Ill-Posed Inverse Problems: Deblurring Barcodes


Regularizing Matrix Factorization with User and Item Embeddings for Recommendation


Regularizing Meta-Learning via Gradient Dropout


Regularizing Model Complexity and Label Structure for Multi-Label Text Classification


Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression


Regularizing Neural Networks by Stochastically Training Layer Ensembles


Regularizing Neural Networks for Future Trajectory Prediction via Inverse Reinforcement Learning Framework


Regularizing Neural Networks via Adversarial Model Perturbation


Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark


Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present


Regularizing Second-Order Influences for Continual Learning


Regularizing Self-supervised 3D Scene Flows with Surface Awareness and Cyclic Consistency


Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness


Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning


Regularizing and Aggregating Clients with Class Distribution for Personalized Federated Learning


Regularizing stock return covariance matrices via multiple testing of correlations


Regularizing the Pulsar Timing Array likelihood: A path towards Fourier Space


Regularizing towards Causal Invariance: Linear Models with Proxies


Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning


Regularly Truncated M-estimators for Learning with Noisy Labels


Regulating Greed Over Time in Multi-Armed Bandits


Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving


Regulating Matching Markets with Constraints: Data-driven Taxation


Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density


Regulation Compliant AI for Fusion: Real-Time Image Analysis-Based Control of Divertor Detachment in Tokamaks


Regulation of Algorithmic Collusion, Refined: Testing Pessimistic Calibrated Regret


Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off


Regulation of T cell expansion by antigen presentation dynamics


Regulatory DNA sequence Design with Reinforcement Learning


Regulatory Instruments for Fair Personalized Pricing


Rehabilitating Homeless: Dataset and Key Insights


Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering


Rehabilitation Exercise Repetition Segmentation and Counting using Skeletal Body Joints


Rehearsal revealed: The limits and merits of revisiting samples in continual learning


Rehearsal-Free Modular and Compositional Continual Learning for Language Models


Rehearsal-Free Online Continual Learning for Automatic Speech Recognition


Reheated Gradient-based Discrete Sampling for Combinatorial Optimization


Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic Segmentation


Reimagining TaxiVis through an Immersive Space-Time Cube metaphor and reflecting on potential benefits of Immersive Analytics for urban data exploration


ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning


ReinWiFi: Application-Layer QoS Optimization of WiFi Networks with Reinforcement Learning


Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress


Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks


Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement


Reinforced Causal Explainer for Graph Neural Networks


Reinforced Data Sampling for Model Diversification


Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecasting


Reinforced Dynamic Reasoning for Conversational Question Generation


Reinforced Epidemic Control: Saving Both Lives and Economy


Reinforced Evolutionary Neural Architecture Search


Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task


Reinforced Genetic Algorithm for Structure-based Drug Design


Reinforced Imitative Trajectory Planning for Urban Automated Driving


Reinforced In-Context Black-Box Optimization


Reinforced Large Language Model is a formal theorem prover


Reinforced Lifelong Editing for Language Models


Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problems


Reinforced Model Predictive Control via Trust-Region Quasi-Newton Policy Optimization


Reinforced Molecular Optimization with Neighborhood-Controlled Grammars


Reinforced Negative Sampling over Knowledge Graph for Recommendation


Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks


Reinforced Path Reasoning for Counterfactual Explainable Recommendation


Reinforced Prompt Personalization for Recommendation with Large Language Models


Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer


Reinforced Structured State-Evolution for Vision-Language Navigation


Reinforced active learning for image segmentation


Reinforced urns and the subdistribution beta-Stacy process prior for competing risks analysis


Reinforcement Communication Learning in Different Social Network Structures


Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models


Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models


Reinforcement Graph Clustering with Unknown Cluster Number


Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection


Reinforcement Knowledge Graph Reasoning for Explainable Recommendation


Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards


Reinforcement Learning -based Adaptation and Scheduling Methods for Multi-source DASH


Reinforcement Learning Agents in Colonel Blotto


Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array


Reinforcement Learning Approaches for Traffic Signal Control under Missing Data


Reinforcement Learning Assisted Recursive QAOA


Reinforcement Learning Based Dynamic Power Control for UAV Mobility Management


Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction


Reinforcement Learning Controlled Adaptive PSO for Task Offloading in IIoT Edge Computing


Reinforcement Learning Controllers for Soft Robots using Learned Environments


Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies


Reinforcement Learning Driven Adaptive VR Streaming with Optical Flow Based QoE


Reinforcement Learning Dynamics of Network Vaccination and Hysteresis: A Double-Edged Sword for Addressing Vaccine Hesitancy


Reinforcement Learning Enhanced LLMs: A Survey


Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization


Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks


Reinforcement Learning Fine-tuning of Language Models is Biased Towards More Extractable Features


Reinforcement Learning Framework for Deep Brain Stimulation Study


Reinforcement Learning Friendly Vision-Language Model for Minecraft


Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers


Reinforcement Learning Guided Multi-Objective Exam Paper Generation


Reinforcement Learning Guided by Provable Normative Compliance


Reinforcement Learning In Two Player Zero Sum Simultaneous Action Games


Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control


Reinforcement Learning Meets Visual Odometry


Reinforcement Learning Neural Turing Machines - Revised


Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library


Reinforcement Learning Pair Trading: A Dynamic Scaling approach


Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer


Reinforcement Learning Testbed for Power-Consumption Optimization


Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency


Reinforcement Learning Under Moral Uncertainty


Reinforcement Learning and Regret Bounds for Admission Control


Reinforcement Learning and Tree Search Methods for the Unit Commitment Problem


Reinforcement Learning applied to Insurance Portfolio Pursuit


Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation


Reinforcement Learning based Autonomous Multi-Rotor Landing on Moving Platforms


Reinforcement Learning based Collective Entity Alignment with Adaptive Features


Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems


Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving


Reinforcement Learning control strategies for Electric Vehicles and Renewable energy sources Virtual Power Plants


Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards


Reinforcement Learning for Active Flow Control in Experiments


Reinforcement Learning for Adaptive MCMC


Reinforcement Learning for Adaptive Time-Stepping in the Chaotic Gravitational Three-Body Problem


Reinforcement Learning for Ballbot Navigation in Uneven Terrain


Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories


Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding


Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs


Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics


Reinforcement Learning for Dynamic Memory Allocation


Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?


Reinforcement Learning for Few-Shot Text Generation Adaptation


Reinforcement Learning for Financial Index Tracking


Reinforcement Learning for Improving Agent Design


Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions


Reinforcement Learning for Mixed Autonomy Intersections


Reinforcement Learning for Optimal Control of Spin Magnetometers


Reinforcement Learning for Optimal Primary Frequency Control: A Lyapunov Approach


Reinforcement Learning for Optimization of COVID-19 Mitigation policies


Reinforcement Learning for Photonic Component Design


Reinforcement Learning for Physical Layer Communications


Reinforcement Learning for Portfolio Management


Reinforcement Learning for Quantum Control under Physical Constraints


Reinforcement Learning for Reasoning in Large Language Models with One Training Example


Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't


Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model


Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences


Reinforcement Learning for Solving Stochastic Vehicle Routing Problem


Reinforcement Learning for Supply Chain Attacks Against Frequency and Voltage Control


Reinforcement Learning for Test Case Prioritization


Reinforcement Learning for Wildfire Mitigation in Simulated Disaster Environments


Reinforcement Learning from Delayed Observations via World Models


Reinforcement Learning from Human Feedback


Reinforcement Learning from Human Feedback with High-Confidence Safety Constraints


Reinforcement Learning from Passive Data via Latent Intentions


Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs


Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination


Reinforcement Learning in High-frequency Market Making


Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable Concepts


Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions


Reinforcement Learning of Musculoskeletal Control from Functional Simulations


Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes


Reinforcement Learning of Self Enhancing Camera Image and Signal Processing


Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU


Reinforcement Learning to Disentangle Multiqubit Quantum States from Partial Observations


Reinforcement Learning to improve delta robot throws for sorting scrap metal


Reinforcement Learning via Auxiliary Task Distillation


Reinforcement Learning via Recurrent Convolutional Neural Networks


Reinforcement Learning vs. Distillation: Understanding Accuracy and Capability in LLM Reasoning


Reinforcement Learning with A* and a Deep Heuristic


Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems


Reinforcement Learning with Algorithms from Probabilistic Structure Estimation


Reinforcement Learning with Brain-Inspired Modulation can Improve Adaptation to Environmental Changes


Reinforcement Learning with Convex Constraints


Reinforcement Learning with Dual-Observation for General Video Game Playing


Reinforcement Learning with Dynamic Convex Risk Measures


Reinforcement Learning with Ensemble Model Predictive Safety Certification


Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control


Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion


Reinforcement Learning with Frontier-Based Exploration via Autonomous Environment


Reinforcement Learning with Generative Models for Compact Support Sets


Reinforcement Learning with Low-Complexity Liquid State Machines


Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools


Reinforcement Learning with Model Predictive Control for Highway Ramp Metering


Reinforcement Learning with Non-Cumulative Objective


Reinforcement Learning with Perturbed Rewards


Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration


Reinforcement Learning with Success Induced Task Prioritization


Reinforcement Learning with Token-level Feedback for Controllable Text Generation


Reinforcement Learning with Videos: Combining Offline Observations with Interaction


Reinforcement Learning with a Terminator


Reinforcement Learning-Aided Design of Efficient Polarization Kernels


Reinforcement Learning-Based Black-Box Model Inversion Attacks


Reinforcement Learning-Driven Linker Design via Fast Attention-based Point Cloud Alignment


Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation


Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations


Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming


Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control


Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems


Reinforcement Learning-based Placement of Charging Stations in Urban Road Networks


Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems


Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning


Reinforcement Learning-based Token Pruning in Vision Transformers: A Markov Game Approach


Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation


Reinforcement Learning-powered Semantic Communication via Semantic Similarity


Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop


Reinforcement Online Learning to Rank with Unbiased Reward Shaping


Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning


Reinforcement Retrieval Leveraging Fine-grained Feedback for Fact Checking News Claims with Black-Box LLM


Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware


Reinforcement learning based adaptive metaheuristics


Reinforcement learning for Quantum Tiq-Taq-Toe


Reinforcement learning for graph theory, I. Reimplementation of Wagner's approach


Reinforcement learning for graph theory, II. Small Ramsey numbers


Reinforcement learning for multi-item retrieval in the puzzle-based storage system


Reinforcement learning for traversing chemical structure space: Optimizing transition states and minimum energy paths of molecules


Reinforcement learning on structure-conditioned categorical diffusion for protein inverse folding


Reinforcement learning to learn quantum states for Heisenberg scaling accuracy


Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware


Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformations


Reinforcement learning-based motion imitation for physiologically plausible musculoskeletal motor control


Reinforcement-Learning based routing for packet-optical networks with hybrid telemetry


Reinforcement-learning-based control of confined cylinder wakes with stability analyses


Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts


Reinforcing Cybersecurity Hands-on Training With Adaptive Learning


Reinforcing General Reasoning without Verifiers


Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing


Reinforcing Video Reasoning with Focused Thinking


Reinformer: Max-Return Sequence Modeling for Offline RL


Reinterpreting CTC training as iterative fitting


Reinterpreting survival analysis in the universal approximator age


Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration


Rejected Dialects: Biases Against African American Language in Reward Models


Rejecting Hallucinated State Targets during Planning


Rejecting noise in Baikal-GVD data with neural networks


Rejecting the Majorana nature of dark matter with electron scattering experiments


Rejection-free quantum Monte Carlo in continuous time from transition path sampling


Rejoining fragmented ancient bamboo slips with physics-driven deep learning


Rejuvenated accretors have less bound envelopes: Impact of Roche lobe overflow on subsequent common envelope events


Rejuvenating IRS: AoI-based Low Overhead Reconfiguration Design


Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation


Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels


Rel2Graph: Automated Mapping From Relational Databases to a Unified Property Knowledge Graph


Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D


RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data


RelExt: A New Dark Matter Tool for the Exploration of Dark Matter Models


RelJoin: Relative-cost-based Selection of Distributed Join Methods for Query Plan Optimization


RelNN: A Deep Neural Model for Relational Learning


RelPose++: Recovering 6D Poses from Sparse-view Observations


RelTR: Relation Transformer for Scene Graph Generation


RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition


RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning


Relabeling Minimal Training Subset to Flip a Prediction


Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject


Relating CNN-Transformer Fusion Network for Change Detection


Relating Human Perception of Musicality to Prediction in a Predictive Coding Model


Relating Reading, Visualization, and Coding forNew Programmers: A Neuroimaging Study


Relating Simple Sentence Representations in Deep Neural Networks and the Brain


Relation Discovery with Out-of-Relation Knowledge Base as Supervision


Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning


Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approach


Relation Extraction with Contextualized Relation Embedding (CRE)


Relation Extraction with Instance-Adapted Predicate Descriptions


Relation Network for Person Re-identification


Relation Schema Induction using Tensor Factorization with Side Information


Relation between two Sinc-collocation methods for Volterra integral equations of the second kind and further improvement


Relation of the Relations: A New Paradigm of the Relation Extraction Problem


Relation-Aware Diffusion Model for Controllable Poster Layout Generation


Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs


Relation-Aware Global Attention for Person Re-identification


Relation-Aware Graph Attention Network for Visual Question Answering


Relation-Aware Language-Graph Transformer for Question Answering


Relation-Aware Question Answering for Heterogeneous Knowledge Graphs


Relation-Based Associative Joint Location for Human Pose Estimation in Videos


Relation-Guided Adversarial Learning for Data-free Knowledge Transfer


Relation-Rich Visual Document Generator for Visual Information Extraction


Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition


Relation-aware Heterogeneous Graph for User Profiling


Relation-aware Instance Refinement for Weakly Supervised Visual Grounding


Relation-aware Video Reading Comprehension for Temporal Language Grounding


Relation-guided acoustic scene classification aided with event embeddings


RelationField: Relate Anything in Radiance Fields


RelationMatch: Matching In-batch Relationships for Semi-supervised Learning


RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction


Relational Attention: Generalizing Transformers for Graph-Structured Tasks


Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation


Relational Context Learning for Human-Object Interaction Detection


Relational Contrastive Learning and Masked Image Modeling for Scene Text Recognition


Relational Contrastive Learning for Scene Text Recognition


Relational DNN Verification With Cross Executional Bound Refinement


Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration


Relational Diffusion Distillation for Efficient Image Generation


Relational Embedding for Few-Shot Classification


Relational Expressions for Data Transformation and Computation


Relational Extraction on Wikipedia Tables using Convolutional and Memory Networks


Relational Future Captioning Model for Explaining Likely Collisions in Daily Tasks


Relational Gating for "What If" Reasoning


Relational Graph Attention Network for Aspect-based Sentiment Analysis


Relational Graph Convolutional Networks Do Not Learn Sound Rules


Relational Graph Learning for Crowd Navigation


Relational Hoare Logic for Realistically Modelled Machine Code


Relational Learning for Joint Head and Human Detection


Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion


Relational Message Passing for Fully Inductive Knowledge Graph Completion


Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions


Relational Playground: Teaching the Duality of Relational Algebra and SQL


Relational Prior Knowledge Graphs for Detection and Instance Segmentation


Relational Prompt-based Pre-trained Language Models for Social Event Detection


Relational Proxies: Emergent Relationships as Fine-Grained Discriminators


Relational Self-Attention: What's Missing in Attention for Video Understanding


Relational Self-Supervised Learning on Graphs


Relational Self-supervised Distillation with Compact Descriptors for Image Copy Detection


Relational decomposition for program synthesis


Relational event models with global covariates


Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules


Relational persistent homology for multispecies data with application to the tumor microenvironment


Relational reasoning and generalization using non-symbolic neural networks


Relationformer: A Unified Framework for Image-to-Graph Generation


Relations, Negations, and Numbers: Looking for Logic in Generative Text-to-Image Models


Relationship Design for Socially-Aware Behavior in Static Games


Relationship between Collider Bias and Interactions on the Log-Additive Scale


Relationship between fitness and heterogeneity in exponentially growing microbial populations


Relationships in Large-Scale Graph Computing


Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks


Relative Binding Free Energy Calculations for Ligands with Diverse Scaffolds with the Alchemical Transfer Method


Relative Contagiousness of Emerging Virus Variants: An Analysis of the Alpha, Delta, and Omicron SARS-CoV-2 Variants


Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection


Relative Difficulty Distillation for Semantic Segmentation


Relative Entropy Pathwise Policy Optimization


Relative Importance in Sentence Processing


Relative NN-Descent: A Fast Index Construction for Graph-Based Approximate Nearest Neighbor Search


Relative Pairwise Relationship Constrained Non-negative Matrix Factorisation


Relative Performance of Fisher Information in Interval Estimation


Relative Pose Estimation through Affine Corrections of Monocular Depth Priors


Relative Pose from Deep Learned Depth and a Single Affine Correspondence


Relative Positional Encoding for Transformers with Linear Complexity


Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts


Relative Representations: Topological and Geometric Perspectives


Relative Sparsity for Medical Decision Problems


Relative baryon-dark matter velocities in cosmological zoom simulations


Relative gradient optimization of the Jacobian term in unsupervised deep learning


Relative representations for cognitive graphs


Relative utility bounds for empirically optimal portfolios


Relative, local and global dimension in complex networks


Relatively-Secure LLM-Based Steganography via Constrained Markov Decision Processes


Relativistic Space-Charge Field Calculation by Interpolation-Based Treecode


Relativistic Vlasov-Maxwell modelling using finite volumes and adaptive mesh refinement


Relativistic description of dense matter equation of state and compatibility with neutron star observables: a Bayesian approach


Relativistic mean-field theories for neutron-star physics based on chiral effective field theory


Relativistic runaway electron avalanches within complex thunderstorm electric field structures


RelativisticDynamics.jl: Relativistic Spin-Orbital Dynamics in Julia


Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects


Relax-and-fix heuristics applied to a real-world lot-sizing and scheduling problem in the personal care consumer goods industry


RelaxLoss: Defending Membership Inference Attacks without Losing Utility


Relaxation Deferred Correction Methods and their Applications to Residual Distribution Schemes


Relaxation Runge-Kutta Methods for Hamiltonian Problems


Relaxation Runge-Kutta Methods: Fully-Discrete Explicit Entropy-Stable Schemes for the Euler and Navier-Stokes Equations


Relaxation approach for learning neural network regularizers for a class of identification problems


Relaxation of experimental parameters in a Quantum-Gravity Induced Entanglement of Masses Protocol using electromagnetic screening


Relaxation of the parameter independence assumption in the `bootComb` R package


Relaxations for binary polynomial optimization via signed certificates


Relaxations of Envy-Freeness Over Graphs


Relaxations of the Steady Optimal Gas Flow Problem for a Non-Ideal Gas


Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs


Relaxed Contrastive Learning for Federated Learning


Relaxed Equivariant Graph Neural Networks


Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization


Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series


Relaxed Peephole Optimization: A Novel Compiler Optimization for Quantum Circuits


Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise


Relaxed Rotational Equivariance via $G$-Biases in Vision


Relaxed Spatio-Temporal Deep Feature Aggregation for Real-Fake Expression Prediction


Relaxed and Inertial Nonlinear Forward-Backward with Momentum


Relaxing Accurate Initialization Constraint for 3D Gaussian Splatting


Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning


Relaxing Hardware Requirements for Surface Code Circuits using Time-dynamics


Relaxing Relationship Queries on Graph Data


Relaxing state-access constraints in stateful programmable data planes


Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization


Relaxing the Assumptions of Knockoffs by Conditioning


Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction


Relay Diffusion: Unifying diffusion process across resolutions for image synthesis


Relay-Assisted Cooperative Federated Learning


RelayAttention for Efficient Large Language Model Serving with Long System Prompts


RelayGS: Reconstructing Dynamic Scenes with Large-Scale and Complex Motions via Relay Gaussians


RelaySum for Decentralized Deep Learning on Heterogeneous Data


Release note: Massive peak bagging of red giants in the Kepler field


Releasing Differentially Private Event Logs Using Generative Models


Releasing Graph Neural Networks with Differential Privacy Guarantees


Relevance Filtering for Embedding-based Retrieval


Relevance Proximity Graphs for Fast Relevance Retrieval


Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric


Relevance meets Diversity: A User-Centric Framework for Knowledge Exploration through Recommendations


Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties


Relevance of one-loop SMEFT matching in the 2HDM


Relevance-based Margin for Contrastively-trained Video Retrieval Models


Relevance-guided Supervision for OpenQA with ColBERT


Relevant CommonSense Subgraphs for "What if..." Procedural Reasoning


Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning


Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers


Relevant, hidden, and frustrated information in high-dimensional analyses of complex dynamical systems with internal noise


ReliTalk: Relightable Talking Portrait Generation from a Single Video


Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects


Reliability Check: An Analysis of GPT-3's Response to Sensitive Topics and Prompt Wording


Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach


Reliability Estimation of News Media Sources: Birds of a Feather Flock Together


Reliability Gaps Between Groups in COMPAS Dataset


Reliability and Latency Analysis for Wireless Communication Systems with a Secret-Key Budget


Reliability and comparability of human brain structural covariance networks


Reliability and predictability of phenotype information from functional connectivity in large imaging datasets


Reliability and robustness of oscillations in some slow-fast chaotic systems


Reliability in Semantic Segmentation: Are We on the Right Track?


Reliability in Semantic Segmentation: Can We Use Synthetic Data?


Reliability modeling and statistical analysis of accelerated degradation process with memory effects and unit-to-unit variability


Reliability of energy landscape analysis of resting-state functional MRI data


Reliability on QR codes and Reed-Solomon codes


Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation


Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval


Reliability-Hierarchical Memory Network for Scribble-Supervised Video Object Segmentation


Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining


Reliable Academic Conference Question Answering: A Study Based on Large Language Model


Reliable Actors with Retry Orchestration


Reliable Adversarial Distillation with Unreliable Teachers


Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows


Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions


Reliable Community Search in Dynamic Networks


Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning


Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild


Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks


Reliable Firmware Updates for the Information-Centric Internet of Things


Reliable Frequency Regulation through Vehicle-to-Grid: Encoding Legislation with Robust Constraints


Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models


Reliable Gradient-free and Likelihood-free Prompt Tuning


Reliable Inlier Evaluation for Unsupervised Point Cloud Registration


Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images


Reliable Label Bootstrapping for Semi-Supervised Learning


Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels


Reliable Local Explanations for Machine Listening


Reliable Multi-Object Tracking in the Presence of Unreliable Detections


Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography


Reliable Node Similarity Matrix Guided Contrastive Graph Clustering


Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion


Reliable Propagation-Correction Modulation for Video Object Segmentation


Reliable Pseudo-labeling via Optimal Transport with Attention for Short Text Clustering


Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN


Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles


Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation


Reliable Spatial-Temporal Voxels For Multi-Modal Test-Time Adaptation


Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection


Reliable Time Prediction in the Markov Stochastic Block Model


Reliable Vertical Federated Learning in 5G Core Network Architecture


Reliable amortized variational inference with physics-based latent distribution correction


Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models


Reliable and Efficient Image Cropping: A Grid Anchor based Approach


Reliable and scalable variable importance estimation via warm-start and early stopping


Reliable deep-learning-based phase imaging with uncertainty quantification


Reliable ligand discrimination in stochastic multistep kinetic proofreading: First passage time vs. product counting strategies


Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs


Reliable training and estimation of variance networks


Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction


Reliable variance propagation for spatial density surface models


Reliable, Reproducible, and Really Fast Leaderboards with Evalica


Reliable-loc: Robust sequential LiDAR global localization in large-scale street scenes based on verifiable cues


ReliableSwap: Boosting General Face Swapping Via Reliable Supervision


Reliably detecting model failures in deployment without labels


Relict landslide detection using Deep-Learning architectures for image segmentation in rainforest areas: A new framework


Relief and Stimulus in A Cross-sector Multi-product Scarce Resource Supply Chain Network


ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings


Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors


Relighting Images in the Wild with a Self-Supervised Siamese Auto-Encoder


Relighting Neural Radiance Fields with Shadow and Highlight Hints


Relighting from a Single Image: Datasets and Deep Intrinsic-based Architecture


Relighting4D: Neural Relightable Human from Videos


Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic


Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies


Relit-NeuLF: Efficient Relighting and Novel View Synthesis via Neural 4D Light Field


Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization


Reluctant Interaction Modeling in Generalized Linear Models


Relying on a rate constraint to reduce Motion Estimation complexity


RemDet: Rethinking Efficient Model Design for UAV Object Detection


Remaining Useful Life Prediction for Aircraft Engines using LSTM


Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similarity


Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling


Remember Intentions: Retrospective-Memory-based Trajectory Prediction


Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors


Remember This Event That Year? Assessing Temporal Information and Reasoning in Large Language Models


Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks


Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting


Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making


Remind of the Past: Incremental Learning with Analogical Prompts


Remiod: Reference-based Controlled Multiple Imputation of Longitudinal Binary and Ordinal Outcomes with non-ignorable missingness


Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising


Remixing Functionally Graded Structures: Data-Driven Topology Optimization with Multiclass Shape Blending


Remote Bio-Sensing: Open Source Benchmark Framework for Fair Evaluation of rPPG


Remote Photoplethysmography: Rarely Considered Factors


Remote Procedure Call as a Managed System Service


Remote Sensing Change Detection With Transformers Trained from Scratch


Remote Sensing Cross-Modal Text-Image Retrieval Based on Global and Local Information


Remote Sensing Image Change Detection with Graph Interaction


Remote Sensing Image Fusion Based on Two-stream Fusion Network


Remote Sensing Image Translation via Style-Based Recalibration Module and Improved Style Discriminator


Remote Sensing Novel View Synthesis with Implicit Multiplane Representations


Remote Sensing-Based Assessment of Economic Development


Remote Sensor Design for Visual Recognition with Convolutional Neural Networks


Remote Task-oriented Grasp Area Teaching By Non-Experts through Interactive Segmentation and Few-Shot Learning


Remote Tube-based MPC for Tracking Over Lossy Networks


Remote attestation of SEV-SNP confidential VMs using e-vTPMs


Remote sensing framework for geological mapping via stacked autoencoders and clustering


RemoteCLIP: A Vision Language Foundation Model for Remote Sensing


RemoteSAM: Towards Segment Anything for Earth Observation


RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image Classification


Removable Weak Keys for Discrete Logarithm Based Cryptography


Removal of Batch Effects using Distribution-Matching Residual Networks


Removal of Hallucination on Hallucination: Debate-Augmented RAG


Removal then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection


RemovalNet: DNN Fingerprint Removal Attacks


Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How


Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad


Removing Atmospheric Fringes from Zwicky Transient Facility i-Band Images using Principal Component Analysis


Removing Batch Normalization Boosts Adversarial Training


Removing Biases from Molecular Representations via Information Maximization


Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications


Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network


Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation


Removing Image Artifacts From Scratched Lens Protectors


Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders


Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance


Removing Radio Frequency Interference from Auroral Kilometric Radiation with Stacked Autoencoders


Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately


Removing Structured Noise with Diffusion Models


Removing Undesirable Feature Contributions Using Out-of-Distribution Data


Removing Watermarks with Partial Regeneration using Semantic Information


Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning


Removing biased data to improve fairness and accuracy


Removing non-physical structure in fitted Faraday rotated signals: non-parametric QU-fitting


Removing systematic errors for exoplanet search via latent causes


Removing the Feature Correlation Effect of Multiplicative Noise


Removing the influence of a group variable in high-dimensional predictive modelling


RenDetNet: Weakly-supervised Shadow Detection with Shadow Caster Verification


Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills


Renaissance canons with asymmetric schemes


Renaissance: Investigating the Pretraining of Vision-Language Encoders


Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images


Renard: A Modular Pipeline for Extracting Character Networks from Narrative Texts


Renate: A Library for Real-World Continual Learning


Render In-between: Motion Guided Video Synthesis for Action Interpolation


Render unto Numerics: Orthogonal Polynomial Neural Operator for PDEs with Non-periodic Boundary Conditions


Render-and-Compare: Cross-View 6 DoF Localization from Noisy Prior


RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation


RenderGAN: Generating Realistic Labeled Data


RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation


RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars


RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision


Renderers are Good Zero-Shot Representation Learners: Exploring Diffusion Latents for Metric Learning


Rendering Natural Camera Bokeh Effect with Deep Learning


Rendering Nighttime Image Via Cascaded Color and Brightness Compensation


Rendering Synthetic Objects into Legacy Photographs


Rene: A Pre-trained Multi-modal Architecture for Auscultation of Respiratory Diseases


Renewable levelized cost of energy available for export: An indicator for exploring global renewable energy trade potential


Renewal structure of the Tree Builder Random Walk


Renormalisation of SMEFT bosonic interactions up to dimension eight by LNV operators


Renormalizable SU(5) Completions of a Zee-type Neutrino Mass Model


Renormalization Group Evolution with Scalar Leptoquarks


Renormalization of Scalar and Fermion Interacting Field Theory for Arbitrary Loop: Heat-Kernel Approach


Renormalization of a Contact Interaction on a Lattice


Renormalization-group-inspired neural networks for computing topological invariants


Renormalized Mutual Information for Artificial Scientific Discovery


RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence


Reordering Examples Helps during Priming-based Few-Shot Learning


ReorientBot: Learning Object Reorientation for Specific-Posed Placement


Rep the Set: Neural Networks for Learning Set Representations


RepAct: The Re-parameterizable Adaptive Activation Function


RepBNN: towards a precise Binary Neural Network with Enhanced Feature Map via Repeating


RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning


RepCodec: A Speech Representation Codec for Speech Tokenization


RepEval: Effective Text Evaluation with LLM Representation


RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content


RepMix: Representation Mixing for Robust Attribution of Synthesized Images


RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction


RepNAS: Searching for Efficient Re-parameterizing Blocks


RepNeXt: A Fast Multi-Scale CNN using Structural Reparameterization


RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers


RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception


RepVGG-GELAN: Enhanced GELAN with VGG-STYLE ConvNets for Brain Tumour Detection


Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting


Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples


RepairAgent: An Autonomous, LLM-Based Agent for Program Repair


RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair


Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancement


Repairing DNN Architecture: Are We There Yet?


Repairing Deep Neural Networks Based on Behavior Imitation


Repairing DoS Vulnerability of Real-World Regexes


Repairing Group-Level Errors for DNNs Using Weighted Regularization


Repairing Language Model Pipelines by Meta Self-Refining Competing Constraints at Runtime


Repairing Learning-Enabled Controllers While Preserving What Works


Repairing Neural Networks for Safety in Robotic Systems using Predictive Models


Repairing Systematic Outliers by Learning Clean Subspaces in VAEs


Repairing Timed Automata Clock Guards through Abstraction and Testing


Repairing and Mechanising the JavaScript Relaxed Memory Model


Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions


Repairs in a Block World: A New Benchmark for Handling User Corrections with Multi-Modal Language Models


Reparameterizable Dual-Resolution Network for Real-time Semantic Segmentation


Reparameterizable Subset Sampling via Continuous Relaxations


Reparameterization Gradient for Non-differentiable Models


Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms


Reparameterization through Spatial Gradient Scaling


Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference


Reparameterizing Distributions on Lie Groups


Repeat After Me: Transformers are Better than State Space Models at Copying


Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling


Repeat-Aware Neighbor Sampling for Dynamic Graph Learning


Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation


RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation


Repeated Environment Inference for Invariant Learning


Repeated Interaction Scheme for the Quantum Simulation of Non-Markovian Electron Transfer Dynamics


Repeated Padding for Sequential Recommendation


Repeated Purification versus Concatenated Error Correction in Fault Tolerant Quantum Networks


Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning


Repeating Flares, X-ray Outbursts and Delayed Infrared Emission: A Comprehensive Compilation of Optical Tidal Disruption Events


Repelled point processes with application to numerical integration


Repelling-Attracting Hamiltonian Monte Carlo


Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions


Repetition Improves Language Model Embeddings


Repetitions in infinite palindrome-rich words


Repetitive Activity Counting by Sight and Sound


Repetitive Reprediction Deep Decipher for Semi-Supervised Learning


Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves


Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models


Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis


Replacing CAPTCHA with XNO micropayments


Replacing K-infinity Function with Leaky ReLU in Barrier Function Design: A Union of Invariant Sets Approach for ReLU-Based Dynamical Systems


Replacing Language Model for Style Transfer


Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion


Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification


Replacing neural networks by optimal analytical predictors for the detection of phase transitions


Replay Attacks and Defenses Against Cross-shard Consensus in Sharded Distributed Ledgers


Replay attack detection with complementary high-resolution information using end-to-end DNN for the ASVspoof 2019 Challenge


Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach


Replay-enhanced Continual Reinforcement Learning


Replay-free Online Continual Learning with Self-Supervised MultiPatches


Replay: Multi-modal Multi-view Acted Videos for Casual Holography


ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection


Replaying Archived Twitter: When your bird is broken, will it bring you down?


Replica Conditional Sequential Monte Carlo


Replica Tree-based Federated Learning using Limited Data


Replica exchange of expanded ensembles: A generalized ensemble approach with enhanced flexibility and parallelizability


Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets


Replicability Study: Corpora For Understanding Simulink Models & Projects


Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in Indonesia


Replicable functions arising from code-lattice VOAs fixed by automorphisms


Replicating Data Pipelines with GrimoireLab


Replicating and extending chain-ladder via an age-period-cohort structure on the claim development in a run-off triangle


Replication Study and Benchmarking of Real-Time Object Detection Models


Replication and Generalization of PRECISE


Replication in Visual Diffusion Models: A Survey and Outlook


Replication issues in syntax-based aspect extraction for opinion mining


Replication of SARS-CoV-2 mutation analysis suggests differences in per-protein mutation characteristics


Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation


Reply to: Large-scale quantitative profiling of the Old English verse tradition


Reply with Sticker: New Dataset and Model for Sticker Retrieval


Repo2Run: Automated Building Executable Environment for Code Repository at Scale


RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation


RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing


RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems


RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph


RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion


RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving


RepoQA: Evaluating Long Context Code Understanding


RepoST: Scalable Repository-Level Coding Environment Construction with Sandbox Testing


Report: Dynamic Eye Movement Matching and Visualization Tool in Neuro Gesture


ReposVul: A Repository-Level High-Quality Vulnerability Dataset


Repositioning Tiered HotSpot Execution Performance Relative to the Interpreter


Repository-Level Graph Representation Learning for Enhanced Security Patch Detection


Repository-Level Prompt Generation for Large Language Models of Code


Repository-level Code Search with Neural Retrieval Methods


Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting


Representation Alignment Contrastive Regularization for Multi-Object Tracking


Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think


Representation Alignment in Neural Networks


Representation Based Complexity Measures for Predicting Generalization in Deep Learning


Representation Based Regression for Object Distance Estimation


Representation Bending for Large Language Model Safety


Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study


Representation Compensation Networks for Continual Semantic Segmentation


Representation Convergence: Mutual Distillation is Secretly a Form of Regularization


Representation Deficiency in Masked Language Modeling


Representation Disentanglement for Multi-modal brain MR Analysis


Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic Systems


Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects


Representation Learning and Identity Adversarial Training for Facial Behavior Understanding


Representation Learning for Clustering via Building Consensus


Representation Learning for Content-Sensitive Anomaly Detection in Industrial Networks


Representation Learning for Grounded Spatial Reasoning


Representation Learning for Heterogeneous Information Networks via Embedding Events


Representation Learning for Medical Data


Representation Learning for Non-Melanoma Skin Cancer using a Latent Autoencoder


Representation Learning for Person or Entity-centric Knowledge Graphs: An Application in Healthcare


Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach


Representation Learning for Resource-Constrained Keyphrase Generation


Representation Learning for Tabular Data: A Comprehensive Survey


Representation Learning for Time-Domain High-Energy Astrophysics: Discovery of Extragalactic Fast X-ray Transient XRT 200515


Representation Learning for the Automatic Indexing of Sound Effects Libraries


Representation Learning from Limited Educational Data with Crowdsourced Labels


Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning


Representation Learning of Daily Movement Data Using Text Encoders


Representation Learning of Entities and Documents from Knowledge Base Descriptions


Representation Learning of Lab Values via Masked AutoEncoder


Representation Learning of Multivariate Time Series using Attention and Adversarial Training


Representation Learning of Tangled Key-Value Sequence Data for Early Classification


Representation Learning on Heterostructures via Heterogeneous Anonymous Walks


Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers


Representation Learning via Consistent Assignment of Views over Random Partitions


Representation Learning via Consistent Assignment of Views to Clusters


Representation Learning via Global Temporal Alignment and Cycle-Consistency


Representation Learning via Manifold Flattening and Reconstruction


Representation Learning with Conditional Information Flow Maximization


Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization


Representation Learning with Diffusion Models


Representation Learning with Large Language Models for Recommendation


Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL


Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks


Representation Learning with Ordered Relation Paths for Knowledge Graph Completion


Representation Learning with Statistical Independence to Mitigate Bias


Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities


Representation Learning-Assisted Click-Through Rate Prediction


Representation Magnitude has a Liability to Privacy Vulnerability


Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data


Representation Noising: A Defence Mechanism Against Harmful Finetuning


Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning


Representation Quality Of Neural Networks Links To Adversarial Attacks and Defences


Representation Recycling for Streaming Video Analysis


Representation Sparsification with Hybrid Thresholding for Fast SPLADE-based Document Retrieval


Representation Surgery for Multi-Task Model Merging


Representation Surgery: Theory and Practice of Affine Steering


Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition


Representation based meta-learning for few-shot spoken intent recognition


Representation learning for fast radio burst dynamic spectra


Representation learning for neural population activity with Neural Data Transformers


Representation learning for very short texts using weighted word embedding aggregation


Representation learning in multiplex graphs: Where and how to fuse information?


Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study


Representation of Context-Specific Causal Models with Observational and Interventional Data


Representation of binary classification trees with binary features by quantum circuits


Representation of professions in entertainment media: Insights into frequency and sentiment trends through computational text analysis


Representation variety for the rank one affine group


Representation-Free Model Predictive Control for Dynamic Motions in Quadrupeds


Representational Continuity for Unsupervised Continual Learning


Representations attached to elliptic curves with a non-trivial odd torsion point


Representations learnt by SGD and Adaptive learning rules: Conditions that vary sparsity and selectivity in neural networks


Representations of Energy Landscapes by Sublevelset Persistent Homology: An Example With n-Alkanes


Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs


Representations of language in a model of visually grounded speech signal


Representations of torsion-free arithmetic matroids


Representative Action Selection for Large Action-Space Meta-Bandits


Representative Days and Hours with Piecewise Linear Transitions for Power System Planning


Representative Forgery Mining for Fake Face Detection


Representative community divisions of networks


Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery


Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network


Representing Domain-Mixing Optical Degradation for Real-World Computational Aberration Correction via Vector Quantization


Representing Long Volumetric Video with Temporal Gaussian Hierarchy


Representing Long-Range Context for Graph Neural Networks with Global Attention


Representing Meaning with a Combination of Logical and Distributional Models


Representing Noisy Image Without Denoising


Representing Outcome-driven Higher-order Dependencies in Graphs of Disease Trajectories


Representing Random Utility Choice Models with Neural Networks


Representing Robot Geometry as Distance Fields: Applications to Whole-body Manipulation


Representing Rule-based Chatbots with Transformers


Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing


Representing Shape Collections with Alignment-Aware Linear Models


Representing Social Media Users for Sarcasm Detection


Representing Syntax and Composition with Geometric Transformations


Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures


Representing and Computing Uncertainty in Phonological Reconstruction


Representing and computing the B-derivative of an $EC^r$ vector field's $PC^r$ flow


Representing and extending ensembles of parsimonious evolutionary histories with a directed acyclic graph


Representing individual electronic states for machine learning GW band structures of 2D materials


Representing rational integers by generalized quadratic forms over quadratic fields


Representing the Disciplinary Structure of Physics: A Comparative Evaluation of Graph and Text Embedding Methods


Representing the Special Linear Group with Block Unitriangular Matrices


Representing the Under-Represented: Cultural and Core Capability Benchmarks for Developing Thai Large Language Models


Representing visual classification as a linear combination of words


Reprint: a randomized extrapolation based on principal components for data augmentation


Repro: An Open-Source Library for Improving the Reproducibility and Usability of Publicly Available Research Code


ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks


ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility


Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning


Reproducibility Companion Paper:In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems


Reproducibility Signals in Science: A preliminary analysis


Reproducibility Study of "ITI-GEN: Inclusive Text-to-Image Generation"


Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers


Reproducibility and Baseline Reporting for Dynamic Multi-objective Benchmark Problems


Reproducibility and FAIR Principles: The Case of a Segment Polarity Network Model


Reproducibility of "FDA: Fourier Domain Adaptation forSemantic Segmentation


Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control


Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments


Reproducibility of density functional approximations: how new functionals should be reported


Reproducibility of machine learning analyses of 21 cm reionization maps


Reproducibility review of "Why Not Other Classes": Towards Class-Contrastive Back-Propagation Explanations


Reproducibility study of "LICO: Explainable Models with Language-Image Consistency"


Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild


Reproducible Evaluation of Camera Auto-Exposure Methods in the Field: Platform, Benchmark and Lessons Learned


Reproducible Machine Learning-based Voice Pathology Detection: Introducing the Pitch Difference Feature


Reproducible Validation and Replication Studies in Nanoscale Physics


Reproducible Workflow on a Public Cloud for Computational Fluid Dynamics


Reproducible and Portable Big Data Analytics in the Cloud


Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease


Reproducing AmbientGAN: Generative models from lossy measurements


Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval


Reproducing NevIR: Negation in Neural Information Retrieval


Reproducing Random Forest Efficacy in Detecting Port Scanning


Reproducing and learning new algebraic operations on word embeddings using genetic programming


Reproducing sensory induced hallucinations via neural fields


Reproduction Report on "Learn to Pay Attention"


Reproduction of Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection


Reprogrammable sequencing for physically intelligent under-actuated robots


Reprogramming Distillation for Medical Foundation Models


Reprogramming Pretrained Language Models for Antibody Sequence Infilling


Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design


Représentations lexicales pour la détection non supervisée d'événements dans un flux de tweets : étude sur des corpus français et anglais


Reptile: Aggregation-level Explanations for Hierarchical Data


Repulsion of zeros close to $s=1/2$ for L-functions


Repulsive Latent Score Distillation for Solving Inverse Problems


Repurposing Coal Power Plants into Thermal Energy Storage for Supporting Zero-carbon Data Centers


Repurposing Entailment for Multi-Hop Question Answering Tasks


Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe


Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning


Repurposing of Ring Framework through TR screening


Requirements Quality Research: a harmonized Theory, Evaluation, and Roadmap


Requirements Satisfiability with In-Context Learning


Requirements are All You Need: From Requirements to Code with LLMs


Requirements for a processing-node quantum repeater on a real-world fiber grid


Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue Systems


Rerouting Connection: Hybrid Computer Vision Analysis Reveals Visual Similarity Between Indus and Tibetan-Yi Corridor Writing Systems


RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification


Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images


Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning


ResAD: A Simple Framework for Class Generalizable Anomaly Detection


ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models


ResAttUNet: Detecting Marine Debris using an Attention activated Residual UNet


ResCLIP: Residual Attention for Training-free Dense Vision-language Inference


ResDepth: A Deep Residual Prior For 3D Reconstruction From High-resolution Satellite Images


ResDepth: Learned Residual Stereo Reconstruction


ResFields: Residual Neural Fields for Spatiotemporal Signals


ResFormer: Scaling ViTs with Multi-Resolution Training


ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals


ResLT: Residual Learning for Long-tailed Recognition


ResLogit: A residual neural network logit model for data-driven choice modelling


ResMGCN: Residual Message Graph Convolution Network for Fast Biomedical Interactions Discovering


ResMatch: Residual Attention Learning for Local Feature Matching


ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration


ResNLS: An Improved Model for Stock Price Forecasting


ResNet-like Architecture with Low Hardware Requirements


ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals


ResQue Greedy: Rewiring Sequential Greedy for Improved Submodular Maximization


ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning


ResSR: A Computationally Efficient Residual Approach to Super-Resolving Multispectral Images


ResVG: Enhancing Relation and Semantic Understanding in Multiple Instances for Visual Grounding


Resa: Transparent Reasoning Models via SAEs


Resampling Base Distributions of Normalizing Flows


Resampling Filter Design for Multirate Neural Audio Effect Processing


Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers


Resampling Methods for Detecting Anisotropic Correlation Structure


Resampling detection of recompressed images via dual-stream convolutional neural network


Resampling-Based Multisplit Inference for High-Dimensional Regression


Resampling-based confidence intervals and bands for the average treatment effect in observational studies with competing risks


Resampling-free Particle Filters in High-dimensions


Rescaling CNN through Learnable Repetition of Network Parameters


Rescheduling after vehicle failures in the multi-depot rural postman problem with rechargeable and reusable vehicles


Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes


Rescue Craft Allocation in Tidal Waters of the North and Baltic Sea