RAVSS: Robust Audio-Visual Speech Separation in Multi-Speaker Scenarios with Missing Visual Cues


RAW-C: Relatedness of Ambiguous Words--in Context (A New Lexical Resource for English)


RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation


RAYEN: Imposition of Hard Convex Constraints on Neural Networks


RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting


RAiSE: simulation-based analytical model of AGN jets and lobes


RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain


RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification


RB5 Low-Cost Explorer: Implementing Autonomous Long-Term Exploration on Low-Cost Robotic Hardware


RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition


RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection


RBF-FD analysis of 2D time-domain acoustic wave propagation in heterogeneous media


RBGNet: Ray-based Grouping for 3D Object Detection


RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution


RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network


RBT4DNN: Requirements-based Testing of Neural Networks


RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network


RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering


RCABench: Open Benchmarking Platform for Root Cause Analysis


RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data


RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection


RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining


RCDPT: Radar-Camera fusion Dense Prediction Transformer


RCDT: Relational Remote Sensing Change Detection with Transformer


RCE: An Integration Environment for Engineering and Science


RCLMuFN: Relational Context Learning and Multiplex Fusion Network for Multimodal Sarcasm Detection


RCM++:Reverse Cuthill-McKee ordering with Bi-Criteria Node Finder


RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection


RCMHA: Relative Convolutional Multi-Head Attention for Natural Language Modelling


RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image Enhancement


RCP-RF: A Comprehensive Road-car-pedestrian Risk Management Framework based on Driving Risk Potential Field


RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation


RCRN: Real-world Character Image Restoration Network via Skeleton Extraction


RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems


RCT Rejection Sampling for Causal Estimation Evaluation


RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection


RCVaR: an Economic Approach to Estimate Cyberattacks Costs using Data from Industry Reports


RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation


RConE: Rough Cone Embedding for Multi-Hop Logical Query Answering on Multi-Modal Knowledge Graphs


RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception


RD-UIE: Relation-Driven State Space Modeling for Underwater Image Enhancement


RD-VIO: Robust Visual-Inertial Odometry for Mobile Augmented Reality in Dynamic Environments


RDA: An Accelerated Collision Free Motion Planner for Autonomous Navigation in Cluttered Environments


RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning


RDCNet: Instance segmentation with a minimalist recurrent residual network


RDD4D: 4D Attention-Guided Road Damage Detection And Classification


RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual Diffusion


RDF Stream Taxonomy: Systematizing RDF Stream Types in Research and Practice


RDF2PT: Generating Brazilian Portuguese Texts from RDF Data


RDFFrames: Knowledge Graph Access for Machine Learning Tools


RDFGraphGen: An RDF Graph Generator based on SHACL Shapes


RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging


RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis


RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains


RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network


RDP-Net: Region Detail Preserving Network for Change Detection


RDPD: Rich Data Helps Poor Data via Imitation


RDPN6D: Residual-based Dense Point-wise Network for 6Dof Object Pose Estimation Based on RGB-D Images


RDSA: A Robust Deep Graph Clustering Framework via Dual Soft Assignment


RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation


RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design


RDumb: A simple approach that questions our progress in continual test-time adaptation


RE$^2$: Region-Aware Relation Extraction from Visually Rich Documents


RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts


RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection


RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction


RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation


RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction


RE-TRIP : Reflectivity Instance Augmented Triangle Descriptor for 3D Place Recognition


REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Large Reasoning Models


REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge


REACT to NHST: Sensible conclusions to meaningful hypotheses


REACT: Distributed Mobile Microservice Execution Enabled by Efficient Inter-Process Communication


REACT: Real-time Efficiency and Accuracy Compromise for Tradeoffs in Scene Graph Generation


REACT: Real-time Efficient Attribute Clustering and Transfer for Updatable 3D Scene Graph


REACT: Two Datasets for Analyzing Both Human Reactions and Evaluative Feedback to Robots Over Time


READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents


READ: Large-Scale Neural Scene Rendering for Autonomous Driving


READ: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling


README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP


READMem: Robust Embedding Association for a Diverse Memory in Unconstrained Video Object Segmentation


READoc: A Unified Benchmark for Realistic Document Structured Extraction


REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research


REAL-M: Towards Speech Separation on Real Mixtures


REAL-Prover: Retrieval Augmented Lean Prover for Mathematical Reasoning


REAL-X -- Robot open-Ended Autonomous Learning Architectures: Achieving Truly End-to-End Sensorimotor Autonomous Learning Systems


REAL: A Representative Error-Driven Approach for Active Learning


REAL: Rapid Exploration with Active Loop-Closing toward Large-Scale 3D Mapping using UAVs


REAL: Response Embedding-based Alignment for LLMs


REALM-Bench: A Real-World Planning Benchmark for LLMs and Multi-Agent Systems


REALM: Real-Time Estimates of Assistance for Learned Models in Human-Robot Interaction


REALY: Rethinking the Evaluation of 3D Face Reconstruction


REANIMATOR: Reanimate Retrieval Test Collections with Extracted and Synthetic Resources


REAP: A Large-Scale Realistic Adversarial Patch Benchmark


REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering


REARANK: Reasoning Re-ranking Agent via Reinforcement Learning


REB: Reducing Biases in Representation for Industrial Anomaly Detection


REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning


REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model


REBEL: Reinforcement Learning via Regressing Relative Rewards


REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR


REBUS: A Robust Evaluation Benchmark of Understanding Symbols


REC-MV: REconstructing 3D Dynamic Cloth from Monocular Videos


RECALL: Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles


RECALL: Rehearsal-free Continual Learning for Object Classification


RECALL: Replay-based Continual Learning in Semantic Segmentation


RECAP: Retrieval-Augmented Audio Captioning


RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation


RECAPP: Crafting a More Efficient Catalyst for Convex Optimization


RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks


RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders


RECKONition: a NLP-based system for Industrial Accidents at Work Prevention


RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations


RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation


RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro


RED CoMETS: An ensemble classifier for symbolically represented multivariate time series


RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking


RED-ACE: Robust Error Detection for ASR using Confidence Embeddings


RED-Attack: Resource Efficient Decision based Attack for Machine Learning


RED-DOT: Multimodal Fact-checking via Relevant Evidence Detection


RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging


RED: Residual Estimation Diffusion for Low-Dose PET Sinogram Reconstruction


REDACTOR: eFPGA Redaction for DNN Accelerator Security


REDAffectiveLM: Leveraging Affect Enriched Embedding and Transformer-based Neural Language Model for Readers' Emotion Detection


REDE: End-to-end Object 6D Pose Robust Estimation Using Differentiable Outliers Elimination


REDS: Rule Extraction for Discovering Scenarios


REDUCIO! Generating 1024$\times$1024 Video within 16 Seconds using Extremely Compressed Motion Latents


REE-HDSC: Recognizing Extracted Entities for the Historical Database Suriname Curacao


REED-VAE: RE-Encode Decode Training for Iterative Image Editing with Diffusion Models


REEF: Representation Encoding Fingerprints for Large Language Models


REF$^2$-NeRF: Reflection and Refraction aware Neural Radiance Field


REF-VLM: Triplet-Based Referring Paradigm for Unified Visual Decoding


REFINE2: A tool to evaluate real-world performance of machine-learning based effect estimators for molecular and clinical studies


REFINE: Inversion-Free Backdoor Defense via Model Reprogramming


REFINE: Reachability-based Trajectory Design using Robust Feedback Linearization and Zonotopes


REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data


REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays


REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction


REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting


REFORM: Fast and Adaptive Solution for Subteam Replacement


REFORM: Recognizing F-formations for Social Robots


REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices


REFeREE: A REference-FREE Model-Based Metric for Text Simplification


REG: Refined Generalized Focal Loss for Road Asset Detection on Thai Highways Using Vision-Based Detection and Segmentation Models


REGAL: Representation Learning-based Graph Alignment


REGE: A Method for Incorporating Uncertainty in Graph Embeddings


REGNet V2: End-to-End REgion-based Grasp Detection Network for Grippers of Different Sizes in Point Clouds


REGNet: REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds


REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter


REGTR: End-to-end Point Cloud Correspondences with Transformers


REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions


REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines


REINFOREST: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search Models


REInstruct: Building Instruction Data from Unlabeled Corpus


RELATE: A Modern Processing Platform for Romanian Language


RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces


RELIANT: Fair Knowledge Distillation for Graph Neural Networks


RELICT: A Replica Detection Framework for Medical Image Generation


RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning


RELIKE: Reionization Effective Likelihood from Planck 2018 Data


RELINE: Point-of-Interest Recommendations using Multiple Network Embeddings


RELLIS-3D Dataset: Data, Benchmarks and Analysis


RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization


REMAST: Real-time Emotion-based Music Arrangement with Soft Transition


REMEDI: Corrective Transformations for Improved Neural Entropy Estimation


REMIND Your Neural Network to Prevent Catastrophic Forgetting


REMM:Rotation-Equivariant Framework for End-to-End Multimodal Image Matching


REMOD: Relation Extraction for Modeling Online Discourse


REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders


RENI++ A Rotation-Equivariant, Scale-Invariant, Natural Illumination Prior


RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds


REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training


REPAIR: REnormalizing Permuted Activations for Interpolation Repair


REPAIR: Removing Representation Bias by Dataset Resampling


REPARO: Compositional 3D Assets Generation with Differentiable 3D Layout Alignment


REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability


REPETITA: Repeatable Experiments for Performance Evaluation of Traffic-Engineering Algorithms


REPID: Regional Effect Plots with implicit Interaction Detection


REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories


REPQC: Reverse Engineering and Backdooring Hardware Accelerators for Post-quantum Cryptography


REPS: Reconstruction-based Point Cloud Sampling


REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training


REPUBLIC: A variability-preserving systematic-correction algorithm for PLATO's multi-camera light curves


REQA: Coarse-to-fine Assessment of Image Quality to Alleviate the Range Effect


REQUIEM-2D: Spatially Resolved Stellar Populations from HST 2D Grism Spectroscopy


RES-Q: Evaluating Code-Editing Large Language Model Systems at the Repository Scale


RESA: Recurrent Feature-Shift Aggregator for Lane Detection


RESAA: A Removal and Structural Analysis Attack Against Compound Logic Locking


RESC: A Reinforcement Learning Based Search-to-Control Framework for Quadrotor Local Planning in Dense Environments


RESCQ: Realtime Scheduling for Continuous Angle Quantum Error Correction Architectures


RESCUER: Cosmological K-corrections for star clusters


RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL


RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor


RESMETRIC: Analyzing Resilience to Enable Research on Antifragility


RESOLVE: Relational Reasoning with Symbolic and Object-Level Features Using Vector Symbolic Processing


RESPECT: Reinforcement Learning based Edge Scheduling on Pipelined Coral Edge TPUs


RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations


RESPLE: Recursive Spline Estimation for LiDAR-Based Odometry


RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability


RESSCAL3D++: Joint Acquisition and Semantic Segmentation of 3D Point Clouds


REST API Fuzzing by Coverage Level Guided Blackbox Testing


REST-HANDS: Rehabilitation with Egocentric Vision Using Smartglasses for Treatment of Hands after Surviving Stroke


REST: Debiased Social Recommendation via Reconstructing Exposure Strategies


REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training


REST: Retrieval-Based Speculative Decoding


REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once


RESTAD: REconstruction and Similarity based Transformer for time series Anomaly Detection


RESTOR: Knowledge Recovery through Machine Unlearning


RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction


RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports


RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit


RETR: Multi-View Radar Detection Transformer for Indoor Perception


RETSim: Resilient and Efficient Text Similarity


RETVec: Resilient and Efficient Text Vectorizer


REV: Information-Theoretic Evaluation of Free-Text Rationales


REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability


REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLM


REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory


REVECA -- Rich Encoder-decoder framework for Video Event CAptioner


REVEL Framework to measure Local Linear Explanations for black-box models: Deep Learning Image Classification case of study


REVERSUM: A Multi-staged Retrieval-Augmented Generation Method to Enhance Wikipedia Tail Biographies through Personal Narratives


REVEX: A Unified Framework for Removal-Based Explainable Artificial Intelligence in Video


REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering


REX: Causal Discovery based on Machine Learning and Explainability techniques


REX: Reasoning-aware and Grounded Explanation


REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking


REXUP: I REason, I EXtract, I UPdate with Structured Compositional Reasoning for Visual Question Answering


REflex: Flexible Framework for Relation Extraction in Multiple Domains


REvoLd: Ultra-Large Library Screening with an Evolutionary Algorithm in Rosetta


REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer


REvolver: Automated running and matching of couplings and masses in QCD


RExBench: Can coding agents autonomously implement AI research extensions?


RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge


RF Signal Transformation and Classification using Deep Neural Networks


RF-3DGS: Wireless Channel Modeling with Radio Radiance Field and 3D Gaussian Splatting


RF-BayesPhysNet: A Bayesian rPPG Uncertainty Estimation Method for Complex Scenarios


RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion


RF-GNN: Random Forest Boosted Graph Neural Network for Social Bot Detection


RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition


RF-Transformer: A Unified Backscatter Radio Hardware Abstraction


RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency Wavefronts


RFAConv: Innovating Spatial Attention and Standard Convolutional Operation


RFBoost: Understanding and Boosting Deep WiFi Sensing via Physical Data Augmentation


RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation


RFEPS: Reconstructing Feature-line Equipped Polygonal Surface


RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier Features


RFI Detection with Spiking Neural Networks


RFID based Health Adherence Medicine Case Using Fair Federated Learning


RFID-Based Indoor Spatial Query Evaluation with Bayesian Filtering Techniques


RFL-CDNet: Towards Accurate Change Detection via Richer Feature Learning


RFL: Simplifying Chemical Structure Recognition with Ring-Free Language


RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World


RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection


RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation


RFN-Nest: An end-to-end residual fusion network for infrared and visible images


RFNet-4D++: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds with Cross-Attention Spatio-Temporal Features


RFR-WWANet: Weighted Window Attention-Based Recovery Feature Resolution Network for Unsupervised Image Registration


RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications


RFSR: Improving ISR Diffusion Models via Reward Feedback Learning


RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification


RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction


RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering


RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmark


RG evolution and effect of intermediate new physics on $ΔB=2$ six-quark operators


RG-Attn: Radian Glue Attention for Multi-modality Multi-agent Cooperative Perception


RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior


RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation


RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images


RGB Stream Is Enough for Temporal Action Detection


RGB cameras failures and their effects in autonomous driving applications


RGB-D Indiscernible Object Counting in Underwater Scenes


RGB-D Inertial Odometry for a Resource-Restricted Robot in Dynamic Environments


RGB-D Local Implicit Function for Depth Completion of Transparent Objects


RGB-D Railway Platform Monitoring and Scene Understanding for Enhanced Passenger Safety


RGB-D Saliency Detection via Cascaded Mutual Information Minimization


RGB-D Salient Object Detection via 3D Convolutional Neural Networks


RGB-D-E: Event Camera Calibration for Fast 6-DOF Object Tracking


RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects


RGB-Event ISP: The Dataset and Benchmark


RGB-L: Enhancing Indirect Visual SLAM using LiDAR-based Dense Depth Maps


RGB-Sonar Tracking Benchmark and Spatial Cross-Attention Transformer Tracker


RGB-T Multi-Modal Crowd Counting Based on Transformer


RGB-T Semantic Segmentation with Location, Activation, and Sharpening


RGB-T Tracking via Multi-Modal Mutual Prompt Learning


RGB-X Object Detection via Scene-Specific Fusion Modules


RGB-based Category-level Object Pose Estimation via Decoupled Metric Scale Recovery


RGB2LIDAR: Towards Solving Large-Scale Cross-Modal Visual Localization


RGBAvatar: Reduced Gaussian Blendshapes for Online Modeling of Head Avatars


RGBD Object Tracking: An In-depth Review


RGBD-Dog: Predicting Canine Pose from RGBD Sensors


RGBD1K: A Large-scale Dataset and Benchmark for RGB-D Object Tracking


RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting


RGBDTAM: A Cost-Effective and Accurate RGB-D Tracking and Mapping System


RGBTrack: Fast, Robust Depth-Free 6D Pose Estimation and Tracking


RGBeta: A Mathematica Package for the Evaluation of Renormalization Group $ β$-Functions


RGBiD-SLAM for Accurate Real-time Localisation and 3D Mapping


RGC-Bent: A Novel Dataset for Bent Radio Galaxy Classification


RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding


RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design


RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance


RGDA-DDI: Residual graph attention network and dual-attention based framework for drug-drug interaction prediction


RGE solver for the complete dim-7 SMEFT interactions and its application to $0νββ$ decay


RGFN: Synthesizable Molecular Generation Using GFlowNets


RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs


RGM: A Robust Generalizable Matching Model


RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems


RH-Map: Online Map Construction Framework of Dynamic Objects Removal Based on Region-wise Hash Map Structure


RH-Net: Improving Neural Relation Extraction via Reinforcement Learning and Hierarchical Relational Searching


RHALE: Robust and Heterogeneity-aware Accumulated Local Effects


RHAPSODIE: Reconstruction of High-contrAst Polarized SOurces and Deconvolution for cIrcumstellar Environments


RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs


RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning


RHIC $\sqrt{s_{NN}}=200$ GeV hadron yields and the isospin dependent equation of state


RHLE: Modular Deductive Verification of Relational $\forall\exists$ Properties


RHMC with Block Solvers and Multiple Pseudofermions


RHO ($ρ$): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding


RHOG: A Refinement-Operator Library for Directed Labeled Graphs


RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning


RI3D: Few-Shot Gaussian Splatting With Repair and Inpainting Diffusion Priors


RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN


RIC-O: Efficient placement of a disaggregated and distributed RAN Intelligent Controller with dynamic clustering of radio nodes


RICA2: Rubric-Informed, Calibrated Assessment of Actions


RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation


RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks


RICO-MR: An Open-Source Architecture for Robot Intent Communication through Mixed Reality


RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction


RICoTA: Red-teaming of In-the-wild Conversation with Test Attempts


RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning


RID-Noise: Towards Robust Inverse Design under Noisy Environments


RID-TWIN: An end-to-end pipeline for automatic face de-identification in videos


RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors


RIDDLE: Race and ethnicity Imputation from Disease history with Deep LEarning


RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars


RIDERS: Radar-Infrared Depth Estimation for Robust Sensing


RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models


RIFL: A Reliable Link Layer Network Protocol for Data Center Communication


RIFLE: Imputation and Robust Inference from Low Order Marginals


RIFO: Pushing the Efficiency of Programmable Packet Schedulers


RIFT2: Speeding-up RIFT with A New Rotation-Invariance Technique


RIGA at SemEval-2016 Task 8: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing Accuracy


RIGHT: Retrieval-augmented Generation for Mainstream Hashtag Recommendation


RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes


RIGNO: A Graph-based framework for robust and accurate operator learning for PDEs on arbitrary domains


RIGOLETTO -- RIemannian GeOmetry LEarning: applicaTion To cOnnectivity. A contribution to the Clinical BCI Challenge -- WCCI2020


RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracy


RILS: Masked Visual Reconstruction in Language Semantic Space


RIM: Reliable Influence-based Active Learning on Graphs


RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences


RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth


RINO: Accurate, Robust Radar-Inertial Odometry with Non-Iterative Estimation


RIO: 3D Object Instance Re-Localization in Changing Indoor Environments


RIP Twitter API: A eulogy to its vast research contributions


RIPE: Reinforcement Learning on Unlabeled Image Pairs for Robust Keypoint Extraction


RIPPLECOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context Learning


RIS-ADMM: A RIS and ADMM-Based Passive and Sparse Sensing Method With Interference Removal


RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval


RISAN: Robust Instance Specific Abstention Network


RISC-Q: A Generator for Real-Time Quantum Control System-on-Chips Compatible with RISC-V


RISC: Generating Realistic Synthetic Bilingual Insurance Contract


RISCuer: A Reliable Multi-UAV Search and Rescue Testbed


RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG Classifier


RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation


RISE: Robust Individualized Decision Learning with Sensitive Variables


RISING a new framework for few-view tomographic image reconstruction with deep learning


RIScatter: Unifying Backscatter Communication and Reconfigurable Intelligent Surface


RISnet: A Scalable Approach for Reconfigurable Intelligent Surface Optimization with Partial CSI


RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation


RITHMS : An advanced stochastic framework for the simulation of transgenerational hologenomic data


RIZE: Regularized Imitation Learning via Distributional Reinforcement Learning


RIoTBench: A Real-time IoT Benchmark for Distributed Stream Processing Platforms


RIs-Calib: An Open-Source Spatiotemporal Calibrator for Multiple 3D Radars and IMUs Based on Continuous-Time Estimation


RJ-plots: An improved method to classify structures objectively


RJUA-QA: A Comprehensive QA Dataset for Urology


RK-core: An Established Methodology for Exploring the Hierarchical Structure within Datasets


RKHS-BA: A Robust Correspondence-Free Multi-View Registration Framework with Semantic Point Clouds


RKT : Relation-Aware Self-Attention for Knowledge Tracing


RKappa: Software for Analyzing Rule-Based Models


RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning


RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-day Attacks in IoT


RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold


RL$^3$: Boosting Meta Reinforcement Learning via RL inside RL$^2$


RL-I2IT: Image-to-Image Translation with Deep Reinforcement Learning


RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement


RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing


RL-Obfuscation: Can Language Models Learn to Evade Latent-Space Monitors?


RL-PGO: Reinforcement Learning-based Planar Pose-Graph Optimization


RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration


RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads


RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization


RL-X: A Deep Reinforcement Learning Library (not only) for RoboCup


RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing


RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System


RLBench: The Robot Learning Benchmark & Learning Environment


RLBenchNet: The Right Network for the Right Reinforcement Learning Task


RLCD: Reinforcement Learning from Contrastive Distillation for Language Model Alignment


RLCoder: Reinforcement Learning for Repository-Level Code Completion


RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning


RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees


RLFlow: Optimising Neural Network Subgraph Transformation with World Models


RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes


RLIBM-32: High Performance Correctly Rounded Math Libraries for 32-bit Floating Point Representations


RLIBM-ALL: A Novel Polynomial Approximation Method to Produce Correctly Rounded Results for Multiple Representations and Rounding Modes


RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation


RLOP: RL Methods in Option Pricing from a Mathematical Perspective


RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms


RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation


RLSS: Real-time Multi-Robot Trajectory Replanning using Linear Spatial Separations


RLSbench: Domain Adaptation Under Relaxed Label Shift


RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement Learning


RLStop: A Reinforcement Learning Stopping Method for TAR


RLSynC: Offline-Online Reinforcement Learning for Synthon Completion


RLTF: Reinforcement Learning from Unit Test Feedback


RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer Interactions


RLVF: Learning from Verbal Feedback without Overgeneralization


RLVR-World: Training World Models with Reinforcement Learning


RLWE and PLWE over cyclotomic fields are not equivalent


RLZAP: Relative Lempel-Ziv with Adaptive Pointers


RLeave: an in silico cross-validation protocol for transcript differential expression analysis


RLgraph: Modular Computation Graphs for Deep Reinforcement Learning


RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning


RLupus: Cooperation through emergent communication in The Werewolf social deduction game


RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch


RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style


RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes


RMAFF-PSN: A Residual Multi-Scale Attention Feature Fusion Photometric Stereo Network


RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inferences


RMB: Comprehensively Benchmarking Reward Models in LLM Alignment


RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control


RMCBench: Benchmarking Large Language Models' Resistance to Malicious Code


RMDM: Radio Map Diffusion Model with Physics Informed


RME-GAN: A Learning Framework for Radio Map Estimation based on Conditional Generative Adversarial Network


RMES: Real-Time Micro-Expression Spotting Using Phase From Riesz Pyramid


RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on


RMIT-ADM+S at the SIGIR 2025 LiveRAG Challenge


RMLStreamer-SISO: an RDF stream generator from streaming heterogeneous data


RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining


RMNet: Equivalently Removing Residual Connection from Networks


RMP: A Random Mask Pretrain Framework for Motion Prediction


RMPCDMD: Simulations of colloids with coarse-grained hydrodynamics, chemical reactions and external fields


RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose Estimation


RMSim: Controlled Respiratory Motion Simulation on Static Patient Scans


RMT: Retentive Networks Meet Vision Transformers


RMVPE: A Robust Model for Vocal Pitch Estimation in Polyphonic Music


RMap: Millimeter-Wave Radar Mapping Through Volumetric Upsampling


RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation


RN-F: A Novel Approach for Mitigating Contaminated Data in Large Language Models


RN-SDEs: Limited-Angle CT Reconstruction with Residual Null-Space Diffusion Stochastic Differential Equations


RNA Secondary Structure Prediction By Learning Unrolled Algorithms


RNA secondary structures: from ab initio prediction to better compression, and back


RNA, local moves on plane trees, and transpositions on tableaux


RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching


RNAglib: A Python Package for RNA 2.5D Graphs


RNAiFold2T: Constraint Programming design of thermo-IRES switches


RNC: Efficient RRAM-aware NAS and Compilation for DNNs on Resource-Constrained Edge Devices


RNN Approaches to Text Normalization: A Challenge


RNN Architecture Learning with Sparse Regularization


RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm


RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting


RNN-Transducer-based Losses for Speech Recognition on Noisy Targets


RNN-based counterfactual prediction, with an application to homestead policy and public schooling


RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization


RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval


RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency


RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks


RNNs on Monitoring Physical Activity Energy Expenditure in Older People


RNeXML: a package for reading and writing richly annotated phylogenetic, character, and trait data in R


RO-MAP: Real-Time Multi-Object Mapping with Neural Radiance Fields


ROAD-R: The Autonomous Driving Dataset with Logical Requirements


ROAD: The ROad event Awareness Dataset for Autonomous Driving


ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection for ABSA


ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization


ROBUSfT: Robust Real-Time Shape-from-Template, a C++ Library


ROCA: Robust CAD Model Retrieval and Alignment from a Single Image


ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation


ROCK: Causal Inference Principles for Reasoning about Commonsense Causality


ROCKER: A Refinement Operator for Key Discovery


ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting


ROCO: A Roundabout Traffic Conflict Dataset


ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation


ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset


ROCS-Derived Features for Virtual Screening


ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference with and without Covariate Information


ROD: Reception-aware Online Distillation for Sparse Graphs


RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection


RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples


ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion


ROG-Map: An Efficient Robocentric Occupancy Grid Map for Large-scene and High-resolution LiDAR-based Motion Planning


ROGER: Reconstructing Orbits of Galaxies in Extreme Regions using machine learning techniques


ROI Pooled Correlation Filters for Visual Tracking


ROIPCA: An online memory-restricted PCA algorithm based on rank-one updates


ROIsGAN: A Region Guided Generative Adversarial Framework for Murine Hippocampal Subregion Segmentation


ROLL: Long-Term Robust LiDAR-based Localization With Temporary Mapping in Changing Environments


ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning


ROLO-SLAM: Rotation-Optimized LiDAR-Only SLAM in Uneven Terrain with Ground Vehicle


ROMA: Multi-Agent Reinforcement Learning with Emergent Roles


ROMAN: Open-Set Object Map Alignment for Robust View-Invariant Global Localization


ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common Sense


ROMEO: Exploring Juliet through the Lens of Assembly Language


ROMO: Retrieval-enhanced Offline Model-based Optimization


RONA: Pragmatically Diverse Image Captioning with Coherence Relations


RONELD: Robust Neural Network Output Enhancement for Active Lane Detection


ROOAD: RELLIS Off-road Odometry Analysis Dataset


ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI


RORA: Robust Free-Text Rationale Evaluation


RORL: Robust Offline Reinforcement Learning via Conservative Smoothing


RORem: Training a Robust Object Remover with Human-in-the-Loop


ROS and Buzz: consensus-based behaviors for heterogeneous teams


ROS-Based Multi-Agent Systems COntrol Simulation Testbed (MASCOT)


ROS-Causal: A ROS-based Causal Analysis Framework for Human-Robot Interaction Applications


ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving Object


ROS2-Based Simulation Framework for Cyberphysical Security Analysis of UAVs


ROSA: A Knowledge-based Solution for Robot Self-Adaptation


ROSA: Random Subspace Adaptation for Efficient Fine-Tuning


ROSA: Reconstructing Object Shape and Appearance Textures by Adaptive Detail Transfer


ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection


ROSARL: Reward-Only Safe Reinforcement Learning


ROSAnnotator: A Web Application for ROSBag Data Analysis in Human-Robot Interaction


ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding


ROSE Random Forests for Robust Semiparametric Efficient Estimation


ROSE: A Recognition-Oriented Speech Enhancement Framework in Air Traffic Control Using Multi-Objective Learning


ROSE: Robust Selective Fine-tuning for Pre-trained Language Models


ROSGPT_Vision: Commanding Robots Using Only Language Models' Prompts


ROSIA: Rotation-Search-Based Star Identification Algorithm


ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques


ROSO: Improving Robotic Policy Inference via Synthetic Observations


ROSpace: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System


ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork


ROUGE-K: Do Your Summaries Have Keywords?


ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL


ROVER: A Multi-Season Dataset for Visual SLAM


RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media


RP-SAM2: Refining Point Prompts for Stable Surgical Instrument Segmentation


RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments


RPATTACK: Refined Patch Attack on General Object Detectors


RPBA -- Robust Parallel Bundle Adjustment Based on Covariance Information


RPBG: Towards Robust Neural Point-based Graphics in the Wild


RPC: A Modular Framework for Robot Planning, Control, and Deployment


RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection


RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation


RPGAN: GANs Interpretability via Random Routing


RPKI-Based Location-Unaware Tor Guard Relay Selection Algorithms


RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans


RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud


RPM-Net: Robust Point Matching using Learned Features


RPMArt: Towards Robust Perception and Manipulation for Articulated Objects


RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding


RPNet: an End-to-End Network for Relative Camera Pose Estimation


RPS: A Generic Reservoir Patterns Sampler


RPS: Portfolio Asset Selection using Graph based Representation Learning


RPT: Effective and Efficient Retrieval of Program Translations from Big Code


RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training


RPTQ: Reorder-based Post-training Quantization for Large Language Models


RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question


RR Lyrae-based Distances for 39 Nearby Dwarf Galaxies Calibrated to Gaia eDR3


RRCNN: A novel signal decomposition approach based on recurrent residue convolutional neural network


RRPN++: Guidance Towards More Accurate Scene Text Detection


RRULES: An improvement of the RULES rule-based classifier


RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification


RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent


RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion


RS-GPT4V: A Unified Multimodal Instruction-Following Dataset for Remote Sensing Image Understanding


RS-MTDF: Multi-Teacher Distillation and Fusion for Remote Sensing Semi-Supervised Semantic Segmentation


RS-Mamba for Large Remote Sensing Image Dense Prediction


RS-NeRF: Neural Radiance Fields from Rolling Shutter Images


RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours


RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing


RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario Understanding


RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing


RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework


RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets


RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions


RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark


RSAdapter: Adapting Multimodal Models for Remote Sensing Visual Question Answering


RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model


RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding


RSCFed: Random Sampling Consensus Federated Semi-supervised Learning


RSCNet: Dynamic CSI Compression for Cloud-based WiFi Sensing


RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters


RSG: A Simple but Effective Module for Learning Imbalanced Datasets


RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image Dehazing


RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data


RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework


RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor


RSL-SQL: Robust Schema Linking in Text-to-SQL Generation


RSM-NLP at BLP-2023 Task 2: Bangla Sentiment Analysis using Weighted and Majority Voted Fine-Tuned Transformers


RSMT: Real-time Stylized Motion Transition for Characters


RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning


RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model


RSQ: Learning from Important Tokens Leads to Better Quantized LLMs


RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models


RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models


RSTAR4D: Rotational Streak Artifact Reduction in 4D CBCT using a Separable 4D CNN


RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution


RSTeller: Scaling Up Visual Language Modeling in Remote Sensing with Rich Linguistic Semantics from Openly Available Data and Large Language Models


RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts


RSVP-graphs: Fast High-dimensional Covariance Matrix Estimation under Latent Confounding


RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training


RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards


RSpell: Retrieval-augmented Framework for Domain Adaptive Chinese Spelling Check


RT-1: Robotics Transformer for Real-World Control at Scale


RT-Bench: an Extensible Benchmark Framework for the Analysis and Management of Real-Time Applications


RT-DEMT: A hybrid real-time acupoint detection model combining mamba and transformer


RT-DETRv3: Real-time End-to-End Object Detection with Hierarchical Dense Positive Supervision


RT-GS2: Real-Time Generalizable Semantic Segmentation for 3D Gaussian Representations of Radiance Fields


RT-Gang: Real-Time Gang Scheduling Framework for Safety-Critical Systems


RT-K-Net: Revisiting K-Net for Real-Time Panoptic Segmentation


RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation


RT-SRTS: Angle-Agnostic Real-Time Simultaneous 3D Reconstruction and Tumor Segmentation from Single X-Ray Projection


RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement


RT-utils: A Minimal Python Library for RT-struct Manipulation


RTA-Former: Reverse Transformer Attention for Polyp Segmentation


RTAEval: A framework for evaluating runtime assurance logic


RTAMT: Online Robustness Monitors from STL


RTBAgent: A LLM-based Agent System for Real-Time Bidding


RTClean: Context-aware Tabular Data Cleaning using Real-time OFDs


RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks


RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams


RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation


RTGen: Generating Region-Text Pairs for Open-Vocabulary Object Detection


RTLRewriter: Methodologies for Large Models aided RTL Code Optimization


RTNN: Accelerating Neighbor Search Using Hardware Ray Tracing


RTNeural: Fast Neural Inferencing for Real-Time Systems


RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios?


RTP: Rethinking Tensor Parallelism with Memory Deduplication


RTQ: Rethinking Video-language Understanding Based on Image-text Model


RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving


RTSMS: Randomized Tucker with single-mode sketching


RTSNet: Learning to Smooth in Partially Known State-Space Models (Preprint)


RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning through Real-Time Video


RTify: Aligning Deep Neural Networks with Human Behavioral Decisions


RTj: a Java framework for detecting and refactoring rotten green test cases


RTracker: Recoverable Tracking via PN Tree Structured Memory


RU-Net: Regularized Unrolling Network for Scene Graph Generation


RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict


RUArt: A Novel Text-Centered Solution for Text-Based Visual Question Answering


RUBICON: A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers


RUBIS: a simple tool for calculating the centrifugal deformation of stars and planets


RUIE: Retrieval-based Unified Information Extraction using Large Language Model


RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models


RULER: What's the Real Context Size of Your Long-Context Language Models?


RULF: Rust Library Fuzzing via API Dependency Graph Traversal


RUMBoost: Gradient Boosted Random Utility Models


RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation


RUPBench: Benchmarking Reasoning Under Perturbations for Robustness Evaluation in Large Language Models


RV measurements of directly imaged brown dwarf GQ Lup B to search for exo-satellites


RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network


RV-exoplanet eccentricities: Good, Beta, and Best


RV4Chatbot: Are Chatbots Allowed to Dream of Electric Sheep?


RV4JaCa -- Runtime Verification for Multi-Agent Systems


RVAE-EM: Generative speech dereverberation based on recurrent variational auto-encoder and convolutive transfer function


RVAE-LAMOL: Residual Variational Autoencoder to Enhance Lifelong Language Learning


RVMDE: Radar Validated Monocular Depth Estimation for Robotics


RVOS: End-to-End Recurrent Network for Video Object Segmentation


RVSDG: An Intermediate Representation for Optimizing Compilers


RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-supervised Learning


RVTBench: A Benchmark for Visual Reasoning Tasks


RWEN-TTS: Relation-aware Word Encoding Network for Natural Text-to-Speech Synthesis


RWF-2000: An Open Large Scale Video Database for Violence Detection


RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models


RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image Segmentation


RWKV-X: A Linear Complexity Hybrid Language Model


RWKVTTS: Yet another TTS based on RWKV-7


RWP+: A New Random Waypoint Model for High-Speed Mobility


RWebData: A High-Level Interface to the Programmable Web


RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases


RZSR: Reference-based Zero-Shot Super-Resolution with Depth Guided Self-Exemplars


R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation


RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation


RaDe-GS: Rasterizing Depth in Gaussian Splatting


RaDeR: Reasoning-aware Dense Retrieval Models


RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance


RaDur: A Reference-aware and Duration-robust Network for Target Sound Detection


RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation


RaLL: End-to-end Radar Localization on Lidar Map Using Differentiable Measurement Model


RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models


RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction


RaNDT SLAM: Radar SLAM Based on Intensity-Augmented Normal Distributions Transform


RaNeuS: Ray-adaptive Neural Surface Reconstruction


RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization


RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval


RaPlace: Place Recognition for Imaging Radar using Radon Transform and Mutable Threshold


RaSE: A Variable Screening Framework via Random Subspace Ensembles


RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search


RaSeRec: Retrieval-Augmented Sequential Recommendation


RaSpectLoc: RAman SPECTroscopy-dependent robot LOCalisation


RaTE: a Reproducible automatic Taxonomy Evaluation by Filling the Gap


RaTEScore: A Metric for Radiology Report Generation


RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud


RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models


RabakBench: Scaling Human Annotations to Construct Localized Multilingual Safety Benchmarks for Low-Resource Languages


Rabia: Simplifying State-Machine Replication Through Randomization


Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications


Raccoons vs Demons: multiclass labeled P300 dataset


Race Against the Machine: a Fully-annotated, Open-design Dataset of Autonomous and Piloted High-speed Flight


RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing using Residual Policy Learning


RaceTEE: A Practical Privacy-Preserving Off-Chain Smart Contract Execution Architecture


Racial Disparities in the Enforcement of Marijuana Violations in the US


Racial/ethnic and socioeconomic disparities of Covid-19 attacks rates in Suffolk County communities


Racing With ROS 2 A Navigation System for an Autonomous Formula Student Race Car


RacketStore: Measurements of ASO Deception in Google Play via Mobile and App Usage


Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting


RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models


RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment


RadDQN: a Deep Q Learning-based Architecture for Finding Time-efficient Minimum Radiation Exposure Pathway


RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection


RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection


RadGPT: Constructing 3D Image-Text Tumor Datasets


RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis


RadMamba: Efficient Human Activity Recognition through Radar-based Micro-Doppler-Oriented Mamba State-Space Model


RadaRays: Real-time Simulation of Rotating FMCW Radar for Mobile Robotics via Hardware-accelerated Ray Tracing


Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration


Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion


Radar de Parité: An NLP system to measure gender representation in French news stories


Radar-STDA: A High-Performance Spatial-Temporal Denoising Autoencoder for Interference Mitigation of FMCW Radars


Radar-to-Lidar: Heterogeneous Place Recognition via Joint Learning


Radar: Fast Long-Context Decoding for Any Transformer


RadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale


RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features


RadarFormer: Lightweight and Accurate Real-Time Radar Object Detection Model


RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception


RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation


RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar


Rademacher Complexity for Adversarially Robust Generalization


Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series


RadiK: Scalable and Optimized GPU-Parallel Radix Top-K Selection


Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability


Radial Basis Function Neural Networks for Formation Control of Unmanned Aerial Vehicles


Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning


Radial Icicle Tree (RIT): Node Separation and Area Constancy


Radial Intersection Count Image: a Clutter Resistant 3D Shape Descriptor


Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes


Radial Partitioning with Spectral Penalty Parameter Selection in Distributed Optimization for Power Systems


Radial Prediction Domain Adaption Classifier for the MIDOG 2022 Challenge


Radial Velocity and Astrometric Evidence for a Close Companion to Betelgeuse


Radial and Directional Posteriors for Bayesian Neural Networks


Radial-Based Undersampling for Imbalanced Data Classification


Radial-angular coupling in self phase modulation with structured light


RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks


Radiance Cascades: A Novel High-Resolution Formal Solution for Multidimensional Non-LTE Radiative Transfer


Radiance Field Delta Video Compression in Edge-Enabled Vehicular Metaverse


Radiation from rapidly rotating oblate neutron stars


Radiation tolerant, thin, passive CMOS sensors read out with the RD53A chip


Radiative Backpropagation with Non-Static Geometry


Radiative Transfer For Variable 3D Atmospheres


Radiative corrections to the Lorentzian EPRL spin foam propagator


Radiative neutrino models in light of diphoton signals


Radiative transfer modelling of W33A MM1: 3-D structure and dynamics of a complex massive star forming region


Radically Old Way of Computing Spectra: Applications in End-to-End ASR


Radio Crickets: Chirping Jets from Black Hole Binaries Entering their Gravitational Wave Inspiral


Radio Emission from Outflow-Cloud Interaction and Its Constraint on TDE Outflow


Radio Frequency Signal based Human Silhouette Segmentation: A Sequential Diffusion Approach


Radio Galaxy Morphology Generation Using DNN Autoencoder and Gaussian Mixture Models


Radio Galaxy Zoo: Towards building the first multi-purpose foundation model for radio astronomy with self-supervised learning


Radio Map Estimation via Latent Domain Plug-and-Play Denoising


Radio Spectra of Luminous, Heavily Obscured WISE-NVSS Selected Quasars


Radio Weak Lensing Shear Measurement in the Visibility Domain - I. Methodology


Radio detections of IR-selected runaway stellar bow shocks


Radio monitoring of transient Be/X-ray binaries and the inflow-outflow coupling of strongly-magnetized accreting neutron stars


Radio source-component association for the LOFAR Two-metre Sky Survey with region-based convolutional neural networks


Radio$-γ-$ray response in blazars as a signature of adiabatic blob expansion


Radio-Optical Galaxy Shape Correlations in the COSMOS Field


Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model


Radio-opaque artefacts in digital mammography: automatic detection and analysis of downstream effects


RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction


RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks


RadioRAG: Factual large language models for enhanced diagnostics in radiology using online retrieval augmented generation


RadioSED I: Bayesian inference of radio SEDs from inhomogeneous surveys


RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification


RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks


Radioactive heat production of six geologically important nuclides


Radiogenic Neutron Yield Calculations for Low-Background Experiments


Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction


Radiology Text Analysis System (RadText): Architecture and Evaluation


Radiomic fingerprints for knee MR images assessment


Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays


Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes


RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features


RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features


Radius Adaptive Convolutional Neural Network


Radius selection using kernel density estimation for the computation of nonlinear measures


Radon Implicit Field Transform (RIFT): Learning Scenes from Radar Signals


RadonPy: Automated Physical Property Calculation using All-atom Classical Molecular Dynamics Simulations for Polymer Informatics


Raformer: Redundancy-Aware Transformer for Video Wire Inpainting


RaftMLP: How Much Can Be Done Without Attention and with Less Spatial Locality?


Rafting Towards Consensus: Formation Control of Distributed Dynamical Systems


Raidar: geneRative AI Detection viA Rewriting


Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting


Rail Detection: An Efficient Row-based Network and A New Benchmark


Rail journey cost calculator for Great Britain


Rain Removal from Light Field Images with 4D Convolution and Multi-scale Gaussian Process


Rain Sensing Automatic Car Wiper Using AT89C51 Microcontroller


RainAI -- Precipitation Nowcasting from Satellite Data


RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining


RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling


RainScaleGAN: a Conditional Generative Adversarial Network for Rainfall Downscaling


RainUNet for Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts


Rainblock: Faster Transaction Processing in Public Blockchains


Rainbow Memory: Continual Learning with a Memory of Diverse Samples


RainbowPlus: Enhancing Adversarial Prompt Generation via Evolutionary Quality-Diversity Search


Raindrops on Windshield: Dataset and Lightweight Gradient-Based Detection Algorithm


Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network


Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering


Raising context awareness in motion forecasting


Raising the Bar in Graph-level Anomaly Detection


Raising the ClaSS of Streaming Time Series Segmentation


Raising the Cost of Malicious AI-Powered Image Editing


Ram pressure stripping in clusters: Gravity can bind the ISM but not the CGM


RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit


Raman Signal Extraction from CARS Spectra Using a Learned-Matrix Representation of the Discrete Hilbert Transform


Raman spectroscopy in open world learning settings using the Objectosphere approach


RamanNet: A generalized neural network architecture for Raman Spectrum Analysis


RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis


Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation


Ramification conjecture and Hirzebruch's property of line arrangements


Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings


Ramp Up NTT in Record Time using GPU-Accelerated Algorithms and LLM-based Code Generation


Ramping Up Open-Source RISC-V Cores: Assessing the Energy Efficiency of Superscalar, Out-of-Order Execution


Ramsey numbers of Berge-hypergraphs and related structures


RamseyRL: A Framework for Intelligent Ramsey Number Counterexample Searching


RanDeS: Randomized Delta Superposition for Multi-Model Compression


RanLayNet: A Dataset for Document Layout Detection used for Domain Adaptation and Generalization


RanPAC: Random Projections and Pre-trained Models for Continual Learning


RandALO: Out-of-sample risk estimation in no time flat


RandFile package for Mathematica for accessing file-based sources of randomness


RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks


RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization


Randen - fast backtracking-resistant random generator with AES+Feistel+Reverie


Random Access Protocol with Channel Oracle Enabled by a Reconfigurable Intelligent Surface


Random Boxes Are Open-world Object Detectors


Random Competing Risks Forests for Large Data


Random Conical Tilt Reconstruction without Particle Picking in Cryo-electron Microscopy


Random Convolution Kernels with Multi-Scale Decomposition for Preterm EEG Inter-burst Detection


Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets


Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets


Random Directional Attack for Fooling Deep Neural Networks


Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs


Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation


Random Evolutionary Dynamics in Predator-Prey Systems Yields Large, Clustered Ecosystems


Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation


Random Feature Models for Learning Interacting Dynamical Systems


Random Features for High-Dimensional Nonlocal Mean-Field Games


Random Forest Prediction of Crystal Structure from Electron Diffraction Patterns Incorporating Multiple Scattering


Random Forest of Epidemiological Models for Influenza Forecasting


Random Forests as a viable method to select and discover high redshift quasars


Random Forests for Adaptive Nearest Neighbor Estimation of Information-Theoretic Quantities


Random Graph Asymptotics for Treatment Effect Estimation under Network Interference


Random Linear Projections Loss for Hyperplane-Based Optimization in Neural Networks


Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning


Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions


Random Max-CSPs Inherit Algorithmic Hardness from Spin Glasses


Random Planted Forest: a directly interpretable tree ensemble


Random Polyhedral Scenes: An Image Generator for Active Vision System Experiments


Random Projection Forest Initialization for Graph Convolutional Networks


Random Projection in Deep Neural Networks


Random Projection in Neural Episodic Control


Random Quantum Neural Networks (RQNN) for Noisy Image Recognition


Random Representations Outperform Online Continually Learned Representations


Random Reshuffling for Stochastic Gradient Langevin Dynamics


Random Reshuffling with Momentum for Nonconvex Problems: Iteration Complexity and Last Iterate Convergence


Random Reshuffling: Simple Analysis with Vast Improvements


Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method


Random Sampling Neural Network for Quantum Many-Body Problems


Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy


Random Sampling for Diffusion-based Adversarial Purification


Random Serial Dictatorship with Transfers


Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions


Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems


Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images


Random Sub-Samples Generation for Self-Supervised Real Image Denoising


Random Text Perturbations Work, but not Always


Random Walk Guided Hyperbolic Graph Distillation


Random Walk Models of Network Formation and Sequential Monte Carlo Methods for Graphs


Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes


Random Walk-based Community Key-members Search over Large Graphs


Random Walks with Tweedie: A Unified Framework for Diffusion Models


Random Walks, Conductance, and Resistance for the Connection Graph Laplacian


Random Warping Series: A Random Features Method for Time-Series Embedding


Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators


Random effects model-based sufficient dimension reduction for independent clustered data


Random feature baselines provide distributional performance and feature selection benchmarks for clinical and 'omic machine learning


Random feature-based double Vovk-Azoury-Warmuth algorithm for online multi-kernel learning


Random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation


Random geometry and the Kardar-Parisi-Zhang universality class


Random graphical model of microbiome interactions in related environments


Random heterogeneity outperforms design in network synchronization


Random initialisations performing above chance and how to find them


Random mappings designed for commercial search engines


Random matrices in service of ML footprint: ternary random features with no performance loss


Random matrix theory improved Fréchet mean of symmetric positive definite matrices


Random processes for generating task-dependency graphs


Random projection tree similarity metric for SpectralNet


Random projections and Kernelised Leave One Cluster Out Cross-Validation: Universal baselines and evaluation tools for supervised machine learning for materials properties


Random sampling of partitions and contingency tables: Two practical examples of the Burnside process


Random smooth gray value transformations for cross modality learning with gray value invariant networks


Random sub-Nyquist polarimetric modulator


Random walk and non-Gaussianity of the 3D second-quantized Schrödinger-Newton nonlocal soliton


Random walk models for the propagation of signalling molecules in one-dimensional spatial networks and their continuum limit


Random walk models in the life sciences: including births, deaths and local interactions


Random-effects substitution models for phylogenetics via scalable gradient approximations


Random-projection ensemble dimension reduction


Random-strain-induced correlations in materials with intertwined nematic and magnetic orders


Random-walk shielding-potential viscosity model for warm dense metals


RandomNet: Clustering Time Series Using Untrained Deep Neural Networks


RandomOut: Using a convolutional gradient norm to rescue convolutional filters


RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data


Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation


Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback


Randomised Splitting Methods and Stochastic Gradient Descent


Randomised Wasserstein Barycenter Computation: Resampling with Statistical Guarantees


Randomization Tests for Adaptively Collected Data


Randomization Tests in Observational Studies with Staggered Adoption of Treatment


Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success


Randomization inference with general interference and censoring


Randomization of Approximate Bilinear Computation for Matrix Multiplication


Randomization-based Inference for MCP-Mod


Randomized Adversarial Training via Taylor Expansion


Randomized Approach to Matrix Completion: Applications in Collaborative Filtering and Image Inpainting


Randomized Benchmarking of Local Zeroth-Order Optimizers for Variational Quantum Systems


Randomized C/C++ dynamic memory allocator


Randomized Confidence Bounds for Stochastic Partial Monitoring


Randomized Geometric Algebra Methods for Convex Neural Networks


Randomized K-FACs: Speeding up K-FAC with Randomized Numerical Linear Algebra


Randomized Kaczmarz Algorithm for Massive MIMO Systems with Channel Estimation and Spatial Correlation


Randomized Kaczmarz Methods with Beyond-Krylov Convergence


Randomized Large-Scale Quaternion Matrix Approximation: Practical Rangefinders and One-Pass Algorithm


Randomized Nyström Preconditioned Interior Point-Proximal Method of Multipliers


Randomized Nyström approximation of non-negative self-adjoint operators


Randomized Physics-Informed Neural Networks for Bayesian Data Assimilation


Randomized Positional Encodings Boost Length Generalization of Transformers


Randomized Progressive Hedging methods for Multi-stage Stochastic Programming


Randomized Schur Complement Views for Graph Contrastive Learning


Randomized Smoothing of All Shapes and Sizes


Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications


Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks


Randomized Spectral Clustering for Large-Scale Multi-Layer Networks


Randomized Subspace Newton Convex Method Applied to Data-Driven Sensor Selection Problem


Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces


Randomized algorithms for precise measurement of differentially-private, personalized recommendations


Randomized algorithms for rounding in the Tensor-Train format


Randomized algorithms for streaming low-rank approximation in tree tensor network format


Randomized and Exchangeable Improvements of Markov's, Chebyshev's and Chernoff's Inequalities


Randomized block proximal method with locally Lipschitz continuous gradient


Randomized block-Krylov subspace methods for low-rank approximation of matrix functions


Randomized geometric tools for anomaly detection in stock markets


Randomized iterative methods for generalized absolute value equations: Solvability and error bounds


Randomized least-squares with minimal oversampling and interpolation in general spaces


Randomized low-rank approximation of monotone matrix functions


Randomized low-rank approximation of parameter-dependent matrices


Randomized methods for dynamical low-rank approximation


Randomized methods for matrix computations


Randomized rounding algorithms for large scale unsplittable flow problems


Randomized sketching for Krylov approximations of large-scale matrix functions


Randomized sketching of nonlinear eigenvalue problems


Randomizing hypergraphs preserving degree correlation and local clustering


Randomly Projected Additive Gaussian Processes for Regression


Randomly weighted CNNs for (music) audio classification


Randomness In Neural Network Training: Characterizing The Impact of Tooling


Randomness Is All You Need: Semantic Traversal of Problem-Solution Spaces with Large Language Models


Randomness, Not Representation: The Unreliability of Evaluating Cultural Alignment in LLMs


Range Image-based LiDAR Localization for Autonomous Vehicles


Range and Bird's Eye View Fused Cross-Modal Visual Place Recognition


Range entropy: A bridge between signal complexity and self-similarity


Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Point Density Level Estimation


Range-Only Localization System for Small-Scale Flapping-Wing Robots


Range-Visual-Inertial Sensor Fusion for Micro Aerial Vehicle Localization and Navigation


RangeLDM: Fast Realistic LiDAR Point Cloud Generation


RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds


RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving


Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation


Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification


Rank Aggregation via Heterogeneous Thurstone Preference Models


Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks


Rank Intraclass Correlation for Clustered Data


Rank Pruning for Dominance Queries in CP-Nets


Rank Your Summaries: Enhancing Bengali Text Summarization via Ranking-based Approach


Rank conditional coverage and confidence intervals in high dimensional problems


Rank estimation for the accelerated failure time model with partially interval-censored data


Rank over Class: The Untapped Potential of Ranking in Natural Language Processing


Rank-1 Constrained Multichannel Wiener Filter for Speech Recognition in Noisy Environments


Rank-Aware Negative Training for Semi-Supervised Text Classification


Rank-Based Learning and Local Model Based Evolutionary Algorithm for High-Dimensional Expensive Multi-Objective Problems


Rank-Based Modeling for Universal Packets Compression in Multi-Modal Communications


Rank-DETR for High Quality Object Detection


Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-Ranking


Rank-K: Test-Time Reasoning for Listwise Reranking


Rank-N-Contrast: Learning Continuous Representations for Regression


Rank-One NMF-Based Initialization for NMF and Relative Error Bounds under a Geometric Assumption


Rank-Refining Seed Selection Methods for Budget Constrained Influence Maximisation in Multilayer Networks under Linear Threshold Model


Rank-based Bayesian clustering via covariate-informed Mallows mixtures


Rank-based Heuristics for Optimizing the Execution of Product Data Models


Rank-based loss for learning hierarchical representations


Rank-heterogeneous Preference Models for School Choice


Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values


Rank/Select Queries over Mutable Bitmaps


Rank1: Test-Time Compute for Reranking in Information Retrieval


RankCLIP: Ranking-Consistent Language-Image Pretraining


RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts


RankDNN: Learning to Rank for Few-shot Learning


RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses


RankFormer: Listwise Learning-to-Rank Using Listwide Labels


RankME: Reliable Human Ratings for Natural Language Generation


RankMamba: Benchmarking Mamba's Document Ranking Performance in the Era of Transformers


RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets


RankPO: Preference Optimization for Job-Talent Matching


RankPose: Learning Generalised Feature with Rank Supervision for Head Pose Estimation


RankQA: Neural Question Answering with Answer Re-Ranking


RankSEG: A Consistent Ranking-based Framework for Segmentation


RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression


RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier


Rankability and Linear Ordering Problem: New Probabilistic Insight and Algorithms


Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing


Ranked Entropy Minimization for Continual Test-Time Adaptation


Ranked Enumeration of Join Queries with Projections


Ranked List Truncation for Large Language Model-based Re-Ranking


Ranked Voting based Self-Consistency of Large Language Models


Rankformer: A Graph Transformer for Recommendation based on Ranking Objective


Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation


Ranking Clarifying Questions Based on Predicted User Engagement


Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization


Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs


Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System


Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies


Ranking Feature-Block Importance in Artificial Multiblock Neural Networks


Ranking Generated Answers: On the Agreement of Retrieval Models with Humans on Consumer Health Questions


Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives


Ranking Joint Policies in Dynamic Games using Evolutionary Dynamics


Ranking LLM-Generated Loop Invariants for Program Verification


Ranking Models in Unlabeled New Environments


Ranking Narrative Query Graphs for Biomedical Document Retrieval (Technical Report)


Ranking Online Social Users by their Influence


Ranking Sentences for Extractive Summarization with Reinforcement Learning


Ranking Structured Objects with Graph Neural Networks


Ranking Unraveled: Recipes for LLM Rankings in Head-to-Head AI Combat


Ranking Users in Social Networks with Motif-based PageRank


Ranking for Relevance and Display Preferences in Complex Presentation Layouts


Ranking nodes in bipartite systems with a non-linear iterative map


Ranking over Regression for Bayesian Optimization and Molecule Selection


Ranking protein-protein models with large language models and graph neural networks


Ranking vs. Classifying: Measuring Knowledge Base Completion Quality


Ranking with Confidence for Large Scale Comparison Data


Ranking with Ties based on Noisy Performance Data


Ranking with submodular functions on a budget


Ranking with submodular functions on the fly


Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features


Ranking-Enhanced Unsupervised Sentence Representation Learning


Ranking-aware adapter for text-driven image ordering with CLIP


Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph


RankingSHAP -- Listwise Feature Attribution Explanations for Ranking Models


Ranks of elliptic curves and deep neural networks


Ransomware Detection using Process Memory


Rao-Blackwellized Particle Smoothing for Simultaneous Localization and Mapping


Rao-Blackwellized Stochastic Gradients for Discrete Distributions


RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching


Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?


Rapid Adaptation of Neural Machine Translation to New Languages


Rapid Assessment of Stable Crystal Structures in Single Phase High Entropy Alloys Via Graph Neural Network Based Surrogate Modelling


Rapid Automated Mapping of Clouds on Titan With Instance Segmentation


Rapid Bayesian inference for expensive stochastic models


Rapid Collision Detection for Multicopter Trajectories


Rapid Conformational Analysis of Semi-Flexible Liquid Crystals


Rapid Convergence of Informed Importance Tempering


Rapid Deforestation and Burned Area Detection using Deep Multimodal Learning on Satellite Imagery


Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks


Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites


Rapid Estimation of Left Ventricular Contractility with a Physics-Informed Neural Network Inverse Modeling Approach


Rapid Experimentation with Python Considering Optional and Hierarchical Inputs


Rapid Image Labeling via Neuro-Symbolic Learning


Rapid Learning in Constrained Minimax Games with Negative Momentum


Rapid Methods for Modeling Overdensities of Massive Neutrinos and Other Non-Cold Relics


Rapid Multi-Physics Simulation for Electro-Thermal Origami Systems


Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets


Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia


Rapid Optimization of Superposition Codes for Multi-Hop NOMA MANETs via Deep Unfolding


Rapid Pose Label Generation through Sparse Representation of Unknown Objects


Rapid Response Crop Maps in Data Sparse Regions


Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation


Rapid Spectral Parameter Prediction for Black Hole X-Ray Binaries using Physicalised Autoencoders


Rapid Trajectory Optimization Using C-FROST with Illustration on a Cassie-Series Dynamic Walking Biped


Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming


Rapid and Robust Parameter Inference for Binary Mergers


Rapid and Robust Trajectory Optimization for Humanoids


Rapid and accurate molecular deprotonation energies from quantum alchemy


Rapid and accurate mosquito abundance forecasting with Aedes-AI neural networks


Rapid and deterministic estimation of probability densities using scale-free field theories


Rapid and robust endoscopic content area estimation: A lean GPU-based pipeline and curated benchmark dataset


Rapid cardiac activation prediction for cardiac resynchronization therapy planning using geometric deep learning


Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans


Rapid detection of phase transitions from Monte Carlo samples before equilibrium


Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning


Rapid model-guided design of organ-scale synthetic vasculature for biomanufacturing


Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions


Rapid morphology characterization of two-dimensional TMDs and lateral heterostructures based on deep learning


Rapid patient-specific neural networks for intraoperative X-ray to volume registration


Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA


Rapid screening of high-throughput ground state predictions


Rapid sorting of radio galaxy morphology using Haralick features


Rapid topographic scatter of near-inertial waves generated by storms


Rapid training of quantum recurrent neural networks


Rapid treatment planning for low-dose-rate prostate brachytherapy with TP-GAN


Rapid, High-resolution and Distortion-free $R_{2}^{*}$ Mapping of Fetal Brain using Multi-echo Radial FLASH and Model-based Reconstruction


Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural Representation


RapidEarth: A Search-by-Classification Engine for Large-Scale Geospatial Imagery


RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone


Rapidly Built Medical Crash Cart! Lessons Learned and Impacts on High-Stakes Team Collaboration in the Emergency Room


Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems


Rapidly Varying Completely Random Measures for Modeling Extremely Sparse Networks


Rapidly-Exploring Random Graph Next-Best View Exploration for Ground Vehicles


Rapport-Driven Virtual Agent: Rapport Building Dialogue Strategy for Improving User Experience at First Meeting


Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach


Rare Event Kinetics from Adaptive Bias Enhanced Sampling


Rare Events Analysis and Computation for Stochastic Evolution of Bacterial Populations


Rare Events of Host Switching for Diseases using a SIR Model with Mutations


Rare Gems: Finding Lottery Tickets at Initialization


Rare but Severe Neural Machine Translation Errors Induced by Minimal Deletion: An Empirical Study on Chinese and English


Rare decay $t\to cγγ$ via scalar leptoquark doublets


Rare event failure test case generation in Learning-Enabled-Controllers


Rare event probability estimation for groundwater inverse problems with a two-stage Sequential Monte Carlo approach


Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance


RareAct: A video dataset of unusual interactions


RareBench: Can LLMs Serve as Rare Diseases Specialists?


RareGAN: Generating Samples for Rare Classes


Rasa: Building Expressive Speech Synthesis Systems for Indian Languages in Low-resource Settings


Rashomon Capacity: A Metric for Predictive Multiplicity in Classification


Raster Forge: Interactive Raster Manipulation Library and GUI for Python


RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation


Ratchet current and scaling properties in a nontwist mapping


Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?


Rate Maximizations for Reconfigurable Intelligent Surface-Aided Wireless Networks: A Unified Framework via Block Minorization-Maximization


Rate of Model Collapse in Recursive Training


Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language Models


Rate-Accuracy Trade-Off In Video Classification With Deep Convolutional Neural Networks


Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative Models


Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning


Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation


Rate-Optimal Robust Estimation of High-Dimensional Vector Autoregressive Models


Rate-Splitting for Intelligent Reflecting Surface-Aided Multiuser VR Streaming


Rate-Tunable Control Barrier Functions: Methods and Algorithms for Online Adaptation


Rate-optimal Bayesian Simple Regret in Best Arm Identification


Rater Cohesion and Quality from a Vicarious Perspective


Rates of Convergence for Large-scale Nearest Neighbor Classification


Rating Prediction in Conversational Task Assistants with Behavioral and Conversational-Flow Features


Rating Triggers for Collateral-Inclusive XVA via Machine Learning and SDEs on Lie Groups


Rating of players by Laplace approximation and dynamic modeling


Ratings of European and South American Football Leagues Based on Glicko-2 with Modifications


Ratio convergence rates for Euclidean first-passage percolation: Applications to the graph infinity Laplacian


Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator


Rational Noncrossing Coxeter-Catalan Combinatorics


Rational Points on the Unit Sphere: Approximation Complexity and Practical Constructions


Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matching


Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval


Rational Tracer: a Tool for Faster Rational Function Reconstruction


Rational approximation and its application to improving deep learning classifiers


Rational approximations of operator monotone and operator convex functions


Rational eigenfunctions of the Hecke operators


Rational function approximation with normalized positive denominators


Rational minimax approximation via adaptive barycentric representations


Rational points on even dimensional Fermat cubics


Rational points on hyperelliptic Atkin-Lehner quotients of modular curves and their coverings


Rational points on the non-split Cartan modular curve of level 27 and quadratic Chabauty over number fields


Rational spectral filters with optimal convergence rate


Rational torsion points on abelian surfaces with quaternionic multiplication


Rationale-Aware Answer Verification by Pairwise Self-Evaluation


Rationale-Enhanced Language Models are Better Continual Relation Learners


Rationale-Guided Few-Shot Classification to Detect Abusive Language


Rationale-Guided Retrieval Augmented Generation for Medical Question Answering


Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability


Rationality of real conic bundles with quartic discriminant curve


Rationalizing Medical Relation Prediction from Corpus-level Statistics


Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport


Rationally Inattentive Utility Maximization for Interpretable Deep Image Classification


Raven's Progressive Matrices Completion with Latent Gaussian Process Priors


Raw Differentiable Architecture Search for Speech Deepfake and Spoofing Detection


Raw High-Definition Radar for Multi-Task Learning


Raw-to-End Name Entity Recognition in Social Media


RawAlign: Accurate, Fast, and Scalable Raw Nanopore Signal Mapping via Combining Seeding and Alignment


RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection


RawBoost: A Raw Data Boosting and Augmentation Method applied to Automatic Speaker Verification Anti-Spoofing


RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image


RawNeXt: Speaker verification system for variable-duration utterances with deep layer aggregation and extended dynamic scaling policies


Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs


Ray Tracing Structured AMR Data Using ExaBricks


Ray Tracing-Guided Design of Plenoptic Cameras


Ray and caustic structure of Ince-Gauss beams


Ray tracing simulations of bending magnet sources with SHADOW4


Ray-Patch: An Efficient Querying for Light Field Transformers


Ray-tracing log-normal simulation for weak gravitational lensing: application to the cross-correlation with galaxies


Ray-transfer functions for camera simulation of 3D scenes with hidden lens design


Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization


RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency


RayEmb: Arbitrary Landmark Detection in X-Ray Images Using Ray Embedding Subspace


RayFlex: An Open-Source RTL Implementation of the Hardware Ray Tracer Datapath


RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols


RaySplats: Ray Tracing based Gaussian Splatting


RayTracer.jl: A Differentiable Renderer that supports Parameter Optimization for Scene Reconstruction


Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces


Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection


Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors


Raziel: Private and Verifiable Smart Contracts on Blockchains


RbA: Segmenting Unknown Regions Rejected by All


RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects


Re$^3$Dial: Retrieve, Reorganize and Rescale Dialogue Corpus for Long-Turn Open-Domain Dialogue Pre-training


Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization


Re-Assessing the "Classify and Count" Quantification Method


Re-Attention Transformer for Weakly Supervised Object Localization


Re-Attentional Controllable Video Diffusion Editing


Re-Benchmarking Pool-Based Active Learning for Binary Classification


Re-ENACT: Reinforcement Learning for Emotional Speech Generation using Actor-Critic Strategy


Re-Evaluating GermEval17 Using German Pre-Trained Language Models


Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model


Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses


Re-Examine Distantly Supervised NER: A New Benchmark and a Simple Approach


Re-Examining Calibration: The Case of Question Answering


Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization


Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild


Re-Imagining Multimodal Instruction Tuning: A Representation View


Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning


Re-Ranking Words to Improve Interpretability of Automatically Generated Topics


Re-ReND: Real-time Rendering of NeRFs across Devices


Re-ReST: Reflection-Reinforced Self-Training for Language Agents


Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection


Re-TACRED: Addressing Shortcomings of the TACRED Dataset


Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion


Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals


Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning


Re-annotation of cough events in the AMI corpus


Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation


Re-basin via implicit Sinkhorn differentiation


Re-boosting Self-Collaboration Parallel Prompt GAN for Unsupervised Image Restoration


Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression


Re-contextualizing Fairness in NLP: The Case of India


Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation


Re-entry Prediction for Online Conversations via Self-Supervised Learning


Re-evaluating Evaluation in Text Summarization


Re-evaluation of ortho-para-dependence of self-pressure broadening in the $v_1+v_3$ band of acetylene


Re-examination of the Role of Latent Variables in Sequence Modeling


Re-examining the quantum volume test: Ideal distributions, compiler optimizations, confidence intervals, and scalable resource estimations