Re-examining the significance of the 750 GeV diphoton excess at ATLAS


Re-framing Incremental Deep Language Models for Dialogue Processing with Multi-task Learning


Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric


Re-identification of Individuals in Genomic Datasets Using Public Face Images


Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels


Re-parameterizing Your Optimizers rather than Architectures


Re-purposing Heterogeneous Generative Ensembles with Evolutionary Computation


Re-thinking Federated Active Learning based on Inter-class Diversity


Re-thinking Model Inversion Attacks Against Deep Neural Networks


Re-thinking Temporal Search for Long-Form Video Understanding


Re-ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape


Re-understanding Finite-State Representations of Recurrent Policy Networks


Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation


Re4MPC: Reactive Nonlinear MPC for Multi-model Motion Planning via Deep Reinforcement Learning


ReACKed QUICer: Measuring the Performance of Instant Acknowledgments in QUIC Handshakes


ReALFRED: An Embodied Instruction Following Benchmark in Photo-Realistic Environments


ReAcTable: Enhancing ReAct for Table Question Answering


ReAct: A Review Comment Dataset for Actionability (and more)


ReAct: Temporal Action Detection with Relational Queries


ReBNet: Residual Binarized Neural Network


ReBaCCA-ss: Relevance-Balanced Continuum Correlation Analysis with Smoothing and Surrogating for Quantifying Similarity Between Population Spiking Activities


ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active Learning


ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training


ReCAM@IITK at SemEval-2021 Task 4: BERT and ALBERT based Ensemble for Abstract Word Prediction


ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning


ReCDAP: Relation-Based Conditional Diffusion with Attention Pooling for Few-Shot Knowledge Graph Completion


ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness


ReCFA: Resilient Control-Flow Attestation


ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension


ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation


ReCODE: Modeling Repeat Consumption with Neural ODE


ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research


ReCU: Reviving the Dead Weights in Binary Neural Networks


ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization


ReCalKV: Low-Rank KV Cache Compression via Head Reordering and Offline Calibration


ReCap: Better Gaussian Relighting with Cross-Environment Captures


ReCasNet: Improving consistency within the two-stage mitosis detection framework


ReChisel: Effective Automatic Chisel Code Generation by LLM with Reflection


ReChorus2.0: A Modular and Task-Flexible Recommendation Library


ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning


ReCo: A Dataset for Residential Community Layout Planning


ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks


ReCo: Retrieve and Co-segment for Zero-shot Transfer


ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation


ReCode: Robustness Evaluation of Code Generation Models


ReCode: Updating Code API Knowledge with Reinforcement Learning


ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning


ReCon: Reconfiguring Analog Rydberg Atom Quantum Computers for Quantum Generative Adversarial Networks


ReCon: Reducing Congestion in Job Recommendation using Optimal Transport


ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs


ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction


ReCorD: Reasoning and Correcting Diffusion for HOI Generation


ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers


ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation


ReDAN: An Empirical Study on Remote DoS Attacks against NAT Networks


ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks


ReDUCE: Reformulation of Mixed Integer Programs using Data from Unsupervised Clusters for Learning Efficient Strategies


ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems


ReDet: A Rotation-equivariant Detector for Aerial Object Detection


ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval


ReF Decompile: Relabeling and Function Call Enhanced Decompile


ReFACT: Updating Text-to-Image Models by Editing the Text Encoder


ReFF: Reinforcing Format Faithfulness in Language Models across Varied Tasks


ReFIR: Grounding Large Restoration Models with Retrieval Augmentation


ReFill: Reinforcement Learning for Fill-In Minimization


ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning


ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers


ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals


ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion


ReGA: Representation-Guided Abstraction for Model-based Safeguarding of LLMs


ReGAL: Refactoring Programs to Discover Generalizable Abstractions


ReGO: Reference-Guided Outpainting for Scenery Image


ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection


ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models


ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval


ReGenNet: Towards Human Action-Reaction Synthesis


ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable


ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant


ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives


ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model


ReIFE: Re-evaluating Instruction-Following Evaluation


ReINTEL Challenge 2020: A Multimodal Ensemble Model for Detecting Unreliable Information on Vietnamese SNS


ReJSHand: Efficient Real-Time Hand Pose Estimation and Mesh Reconstruction Using Refined Joint and Skeleton Features


ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL


ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models


ReLER@ZJU Submission to the Ego4D Moment Queries Challenge 2022


ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI


ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement


ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation


ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction


ReLSO: A Transformer-based Model for Latent Space Optimization and Generation of Proteins


ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages


ReLU's Revival: On the Entropic Overload in Normalization-Free Large Language Models


ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLU


ReLU-QP: A GPU-Accelerated Quadratic Programming Solver for Model-Predictive Control


ReLUs Are Sufficient for Learning Implicit Neural Representations


ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment


ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget


ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning


ReME: A Data-Centric Framework for Training-Free Open-Vocabulary Segmentation


ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot Navigation


ReMamba: Equip Mamba with Effective Long-Sequence Modeling


ReMamber: Referring Image Segmentation with Mamba Twister


ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification


ReMasker: Imputing Tabular Data with Masked Autoencoding


ReMatch: Retrieval Enhanced Schema Matching with LLMs


ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models


ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues


ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification


ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model


ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing


ReMoS: 3D Motion-Conditioned Reaction Synthesis for Two-Person Interactions


ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization


ReOnto: A Neuro-Symbolic Approach for Biomedical Relation Extraction


RePBubLik: Reducing the Polarized Bubble Radius with Link Insertions


RePO: ReLU-based Preference Optimization


RePO: Replay-Enhanced Policy Optimization


RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering


RePaint: Inpainting using Denoising Diffusion Probabilistic Models


RePair: Automated Program Repair with Process-based Feedback


RePoseD: Efficient Relative Pose Estimation With Known Depth Information


ReQA: An Evaluation for End-to-End Answer Retrieval Models


ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation


ReQuSim: Faithfully simulating near-term quantum repeaters


ReReLRP - Remembering and Recognizing Tasks with LRP


ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning


ReSSL: Relational Self-Supervised Learning with Weak Augmentation


ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search


ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translation


ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue


ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select


ReShader: View-Dependent Highlights for Single Image View-Synthesis


ReSi: A Comprehensive Benchmark for Representational Similarity Measures


ReSkin: versatile, replaceable, lasting tactile skins


ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks


ReSonAte: A Runtime Risk Assessment Framework for Autonomous Systems


ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams


ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition


ReSplit: Improving the Structure of Jupyter Notebooks by Re-Splitting Their Cells


ReStore -- Neural Data Completion for Relational Databases


ReStore: In-Memory REplicated STORagE for Rapid Recovery in Fault-Tolerant Algorithms


ReSup: Reliable Label Noise Suppression for Facial Expression Recognition


ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking


ReSync: Riemannian Subgradient-based Robust Rotation Synchronization


ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding


ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning


ReVersion: Diffusion-Based Relation Inversion from Images


ReViT: Enhancing Vision Transformers Feature Diversity with Attention Residual Connections


ReViVD: Exploration and Filtering of Trajectories in an Immersive Environment using 3D Shapes


ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development


ReWiS: Reliable Wi-Fi Sensing Through Few-Shot Multi-Antenna Multi-Receiver CSI Learning


ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos


ReZG: Retrieval-Augmented Zero-Shot Counter Narrative Generation for Hate Speech


ReZone: Disarming TrustZone with TEE Privilege Reduction


Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization


ReaMOT: A Benchmark and Framework for Reasoning-based Multi-Object Tracking


ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation


ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs


ReachLipBnB: A branch-and-bound method for reachability analysis of neural autonomous systems using Lipschitz bounds


ReachNN: Reachability Analysis of Neural-Network Controlled Systems


Reachability Analysis for Black-Box Dynamical Systems


Reachability Analysis for Feed-Forward Neural Networks using Face Lattices


Reachability Analysis of Neural Network Control Systems


Reachability Constrained Reinforcement Learning


Reachability analysis of neural networks using mixed monotonicity


Reachability of weakly nonlinear systems using Carleman linearization


Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control


Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study


Reaching an equilibrium of prices and holdings of goods through direct buying and selling


Reaching the equilibrium: Long-term stable approximations for stochastic non-Newtonian Stokes equations with transport noise


React-tRace: A Semantics for Understanding React Hooks


ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots


ReactDiff: Latent Diffusion for Facial Reaction Generation


ReactEmbed: A Cross-Domain Framework for Protein-Molecule Representation Learning via Biochemical Reaction Networks


ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining


ReactZyme: A Benchmark for Enzyme-Reaction Prediction


Reaction Coordinates for Conformational Transitions using Linear Discriminant Analysis on Positions


Reaction pathways of BCl$_3$ for acceptor delta-doping of silicon


Reaction-conditioned De Novo Enzyme Design with GENzyme


Reaction-drift-diffusion models from master equations: application to material defects


ReactionT5: a large-scale pre-trained model towards application of limited reaction data


Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation


Reactive Message Passing for Scalable Bayesian Inference


Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget


Reactive Soft Prototype Computing for Concept Drift Streams


Reactive Supervision: A New Method for Collecting Sarcasm Data


Reactive Synthesis of Sensor Revealing Strategies in Hypergames on Graphs


Reactive Task Allocation and Planning for Quadrupedal and Wheeled Robot Teaming


Reactor Optimization Benchmark by Reinforcement Learning


Reactor scale simulations of ALD and ALE: ideal and non-ideal self-limited processes in a cylindrical and a 300 mm wafer cross-flow reactor


Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models


Read Disturbance in High Bandwidth Memory: A Detailed Experimental Study on HBM2 DRAM Chips


Read It, Don't Watch It: Captioning Bug Recordings Automatically


Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition


Read My Ears! Horse Ear Movement Detection for Equine Affective State Assessment


Read Over the Lines: Attacking LLMs and Toxicity Detection Systems with ASCII Art to Mask Profanity


Read Top News First: A Document Reordering Approach for Multi-Document News Summarization


Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence


Read the Room: Adapting a Robot's Voice to Ambient and Social Contexts


Read the Signs: Towards Invariance to Gradient Descent's Hyperparameter Initialization


Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction


Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews


Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking


Read, Watch and Scream! Sound Generation from Text and Video


Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design


Read-Write Quorum Systems Made Practical


Read-only Prompt Optimization for Vision-Language Few-shot Learning


ReadBench: Measuring the Dense Text Visual Reading Ability of Vision-Language Models


ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment


ReadProbe: A Demo of Retrieval-Enhanced Large Language Models to Support Lateral Reading


Readability of digraphs and bipartite graphs


Reading Between the Frames: Multi-Modal Depression Detection in Videos from Non-Verbal Cues


Reading Between the Lanes: Text VideoQA on the Road


Reading Between the Lines: A dataset and a study on why some texts are tougher than others


Reading Between the Prompts: How Stereotypes Shape LLM's Implicit Personalization


Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities


Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms


Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation


Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers


Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model


Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition


Reading between the Lines: Can LLMs Identify Cross-Cultural Communication Gaps?


Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval


Readout Rebalancing for Near Term Quantum Computers


Readout error mitigated quantum state tomography tested on superconducting qubits


Ready, set, Go! Data-race detection and the Go language


Real Elliptically Skewed Distributions and Their Application to Robust Cluster Analysis


Real HSI-MSI-PAN image dataset for the hyperspectral/multi-spectral/panchromatic image fusion and super-resolution fields


Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling


Real Robot Challenge 2021: Cartesian Position Control with Triangle Grasp and Trajectory Interpolation


Real Spike: Learning Real-valued Spikes for Spiking Neural Networks


Real Time Bangladeshi Sign Language Detection using Faster R-CNN


Real Time Captioning of Sign Language Gestures in Video Meetings


Real Time Face Recognition Using Convoluted Neural Networks


Real Time Integration Centre of Mass (riCOM) Reconstruction for 4D-STEM


Real Time Monitoring and Forecasting of COVID 19 Cases using an Adjusted Holt based Hybrid Model embedded with Wavelet based ANN


Real Time Object Detection System with YOLO and CNN Models: A Review


Real Time Pattern Matching with Dynamic Normalization


Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans


Real Time Trajectory Prediction Using Deep Conditional Generative Models


Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network


Real World Conversational Entity Linking Requires More Than Zeroshots


Real equiangular lines in dimension 18 and the Jacobi identity for complementary subgraphs


Real modes and null memory contributions in effective-one-body models


Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text


Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue


Real space iterative reconstruction for vector tomography (RESIRE-V)


Real space texture and pole figure analysis using the three-dimensional pair distribution function (PDF) on a Platinum thin film


Real time 3D coherent X-ray diffraction imaging


Real time spectrogram inversion on mobile phone


Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset


Real-Time AIoT for UAV Antenna Interference Detection via Edge-Cloud Collaboration


Real-Time Accident Detection in Traffic Surveillance Using Deep Learning


Real-Time Active Learning for optimised spectroscopic follow-up: Enhancing early SN Ia classification with the Fink broker


Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning


Real-Time Bidding by Reinforcement Learning in Display Advertising


Real-Time Bit-Level Encryption of Full High-Definition Video Without Diffusion


Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room


Real-Time Capable Decision Making for Autonomous Driving Using Reachable Sets


Real-Time Cell Sorting with Scalable In Situ FPGA-Accelerated Deep Learning


Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat


Real-Time Correlation Tracking via Joint Model Compression and Transfer


Real-Time Damage Detection in Fiber Lifting Ropes Using Lightweight Convolutional Neural Networks


Real-Time Decentralized knowledge Transfer at the Edge


Real-Time Deformable-Contact-Aware Model Predictive Control for Force-Modulated Manipulation


Real-Time Dense Stereo Matching With ELAS on FPGA Accelerated Embedded Devices


Real-Time Detection of Dictionary DGA Network Traffic using Deep Learning


Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors


Real-Time ESFP: Estimating, Smoothing, Filtering, and Pose-Mapping


Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints


Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network


Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis


Real-Time Evaluation in Online Continual Learning: A New Hope


Real-Time Event-Based Tracking and Detection for Maritime Environments


Real-Time Execution of Action Chunking Flow Policies


Real-Time Facial Expression Emoji Masking with Convolutional Neural Networks and Homography


Real-Time Fitness Exercise Classification and Counting from Video Frames


Real-Time Flying Object Detection with YOLOv8


Real-Time Frequency Selective Reconstruction through Register-Based Argmax Calculation


Real-Time Global Illumination Using OpenGL And Voxel Cone Tracing


Real-Time Graph-based Point Cloud Networks on FPGAs via Stall-Free Deep Pipelining


Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN


Real-Time Heuristic Framework for Safe Landing of UAVs in Dynamic Scenarios


Real-Time Human Fall Detection using a Lightweight Pose Estimation Technique


Real-Time Image Analysis Software Suitable for Resource-Constrained Computing


Real-Time Image Demoireing on Mobile Devices


Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture Search


Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning


Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation


Real-Time Inverse Kinematics for Generating Multi-Constrained Movements of Virtual Human Characters


Real-Time LiDAR Point Cloud Compression and Transmission for Resource-constrained Robots


Real-Time Line-Based Room Segmentation and Continuous Euclidean Distance Fields


Real-Time Lip Sync for Live 2D Animation


Real-Time Localization and Bimodal Point Pattern Analysis of Palms Using UAV Imagery


Real-Time Localization and Tracking of Multiple Radio-Tagged Animals with an Autonomous UAV


Real-Time Locomotion on Soft Grounds With Dynamic Footprints


Real-Time MRI Video synthesis from time aligned phonemes with sequence-to-sequence networks


Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory Network


Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments


Real-Time Monocular Human Depth Estimation and Segmentation on Embedded Systems


Real-Time Motion Detection Using Dynamic Mode Decomposition


Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications


Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather Conditions


Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge Sensors


Real-Time Multiple Object Tracking - A Study on the Importance of Speed


Real-Time Neural Character Rendering with Pose-Guided Multiplane Images


Real-Time Neural Light Field on Mobile Devices


Real-Time Neuromorphic Navigation: Integrating Event-Based Vision and Physics-Driven Planning on a Parrot Bebop2 Quadrotor


Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings


Real-Time Object Pose Estimation with Pose Interpreter Networks


Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index


Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Cameras


Real-Time Panoramic Tracking for Event Cameras


Real-Time Person Image Synthesis Using a Flow Matching Model


Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning


Real-Time Polygonal Semantic Mapping for Humanoid Robot Stair Climbing


Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning


Real-Time Quadrotor Trajectory Optimization with Time-Triggered Corridor Constraints


Real-Time RFI Mitigation for the Apertif Radio Transient System


Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation Cascade


Real-Time Recurrent Learning using Trace Units in Reinforcement Learning


Real-Time Reduced-Order Modeling of Stochastic Partial Differential Equations via Time-Dependent Subspaces


Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers


Real-Time Remote Control via VR over Limited Wireless Connectivity


Real-Time Rendering of Glints in the Presence of Area Lights


Real-Time Risk-Bounded Tube-Based Trajectory Safety Verification


Real-Time Risky Fault-Chain Search using Time-Varying Graph RNNs


Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion


Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks


Real-Time Safe Control of Neural Network Dynamic Models with Sound Approximation


Real-Time Scheduling for 802.1Qbv Time-Sensitive Networking (TSN): A Systematic Review and Experimental Study


Real-Time Scheduling of Machine Learning Operations on Heterogeneous Neuromorphic SoC


Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting


Real-Time Semantic Segmentation using Hyperspectral Images for Mapping Unstructured and Unknown Environments


Real-Time Siamese Multiple Object Tracker with Enhanced Proposals


Real-Time Simultaneous Localization and Mapping with LiDAR intensity


Real-Time Sound Event Localization and Detection: Deployment Challenges on Edge Devices


Real-Time Spacecraft Pose Estimation Using Mixed-Precision Quantized Neural Network on COTS Reconfigurable MPSoC


Real-Time Spatial Trajectory Planning for Urban Environments Using Dynamic Optimization


Real-Time Spatio-Temporal LiDAR Point Cloud Compression


Real-Time Stochastic Kinodynamic Motion Planning via Multiobjective Search on GPUs


Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases


Real-Time Subpixel Fast Bilateral Stereo


Real-Time Super-Resolution System of 4K-Video Based on Deep Learning


Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning


Real-Time Text Detection with Similar Mask in Traffic, Industrial, and Natural Scenes


Real-Time Tilt Undersampling Optimization during Electron Tomography of Beam Sensitive Samples using Golden Ratio Scanning and RECAST3D


Real-Time Topology Optimization in 3D via Deep Transfer Learning


Real-Time Trajectory Planning for AGV in the Presence of Moving Obstacles: A First-Search-Then-Optimization Approach


Real-Time Trajectory Planning for Aerial Perching


Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement


Real-Time Trajectory Synthesis with Local Differential Privacy


Real-Time Unified Trajectory Planning and Optimal Control for Urban Autonomous Driving Under Static and Dynamic Obstacle Constraints


Real-Time User-Guided Image Colorization with Learned Deep Priors


Real-Time Variational Fisheye Stereo without Rectification and Undistortion


Real-Time Vibration-Based Bearing Fault Diagnosis Under Time-Varying Speed Conditions


Real-Time Video Deblurring via Lightweight Motion Compensation


Real-Time Video Inference on Edge Devices via Adaptive Model Streaming


Real-Time Violence Detection Using CNN-LSTM


Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow


Real-Time Weather Image Classification with SVM


Real-Time and Accurate Object Detection in Compressed Video by Long Short-term Feature Aggregation


Real-Time, Single-Ear, Wearable ECG Reconstruction, R-Peak Detection, and HR/HRV Monitoring


Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models


Real-World Deployment and Assessment of a Multi-Agent Reinforcement Learning-Based Variable Speed Limit Control System


Real-World Dexterous Object Manipulation based Deep Reinforcement Learning


Real-World En Call Center Transcripts Dataset with PII Redaction


Real-World Image Super-Resolution by Exclusionary Dual-Learning


Real-World Remote Sensing Image Dehazing: Benchmark and Baseline


Real-bogus classification for the Zwicky Transient Facility using deep learning


Real-time 3D Object Detection using Feature Map Flow


Real-time 3D Semantic Scene Perception for Egocentric Robots with Binocular Vision


Real-time 3D analysis during electron tomography using tomviz


Real-time 3D human action recognition based on Hyperpoint sequence


Real-time 3D-aware Portrait Editing from a Single Image


Real-time 3D-aware Portrait Video Relighting


Real-time 6K Image Rescaling with Rate-distortion Optimization


Real-time Action Recognition for Fine-Grained Actions and The Hand Wash Dataset


Real-time Air Pollution prediction model based on Spatiotemporal Big data


Real-time Animation Generation and Control on Rigged Models via Large Language Models


Real-time Artificial Intelligence for Accelerator Control: A Study at the Fermilab Booster


Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels


Real-time Bangla Sign Language Translator


Real-time Collaborative Multi-Level Modeling by Conflict-Free Replicated Data Types


Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning


Real-time Deep Learning at the Edge for Scalable Reliability Modeling of Si-MOSFET Power Electronics Converters


Real-time EEG-based Emotion Recognition Model using Principal Component Analysis and Tree-based Models for Neurohumanities


Real-time Event Recognition of Long-distance Distributed Vibration Sensing with Knowledge Distillation and Hardware Acceleration


Real-time Facial Expression Recognition "In The Wild'' by Disentangling 3D Expression from Identity


Real-time Fake News from Adversarial Feedback


Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images


Real-time High-Quality Rendering of Non-Rotating Black Holes


Real-time High-fidelity Gaussian Human Avatars with Position-based Interpolation of Spatially Distributed MLPs


Real-time Human-Centric Segmentation for Complex Video Scenes


Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders


Real-time Identity Defenses against Malicious Personalization of Diffusion Models


Real-time Image Smoothing via Iterative Least Squares


Real-time Instance Segmentation with Discriminative Orientation Maps


Real-time Linear Operator Construction and State Estimation with the Kalman Filter


Real-time Model-based Image Color Correction for Underwater Robots


Real-time Multi-Adaptive-Resolution-Surfel 6D LiDAR Odometry using Continuous-time Trajectory Optimization


Real-time Multi-person Eyeblink Detection in the Wild for Untrimmed Video


Real-time Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms


Real-time Noise Source Estimation of a Camera System from an Image and Metadata


Real-time Object Detection for Streaming Perception


Real-time On-Demand Crowd-powered Entity Extraction


Real-time One-Step Diffusion-based Expressive Portrait Videos Generation


Real-time Online Multi-Object Tracking in Compressed Domain


Real-time Online Video Detection with Temporal Smoothing Transformers


Real-time Person Re-identification at the Edge: A Mixed Precision Approach


Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting


Real-time Pose Estimation from Images for Multiple Humanoid Robots


Real-time RGBD-based Extended Body Pose Estimation


Real-time Segmentation and Facial Skin Tones Grading


Real-time Semantic Segmentation with Fast Attention


Real-time Sign Language Fingerspelling Recognition using Convolutional Neural Networks from Depth map


Real-time Sign-Problem-Suppressed Quantum Monte Carlo Algorithm For Noisy Quantum Circuit Simulations


Real-time Simultaneous 3D Head Modeling and Facial Motion Capture with an RGB-D camera


Real-time Skeletonization for Sketch-based Modeling


Real-time Soft Body 3D Proprioception via Deep Vision-based Sensing


Real-time Spatial-temporal Traversability Assessment via Feature-based Sparse Gaussian Process


Real-time Stereo-based 3D Object Detection for Streaming Perception


Real-time Streaming Video Denoising with Bidirectional Buffers


Real-time System Modeling and Verification through Labeled Transition System Analyser (LTSA)


Real-time Trajectory Generation for Quadrotors using B-spline based Non-uniform Kinodynamic Search


Real-time Trajectory-based Social Group Detection


Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System through Distributed Database and Multimodal Perception: Demonstrated in Crossroads


Real-time Vision-based Depth Reconstruction with NVidia Jetson


Real-time Vision-based Navigation for a Robot in an Indoor Environment


Real-time Wireless ECG-derived Respiration Rate Estimation Using an Autoencoder with a DCT Layer


Real-time calibration of coherent-state receivers: learning by trial and error


Real-time cardiac cine MRI -- A comparison of a diffusion probabilistic model with alternative state-of-the-art image reconstruction techniques for undersampled spiral acquisitions


Real-time chaotic video encryption based on multithreaded parallel confusion and diffusion


Real-time classification of EEG signals using Machine Learning deployment


Real-time computation of bio-heat transfer in the fast explicit dynamics finite element algorithm (FED-FEM) framework


Real-time cortical simulations: energy and interconnect scaling on distributed systems


Real-time edge dynamics of non-Hermitian lattices


Real-time emotion recognition for gaming using deep convolutional network features


Real-time estimation of overt attention from dynamic features of the face using deep-learning


Real-time forecasting of metro origin-destination matrices with high-order weighted dynamic mode decomposition


Real-time frequency estimation of a qubit without single-shot-readout


Real-time instance segmentation with polygons using an Intersection-over-Union loss


Real-time interactive 4D-STEM phase-contrast imaging from electron event representation data


Real-time low-resource phoneme recognition on edge devices


Real-time marker-less multi-person 3D pose estimation in RGB-Depth camera networks


Real-time methods for spectral functions


Real-time motion planning and decision-making for a group of differential drive robots under connectivity constraints using robust MPC and mixed-integer programming


Real-time multiframe blind deconvolution of solar images


Real-time noise cancellation with Deep Learning


Real-time prediction of severe influenza epidemics using Extreme Value Statistics


Real-time quantum error correction beyond break-even


Real-time raw signal genomic analysis using fully integrated memristor hardware


Real-time single-pixel video imaging with Fourier domain regularization


Real-time small area estimation of food security in Zimbabwe: integrating mobile-phone and face-to-face surveys using joint multilevel regression and poststratification


Real-time speech enhancement using equilibriated RNN


Real-time stokes polarimetry based on a polarisation camera


Real-time super-resolution mapping of locally anisotropic grain orientations for ultrasonic non-destructive evaluation of crystalline material


Real-valued Evolutionary Multi-modal Multi-objective Optimization by Hill-Valley Clustering


Real-valued continued fraction of straight lines


Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network


Real-world Underwater Enhancement: Challenges, Benchmarks, and Solutions


Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network


Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems


Real3D-Aug: Point Cloud Augmentation by Placing Real Objects with Occlusion Handling for 3D Detection and Segmentation


Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis


RealAnt: An Open-Source Low-Cost Quadruped for Education and Research in Real-World Reinforcement Learning


RealCQA: Scientific Chart Question Answering as a Test-bed for First-Order Logic


RealCam-Vid: High-resolution Video Dataset with Dynamic Scenes and Metric-scale Camera Movements


RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models


RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques


RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization


RealEngine: Simulating Autonomous Driving in Realistic Context


RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking


RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos


RealHarm: A Collection of Real-World Language Model Application Failures


RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wild


RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis


RealMAN: A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization


RealMath: A Continuous Benchmark for Evaluating Language Models on Research-Level Mathematics


RealMedQA: A pilot biomedical question answering dataset containing realistic clinical questions


RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection


RealPatch: A Statistical Matching Framework for Model Patching with Real Samples


RealPoint3D: Point Cloud Generation from a Single Image with Complex Background


RealProbe: An Automated and Lightweight Performance Profiler for In-FPGA Execution of High-Level Synthesis Designs


RealSyn: An Effective and Scalable Multimodal Interleaved Document Transformation Paradigm


RealTime QA: What's the Answer Right Now?


RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models


RealViformer: Investigating Attention for Real-World Video Super-Resolution


RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users


RealisHuman: A Two-Stage Approach for Refining Malformed Human Parts in Generated Images


Realising Synthetic Active Inference Agents, Part II: Variational Message Updates


Realising the LOFAR Two-Metre Sky Survey -- using the supercomputer JUWELS at the Forschungszentrum Jülich


Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation


Realistic Blur Synthesis for Learning Image Deblurring


Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement


Realistic Data Generation for 6D Pose Estimation of Surgical Instruments


Realistic Defocus Blur for Multiplane Computer-Generated Holography


Realistic Evaluation of Model Merging for Compositional Generalization


Realistic Evaluation of Transductive Few-Shot Learning


Realistic Full-Body Anonymization with Surface-Guided GANs


Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling


Realistic Gramophone Noise Synthesis using a Diffusion Model


Realistic Image Normalization for Multi-Domain Segmentation


Realistic Noise Synthesis with Diffusion Models


Realistic PointGoal Navigation via Auxiliary Losses and Information Bottleneck


Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study


Realistic Saliency Guided Image Enhancement


Realistic Synthetic Financial Transactions for Anti-Money Laundering Models


Realistic Test-Time Adaptation of Vision-Language Models


Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization


Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator


Realistic Website Fingerprinting By Augmenting Network Trace


Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models


Realistic binary neutron star initial data with Elliptica


Realistic quantum network simulation for experimental BBM92 key distribution


Realistic risk-mitigating recommendations via inverse classification


Realistic synthetic integral field spectroscopy with RealSim-IFS


Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models


Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models


Reality Fusion: Robust Real-time Immersive Mobile Robot Teleoperation with Volumetric Visual Data Fusion


RealityCanvas: Augmented Reality Sketching for Embedded and Responsive Scribble Animation Effects


RealityEffects: Augmenting 3D Volumetric Videos with Object-Centric Annotation and Dynamic Visual Effects


Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space


Realization of a quantum neural network using repeat-until-success circuits in a superconducting quantum processor


Realization of arbitrary discrete unitary transformations using spatial and internal modes of light


Realizing Open and Decentralized Marketplace for Exchanging Data of Expected IoT Behaviors


Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline


Realizing interdependent couplings as thermal or higher-order interactions


Realizing the potential of deep neural network for analyzing neutron star observables and dense matter equation of state


Reallocating and Sharing Health Equipments in Sanitary Emergency Situations: The COVID-19 Case in Spain


Really Natural Linear Indexed Type Checking


Realm: Real-Time Line-of-Sight Maintenance in Multi-Robot Navigation with Unknown Obstacles


Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis


Realtime Safety Control for Bipedal Robots to Avoid Multiple Obstacles via CLF-CBF Constraints


Reanalysis of Rosenbluth measurements of the proton form factors


Reanalysis-based Global Radiative Response to Sea Surface Temperature Patterns: Evaluating the Ai2 Climate Emulator


Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Pretrained Language Model


Rearrangement Events on Circular Genomes


ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples


Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency


Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval


Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving


Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model


ReasonBERT: Pre-trained to Reason with Distant Supervision


ReasonDrive: Efficient Visual Question Answering for Autonomous Vehicles with Reasoning-Enhanced Small Vision-Language Models


ReasonGraph: Visualisation of Reasoning Paths


ReasonIR: Training Retrievers for Reasoning Tasks


ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning


ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving


Reasonable Anomaly Detection in Long Sequences


Reasonable mechanical model on shallow tunnel excavation to eliminate displacement singularity caused by unbalanced resultant


Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus


Reasoning About Group Polarization: From Semantic Games to Sequent Systems


Reasoning About Pragmatics with Neural Listeners and Speakers


Reasoning Beyond Language: A Comprehensive Survey on Latent Chain-of-Thought Reasoning


Reasoning Capabilities and Invariability of Large Language Models


Reasoning Factual Knowledge in Structured Data with Large Language Models


Reasoning Graph Enhanced Exemplars Retrieval for In-Context Learning


Reasoning Large Language Model Errors Arise from Hallucinating Critical Problem Features


Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment


Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs


Reasoning Models Better Express Their Confidence


Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning


Reasoning Structural Relation for Occlusion-Robust Facial Landmark Localization


Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation


Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings


Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning


Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer


Reasoning about Ambiguous Definite Descriptions


Reasoning about Goals, Steps, and Temporal Ordering with WikiHow


Reasoning about Interior Mutability in Rust using Library-Defined Capabilities


Reasoning about the Unseen for Efficient Outdoor Object Navigation


Reasoning about the garden of forking paths


Reasoning and Generalization in RL: A Tool Use Perspective


Reasoning and Learning a Perceptual Metric for Self-Training of Reflective Objects in Bin-Picking with a Low-cost Camera


Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension


Reasoning in Highly Reactive Environments


Reasoning of Large Language Models over Knowledge Graphs with Super-Relations


Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination


Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks


Reasoning over Public and Private Data in Retrieval-Based Systems


Reasoning over RDF Knowledge Bases using Deep Learning


Reasoning over Uncertain Text by Generative Large Language Models


Reasoning over the Air: A Reasoning-based Implicit Semantic-Aware Communication Framework


Reasoning to Attend: Try to Understand How <SEG> Token Works


Reasoning with LLMs for Zero-Shot Vulnerability Detection


Reasoning with Language Model Prompting: A Survey


Reasoning with Latent Diffusion in Offline Reinforcement Learning


Reasoning with Reinforced Functional Token Tuning


Reasoning with trees: interpreting CNNs using hierarchies


Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models


Reasoning-CV: Fine-tuning Powerful Reasoning LLMs for Knowledge-Assisted Claim Verification


Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval


Reasoning-Grounded Natural Language Explanations for Language Models


Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?


Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning


Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking


ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning


ReasoningV: Efficient Verilog Code Generation with Adaptive Hybrid Reasoning Model


Reasons and Solutions for the Decline in Model Performance after Editing


Reassembling Broken Objects using Breaking Curves


Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019


Reassessing Graph Linearization for Sequence-to-sequence AMR Parsing: On the Advantages and Limitations of Triple-Based Encoding


Reassessing How to Compare and Improve the Calibration of Machine Learning Models


Reassessing Layer Pruning in LLMs: New Insights and Methods


Reassessing the Cepheid-based distance ladder: implications for the Hubble constant


Reassessing the Exon-Foldon correspondence using Frustration Analysis


Reassessing the ZTF Volume-Limited Type Ia Supernova Sample and Its Implications for Continuous, Dust-Dependent Models of Intrinsic Scatter


Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training


Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning


Rebalancing Learning on Evolving Data Streams


Rebalancing Social Feed to Minimize Polarization and Disagreement


Rebinding kinetics from single-molecule force spectroscopy experiments close to equilibrium


Reblurring-Guided Single Image Defocus Deblurring: A Learning Framework with Misaligned Training Pairs


Rebooting Research on Detecting Repackaged Android Apps: Literature Review and Benchmark


Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing


Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning


RecAD: Towards A Unified Library for Recommender Attack and Defense


RecBole 2.0: Towards a More Up-to-Date Recommendation Library


RecCoT: Enhancing Recommendation via Chain-of-Thought


RecConv: Efficient Recursive Convolutions for Multi-Frequency Representations


RecCrysFormer: Refined Protein Structural Prediction from 3D Patterson Maps via Recycling Training Runs


RecDCL: Dual Contrastive Learning for Recommendation


RecDiffusion: Rectangling for Image Stitching with Diffusion Models


RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator


RecFlow: An Industrial Full Flow Recommendation Dataset


RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation


RecGPT: A Foundation Model for Sequential Recommendation


RecGPT: Generative Pre-training for Text-based Recommendation


RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation


RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces


RecJPQ: Training Large-Catalogue Sequential Recommenders


RecKG: Knowledge Graph for Recommender Systems


RecLM: Recommendation Instruction Tuning


RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models


RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation


RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum Learning


RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems


RecSim: A Configurable Simulation Platform for Recommender Systems


RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models


RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution


RecTable: Fast Modeling Tabular Data with Rectified Flow


RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback


RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface


Recalibrating the KITTI Dataset Camera Setup for Improved Odometry Accuracy


Recall and Learn: A Memory-augmented Solver for Math Word Problems


Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework


Recall-Oriented Continual Learning with Generative Adversarial Meta-Model


RecallM: An Adaptable Memory Mechanism with Temporal Understanding for Large Language Models


Recanting twins: addressing intermediate confounding in mediation analysis


Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations


Recasting Continual Learning as Sequence Modeling


Recasting Self-Attention with Holographic Reduced Representations


Receding Horizon Motion Planning for Multi-Agent Systems: A Velocity Obstacle Based Probabilistic Method


Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles


Receding Horizon Re-ordering of Multi-Agent Execution Schedules


Receding Horizon Task and Motion Planning in Changing Environments


Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions


Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set


Receive Combining vs. Multi-Stream Multiplexing in Downlink Systems with Multi-Antenna Users


Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers


Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling


Recent Advances and New Frontiers in Spiking Neural Networks


Recent Advances in Deep Learning for Object Detection


Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation


Recent Advances in Medical Imaging Segmentation: A Survey


Recent Advances in Network-based Methods for Disease Gene Prediction


Recent Advances in OOD Detection: Problems and Approaches


Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives


Recent Advances in Speech Language Models: A Survey


Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect


Recent Advances in Vehicle Routing with Stochastic Demands: Bayesian Learning for Correlated Demands and Elementary Branch-Price-and-Cut


Recent Advances of Multimodal Continual Learning: A Comprehensive Survey


Recent Advances on Generalizable Diffusion-generated Image Detection


Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey


Recent Event Camera Innovations: A Survey


Recent Improvements for the Lepton Propagator PROPOSAL


Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective


Recent advances in directional statistics


Recent improvements of ASR models in the face of adversarial attacks


Receptive Field Analysis of Temporal Convolutional Networks for Monaural Speech Dereverberation


Recipe for a General, Powerful, Scalable Graph Transformer


Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks


RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System


RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer


RecipeSnap -- a lightweight image-to-recipe model


Recipes for computing radiation from a Kerr black hole using a generalized Sasaki-Nakamura formalism: Homogeneous solutions


Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task


Reciprocal Adversarial Learning via Characteristic Functions


Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents


Reciprocal Supervised Learning Improves Neural Machine Translation


Reciprocal hydrodynamic response estimation in a random spreading sea


Reciprocity and sensitivity kernels for sea level fingerprints


Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators


Reciprocity obstructions in semigroup orbits in SL(2, Z)


Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon


RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising


Recoding latent sentence representations -- Dynamic gradient-based activation modification in RNNs


Recognition Oriented Iris Image Quality Assessment in the Feature Space


Recognition and reconstruction of cell differentiation patterns with deep learning


Recognition of Unseen Bird Species by Learning from Field Guides


Recognition of polar lows in Sentinel-1 SAR images with deep learning


Recognition, recall, and retention of few-shot memories in large language models


Recognition-Synergistic Scene Text Editing


Recognize then Resolve: A Hybrid Framework for Understanding Interaction and Cooperative Conflict Resolution in Mixed Traffic


Recognizing Arrow Of Time In The Short Stories


Recognizing Artistic Style of Archaeological Image Fragments Using Deep Style Extrapolation


Recognizing Characters in Art History Using Deep Learning


Recognizing Emotion Cause in Conversations


Recognizing Emotions evoked by Movies using Multitask Learning


Recognizing Every Voice: Towards Inclusive ASR for Rural Bhojpuri Women


Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model


Recognizing Handwritten Mathematical Expressions of Vertical Addition and Subtraction


Recognizing Manipulation Actions from State-Transformations


Recognizing Micro-Expression in Video Clip with Adaptive Key-Frame Mining


Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks


Recognizing Part Attributes with Insufficient Data


Recognizing and generating knotted molecular structures by machine learning


Recognizing bird species in diverse soundscapes under weak supervision


Recollection from Pensieve: Novel View Synthesis via Learning from Uncalibrated Videos


Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation


Recombinator-k-means: An evolutionary algorithm that exploits k-means++ for recombination


Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction


Recommendation Through Mixtures of Heterogeneous Item Relationships


Recommendation Unlearning via Influence Function


Recommendation from Raw Data with Adaptive Compound Poisson Factorization


Recommendation system using a deep learning and graph analysis approach


Recommendations and Reporting Checklist for Rigorous & Transparent Human Baselines in Model Evaluations


Recommendations for Bayesian hierarchical model specifications for case-control studies in mental health


Recommendations for Verifying HDR Subjective Testing Workflows


Recommendations to enhance rigor and reproducibility in biomedical research


Recommender Systems with Heterogeneous Side Information


Recommender systems and reinforcement learning for human-building interaction and context-aware support: A text mining-driven review of scientific literature


Recommender systems based on graph embedding techniques: A comprehensive review


Recommending API Function Calls and Code Snippets to Support Software Development


Recommending Comprehensive Solutions for Programming Tasks by Mining Crowd Knowledge


Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach


Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines


Recommending POIs for Tourists by User Behavior Modeling and Pseudo-Rating


Recommending Themes for Ad Creative Design via Visual-Linguistic Representations


Recommending research articles to consumers of online vaccination information


Recomposing the Reinforcement Learning Building Blocks with Hypernetworks


Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction


ReconBoost: Boosting Can Achieve Modality Reconcilement


ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer


ReconMOST: Multi-Layer Sea Temperature Reconstruction with Observations-Guided Diffusion


Reconciliation k-median: Clustering with Non-Polarized Representatives


Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition


Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space


Reconciling Conflicting Data Curation Actions: Transparency Through Argumentation


Reconciling Event Structures with Modern Multiprocessors


Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems


Reconciling Kaplan and Chinchilla Scaling Laws


Reconciling Kinetic and Equilibrium Models of Bacterial Transcription


Reconciling Predictive Multiplicity in Practice


Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry


Reconciling Rewards with Predictive State Representations


Reconciling Risk Allocation and Prevalence Estimation in Public Health Using Batched Bandits


Reconciling Security and Communication Efficiency in Federated Learning


Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual


Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain Adaptation


Reconciling econometrics with continuous maximum-entropy network models


Reconciling low and high redshift GRB luminosity correlations


Reconciling model-X and doubly robust approaches to conditional independence testing


Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-User Power Allocation


Reconfigurable Intelligent Surface Aided Wireless Sensing for Scene Depth Estimation


Reconfigurable Intelligent Surface Assisted VEC Based on Multi-Agent Reinforcement Learning


Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach


Reconfigurable Intelligent Surface Phase Hopping for Ultra-Reliable Communications


Reconfigurable Intelligent Surfaces-Enabled Intra-Cell Pilot Reuse in Massive MIMO Systems


Reconfigurable Intelligent Surfaces: A Signal Processing Perspective With Wireless Applications


Reconfigurable Intelligent Surfaces: Three Myths and Two Critical Questions


Reconfigurable Massive MIMO: Harnessing the Power of the Electromagnetic Domain for Enhanced Information Transfer


Reconfigurable Massive MIMO: Precoding Design and Channel Estimation in the Electromagnetic Domain


Reconfigurable Photonic Circuit for Controlled Power Delivery to Laser-Driven Accelerators on a Chip


Reconfigurable Quantum Internet Service Provider


Reconfigurable Robot Control Using Flexible Coupling Mechanisms


Reconfigurable mechanical vibrations laboratory kit


Reconfiguration of plane trees in convex geometric graphs


Reconfiguring the Imaging Pipeline for Computer Vision


Reconnaissance with JWST of the J-region Asymptotic Giant Branch in Distance Ladder Galaxies: From Irregular Luminosity Functions to Approximation of the Hubble Constant


Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction


Reconsidering Representation Alignment for Multi-view Clustering


Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models


Reconstruct before Query: Continual Missing Modality Learning with Decomposed Prompt Collaboration


Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution


Reconstructing $S$-matrix Phases with Machine Learning


Reconstructing Close Human Interactions from Multiple Views


Reconstructing Compact Building Models from Point Clouds Using Deep Implicit Fields


Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation


Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks


Reconstructing Deep Neural Networks: Unleashing the Optimization Potential of Natural Gradient Descent


Reconstructing Functions and Estimating Parameters with Artificial Neural Networks: A Test with the Hubble Parameter and SNe Ia


Reconstructing Groups of People with Hypergraph Relational Reasoning


Reconstructing Human Expressiveness in Piano Performances with a Transformer Network


Reconstructing Interacting Hands with Interaction Prior from Monocular Images


Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence


Reconstructing Latent Orderings by Spectral Clustering


Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction


Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction


Reconstructing Network Dynamics of Coupled Discrete Chaotic Units from Data


Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series


Reconstructing People, Places, and Cameras


Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN


Reconstructing Personalized Semantic Facial NeRF Models From Monocular Video


Reconstructing Physics-Informed Machine Learning for Traffic Flow Modeling: a Multi-Gradient Descent and Pareto Learning Approach


Reconstructing Point Sets from Distance Distributions


Reconstructing Primordial Curvature Perturbations via Scalar-Induced Gravitational Waves with LISA


Reconstructing Probability Distributions with Gaussian Processes


Reconstructing Real-Valued Quantum States


Reconstructing Sinus Anatomy from Endoscopic Video -- Towards a Radiation-free Approach for Quantitative Longitudinal Assessment


Reconstructing Sparse Multiplex Networks with Application to Covert Networks


Reconstructing Spatiotemporal Data with C-VAEs


Reconstructing Stieltjes functions from their approximate values: a search for a needle in a haystack


Reconstructing Stokes parameters from non-uniform division-of-focal-plane modulation


Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors


Reconstructing Three-Dimensional Models of Interacting Humans


Reconstructing Time-of-Flight Detector Values of Angular Streaking Using Machine Learning


Reconstructing Training Data from Trained Neural Networks


Reconstructing Training Data with Informed Adversaries


Reconstructing a single-head formula to facilitate logical forgetting


Reconstructing and Forecasting Marine Dynamic Variable Fields across Space and Time Globally and Gaplessly


Reconstructing cellular automata rules from observations at nonconsecutive times


Reconstructing charged-particle trajectories in the PANDA Straw Tube Tracker using the LOcal Track Finder (LOTF) algorithm


Reconstructing dynamical networks via feature ranking


Reconstructing dynamics from sparse observations with no training on target system


Reconstructing ecological community dynamics from limited observations


Reconstructing facade details using MLS point clouds and Bag-of-Words approach


Reconstructing large networks with time-varying interactions


Reconstructing magnetic deflections from sets of proton images using differential evolution


Reconstructing masses for semi-invisibly decaying particles pair-produced at lepton colliders


Reconstructing networks from simple and complex contagions


Reconstructing nodal pressures in water distribution systems with graph neural networks


Reconstructing quantum states with generative models


Reconstructing rotation curves with artificial neural networks


Reconstructing shared dynamics with a deep neural network


Reconstructing spectral functions via automatic differentiation


Reconstructing the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Inpainting Model


Reconstructing the Kinematics of Deep Inelastic Scattering with Deep Learning


Reconstructing the Lensing Mass in the Universe from Photometric Catalogue Data


Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors


Reconstructing the Tropical Pacific Upper Ocean using Online Data Assimilation with a Deep Learning model


Reconstructing the evolution history of networked complex systems


Reconstructing the visual perception of honey bees in complex 3-D worlds


Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network


Reconstructing wave profiles from inundation data


Reconstruction Attack on Differential Private Trajectory Protection Mechanisms


Reconstruction Attacks on Aggressive Relaxations of Differential Privacy


Reconstruction and Membership Inference Attacks against Generative Models


Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection


Reconstruction of Angstrom resolution exit-waves by the application of drift-corrected phase-shifting off-axis electron holography


Reconstruction of Gene Regulatory Networks usingMultiple Datasets


Reconstruction of Incomplete Wildfire Data using Deep Generative Models


Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining


Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs


Reconstruction of Three-dimensional Scroll Waves in Excitable Media from Two-Dimensional Observations using Deep Neural Networks


Reconstruction of Time-varying Graph Signals via Sobolev Smoothness


Reconstruction of angular correlations in the associated top quark and the dark matter mediator production


Reconstruction of frequency-localized functions from pointwise samples via least squares and deep learning


Reconstruction of multiple Compton scattering events in MeV gamma-ray Compton telescopes towards GRAMS: the physics-based probabilistic model


Reconstruction of nanoscale particles from single-shot wide-angle FEL diffractions patterns with physics-informed neural networks


Reconstruction of rational functions made simple


Reconstruction of the Solar Activity from the Catalogs of the Zurich Observatory


Reconstruction of the local contractility of the cardiac muscle from deficient apparent kinematics


Reconstruction of the temporal correlation network of all-cause mortality fluctuation across Italian regions: the importance of temperature and among-nodes flux


Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood Evaluation


Reconstruction-guided attention improves the robustness and shape processing of neural networks


Reconstructions of Jupiter's magnetic field using physics informed neural networks


Reconstructive Neuron Pruning for Backdoor Defense


Record statistics of emitted energies -- prediction of an upcoming failure


Recorder: Comprehensive Parallel I/O Tracing and Analysis


Recording provenance of workflow runs with RO-Crate


Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report)


Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning


Recover and Match: Open-Vocabulary Multi-Label Recognition through Knowledge-Constrained Optimal Transport


Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise


Recoverability and estimation of causal effects under typical multivariable missingness mechanisms


Recoverability of Causal Effects under Presence of Missing Data: a Longitudinal Case Study


Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples


Recoverable Robust Single Machine Scheduling with Polyhedral Uncertainty


Recovering 3D Human Mesh from Monocular Images: A Survey


Recovering Barabási-Albert Parameters of Graphs through Disentanglement


Recovering Dropped Pronouns in Chinese Conversations via Modeling Their Referents


Recovering Fine Details for Neural Implicit Surface Reconstruction


Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators


Recovering Hölder smooth functions from noisy modulo samples


Recovering Latent Confounders from High-dimensional Proxy Variables


Recovering Manifold Structure Using Ollivier-Ricci Curvature


Recovering Network Structure from Aggregated Relational Data using Penalized Regression


Recovering Private Text in Federated Learning of Language Models


Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search


Recovering Quasi-Biennial Oscillations from Chaos


Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform


Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization Problem


Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares


Recovering Single-Crossing Preferences From Approval Ballots


Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing


Recovering coefficients in a system of semilinear Helmholtz equations from internal data


Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks


Recovering high-quality FODs from a reduced number of diffusion-weighted images using a model-driven deep learning architecture


Recovering individual emotional states from sparse ratings using collaborative filtering


Recovering lost and absent information in temporal networks


Recovering or Testing Extended-Affine Equivalence


Recovering quantum gates from few average gate fidelities


Recovering semipermeable barriers from reflected Brownian motion


Recovering sparse DFT from missing signals via interior point method on GPU


Recovering the CMB Signal with Machine Learning


Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach


Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins


Recovering the Pre-Fine-Tuning Weights of Generative Models


Recovering the homology of immersed manifolds


Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition


Recovery Guarantees for Compressible Signals with Adversarial Noise


Recovery Policies for Safe Exploration of Lunar Permanently Shadowed Regions by a Solar-Powered Rover


Recovery of 21 cm intensity maps with sparse component separation


Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields


Recovery of Future Data via Convolution Nuclear Norm Minimization


Recovery of Missing Sensor Data by Reconstructing Time-varying Graph Signals


Recreating Neural Activity During Speech Production with Language and Speech Model Embeddings


Rectangle Search: An Anytime Beam Search (Extended Version)


Rectangular Pyramid Partitioning using Integrated Depth Sensors (RAPPIDS): A Fast Planner for Multicopter Navigation


Rectangular maximum volume and projective volume search algorithms


Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow


Rectified Gaussian kernel multi-view k-means clustering


Rectifier: Code Translation with Corrector via LLMs


Rectifying Demonstration Shortcut in In-Context Learning


Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation


Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective


Rectifying homographies for stereo vision: analytical solution for minimal distortion


Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition


RecurSIA-RRT: Recursive translatable point-set pattern discovery with removal of redundant translators


RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks


Recurrence With Correlation Network for Medical Image Registration


Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation


Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models


Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification


Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval


Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers


Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network


Recurrences reveal shared causal drivers of complex time series


Recurrent Action Transformer with Memory


Recurrent Alignment with Hard Attention for Hierarchical Text Rating


Recurrent Attention Models with Object-centric Capsule Representation for Multi-object Recognition


Recurrent Attention Networks for Long-text Modeling


Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic Forecasting


Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory


Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension


Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery


Recurrent Context Compression: Efficiently Expanding the Context Window of LLM


Recurrent Convolutional Fusion for RGB-D Object Recognition


Recurrent Convolutional Neural Networks help to predict location of Earthquakes


Recurrent Diffusion for Large-Scale Parameter Generation


Recurrent Distance Filtering for Graph Representation Learning


Recurrent Drafter for Fast Speculative Decoding in Large Language Models


Recurrent Early Exits for Federated Learning with Heterogeneous Clients


Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis


Recurrent Exposure Generation for Low-Light Face Detection


Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation


Recurrent Feature Reasoning for Image Inpainting


Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban Mobility


Recurrent Generic Contour-based Instance Segmentation with Progressive Learning


Recurrent Graph Neural Networks for Rumor Detection in Online Forums


Recurrent Hierarchical Topic-Guided RNN for Language Generation


Recurrent Localization Networks applied to the Lippmann-Schwinger Equation


Recurrent Mask Refinement for Few-Shot Medical Image Segmentation


Recurrent Memory Networks for Language Modeling


Recurrent Multi-scale Transformer for High-Resolution Salient Object Detection


Recurrent Multi-view Alignment Network for Unsupervised Surface Registration


Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates


Recurrent Multimodal Interaction for Referring Image Segmentation


Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction


Recurrent Neural Goodness-of-Fit Test for Time Series


Recurrent Neural Language Models as Probabilistic Finite-state Automata


Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems


Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment


Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN


Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations


Recurrent Neural Networks for Dynamic VWAP Execution: Adaptive Trading Strategies with Temporal Kolmogorov-Arnold Networks


Recurrent Neural Networks for Fuzz Testing Web Browsers


Recurrent Neural Networks for P300-based BCI


Recurrent Neural Networks for Semantic Instance Segmentation


Recurrent Neural Networks for Stochastic Control Problems with Delay


Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions


Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate


Recurrent Neural Networks with Pre-trained Language Model Embedding for Slot Filling Task


Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection


Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits


Recurrent Off-policy Baselines for Memory-based Continuous Control


Recurrent Pixel Embedding for Instance Grouping


Recurrent Poisson Factorization for Temporal Recommendation


Recurrent Reinforcement Learning with Memoroids


Recurrent Scale Approximation for Object Detection in CNN


Recurrent Scene Parsing with Perspective Understanding in the Loop


Recurrent Soft Attention Model for Common Object Recognition


Recurrent Space-time Graph Neural Networks


Recurrent Spike-based Image Restoration under General Illumination


Recurrent Sum-Product-Max Networks for Decision Making in Perfectly-Observed Environments


Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis


Recurrent Video Restoration Transformer with Guided Deformable Attention


Recurrent Vision Transformers for Object Detection with Event Cameras


Recurrent autoencoder with sequence-aware encoding


Recurrent computations for visual pattern completion


Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition


Recurrent neural networks: vanishing and exploding gradients are not the end of the story


Recurrently Controlled Recurrent Networks


Recursed is not Recursive: A Jarring Result


Recursion of Thought: A Divide-and-Conquer Approach to Multi-Context Reasoning with Language Models


Recursions Are All You Need: Towards Efficient Deep Unfolding Networks


Recursive 3D Segmentation of Shoulder Joint with Coarse-scanned MR Image


Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural Networks


Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks


Recursive CSI Quantization of Time-Correlated MIMO Channels by Deep Learning Classification


Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias


Recursive Computation of Path Homology for Stratified Digraphs


Recursive Contour Saliency Blending Network for Accurate Salient Object Detection


Recursive Distributed Collaborative Aided Inertial Navigation


Recursive Dynamic State Estimation for Power Systems with an Incomplete Nonlinear DAE Model


Recursive Estimation for Sparse Gaussian Process Regression


Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models


Recursive Feasibility Guided Optimal Parameter Adaptation of Differential Convex Optimization Policies for Safety-Critical Systems


Recursive Gaussian Process State Space Model


Recursive Generalization Transformer for Image Super-Resolution


Recursive Joint Attention for Audio-Visual Fusion in Regression based Emotion Recognition


Recursive Joint Cross-Modal Attention for Multimodal Fusion in Dimensional Emotion Recognition


Recursive KL Divergence Optimization: A Dynamic Framework for Representation Learning


Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking


Recursive Model-agnostic Inverse Dynamics of Serial Soft-Rigid Robots


Recursive Modified Pattern Search on High-dimensional Simplex : A Blackbox Optimization Technique


Recursive Monte Carlo and Variational Inference with Auxiliary Variables


Recursive Multi-model Complementary Deep Fusion forRobust Salient Object Detection via Parallel Sub Networks


Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality


Recursive Neyman Algorithm for Optimum Sample Allocation under Box Constraints on Sample Sizes in Strata


Recursive Offloading for LLM Serving in Multi-tier Networks


Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss


Recursive Path-Summing Simulation of Quantum Computation


Recursive Polynomial Method for Fast Collision Avoidance Maneuver Design


Recursive Reasoning in Minimax Games: A Level $k$ Gradient Play Method


Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans


Recursive Solution of Initial Value Problems with Temporal Discretization


Recursive Subtree Composition in LSTM-Based Dependency Parsing


Recursive classification of satellite imaging time-series: An application to land cover mapping


Recursive deep learning framework for forecasting the decadal world economic outlook


Recursive lattice reduction -- A framework for finding short lattice vectors


Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals


Recursive nonlinear-system identification using latent variables


Recursive partitioning and multi-scale modeling on conditional densities


Recursive-NeRF: An Efficient and Dynamically Growing NeRF


RecursiveMix: Mixed Learning with History


Recyclable Tuning for Continual Pre-training


Recycled Attention: Efficient inference for long-context language models


Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?


Recycling augmented Lagrangian preconditioner in an incompressible fluid solver


Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-Level Backdoor Attacks


Red Blood Cell Segmentation with Overlapping Cell Separation and Classification on Imbalanced Dataset


Red Blood Cell Sphericity Index Obtained by Defocusing Microscopy and Retinopathy Severity in Sickle Cell Disease


Red Supergiant Candidates for Multimessenger Monitoring of the Next Galactic Supernova


Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?


Red Teaming Language Models for Processing Contradictory Dialogues


Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks


Red and blue language: Word choices in the Trump & Harris 2024 presidential debate


Red is Sus: Automated Identification of Low-Quality Service Availability Claims in the US National Broadband Map


Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication


RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs


RedCASTLE: Practically Applicable $k_s$-Anonymity for IoT Streaming Data at the Edge in Node-RED


RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs


RedCode: Risky Code Execution and Generation Benchmark for Code Agents


RedDebate: Safer Responses through Multi-Agent Red Teaming Debates


RedDwarfData: a simplified dataset of StarCraft matches


RedMulE-FT: A Reconfigurable Fault-Tolerant Matrix Multiplication Engine


RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration


RedPajama: an Open Dataset for Training Large Language Models


RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to Spans


RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks


RedRFT: A Light-Weight Benchmark for Reinforcement Fine-Tuning-Based Red Teaming


RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environments


RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models


Redefining Contributions: Shapley-Driven Federated Learning


Redefining Digital Health Interfaces with Large Language Models


Redefining Hybrid Blockchains: A Balanced Architecture


Redefining Machine Translation on Social Network Services with Large Language Models


Redefining Normal: A Novel Object-Level Approach for Multi-Object Novelty Detection


Redefining Temporal Modeling in Video Diffusion: The Vectorized Timestep Approach


Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions


Redefining the Laparoscopic Spatial Sense: AI-based Intra- and Postoperative Measurement from Stereoimages


Redesigning Multi-Scale Neural Network for Crowd Counting


Redesigning Service Level Agreements: Equity and Efficiency in City Government Operations


Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems


Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records


Redistributing the Precision and Content in 3D-LUT-based Inverse Tone-mapping for HDR/WCG Display


Redshift Drift in Relativistic N-Body Simulations


Redshift Measurement and Spectral Classification for eBOSS Galaxies with the Redmonster Software


Redshift determination through weighted phase correlation: a linearithmic implementation


Redshift estimates for fast radio bursts and implications on intergalactic magnetic fields


Reduce Computational Complexity for Continuous Wavelet Transform in Acoustic Recognition Using Hop Size


Reduce&chop: Shallow circuits for deeper problems


Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC


Reduce, Reuse, Reinterpret: an end-to-end pipeline for recycling particle physics results


Reduced Cloud Cover Errors in a Hybrid AI-Climate Model Through Equation Discovery And Automatic Tuning


Reduced Dilation-Erosion Perceptron for Binary Classification


Reduced Order Modeling with Shallow Recurrent Decoder Networks


Reduced Order Probabilistic Emulation for Physics-Based Thermosphere Models


Reduced Policy Optimization for Continuous Control with Hard Constraints


Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers


Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching


Reduced Wannier representation for topological bands


Reduced atmospheres of post-impact worlds: The early Earth


Reduced basis surrogates for quantum spin systems based on tensor networks


Reduced order model of a convection-diffusion equation using Proper Orthogonal Decomposition


Reduced order modeling for elliptic problems with high contrast diffusion coefficients


Reduced storage direct tensor ring decomposition for convolutional neural networks compression


Reduced submodules of finite dimensional polynomial modules


Reduced word enumeration, complexity, and randomization


Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction


Reduced-Order Autodifferentiable Ensemble Kalman Filters


Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs


Reduced-Rank Regression with Operator Norm Error


Reduced-Reference Quality Assessment of Point Clouds via Content-Oriented Saliency Projection


Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations


Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders


Reduced-order modeling of left ventricular flow subject to aortic valve regurgitation


Reduced-order surrogate models for scalar-tensor gravity in the strong field and applications to binary pulsars and GW170817


ReducedLUT: Table Decomposition with "Don't Care" Conditions


Reducing ANN-SNN Conversion Error through Residual Membrane Potential


Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation


Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation


Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning


Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift


Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries


Reducing Biases in Record Matching Through Scores Calibration


Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd Counting


Reducing Causality to Functions with Structural Models


Reducing Certified Regression to Certified Classification for General Poisoning Attacks


Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds


Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks


Reducing Communication in Graph Neural Network Training


Reducing Complexity of HEVC: A Deep Learning Approach


Reducing Data Complexity using Autoencoders with Class-informed Loss Functions


Reducing Discontinuous to Continuous Parsing with Pointer Network Reordering


Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators


Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments


Reducing Exploitability with Population Based Training


Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation


Reducing Flipping Errors in Deep Neural Networks


Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem


Reducing Hallucinations in Entity Abstract Summarization with Facts-Template Decomposition


Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping


Reducing Hyperparameter Tuning Costs in ML, Vision and Language Model Training Pipelines via Memoization-Awareness


Reducing Inference Energy Consumption Using Dual Complementary CNNs


Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation


Reducing Label Noise in Anchor-Free Object Detection


Reducing Language confusion for Code-switching Speech Recognition with Token-level Language Diarization


Reducing Memory Contention and I/O Congestion for Disk-based GNN Training


Reducing Metadata Leakage from Encrypted Files and Communication with PURBs


Reducing Misinformation in Query Autocompletions


Reducing Onboard Processing Time for Path Planning in Dynamically Evolving Polygonal Maps


Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks


Reducing Popularity Bias in Recommender Systems through AUC-Optimal Negative Sampling


Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval


Reducing Quantity Hallucinations in Abstractive Summarization


Reducing Reparameterization Gradient Variance


Reducing Safety Interventions in Provably Safe Reinforcement Learning


Reducing Self-Interaction Error in Transition-Metal Oxides with Different Exact-Exchange Fractions for Energy and Density


Reducing Semantic Ambiguity In Domain Adaptive Semantic Segmentation Via Probabilistic Prototypical Pixel Contrast


Reducing Sensitivity on Speaker Names for Text Generation from Dialogues


Reducing Sensor Requirements by Relaxing the Network Metric Dimension


Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method


Reducing Size Bias in Epidemic Network Modelling


Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks


Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework


Reducing Spreading Processes on Networks to Markov Population Models


Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding


Reducing Subspace Models for Large-Scale Covariance Regression


Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion


Reducing Training Sample Memorization in GANs by Training with Memorization Rejection


Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks


Reducing Weighted Ensemble Variance With Optimal Trajectory Management


Reducing annotator bias by belief elicitation


Reducing bias and alleviating the influence of excess of zeros with multioutcome adaptive LAD-lasso


Reducing bias and variance in quantile estimates with an exponential model


Reducing complexity and unidentifiability when modelling human atrial cells


Reducing hardware requirements for entanglement distribution via joint hardware-protocol optimization


Reducing latency and bandwidth for video streaming using keypoint extraction and digital puppetry


Reducing quantum error correction overhead using soft information


Reducing qubit requirements for quantum simulation using molecular point group symmetries


Reducing roundoff errors in numerical integration of planetary ephemeris


Reducing shared memory footprint to leverage high throughput on Tensor Cores and its flexible API extension library


Reducing societal impacts of SARS-CoV-2 interventions through subnational implementation


Reducing stabilizer circuits without the symplectic group


Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization


Reducing the Cost: Cross-Prompt Pre-Finetuning for Short Answer Scoring


Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment


Reducing the Gibbs effect in multimodal medical imaging by the Fake Nodes Approach


Reducing the Human Factor in Virtual Reality Research to Increase Reproducibility and Replicability


Reducing the Long Tail Losses in Scientific Emulations with Active Learning


Reducing the Number of Qubits from $n^2$ to $n\log_{2} (n)$ to Solve the Traveling Salesman Problem with Quantum Computers: A Proposal for Demonstrating Quantum Supremacy in the NISQ Era


Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement


Reducing the Teacher-Student Gap via Spherical Knowledge Disitllation


Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critic's Hypothesis Space to RKHS


Reducing the dimensionality and granularity in hierarchical categorical variables


Reducing the dimensionality of data using tempered distributions


Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization


Reducing the variance in online optimization by transporting past gradients


Reducing transmission expansion by co-optimizing sizing of wind, solar, storage and grid connection capacity


Reducing variability in along-tract analysis with diffusion profile realignment


Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT