RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty


Ridgeless Regression with Random Features


Riemann Normal Coordinate expansions using Cadabra


Riemann-Oracle: A general-purpose Riemannian optimizer to solve nearness problems in matrix theory


Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval


RiemannONets: Interpretable Neural Operators for Riemann Problems


Riemannian Geometry Approach for Minimizing Distortion and its Applications


Riemannian Geometry and Molecular Similarity II: Kähler Quantization


Riemannian Geometry and Molecular Surfaces I: Spectrum of the Laplacian


Riemannian Interior Point Methods for Constrained Optimization on Manifolds


Riemannian L-systems: Modeling growing forms in curved spaces


Riemannian Laplace Approximation with the Fisher Metric


Riemannian Local Mechanism for SPD Neural Networks


Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling


Riemannian Optimization for Active Mapping with Robot Teams


Riemannian Optimization for Skip-Gram Negative Sampling


Riemannian Optimization on Relaxed Indicator Matrix Manifold


Riemannian Optimization via Frank-Wolfe Methods


Riemannian Score-Based Generative Modelling


Riemannian Stochastic Variance-Reduced Cubic Regularized Newton Method for Submanifold Optimization


Riemannian approach to batch normalization


Riemannian block SPD coupling manifold and its application to optimal transport


Riemannian data-dependent randomized smoothing for neural networks certification


Riemannian geometry for efficient analysis of protein dynamics data


Riemannian optimisation methods for ground states of multicomponent Bose-Einstein condensates


Riemannian optimization for non-centered mixture of scaled Gaussian distributions


Riemannian preconditioned coordinate descent for low multi-linear rank approximation


Riemannian quantum circuit optimization based on matrix product operators


Riemannian quantum circuit optimization for Hamiltonian simulation


Rieoptax: Riemannian Optimization in JAX


Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image Denoising


RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests


RigNet: Neural Rigging for Articulated Characters


Riggable 3D Face Reconstruction via In-Network Optimization


Rigged Dynamic Mode Decomposition: Data-Driven Generalized Eigenfunction Decompositions for Koopman Operators


Right Time to Learn:Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation


Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition


Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?


Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference


Right on Time: Revising Time Series Models by Constraining their Explanations


Right this way: Can VLMs Guide Us to See More to Answer Questions?


Rigid Base Biasing in Molecular Dynamics enables enhanced sampling of DNA conformations


Rigid Body Flows for Sampling Molecular Crystal Structures


Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction


Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields


Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and Interpretation


Rigidity results on gradient Schouten solitons


RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content


Rigorous Analytic Combinatorics in Several Variables in SageMath


Rigorous Enclosures of Solutions of Neumann Boundary Value Problems


Rigorous Maximum Likelihood Estimation for Quantum States


Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations


Rigorous Simulation-based Testing for Autonomous Driving Systems -- Targeting the Achilles' Heel of Four Open Autopilots


Rigorous bounds on the heat transport of rotating convection with Ekman pumping


Rigorous computation of Maass cusp forms of squarefree level


Rigorous computation of solutions of semi-linear PDEs on unbounded domains via spectral methods


Rigorous computation of the endomorphism ring of a Jacobian


Rigorous constraints on three-nucleon forces in chiral effective field theory from fast and accurate calculations of few-body observables


Rigorous dynamical mean field theory for stochastic gradient descent methods


Rigorously proven chaos in chemical kinetics


Riiid! Answer Correctness Prediction Kaggle Challenge: 4th Place Solution Summary


Ring Artifact Correction in Photon-Counting Spectral CT Using a Convolutional Neural Network With Spectral Loss


Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?


RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction


RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification


Rings: an efficient Java/Scala library for polynomial rings


Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results


Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic Solids


Riposte: An Anonymous Messaging System Handling Millions of Users


RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds


Ripser: efficient computation of Vietoris-Rips persistence barcodes


Riroriro: Simulating gravitational waves and evaluating their detectability in Python


Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective


Rise of the Machines? Intraday High-Frequency Trading Patterns of Cryptocurrencies


Rise of the Planet of Serverless Computing: A Systematic Review


RisingBALLER: A player is a token, a match is a sentence, A path towards a foundational model for football players data analytics


Risk Analysis of Flowlines in the Oil and Gas Sector: A GIS and Machine Learning Approach


Risk Assessment Graphs: Utilizing Attack Graphs for Risk Assessment


Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & Control


Risk Bounds for Mixture Density Estimation on Compact Domains via the $h$-Lifted Kullback--Leibler Divergence


Risk Budgeting Portfolios from Simulations


Risk Communication in Asian Countries: COVID-19 Discourse on Twitter


Risk Sensitive Rendezvous Algorithm for Heterogeneous Agents in Urban Environments


Risk aversion in flexible electricity markets


Risk budget portfolios with convex Non-negative Matrix Factorization


Risk forecasting using Long Short-Term Memory Mixture Density Networks


Risk mapping for COVID-19 outbreaks using mobility data


Risk markers by sex for in-hospital mortality in patients with acute coronary syndrome: a machine learning approach


Risk measures based on weak optimal transport


Risk of Bias in Chest Radiography Deep Learning Foundation Models


Risk of estimators for Sobol' sensitivity indices based on metamodels


Risk of re-identification for shared clinical speech recordings


Risk ratio, odds ratio, risk difference... Which causal measure is easier to generalize?


Risk score learning for COVID-19 contact tracing apps


Risk theory in a finite customer-pool setting


Risk- and Variance-Aware Electricity Pricing


Risk-Averse Action Selection Using Extreme Value Theory Estimates of the CVaR


Risk-Averse Finetuning of Large Language Models


Risk-Averse Offline Reinforcement Learning


Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty


Risk-Averse Reinforcement Learning: An Optimal Transport Perspective on Temporal Difference Learning


Risk-Averse Self-Scheduling of Storage in Decentralized Markets


Risk-Averse Trajectory Optimization via Sample Average Approximation


Risk-Aware Active Inverse Reinforcement Learning


Risk-Aware Bid Optimization for Online Display Advertisement


Risk-Aware Continuous Control with Neural Contextual Bandits


Risk-Aware Decision Making in Service Robots to Minimize Risk of Patient Falls in Hospitals


Risk-Aware Distributional Intervention Policies for Language Models


Risk-Aware Finite-Horizon Social Optimal Control of Mean-Field Coupled Linear-Quadratic Subsystems


Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids


Risk-Aware MPC for Stochastic Systems with Runtime Temporal Logics


Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous Driving


Risk-Aware Robot Control in Dynamic Environments Using Belief Control Barrier Functions


Risk-Aware and Explainable Framework for Ensuring Guaranteed Coverage in Evolving Hardware Trojan Detection


Risk-Driven Design of Perception Systems


Risk-Limiting Audits by Stratified Union-Intersection Tests of Elections (SUITE)


Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games


Risk-Sensitive Policy with Distributional Reinforcement Learning


Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts


Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing


Risk-averse Heteroscedastic Bayesian Optimization


Risk-averse Total-reward MDPs with ERM and EVaR


Risk-averse optimization of total rewards in Markovian models using deviation measures


Risk-aware Direct Preference Optimization under Nested Risk Measure


Risk-aware MPPI for Stochastic Hybrid Systems


Risk-aware Trajectory Prediction by Incorporating Spatio-temporal Traffic Interaction Analysis


Risk-aware Urban Air Mobility Network Design with Overflow Redundancy


Risk-graded Safety for Handling Medical Queries in Conversational AI


Risk-indifference Pricing of American-style Contingent Claims


Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification


Risk-sensitive Bandits: Arm Mixture Optimality and Regret-efficient Algorithms


Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods


Risk-sensitive control as inference with Rényi divergence


Risk-sensitive safety analysis using Conditional Value-at-Risk


RiskBench: A Scenario-based Benchmark for Risk Identification


RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization


Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation


Risks of Practicing Large Language Models in Smart Grid: Threat Modeling and Validation


Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer


River Ice Segmentation with Deep Learning


RiverBench: an Open RDF Streaming Benchmark Suite


Riveter: Measuring Power and Social Dynamics Between Entities


Rmagine: 3D Range Sensor Simulation in Polygonal Maps via Raytracing for Embedded Hardware on Mobile Robots


RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering


Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object Segmentation


RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training


RoBERTuito: a pre-trained language model for social media text in Spanish


RoBIC: A benchmark suite for assessing classifiers robustness


RoBIn: A Transformer-Based Model For Risk Of Bias Inference With Machine Reading Comprehension


RoBo6: Standardized MMT Light Curve Dataset for Rocket Body Classification


RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning


RoBus: A Multimodal Dataset for Controllable Road Networks and Building Layouts Generation


RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data


RoCUS: Robot Controller Understanding via Sampling


RoCar: A Relationship Network-based Evaluation Method for Large Language Models


RoChBert: Towards Robust BERT Fine-tuning for Chinese


RoCo-Sim: Enhancing Roadside Collaborative Perception through Foreground Simulation


RoCo: Dialectic Multi-Robot Collaboration with Large Language Models


RoCo:Robust Collaborative Perception By Iterative Object Matching and Pose Adjustment


RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates


RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction


RoCode: A Dataset for Measuring Code Intelligence from Problem Definitions in Romanian


RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model


RoFL: Robust Fingerprinting of Language Models


RoFL: Robustness of Secure Federated Learning


RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image Classification


RoGSplat: Learning Robust Generalizable Human Gaussian Splatting from Sparse Multi-View Images


RoGs: Large Scale Road Surface Reconstruction with Meshgrid Gaussian


RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks


RoHOI: Robustness Benchmark for Human-Object Interaction Detection


RoHan: Robust Hand Detection in Operation Room


RoLD: Robot Latent Diffusion for Multi-task Policy Modeling


RoLargeSum: A Large Dialect-Aware Romanian News Dataset for Summary, Headline, and Keyword Generation


RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization


RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing


RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions


RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering


RoMath: A Mathematical Reasoning Benchmark in Romanian


RoMe: A Robust Metric for Evaluating Natural Language Generation


RoMe: Towards Large Scale Road Surface Reconstruction via Mesh Representation


RoMu4o: A Robotic Manipulation Unit For Orchard Operations Automating Proximal Hyperspectral Leaf Sensing


RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation


RoPINN: Region Optimized Physics-Informed Neural Networks


RoR: Read-over-Read for Long Document Machine Reading Comprehension


RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching


RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning


RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision


RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search


RoSSO: A High-Performance Python Package for Robotic Surveillance Strategy Optimization Using JAX


RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception


RoSteALS: Robust Steganography using Autoencoder Latent Space


RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning


RoToR: Towards More Reliable Responses for Order-Invariant Inputs


RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data


RoWeeder: Unsupervised Weed Mapping through Crop-Row Detection


Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding


Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN


Road Damage Detection Based on Unsupervised Disparity Map Segmentation


Road Damage Detection and Classification with Detectron2 and Faster R-CNN


Road Damage Detection using Deep Ensemble Learning


Road Extraction with Satellite Images and Partial Road Maps


Road Graph Generator: Mapping roads at construction sites from GPS data


Road Network Guided Fine-Grained Urban Traffic Flow Inference


Road Planning for Slums via Deep Reinforcement Learning


Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles


Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic Segmentation


Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks


Road surface 3d reconstruction based on dense subpixel disparity map estimation


RoadBEV: Road Surface Reconstruction in Bird's Eye View


RoadNet-RT: High Throughput CNN Architecture and SoC Design for Real-Time Road Segmentation


RoadTagger: Robust Road Attribute Inference with Graph Neural Networks


Roadside Lidar Vehicle Detection and Tracking Using Range And Intensity Background Subtraction


Roamify: Designing and Evaluating an LLM Based Google Chrome Extension for Personalised Itinerary Planning


RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search


RobArch: Designing Robust Architectures against Adversarial Attacks


RobBERT: a Dutch RoBERTa-based Language Model


RobFR: Benchmarking Adversarial Robustness on Face Recognition


RobOT: Robustness-Oriented Testing for Deep Learning Systems


Robbie: A Batch Processing Work-flow for the Detection of Radio Transients andVariables


Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning


Robin: A Novel Method to Produce Robust Interpreters for Deep Learning-Based Code Classifiers


Robo-Platform: A Robotic System for Recording Sensors and Controlling Robots


Robo-taxi Fleet Coordination at Scale via Reinforcement Learning


RoboBERT: An End-to-end Multimodal Robotic Manipulation Model


RoboCAS: A Benchmark for Robotic Manipulation in Complex Object Arrangement Scenarios


RoboCar: A Rapidly Deployable Open-Source Platform for Autonomous Driving Research


RoboCupSimData: A RoboCup soccer research dataset


RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation


RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction


RoboFiSense: Attention-Based Robotic Arm Activity Recognition with WiFi Sensing


RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM


RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models


RoboMM: All-in-One Multimodal Large Model for Robotic Manipulation


RoboMNIST: A Multimodal Dataset for Multi-Robot Activity Recognition Using WiFi Sensing, Video, and Audio


RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World


RoboOS: A Hierarchical Embodied Framework for Cross-Embodiment and Multi-Agent Collaboration


RoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation through Embedding Predictive Pre-Training


RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning


RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environments


RoboUniView: Visual-Language Model with Unified View Representation for Robotic Manipulation


RobocupGym: A challenging continuous control benchmark in Robocup


Robofleet: Open Source Communication and Management for Fleets of Autonomous Robots


Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark


Robofriend: An Adpative Storytelling Robotic Teddy Bear - Technical Report


Robot Co-design: Beyond the Monotone Case


Robot Control based on Motor Primitives -- A Comparison of Two Approaches


Robot Development and Path Planning for Indoor Ultraviolet Light Disinfection


Robot Goes Fishing: Rapid, High-Resolution Biological Hotspot Mapping in Coral Reefs with Vision-Guided Autonomous Underwater Vehicles


Robot Learning Using Multi-Coordinate Elastic Maps


Robot Learning from Demonstration Using Elastic Maps


Robot Learning of Shifting Objects for Grasping in Cluttered Environments


Robot Motion Planning in Learned Latent Spaces


Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning


Robot Object Retrieval with Contextual Natural Language Queries


Robot Perception of Static and Dynamic Objects with an Autonomous Floor Scrubber


Robot Person Following Under Partial Occlusion


Robot Policy Learning with Temporal Optimal Transport Reward


Robot Positioning Using Torus Packing for Multisets


Robot Program Parameter Inference via Differentiable Shadow Program Inversion


Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction


Robot Shape and Location Retention in Video Generation Using Diffusion Models


Robot Skill Learning Via Classical Robotics-Based Generated Datasets: Advantages, Disadvantages, and Future Improvement


Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation from Image Sequence


Robot Task Planning Based on Large Language Model Representing Knowledge with Directed Graph Structures


Robot Trajectron: Trajectory Prediction-based Shared Control for Robot Manipulation


Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments


Robot Vitals and Robot Health: Towards Systematically Quantifying Runtime Performance Degradation in Robots Under Adverse Conditions


Robot at the Mirror: Learning to Imitate via Associating Self-supervised Models


Robot-Assisted Deep Venous Thrombosis Ultrasound Examination using Virtual Fixture


Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism


RobotDiffuse: Motion Planning for Redundant Manipulator based on Diffusion Model


RobotIQ: Empowering Mobile Robots with Human-Level Planning for Real-World Execution


RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS


RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance


Robotic Compliant Object Prying Using Diffusion Policy Guided by Vision and Force Observations


Robotic Control Using Model Based Meta Adaption


Robotic Control of the Deformation of Soft Linear Objects Using Deep Reinforcement Learning


Robotic Depowdering for Additive Manufacturing Via Pose Tracking


Robotic Grasping from Classical to Modern: A Survey


Robotic Ironing with 3D Perception and Force/Torque Feedback in Household Environments


Robotic Learning in your Backyard: A Neural Simulator from Open Source Components


Robotic Learning the Sequence of Packing Irregular Objects from Human Demonstrations


Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning


Robotic Pick-and-Place With Uncertain Object Instance Segmentation and Shape Completion


Robotic Scene Segmentation with Memory Network for Runtime Surgical Context Inference


Robotic Sim-to-Real Transfer for Long-Horizon Pick-and-Place Tasks in the Robotic Sim2Real Competition


Robotic Surgery With Lean Reinforcement Learning


Robotic observation pipeline for small bodies in the solar system based on open-source software and commercially available telescope hardware


Robotic warehousing operations: a learn-then-optimize approach to large-scale neighborhood search


Robots Can Feel: LLM-based Framework for Robot Ethical Reasoning


Robots as Actors in a Film: No War, A Robot Story


Robots with Attitude: Singularity-Free Quaternion-Based Model-Predictive Control for Agile Legged Robots


Robots-Dont-Cry: Understanding Falsely Anthropomorphic Utterances in Dialog Systems


Robowflex: Robot Motion Planning with MoveIt Made Easy


RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations


Robust $Q$-learning Algorithm for Markov Decision Processes under Wasserstein Uncertainty


Robust & Asymptotically Locally Optimal UAV-Trajectory Generation Based on Spline Subdivision


Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning


Robust 3D Cell Segmentation: Extending the View of Cellpose


Robust 3D Gaussian Splatting for Novel View Synthesis in Presence of Distractors


Robust 3D Object Detection from LiDAR-Radar Point Clouds via Cross-Modal Feature Augmentation


Robust 3D Semantic Occupancy Prediction with Calibration-free Spatial Transformation


Robust 6D Object Pose Estimation by Learning RGB-D Features


Robust AI-Generated Face Detection with Imbalanced Data


Robust AI-Generated Text Detection by Restricted Embeddings


Robust Active Measuring under Model Uncertainty


Robust Aggregation for Federated Learning


Robust Angular Local Descriptor Learning


Robust Angular Synchronization via Directed Graph Neural Networks


Robust Anytime Learning of Markov Decision Processes


Robust Approaches to Handling Complex Geometries with Galerkin Difference Methods


Robust Approximate Characterization of Single-Cell Heterogeneity in Microbial Growth


Robust Assessment of Clustering Methods for Fast Radio Transient Candidates


Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients


Robust Attacks against Multiple Classifiers


Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction


Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport


Robust Audio Adversarial Example for a Physical Attack


Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms


Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics


Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport


Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning


Robust Bayesian Classification Using an Optimistic Score Ratio


Robust Bayesian Functional Principal Component Analysis


Robust Bayesian Graphical Regression Models for Assessing Tumor Heterogeneity in Proteomic Networks


Robust Bayesian Inference for Censored Survival Models


Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap


Robust Bayesian Model Selection for Variable Clustering with the Gaussian Graphical Model


Robust Bayesian Modeling of Counts with Zero inflation and Outliers: Theoretical Robustness and Efficient Computation


Robust Bayesian Nonparametric Variable Selection for Linear Regression


Robust Bayesian Optimization via Localized Online Conformal Prediction


Robust Bayesian Tensor Factorization with Zero-Inflated Poisson Model and Consensus Aggregation


Robust Benchmarking for Machine Learning of Clinical Entity Extraction


Robust Bias Detection in MLMs and its Application to Human Trait Ratings


Robust Binary Models by Pruning Randomly-initialized Networks


Robust Blockwise Random Pivoting: Fast and Accurate Adaptive Interpolative Decomposition


Robust Bond Portfolio Construction via Convex-Concave Saddle Point Optimization


Robust Building-based Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes


Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images


Robust Calibration of Large Vision-Language Adapters


Robust Capacity Expansion Modelling for Renewable Energy Systems under Weather and Demand Uncertainty


Robust Cascade Reconstruction by Steiner Tree Sampling


Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features


Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness


Robust Causal Graph Representation Learning against Confounding Effects


Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria


Robust Channel Estimation for Optical Wireless Communications Using Neural Network


Robust Channel Learning for Large-Scale Radio Speaker Verification


Robust Claim Verification Through Fact Detection


Robust Classification by Coupling Data Mollification with Label Smoothing


Robust Classification of High-Dimensional Data using Data-Adaptive Energy Distance


Robust Classification using Contractive Hamiltonian Neural ODEs


Robust Classification via Support Vector Machines


Robust Closed-loop Model Predictive Control via System Level Synthesis


Robust Clustering on High-Dimensional Data with Stochastic Quantization


Robust Co-Design of Canonical Underactuated Systems for Increased Certifiable Stability


Robust Collaborative 3D Object Detection in Presence of Pose Errors


Robust Collaborative Filtering to Popularity Distribution Shift


Robust Collaborative Learning with Linear Gradient Overhead


Robust Compressed Sensing MRI with Deep Generative Priors


Robust Compressed Sensing using Generative Models


Robust Compressive Phase Retrieval via Deep Generative Priors


Robust Concept Erasure via Kernelized Rate-Distortion Maximization


Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons


Robust Conditional Generative Adversarial Networks


Robust Confidence Bands for Stochastic Processes Using Simulation


Robust Confidence Intervals in Stereo Matching using Possibility Theory


Robust Conformal Outlier Detection under Contaminated Reference Data


Robust Conformal Prediction Using Privileged Information


Robust Conformal Prediction for STL Runtime Verification under Distribution Shift


Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues


Robust Contact State Estimation in Humanoid Walking Gaits


Robust Contrastive Learning Using Negative Samples with Diminished Semantics


Robust Contrastive Learning against Noisy Views


Robust Control Barrier Functions with Sector-Bounded Uncertainties


Robust Control Design for Linear Systems via Multiplicative Noise


Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy


Robust Control of Partially Specified Boolean Networks


Robust Conversational Agents against Imperceptible Toxicity Triggers


Robust Coordinate Ascent Variational Inference with Markov chain Monte Carlo simulations


Robust Correction of Sampling Bias Using Cumulative Distribution Functions


Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees


Robust Covariance Estimation for High-dimensional Compositional Data with Application to Microbial Communities Analysis


Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model


Robust Cross-Modal Knowledge Distillation for Unconstrained Videos


Robust Cross-lingual Embeddings from Parallel Sentences


Robust Cross-lingual Hypernymy Detection using Dependency Context


Robust Curve Detection in Volumetric Medical Imaging via Attraction Field


Robust DOA estimation using deep acoustic imaging


Robust Data Clustering with Outliers via Transformed Tensor Low-Rank Representation


Robust Data Hiding Using Inverse Gradient Attention


Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy


Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge


Robust Data-Driven Discovery of Partial Differential Equations under Uncertainties


Robust Data-Driven Safe Control using Density Functions


Robust Data-Driven Tube-Based Zonotopic Predictive Control with Closed-Loop Guarantees


Robust Data-driven Prescriptiveness Optimization


Robust Data2vec: Noise-robust Speech Representation Learning for ASR by Combining Regression and Improved Contrastive Learning


Robust Deep Ensemble Method for Real-world Image Denoising


Robust Deep Hawkes Process under Label Noise of Both Event and Occurrence


Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels


Robust Deep Neural Network Estimation for Multi-dimensional Functional Data


Robust Deep Reinforcement Learning Scheduling via Weight Anchoring


Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations


Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum


Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space


Robust Deep Signed Graph Clustering via Weak Balance Theory


Robust Depth Enhancement via Polarization Prompt Fusion Tuning


Robust Design and Analysis of Clinical Trials With Non-proportional Hazards: A Straw Man Guidance from a Cross-pharma Working Group


Robust Detection Outcome: A Metric for Pathology Detection in Medical Images


Robust Detection of Watermarks for Large Language Models Under Human Edits


Robust Detrending of Spatially Correlated Systematics in Kepler Light Curves Using Low-Rank Methods


Robust Direct Data-Driven Control for Probabilistic Systems


Robust Disentanglement of a Few Factors at a Time


Robust Distortion-free Watermarks for Language Models


Robust Distributed Bayesian Learning with Stragglers via Consensus Monte Carlo


Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment


Robust Double-Encoder Network for RGB-D Panoptic Segmentation


Robust Dual-Modal Speech Keyword Spotting for XR Headsets


Robust Dynamic Facial Expression Recognition


Robust Dynamic Multi-Modal Data Fusion: A Model Uncertainty Perspective


Robust Dynamic Network Embedding via Ensembles


Robust ENF Estimation Based on Harmonic Enhancement and Maximum Weight Clique


Robust Earthquake Location using Random Sample Consensus (RANSAC)


Robust Ego and Object 6-DoF Motion Estimation and Tracking


Robust Ellipsoid Fitting Using Axial Distance and Combination


Robust Emax Model Fitting: Addressing Nonignorable Missing Binary Outcome in Dose-Response Analysis


Robust Encodings: A Framework for Combating Adversarial Typos


Robust End-to-End Offline Chinese Handwriting Text Page Spotter with Text Kernel


Robust Ensembling Network for Unsupervised Domain Adaptation


Robust Entropy Search for Safe Efficient Bayesian Optimization


Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection


Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements


Robust Estimation and Inference in Panels with Interactive Fixed Effects


Robust Estimation of Causal Heteroscedastic Noise Models


Robust Estimation of Self-Exciting Generalized Linear Models with Application to Neuronal Modeling


Robust Estimation of Similarity Transformation for Visual Object Tracking


Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models


Robust Evaluation of Language-Brain Encoding Experiments


Robust Evaluation of Longitudinal Surrogate Markers with Censored Data


Robust Event-Driven Interactions in Cooperative Multi-Agent Learning


Robust Explainer Recommendation for Time Series Classification


Robust Explanation Constraints for Neural Networks


Robust Explanations for Visual Question Answering


Robust FWER control in Neuroimaging using Random Field Theory: Riding the SuRF to Continuous Land Part 2


Robust Face Detection via Learning Small Faces on Hard Images


Robust Face Verification via Disentangled Representations


Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks


Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers


Robust Fair Clustering: A Novel Fairness Attack and Defense Framework


Robust Feature Inference: A Test-time Defense Strategy using Spectral Projections


Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning


Robust Feature Learning for Multi-Index Models in High Dimensions


Robust Federated Learning Against Poisoning Attacks: A GAN-Based Defense Framework


Robust Federated Learning with Attack-Adaptive Aggregation


Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification


Robust Few-shot Learning Without Using any Adversarial Samples


Robust Fine-Tuning of Vision-Language Models for Domain Generalization


Robust Fine-tuning of Zero-shot Models via Variance Reduction


Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances


Robust Fingerprinting of Genomic Databases


Robust First and Second-Order Differentiation for Regularized Optimal Transport


Robust Fitting of Mixture Models using Weighted Complete Estimating Equations


Robust Frequency-Based Structure Extraction


Robust Functional ANOVA with Application to Additive Manufacturing


Robust Gaussian Process Regression Based on Iterative Trimming


Robust Generalised Bayesian Inference for Intractable Likelihoods


Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank


Robust Graph Clustering via Meta Weighting for Noisy Graphs


Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification


Robust Graph Neural Network based on Graph Denoising


Robust Graph Neural Networks using Weighted Graph Laplacian


Robust Graph Neural Networks via Unbiased Aggregation


Robust Graph Representation Learning for Local Corruption Recovery


Robust Graph Structure Learning via Multiple Statistical Tests


Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain-Specific Machine Translation


Robust Guided Diffusion for Offline Black-Box Optimization


Robust Gyroscope-Aided Camera Self-Calibration


Robust Heart Rate Detection via Multi-Site Photoplethysmography


Robust High-Dimensional Mean Estimation With Low Data Size, an Empirical Study


Robust High-Resolution Video Matting with Temporal Guidance


Robust Hole-Detection in Triangular Meshes Irrespective of the Presence of Singular Vertices


Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion


Robust Human Identity Anonymization using Pose Estimation


Robust Human Matting via Semantic Guidance


Robust Hybrid Classical-Quantum Transfer Learning Model for Text Classification Using GPT-Neo 125M with LoRA & SMOTE Enhancement


Robust Hybrid Learning With Expert Augmentation


Robust Hybrid Precoding for Millimeter Wave MU-MISO System Via Meta-Learning


Robust Image Classification Using A Low-Pass Activation Function and DCT Augmentation


Robust Image Ordinal Regression with Controllable Image Generation


Robust Image Reconstruction with Misaligned Structural Information


Robust Image Watermarking based on Cross-Attention and Invariant Domain Learning


Robust Imaging Sonar-based Place Recognition and Localization in Underwater Environments


Robust Imitation Learning against Variations in Environment Dynamics


Robust Implicit Networks via Non-Euclidean Contractions


Robust Incremental Neural Semantic Graph Parsing


Robust Incremental State Estimation through Covariance Adaptation


Robust Independent Validation of Experiment and Theory: Rivet version 3


Robust Inference Under Heteroskedasticity via the Hadamard Estimator


Robust Inference for High-Dimensional Linear Models via Residual Randomization


Robust Inference for Mediated Effects in Partially Linear Models


Robust Inference via Generative Classifiers for Handling Noisy Labels


Robust Information Bottleneck for Task-Oriented Communication with Digital Modulation


Robust Instance Segmentation through Reasoning about Multi-Object Occlusion


Robust Integrative Biclustering for Multi-view Data


Robust Interaction-Based Relevance Modeling for Online e-Commerce Search


Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch


Robust Joint Estimation of Galaxy Redshift and Spectral Templates using Online Dictionary Learning


Robust Kalman Filters Based on the Sub-Gaussian $α$-stable Distribution


Robust Kernel Density Estimation with Median-of-Means principle


Robust Kernel Sparse Subspace Clustering


Robust Keystroke Biometric Anomaly Detection


Robust Knowledge Adaptation for Dynamic Graph Neural Networks


Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher Model


Robust Knowledge Distillation in Federated Learning: Counteracting Backdoor Attacks


Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network


Robust Knowledge Transfer in Tiered Reinforcement Learning


Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling


Robust LLM Fingerprinting via Domain-Specific Watermarks


Robust LLM Unlearning with MUDMAN: Meta-Unlearning with Disruption Masking And Normalization


Robust Lane Detection via Expanded Self Attention


Robust Large-Scale Localization in 3D Point Clouds Revisited


Robust Lasso-Zero for sparse corruption and model selection with missing covariates


Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?


Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining


Robust Learning from Observation with Model Misspecification


Robust Learning via Conditional Prevalence Adjustment


Robust Learning with the Hilbert-Schmidt Independence Criterion


Robust Learning-Augmented Caching: An Experimental Study


Robust Learning-Based Control via Bootstrapped Multiplicative Noise


Robust LiDAR-Camera Calibration with 2D Gaussian Splatting


Robust Light-Weight Facial Affective Behavior Recognition with CLIP


Robust Line Segments Matching via Graph Convolution Networks


Robust Linear Mixed Models using Hierarchical Gamma-Divergence


Robust Local Features for Improving the Generalization of Adversarial Training


Robust Local Polynomial Regression with Similarity Kernels


Robust Localization in Wireless Networks From Corrupted Signals


Robust Long-Term Object Tracking via Improved Discriminative Model Prediction


Robust Loop Closure by Textual Cues in Challenging Environments


Robust Loss Functions for Training Decision Trees with Noisy Labels


Robust Low-Cost Drone Detection and Classification in Low SNR Environments


Robust Low-rank Tensor Decomposition with the $\operatorname{L_2}$ Criterion


Robust MITL planning under uncertain navigation times


Robust MPC for Linear Systems with Parametric and Additive Uncertainty: A Novel Constraint Tightening Approach


Robust MPC for Uncertain Linear Systems -- Combining Model Adaptation and Iterative Learning


Robust Market Making via Adversarial Reinforcement Learning


Robust Market Potential Assessment: Designing optimal policies for low-carbon technology adoption in an increasingly uncertain world


Robust Markov stability for community detection at a scale learned based on the structure


Robust Matrix Completion for Discrete Rating-Scale Data


Robust Meta-Representation Learning via Global Label Inference and Classification


Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile


Robust Metric Learning based on the Rescaled Hinge Loss


Robust Mid-Pass Filtering Graph Convolutional Networks


Robust Misinformation Detection by Visiting Potential Commonsense Conflict


Robust Mixture-of-Expert Training for Convolutional Neural Networks


Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified $\ell_p$ Attacks


Robust Model Checking with Imprecise Markov Reward Models


Robust Model Compression Using Deep Hypotheses


Robust Model Predictive Control Exploiting Monotonicity Properties


Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model


Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation


Robust Models Are More Interpretable Because Attributions Look Normal


Robust Molecular Property Prediction via Densifying Scarce Labeled Data


Robust Monte-Carlo Simulations in Diffusion-MRI: Effect of the substrate complexity and parameter choice on the reproducibility of results


Robust Motion Segmentation from Pairwise Matches


Robust Moving Target Defence Against False Data Injection Attacks in Power Grids


Robust Multi-Agent Reinforcement Learning with State Uncertainty


Robust Multi-Modal Forecasting: Integrating Static and Dynamic Features


Robust Multi-Modal Multi-LiDAR-Inertial Odometry and Mapping for Indoor Environments


Robust Multi-Modality Multi-Object Tracking


Robust Multi-Objective Bayesian Optimization Under Input Noise


Robust Multi-Objective Controlled Decoding of Large Language Models


Robust Multi-Task Learning with Excess Risks


Robust Multi-bit Natural Language Watermarking through Invariant Features


Robust Multi-bit Text Watermark with LLM-based Paraphrasers


Robust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features


Robust Multilingual Part-of-Speech Tagging via Adversarial Training


Robust Multimodal 3D Object Detection via Modality-Agnostic Decoding and Proximity-based Modality Ensemble


Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion


Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation


Robust Multimodal Segmentation with Representation Regularization and Hybrid Prototype Distillation


Robust Multiple Kernel k-means Clustering using Min-Max Optimization


Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attention


Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting


Robust Natural Language Understanding with Residual Attention Debiasing


Robust Navigation In GNSS Degraded Environment Using Graph Optimization


Robust Navigation with Cross-Modal Fusion and Knowledge Transfer


Robust Navigation with Language Pretraining and Stochastic Sampling


Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective


Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods


Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments


Robust Nonlinear Optimal Control via System Level Synthesis


Robust Novelty Detection through Style-Conscious Feature Ranking


Robust Object Detection With Inaccurate Bounding Boxes


Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version)


Robust Object Detection via Instance-Level Temporal Cycle Confusion


Robust Object Modeling for Visual Tracking


Robust Ocean Subgrid-Scale Parameterizations Using Fourier Neural Operators


Robust Offline Active Learning on Graphs


Robust Offline Reinforcement learning with Heavy-Tailed Rewards


Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning


Robust Onboard Localization in Changing Environments Exploiting Text Spotting


Robust One Round Federated Learning with Predictive Space Bayesian Inference


Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks


Robust One-Step Estimation of Impulsive Time Series


Robust One-shot Segmentation of Brain Tissues via Image-aligned Style Transformation


Robust One-step Speech Enhancement via Consistency Distillation


Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy


Robust Online Video Instance Segmentation with Track Queries


Robust Open-Vocabulary Translation from Visual Text Representations


Robust Optimal Control for Nonlinear Systems with Parametric Uncertainties via System Level Synthesis


Robust Optimal Planning and Control of Non-Periodic Bipedal Locomotion with A Centroidal Momentum Model


Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation


Robust Optimization and Inference on Manifolds


Robust Optimization for Fairness with Noisy Protected Groups


Robust Optimization of Rank-Dependent Models with Uncertain Probabilities


Robust Ordinal Embedding from Contaminated Relative Comparisons


Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models


Robust Out-of-distribution Detection for Neural Networks


Robust Outlier Detection Method Based on Local Entropy and Global Density


Robust Outlier Rejection for 3D Registration with Variational Bayes


Robust Output-Lifted Learning Model Predictive Control


Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM


Robust PCA via Nonconvex Rank Approximation


Robust Pairwise n-Person Stochastic Duel Game


Robust Parameter Estimation for Hybrid Dynamical Systems


Robust Parameter Estimation for Rational Ordinary Differential Equations


Robust Parameter Fitting to Realistic Network Models via Iterative Stochastic Approximation


Robust Parameter Identifiability Analysis via Column Subset Selection


Robust Parameter-Free Season Length Detection in Time Series


Robust Partial-to-Partial Point Cloud Registration in a Full Range


Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks


Robust Persistence Diagrams using Reproducing Kernels


Robust Place Categorization with Deep Domain Generalization


Robust Place Recognition using an Imaging Lidar


Robust Planning with Compound LLM Architectures: An LLM-Modulo Approach


Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes


Robust Point Cloud Processing through Positional Embedding


Robust Policy Gradient against Strong Data Corruption


Robust Policy Optimization in Deep Reinforcement Learning


Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction


Robust Pre-Training by Adversarial Contrastive Learning


Robust Predictions with Ambiguous Time Delays: A Bootstrap Strategy


Robust Predictive Motion Planning by Learning Obstacle Uncertainty


Robust Predictive Output-Feedback Safety Filter for Uncertain Nonlinear Control Systems


Robust Preference-Guided Denoising for Graph based Social Recommendation


Robust Principal Component Analysis for Modal Decomposition of Corrupt Fluid Flows


Robust Privacy Amidst Innovation with Large Language Models Through a Critical Assessment of the Risks


Robust Probabilistic Time Series Forecasting


Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks


Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs


Robust Q-Learning for finite ambiguity sets


Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach


Robust Quantitative Susceptibility Mapping via Approximate Message Passing with Parameter Estimation


Robust Quantization: One Model to Rule Them All


Robust Quantum Optimal Control with Trajectory Optimization


Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study


Robust RGB-D Fusion for Saliency Detection


Robust Re-Identification by Multiple Views Knowledge Distillation


Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning


Robust Real-World Image Super-Resolution against Adversarial Attacks


Robust Real-time LiDAR-inertial Initialization


Robust Real-time UAV Replanning Using Guided Gradient-based Optimization and Topological Paths


Robust Recommendation with Implicit Feedback via Eliminating the Effects of Unexpected Behaviors


Robust Recommender System: A Survey and Future Directions


Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification


Robust Region Feature Synthesizer for Zero-Shot Object Detection


Robust Registration of Calcium Images by Learned Contrast Synthesis


Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks


Robust Reinforcement Learning Objectives for Sequential Recommender Systems


Robust Reinforcement Learning Under Minimax Regret for Green Security


Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization


Robust Reinforcement Learning under model misspecification


Robust Reinforcement Learning using Adversarial Populations


Robust Reinforcement Learning using Offline Data


Robust Reinforcement Learning with Dynamic Distortion Risk Measures


Robust Representation Consistency Model via Contrastive Denoising


Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions


Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering


Robust Representation and Estimation of Barycenters and Modes of Probability Measures on Metric Spaces


Robust Representation via Dynamic Feature Aggregation


Robust Resource Sharing in Network Slicing via Hypothesis Testing


Robust Retrospective Frequency and Phase Correction for Single-voxel MR Spectroscopy


Robust Risk Minimization for Statistical Learning


Robust Risk-Aware Reinforcement Learning


Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models


Robust Robotic Pouring using Audition and Haptics


Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment


Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning


Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms


Robust Sclera Segmentation for Skin-tone Agnostic Face Image Quality Assessment


Robust Self-Ensembling Network for Hyperspectral Image Classification


Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels


Robust Self-Reconfiguration for Fault-Tolerant Control of Modular Aerial Robot Systems


Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling


Robust Semantic Communications with Masked VQ-VAE Enabled Codebook


Robust Semantic Interpretability: Revisiting Concept Activation Vectors


Robust Semi-Supervised Learning for Self-learning Open-World Classes


Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration


Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification


Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles


Robust Sequential Online Prediction with Dynamic Ensemble of Multiple Models: A Review


Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks


Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative Priors


Robust Single Rotation Averaging Revisited


Robust Smart Home Face Recognition under Starving Federated Data


Robust Solid Boundary Treatment for Compressible Smoothed Particle Hydrodynamics


Robust Source-Free Domain Adaptation for Fundus Image Segmentation


Robust Spammer Detection by Nash Reinforcement Learning


Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure


Robust Spatial Filtering with Graph Convolutional Neural Networks


Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection


Robust Spatiotemporal Fusion of Satellite Images: A Constrained Convex Optimization Approach


Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training


Robust Spectral Anomaly Detection in EELS Spectral Images via Three Dimensional Convolutional Variational Autoencoders


Robust Split Federated Learning for U-shaped Medical Image Networks


Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement


Robust Steganography from Large Language Models


Robust Structural Identification via Polyhedral Template Matching


Robust Structure Identification and Room Segmentation of Cluttered Indoor Environments from Occupancy Grid Maps


Robust Subspace Clustering via Smoothed Rank Approximation


Robust Subspace Clustering via Tighter Rank Approximation


Robust Subtask Learning for Compositional Generalization


Robust Synthetic-to-Real Transfer for Stereo Matching


Robust T-Loss for Medical Image Segmentation


Robust Target Training for Multi-Source Domain Adaptation


Robust Target-relative Localization with Ultra-Wideband Ranging and Communication


Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning


Robust Template Matching via Hierarchical Convolutional Features from a Shape Biased CNN


Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption


Robust Text Classification: Analyzing Prototype-Based Networks


Robust Textual Embedding against Word-level Adversarial Attacks


Robust Time-inconsistent Linear-Quadratic Stochastic Controls: A Stochastic Differential Game Approach


Robust Tiny Object Detection in Aerial Images amidst Label Noise


Robust Tracking via Mamba-based Context-aware Token Learning


Robust Tracking with Model Mismatch for Fast and Safe Planning: an SOS Optimization Approach


Robust Traffic Forecasting against Spatial Shift over Years


Robust Training for Speaker Verification against Noisy Labels


Robust Training of Graph Neural Networks via Noise Governance


Robust Training of Vector Quantized Bottleneck Models


Robust Trajectory Optimization over Uncertain Terrain with Stochastic Complementarity


Robust Transformer with Locality Inductive Bias and Feature Normalization


Robust Transiting Exoplanet Radii in the Presence of Starspots from Ingress and Egress Durations


Robust Trust Region for Weakly Supervised Segmentation


Robust Two-Layer Partition Clustering of Sparse Multivariate Functional Data


Robust Two-View Geometry Estimation with Implicit Differentiation


Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach


Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction


Robust Unlearnable Examples: Protecting Data Against Adversarial Learning


Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement Learning


Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors


Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment


Robust Upper Bounds for Adversarial Training


Robust Utility Optimization via a GAN Approach


Robust Utility-Preserving Text Anonymization Based on Large Language Models


Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression


Robust Variable Selection under Cellwise Contamination


Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data


Robust Vehicle Localization and Tracking in Rain using Street Maps


Robust Vertex Enumeration for Convex Hulls in High Dimensions


Robust Video-Based Eye Tracking Using Recursive Estimation of Pupil Characteristics


Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP


Robust Visual Teach and Repeat for UGVs Using 3D Semantic Maps


Robust Visual Tracking via Hierarchical Convolutional Features


Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection


Robust Waveform Design for Integrated Sensing and Communication


Robust Weight Perturbation for Adversarial Training


Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?


Robust White Matter Hyperintensity Segmentation on Unseen Domain


Robust Yet Efficient Conformal Prediction Sets


Robust Zero Level-Set Extraction from Unsigned Distance Fields Based on Double Covering


Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning


Robust adaptive Lasso in high-dimensional logistic regression


Robust and Accurate -- Compositional Architectures for Randomized Smoothing


Robust and Accurate Cylinder Triangulation


Robust and Accurate Object Detection via Self-Knowledge Distillation


Robust and Accurate Superquadric Recovery: a Probabilistic Approach


Robust and Adaptive Door Operation with a Mobile Robot


Robust and Adaptive Functional Logistic Regression


Robust and Agnostic Learning of Conditional Distributional Treatment Effects


Robust and Communication-Efficient Federated Domain Adaptation via Random Features


Robust and Conjugate Gaussian Process Regression


Robust and Conjugate Spatio-Temporal Gaussian Processes


Robust and Decomposable Average Precision for Image Retrieval


Robust and Differentially Private Mean Estimation


Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation


Robust and Efficient Hamiltonian Learning


Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision


Robust and Efficient Optimization Using a Marquardt-Levenberg Algorithm with R Package marqLevAlg


Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments


Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications


Robust and Fast Measure of Information via Low-rank Representation


Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach


Robust and Large-Payload DNN Watermarking via Fixed, Distribution-Optimized, Weights


Robust and Low-Rank Representation for Fast Face Identification with Occlusions


Robust and Minimally Invasive Watermarking for EaaS


Robust and Modular Multi-Limb Synchronization in Motion Stack for Space Robots with Trajectory Clamping via Hypersphere


Robust and Practical Solution of Laplacian Equations by Approximate Elimination


Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay


Robust and Scalable Bayesian Online Changepoint Detection


Robust and Scalable Differentiable Neural Computer for Question Answering


Robust and Scalable Model Editing for Large Language Models


Robust and Subject-Independent Driving Manoeuvre Anticipation through Domain-Adversarial Recurrent Neural Networks


Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speech


Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks


Robust and accurate fine-grain power models for embedded systems with no on-chip PMU


Robust and bias-free localization of individual fixed dipole emitters achieving the Cramér Rao bound


Robust and efficient estimation of nonparametric generalized linear models


Robust and efficient multi-way spectral clustering


Robust and efficient pre-processing techniques for particle-based methods including dynamic boundary generation


Robust and efficient primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models


Robust and highly performant ring detection algorithm for 3d particle tracking using 2d microscope imaging


Robust beta regression through the logit transformation


Robust binary classification with the 01 loss


Robust channel-wise illumination estimation


Robust classification with flexible discriminant analysis in heterogeneous data


Robust convex biclustering with a tuning-free method


Robust covariance estimation with missing values and cell-wise contamination


Robust deformable image registration using cycle-consistent implicit representations


Robust detection and attribution of climate change under interventions


Robust discrete choice models with t-distributed kernel errors


Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion


Robust error bounds for quantised and pruned neural networks


Robust error estimates of PINN in one-dimensional boundary value problems for linear elliptic equations


Robust estimation for semi-functional linear regression models


Robust estimation in beta regression via maximum Lq-likelihood


Robust estimation of SARS-CoV-2 epidemic in US counties


Robust estimation of boundary using doubly stochastic scaling of Gaussian kernel


Robust estimation of carbon dioxide airborne fraction under measurement errors


Robust estimations from distribution structures: I. Mean


Robust estimations from distribution structures: II. Central Moments


Robust estimations from distribution structures: III. Invariant Moments


Robust exploration in linear quadratic reinforcement learning


Robust financial calibration: a Bayesian approach for neural SDEs


Robust flight schedules with stochastic programming


Robust function-on-function interaction regression


Robust high-contrast companion detection from interferometric observations. The CANDID algorithm and an application to six binary Cepheids


Robust identifiability for symbolic recovery of differential equations


Robust inference of causality in high-dimensional dynamical processes from the Information Imbalance of distance ranks


Robust inference of neutron-star parameters from thermonuclear burst observations


Robust information divergences for model-form uncertainty arising from sparse data in random PDE


Robust integration of external control data in randomized trials


Robust learning from corrupted EEG with dynamic spatial filtering


Robust learning with anytime-guaranteed feedback


Robust learning with implicit residual networks


Robust leave-one-out cross-validation for high-dimensional Bayesian models


Robust localization for planar moving robot in changing environment: A perspective on density of correspondence and depth


Robust minimum divergence estimation in a spatial Poisson point process


Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers


Robust multi-coil MRI reconstruction via self-supervised denoising


Robust multiscale estimation of time-average variance for time series segmentation


Robust neuromorphic coupled oscillators for adaptive pacemakers


Robust numerical computation of the 3D scalar potential field of the cubic Galileon gravity model at solar system scales


Robust one-shot estimation over shared networks in the presence of denial-of-service attacks


Robust online estimation of biophysical neural circuits


Robust optimal well control using an adaptive multi-grid reinforcement learning framework


Robust parameter estimation within minutes on gravitational wave signals from binary neutron star inspirals


Robust penalized estimators for functional linear regression


Robust physics discovery via supervised and unsupervised pattern recognition using the Euler characteristic


Robust posterior inference when statistically emulating forward simulations


Robust pricing and hedging via neural SDEs


Robust priors for regularized regression


Robust probabilistic inference via a constrained transport metric


Robust profile decomposition for large extragalactic spectral-line surveys


Robust quantum dots charge autotuning using neural network uncertainty


Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning


Robust remote estimation over the collision channel in the presence of an intelligent jammer


Robust semi-parametric signal detection in particle physics with classifiers decorrelated via optimal transport


Robust simultaneous UWB-anchor calibration and robot localization for emergency situations


Robust single-shot 3D fluorescence imaging in scattering media with a simulator-trained neural network


Robust sound event detection in bioacoustic sensor networks


Robust statistics and no-reference image quality assessment in Curvelet domain


Robust super-resolution depth imaging via a multi-feature fusion deep network


Robust supervised learning with coordinate gradient descent


Robust time-discretisation and linearisation schemes for singular and degenerate evolution systems modelling biofilm growth


Robust variable selection in the framework of classification with label noise and outliers: applications to spectroscopic data in agri-food


Robust variance-regularized risk minimization with concomitant scaling


Robust vertebra identification using simultaneous node and edge predicting Graph Neural Networks


Robust width: A lightweight and certifiable adversarial defense


Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands


Robust, Rapid, and Simple Gravitational-wave Parameter Estimation


Robust-GBDT: GBDT with Nonconvex Loss for Tabular Classification in the Presence of Label Noise and Class Imbalance


Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models


Robust-MSA: Understanding the Impact of Modality Noise on Multimodal Sentiment Analysis


Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems


Robust-Wide: Robust Watermarking against Instruction-driven Image Editing


Robust-and-Cheap Framework for Network Resilience: A Novel Mixed-Integer Formulation and Solution Method


RobustBF: A High Accuracy and Memory Efficient 2D Bloom Filter


RobustECD: Enhancement of Network Structure for Robust Community Detection


RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation


RobustFair: Adversarial Evaluation through Fairness Confusion Directed Gradient Search


RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation


RobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning


RobustMVS: Single Domain Generalized Deep Multi-view Stereo


RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments


RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening


RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers


RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning


RobustSleepNet: Transfer learning for automated sleep staging at scale


RobustX: Robust Counterfactual Explanations Made Easy


Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning


Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining


Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models


Robustifying Conditional Portfolio Decisions via Optimal Transport


Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse Regularization


Robustifying Long-term Human-Robot Collaboration through a Multimodal and Hierarchical Framework


Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals


Robustifying Token Attention for Vision Transformers


Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment


Robustifying and Boosting Training-Free Neural Architecture Search


Robustifying likelihoods by optimistically re-weighting data


Robustly Improving LLM Fairness in Realistic Settings via Interpretability


Robustly encoding certainty in a metastable neural circuit model


Robustness Against Weak or Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning


Robustness Analysis of Deep Learning Frameworks on Mobile Platforms


Robustness Analysis of Pedestrian Detectors for Surveillance


Robustness Analysis of Video-Language Models Against Visual and Language Perturbations


Robustness Auditing for Linear Regression: To Singularity and Beyond


Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation


Robustness Certification for Point Cloud Models


Robustness Certification of Visual Perception Models via Camera Motion Smoothing


Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS)


Robustness Evaluation in Hand Pose Estimation Models using Metamorphic Testing


Robustness Evaluation of Localization Techniques for Autonomous Racing


Robustness Guarantees for Bayesian Inference with Gaussian Processes


Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits


Robustness Gym: Unifying the NLP Evaluation Landscape


Robustness Stress Testing in Medical Image Classification


Robustness Testing of Language Understanding in Task-Oriented Dialog


Robustness Tests for Automatic Machine Translation Metrics with Adversarial Attacks


Robustness Tokens: Towards Adversarial Robustness of Transformers


Robustness Verification of Deep Neural Networks using Star-Based Reachability Analysis with Variable-Length Time Series Input


Robustness Verification of Tree-based Models


Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity


Robustness against outliers in ordinal response model via divergence approach


Robustness analysis in an inter-cities mobility network: modeling municipal, state and federal initiatives as failures and attacks


Robustness analytics to data heterogeneity in edge computing


Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness


Robustness and Diversity Seeking Data-Free Knowledge Distillation


Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview


Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models


Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization


Robustness and Overfitting Behavior of Implicit Background Models


Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs


Robustness in Fairness against Edge-level Perturbations in GNN-based Recommendation


Robustness modularity in complex networks


Robustness of 3D Deep Learning in an Adversarial Setting


Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks


Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels


Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice


Robustness of Bayesian ordinal response model against outliers via divergence approach


Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data


Robustness of Demonstration-based Learning Under Limited Data Scenario


Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks


Robustness of Graph Neural Networks at Scale


Robustness of Learning from Task Instructions


Robustness of LiDAR-Based Pose Estimation: Evaluating and Improving Odometry and Localization Under Common Point Cloud Corruptions


Robustness of Meta Matrix Factorization Against Strict Privacy Constraints


Robustness of Misinformation Classification Systems to Adversarial Examples Through BeamAttack


Robustness of Online Identification-based Policy Iteration to Noisy Data


Robustness of Practical Perceptual Hashing Algorithms to Hash-Evasion and Hash-Inversion Attacks


Robustness of Unsupervised Representation Learning without Labels


Robustness of Visual Explanations to Common Data Augmentation


Robustness of community structure under edge addition


Robustness of data-driven approaches in limited angle tomography


Robustness of graph embedding methods for community detection


Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps


Robustness of optimal quantum annealing protocols


Robustness of quantum algorithms against coherent control errors


Robustness of steady state and stochastic cyclicity in generalized coalescence-fragmentation models


Robustness of the Galactic Center Excess Morphology Against Masking


Robustness tests for biomedical foundation models should tailor to specification


Robustness through Cognitive Dissociation Mitigation in Contrastive Adversarial Training


Robustness to Augmentations as a Generalization metric


Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks


Robustness to Programmable String Transformations via Augmented Abstract Training


Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals


Robustness to Spurious Correlations via Human Annotations


Robustness to corruption in pre-trained Bayesian neural networks


Robustness via Uncertainty-aware Cycle Consistency


Robustness, Privacy, and Generalization of Adversarial Training


Robustness-aware Automatic Prompt Optimization


Robustness-enhanced Myoelectric Control with GAN-based Open-set Recognition


Rock Guitar Tablature Generation via Natural Language Processing


Rock anisotropy promotes hydraulic fracture containment at depth


RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models


RocketEval: Efficient Automated LLM Evaluation via Grading Checklist


Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch


Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions


Rods coiling about a rigid constraint: Helices and perversions


Role Similarity Metric Based on Spanning Rooted Forest


Role action embeddings: scalable representation of network positions


Role of Attentive History Selection in Conversational Information Seeking


Role of Human-AI Interaction in Selective Prediction


Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages


Role of Oxygen States in the Low Valence Nickelate La$_4$Ni$_3$O$_8$


Role of Sensing and Computer Vision in 6G Wireless Communications


Role of Spatial Context in Adversarial Robustness for Object Detection


Role of Temporal Diversity in Inferring Social Ties Based on Spatio-Temporal Data


Role of single particle motility statistics on efficiency of targeted delivery of micro-robot swarms


Role of vector self-interaction in Neutron Star properties


Role-Aware Modeling for N-ary Relational Knowledge Bases


Role-Playing Evaluation for Large Language Models


Role-Wise Data Augmentation for Knowledge Distillation


RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models


RoleEval: A Bilingual Role Evaluation Benchmark for Large Language Models


RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models


RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following


Roles of Scaling and Instruction Tuning in Language Perception: Model vs. Human Attention


Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning


Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction


Rolling Horizon based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows


Rolling Lookahead Learning for Optimal Classification Trees


Rolling Shutter Camera Synchronization with Sub-millisecond Accuracy


Rolling Shutter Correction with Intermediate Distortion Flow Estimation


Rolling Shutter Inversion: Bring Rolling Shutter Images to High Framerate Global Shutter Video


Rolling horizon policies for multi-stage stochastic assemble-to-order problems


RollupTheCrowd: Leveraging ZkRollups for a Scalable and Privacy-Preserving Reputation-based Crowdsourcing Platform


Roman Numeral Analysis with Graph Neural Networks: Onset-wise Predictions from Note-wise Features


Romanian Speech Recognition Experiments from the ROBIN Project


Romanized to Native Malayalam Script Transliteration Using an Encoder-Decoder Framework


Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design


Rome was built in 1776: A Case Study on Factual Correctness in Knowledge-Grounded Response Generation


RomeBERT: Robust Training of Multi-Exit BERT


RomniStereo: Recurrent Omnidirectional Stereo Matching


Roof fall hazard detection with convolutional neural networks using transfer learning


Roof material classification from aerial imagery


Roof-GAN: Learning to Generate Roof Geometry and Relations for Residential Houses


Room Acoustic Rendering Networks with Control of Scattering and Early Reflections


Room Classification on Floor Plan Graphs using Graph Neural Networks


Room Impulse Response Estimation through Optimal Mass Transport Barycenters


Room Impulse Response as a Prompt for Acoustic Echo Cancellation


Room Transfer Function Reconstruction Using Complex-valued Neural Networks and Irregularly Distributed Microphones


Room impulse response reconstruction with physics-informed deep learning


RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation


Root Cause Analysis In Microservice Using Neural Granger Causal Discovery


Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops


Root Extraction in Finite Abelian Groups


Root Tracking for Rate-Distortion: Approximating a Solution Curve with Higher Implicit Multivariate Derivatives


Root and community inference on the latent growth process of a network


Root cause discovery via permutations and Cholesky decomposition


Root-KGD: A Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial Data


Root-aligned SMILES: A Tight Representation for Chemical Reaction Prediction


Root-finding Approaches for Computing Conformal Prediction Set


RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy


RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning


RoseNNa: A performant, portable library for neural network inference with application to computational fluid dynamics


Rosetta: a container-centric science platform for resource-intensive, interactive data analysis


Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code


Rosita: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers


Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication Kernels


RotCAtt-TransUNet++: Novel Deep Neural Network for Sophisticated Cardiac Segmentation


Rotary Position Embedding for Vision Transformer


Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting


Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images


Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation


Rotating labeling of entropy coders for synthetic DNA data storage


Rotation Adaptive Visual Object Tracking with Motion Consistency


Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs


Rotation Equivariance and Invariance in Convolutional Neural Networks


Rotation Equivariant Deforestation Segmentation and Driver Classification


Rotation Equivariant Operators for Machine Learning on Scalar and Vector Fields


Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration


Rotation Invariant Convolutions for 3D Point Clouds Deep Learning


Rotation Invariant Householder Parameterization for Bayesian PCA


Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology


Rotation Invariant Quantization for Model Compression


Rotation Synchronization via Deep Matrix Factorization


Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation


Rotation and Translation Invariant Representation Learning with Implicit Neural Representations


Rotation curve decompositions with Gaussian Processes: taking into account data correlations leads to unbiased results


Rotation method for accelerating multiple-spherical Bessel function integrals against a numerical source function


Rotation to Sparse Loadings using $L^p$ Losses and Related Inference Problems


Rotation, Translation, and Cropping for Zero-Shot Generalization


Rotation-Equivariant Deep Learning for Diffusion MRI


Rotation-Equivariant Self-Supervised Method in Image Denoising


Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks


Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds


Rotation-Scale Equivariant Steerable Filters


RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints


Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction


Rotational Evolution of Classical T Tauri Stars: Models and Observations


Rotational Variation Allows for Narrow Age Spread in the Extended Main Sequence Turnoff of Massive Cluster NGC 1846


RotorPy: A Python-based Multirotor Simulator with Aerodynamics for Education and Research


RotorTM: A Flexible Simulator for Aerial Transportation and Manipulation


Rough Heston model as the scaling limit of bivariate cumulative heavy-tailed INAR($\infty$) processes and applications


Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching


Rough-Fuzzy CPD: A Gradual Change Point Detection Algorithm


Roughly Collected Dataset for Contact Force Sensing Catheter


Roughness Index for Loss Landscapes of Neural Network Models of Partial Differential Equations


Round Trip Translation Defence against Large Language Model Jailbreaking Attacks


RoundTable: Leveraging Dynamic Schema and Contextual Autocomplete for Enhanced Query Precision in Tabular Question Answering


RoundTripOCR: A Data Generation Technique for Enhancing Post-OCR Error Correction in Low-Resource Devanagari Languages


Rounding error using low precision approximate random variables


Route Sparse Autoencoder to Interpret Large Language Models


Route to Reason: Adaptive Routing for LLM and Reasoning Strategy Selection


Route-and-Aggregate Decentralized Federated Learning Under Communication Errors


RouteExplainer: An Explanation Framework for Vehicle Routing Problem


RouteFinder: Towards Foundation Models for Vehicle Routing Problems


RouteFlow: Trajectory-Aware Animated Transitions


RouteNet-Fermi: Network Modeling With GNN (Analysis And Re-implementation)


RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN


RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network


RouteRL: Multi-agent reinforcement learning framework for urban route choice with autonomous vehicles


RoutedFusion: Learning Real-time Depth Map Fusion


Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning


Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers


RouterBench: A Benchmark for Multi-LLM Routing System


RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models


RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs


RouterRetriever: Routing over a Mixture of Expert Embedding Models


RouthSearch: Inferring PID Parameter Specification for Flight Control Program by Coordinate Search


Routing One Million Customers in a Handful of Minutes


Routing on Sparse Graphs with Non-metric Costs for the Prize-collecting Travelling Salesperson Problem


Routing-Aware Placement for Zoned Neutral Atom-based Quantum Computing


Routoo: Learning to Route to Large Language Models Effectively


Rovibrational Spectroscopy of Diatomic Molecules in a Modified Morse Potential using Nikiforov-Uvarov Functional Analysis


Row-clustering of a Point Process-valued Matrix


RowPress: Amplifying Read Disturbance in Modern DRAM Chips


Roweis Discriminant Analysis: A Generalized Subspace Learning Method


Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition


RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER


RtFPS: An Interactive Map that Visualizes and Predicts Wildfires in the US


RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs


RuBQ: A Russian Dataset for Question Answering over Wikidata


RuCCoD: Towards Automated ICD Coding in Russian


RuCoCo: a new Russian corpus with coreference annotation


RuDSI: graph-based word sense induction dataset for Russian


RuDaS: Synthetic Datasets for Rule Learning and Evaluation Tools


RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation


RuLa: A Programming Language for RuleSet-based Quantum Repeaters


RuMedBench: A Russian Medical Language Understanding Benchmark


RuNNE-2022 Shared Task: Recognizing Nested Named Entities


RuOpinionNE-2024: Extraction of Opinion Tuples from Russian News Texts


RuSentEval: Linguistic Source, Encoder Force!


RubCSG at SemEval-2022 Task 5: Ensemble learning for identifying misogynous MEMEs


Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment


Rudder: A Cross Lingual Video and Text Retrieval Dataset


Ruddit: Norms of Offensiveness for English Reddit Comments


RulE: Knowledge Graph Reasoning with Rule Embedding


Rule Applicability on RDF Triplestore Schemas


Rule Augmented Unsupervised Constituency Parsing


Rule Based Rewards for Language Model Safety


Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection


Rule Covering for Interpretation and Boosting


Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM


Rule Generation for Classification: Scalability, Interpretability, and Fairness


Rule Induction in Knowledge Graphs Using Linear Programming


Rule Learning as Machine Translation using the Atomic Knowledge Bank


Rule induction for global explanation of trained models


Rule switching mechanisms in the Game of Life with synchronous and asynchronous updating policy


Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification


Rule-Based Lloyd Algorithm for Multi-Robot Motion Planning and Control with Safety and Convergence Guarantees


Rule-Based Safety-Critical Control Design using Control Barrier Functions with Application to Autonomous Lane Change


Rule-Guided Graph Neural Networks for Recommender Systems


Rule-Mining based classification: a benchmark study


Rule-based Evolving Fuzzy System for Time Series Forecasting: New Perspectives Based on Type-2 Fuzzy Sets Measures Approach


Rule-based Morphological Inflection Improves Neural Terminology Translation


Rule-based Shielding for Partially Observable Monte-Carlo Planning


Rule-based outlier detection of AI-generated anatomy segmentations


Rule-embedded network for audio-visual voice activity detection in live musical video streams


RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios


RuleBert: Teaching Soft Rules to Pre-trained Language Models


RulePad: Interactive Authoring of Checkable Design Rules


RulePrompt: Weakly Supervised Text Classification with Prompting PLMs and Self-Iterative Logical Rules


RuleRAG: Rule-guided retrieval-augmented generation with language models for question answering


RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling


RuleVis: Constructing Patterns and Rules for Rule-Based Models


Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models


Rules still work for Open Information Extraction


Rumble: Data Independence for Large Messy Data Sets


RumbleML: program the lakehouse with JSONiq


Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks


Rumor Detection with Diverse Counterfactual Evidence


Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning


RumorLens: Interactive Analysis and Validation of Suspected Rumors on Social Media


Rumour Evaluation with Very Large Language Models


Run Your Visual-Inertial Odometry on NVIDIA Jetson: Benchmark Tests on a Micro Aerial Vehicle


Run, skeleton, run: skeletal model in a physics-based simulation


Run-Length-Limited ISI-Mitigation (RLIM) Coding for Molecular Communication


Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis


Runaway Coalescence of Pre-Common-Envelope Stellar Binaries


Runaway Feedback Loops in Predictive Policing


Runaway and Hypervelocity Stars from Compact Object Encounters in Globular Clusters


Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments


Runge--Kutta generalized Convolution Quadrature for sectorial problems


Runko: Modern multiphysics toolbox for plasma simulations


Runner re-identification from single-view running video in the open-world setting


Running HMC Simulation with Python via QUDA


Running beyond ALPs: shift-breaking and CP-violating effects


Running gravitational constant induced dark energy as a solution to $σ_8$ tension


Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces


Runtime Complexity Analysis of Logically Constrained Rewriting


Runtime Detection of Executional Errors in Robot-Assisted Surgery


Runtime Monitoring for Markov Decision Processes


Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems


Runtime Verification and Field-based Testing for ROS-based Robotic Systems


Runtime Verification of Self-Adaptive Systems with Changing Requirements


Runtime vs Scheduler: Analyzing Dask's Overheads


Runtime-Adaptable Selective Performance Instrumentation


RuozhiBench: Evaluating LLMs with Logical Fallacies and Misleading Premises


RusCode: Russian Cultural Code Benchmark for Text-to-Image Generation


RusTitW: Russian Language Text Dataset for Visual Text in-the-Wild Recognition


Russian Financial Statements Database: A firm-level collection of the universe of financial statements


Russian Language Datasets in the Digitial Humanities Domain and Their Evaluation with Word Embeddings


Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural Architectures


Russian News Clustering and Headline Selection Shared Task


Russian Texts Detoxification with Levenshtein Editing


Russian propaganda on social media during the 2022 invasion of Ukraine


Russian word sense induction by clustering averaged word embeddings


Russian-Language Multimodal Dataset for Automatic Summarization of Scientific Papers


RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark


Russo-Ukrainian War: Prediction and explanation of Twitter suspension


Rust Barefoot Runtime (RBFRT): Fast Runtime Control for the Intel Tofino


Rust vs. C for Python Libraries: Evaluating Rust-Compatible Bindings Toolchains


RustEvo^2: An Evolving Benchmark for API Evolution in LLM-based Rust Code Generation


RustMap: Towards Project-Scale C-to-Rust Migration via Program Analysis and LLM


RustSAT: A Library For SAT Solving in Rust


RustViz: Interactively Visualizing Ownership and Borrowing


Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing


RvS: What is Essential for Offline RL via Supervised Learning?


RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing


RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesis


Rényi free energy and variational approximations to thermal states


Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study


S 308 and other X-ray emitting bubbles around Wolf-Rayet stars


S$^*$: A Heuristic Information-Based Approximation Framework for Multi-Goal Path Finding


S$^2$-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation


S$^2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic


S$^2$DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion


S$^2$GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis


S$^2$ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation


S$^2$Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification


S$^2$R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning


S$^3$Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching


S$^3$HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering


S$Ω$I: Score-based O-INFORMATION Estimation


S&P 500 Stock Price Prediction Using Technical, Fundamental and Text Data


S+t-SNE -- Bringing Dimensionality Reduction to Data Streams


S-ACF: A selective estimator for the autocorrelation function of irregularly sampled time series


S-Agents: Self-organizing Agents in Open-ended Environments


S-BORM: Reliability-based optimization of general systems using buffered optimization and reliability method


S-CFE: Simple Counterfactual Explanations


S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions


S-CycleGAN: Semantic Segmentation Enhanced CT-Ultrasound Image-to-Image Translation for Robotic Ultrasonography


S-DABT: Schedule and Dependency-Aware Bug Triage in Open-Source Bug Tracking Systems


S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models


S-Extension Patch: A simple and efficient way to extend an object detection model


S-Graphs+: Real-time Localization and Mapping leveraging Hierarchical Representations


S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field


S-KEY: Self-supervised Learning of Major and Minor Keys from Audio


S-LIME: Stabilized-LIME for Model Explanation


S-Mixup: Structural Mixup for Graph Neural Networks


S-PLUS DR1 galaxy clusters and groups catalogue using PzWav


S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning


S-R2F2U-Net: A single-stage model for teeth segmentation


S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous Driving


S-RASTER: Contraction Clustering for Evolving Data Streams


S-Rocket: Selective Random Convolution Kernels for Time Series Classification


S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation


S-SIRUS: an explainability algorithm for spatial regression Random Forest


S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images


S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks


S-Walk: Accurate and Scalable Session-based Recommendationwith Random Walks


S-multi-SNE: Semi-Supervised Classification and Visualisation of Multi-View Data


S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models


S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis


S2-cGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images


S2AMP: A High-Coverage Dataset of Scholarly Mentorship Inferred from Publications


S2AND: A Benchmark and Evaluation System for Author Name Disambiguation


S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation


S2FGL: Spatial Spectral Federated Graph Learning


S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context


S2Looking: A Satellite Side-Looking Dataset for Building Change Detection


S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning


S2R-Bench: A Sim-to-Real Evaluation Benchmark for Autonomous Driving


S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution


S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging


S2SBench: A Benchmark for Quantifying Intelligence Degradation in Speech-to-Speech Large Language Models


S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning


S2SNet: A Pretrained Neural Network for Superconductivity Discovery