Papers
RGMIL: Guide Your Multiple-Instance Learning Model with Regressor
Zhaolong Du, Shasha Mao, Yimeng Zhang et al.
RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy
Hongting Ye, Yalu Zheng, Yueying Li et al.
Riemannian Laplace approximations for Bayesian neural networks
Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg et al.
Riemannian Projection-free Online Learning
Zihao Hu, Guanghui Wang, Jacob D. Abernethy
Riemannian Residual Neural Networks
Isay Katsman, Eric Chen, Sidhanth Holalkere et al.
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds
Jihun Yun, Eunho Yang
Riemannian stochastic optimization methods avoid strict saddle points
Ya-Ping Hsieh, Mohammad Reza Karimi Jaghargh, Andreas Krause et al.
Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems
Anh Viet Do, Aneta Neumann, Frank Neumann et al.
RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments
Mengxue Qu, Yu Wu, Wu Liu et al.
Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure
Yuchao Qin, Mihaela van der Schaar, Changhee Lee
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning
James Queeney, Mouhacine Benosman
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
Siqi Shen, Chennan Ma, Chao Li et al.
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing
Antoine Scardigli, Lukas Cavigelli, Lorenz K. Müller
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization
Zhecheng Yuan, Sizhe Yang, Pu Hua et al.
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
Sumedh Sontakke, Jesse Zhang, Séb Arnold et al.
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
Lingdong Kong, Shaoyuan Xie, Hanjiang Hu et al.
RoboHive: A Unified Framework for Robot Learning
Vikash Kumar, Rutav Shah, Gaoyue Zhou et al.
Robust and Actively Secure Serverless Collaborative Learning
Nicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo et al.
Robust Bayesian Satisficing
Artun Saday, Y. Cahit Yıldırım, Cem Tekin
Robust Concept Erasure via Kernelized Rate-Distortion Maximization
Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey et al.
Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks
Wenhan Yang, Jingdong Gao, Baharan Mirzasoleiman
Robust covariance estimation with missing values and cell-wise contamination
Grégoire Pacreau, Karim Lounici
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
Dongmin Park, Seola Choi, Doyoung Kim et al.
Robust Data Valuation with Weighted Banzhaf Values
Weida Li, Yaoliang Yu
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
Youssef Allouah, Rachid Guerraoui, Nirupam Gupta et al.