All Papers

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

Ziyang Yu, Wenbing Huang, Yang Liu

RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content

Zhuowen Yuan, Zidi Xiong, Yi Zeng et al.

RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation

Zeyuan Yang, LIU JIAGENG, Peihao Chen et al.

RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences

Jie Cheng, Gang Xiong, Xingyuan Dai et al.

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

Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie et al.

RingAttention with Blockwise Transformers for Near-Infinite Context

Hao Liu, Matei Zaharia, Pieter Abbeel

RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields

Doriand Petit, Steve Bourgeois, Dumitru Pavel et al.

Risk Aware Benchmarking of Large Language Models

Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti et al.

Risk-Aware Self-Consistent Imitation Learning for Trajectory Planning in Autonomous Driving

Yixuan Fan, Ya-Li Li, Shengjin Wang

Risk Bounds of Accelerated SGD for Overparameterized Linear Regression

Xuheng Li, Yihe Deng, Jingfeng Wu et al.

Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures

Gwangpyo Yoo, Jinwoo Park, Honguk Woo

Risk Estimation in a Markov Cost Process: Lower and Upper Bounds

Gugan Chandrashekhar Mallika Thoppe, Prashanth L.A., Sanjay Bhat

Risk-Sensitive Policy Optimization via Predictive CVaR Policy Gradient

Ju-Hyun Kim, Seungki Min

Risk-Sensitive Reward-Free Reinforcement Learning with CVaR

Xinyi Ni, Guanlin Liu, Lifeng Lai

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

Zhiyuan Zhang, Licheng Yang, Zhiyu Xiang

RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Harrison Lee, Samrat Phatale, Hassan Mansoor et al.

RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment

Kevin Yang, Dan Klein, Asli Celikyilmaz et al.

RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning

Boning Li, Zhixuan Fang, Longbo Huang

RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving

Daniel Coelho, Miguel Oliveira, Vitor Santos

RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback

Tianyu Yu, Yuan Yao, Haoye Zhang et al.

RLIF: Interactive Imitation Learning as Reinforcement Learning

Jianlan Luo, Perry Dong, Yuexiang Zhai et al.

RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing

RLVF: Learning from Verbal Feedback without Overgeneralization

Moritz Stephan, Alexander Khazatsky, Eric Mitchell et al.

RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback

Yufei Wang, Zhanyi Sun, Jesse Zhang et al.

R-MAE: Regions Meet Masked Autoencoders

Duy-Kien Nguyen, Yanghao Li, Vaibhav Aggarwal et al.

RMem: Restricted Memory Banks Improve Video Object Segmentation

Junbao Zhou, Ziqi Pang, Yu-Xiong Wang

RMIB: Representation Matching Information Bottleneck for Matching Text Representations

Haihui Pan, zhifang Liao, Wenrui Xie et al.

RMT: Retentive Networks Meet Vision Transformers

Qihang Fan, Huaibo Huang, Mingrui Chen et al.

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

Divya Nori, Wengong Jin

RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction

Baptiste Brument, Robin Bruneau, Yvain Queau et al.

RoadPainter: Points Are Ideal Navigators for Topology transformER

Zhongxing Ma, Liang Shuang, Yongkun Wen et al.

Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation

Yuanchen Ju, Kaizhe Hu, Guowei Zhang et al.

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis

Yao Mu, Junting Chen, Qing-Long Zhang et al.

RoboDreamer: Learning Compositional World Models for Robot Imagination

Siyuan Zhou, Yilun Du, Jiaben Chen et al.

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Yufei Wang, Zhou Xian, Feng Chen et al.

RoboMP$^2$: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models

Qi Lv, Hao Li, Xiang Deng et al.

Robot Fleet Learning via Policy Merging

Lirui Wang, Kaiqing Zhang, Allan Zhou et al.

Robust 3D Tracking with Quality-Aware Shape Completion

Jingwen Zhang, Zikun Zhou, Guangming Lu et al.

Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula

Aryaman Reddi, Maximilian Tölle, Jan Peters et al.

Robust agents learn causal world models

Jonathan Richens, Tom Everitt

Robust and Conjugate Gaussian Process Regression

Matias Altamirano, Francois-Xavier Briol, Jeremias Knoblauch

Robust Angular Synchronization via Directed Graph Neural Networks

Yixuan He, Gesine Reinert, David Wipf et al.

Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective

Xingdi Chen, Yu Xiong, Kai YANG

Robust Blind Text Image Deblurring via Maximum Consensus Framework

Zijian Min, Gundu Hassan, GeunSik Jo

Robust Calibration of Large Vision-Language Adapters

Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed et al.

Robust Classification via a Single Diffusion Model

Huanran Chen, Yinpeng Dong, Zhengyi Wang et al.

Robust Classification via Regression for Learning with Noisy Labels

Erik Englesson, Hossein Azizpour

Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

Christian Schlarmann, Naman Singh, Francesco Croce et al.

Robust Communicative Multi-Agent Reinforcement Learning with Active Defense

Lebin Yu, Yunbo Qiu, Quanming Yao et al.

Robust Data-driven Prescriptiveness Optimization

Mehran Poursoltani, Erick Delage, Angelos Georghiou