Papers
11,955 papers found
Revisiting Data Augmentation in Deep Reinforcement Learning
Jianshu Hu, Yunpeng Jiang, Paul Weng
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
Manh Luong, Khai Nguyen, Nhat Ho et al.
Revisiting Link Prediction: a data perspective
Haitao Mao, Juanhui Li, Harry Shomer et al.
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
Guozheng Ma, Lu Li, Sen Zhang et al.
Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods
Zijian Liu, Zhengyuan Zhou
Revisit Self-supervision with Local Structure-from-Motion
Shengjie Zhu, Xiaoming Liu
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
Fan-Ming Luo, Tian Xu, Xingchen Cao et al.
Reward Design for Justifiable Sequential Decision-Making
Aleksa Sukovic, Goran Radanovic
Reward-Free Curricula for Training Robust World Models
Marc Rigter, Minqi Jiang, Ingmar Posner
Reward Model Ensembles Help Mitigate Overoptimization
Thomas Coste, Usman Anwar, Robert Kirk et al.
RFID+: Spatially Controllable Identification of UHF RFIDs via Controlled Magnetic Fields
Donghui Dai, Zhenlin An, Zheng Gong et al.
Rich speech signal: exploring and exploiting end-to-end automatic speech recognizers’ ability to model hesitation phenomena
Vincenzo Norman Vitale, Loredana Schettino, Francesco Cutugno
Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
Ziyang Yu, Wenbing Huang, Yang Liu
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
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression
Xuheng Li, Yihe Deng, Jingfeng Wu et al.
RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment
Kevin Yang, Dan Klein, Asli Celikyilmaz et al.
RLIF: Interactive Imitation Learning as Reinforcement Learning
Jianlan Luo, Perry Dong, Yuexiang Zhai et al.
R-MAE: Regions Meet Masked Autoencoders
Duy Kien Nguyen, Yanghao Li, Vaibhav Aggarwal et al.
Road Network Representation Learning with the Third Law of Geography
Haicang Zhou, Weiming Huang, Yile Chen et al.
Robot Fleet Learning via Policy Merging
Lirui Wang, Kaiqing Zhang, Allan Zhou 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 Angular Synchronization via Directed Graph Neural Networks
Yixuan He, Gesine Reinert, David Wipf et al.
Robust Classification via Regression for Learning with Noisy Labels
Erik Englesson, Hossein Azizpour