Papers
Reliable Measures of Spread in High Dimensional Latent Spaces
Anna Marbut, Katy Mckinney-Bock, Travis Wheeler
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
Ted Moskovitz, Brendan O’Donoghue, Vivek Veeriah et al.
Reparameterized Policy Learning for Multimodal Trajectory Optimization
Zhiao Huang, Litian Liang, Zhan Ling et al.
Repository-Level Prompt Generation for Large Language Models of Code
Disha Shrivastava, Hugo Larochelle, Daniel Tarlow
Representation-Driven Reinforcement Learning
Ofir Nabati, Guy Tennenholtz, Shie Mannor
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
Zakaria Mhammedi, Dylan J Foster, Alexander Rakhlin
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition
Yash Chandak, Shantanu Thakoor, Zhaohan Daniel Guo et al.
Representer Point Selection for Explaining Regularized High-dimensional Models
Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu et al.
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen et al.
Restoration based Generative Models
Jaemoo Choi, Yesom Park, Myungjoo Kang
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers
Sitan Chen, Giannis Daras, Alex Dimakis
Resurrecting Recurrent Neural Networks for Long Sequences
Antonio Orvieto, Samuel L Smith, Albert Gu et al.
Rethink DARTS Search Space and Renovate a New Benchmark
Jiuling Zhang, Zhiming Ding
Rethinking Backdoor Attacks
Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov et al.
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching
Fang Wu, Siyuan Li, Xurui Jin et al.
Rethinking Visual Reconstruction: Experience-Based Content Completion Guided by Visual Cues
Jiaxuan Chen, Yu Qi, Gang Pan
Rethinking Weak Supervision in Helping Contrastive Learning
Jingyi Cui, Weiran Huang, Yifei Wang et al.
Retrieval-Augmented Multimodal Language Modeling
Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi et al.
Retrosynthetic Planning with Dual Value Networks
Guoqing Liu, Di Xue, Shufang Xie et al.
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge
Shahine Bouabid, Jake Fawkes, Dino Sejdinovic
Revisiting Bellman Errors for Offline Model Selection
Joshua P Zitovsky, Daniel De Marchi, Rishabh Agarwal et al.
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
Junyuan Hong, Yi Zeng, Shuyang Yu et al.
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications
Chenyu Zheng, Guoqiang Wu, Fan Bao et al.
Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization
Yun-Hsuan Lien, Ping-Chun Hsieh, Yu-Shuen Wang