Papers
8,340 papers found
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
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
Anastasia Koloskova, Hadrien Hendrikx, Sebastian U Stich
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
Khang Nguyen, Nong Minh Hieu, Vinh Duc Nguyen et al.
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning
Biao Liu, Ning Xu, Jiaqi Lv et al.
Revisiting Sampling for Combinatorial Optimization
Haoran Sun, Katayoon Goshvadi, Azade Nova et al.
Revisiting Simple Regret: Fast Rates for Returning a Good Arm
Yao Zhao, Connor Stephens, Csaba Szepesvari et al.
Revisiting Structured Variational Autoencoders
Yixiu Zhao, Scott Linderman
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation
Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang et al.
Revisiting Weighted Aggregation in Federated Learning with Neural Networks
Zexi Li, Tao Lin, Xinyi Shang et al.
Reward-Mixing MDPs with Few Latent Contexts are Learnable
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis et al.
RGE: A Repulsive Graph Rectification for Node Classification via Influence
Jaeyun Song, Sungyub Kim, Eunho Yang
Rigid Body Flows for Sampling Molecular Crystal Structures
Jonas Köhler, Michele Invernizzi, Pim De Haan et al.
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents
Rafael Rodriguez-Sanchez, Benjamin Adin Spiegel, Jennifer Wang et al.
RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation
Liming Zhao, Kecheng Zheng, Yun Zheng et al.
RLSbench: Domain Adaptation Under Relaxed Label Shift
Saurabh Garg, Nick Erickson, James Sharpnack et al.
Robust and private stochastic linear bandits
Vasileios Charisopoulos, Hossein Esfandiari, Vahab Mirrokni