Papers
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
Itai Gat, Idan Schwartz, Alexander Schwing et al.
Reparameterizing Mirror Descent as Gradient Descent
Ehsan Amid, Manfred K. Warmuth
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets
Rui Luo, Qiang Zhang, Yaodong Yang et al.
RepPoints v2: Verification Meets Regression for Object Detection
Yihong Chen, Zheng Zhang, Yue Cao et al.
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment
Yuan Chen, Donglin Zeng, Tianchen Xu et al.
Rescuing neural spike train models from bad MLE
Diego Arribas, Yuan Zhao, ll Memming Park
Reservoir Computing meets Recurrent Kernels and Structured Transforms
Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan et al.
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts
Guilin Li, Junlei Zhang, Yunhe Wang et al.
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
Siwei Wang, Longbo Huang, John C. S. Lui
Restoring Negative Information in Few-Shot Object Detection
Yukuan Yang, Fangyun Wei, Miaojing Shi et al.
Rethinking Importance Weighting for Deep Learning under Distribution Shift
Tongtong Fang, Nan Lu, Gang Niu et al.
Rethinking Learnable Tree Filter for Generic Feature Transform
Lin Song, Yanwei Li, Zhengkai Jiang et al.
Rethinking pooling in graph neural networks
Diego Mesquita, Amauri Souza, Samuel Kaski
Rethinking Pre-training and Self-training
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin et al.
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang, Zhi Xu
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus et al.
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist
Chaochao Yan, Qianggang Ding, Peilin Zhao et al.
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice
Rylan Schaeffer, Mikail Khona, Leenoy Meshulam et al.
Revisiting Parameter Sharing for Automatic Neural Channel Number Search
Jiaxing Wang, Haoli Bai, Jiaxiang Wu et al.
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
Minh Hoang, Nghia Hoang, Hai Pham et al.
Reward Propagation Using Graph Convolutional Networks
Martin Klissarov, Doina Precup
Reward-rational (implicit) choice: A unifying formalism for reward learning
Hong Jun Jeon, Smitha Milli, Anca Dragan
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Ben Eysenbach, XINYANG GENG, Sergey Levine et al.