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Transferring Fairness under Distribution Shifts via Fair Consistency Regularization

Neural Information Processing System (NeurIPS), 2022.
Bang An, Zora Che, Mucong Ding, Furong Huang
Publisher's website BibTeX

Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning

Neural Information Processing System (NeurIPS), 2022.
Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang
Publisher's website BibTeX

Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework

International Conference on Machine Learning (ICML), 2022.
Jiahao Su, Wonmin Byeon, Furong Huang
Publisher's website BibTeX

Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency

The Tenth International Conference on Learning Representations (ICLR), 2022.
Xiaoyu Liu, Jiahao Su, Furong Huang
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Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL

The Tenth International Conference on Learning Representations (ICLR), 2022.
Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang
Publisher's website BibTeX

Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory

The Tenth International Conference on Learning Representations (ICLR), 2022.
Zhi Zhang, Zhuoran Yang, Han Liu, Pratap Tokekar, Furong Huang
Publisher's website BibTeX

Transfer RL across Observation Feature Spaces via Model-Based Regularization

The Tenth International Conference on Learning Representations (ICLR), 2022.
Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E Cohen, Furong Huang
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Understanding the Generalization Benefit of Model Invariance from a Data Perspective

Neural Information Processing System (NeurIPS), 2021.
Sicheng Zhu, Bang An, Furong Huang
Publisher's website BibTeX

VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization

Neural Information Processing System (NeurIPS), 2021.
Mucong Ding, Kezhi Kong, Jingling Li, Chen Zhu, John P Dickerson, Furong Huang, Tom Goldstein
BibTeX

Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks

Neural Information Processing System (NeurIPS), 2021.
Avi Schwarzschild, Eitan Borgnia, Arjun Gupta, Furong Huang, Uzi Vishkin, Micah Goldblum, Tom Goldstein
Publisher's website BibTeX