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Where do Models go Wrong? Parameter-Space Saliency Maps for Explainabilit

Neural Information Processing System (NeurIPS), 2022.
Roman Levin, Manli Shu, Eitan Borgnia, Furong Huang, Micah Goldblum, Tom Goldstein
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End-to-end Scalable Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking

Neural Information Processing System (NeurIPS), 2022.
Arpit Bansal, Avi Schwarzschild, Eitan Borgnia, Zeyad Emam, Furong Huang, Micah Goldblum, Tom Goldstein
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Adversarial Auto- Augment with Label Preservation: A Representation Learning Principle Guided Approach

Neural Information Processing System (NeurIPS), 2022.
Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
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Sketch-GNN: Efficient GNNs with Graph Size-Independent Scalability

Neural Information Processing System (NeurIPS), 2022.
Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang
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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
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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
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Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework

International Conference on Machine Learning (ICML), 2022.
Jiahao Su, Wonmin Byeon, Furong Huang
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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
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