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PGHash: Large-Scale Distributed Learning via Private On-Device Locally Sensitive Hashing

Sparsity in Neural Networks 2023 workshop, ICLR 2023.
Tahseen Rabbani, Marco Bornstein, Furong Huang
Publisher's website

Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator

ICLR 2023 Workshop on Trustworthy ML, ICLR 2023.
Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong
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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
Publisher's website