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C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder

Neural Information Processing System (NeurIPS), 2023.
Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
BibTeX

Large-Scale Distributed Learning via Private On-Device LSH

Neural Information Processing System (NeurIPS), 2023.
Tahseen Rabbani, Marco Bornstein, Furong Huang
BibTeX

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 BibTeX

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning

Neural Information Processing System (NeurIPS), 2023.
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daume, Furong Huang
BibTeX

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Neural Information Processing System (NeurIPS), 2023.
Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie S. Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein
BibTeX

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

International Conference on Machine Learning (ICML), 2023.
Xiyao Wang, Wichayaporn Wongkamjan, Furong Huang
Publisher's website BibTeX

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

accepted for a spotlight presentation workshop of Decision Awareness in Reinforcement Learning (DARL) @ICML2022.
Xiyao Wang, Wichayaporn Wongkamjan, Furong Huang
Publisher's website BibTeX

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

International Conference on Machine Learning (ICML), 2023.
Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong
BibTeX

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
Publisher's website BibTeX

STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning

In Proceedings of the 40th International Conference on Machine Learning (ICML), 2023, 2023
Souradip Chakraborty and Amrit Singh Bedi and Alec Koppel and Mengdi Wang and Furong Huang and Dinesh Manocha
Publisher's website BibTeX