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Large-Scale Distributed Learning via Private On-Device LSH

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

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

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

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

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

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

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

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

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

International Conference on Machine Learning (ICML), 2023.
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha
Publisher's website

Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning

Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023.
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Furong Huang, Pratap Tokekar, Dinesh Manocha
Publisher's website