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Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness

The Eleventh International Conference on Learning Representations (ICLR), 2023.
Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang
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SMART: Self-supervised Multi-task pretrAining with contRol Transformers

The Eleventh International Conference on Learning Representations (ICLR), 2023.
Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor
Publisher's website BibTeX

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
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Mental Calibration: Discover- ing and Adjusting for Latent Factors Improves Zero-Shot Inference of CLIP

Workshop on Efficient Systems for Foundation Models (ES-FoMO), ICML 2023.
Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang
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C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder

The Second Workshop on Spurious Correlations, Invariance and Stability (SCIS) and Workshop on Structured Probabilistic Inference & Generative Modeling (SPIGM), ICML 2023.
Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
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Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making

AdvML-Frontiers workshop, ICML 2023.
Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang
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Principal-Driven Reward De- sign and Agent Policy Alignment via Bilevel-RL

Interactive Learning with Implicit Human Feedback Workshop (ILHF), ICML 2023.
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Furong Huang, Mengdi Wang
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Reviving Shift Equivariance in Vision Transformers

The Second Workshop on Spurious Correlations, Invariance and Stability (SCIS), ICML 2023.
Peijian Ding, Davit Soselia, Thomas Armstrong, Jiahao Su, Furong Huang
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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
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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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