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Preserving In-Context Learning ability in Large Language Model Fine-tuning


Nov 01, 2022
Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui Hsieh, Inderjit S Dhillon, Sanjiv Kumar

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Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation


Oct 13, 2022
Zhouxing Shi, Yihan Wang, Huan Zhang, Zico Kolter, Cho-Jui Hsieh

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* NeurIPS 2022 

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RLPrompt: Optimizing Discrete Text Prompts With Reinforcement Learning


May 25, 2022
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu

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* Code available at https://github.com/mingkaid/rl-prompt 

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Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation


May 03, 2022
Yihan Wang, Muyang Li, Han Cai, Wei-Ming Chen, Song Han

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* IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2022 
* 11 pages 

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Adversarial Parameter Attack on Deep Neural Networks


Mar 20, 2022
Lijia Yu, Yihan Wang, Xiao-Shan Gao

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On the Convergence of Certified Robust Training with Interval Bound Propagation


Mar 16, 2022
Yihan Wang, Zhouxing Shi, Quanquan Gu, Cho-Jui Hsieh

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* ICLR 2022 

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Fast Certified Robust Training via Better Initialization and Shorter Warmup


Apr 01, 2021
Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh

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Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers


Nov 27, 2020
Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh

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On $\ell_p$-norm Robustness of Ensemble Stumps and Trees


Sep 29, 2020
Yihan Wang, Huan Zhang, Hongge Chen, Duane Boning, Cho-Jui Hsieh

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* ICML 2020 

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