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Andrew Bai
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2020 – today
- 2024
- [j2]Tong Xie, Haoyu Li, Andrew Bai, Cho-Jui Hsieh:
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation. Trans. Mach. Learn. Res. 2024 (2024) - [c2]Yihan Wang, Zhouxing Shi, Andrew Bai, Cho-Jui Hsieh:
Defending LLMs against Jailbreaking Attacks via Backtranslation. ACL (Findings) 2024: 16031-16046 - [i7]Tong Xie, Haoyu Li, Andrew Bai, Cho-Jui Hsieh:
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation. CoRR abs/2401.09031 (2024) - [i6]Andrew Bai, Chih-Kuan Yeh, Cho-Jui Hsieh, Ankur Taly:
Which Pretrain Samples to Rehearse when Finetuning Pretrained Models? CoRR abs/2402.08096 (2024) - [i5]Yihan Wang, Zhouxing Shi, Andrew Bai, Cho-Jui Hsieh:
Defending LLMs against Jailbreaking Attacks via Backtranslation. CoRR abs/2402.16459 (2024) - [i4]Jack He, Jianxing Zhao, Andrew Bai, Cho-Jui Hsieh:
Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Models. CoRR abs/2407.21159 (2024) - [i3]Yu-Hsiang Wang, Andrew Bai, Che-Ping Tsai, Cho-Jui Hsieh:
CLUE: Concept-Level Uncertainty Estimation for Large Language Models. CoRR abs/2409.03021 (2024) - 2023
- [c1]Andrew Bai, Chih-Kuan Yeh, Neil Y. C. Lin, Pradeep Kumar Ravikumar, Cho-Jui Hsieh:
Concept Gradient: Concept-based Interpretation Without Linear Assumption. ICLR 2023 - 2022
- [i2]Andrew Bai, Chih-Kuan Yeh, Pradeep Ravikumar, Neil Y. C. Lin, Cho-Jui Hsieh:
Concept Gradient: Concept-based Interpretation Without Linear Assumption. CoRR abs/2208.14966 (2022) - [i1]Andrew Bai, Cho-Jui Hsieh, Wendy Chi-wen Kan, Hsuan-Tien Lin:
Reducing Training Sample Memorization in GANs by Training with Memorization Rejection. CoRR abs/2210.12231 (2022) - 2021
- [j1]Xinhe Chen, Kai Wu, Andrew Bai, Cornelius M. Masuku, Jacques Niederberger, Fábio S. Liporace, Lorenz T. Biegler:
Real-time refinery optimization with reduced-order fluidized catalytic cracker model and surrogate-based trust region filter method. Comput. Chem. Eng. 153: 107455 (2021)
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last updated on 2024-10-10 21:19 CEST by the dblp team
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