| On training sample memorization: Lessons from benchmarking generative modeling with a large-scale competition CY Bai, HT Lin, C Raffel, WC Kan Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 42 | 2021 |
| Defending llms against jailbreaking attacks via backtranslation Y Wang, Z Shi, A Bai, CJ Hsieh arXiv preprint arXiv:2402.16459, 2024 | 19 | 2024 |
| Concept gradient: Concept-based interpretation without linear assumption A Bai, CK Yeh, P Ravikumar, NYC Lin, CJ Hsieh arXiv preprint arXiv:2208.14966, 2022 | 17 | 2022 |
| Benchmarking tropical cyclone rapid intensification with satellite images and attention-based deep models CY Bai, BF Chen, HT Lin Machine Learning and Knowledge Discovery in Databases: Applied Data Science …, 2021 | 11 | 2021 |
| Reducing training sample memorization in GANs by training with memorization rejection A Bai, CJ Hsieh, W Kan, HT Lin arXiv preprint arXiv:2210.12231, 2022 | 6 | 2022 |
| Efficient system verification with multiple weakly-hard constraints for runtime monitoring SL Wu, CY Bai, KC Chang, YT Hsieh, C Huang, CW Lin, E Kang, Q Zhu International Conference on Runtime Verification, 497-516, 2020 | 6 | 2020 |
| Attention-based Deep Tropical Cyclone Rapid Intensification Prediction. CY Bai, BF Chen, HT Lin MACLEAN@ PKDD/ECML, 2019 | 5 | 2019 |
| Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation T Xie, H Li, A Bai, CJ Hsieh arXiv preprint arXiv:2401.09031, 2024 | 2 | 2024 |
| On the loss of context-awareness in general instruction fine-tuning Y Wang, A Bai, N Peng, CJ Hsieh arXiv preprint arXiv:2411.02688, 2024 | 1 | 2024 |
| CLUE: Concept-Level Uncertainty Estimation for Large Language Models YH Wang, A Bai, CP Tsai, CJ Hsieh arXiv preprint arXiv:2409.03021, 2024 | 1 | 2024 |
| Which Pretrain Samples to Rehearse when Finetuning Pretrained Models? A Bai, CK Yeh, CJ Hsieh, A Taly arXiv preprint arXiv:2402.08096, 2024 | 1 | 2024 |
| Generalizing Microscopy Image Labeling via Layer-Matching Adversarial Domain Adaptation V Goyal, M Liu, A Bai, N Lin, C Hsieh ICML’24 Workshop ML for Life and Material Science: From Theory to Industry …, 2024 | 1 | 2024 |
| System verification and runtime monitoring with multiple weakly-hard constraints YT Hsieh, TT Chang, CJ Tsai, SL Wu, CY Bai, KC Chang, CW Lin, E Kang, ... ACM Transactions on Cyber-Physical Systems 7 (3), 1-28, 2023 | 1 | 2023 |
| A Large-scale Study on Training Sample Memorization in Generative Modeling CY Bai, HT Lin, C Raffel, W Kan | 1 | |
| Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Models J He, J Zhao, A Bai, CJ Hsieh arXiv preprint arXiv:2407.21159, 2024 | | 2024 |
| Rotation Plane Doubly Orthogonal Recurrent Neural Networks Z McCarthy, A Bai, X Chen, P Abbeel | | 2016 |
