Flocks of stochastic parrots: Differentially private prompt learning for large language models H Duan, A Dziedzic, N Papernot, F Boenisch Advances in Neural Information Processing Systems 36, 2024 | 43 | 2024 |
Augment with care: Contrastive learning for combinatorial problems H Duan, P Vaezipoor, MB Paulus, Y Ruan, C Maddison International Conference on Machine Learning, 5627-5642, 2022 | 24* | 2022 |
On the privacy risk of in-context learning H Duan, A Dziedzic, M Yaghini, N Papernot, F Boenisch The 61st Annual Meeting Of The Association For Computational Linguistics, 2023 | 22 | 2023 |
Dataset inference for self-supervised models A Dziedzic, H Duan, MA Kaleem, N Dhawan, J Guan, Y Cattan, ... Advances in Neural Information Processing Systems 35, 12058-12070, 2022 | 21 | 2022 |
Distributional reinforcement learning with monotonic splines Y Luo, G Liu, H Duan, O Schulte, P Poupart International Conference on Learning Representations, 2021 | 16 | 2021 |
Online bayesian moment matching based sat solver heuristics H Duan, S Nejati, G Trimponias, P Poupart, V Ganesh International Conference on Machine Learning, 2710-2719, 2020 | 8 | 2020 |
Sentence embedding encoders are easy to steal but hard to defend A Dziedzic, F Boenisch, M Jiang, H Duan, N Papernot CISPA, 2023 | 5 | 2023 |
Discriminative training of feed-forward and recurrent sum-product networks by extended Baum-Welch H Duan, A Rashwan, P Poupart, Z Chen International Journal of Approximate Reasoning 124, 66-81, 2020 | 4 | 2020 |
Method of Moments in Approximate Bayesian Inference: From Theory to Practice H Duan University of Waterloo, 2021 | 1 | 2021 |
Boosting the Predictive Power of Protein Representations with a Corpus of Text Annotations H Duan, M Skreta, L Cotta, EM Rajaonson, N Dhawan, A Aspuru-Guzik, ... bioRxiv, 2024.07. 22.604688, 2024 | | 2024 |
Meta-Designing Quantum Experiments with Language Models S Arlt, H Duan, F Li, SM Xie, Y Wu, M Krenn arXiv preprint arXiv:2406.02470, 2024 | | 2024 |