| Few-shot Text Classification with Distributional Signatures Y Bao, M Wu, S Chang, R Barzilay International Conference on Learning Representations, 2020 | 211 | 2020 |
| Deriving Machine Attention from Human Rationales Y Bao, S Chang, M Yu, R Barzilay Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 123 | 2018 |
| Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes Y Bao, Z Deng, Y Wang, H Kim, VD Armengol, F Acevedo, N Ouardaoui, ... JCO clinical cancer informatics 3, 1-9, 2019 | 46 | 2019 |
| Natural language processing to facilitate breast cancer research and management KS Hughes, J Zhou, Y Bao, P Singh, J Wang, K Yin The breast journal 26 (1), 92-99, 2020 | 42 | 2020 |
| Validation of a Semiautomated Natural Language Processing–Based Procedure for Meta-Analysis of Cancer Susceptibility Gene Penetrance Z Deng, K Yin, Y Bao, VD Armengol, C Wang, A Tiwari, R Barzilay, ... JCO clinical cancer informatics 3, 1-9, 2019 | 30 | 2019 |
| Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data Y Bao, Z Kuang, P Peissig, D Page, R Willett Machine Learning for Healthcare Conference, 177-190, 2017 | 26 | 2017 |
| Predict then interpolate: A simple algorithm to learn stable classifiers Y Bao, S Chang, R Barzilay International Conference on Machine Learning, 640-650, 2021 | 23 | 2021 |
| A Machine-Learning-Based Drug Repurposing Approach Using Baseline Regularization Z Kuang, Y Bao, J Thomson, M Caldwell, P Peissig, R Stewart, R Willett, ... Computational Methods for Drug Repurposing, 255-267, 2019 | 22 | 2019 |
| Learning to Split for Automatic Bias Detection Y Bao, R Barzilay arXiv preprint arXiv:2204.13749, 2022 | 19 | 2022 |
| Disease spectrum of breast cancer susceptibility genes J Wang, P Singh, K Yin, J Zhou, Y Bao, M Wu, K Pathak, SK McKinley, ... Frontiers in oncology 11, 663419, 2021 | 13 | 2021 |
| Non-medullary thyroid cancer susceptibility genes: evidence and disease spectrum J Zhou, P Singh, K Yin, J Wang, Y Bao, M Wu, K Pathak, SK McKinley, ... Annals of Surgical Oncology, 1-11, 2021 | 13 | 2021 |
| Disease spectrum of gastric cancer susceptibility genes SK McKinley, P Singh, K Yin, J Wang, J Zhou, Y Bao, M Wu, K Pathak, ... Medical Oncology 38, 1-10, 2021 | 11 | 2021 |
| Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words Y Bao, S Sivanandan, T Karaletsos International Conference on Learning Representations, 2024 | 10 | 2024 |
| Learning Stable Classifiers by Transferring Unstable Features Y Bao, S Chang, R Barzilay International Conference on Machine Learning, 1483-1507, 2022 | 9 | 2022 |
| Contextual vision transformers for robust representation learning Y Bao, T Karaletsos ICML 2023, The Second Workshop on Spurious Correlations, Invariance and …, 2023 | 4 | 2023 |
| Harnessing Business and Media Insights with Large Language Models Y Bao, AP Shah, N Narang, J Rivers, R Maksey, L Guan, LN Barrere, ... arXiv preprint arXiv:2406.06559, 2024 | 3 | 2024 |
| Deep Learning Analysis on Images of iPSC-derived Motor Neurons Carrying fALS-genetics Reveals Disease-Relevant Phenotypes R Atmaramani, T Dreossi, K Ford, L Gan, J Mitchell, S Tu, J Velayutham, ... bioRxiv, 2024.01. 04.574270, 2024 | 2 | 2024 |
| Sample, estimate, aggregate: A recipe for causal discovery foundation models M Wu, Y Bao, R Barzilay, T Jaakkola ICLR 2024 Workshop on Machine Learning for Genomics Explorations, 2024 | 2 | 2024 |
| LLM Unlearning via Loss Adjustment with Only Forget Data Y Wang, J Wei, CY Liu, J Pang, Q Liu, AP Shah, Y Bao, Y Liu, W Wei arXiv preprint arXiv:2410.11143, 2024 | | 2024 |
| Improving Data Efficiency via Curating LLM-Driven Rating Systems J Pang, J Wei, AP Shah, Z Zhu, Y Wang, C Qian, Y Liu, Y Bao, W Wei arXiv preprint arXiv:2410.10877, 2024 | | 2024 |
Regina BarzilayProfessor of EECS, MITVerified email at csail.mit.edu
