Yujia Bao
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Few-shot Text Classification with Distributional Signatures
Y Bao, M Wu, S Chang, R Barzilay
International Conference on Learning Representations, 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
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
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
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
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
Predict then interpolate: A simple algorithm to learn stable classifiers
Y Bao, S Chang, R Barzilay
International Conference on Machine Learning, 640-650, 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
Learning to Split for Automatic Bias Detection
Y Bao, R Barzilay
arXiv preprint arXiv:2204.13749, 2022
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
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
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
Learning Stable Classifiers by Transferring Unstable Features
Y Bao, S Chang, R Barzilay
International Conference on Machine Learning, 1483-1507, 2022
Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words
Y Bao, S Sivanandan, T Karaletsos
arXiv preprint arXiv:2309.16108, 2023
Contextual Vision Transformers for Robust Representation Learning
Y Bao, T Karaletsos
arXiv preprint arXiv:2305.19402, 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
Sample, estimate, aggregate: A recipe for causal discovery foundation models
M Wu, Y Bao, R Barzilay, T Jaakkola
arXiv preprint arXiv:2402.01929, 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
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