Jason Alan Fries
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Multitask prompted training enables zero-shot task generalization
V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ...
arXiv preprint arXiv:2110.08207, 2021
Bloom: A 176b-parameter open-access multilingual language model
T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
Snorkel: Rapid training data creation with weak supervision
A Ratner, SH Bach, H Ehrenberg, J Fries, S Wu, C Ré
Proceedings of the VLDB endowment. International conference on very large …, 2017
Promptsource: An integrated development environment and repository for natural language prompts
SH Bach, V Sanh, ZX Yong, A Webson, C Raffel, NV Nayak, A Sharma, ...
arXiv preprint arXiv:2202.01279, 2022
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences
JA Fries, P Varma, VS Chen, K Xiao, H Tejeda, P Saha, J Dunnmon, ...
Nature communications 10 (1), 3111, 2019
Swellshark: A generative model for biomedical named entity recognition without labeled data
J Fries, S Wu, A Ratner, C Ré
arXiv preprint arXiv:1704.06360, 2017
Language models are an effective representation learning technique for electronic health record data
E Steinberg, K Jung, JA Fries, CK Corbin, SR Pfohl, NH Shah
Journal of biomedical informatics 113, 103637, 2021
Ontology-driven weak supervision for clinical entity classification in electronic health records
JA Fries, E Steinberg, S Khattar, SL Fleming, J Posada, A Callahan, ...
Nature communications 12 (1), 2017, 2021
Monitoring hand hygiene via human observers: how should we be sampling?
J Fries, AM Segre, G Thomas, T Herman, K Ellingson, PM Polgreen
Infection Control & Hospital Epidemiology 33 (7), 689-695, 2012
The shaky foundations of large language models and foundation models for electronic health records
M Wornow, Y Xu, R Thapa, B Patel, E Steinberg, S Fleming, MA Pfeffer, ...
npj Digital Medicine 6 (1), 135, 2023
Brundlefly at SemEval-2016 Task 12: Recurrent neural networks vs. joint inference for clinical temporal information extraction
JA Fries
arXiv preprint arXiv:1606.01433, 2016
Medical device surveillance with electronic health records
A Callahan, JA Fries, C Ré, JI Huddleston III, NJ Giori, S Delp, NH Shah
NPJ digital medicine 2 (1), 94, 2019
Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine
LL Guo, SR Pfohl, J Fries, AEW Johnson, J Posada, C Aftandilian, N Shah, ...
Scientific reports 12 (1), 2726, 2022
Assessing the accuracy of automatic speech recognition for psychotherapy
AS Miner, A Haque, JA Fries, SL Fleming, DE Wilfley, G Terence Wilson, ...
NPJ digital medicine 3 (1), 82, 2020
Estimating the efficacy of symptom-based screening for COVID-19
A Callahan, E Steinberg, JA Fries, S Gombar, B Patel, CK Corbin, ...
NPJ digital medicine 3 (1), 95, 2020
Bigbio: A framework for data-centric biomedical natural language processing
J Fries, L Weber, N Seelam, G Altay, D Datta, S Garda, S Kang, R Su, ...
Advances in Neural Information Processing Systems 35, 25792-25806, 2022
Multi-resolution weak supervision for sequential data
P Varma, F Sala, S Sagawa, J Fries, D Fu, S Khattar, A Ramamoorthy, ...
Advances in Neural Information Processing Systems 32, 2019
Systematic review of approaches to preserve machine learning performance in the presence of temporal dataset shift in clinical medicine
LL Guo, SR Pfohl, J Fries, J Posada, SL Fleming, C Aftandilian, N Shah, ...
Applied clinical informatics 12 (04), 808-815, 2021
Multitask prompted training enables zero-shot task generalization
S Victor, W Albert, R Colin, B Stephen, S Lintang, A Zaid, C Antoine, ...
International Conference on Learning Representations, 2022
Shortfuse: Biomedical time series representations in the presence of structured information
M Fiterau, S Bhooshan, J Fries, C Bournhonesque, J Hicks, E Halilaj, ...
Machine Learning for Healthcare Conference, 59-74, 2017
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