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Matthew B. A. McDermott

CSAIL, MIT

Rethinking Relational Encoding in Language Model: Pre-Training for General Sequences


Mar 18, 2021
Matthew B. A. McDermott, Brendan Yap, Peter Szolovits, Marinka Zitnik


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Adversarial Contrastive Pre-training for Protein Sequences


Jan 31, 2021
Matthew B. A. McDermott, Brendan Yap, Harry Hsu, Di Jin, Peter Szolovits


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ML4H Abstract Track 2020


Nov 19, 2020
Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland


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A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data


Jul 20, 2020
Matthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi


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CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output


Jun 26, 2020
Matthew B. A. McDermott, Tzu Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits

* To appear at MLHC 2020 

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ML4H Abstract Track 2019


Feb 05, 2020
Matthew B. A. McDermott, Emily Alsentzer, Sam Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca


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Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation


Dec 04, 2019
Aparna Balagopalan, Jekaterina Novikova, Matthew B. A. McDermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi

* Accepted to ML4H at NeurIPS 2019 

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Approaching Small Molecule Prioritization as a Cross-Modal Information Retrieval Task through Coordinated Representation Learning


Nov 22, 2019
Samuel G. Finlayson, Matthew B. A. McDermott, Alex V. Pickering, Scott L. Lipnick, William Yuan, Isaac S. Kohane


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Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks


Aug 02, 2019
Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi


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REflex: Flexible Framework for Relation Extraction in Multiple Domains


Jul 20, 2019
Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits

* accepted by BioNLP 2019 at the Association of Computation Linguistics 2019 

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MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III


Jul 19, 2019
Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan, Michael C. Hughes, Tristan Naumann, Marzyeh Ghassemi


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Reproducibility in Machine Learning for Health


Jul 02, 2019
Matthew B. A. McDermott, Shirly Wang, Nikki Marinsek, Rajesh Ranganath, Marzyeh Ghassemi, Luca Foschini

* Presented at the ICLR 2019 Reproducibility in Machine Learning Workshop 

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Reflex: Flexible Framework for Relation Extraction in Multiple Domains


Jun 19, 2019
Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits

* accepted by BioNLP 2019 at the Association of Computation Linguistics 2019 

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Publicly Available Clinical BERT Embeddings


Apr 29, 2019
Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott

* Clinical Natural Language Processing (ClinicalNLP) Workshop at NAACL 2019 

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Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation


Nov 30, 2018
Bret Nestor, Matthew B. A. McDermott, Geeticka Chauhan, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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