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Scalable and accurate deep learning for electronic health records.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , и . CoRR, (2018)

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Jeff Berens

Jeff Bezanson

Julien DeAntoni

Dennis Jeffrey

Graham Deane

 

Другие публикации лиц с тем же именем

Building Machine Learning Systems that Understand.. SIGMOD Conference, стр. 1. ACM, (2016)Emergent Abilities of Large Language Models., , , , , , , , , и 6 other автор(ы). Trans. Mach. Learn. Res., (2022)Efficient Neural Architecture Search via Parameter Sharing., , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 4092-4101. PMLR, (2018)Designs, Lessons and Advice from Building Large Distributed Systems. LADIS 2009 keynote. Dispon�vel online em http://www.cs.cornell.edu/projects/ladis2009/talks/dean\-keynote\-ladis2009.pdf, (2009)A Hierarchical Model for Device Placement., , , , , и . ICLR (Poster), OpenReview.net, (2018)Efficiently Scaling Transformer Inference., , , , , , , , и . MLSys, mlsys.org, (2023)Building high-level features using large scale unsupervised learning, , , , , , , и . (2011)cite arxiv:1112.6209.Scalable and accurate deep learning for electronic health records., , , , , , , , , и 24 other автор(ы). CoRR, (2018)Exciting Directions for ML Models and the Implications for Computing Hardware., и . HCS, стр. 1-87. IEEE, (2023)A New Golden Age in Computer Architecture: Empowering the Machine-Learning Revolution., , и . IEEE Micro, 38 (2): 21-29 (2018)