An intentional approach to managing bias in general purpose embedding models-Reference-Cited by-同舟云学术

An intentional approach to managing bias in general purpose embedding models

Published:2024-02 Issue:2 Volume:6 Page:e126-e130
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Weng Wei-Hung,Sellergen Andrew,Kiraly Atilla P,D’Amour Alexander,Park Jungyeon,Pilgrim Rory,Pfohl Stephen,Lau Charles,Natarajan Vivek,Azizi Shekoofeh,Karthikesalingam Alan,Cole-Lewis Heather,Matias Yossi,Corrado Greg S,Webster Dale R,Shetty Shravya,Prabhakara Shruthi,Eswaran Krish,Celi Leo A G,Liu Yun

Funder

Google LLC

Publisher

Elsevier BV

Reference38 articles.

1. High-performance medicine: the convergence of human and artificial intelligence;Topol;Nat Med,2019

2. Representation learning: a review and new perspectives;Bengio;IEEE Trans Pattern Anal Mach Intell,2013

3. Simplified transfer learning for chest radiography models using less data;Sellergren;Radiology,2022

4. Crowdsourcing knowledge discovery and innovations in medicine;Celi;J Med Internet Res,2014

5. A “datathon” model to support cross-disciplinary collaboration;Aboab;Sci Transl Med,2016

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