no code implementations • 25 Dec 2020 • Amy X. Lu, Alex X. Lu, Alan Moses
Self-supervised representation learning of biological sequence embeddings alleviates computational resource constraints on downstream tasks while circumventing expensive experimental label acquisition.
1 code implementation • 11 Mar 2020 • Haoran Zhang, Amy X. Lu, Mohamed Abdalla, Matthew McDermott, Marzyeh Ghassemi
In this work, we examine the extent to which embeddings may encode marginalized populations differently, and how this may lead to a perpetuation of biases and worsened performance on clinical tasks.
1 code implementation • NeurIPS 2019 • Alex X. Lu, Amy X. Lu, Wiebke Schormann, Marzyeh Ghassemi, David W. Andrews, Alan M. Moses
Understanding if classifiers generalize to out-of-sample datasets is a central problem in machine learning.