8 citations · 8 across the 1 of their papers we have counts for
3 papers
q-bio.BM2020★ 8 cited
Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning
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 experiment…
cs.CL2020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
Haoran Zhang, Amy X. Lu, Mohamed Abdalla +2
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…
cs.LG2019
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers
Alex X. Lu, Amy X. Lu, Wiebke Schormann +3
Understanding if classifiers generalize to out-of-sample datasets is a central problem in machine learning. Microscopy images provide a standardized way to measure the generalizati…