most citedWILDS: A Benchmark of in-the-Wild Distribution Shifts

285 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

2 papers

cs.CV2024★ 36 cited

Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology

Oren Kraus, Kian Kenyon-Dean, Saber Saberian +14

Featurizing microscopy images for use in biological research remains a significant challenge, especially for large-scale experiments spanning millions of images. This work explores…

cs.LG2020★ 285 cited

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Pang Wei Koh, Shiori Sagawa, Henrik Marklund +20

Distribution shifts -- where the training distribution differs from the test distribution -- can substantially degrade the accuracy of machine learning (ML) systems deployed in the…