743 citations · 2.1k across the 27 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.LG2024
An Effective Theory of Bias Amplification
Arjun Subramonian, Samuel J. Bell, Levent Sagun +1
Machine learning models can capture and amplify biases present in data, leading to disparate test performance across social groups. To better understand, evaluate, and mitigate the…
cs.LG2024
Reassessing the Validity of Spurious Correlations Benchmarks
Samuel J. Bell, Diane Bouchacourt, Levent Sagun
Neural networks can fail when the data contains spurious correlations. To understand this phenomenon, researchers have proposed numerous spurious correlations benchmarks upon which…