2021
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data
ICML 2021spotlight
Collecting more diverse and representative training data is often touted as a remedy for the disparate performance of machine learning predictors across subpopulations. However, a precise framework for understanding how dataset properties like diversity affect learning outcomes is largely lacking. B…