Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via
Data Selection
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via
Data Selection
Machine learning models can fail on subgroups that are underrepresented during training. While techniques such as dataset balancing can improve performance on underperforming groups, they require access to training group annotations and can end up removing large portions of the dataset. In this paper, we introduce Data Debiasing with Datamodels …