SAGE: Subpopulation-Aware Generative Enhancement for Mitigating Spurious Correlations
Subpopulation-Aware Generative Enhancement (SAGE), a two-stage generative augmentation framework, is introduced, using cluster-derived sub-labels and class labels to fine-tune a conditional generative model and text encoder, generating targeted synthetic data to fill underrepresented regions in the training set and con...