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SAGE: Subpopulation-Aware Generative Enhancement for Mitigating Spurious Correlations
Spurious correlations pose a significant challenge to the robustness of modern machine learning. The inherent imbalance in dataset distributions often leads traditional Empirical Risk Minimization (ERM) models to rely on majority spurious attributes for classification, resulting in poor performance
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