ConfiG uses teacher-student confidence disagreement to guide diffusion-based augmentation and improves worst-group accuracy under unknown covariate shift in knowledge distillation.
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Improving Knowledge Distillation Under Unknown Covariate Shift Through Confidence-Guided Data Augmentation
ConfiG uses teacher-student confidence disagreement to guide diffusion-based augmentation and improves worst-group accuracy under unknown covariate shift in knowledge distillation.