DiRe: Improving Dataset Condensation with Diversity-Promoting Regularization

This research explores a novel regularization technique called DiRe to improve dataset condensation, a method for creating smaller, representative datasets. The focus on diversity is a promising approach to address common challenges in dataset condensation, potentially leading to more robust and generalizable models.