Towards Principled Dataset Distillation: A Spectral Distribution Perspective

Researchers propose Class-Aware Spectral Distribution Matching (CSDM), a new dataset distillation method that addresses performance issues on imbalanced datasets. The technique achieves 14% improvement over existing methods on CIFAR-10-LT with enhanced stability on long-tailed data distributions.