2026
Do We Need All the Synthetic Data? Targeted Image Augmentation via Diffusion Models
ICLR 2026poster
Synthetically augmenting training datasets with diffusion models has been an effective strategy for improving generalization of image classifiers. However, existing techniques struggle to ensure the diversity of generation and increase the size of the data by up to 10-30x to improve the in-distribut…