Stochastic latent feature distillation: Enhancing dataset distillation via structured uncertainty modeling

Zhe Li, Sarah Cechnicka, Cheng Ouyang, Katharina Breininger, Peter Schüffler, Bernhard Kainz

Abstract: Highlights•Introduce SLFD, a framework that distills data with stochastic latent features.•Model spatial correlations using a low-rank multivariate distribution.•Achieve robust performance on high-resolution ImageNet-1K subsets.•Demonstrate applicability to medical imaging with strong results.

External IDs:doi:10.1016/j.jvcir.2025.104623