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Towards adversarially robust dataset distillation by curvature regularization
Dataset distillation (DD) allows datasets to be distilled to fractions of their original size while
preserving the rich distributional information so that models trained on the distilled datasets …
preserving the rich distributional information so that models trained on the distilled datasets …
The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions
Dataset distillation, which condenses large-scale datasets into compact synthetic
representations, has emerged as a critical solution for training modern deep learning …
representations, has emerged as a critical solution for training modern deep learning …