Optimal Transport-based Difficulty-aware Contribution Allocation for Dataset Distillation.
The increasing reliance on large-scale datasets imposes significant storage and computational burdens on training deep learning models. Dataset distillation methods, particularly those based on sample generation, aim to condense large original datasets into compact synthetic sets while preserving essential information....