2023
Prune Then Distill: Dataset Distillation with Importance Sampling
ICASSP 2023accepted
The development of large datasets for various tasks has driven the success of deep learning models but at the cost of increased label noise, duplication, collection challenges, storage capabilities, and training requirements. In this work, we investigate whether all samples in large datasets contrib…