Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy

Dongmin Park, Seola Choi, Doyoung Kim +2

Data pruning, which aims to downsize a large training set into a small informative subset, is crucial for reducing the enormous computational costs of modern deep learning. Though…