Jack Valmadre

Learning with Neighbor Consistency for Noisy Labels

2022 · arXiv (Cornell University)

Recent advances in deep learning have relied on large, labelled datasets to train high-capacity models. However, collecting large datasets in a time- and cost-efficient manner often results in label noise. We present a method for …