An accurate detection is not all you need to combat label noise in web-noisy datasets

Paul Albert, Jack Valmadre, Eric Arazo +3

Training a classifier on web-crawled data demands learning algorithms that are robust to annotation errors and irrelevant examples. This paper builds upon the recent empirical obse…