Kilian Fatras

Wasserstein Adversarial Regularization (WAR) on label noise

2019

Noisy labels often occur in vision datasets, especially when they are obtained from crowdsourcing or Web scraping. We propose a new regularization method, which enables learning robust classifiers in presence of noisy data. To achieve …