We propose a new training algorithm, ScanMix, that explores semantic clustering and semi-
supervised learning (SSL) to allow superior robustness to severe label noise and …

Designing robust algorithms capable of training accurate neural networks on uncurated
datasets from the web has been the subject of much research as it reduces the need for time …

Using search engines for web image retrieval is a tempting alternative to manual curation
when creating an image dataset, but their main drawback remains the proportion of incorrect …

The most competitive noisy label learning methods rely on an unsupervised classification of
clean and noisy samples, where samples classified as noisy are re-labelled and" …