Early Learning, Data Science, Noisy Labels.
learning to detect the examples with clean labels and either disregard or attempt to correct false labels. Ultimately, the team’s approach does not require detecting the examples with clean labels. Instead, they propose a novel regularization procedure which preserves the progress made during the