Robust Curriculum Learning: from clean label detection to noisy label self-correction

Earlier: Supervised learning on data with correct given label but wrong pseudo-label [small EMA loss & large EMA time inconsistency] • Later: Self-supervised learning on data with wrong given label but correct pseudo-label [large EMA loss & small EMA time inconsistency]