Learning exists in the context of data, yet notions confidence typically focus on model predictions, not label quality. Confident learning (CL) is an alternative approach which focuses instead quality by characterizing and identifying errors datasets, based principles pruning noisy counting with probabilistic thresholds to estimate noise, ranking examples train confidence. Whereas numerous stud...