Review for NeurIPS paper: Identifying Mislabeled Data using the Area Under the Margin Ranking

The authors use the margin ranking to find the data with noisy labels. As far as know, the concept of margin has long been used for classification task, e.g., face recognition [1], [2], semi-supervised learning [3]. The methods [4], which employ memorization effect to select confident samples (small loss samples), also share similar ideas. The data with small loss has clean labels with high confidence and also has a larger margin ranking. The authors ignore the discussion and comparison about these existing works.