Reviews: Learning Data Manipulation for Augmentation and Weighting

The paper presents a gradient based meta learning approach to automating data augmentation and weighting examples. The experiments support the advantages of the proposed technique. There are some interesting technical novelty in the proposed algorithm and a clear discussion of such novelty in the context of recent papers is beneficial. Given the similarity of the proposed technique and existing recent work on meta-learning, I recommend accepting as a poster.