Review for NeurIPS paper: Deep Subspace Clustering with Data Augmentation

The proposed policy method found via the proposed greedy search strategy results outperforms policies found in the fully-supervised setting of ImageNet classification (by AutoAugment and practitioners). However, it is hard to tell if a different search method would result a better policy. It would be good to include baselines for the search method. It would be good to discuss this. It would also be good to discuss related work on searching for data augmentation policies (e.g. It would be nice to also show results on using the learnt features for a downstream tasks (e.g.