Review for NeurIPS paper: ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding

Four knowledgeable reviewers support acceptance for the contributions. Reviewers find that i) using sparse coding to solve the gap issue in NAS is novel and promising. The formulation and notations are neat. There is also a performance improvement in the one-stage framework. V) the paper is well-organized and easy to understand.