Reviews: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks

This paper relates sum-product tensor operations (a.k.a. In doing so, they formally define a new kind of layer, einconv layer, that generalizes previously proposed approaches for compressing CNNs. An extensive search over the space of possible layers is performed to compare new factorized layers with existing ones. The reviewers agree that the idea is original and well executed and that the paper has potential to be significant. One concern is that the proposed enumeration algorithm used in the experiments is not practical, which is true.