NeurIPS 2020

Structured Convolutions for Efficient Neural Network Design

Meta Review

Deep net compression by replacing large-kernel convolutions with sum-pooling and smaller convolutions. Following discussion the reviewers are generally positive, and the rebuttal has addressed some of their initial concerns. Overall I think this will make a good poster. The main novelty is the introduction of a useful form of structured convolutions and a demonstration of its applicability for creating efficient neural networks. The results are strong, showing reduction of complexity with comparable performance in terms of accuracy.