Compositional Sparsity as an Inductive Bias for Neural Architecture Design

Hongyu Lin, Antonio Briola, Yuanrong Wang +1

Identifying the structural priors that enable Deep Neural Networks (DNNs) to overcome the curse of dimensionality is a fundamental challenge in machine learning theory. Existing li…