Towards Unifying Neural Architecture Space Exploration and Generalization

2 Oct 2019Kartikeya BhardwajRadu Marculescu

In this paper, we address a fundamental research question of significant practical interest: Can certain theoretical characteristics of CNN architectures indicate a priori (i.e., without training) which models with highly different number of parameters and layers achieve a similar generalization performance? To answer this question, we model CNNs from a network science perspective and introduce a new, theoretically-grounded, architecture-level metric called NN-Mass... (read more)

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