Skipping Two Layers in ResNet Makes the Generalization Gap Smaller than Skipping One or No Layer

Yasutaka Furusho, Tongliang Liu, Kazushi Ikeda. Skipping Two Layers in ResNet Makes the Generalization Gap Smaller than Skipping One or No Layer. In Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita, editors, Recent Advances in Big Data and Deep Learning, Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL 2019, held at Sestri Levante, Genova, Italy 16-18 April 2019. pages 349-358, Springer, 2019. [doi]

Abstract

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