ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks

We introduce an approach to training a given compact network. To this end, we leverage over-parameterization, which typically improves both neural network optimization and generalization. Specifically, we propose to expand each linear layer of the compact network into multiple consecutive linear lay...

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Bibliographische Detailangaben

Hauptverfasser:	Guo, Shuxuan, Alvarez, Jose M, Salzmann, Mathieu
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
Online-Zugang:	Volltext bestellen
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