LEAN: graph-based pruning for convolutional neural networks by extracting longest chains

Neural network pruning techniques can substantially reduce the computational cost of applying convolutional neural networks (CNNs). Common pruning methods determine which convolutional filters to remove by ranking the filters individually, i.e., without taking into account their interdependence. In...

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Veröffentlicht in:	arXiv.org 2022-06
Hauptverfasser:	Schoonhoven, Richard, Hendriksen, Allard A, Pelt, Daniël M, Batenburg, K Joost
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial neural networks Chains Convolution Graph theory Neural networks Substructures
Online-Zugang:	Volltext
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