Attention Based Pruning for Shift Networks

Ghouthi Boukli Hacene
Ghouthi Boukli Hacene
Carlos Eduardo Rosar Kós Lassance
Carlos Eduardo Rosar Kós Lassance

arXiv: Neural and Evolutionary Computing, 2019.

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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

In many application domains such as computer vision, Convolutional Layers (CLs) are key to the accuracy of deep learning methods. However, it is often required to assemble a large number of CLs, each containing thousands of parameters, in order to reach state-of-the-art accuracy, thus resulting in complex and demanding systems that are ...More

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