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Chen et al., 2020 - Google Patents

Dynamical channel pruning by conditional accuracy change for deep neural networks

Chen et al., 2020

Document ID
4961958145796890693
Author
Chen Z
Xu T
Du C
Liu C
He H
Publication year
Publication venue
IEEE transactions on neural networks and learning systems

External Links

Snippet

Channel pruning is an effective technique that has been widely applied to deep neural network compression. However, many existing methods prune from a pretrained model, thus resulting in repetitious pruning and fine-tuning processes. In this article, we propose a …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06N3/08Learning methods
    • G06N3/082Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
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