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Status: Unchecked ×Keyword: structural pruning ×Clear all

1 claim from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Discrete Model Compression With Resource Constraint for Deep Neural Networks

   Gao, Huang, Pei and Huang · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2020

   The paper proposes a structural pruning method that optimises discrete channel gates under a resource budget using the straight-through estimator, and reports results competitive with state-of-the-art methods on CIFAR-10 and ImageNet.

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   1. UncheckedThe authors' pruning method is said to ensure that the sub-network found during training matches the true sub-network that remains after pruning.“Thus, our method is able to ensure that the sub-network discovered within the training process reflects the true sub-network.”