10 citations · 17 across the 3 of their papers we have counts for
3 papers
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information
Kaveena Persand, Andrew Anderson, David Gregg
Channel pruning is used to reduce the number of weights in a Convolutional Neural Network (CNN). Channel pruning removes slices of the weight tensor so that the convolution layer r…
Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle
Kaveena Persand, Andrew Anderson, David Gregg
The computation and memory needed for Convolutional Neural Network (CNN) inference can be reduced by pruning weights from the trained network. Pruning is guided by a pruning salien…
Taxonomy of Saliency Metrics for Channel Pruning
Kaveena Persand, Andrew Anderson, David Gregg
Pruning unimportant parameters can allow deep neural networks (DNNs) to reduce their heavy computation and memory requirements. A saliency metric estimates which parameters can be…