Taxonomy of Saliency Metrics for Channel Pruning
Pruning unimportant parameters can allow deep neural networks (DNNs) to reduce their heavy computation and memory requirements. A <italic>saliency metric</italic> estimates which parameters can be safely pruned with little impact on the classification performance of the DNN. Many salienc...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9524570/ |