MLPruner: pruning convolutional neural networks with automatic mask learning
In recent years, filter pruning has been recognized as an indispensable technique for mitigating the significant computational complexity and parameter burden associated with deep convolutional neural networks (CNNs). To date, existing methods are based on heuristically designed pruning metrics or i...
| Published in: | PeerJ Computer Science |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-08-01
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| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-3132.pdf |