Learning Low-Precision Structured Subnetworks Using Joint Layerwise Channel Pruning and Uniform Quantization
Pruning and quantization are core techniques used to reduce the inference costs of deep neural networks. Among the state-of-the-art pruning techniques, magnitude-based pruning algorithms have demonstrated consistent success in the reduction of both weight and feature map complexity. However, we find...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
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MDPI AG
2022-08-01
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| Serier: | Applied Sciences |
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| Online adgang: | https://www.mdpi.com/2076-3417/12/15/7829 |
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