1xN Pattern for Pruning Convolutional Neural Networks
Though network pruning receives popularity in reducing the complexity of convolutional neural networks (CNNs), it remains an open issue to concurrently maintain model accuracy as well as achieve significant speedups on general CPUs. In this paper, we propose a novel 1×N pruning pattern to break this...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 4 vom: 23. Apr., Seite 3999-4008
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| Auteur principal: |
Lin, Mingbao
(Auteur) |
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| Autres auteurs: |
Zhang, Yuxin,
Li, Yuchao,
Chen, Bohong,
Chao, Fei,
Wang, Mengdi,
Li, Shen,
Tian, Yonghong,
Ji, Rongrong |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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