Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces
The great success of deep neural networks is built upon their over-parameterization, which smooths the optimization landscape without degrading the generalization ability. Despite the benefits of over-parameterization, a huge amount of parameters makes deep networks cumbersome in daily life applicat...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 2 vom: 15. Feb., Seite 1749-1765
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| 1. Verfasser: |
Fu, Yanwei
(VerfasserIn) |
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| Weitere Verfasser: |
Liu, Chen,
Li, Donghao,
Zhong, Zuyuan,
Sun, Xinwei,
Zeng, Jinshan,
Yao, Yuan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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