LocalDrop : A Hybrid Regularization for Deep Neural Networks
In neural networks, developing regularization algorithms to settle overfitting is one of the major study areas. We propose a new approach for the regularization of neural networks by the local Rademacher complexity called LocalDrop. A new regularization function for both fully-connected networks (FC...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 7 vom: 23. Juli, Seite 3590-3601
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| 1. Verfasser: |
Lu, Ziqing
(VerfasserIn) |
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| Weitere Verfasser: |
Xu, Chang,
Du, Bo,
Ishida, Takashi,
Zhang, Lefei,
Sugiyama, Masashi |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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