Stimulative Training++ : Go Beyond The Performance Limits of Residual Networks
Residual networks have shown great success and become indispensable in recent deep neural network models. In this work, we aim to re-investigate the training process of residual networks from a novel perspective of loafing, and further propose a new training scheme as well as three improved strategi...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 07. Apr.
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| Auteur principal: |
Ye, Peng
(Auteur) |
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| Autres auteurs: |
He, Tong,
Tang, Shengji,
Li, Baopu,
Chen, Tao,
Bai, Lei,
Ouyang, Wanli |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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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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