Boosting sharpness-aware training with dynamic neighborhood

Learning algorithms motivated by minimizing the sharpness of loss surface is a hot research topic in improving generalization. The existing methods usually solve a constrained min–max problem to minimize sharpness and find flat minima. However, most constraints (i.e., the neighborhood of the sharpne...

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Veröffentlicht in:	Pattern recognition Jg. 153; S. 110496
Hauptverfasser:	Chen, Junhong, Li, Hong, Chen, C.L. Philip
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2024
Schlagworte:	Flat minima Generalization Optimization Sharpness-aware minimization Generalization Sharpness-aware minimization Optimization Flat minima
ISSN:	0031-3203, 1873-5142
Online-Zugang:	Volltext
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