Lookaround Optimizer: \(k\) steps around, 1 step average
Weight Average (WA) is an active research topic due to its simplicity in ensembling deep networks and the effectiveness in promoting generalization. Existing weight average approaches, however, are often carried out along only one training trajectory in a post-hoc manner (i.e., the weights are avera...
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Veröffentlicht in: | arXiv.org 2023-11 |
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