Boosting Data Augmentation with Stochastic Weight Averaging
Stochastic weight averaging applied to classification as an alternative ensembling technique that does not require repeated training runs and provides an equivariance boost that goes beyond what could be expected from the performance increase due to SWA alone.
Longde Huang, Axel Flinth, Jan E. Gerken
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