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Apr, 2023
深度抗正则化集成提供可靠的外部分布不确定性量化
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
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Antoine de Mathelin, Francois Deheeger, Mathilde Mougeot, Nicolas Vayatis
TL;DR
本文提出了一种使用反正则化和控制过程的方法,来解决深度集成网络中的过度自信估计问题,该方法不需要任何超参数校准,并在回归和分类设置中得到了验证。
Abstract
We consider the problem of
uncertainty quantification
in high dimensional
regression and classification
for which
deep ensemble
have prove
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