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Feb, 2020
LEEP:评估学习表示可迁移性的新度量
LEEP: A New Measure to Evaluate Transferability of Learned Representations
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Cuong V. Nguyen, Tal Hassner, Cedric Archambeau, Matthias Seeger
TL;DR
介绍了一种新的测量方法,能够评估分类器学习的表示的可转移性,该方法称为LEEP,能够预测转移学习和元转移学习的性能和收敛速度。LEEP优于一些最近提出的可转移性指标,可以在从ImageNet到CIFAR100的转移学习中实现高达30%的准确性提升。
Abstract
We introduce a new measure to evaluate the
transferability
of
representations
learned by
classifiers
. Our measure, the Log Expected Empiri
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