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Feb, 2020
迁移学习中目标数据的价值
On the Value of Target Data in Transfer Learning
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Steve Hanneke, Samory Kpotufe
TL;DR
研究如何在迁移学习中最小化取样成本,并建立了源数据和目标数据样本大小的最小最大速率,并展示了性能限制是通过源与目标之间的不一致性捕捉的,我们称之为转移指数。
Abstract
We aim to understand the value of additional labeled or unlabeled
target data
in
transfer learning
, for any given amount of
source data
; t
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