BriefGPT.xyz
Jun, 2020
基于标签知识的分布对齐连续迁移学习
Continuous Transfer Learning with Label-informed Distribution Alignment
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Jun Wu, Jingrui He
TL;DR
本文提出了一种名为TransLATE的通用对抗自编码器框架,通过最小化连续时间戳之间的潜在特征空间中目标域的分类误差和C-散度来建模具有时间演变目标域的连续转移学习设置。
Abstract
transfer learning
has been successfully applied across many high-impact applications. However, most existing work focuses on the static
transfer learning
setting, and very little is devoted to modeling the
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