BriefGPT.xyz
Mar, 2017
导师越严格,表现越优秀:加权一致性目标提升半监督深度学习结果
Weight-averaged consistency targets improve semi-supervised deep learning results
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Antti Tarvainen, Harri Valpola
TL;DR
Mean Teacher是一种半监督学习方法,通过平均模型权重来稳定预测结果,在一些数据集上表现优于Temporal Ensembling,并能够显著减少所需的标签量。
Abstract
The recently proposed
temporal ensembling
has achieved state-of-the-art results in several
semi-supervised learning
benchmarks. It maintains an exponential moving average of label predictions on each training exa
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