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Jun, 2018
无标签数据有多种一致的解释:为什么您应该平均
Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
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Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson
TL;DR
研究了半监督学习中的一种基于一致性正则化的方法,提出使用随机权重平均和快速随机权重平均来加速模型的训练,达到了最先进的结果
Abstract
Recent advances in deep unsupervised learning have renewed interest in semi-supervised methods, which can learn from both labeled and unlabeled data. Presently the most successful approaches to
semi-supervised learning
are based on
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