Machine learningDeep learning / NLP / CV
半监督多层感知机
半监督多层感知机（SSL-MLP）是一种前馈神经网络，它在少量标记样本和大量未标记样本的集合上进行训练。通过将标记数据上的监督交叉熵损失与未标记数据上的无监督一致性或伪标签目标相结合，它能从数据中提取比仅使用标记的纯监督MLP多得多的信号。
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来源
- Chapelle, O., Scholkopf, B. & Zien, A. (Eds.) (2006). Semi-Supervised Learning. MIT Press. ISBN: 978-0-262-03358-9
- Lee, D.-H. (2013). Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks. ICML 2013 Workshop on Challenges in Representation Learning. link ↗
如何引用本页
ScholarGate. (2026, June 3). Semi-supervised Multilayer Perceptron (SSL-MLP). ScholarGate. https://scholargate.app/zh/deep-learning/semi-supervised-multilayer-perceptron
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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