Pseudo-Label：The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
这是一篇发表在 ICML 2013 的文章，作为半监督神经网络的一篇代表文章。【文章】【代码】文章中采用了pesudo-label的方法来作为无标签样本的伪标签。文章的主要想法是self-training，伪标签的确定也是通过有标记样本训练的神经网络，来对无标记的样本进行预测，选择出只选择对每个未标记的样本具有最大预测概率的类。 这个方法为什么会成功，文章中解释到：（1）低密度分离（2）熵要小，这
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相关文章
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