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Nov, 2016
无限变分自编码器用于半监督学习
Infinite Variational Autoencoder for Semi-Supervised Learning
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Ehsan Abbasnejad, Anthony Dick, Anton van den Hengel
TL;DR
本文提出了一种基于混合模型和狄利克雷过程的无限变分自编码器,其容量能够适应输入数据,从而使得自动编码器数量能够根据数据自动变化,实验结果表明该方法在半监督学习中具有很高的灵活性。
Abstract
This paper presents an
infinite variational autoencoder
(VAE) whose capacity adapts to suit the input data. This is achieved using a
mixture model
where the mixing coefficients are modeled by a
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