Bayesian Semisupervised Learning with Deep Generative Models

29 Jun 2017Jonathan GordonJosé Miguel Hernández-Lobato

Neural network based generative models with discriminative components are a powerful approach for semi-supervised learning. However, these techniques a) cannot account for model uncertainty in the estimation of the model's discriminative component and b) lack flexibility to capture complex stochastic patterns in the label generation process... (read more)

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