Adversarial Variational Embedding for Robust Semi-supervised Learning

7 May 2019Xiang ZhangLina YaoFeng Yuan

Semi-supervised learning is sought for leveraging the unlabelled data when labelled data is difficult or expensive to acquire. Deep generative models (e.g., Variational Autoencoder (VAE)) and semisupervised Generative Adversarial Networks (GANs) have recently shown promising performance in semi-supervised classification for the excellent discriminative representing ability... (read more)

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