Multi-adversarial Variational Autoencoder Networks

The unsupervised training of GANs and VAEs has enabled them to generate realistic images mimicking real-world distributions and perform unsupervised clustering or semi-supervised classification of images. Combining the power of these two generative models, we introduce a novel network architecture,...

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Vydané v:	2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) s. 777 - 782
Hlavní autori:	Imran, Abdullah-Al-Zubaer, Terzopoulos, Demetri
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2019
Predmet:	Computational modeling Data models Deep-generative-models Gallium nitride GANs Generators Image generation image-classification semi-supervised-learning Supervised learning Training VAEs
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