Yoel Zeldes • 4/1/2019

Mixture of Variational Autoencoders - a Fusion Between MoE and VAE

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This technical article proposes a novel architecture that fuses Mixture of Experts (MoE) with Variational Autoencoders (VAE). It explores how to achieve label-free conditional generation (e.g., generating specific MNIST digits) by using a manager network to route inputs to specialized VAE 'experts', all trained in an entirely unsupervised manner.

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#Neural Networks #Unsupervised Learning #Mixture Of Experts
Mixture of Variational Autoencoders - a Fusion Between MoE and VAE

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