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Information-theoretic regularization for learning global features by sequential VAE
Authors:Akuzawa  Kei  Iwasawa  Yusuke  Matsuo  Yutaka
Affiliation:1.Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
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Abstract:Machine Learning - Sequential variational autoencoders (VAEs) with a global latent variable z have been studied for disentangling the global features of data, which is useful for several downstream...
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