Denoising Criterion for Variational Auto-Encoding Framework

AAAI, pp. 2059-2065, 2017.

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Abstract:

Denoising autoencoders (DAE) are trained to reconstruct their clean inputs with noise injected at the input level, while variational autoencoders (VAE) are trained with noise injected in their stochastic hidden layer, with a regularizer that encourages this noise injection. In this paper, we show that injecting noise both in input and i...More

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