Denoising autoencoder with modulated lateral connections learns invariant representations of natural images

International Conference on Learning Representations, 2014.

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Abstract:

Suitable lateral connections between encoder and decoder are shown to allow higher layers of a denoising autoencoder (dAE) to focus on invariant representations. In regular autoencoders, detailed information needs to be carried through the highest layers but lateral connections from encoder to decoder relieve this pressure. It is shown ...More

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