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Results tagged with autoencoders
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user 221025
Feedforward neural networks trained to reconstruct their own input. Usually one of the hidden layers is a "bottleneck", leading to encoder->decoder interpretation.
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Are standard VAEs enough for most representation learning tasks?
Examples are normalizing flows for generative modeling [1], Wasserstein autoencoders [2] or back constrained Gaussian process latent variable models [3]. …
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