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Types of Autoencoders

  • [AE]: Fully-connected autoencoder
  • [SparseAE]: Sparse autoencoder
  • [DeepAE]: Deep (fully-connected) autoencoder
  • [ConvAE]: Convolutional autoencoder
  • [UpconvAE]: Upconvolutional autoencoder - also known by several other names
  • [DenoisingAE]: Denoising (convolutional) autoencoder
  • [CAE]: Contractive autoencoder
  • [Seq2SeqAE]: Sequence-to-sequence autoencoder
  • [VAE]: Variational autoencoder
  • [CatVAE]: Categorical variational autoencoder
  • [AAE]: Adversarial autoencoder
  • [WTA-AE]: Winner-take-all autoencoder

Variants of Variational Autoencoder

Name Paper Link Loss Function
VAE Arxiv
CVAE Arxiv
DVAE Arxiv (to be added)
AAE Arxiv (to be added)

Variants of VAE structure


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Maintainer

Gopala KR / @gopala-kr


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implementations of various types of auto-encoders in tensorflow(in progress)

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