Nerd For Tech
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Nerd For Tech

Sik-Ho Tsang

Apr 24, 2021

6 min read

Review — AAE: Adversarial Autoencoders (GAN)

GAN Combined With Autoencoder

Outline

1. AAE: Network Architecture

AAE: Network Architecture (+: Positive Samples, -: Negative Samples)

2. AAE vs VAE

AAE vs VAE on MNIST

3. Supervised AAE

Supervised AAE

4. Semi-Supervised AAE

Semi-Supervised AAE
Semi-supervised classification performance (error-rate) on MNIST and SVHN

5. Unsupervised AAE

Unsupervised clustering of MNIST using the AAE with 16 clusters
Unsupervised clustering performance (error-rate) of the AAE on MNIST

6. Dimension Reduction for Data Visualization Using AAE

Dimensionality reduction with adversarial autoencoders
Semi-Supervised and Unsupervised Dimensionality Reduction with AAE on MNIST.

Reference

Generative Adversarial Network (GAN)

My Other Previous Paper Readings