Semi-Supervised Learning with Generative Adversarial Network (SSL-GAN)
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- Attention Mechanism ... Transformer ... Generative Pre-trained Transformer (GPT) ... GAN ... BERT
- Supervised Learning ... Semi-Supervised ... Self-Supervised ... Unsupervised
- Context-Conditional Generative Adversarial Network (CC-GAN) ... Context
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- Imitation Learning (IL): Conditional Adversarial Latent Model (CALM)
Extending Generative Adversarial Networks (GANs) to the semi-supervised context by forcing the discriminator network to output class labels. We train a generative model G and a discriminator D on a dataset with inputs belonging to one of N classes. At training time, D is made to predict which of N+1 classes the input belongs to, where an extra class is added to correspond to the outputs of G. We show that this method can be used to create a more data-efficient classifier and that it allows for generating higher quality samples than a regular GAN. Semi-Supervised Learning with Generative Adversarial Networks | Augustus Odena
