Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
gptkb:convolutional_neural_network |
| gptkbp:aimsTo |
learn disentangled representations
|
| gptkbp:application |
image generation
semi-supervised learning transfer learning interpretability fairness in AI |
| gptkbp:basedOn |
gptkb:convolutional_neural_network
|
| https://www.w3.org/2000/01/rdf-schema#label |
disentangled VAE
|
| gptkbp:introducedIn |
2017
|
| gptkbp:notableVariant |
gptkb:beta-VAE
DIP-VAE FactorVAE InfoVAE TCVAE |
| gptkbp:objective |
separate latent factors of variation
|
| gptkbp:relatedTo |
deep learning
generative models |
| gptkbp:usedIn |
unsupervised learning
representation learning |
| gptkbp:bfsParent |
gptkb:Variational_autoencoder
|
| gptkbp:bfsLayer |
6
|