Statements (29)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
gptkb:convolutional_neural_network |
| gptkbp:addsParameter |
beta
|
| gptkbp:amendedBy |
VAE objective function
|
| gptkbp:author |
gptkb:Xavier_Glorot
gptkb:Matthew_Botvinick gptkb:Shakir_Mohamed gptkb:Christopher_Burgess Irina Higgins Alexander Lerchner Arka Pal Loic Matthey |
| gptkbp:betaControls |
disentanglement strength
|
| gptkbp:citation |
2017
beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework |
| https://www.w3.org/2000/01/rdf-schema#label |
beta-VAE
|
| gptkbp:implementedIn |
gptkb:Python
gptkb:TensorFlow gptkb:PyTorch |
| gptkbp:introduced |
Irina Higgins
|
| gptkbp:introducedIn |
2017
|
| gptkbp:publishedIn |
gptkb:International_Conference_on_Learning_Representations_(ICLR)
|
| gptkbp:relatedTo |
gptkb:VAE
deep learning disentangled representations |
| gptkbp:usedFor |
unsupervised learning
representation learning |
| gptkbp:bfsParent |
gptkb:Variational_autoencoder
|
| gptkbp:bfsLayer |
6
|