Auto-Encoding Variational Bayes
GPTKB entity
Statements (22)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:application |
unsupervised learning
generative modeling representation learning |
| gptkbp:arXivID |
1312.6114
|
| gptkbp:author |
gptkb:Diederik_P._Kingma
gptkb:Max_Welling |
| gptkbp:citation |
highly cited
|
| gptkbp:field |
gptkb:machine_learning
deep learning variational inference |
| https://www.w3.org/2000/01/rdf-schema#label |
Auto-Encoding Variational Bayes
|
| gptkbp:influenced |
generative models research
|
| gptkbp:language |
English
|
| gptkbp:method |
gptkb:stochastic_gradient_variational_Bayes
reparameterization trick |
| gptkbp:proposedBy |
gptkb:Variational_Autoencoder
|
| gptkbp:publicationYear |
2014
|
| gptkbp:publishedIn |
gptkb:International_Conference_on_Learning_Representations
|
| gptkbp:url |
https://arxiv.org/abs/1312.6114
|
| gptkbp:bfsParent |
gptkb:convolutional_neural_network
|
| gptkbp:bfsLayer |
5
|