Statements (17)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
regularization technique
|
| gptkbp:appliesTo |
convolutional neural networks
recurrent neural networks |
| gptkbp:basedOn |
concrete distribution
|
| gptkbp:citation |
gptkb:Concrete_Dropout
|
| gptkbp:enables |
learnable dropout rates
|
| https://www.w3.org/2000/01/rdf-schema#label |
Concrete Dropout
|
| gptkbp:improves |
uncertainty estimation
|
| gptkbp:proposedBy |
gptkb:Yarin_Gal
gptkb:Alex_Kendall Jiri Hron |
| gptkbp:publishedIn |
gptkb:ICML_2017
|
| gptkbp:relatedTo |
dropout
Bayesian neural networks |
| gptkbp:usedIn |
deep learning
|
| gptkbp:bfsParent |
gptkb:NeurIPS_2016
|
| gptkbp:bfsLayer |
6
|