Statements (25)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:abbreviation |
gptkb:WGAN
|
| gptkbp:application |
image generation
unsupervised learning data synthesis |
| gptkbp:enforcesLipschitz |
weight clipping
|
| gptkbp:field |
gptkb:artificial_intelligence
gptkb:machine_learning |
| gptkbp:improves |
gptkb:GAN
|
| gptkbp:inspiredBy |
gptkb:WGAN-GP
|
| gptkbp:introduced |
gptkb:Léon_Bottou
gptkb:Soumith_Chintala gptkb:Martin_Arjovsky gptkb:Wasserstein_GAN_(arXiv:1701.07875) |
| gptkbp:notableFeature |
improved training stability
meaningful loss metric |
| gptkbp:publicationYear |
2017
|
| gptkbp:relatedTo |
gptkb:convolutional_neural_network
gptkb:Deep_Convolutional_GAN gptkb:WGAN-GP |
| gptkbp:requires |
Lipschitz continuity
|
| gptkbp:usesDistanceMetric |
Wasserstein distance
|
| gptkbp:bfsParent |
gptkb:generative_adversarial_networks
|
| gptkbp:bfsLayer |
5
|
| https://www.w3.org/2000/01/rdf-schema#label |
Wasserstein GAN
|