Statements (26)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:application |
image generation
data synthesis |
| gptkbp:citation |
high
|
| gptkbp:contribution |
addresses mode collapse in GANs
improves training stability of GANs uses Wasserstein distance for training GANs |
| gptkbp:criticizedFor |
replaces discriminator with critic
|
| gptkbp:fullName |
Wasserstein Generative Adversarial Network
|
| https://www.w3.org/2000/01/rdf-schema#label |
WGAN
|
| gptkbp:influenced |
gptkb:WGAN-GP
improved training of GANs |
| gptkbp:introduced |
gptkb:Léon_Bottou
gptkb:Soumith_Chintala gptkb:Martin_Arjovsky |
| gptkbp:introducedIn |
2017
|
| gptkbp:lossFunction |
Wasserstein loss
|
| gptkbp:mainPaperTitle |
gptkb:Wasserstein_GAN
|
| gptkbp:mainPaperURL |
https://arxiv.org/abs/1701.07875
|
| gptkbp:publishedIn |
gptkb:arXiv
|
| gptkbp:relatedTo |
gptkb:DCGAN
gptkb:GAN gptkb:WGAN-GP |
| gptkbp:bfsParent |
gptkb:Wasserstein_GAN
gptkb:Wasserstein_GAN_(Arjovsky_et_al.,_2017) |
| gptkbp:bfsLayer |
6
|