Wasserstein GAN (Arjovsky et al., 2017)

GPTKB entity

Predicate	Object
gptkbp:instanceOf	generative adversarial network architecture
gptkbp:alsoKnownAs	gptkb:WGAN
gptkbp:application	image generation data synthesis
gptkbp:citation	thousands of research papers
gptkbp:contribution	addresses mode collapse in GANs improves training stability of GANs uses Wasserstein distance as loss function
gptkbp:enforcesLipschitz	weight clipping
gptkbp:field	gptkb:machine_learning deep learning
https://www.w3.org/2000/01/rdf-schema#label	Wasserstein GAN (Arjovsky et al., 2017)
gptkbp:influenced	gptkb:WGAN-GP improved GAN architectures
gptkbp:introduced	gptkb:Léon_Bottou gptkb:Soumith_Chintala gptkb:Martin_Arjovsky
gptkbp:lossFunction	gptkb:Wasserstein-1_distance gptkb:Earth_Mover's_Distance
gptkbp:openSource	gptkb:TensorFlow gptkb:PyTorch
gptkbp:publicationYear	2017
gptkbp:publishedIn	arXiv preprint arXiv:1701.07875
gptkbp:relatedTo	gptkb:DCGAN gptkb:Generative_Adversarial_Networks gptkb:WGAN-GP
gptkbp:requires	Lipschitz continuity of discriminator
gptkbp:bfsParent	gptkb:generative_adversarial_networks
gptkbp:bfsLayer	5