f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
GPTKB entity
Statements (19)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:arXivID |
1606.00709
|
| gptkbp:author |
gptkb:Botond_Cseke
gptkb:Ryota_Tomioka gptkb:Sebastian_Nowozin |
| gptkbp:citation |
over 2000
|
| gptkbp:contribution |
generalizes GANs to arbitrary f-divergences
|
| gptkbp:field |
gptkb:machine_learning
gptkb:generative_adversarial_networks |
| https://www.w3.org/2000/01/rdf-schema#label |
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
|
| gptkbp:method |
variational divergence minimization
|
| gptkbp:proposedBy |
gptkb:f-GAN_framework
|
| gptkbp:publicationYear |
2016
|
| gptkbp:publishedIn |
gptkb:NeurIPS
|
| gptkbp:relatedTo |
gptkb:f-divergence
gptkb:Generative_Adversarial_Networks |
| gptkbp:url |
https://arxiv.org/abs/1606.00709
|
| gptkbp:bfsParent |
gptkb:Ishmael_Belghazi
|
| gptkbp:bfsLayer |
6
|