Statements (25)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
arXiv preprint
|
| gptkbp:allows |
This paper introduces generative adversarial networks (GANs), a new framework for estimating generative models via an adversarial process.
|
| gptkbp:arXiv_identifier |
gptkb:arXiv:1409.1556
|
| gptkbp:author |
gptkb:Aaron_Courville
gptkb:Yoshua_Bengio gptkb:Bing_Xu gptkb:Jean_Pouget-Abadie gptkb:Mehdi_Mirza gptkb:Sherjil_Ozair gptkb:Ian_J._Goodfellow gptkb:David_Warde-Farley |
| gptkbp:citation |
thousands of papers
|
| gptkbp:date_submitted |
2014-09-27
|
| https://www.w3.org/2000/01/rdf-schema#label |
1409.1556
|
| gptkbp:influential_for |
gptkb:GANs
deep learning generative models |
| gptkbp:language |
English
|
| gptkbp:pdf_url |
https://arxiv.org/pdf/1409.1556
|
| gptkbp:publishedIn |
gptkb:arXiv
|
| gptkbp:subjectArea |
gptkb:Machine_Learning
gptkb:artificial_intelligence |
| gptkbp:title |
gptkb:Generative_Adversarial_Nets
|
| gptkbp:bfsParent |
gptkb:VGGNet
|
| gptkbp:bfsLayer |
6
|