Communications of the ACM, volume 63, issue 11, pages 139-144
Generative adversarial networks
Ian Goodfellow
1
,
Jean Pouget-Abadie
2
,
Mehdi Mirza
2
,
Bing Xu
2
,
David Warde-Farley
2
,
Sherjil Ozair
2
,
Aaron Courville
2
,
YOSHUA BENGIO
2
Publication type: Journal Article
Publication date: 2020-10-22
Journal:
Communications of the ACM
scimago Q1
SJR: 2.957
CiteScore: 16.1
Impact factor: 11.1
ISSN: 00010782, 15577317
DOI:
10.1145/3422622
General Computer Science
Abstract
Generative adversarial networks are a kind of artificial intelligence algorithm designed to solve the generative modeling problem. The goal of a generative model is to study a collection of trainin...
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Cite this
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GOST
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Goodfellow I. et al. Generative adversarial networks // Communications of the ACM. 2020. Vol. 63. No. 11. pp. 139-144.
GOST all authors (up to 50)
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Goodfellow I., Pouget-Abadie J., Mirza M., Xu B., Warde-Farley D., Ozair S., Courville A., BENGIO Y. Generative adversarial networks // Communications of the ACM. 2020. Vol. 63. No. 11. pp. 139-144.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1145/3422622
UR - https://doi.org/10.1145/3422622
TI - Generative adversarial networks
T2 - Communications of the ACM
AU - Goodfellow, Ian
AU - Pouget-Abadie, Jean
AU - Mirza, Mehdi
AU - Xu, Bing
AU - Warde-Farley, David
AU - Ozair, Sherjil
AU - Courville, Aaron
AU - BENGIO, YOSHUA
PY - 2020
DA - 2020/10/22
PB - Association for Computing Machinery (ACM)
SP - 139-144
IS - 11
VL - 63
SN - 0001-0782
SN - 1557-7317
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2020_Goodfellow,
author = {Ian Goodfellow and Jean Pouget-Abadie and Mehdi Mirza and Bing Xu and David Warde-Farley and Sherjil Ozair and Aaron Courville and YOSHUA BENGIO},
title = {Generative adversarial networks},
journal = {Communications of the ACM},
year = {2020},
volume = {63},
publisher = {Association for Computing Machinery (ACM)},
month = {oct},
url = {https://doi.org/10.1145/3422622},
number = {11},
pages = {139--144},
doi = {10.1145/3422622}
}
Cite this
MLA
Copy
Goodfellow, Ian, et al. “Generative adversarial networks.” Communications of the ACM, vol. 63, no. 11, Oct. 2020, pp. 139-144. https://doi.org/10.1145/3422622.
Found error?
Found error?
Journal
scimago Q1
SJR
2.957
CiteScore
16.1
Impact factor
11.1
ISSN
00010782
(Print)
15577317
(Electronic)