Пожалуйста, войдите в систему, чтобы принять участие в дискуссии (добавить собственные рецензию, или комментарий)
Цитировать эту публикацию
%0 Conference Paper
%1 conf/nips/LambHGCCB17
%A Lamb, Alex
%A Hjelm, R. Devon
%A Ganin, Yaroslav
%A Cohen, Joseph Paul
%A Courville, Aaron C.
%A Bengio, Yoshua
%B NIPS
%D 2017
%E Guyon, Isabelle
%E von Luxburg, Ulrike
%E Bengio, Samy
%E Wallach, Hanna M.
%E Fergus, Rob
%E Vishwanathan, S. V. N.
%E Garnett, Roman
%K dblp
%P 5089-5098
%T GibbsNet: Iterative Adversarial Inference for Deep Graphical Models.
%U http://dblp.uni-trier.de/db/conf/nips/nips2017.html#LambHGCCB17
@inproceedings{conf/nips/LambHGCCB17,
added-at = {2021-01-21T00:00:00.000+0100},
author = {Lamb, Alex and Hjelm, R. Devon and Ganin, Yaroslav and Cohen, Joseph Paul and Courville, Aaron C. and Bengio, Yoshua},
biburl = {https://www.bibsonomy.org/bibtex/24a2ae1450fb768c4d0079f83f5099fdb/dblp},
booktitle = {NIPS},
crossref = {conf/nips/2017},
editor = {Guyon, Isabelle and von Luxburg, Ulrike and Bengio, Samy and Wallach, Hanna M. and Fergus, Rob and Vishwanathan, S. V. N. and Garnett, Roman},
ee = {http://papers.nips.cc/paper/7094-gibbsnet-iterative-adversarial-inference-for-deep-graphical-models},
interhash = {dac14ea23bc61f86304fff6f02466c10},
intrahash = {4a2ae1450fb768c4d0079f83f5099fdb},
keywords = {dblp},
pages = {5089-5098},
timestamp = {2024-04-09T23:15:52.000+0200},
title = {GibbsNet: Iterative Adversarial Inference for Deep Graphical Models.},
url = {http://dblp.uni-trier.de/db/conf/nips/nips2017.html#LambHGCCB17},
year = 2017
}
