%0 Conference Paper %1 Chung2014 %A Chung, Junyoung %A Gülcehre, Caglar %A Cho, KyungHyun %A Bengio, Yoshua %B NIPS Deep Learning Workshop %D 2014 %K deeplearning %T Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling %U http://arxiv.org/abs/1412.3555

@inproceedings{Chung2014, added-at = {2018-05-08T08:13:20.000+0200}, archiveprefix = {arXiv}, author = {Chung, Junyoung and G{\"{u}}l{\c{c}}ehre, {\c{C}}aglar and Cho, KyungHyun and Bengio, Yoshua}, bibsource = {dblp computer science bibliography, https://dblp.org}, biburl = {https://www.bibsonomy.org/bibtex/213d94c440a665dfa66285d8b7f4f2c9a/sidbrahma}, booktitle = {NIPS Deep Learning Workshop}, eprint = {1412.3555}, interhash = {cfd1e567ec87284aaefc4e4cf43a1c2b}, intrahash = {13d94c440a665dfa66285d8b7f4f2c9a}, keywords = {deeplearning}, timestamp = {2018-05-08T08:13:20.000+0200}, title = {Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling}, url = {http://arxiv.org/abs/1412.3555}, year = 2014 }