Yann N. Dauphin
Yann N. Dauphin
Facebook AI Research
Verified email at dauphin.io - Homepage
TitleCited byYear
Convolutional sequence to sequence learning
J Gehring, M Auli, D Grangier, D Yarats, YN Dauphin
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
8532017
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
YN Dauphin, R Pascanu, C Gulcehre, K Cho, S Ganguli, Y Bengio
Advances in neural information processing systems, 2933-2941, 2014
7332014
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 2016
4152016
Language modeling with gated convolutional networks
YN Dauphin, A Fan, M Auli, D Grangier
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
4052017
Using recurrent neural networks for slot filling in spoken language understanding
G Mesnil, Y Dauphin, K Yao, Y Bengio, L Deng, D Hakkani-Tur, X He, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (3), 530-539, 2014
2962014
mixup: Beyond empirical risk minimization
H Zhang, M Cisse, YN Dauphin, D Lopez-Paz
arXiv preprint arXiv:1710.09412, 2017
2802017
Equilibrated adaptive learning rates for non-convex optimization
Y Dauphin, H De Vries, Y Bengio
Advances in neural information processing systems, 1504-1512, 2015
2222015
Combining modality specific deep neural networks for emotion recognition in video
SE Kahou, C Pal, X Bouthillier, P Froumenty, Ç Gülçehre, R Memisevic, ...
Proceedings of the 15th ACM on International conference on multimodal …, 2013
2102013
The manifold tangent classifier
S Rifai, YN Dauphin, P Vincent, Y Bengio, X Muller
Advances in neural information processing systems, 2294-2302, 2011
1942011
Emonets: Multimodal deep learning approaches for emotion recognition in video
SE Kahou, X Bouthillier, P Lamblin, C Gulcehre, V Michalski, K Konda, ...
Journal on Multimodal User Interfaces 10 (2), 99-111, 2016
1922016
Parseval networks: Improving robustness to adversarial examples
M Cisse, P Bojanowski, E Grave, Y Dauphin, N Usunier
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
1912017
Better mixing via deep representations
Y Bengio, G Mesnil, Y Dauphin, S Rifai
International conference on machine learning, 552-560, 2013
1792013
Unsupervised and transfer learning challenge: a deep learning approach
G Mesnil, Y Dauphin, X Glorot, S Rifai, Y Bengio, I Goodfellow, E Lavoie, ...
Proceedings of the 2011 International Conference on Unsupervised and …, 2011
1582011
Higher order contractive auto-encoder
S Rifai, G Mesnil, P Vincent, X Muller, Y Bengio, Y Dauphin, X Glorot
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
1402011
A convolutional encoder model for neural machine translation
J Gehring, M Auli, D Grangier, YN Dauphin
arXiv preprint arXiv:1611.02344, 2016
1342016
Theano: A Python framework for fast computation of mathematical expressions
TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ...
arXiv preprint arXiv:1605.02688, 2016
1012016
Deal or no deal? end-to-end learning for negotiation dialogues
M Lewis, D Yarats, YN Dauphin, D Parikh, D Batra
arXiv preprint arXiv:1706.05125, 2017
922017
On the saddle point problem for non-convex optimization
R Pascanu, YN Dauphin, S Ganguli, Y Bengio
arXiv preprint arXiv:1405.4604, 2014
682014
Hierarchical neural story generation
A Fan, M Lewis, Y Dauphin
arXiv preprint arXiv:1805.04833, 2018
612018
Empirical analysis of the hessian of over-parametrized neural networks
L Sagun, U Evci, VU Guney, Y Dauphin, L Bottou
arXiv preprint arXiv:1706.04454, 2017
612017
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Articles 1–20