Xavier Bouthillier
Xavier Bouthillier
Adresse e-mail validée de umontreal.ca
Citée par
Citée par
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv, arXiv: 1605.02688, 2016
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
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
Dropout as data augmentation
X Bouthillier, K Konda, P Vincent, R Memisevic
arXiv preprint arXiv:1506.08700, 2015
Efficient exact gradient update for training deep networks with very large sparse targets
P Vincent, A De Brébisson, X Bouthillier
Advances in Neural Information Processing Systems 28, 1108-1116, 2015
Fast approximate natural gradient descent in a kronecker factored eigenbasis
T George, C Laurent, X Bouthillier, N Ballas, P Vincent
Advances in Neural Information Processing Systems 31, 9550-9560, 2018
Unreproducible research is reproducible
X Bouthillier, C Laurent, P Vincent
International Conference on Machine Learning, 725-734, 2019
Survey of machine-learning experimental methods at NeurIPS2019 and ICLR2020
X Bouthillier, G Varoquaux
Inria Saclay Ile de France, 2020
Orıon: Asynchronous Distributed Hyperparameter Optimization
X Bouthillier, C Tsirigotis, F Corneau-Tremblay, P Delaunay, ...
An evaluation of fisher approximations beyond kronecker factorization
C Laurent, T George, X Bouthillier, N Ballas, P Vincent
Improved Deep Learning Workflows Through Hyperparameter Optimization with Oríon
X Bouthillier
Improving Reproducibility of Benchmarks
X Bouthillier
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