Aaron Courville
Aaron Courville
Université de Montréal
Adresse e-mail validée de umontreal.ca - Page d'accueil
Titre
Citée par
Citée par
Année
Generative adversarial networks
IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ...
arXiv preprint arXiv:1406.2661, 2014
273602014
Deep learning
IJ Goodfellow, Y Bengio, A Courville
Nature, 2016
237992016
Representation learning: A review and new perspectives
Y Bengio, A Courville, P Vincent
IEEE transactions on pattern analysis and machine intelligence 35 (8), 1798-1828, 2013
82662013
Show, attend and tell: Neural image caption generation with visual attention
K Xu, J Ba, R Kiros, A Courville, R Salakhutdinov, R Zemel, Y Bengio
Proceeding of the International Conference on Machine Learning (arXiv …, 2015
64822015
Improved training of wasserstein gans
I Gulrajani, F Ahmed, M Arjovsky, V Dumoulin, A Courville
arXiv preprint arXiv:1704.00028, 2017
41652017
Why does unsupervised pre-training help deep learning?
D Erhan, A Courville, Y Bengio, P Vincent
Proceedings of the thirteenth international conference on artificial …, 2010
24402010
Maxout networks
I Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio
International conference on machine learning, 1319-1327, 2013
22992013
Brain tumor segmentation with deep neural networks
M Havaei, A Davy, D Warde-Farley, A Biard, A Courville, Y Bengio, C Pal, ...
Medical image analysis 35, 18-31, 2017
17422017
Building end-to-end dialogue systems using generative hierarchical neural network models
I Serban, A Sordoni, Y Bengio, A Courville, J Pineau
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
1372*2016
An empirical evaluation of deep architectures on problems with many factors of variation
H Larochelle, D Erhan, A Courville, J Bergstra, Y Bengio
Proceedings of the 24th international conference on Machine learning, 473-480, 2007
10012007
Adversarially learned inference
V Dumoulin, I Belghazi, B Poole, O Mastropietro, A Lamb, M Arjovsky, ...
International Conference on Learning Representations (ICLR) 2016, 2016
9572016
Estimating or propagating gradients through stochastic neurons for conditional computation
Y Bengio, N Léonard, A Courville
arXiv preprint arXiv:1308.3432, 2013
9422013
Visualizing higher-layer features of a deep network
D Erhan, Y Bengio, A Courville, P Vincent
University of Montreal 1341 (3), 1, 2009
9042009
Describing videos by exploiting temporal structure
L Yao, A Torabi, K Cho, N Ballas, C Pal, H Larochelle, A Courville
Proceedings of the IEEE international conference on computer vision, 4507-4515, 2015
8732015
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv e-prints, arXiv: 1605.02688, 2016
747*2016
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
IV Serban, A Sordoni, R Lowe, L Charlin, J Pineau, A Courville, Y Bengio
7182017
A recurrent latent variable model for sequential data
J Chung, K Kastner, L Dinh, K Goel, A Courville, Y Bengio
arXiv preprint arXiv:1506.02216, 2015
6902015
Challenges in representation learning: A report on three machine learning contests
IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ...
International conference on neural information processing, 117-124, 2013
6482013
Machine learning basics
I Goodfellow, Y Bengio, A Courville
Deep learning 1, 98-164, 2016
5652016
An empirical investigation of catastrophic forgetting in gradient-based neural networks
IJ Goodfellow, M Mirza, D Xiao, A Courville, Y Bengio
arXiv preprint arXiv:1312.6211, 2013
5262013
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