Aaron Courville
Aaron Courville
Professor, DIRO, Université de Montréal, Mila, Cifar CAI chair
Verified email at - Homepage
Cited by
Cited by
Generative adversarial nets
I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ...
Advances in neural information processing systems 27, 2014
Deep learning
IJ Goodfellow, Y Bengio, A Courville
Nature, 2016
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
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
Improved training of wasserstein gans
I Gulrajani, F Ahmed, M Arjovsky, V Dumoulin, AC Courville
Advances in neural information processing systems 30, 2017
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
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
Maxout networks
I Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio
International conference on machine learning, 1319-1327, 2013
Estimating or propagating gradients through stochastic neurons for conditional computation
Y Bengio, N Léonard, A Courville
arXiv preprint arXiv:1308.3432, 2013
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
Challenges in representation learning: A report on three machine learning contests
IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ...
Neural information processing: 20th international conference, ICONIP 2013 …, 2013
A closer look at memorization in deep networks
D Arpit, S Jastrzêbski, N Ballas, D Krueger, E Bengio, MS Kanwal, ...
International conference on machine learning, 233-242, 2017
Film: Visual reasoning with a general conditioning layer
E Perez, F Strub, H De Vries, V Dumoulin, A Courville
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Adversarially learned inference
V Dumoulin, I Belghazi, B Poole, O Mastropietro, A Lamb, M Arjovsky, ...
International Conference on Learning Representations (ICLR) 2017, 2016
Visualizing higher-layer features of a deep network
D Erhan, Y Bengio, A Courville, P Vincent
University of Montreal 1341 (3), 1, 2009
A recurrent latent variable model for sequential data
J Chung, K Kastner, L Dinh, K Goel, AC Courville, Y Bengio
Advances in neural information processing systems 28, 2015
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
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
Mutual information neural estimation
MI Belghazi, A Baratin, S Rajeshwar, S Ozair, Y Bengio, A Courville, ...
International conference on machine learning, 531-540, 2018
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
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