Theano: a CPU and GPU math expression compiler J Bergstra, O Breuleux, F Bastien, P Lamblin, R Pascanu, G Desjardins, ...
Proceedings of the Python for scientific computing conference (SciPy) 4 (3), 1-7, 2010
1852 2010 Overcoming catastrophic forgetting in neural networks J Kirkpatrick, R Pascanu, N Rabinowitz, J Veness, G Desjardins, AA Rusu, ...
Proceedings of the national academy of sciences 114 (13), 3521-3526, 2017
1714 2017 Progressive neural networks AA Rusu, NC Rabinowitz, G Desjardins, H Soyer, J Kirkpatrick, ...
arXiv preprint arXiv:1606.04671, 2016
941 2016 Theano: A CPU and GPU math compiler in Python J Bergstra, O Breuleux, F Bastien, P Lamblin, R Pascanu, G Desjardins, ...
Proc. 9th Python in Science Conf 1, 3-10, 2010
716 2010 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
615 2016 Understanding disentangling in CP Burgess, I Higgins, A Pal, L Matthey, N Watters, G Desjardins, ...
arXiv preprint arXiv:1804.03599, 2018
345 2018 Policy distillation AA Rusu, SG Colmenarejo, C Gulcehre, G Desjardins, J Kirkpatrick, ...
arXiv preprint arXiv:1511.06295, 2015
320 2015 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
294 2013 Theano: Deep learning on gpus with python J Bergstra, F Bastien, O Breuleux, P Lamblin, R Pascanu, O Delalleau, ...
NIPS 2011, BigLearning Workshop, Granada, Spain 3, 1-48, 2011
289 2011 Unsupervised and transfer learning challenge: a deep learning approach GMY Dauphin, X Glorot, S Rifai, Y Bengio, I Goodfellow, E Lavoie, ...
Proceedings of ICML Workshop on Unsupervised and Transfer Learning, 97-110, 2012
212 2012 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
161 2016 Natural neural networks G Desjardins, K Simonyan, R Pascanu, K Kavukcuoglu
arXiv preprint arXiv:1507.00210, 2015
154 2015 Tempered Markov chain Monte Carlo for training of restricted Boltzmann machines G Desjardins, A Courville, Y Bengio, P Vincent, O Delalleau
Proceedings of the thirteenth international conference on artificial …, 2010
125 2010 Parallel tempering for training of restricted Boltzmann machines G Desjardins, A Courville, Y Bengio, P Vincent, O Delalleau
Proceedings of the thirteenth international conference on artificial …, 2010
89 2010 Steerable Playlist Generation by Learning Song Similarity from Radio Station Playlists. F Maillet, D Eck, G Desjardins, P Lamere
ISMIR, 345-350, 2009
84 2009 Disentangling factors of variation via generative entangling G Desjardins, A Courville, Y Bengio
arXiv preprint arXiv:1210.5474, 2012
68 2012 Quadratic polynomials learn better image features J Bergstra, G Desjardins, P Lamblin, Y Bengio
Technical report, 1337, 2009
66 2009 Empirical evaluation of convolutional RBMs for vision G Desjardins, Y Bengio
DIRO, Université de Montréal, 1-13, 2008
64 2008 Adaptive parallel tempering for stochastic maximum likelihood learning of RBMs G Desjardins, A Courville, Y Bengio
arXiv preprint arXiv:1012.3476, 2010
36 2010 The spike-and-slab RBM and extensions to discrete and sparse data distributions A Courville, G Desjardins, J Bergstra, Y Bengio
IEEE transactions on pattern analysis and machine intelligence 36 (9), 1874-1887, 2013
32 2013 