All publications

2010
James Bergstra and Yoshua Bengio, GPU Programming with Theano, {SHARCNET} Research Day, 2010
James Bergstra, Yoshua Bengio, Pascal Lamblin, Guillaume Desjardins and Jerome Louradour, Image classification with complex cell neural networks, in: Computational and systems neuroscience (COSYNE), Salt Lake City, 2010
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Pascal Lamblin and Yoshua Bengio, Important Gains from Supervised Fine-Tuning of Deep Architectures on Large Labeled Sets, NIPS'2010 Deep Learning and Unsupervised Feature Learning Workshop, 2010
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Philippe Hamel and Douglas Eck, Learning features from music audio with deep belief networks, in: Proceedings of the 11th {I}nternational {S}ociety for {M}usic {I}nformation {R}etrieval {C}onference ({ISMIR}), Utrecht, The Netherlands, pages 339--344, 2010
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Michael Mandel, Douglas Eck and Yoshua Bengio, Learning tags that vary within a song, in: In Proceedings of the 11th International Conference on Music Information Retrieval (ISMIR), pages 399--404, 2010
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James Bergstra, Michael Mandel and Douglas Eck, Scalable Genre and Tag Prediction with Spectral Covariance, in: Proceedings of the 11th {I}nternational {S}ociety for {M}usic {I}nformation {R}etrieval {C}onference ({ISMIR}), Utrecht, The Netherlands., pages 507--512, 2010
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Guillaume Desjardins, Aaron Courville, Yoshua Bengio, Pascal Vincent and Olivier Delalleau, Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machine, in: JMLR W\&CP: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), Chia Laguna Resort, Sardinia, Italy, pages 145--152, 2010
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Aaron Courville, James Bergstra and Yoshua Bengio, The Spike and Slab Restricted Boltzmann Machine, Deep Learning and Unsupervised Feature Learning Workshop, {NIPS}, 2010
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Xavier Glorot and Yoshua Bengio, Understanding the difficulty of training deep feedforward neural networks, in: JMLR W\&CP: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), Chia Laguna Resort, Sardinia, Italy, pages 249-256, 2010
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Olivier Breuleux, Yoshua Bengio and Pascal Vincent, Unlearning for Better Mixing, Université de Montréal/DIRO, number 1349, 2010
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Dumitru Erhan, Aaron Courville, Yoshua Bengio and Pascal Vincent, Why Does Unsupervised Pre-training Help Deep Learning?, in: JMLR W\&CP: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), Chia Laguna Resort, Sardinia, Italy, pages 201-208, 2010
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Joseph Turian, Lev Ratinov and Yoshua Bengio, Word representations: A simple and general method for semi-supervised learning, in: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics(ACL2010), Uppsala, Sweden, pages 384--394, Association for Computational Linguistics, 2010
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2009
Julie Carreau and Yoshua Bengio, A Hybrid Pareto Mixture for Conditional Asymmetric Fat-Tailed Distribution (2009), in: IEEE Transactions on Neural Networks, 20:7(1087--1101)
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