Keywords:
Publications of Dumitru Erhan
2011
| , , , , , , , , , , , , , , , and , Deep Learners Benefit More from Out-of-Distribution Examples, in: JMLR W\&CP: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2011), Fort Lauderdale, FL, USA, 2011 |
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2010
| , , , , , , , , and , Deep Learning on GPUs with Theano, 2010 |
| , , , , , , , , , , , , , , , and , Deep Self-Taught Learning for Handwritten Character Recognition, University of Montréal, number 1353, 2010 |
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| , Understanding deep architectures and the effect of unsupervised pre-training, Université de Montréal, 2010 |
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| , and , Understanding Representations Learned in Deep Architectures, Université de Montréal/DIRO, number 1355, 2010 |
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| , , , , and , Why Does Unsupervised Pre-training Help Deep Learning? (2010), in: Journal of Machine Learning Research, 11(625--660) |
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| , , and , 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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2009
| , and , Deep Learning using Robust Interdependent Codes, in: Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS 2009), Clearwater (Florida), USA, pages 312--319, 2009 |
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| , , , and , The Difficulty of Training Deep Architectures and the effect of Unsupervised Pre-Training, in: Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS 2009), Clearwater (Florida), USA, pages 153--160, 2009 |
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| , , and , Visualizing Higher-Layer Features of a Deep Network, University of Montreal, number 1341, 2009 |
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2008
| , and , Zero-data Learning of New Tasks, in: AAAI Conference on Artificial Intelligence, 2008 |
[URL] |
2007
| , , , and , An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation, in: Proceedings of the 24th International Conference on Machine Learning (ICML'07), Corvallis, OR, pages 473--480, ACM, 2007 |
[DOI] [URL] |
| , and , Generalization to a zero-data task: an empirical study, Talk and poster presented at the Learning Workshop(Snowbird), San Juan, Puerto Rico, 2007, 2007 |
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2006
| , , , and , Aggregate Features and AdaBoost for Music Classification (2006), in: Machine Learning, 65(473--484) |
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| , , and , Collaborative Filtering on a Family of Biological Targets (2006), in: J. Chem. Inf. Model., 46:2(626--635) |
[URL] |
| , Collaborative filtering techniques for drug discovery, Université de Montréal, 2006 |
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| , , and , Generalizing to a Zero-Data Task: a Computational Chemistry Case Study, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1286, 2006 |
[URL] |
