All publications
| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-515 |
2012
| , and , Learning Algorithms for the Classification Restricted Boltzmann Machine (2012), in: Journal of Machine Learning Research |
| and , Random Search for Hyper-Parameter Optimization (2012), in: Journal of Machine Learning Research |
2011
| , , , and , A Common GPU n-Dimensional Array for Python and C, in: Big Learn workshop, NIPS'11, 2011 |
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| , A Connection between Score Matching and Denoising Autoencoders (2011), in: Neural Computation, 23:7(1661-1674) |
| , , , and , A High-Order Feature Synthesis and Selection Algorithm Applied to Insurance Risk Modelling (2011), in: International Journal of Business Intelligence and Data Mining, 6:3(237 - 258) |
| and , A neurodynamical model for working memory (2011), in: Neural Networks, 24:2(199-207) |
| , and , A Spike and Slab RBM Approach to Modeling Natural Images, The Learning Workshop, Fort Lauderdale, FL., 2011 |
| , and , A Spike and Slab Restricted Boltzmann Machine, in: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011 |
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| and , Adaptive Drift-Diffusion Process to Learn Time Intervals, University of Montreal, 2011 |
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| , , and , Adding noise to the input of a model trained with a regularized objective, Université de Montréal, number 1359, 2011 |
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| , , and , Algorithms for Hyper-Parameter Optimization, in: NIPS'2011, 2011 |
| , , , and , Contracting Auto-Encoders: Explicit invariance during feature extraction, in: Proceedings of the Twenty-eight International Conference on Machine Learning (ICML'11), 2011 |
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| , , , , , , , , , , , , , , , 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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| , Deep Learning of Representations for Unsupervised and Transfer Learning, in: Proceedings of the Unsupervised and Transfer Learning challenge and workshop, 2011 |
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| , and , Deep Sparse Rectifier Neural Networks, in: JMLR W\&CP: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2011), 2011 |
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| , , , and , Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine (2011), in: Computational Intelligence |
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| , and , Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach, in: Proceedings of the Twenty-eight International Conference on Machine Learning (ICML'11), 2011 |
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| , , , , , and , Higher Order Contractive Auto-Encoder, in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2011 |
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| , Incorporating Complex Cells into Neural Networks for Pattern Classification, Universit{'e} de Montr{'e}al, 2011 |
[URL] |
| , , , , and , Learning invariant features through local space contraction, Université de Montréal - DIRO - LISA, number 1360, 2011 |
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| , , and , Learning Structured Embeddings of Knowledge Bases, in: AAAI 2011, 2011 |
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| , and , Multi-Tasking with Joint Semantic Spaces for Large-Scale Music Annotation and Retrieval (2011), in: Journal of New Music Research |
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| and , On the Expressive Power of Deep Architectures, in: Proceedings of the 22nd International Conference on Algorithmic Learning Theory, 2011 |
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| , and , On Tracking The Partition Function, in: NIPS'2011, 2011 |
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| , , , , and , pylearn2, 2011 |
| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-515 |
