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Topic: Deep architectures
Publications for topic "Deep architectures"
| 1-25 | 26-31 |
2010
| , and , Decision Trees do not Generalize to New Variations (2010), in: Computational Intelligence, 26:4(449--467) |
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| and , 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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| , , , , 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 , Accurate Dependency Parsing with a Stacked Multilayer Perceptron, in: Proceeding of Evalita 2009, Springer, 2009 |
| , , and , Curriculum Learning, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1330, 2009 |
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| , 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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| , Étude de techniques d'apprentissage non-supervisé pour l'amélioration de l'entraînement supervisé de modèles connexionnistes, University of Montréal, 2009 |
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| , , and , Exploring Strategies for Training Deep Neural Networks (2009), in: Journal of Machine Learning Research, 10(1--40) |
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| and , Justifying and Generalizing Contrastive Divergence (2009), in: Neural Computation, 21:6(1601--1621) |
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| , Learning deep architectures for AI (2009), in: Foundations and Trends in Machine Learning, 2:1(1--127) |
[DOI] |
| , and , Quadratic Features and Deep Architectures for Chunking, in: North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT), pages 245--248, Association for Computational Linguistics, 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 , Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model (2008), in: IEEE Transactions on Neural Networks, 19:4(713--722) |
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| , Avancées théoriques sur la représentation et l'optimisation des réseaux de neurones, Université de Montréal, 2008 |
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| and , Classification using Discriminative Restricted Boltzmann Machines, in: Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML'08), Helsinki, Finland, pages 536--543, ACM, 2008 |
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| , and , Deep Woods, Poster presented at the Learning@Snowbird Workshop, Snowbird, USA, 2008, 2008 |
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| and , Empirical Evaluation of Convolutional RBMs for Vision, Département d'Informatique et de Recherche Opérationnelle, Université de Montréal, number 1327, 2008 |
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| , , and , Extracting and Composing Robust Features with Denoising Autoencoders, Département d'Informatique et Recherche Opérationnelle, Université de Montréal, number 1316, 2008 |
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| , , and , Extracting and Composing Robust Features with Denoising Autoencoders, in: Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML'08), pages 1096--1103, ACM, 2008 |
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| , and , Image Classification using Higher-Order Neural Models, The Learning Workshop (Snowbird, Utah), 2008 |
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| and , Representational Power of Restricted Boltzmann Machines and Deep Belief Networks (2008), in: Neural Computation, 20:6(1631--1649) |
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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 , Decision Trees do not Generalize to New Variations, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1304, 2007 |
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| 1-25 | 26-31 |
