All publications

2011
Yann Dauphin, Xavier Glorot and Yoshua Bengio, Large-Scale Learning of Embeddings with Reconstruction Sampling, in: Proceedings of the Twenty-eighth International Conference on Machine Learning (ICML'11), 2011
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Yoshua Bengio and Olivier Delalleau, On the Expressive Power of Deep Architectures, in: Proceedings of the 22nd International Conference on Algorithmic Learning Theory, 2011
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James Bergstra and Yoshua Bengio, Random Search for Hyper-parameter Optimization, The Learning Workshop, Fort Lauderdale FL., 2011
Yann Dauphin, Xavier Glorot and Yoshua Bengio, Sampled Reconstruction for Large-Scale Learning of Embeddings (2011), in: Proceedings of the Twenty-eight International Conference on Machine Learning (ICML'11)
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Olivier Delalleau and Yoshua Bengio, Shallow vs. Deep Sum-Product Networks, in: Advances in Neural Information Processing Systems 24 (NIPS'11), 2011
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Ian Goodfellow, Aaron Courville and Yoshua Bengio, Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery, in: NIPS Workshop on Challenges in Learning Hierarchical Models, 2011
Philippe Hamel, Simon Lemieux, Yoshua Bengio and Douglas Eck, Temporal pooling and multiscale learning for automatic annotation and ranking of music audio, in: In Proceedings of the 12th International Conference on Music Information Retrieval (ISMIR’11), Miami, FL, USA, 2011
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Aaron Courville, James Bergstra and Yoshua Bengio, Unsupervised Models of Images by Spike-and-Slab RBMs, in: Proceedings of the Twenty-eight International Conference on Machine Learning (ICML'11), 2011
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2010
Pascal Vincent, A connection between Score Matching and Denoising Autoencoders, Université de Montréal, DIRO, number 1358, 2010
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Yoshua Bengio, Olivier Delalleau and Clarence Simard, Decision Trees do not Generalize to New Variations (2010), in: Computational Intelligence, 26:4(449--467)
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Nicolas Le Roux and Yoshua Bengio, Deep Belief Networks are Compact Universal Approximators (2010), in: Neural Computation, 22:8(2192-2207)
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