All publications sorted by recency

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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Learning deep architectures for AI, Now Publishers, 2009
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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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Yoshua Bengio, Deep Learning of Representations for Unsupervised and Transfer Learning, in: JMLR W\&CP: Proc. Unsupervised and Transfer Learning challenge and workshop, 2011
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Salah Rifai, Grégoire Mesnil, Pascal Vincent, Xavier Muller, Yoshua Bengio, Yann Dauphin and Xavier Glorot, 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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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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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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Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot and Yoshua Bengio, 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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Xavier Glorot, Antoire Bordes and Yoshua Bengio, 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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Xavier Glorot, Antoire Bordes and Yoshua Bengio, 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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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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Yoshua Bengio and James Bergstra, On the Challenge of Learning Long-term Dependencies, CIFAR Workshop on Modelling Sequential Data, 2007