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Convex Neural Networks.

Y. Bengio, N. Roux, P. Vincent, O. Delalleau, and P. Marcotte. NIPS, page 123-130. (2005)

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Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio.P. Hamel, S. Lemieux, Y. Bengio, and D. Eck. ISMIR, page 729-734. University of Miami, (2011)On the Spectral Bias of Neural Networks.N. Rahaman, A. Baratin, D. Arpit, F. Draxler, M. Lin, F. Hamprecht, Y. Bengio, and A. Courville. ICML, volume 97 of Proceedings of Machine Learning Research, page 5301-5310. PMLR, (2019)A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms.Y. Bengio, T. Deleu, N. Rahaman, N. Ke, S. Lachapelle, O. Bilaniuk, A. Goyal, and C. Pal. ICLR, OpenReview.net, (2020)N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.B. Oreshkin, D. Carpov, N. Chapados, and Y. Bengio. ICLR, OpenReview.net, (2020)Object-Centric Image Generation from Layouts.T. Sylvain, P. Zhang, Y. Bengio, R. Hjelm, and S. Sharma. CoRR, (2020)HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery.M. Deudon, A. Kalaitzis, I. Goytom, M. Arefin, Z. Lin, K. Sankaran, V. Michalski, S. Kahou, J. Cornebise, and Y. Bengio. CoRR, (2020)Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning.D. Arpit, H. Wang, C. Xiong, R. Socher, and Y. Bengio. CoRR, (2020)On the Spectral Bias of Neural NetworksN. Rahaman, A. Baratin, D. Arpit, F. Draxler, M. Lin, F. Hamprecht, Y. Bengio, and A. Courville. (2018)cite arxiv:1806.08734Comment: 23 pages.A neural probabilistic language modelY. Bengio, R. Ducharme, P. Vincent, and C. Jauvin. Journal of machine learning research, 3 (Feb): 1137--1155 (2003)Suitability of V1 Energy Models for Object ClassificationJ. Bergstra, Y. Bengio, and J. Louradour. Neural Computation, (Dec 16, 2010)

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Convex Neural Networks.

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Disambiguation of "Bengio, Yoshua"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Convex Neural Networks.

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Convex Neural Networks.