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Challenges in representation learning: A report on three machine learning contests.

I. Goodfellow, D. Erhan, P. Carrier, A. Courville, M. Mirza, B. Hamner, W. Cukierski, Y. Tang, D. Thaler, D. Lee, Y. Zhou, C. Ramaiah, F. Feng, R. Li, X. Wang, D. Athanasakis, J. Shawe-Taylor, M. Milakov, J. Park, R. Ionescu, M. Popescu, C. Grozea, J. Bergstra, J. Xie, L. Romaszko, B. Xu, Z. Chuang, and Y. Bengio. Neural Networks, (2015)

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Identifying and attacking the saddle point problem in high-dimensional non-convex optimizationY. Dauphin, R. Pascanu, C. Gulcehre, K. Cho, S. Ganguli, and Y. Bengio. (2014)cite arxiv:1406.2572Comment: The theoretical review and analysis in this article draw heavily from arXiv:1405.4604 cs.LG.How Transferable Are Features in Convolutional Neural Network Acoustic Models across Languages?J. Thompson, M. Schönwiesner, Y. Bengio, and D. Willett. ICASSP, page 2827-2831. IEEE, (2019)A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs.Y. Bengio, E. Frejinger, A. Lodi, R. Patel, and S. Sankaranarayanan. CoRR, (2019)Applying Knowledge Transfer for Water Body Segmentation in Peru.J. Gonzalez, D. Bhowmick, C. Beltran, K. Sankaran, and Y. Bengio. CoRR, (2019)CLOSURE: Assessing Systematic Generalization of CLEVR Models.D. Bahdanau, H. de Vries, T. O'Donnell, S. Murty, P. Beaudoin, Y. Bengio, and A. Courville. CoRR, (2019)NICE: Non-linear Independent Components EstimationL. Dinh, D. Krueger, and Y. Bengio. (2014)cite arxiv:1410.8516Comment: 11 pages and 2 pages Appendix, workshop paper at ICLR 2015.Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation.B. Scellier, and Y. Bengio. Frontiers Comput. Neurosci., (2017)Deriving Differential Target Propagation from Iterating Approximate Inverses.Y. Bengio. CoRR, (2020)Evolving Culture Versus Local Minima.Y. Bengio. Growing Adaptive Machines, volume 557 of Studies in Computational Intelligence, Springer, (2014)Using Recurrent Neural Networks for Slot Filling in Spoken Language UnderstandingG. Mesnil, Y. Dauphin, K. Yao, Y. Bengio, L. Deng, D. Hakkani-Tur, X. He, L. Heck, G. Tur, D. Yu and 1 other author(s). Audio, Speech, and Language Processing, IEEE/ACM Transactions on, 23 (3): 530--539 (2015)

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Challenges in representation learning: A report on three machine learning contests.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Challenges in representation learning: A report on three machine learning contests.

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Challenges in representation learning: A report on three machine learning contests.