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Deep Learners Benefit More from Out-of-Distribution Examples.

Y. Bengio, F. Bastien, A. Bergeron, N. Boulanger-Lewandowski, T. Breuel, Y. Chherawala, M. Cissé, M. Côté, D. Erhan, J. Eustache, X. Glorot, X. Muller, S. Lebeuf, R. Pascanu, S. Rifai, F. Savard, and G. Sicard. AISTATS, volume 15 of JMLR Proceedings, page 164-172. JMLR.org, (2011)

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Deep Self-Taught Learning for Handwritten Character RecognitionF. Bastien, Y. Bengio, A. Bergeron, N. Boulanger-Lewandowski, T. Breuel, Y. Chherawala, M. Cissé, M. Côté, D. Erhan, J. Eustache and 7 other author(s). CoRR, (2010)Feature Design for Offline Arabic Handwriting Recognition: Handcrafted vs Automated?Y. Chherawala, P. Roy, and M. Cheriet. ICDAR, page 290-294. IEEE Computer Society, (2013)Stretching deep architectures for text recognition.Y. Zheng, Y. Cai, G. Zhong, Y. Chherawala, Y. Shi, and J. Dong. ICDAR, page 236-240. IEEE Computer Society, (2015)relocated from Tunis, Tunisia.An Empirical Evaluation of Supervised Dimensionality Reduction for Recognition.G. Zhong, Y. Chherawala, and M. Cheriet. ICDAR, page 1315-1319. IEEE Computer Society, (2013)Feature Set Evaluation for Offline Handwriting Recognition Systems: Application to the Recurrent Neural Network Model.Y. Chherawala, P. Roy, and M. Cheriet. IEEE Trans. Cybernetics, 46 (12): 2825-2836 (2016)TSV-LR: topological signature vector-based lexicon reduction for fast recognition of pre-modern Arabic subwords.Y. Chherawala, R. Wisnovsky, and M. Cheriet. HIP@ICDAR, page 6-13. ACM, (2011)Deep Learners Benefit More from Out-of-Distribution Examples.Y. Bengio, F. Bastien, A. Bergeron, N. Boulanger-Lewandowski, T. Breuel, Y. Chherawala, M. Cissé, M. Côté, D. Erhan, J. Eustache and 7 other author(s). AISTATS, volume 15 of JMLR Proceedings, page 164-172. JMLR.org, (2011)Arabic word descriptor for handwritten word indexing and lexicon reduction.Y. Chherawala, and M. Cheriet. Pattern Recognition, 47 (10): 3477-3486 (2014)W-TSV: Weighted topological signature vector for lexicon reduction in handwritten Arabic documents.Y. Chherawala, and M. Cheriet. Pattern Recognition, 45 (9): 3277-3287 (2012)Context-dependent blstm models. Application to offline handwriting recognition.Y. Chherawala, P. Roy, and M. Chenet. ICIP, page 2565-2569. IEEE, (2014)

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Deep Learners Benefit More from Out-of-Distribution Examples.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Learners Benefit More from Out-of-Distribution Examples.

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Deep Learners Benefit More from Out-of-Distribution Examples.