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End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results.

J. Chorowski, D. Bahdanau, K. Cho, and Y. Bengio. CoRR, (2014)

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Task Loss Estimation for Sequence Prediction.D. Bahdanau, D. Serdyuk, P. Brakel, N. Ke, J. Chorowski, A. Courville, and Y. Bengio. CoRR, (2015)Systematic Generalization: What Is Required and Can It Be Learned?D. Bahdanau, S. Murty, M. Noukhovitch, T. Nguyen, H. de Vries, and A. Courville. ICLR (Poster), OpenReview.net, (2019)PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models.T. Scholak, N. Schucher, and D. Bahdanau. EMNLP (1), page 9895-9901. Association for Computational Linguistics, (2021)Theano: A Python framework for fast computation of mathematical expressions.R. Al-Rfou', G. Alain, A. Almahairi, C. Angermüller, D. Bahdanau, N. Ballas, F. Bastien, J. Bayer, A. Belikov, A. Belopolsky and 102 other author(s). CoRR, (2016)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)Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control.N. Jaques, S. Gu, D. Bahdanau, J. Hernández-Lobato, R. Turner, and D. Eck. ICML, volume 70 of Proceedings of Machine Learning Research, page 1645-1654. PMLR, (2017)Learning to Understand Goal Specifications by Modelling Reward.D. Bahdanau, F. Hill, J. Leike, E. Hughes, S. Hosseini, P. Kohli, and E. Grefenstette. ICLR (Poster), OpenReview.net, (2019)Blocks and Fuel: Frameworks for deep learning.B. van Merriënboer, D. Bahdanau, V. Dumoulin, D. Serdyuk, D. Warde-Farley, J. Chorowski, and Y. Bengio. CoRR, (2015)End-to-End Attention-based Large Vocabulary Speech Recognition.D. Bahdanau, J. Chorowski, D. Serdyuk, P. Brakel, and Y. Bengio. CoRR, (2015)Commonsense mining as knowledge base completion? A study on the impact of novelty.S. Jastrzebski, D. Bahdanau, S. Hosseini, M. Noukhovitch, Y. Bengio, and J. Cheung. CoRR, (2018)

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End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results.

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End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results.