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Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks.

S. Bengio, O. Vinyals, N. Jaitly, and N. Shazeer. NIPS, page 1171-1179. (2015)

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Noam Pilpel

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Adafactor: Adaptive Learning Rates with Sublinear Memory Cost.N. Shazeer, and M. Stern. ICML, volume 80 of Proceedings of Machine Learning Research, page 4603-4611. PMLR, (2018)Sparse Non-negative Matrix Language Modeling.J. Pelemans, N. Shazeer, and C. Chelba. Trans. Assoc. Comput. Linguistics, (2016)GSPMD: General and Scalable Parallelization for ML Computation Graphs.Y. Xu, H. Lee, D. Chen, B. Hechtman, Y. Huang, R. Joshi, M. Krikun, D. Lepikhin, A. Ly, M. Maggioni and 6 other author(s). CoRR, (2021)GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.D. Lepikhin, H. Lee, Y. Xu, D. Chen, O. Firat, Y. Huang, M. Krikun, N. Shazeer, and Z. Chen. CoRR, (2020)Mesh-tensorflow: Deep learning for supercomputersN. Shazeer, Y. Cheng, N. Parmar, D. Tran, A. Vaswani, P. Koanantakool, P. Hawkins, H. Lee, M. Hong, C. Young and 1 other author(s). Advances in Neural Information Processing Systems, page 10435--10444. (2018)Music TransformerC. Huang, A. Vaswani, J. Uszkoreit, N. Shazeer, I. Simon, C. Hawthorne, A. Dai, M. Hoffman, M. Dinculescu, and D. Eck. (2018)cite arxiv:1809.04281Comment: Improved skewing section and accompanying figures. Previous titles are Än Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation" and "Music Transformer".Primer: Searching for Efficient Transformers for Language Modeling.D. So, W. Manke, H. Liu, Z. Dai, N. Shazeer, and Q. Le. CoRR, (2021)Talking-Heads Attention.N. Shazeer, Z. Lan, Y. Cheng, N. Ding, and L. Hou. CoRR, (2020)Sparse non-negative matrix language modeling for skip-grams.N. Shazeer, J. Pelemans, and C. Chelba. INTERSPEECH, page 1428-1432. ISCA, (2015)NN-Grams: Unifying Neural Network and n-Gram Language Models for Speech Recognition.B. Damavandi, S. Kumar, N. Shazeer, and A. Bruguier. INTERSPEECH, page 3499-3503. ISCA, (2016)

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Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks.

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Noam Pilpel

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks.

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Noam Pilpel

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Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks.