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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. Liu. J. Mach. Learn. Res., (2020)

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Lavanya Sharan

Priyanka Narang

Shambhu Sharan Sahay

Ram Avtar Narang

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Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.D. Amodei, R. Anubhai, E. Battenberg, C. Case, J. Casper, B. Catanzaro, J. Chen, M. Chrzanowski, A. Coates, G. Diamos and 24 other author(s). CoRR, (2015)Scale Efficiently: Insights from Pretraining and Finetuning Transformers.Y. Tay, M. Dehghani, J. Rao, W. Fedus, S. Abnar, H. Chung, S. Narang, D. Yogatama, A. Vaswani, and D. Metzler. ICLR, OpenReview.net, (2022)Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin.D. Amodei, S. Ananthanarayanan, R. Anubhai, J. Bai, E. Battenberg, C. Case, J. Casper, B. Catanzaro, J. Chen, M. Chrzanowski and 29 other author(s). ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 173-182. JMLR.org, (2016)Character-Aware Models Improve Visual Text Rendering.R. Liu, D. Garrette, C. Saharia, W. Chan, A. Roberts, S. Narang, I. Blok, R. Mical, M. Norouzi, and N. Constant. ACL (1), page 16270-16297. Association for Computational Linguistics, (2023)Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerC. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. Liu. (October 2019)cite arxiv:1910.10683.Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?Y. Tay, M. Dehghani, S. Abnar, H. Chung, W. Fedus, J. Rao, S. Narang, V. Tran, D. Yogatama, and D. Metzler. EMNLP (Findings), page 12342-12364. Association for Computational Linguistics, (2023)UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining.H. Chung, X. Garcia, A. Roberts, Y. Tay, O. Firat, S. Narang, and N. Constant. ICLR, OpenReview.net, (2023)Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. Liu. J. Mach. Learn. Res., (2020)Block-Sparse Recurrent Neural Networks.S. Narang, E. Undersander, and G. Diamos. CoRR, (2017)WT5?! Training Text-to-Text Models to Explain their Predictions.S. Narang, C. Raffel, K. Lee, A. Roberts, N. Fiedel, and K. Malkan. CoRR, (2020)

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Disambiguation of "Narang, Sharan"

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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Please choose a person to relate this publication to

Lavanya Sharan

Priyanka Narang

Shambhu Sharan Sahay

Ram Avtar Narang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Narang, Sharan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Please choose a person to relate this publication to

Lavanya Sharan

Priyanka Narang

Shambhu Sharan Sahay

Ram Avtar Narang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Chicago
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.