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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. (October 2019)cite arxiv:1910.10683.
DOI: 10.48550/arXiv.1910.10683

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Zhou Zhou

Rui Zhou

Wei Zhou

Dayu Zhou

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GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing.Y. Hu, C. Zhang, E. Andert, H. Singh, A. Shrivastava, J. Laudon, Y. Zhou, B. Iannucci, and C. Joe-Wong. CoRR, (2023)Do Transformer Modifications Transfer Across Implementations and Applications?S. Narang, H. Chung, Y. Tay, W. Fedus, T. Févry, M. Matena, K. Malkan, N. Fiedel, N. Shazeer, Z. Lan and 6 other author(s). CoRR, (2021)FLuRKA: Fast fused Low-Rank & Kernel Attention.A. Gupta, Y. Yuan, Y. Zhou, and C. Mendis. CoRR, (2023)Learning Large Graph Property Prediction via Graph Segment Training.K. Cao, P. Phothilimthana, S. Abu-El-Haija, D. Zelle, Y. Zhou, C. Mendis, J. Leskovec, and B. Perozzi. CoRR, (2023)LaMDA: Language Models for Dialog Applications.R. Thoppilan, D. Freitas, J. Hall, N. Shazeer, A. Kulshreshtha, H. Cheng, A. Jin, T. Bos, L. Baker, Y. Du and 47 other author(s). CoRR, (2022)Towards the Co-design of Neural Networks and Accelerators.Y. Zhou, X. Dong, T. Meng, M. Tan, B. Akin, D. Peng, A. Yazdanbakhsh, D. Huang, R. Narayanaswami, and J. Laudon. MLSys, mlsys.org, (2022)A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.X. Xie, P. Prabhu, U. Beaugnon, P. Phothilimthana, S. Roy, A. Mirhoseini, E. Brevdo, J. Laudon, and Y. Zhou. MLSys, mlsys.org, (2022)GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.N. Du, Y. Huang, A. Dai, S. Tong, D. Lepikhin, Y. Xu, M. Krikun, Y. Zhou, A. Yu, O. Firat and 17 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 5547-5569. PMLR, (2022)Power and Energy Characterization of an Open Source 25-Core Manycore Processor.M. McKeown, A. Lavrov, M. Shahrad, P. Jackson, Y. Fu, J. Balkind, T. Nguyen, K. Lim, Y. Zhou, and D. Wentzlaff. HPCA, page 762-775. IEEE Computer Society, (2018)Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things.H. Qin, S. Zawad, Y. Zhou, S. Padhi, L. Yang, and F. Yan. IEEE Internet Things J., 7 (7): 6325-6337 (2020)

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Disambiguation of "Zhou, Yanqi"

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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

Zhou Zhou

Zhou Zhou

Rui Zhou

Wei Zhou

Dayu Zhou

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhou, Yanqi"

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

Zhou Zhou

Zhou Zhou

Rui Zhou

Wei Zhou

Dayu Zhou

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer