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On Continual Model Refinement in Out-of-Distribution Data Streams.

B. Lin, S. Wang, X. Lin, R. Jia, L. Xiao, X. Ren, and S. Yih. ACL (1), page 3128-3139. Association for Computational Linguistics, (2022)

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Yiheyis Tasissa

Gabriel Yihune

Martina Christine Scotti

Pierre-François Scotto

Peter Scott

Other publications of authors with the same name

UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering.B. Oguz, X. Chen, V. Karpukhin, S. Peshterliev, D. Okhonko, M. Schlichtkrull, S. Gupta, Y. Mehdad, and S. Yih. NAACL-HLT (Findings), page 1535-1546. Association for Computational Linguistics, (2022)Personalized Spam Filtering for Gray Mail.M. Chang, S. Yih, and R. McCann. CEAS, (2008)Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.W. Xiong, X. Li, S. Iyer, J. Du, P. Lewis, W. Wang, Y. Mehdad, S. Yih, S. Riedel, D. Kiela and 1 other author(s). ICLR, OpenReview.net, (2021)Boosted Dense Retriever.P. Lewis, B. Oguz, W. Xiong, F. Petroni, S. Yih, and S. Riedel. NAACL-HLT, page 3102-3117. Association for Computational Linguistics, (2022)Domain-matched Pre-training Tasks for Dense Retrieval.B. Oguz, K. Lakhotia, A. Gupta, P. Lewis, V. Karpukhin, A. Piktus, X. Chen, S. Riedel, S. Yih, S. Gupta and 1 other author(s). NAACL-HLT (Findings), page 1524-1534. Association for Computational Linguistics, (2022)InCoder: A Generative Model for Code Infilling and Synthesis.D. Fried, A. Aghajanyan, J. Lin, S. Wang, E. Wallace, F. Shi, R. Zhong, S. Yih, L. Zettlemoyer, and M. Lewis. ICLR, OpenReview.net, (2023)CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training.P. Huber, A. Aghajanyan, B. Oguz, D. Okhonko, S. Yih, S. Gupta, and X. Chen. NAACL-HLT (Findings), page 2402-2420. Association for Computational Linguistics, (2022)Autoregressive Search Engines: Generating Substrings as Document Identifiers.M. Bevilacqua, G. Ottaviano, P. Lewis, S. Yih, S. Riedel, and F. Petroni. NeurIPS, (2022)Unified Open-Domain Question Answering with Structured and Unstructured Knowledge.B. Oguz, X. Chen, V. Karpukhin, S. Peshterliev, D. Okhonko, M. Schlichtkrull, S. Gupta, Y. Mehdad, and S. Yih. CoRR, (2020)Simple Local Attentions Remain Competitive for Long-Context Tasks.W. Xiong, B. Oguz, A. Gupta, X. Chen, D. Liskovich, O. Levy, S. Yih, and Y. Mehdad. NAACL-HLT, page 1975-1986. Association for Computational Linguistics, (2022)

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Disambiguation of "Yih, Scott"

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On Continual Model Refinement in Out-of-Distribution Data Streams.

Please choose a person to relate this publication to

Yiheyis Tasissa

Gabriel Yihune

Martina Christine Scotti

Pierre-François Scotto

Peter Scott

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yih, Scott"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On Continual Model Refinement in Out-of-Distribution Data Streams.

Please choose a person to relate this publication to

Yiheyis Tasissa

Gabriel Yihune

Martina Christine Scotti

Pierre-François Scotto

Peter Scott

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

On Continual Model Refinement in Out-of-Distribution Data Streams.