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Erratum

Erratum to Meta-Semi: A Meta-Learning Approach for Semi-Supervised Learning

Yulin Wang1, Jiayi Guo1, Jiangshan Wang2, Cheng Wu1, Shiji Song1, Gao Huang1( )
Department of Automation, BNRist, Tsinghua University, Beijing 100084, China
Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518131, China

Yulin Wang and Jiayi Guo contribute equally to this work.

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The online version of the original article can be found at:
https://doi.org/10.26599/AIR.2022.9150011

Keywords

deep learningsemi-supervised learningcomputer vision
CAAI Artificial Intelligence Research
Volume 2,
2023
Article number: 9150017
DOI: 10.26599/AIR.2023.9150017
Cite this article:
Wang Y, Guo J, Wang J, et al. Erratum to Meta-Semi: A Meta-Learning Approach for Semi-Supervised Learning. CAAI Artificial Intelligence Research, 2023, 2: 9150017. https://doi.org/10.26599/AIR.2023.9150017

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Published: 17 October 2023
© The author(s) 2023.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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