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

Yulin Wang^¹, Jiayi Guo^¹, Jiangshan Wang^², Cheng Wu^¹, Shiji Song^¹, Gao Huang^¹()

1Department of Automation, BNRist, Tsinghua University, Beijing 100084, China

2Tsinghua 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 learning semi-supervised learning computer 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