• DOI:10.1109/JPROC.2020.3004555
Corpus ID: 207847753

A Comprehensive Survey on Transfer Learning

@article{Zhuang2021ACS,
  title={A Comprehensive Survey on Transfer Learning},
  author={Fuzhen Zhuang and Zhiyuan Qi and Keyu Duan and Dongbo Xi and Yongchun Zhu and H. Zhu and Hui Xiong and Q. He},
  journal={Proceedings of the IEEE},
  year={2021},
  volume={109},
  pages={43-76}
}

• Fuzhen Zhuang, Zhiyuan Qi, +5 authors Q. He
• Published 2021
• Computer Science, Mathematics
• Proceedings of the IEEE

Transfer learning aims at improving the performance of target learners on target domains by transferring the knowledge contained in different but related source domains. In this way, the dependence on a large number of target-domain data can be reduced for constructing target learners. Due to the wide application prospects, transfer learning has become a popular and promising area in machine learning. Although there are already some valuable and impressive surveys on transfer learning, these… Expand

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