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Transfer Learning Toolkit for Primary Researchers

License: MIT License

Shell 0.01% Python 1.51% C 1.16% Java 0.78% MATLAB 92.58% M 0.01% CSS 0.21% Makefile 0.01% HTML 3.74%

transfer-learning-toolkit's Introduction

Transfer-Learning-Toolkit

Transfer Learning Toolkit for Primary Researchers

Reference

If you are interested in this toolkit and use it for baselines, please cite these two papers,

A comprehensive survey on transfer learning and Transfer Learning Toolkit: Primers and Benchmarks

F. Zhuang, Z. Qi, K. Duan, D. Xi, Y. Zhu, H. Zhu, H. Xiong, and Q. He, “A comprehensive survey on transfer learning,” the Proceedings of the IEEE, vol. 109, no. 1, pp. 43--76, 2021.

F. Zhuang, K. Duan, T. Guo, Y. Zhu, D. Xi, Z. Qi, and Q. He, "Transfer Learning Toolkit: Primers and Benchmarks," 2019, arXiv:1911.08967v1.

or in bibtex style:

@misc{zhuang2019comprehensive,
    title={A Comprehensive Survey on Transfer Learning},
    author={Fuzhen Zhuang and Zhiyuan Qi and Keyu Duan and Dongbo Xi and Yongchun Zhu and Hengshu Zhu and Hui Xiong and Qing He},
    journal={Proc. {IEEE}},
    volume={109},
    number={1},
    pages={43--76},
    year={2021},
    url={https://doi.org/10.1109/JPROC.2020.3004555},
    doi={10.1109/JPROC.2020.3004555}
}

@misc{zhuang2019transfer,
    title={Transfer Learning Toolkit: Primers and Benchmarks},
    author={Fuzhen Zhuang and Keyu Duan and Tongjia Guo and Yongchun Zhu and Dongbo Xi and Zhiyuan Qi and Qing He},
    year={2019},
    eprint={1911.08967},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}


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Contributors

easezyc avatar fuzhenzhuang avatar qizhyuan avatar vermouthdky avatar

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