Parameter Transfer

Parameter Transfer is a transfer learning strategy that involves the direct reuse of learned model parameters from a source task to a target task, distinguishing itself by leveraging pre-trained weights to initialize or guide the learning process in a new but related domain.

112

Publications

6.6K

Citations

410

Authors

180

Institutions

Publications per year

2017–2026

96

Authors

410

  1. JS
    Jun Shi

    Shanghai University, China

    3 publications · 144 citations

    3

    h-index

  2. LS
    Luis Samaniego

    Helmholtz Centre for Environmental Research, Germany

    3 publications · 177 citations

    3

    h-index

  3. XF
    Xiaoyan Fei

    Jiangxi Science and Technology Normal University, China

    3 publications · 144 citations

    3

    h-index

  4. HJ
    Hongkai Jiang

    Northwestern Polytechnical University, China

    3 publications · 251 citations

    3

    h-index

  5. MX
    Min Xia

    Lancaster University, United Kingdom

    3 publications · 538 citations

    3

    h-index

1–5 of 410

Venues

  1. arXiv (Cornell University)

    Repository · 16 publications · 954 citations

    14

    h-index

  2. 4

    h-index

  3. IEEE Access

    4 publications · 164 citations

    4

    h-index

  4. Water Resources Research

    3 publications · 212 citations

    3

    h-index

  5. Hydrology and earth system sciences

    2 publications · 28 citations

    2

    h-index

1–5