Trunk Pruning

Trunk Pruning is a pruning mechanization method that selectively removes entire branches or segments of a neural network’s trunk architecture during model compression to enhance computational efficiency while preserving representational capacity.

14

Publications

400

Citations

47

Authors

22

Institutions

Publications per year

2017–2026

6

Authors

47

  1. YY
    Yinfa Yan

    Shandong Agricultural University, China

    1 publications · 36 citations

    1

    h-index

  2. TM
    T. M. Al-Antary

    University of Jordan, Jordan

    1 publications · 11 citations

    1

    h-index

  3. YZ
    Yanping Zhao

    Shandong Agricultural University, China

    1 publications · 36 citations

    1

    h-index

  4. TK
    Turan Karadeniz

    Bolu Abant İzzet Baysal University, Türkiye

    1 publications · 27 citations

    1

    h-index

  5. JX
    Jianlin Xue

    Central South University, China

    1 publications · 19 citations

    1

    h-index

1–5 of 47

Venues

  1. Agronomy

    1 publications · 36 citations

    1

    h-index

  2. Remote Sensing

    1 publications · 31 citations

    1

    h-index

  3. Computers and Electronics in Agriculture

    1 publications · 15 citations

    1

    h-index

  4. Biodiversity Heritage Library (Smithsonian Institution)

    Repository · 1 publications · 11 citations

    1

    h-index

  5. Forest Ecology and Management

    1 publications · 19 citations

    1

    h-index

1–5