Weight Sharing

Weight sharing is a computational mechanism in neural network architecture where the same set of parameters is applied across multiple locations or instances within a model to enforce translational invariance and reduce overall parameter complexity.

180

Publications

22.4K

Citations

626

Authors

237

Institutions

Publications per year

2017–2026

154

Authors

626

  1. ZL
    Zhenguo Li

    Huawei Technologies (Sweden), Sweden

    6 publications · 187 citations

    6

    h-index

  2. MS
    Mathieu Salzmann

    École Polytechnique Fédérale de Lausanne, Switzerland

    5 publications · 375 citations

    5

    h-index

  3. KY
    Kaicheng Yu

    École Polytechnique Fédérale de Lausanne, Switzerland

    5 publications · 375 citations

    5

    h-index

  4. DN
    David Novo

    École Polytechnique Fédérale de Lausanne, Switzerland

    4 publications · 67 citations

    4

    h-index

  5. JF
    Jianlong Fu

    Microsoft Research Asia (China), China

    4 publications · 581 citations

    4

    h-index

1–5 of 626

Venues

  1. arXiv (Cornell University)

    Repository · 49 publications · 7.3K citations

    26

    h-index

  2. 4

    h-index

  3. IEEE Access

    4 publications · 318 citations

    4

    h-index

  4. IEEE Transactions on Multimedia

    3 publications · 192 citations

    3

    h-index

  5. Neural Computation

    3 publications · 788 citations

    3

    h-index

1–5