Concepedia

Selective Pruning

Selective Pruning is a model compression technique that systematically removes less informative neural network parameters based on sensitivity analysis to preserve critical model functionality while reducing computational complexity.

65

Publications

3.3K

Citations

213

Authors

107

Institutions

Publications per year

2017–2026

34

Parents

Children

Publications

65

Bonsai Trees in Your Head: How the Pavlovian System Sculpts Goal-Directed Choices by Pruning Decision Trees

Quentin J. M. Huys, Neir Eshel, Elizabeth O’Nions et al. · PLoS Computational Biology · 2012 · 476 citations · Full text

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DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

Yongming Rao, Wenliang Zhao, Benlin Liu et al. · arXiv (Cornell University) · 2021 · 310 citations · Full text

, , +14

LightAMC: Lightweight Automatic Modulation Classification via Deep Learning and Compressive Sensing

Yu Wang, Jie Yang, Miao Liu et al. · IEEE Transactions on Vehicular Technology · 2020 · 272 citations

, , +16

Learning to Prune Filters in Convolutional Neural Networks

Qiangui Huang, Kevin Zhou, Suya You et al. · 2018 · 166 citations

, , +16

Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

Torsten Hoefler, Dan Alistarh, Tal Ben‐Nun et al. · Repository for Publications and Research Data (ETH Zurich) · 2021 · 125 citations · Full text

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1–5 of 65

Authors

213

  1. FQ
    Fanchao Qi

    Tsinghua University, China

    2 publications · 40 citations

    2

    h-index

  2. ZL
    Zhiyuan Liu

    Tsinghua University, China

    2 publications · 40 citations

    2

    h-index

  3. QH
    Qiangui Huang

    University of Southern California, United States

    2 publications · 194 citations

    2

    h-index

  4. KZ
    Kevin Zhou

    Siemens (United States), United States

    2 publications · 194 citations

    2

    h-index

  5. UN
    Ulrich Neumann

    University of Southern California, United States

    2 publications · 194 citations

    2

    h-index

1–5 of 213

Institutions

107

  1. Louisiana State University

    Baton Rouge, United States

    2 h-index

    4 publications

    104 citations

  2. University of Chinese Academy of Sciences

    Beijing, China

    2 h-index

    5 publications

    178 citations

  3. National University of Singapore

    Singapore, Singapore

    2 h-index

    2 publications

    60 citations

  4. IMT Atlantique

    Nantes, France

    1 h-index

    4 publications

    108 citations

  5. Vilnius Gediminas Technical University

    Vilnius, Lithuania

    1 h-index

    2 publications

    26 citations

  6. Fulda University of Applied Sciences

    Fulda, Germany

    1 h-index

    1 publications

    37 citations

  7. Information Technology University

    Lahore, Pakistan

    1 h-index

    1 publications

    57 citations

  8. Association of Electronic and Information Technologies

    Donostia / San Sebastian, Spain

    1 h-index

    2 publications

    106 citations

1–8 of 107

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 703 citations

    11

    h-index

  2. Neurocomputing

    3 publications · 121 citations

    3

    h-index

  3. PLoS Computational Biology

    1 publications · 476 citations

    1

    h-index

  4. Journal of Imaging

    1 publications · 27 citations

    1

    h-index

  5. IEEE Transactions on Signal Processing

    1 publications · 17 citations

    1

    h-index

1–5