Concepedia

Pruning During Fine-tuning

Pruning During Fine-Tuning is a model compression technique that integrates the removal of redundant or less important parameters directly within the fine-tuning phase of transfer learning, thereby distinguishing itself from standalone pruning methods by aligning structural optimization with task-specific adaptation.

25

Publications

3.7K

Citations

81

Authors

36

Institutions

Publications per year

2017–2026

23

Parents

Publications

25

Pruning Convolutional Neural Networks for Resource Efficient Inference

Pavlo Molchanov, Stephen Tyree, Tero Karras et al. · arXiv (Cornell University) · 2016 · 1.2K citations · Full text

, , +16

Rethinking the Value of Network Pruning

Zhuang Liu, Mingjie Sun, Tinghui Zhou et al. · arXiv (Cornell University) · 2018 · 744 citations · Full text

, , +10

Rethinking the Value of Network Pruning

Zhuang Liu, Mingjie Sun, Tinghui Zhou et al. · arXiv (Cornell University) · 2018 · 327 citations · Full text

, , +10

Pruning Convolutional Neural Networks for Resource Efficient Inference

Pavlo Molchanov, Stephen Tyree, Tero Karras et al. · International Conference on Learning Representations · 2016 · 251 citations

, , +16

AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference

Jian-Hao Luo, Jianxin Wu · Pattern Recognition · 2020 · 217 citations

, , +14

1–5 of 25

Authors

81

  1. TD
    Trevor Darrell

    University of California, Berkeley, United States

    2 publications · 1.1K citations

    2

    h-index

  2. JK
    Jan Kautz

    University College London, United Kingdom

    2 publications · 1.5K citations

    2

    h-index

  3. ST
    Stephen Tyree

    Washington University in St. Louis, United States

    2 publications · 1.5K citations

    2

    h-index

  4. FT
    Frederick Tung

    University of British Columbia, Canada

    2 publications · 35 citations

    2

    h-index

  5. GH
    Gao Huang

    Tsinghua University, China

    2 publications · 1.1K citations

    2

    h-index

1–5 of 81

Institutions

36

  1. Peking University

    Beijing, China

    3 h-index

    9 publications

    365 citations

  2. Harvard University Press

    Cambridge, United States

    2 h-index

    2 publications

    224 citations

  3. Tsinghua University

    Beijing, China

    2 h-index

    6 publications

    746 citations

  4. Cornell University

    Ithaca, United States

    2 h-index

    2 publications

    224 citations

  5. Massachusetts Institute of Technology

    Cambridge, United States

    2 h-index

    4 publications

    98 citations

  6. Institut Polytechnique de Paris

    Palaiseau, France

    1 h-index

    3 publications

    42 citations

  7. Zhejiang University

    Hangzhou, China

    1 h-index

    1 publications

    54 citations

  8. Instituto Andaluz de Ciencias de la Tierra

    Granada, Spain

    1 h-index

    3 publications

    48 citations

1–8 of 36

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 2.6K citations

    8

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 98 citations

    3

    h-index

  3. Pattern Recognition

    1 publications · 217 citations

    1

    h-index

  4. International Conference on Learning Representations

    Conference · 1 publications · 251 citations

    1

    h-index

  5. Image and Vision Computing

    1 publications · 20 citations

    1

    h-index

1–5