Concepedia

Fisher Information Pruning

Fisher Information Pruning is a model compression technique that belongs to the class of pruning methods, distinguished by its use of the Fisher Information matrix to prioritize the removal of parameters having minimal impact on the model’s posterior distribution, thereby preserving predictive accuracy.

7

Publications

430

Citations

34

Authors

12

Institutions

Publications per year

2017–2026

5

Parents

Publications

7

Faster gaze prediction with dense networks and Fisher pruning

Lucas Theis, Iryna Korshunova, Alykhan Tejani et al. · arXiv (Cornell University) · 2018 · 139 citations · Full text

, , +13

Statistical active learning in multilayer perceptrons

Kenji Fukumizu · IEEE Transactions on Neural Networks · 2000 · 97 citations

, , +13

Metabolic network discovery through reverse engineering of metabolome data

Tunahan Çakır, Margriet M. W. B. Hendriks, Johan A. Westerhuis et al. · Metabolomics · 2009 · 57 citations · Full text

, , +15

GLR-SEI: Green and Low Resource Specific Emitter Identification Based on Complex Networks and Fisher Pruning

Yun Lin, Haoran Zha, Ya Tu et al. · IEEE Transactions on Emerging Topics in Computational Intelligence · 2023 · 55 citations

, , +17

A Fast Post-Training Pruning Framework for Transformers

Woosuk Kwon, Sehoon Kim, Michael W. Mahoney et al. · arXiv (Cornell University) · 2022 · 39 citations · Full text

, , +15

1–5 of 7

Authors

34

  1. SZ
    Sicheng Zhang

    Huazhong University of Science and Technology, China

    1 publications · 55 citations

    1

    h-index

  2. AZ
    Aojun Zhou

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 25 citations

    1

    h-index

  3. JH
    Joseph Hassoun

    Samsung (United States), United States

    1 publications · 39 citations

    1

    h-index

  4. SL
    Shuiwang Li

    Guilin University of Technology, China

    1 publications · 18 citations

    1

    h-index

  5. WY
    Wenming Yang

    Tsinghua University, China

    1 publications · 25 citations

    1

    h-index

1–5 of 34

Institutions

12

  1. Sensetime (China)

    Beijing, China

    1 h-index

    1 publications

    25 citations

  2. Guilin University of Technology

    Guilin, China

    1 h-index

    3 publications

    54 citations

  3. University Medical Center Utrecht

    Utrecht, The Netherlands

    1 h-index

    2 publications

    114 citations

  4. Tsinghua University

    Beijing, China

    1 h-index

    3 publications

    75 citations

  5. University of Science and Technology of China

    Hefei, China

    1 h-index

    1 publications

    25 citations

  6. RIKEN Center for Brain Science

    Wako, Japan

    1 h-index

    1 publications

    97 citations

  7. Guilin University of Electronic Technology

    Guilin, China

    1 h-index

    3 publications

    54 citations

  8. Group Sense (China)

    Hong Kong, China

    1 h-index

    3 publications

    75 citations

1–8 of 12

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 203 citations

    3

    h-index

  2. IEEE Transactions on Neural Networks

    1 publications · 97 citations

    1

    h-index

  3. Metabolomics

    1 publications · 57 citations

    1

    h-index

  4. 1

    h-index

  5. 2022 International Joint Conference on Neural Networks (IJCNN)

    Conference · 1 publications · 18 citations

    1

    h-index

1–5