Concepedia

Accuracy-pruning Trade-off

Accuracy-Pruning Trade-Off is a theoretical construct in machine learning that characterizes the inverse relationship between the extent of model parameter removal during pruning and the resulting degradation in predictive performance, distinguishing it from other pruning-related metrics by specifically quantifying the balance between model compactness and functional fidelity.

118

Publications

9.1K

Citations

341

Authors

135

Institutions

Publications per year

2017–2026

76

Parents

Publications

118

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration

Yang He, Ping Liu, Ziwei Wang et al. · 2019 · 1.2K citations · Full text

, , +16

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

To prune, or not to prune: exploring the efficacy of pruning for model compression

Michael Zhu, Suyog Gupta · arXiv (Cornell University) · 2017 · 663 citations · Full text

, , +16

A comparative analysis of methods for pruning decision trees

Floriana Esposito, Donato Malerba, Giovanni Semeraro et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1997 · 550 citations

, , +12

1–5 of 118

Authors

341

  1. PM
    Pavlo Molchanov

    Nvidia (United States), United States

    3 publications · 1.8K citations

    4

    h-index

  2. YY
    Yi Yang

    University of Technology Sydney, Australia

    3 publications · 1.3K citations

    3

    h-index

  3. YH
    Yang He

    University of Technology Sydney, Australia

    3 publications · 1.3K citations

    3

    h-index

  4. PG
    Paolo Garza

    Politecnico di Torino, Italy

    3 publications · 225 citations

    3

    h-index

  5. DJ
    David Jensen

    University of Massachusetts Amherst, United States

    3 publications · 102 citations

    3

    h-index

1–5 of 341

Institutions

135

  1. Tsinghua University

    Beijing, China

    5 h-index

    14 publications

    1.1K citations

  2. Politecnico di Torino

    Turin, Italy

    4 h-index

    7 publications

    561 citations

  3. University of Technology Sydney

    Sydney, Australia

    4 h-index

    8 publications

    3.9K citations

  4. Google (United States)

    Mountain View, United States

    4 h-index

    12 publications

    410 citations

  5. Princeton University

    Princeton, United States

    4 h-index

    5 publications

    89 citations

  6. The University of Sydney

    Sydney, Australia

    3 h-index

    4 publications

    74 citations

  7. Massachusetts Institute of Technology

    Cambridge, United States

    3 h-index

    6 publications

    176 citations

  8. University of Massachusetts Amherst

    Amherst Center, United States

    3 h-index

    5 publications

    188 citations

1–8 of 135

Venues

  1. arXiv (Cornell University)

    Repository · 32 publications · 4.1K citations

    22

    h-index

  2. 3

    h-index

  3. International Conference on Learning Representations

    Conference · 2 publications · 265 citations

    2

    h-index

  4. Machine Learning

    2 publications · 81 citations

    2

    h-index

  5. Knowledge-Based Systems

    2 publications · 107 citations

    2

    h-index

1–5