Concepedia

Model Compression

Model Compression is a technique in Edge Artificial Intelligence that reduces the size and computational complexity of deep learning models by leveraging methods such as pruning, quantization, and knowledge distillation to enable efficient deployment on resource-constrained edge devices.

1.6K

Publications

124.3K

Citations

5.2K

Authors

955

Institutions

Publications per year

2017–2026

1.4K

Parents

Publications

1.6K

Distilling the Knowledge in a Neural Network

Geoffrey E. Hinton, Oriol Vinyals · arXiv (Cornell University) · 2015 · 14K citations · Full text

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SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Forrest Iandola, Song Han, Matthew W. Moskewicz et al. · arXiv (Cornell University) · 2016 · 5.9K citations · Full text

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Model compression

Cristian Buciluǎ, Rich Caruana, Alexandru Niculescu-Mizil · 2006 · 2.1K citations

, , +14

EIE

Song Han, Xingyu Liu, Huizi Mao et al. · ACM SIGARCH Computer Architecture News · 2016 · 2K citations

, , +17

ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression

Jian-Hao Luo, Jianxin Wu, Weiyao Lin · 2017 · 2K citations

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1–5 of 1.6K

Authors

5.2K

  1. YW
    Yanzhi Wang

    Northeastern University, United States

    42 publications · 2.3K citations

    25

    h-index

  2. XL
    Xue Lin

    Northeastern University, United States

    18 publications · 1K citations

    16

    h-index

  3. SH
    Song Han

    Massachusetts Institute of Technology, United States

    18 publications · 12.9K citations

    16

    h-index

  4. CD
    Caiwen Ding

    University of Connecticut, United States

    14 publications · 860 citations

    14

    h-index

  5. XM
    Xiaolong Ma

    Northeastern University, United States

    16 publications · 863 citations

    14

    h-index

1–5 of 5.2K

Institutions

955

  1. Tsinghua University

    Beijing, China

    33 h-index

    176 publications

    15.2K citations

  2. Peking University

    Beijing, China

    29 h-index

    159 publications

    11.9K citations

  3. Chinese Academy of Sciences

    Beijing, China

    29 h-index

    157 publications

    12.2K citations

  4. University of Science and Technology of China

    Hefei, China

    24 h-index

    88 publications

    4.6K citations

  5. Shanghai Jiao Tong University

    Shanghai, China

    23 h-index

    119 publications

    6.4K citations

  6. University of Chinese Academy of Sciences

    Beijing, China

    23 h-index

    94 publications

    4.7K citations

  7. The University of Sydney

    Sydney, Australia

    22 h-index

    54 publications

    4.9K citations

  8. Google (United States)

    Mountain View, United States

    22 h-index

    73 publications

    9.3K citations

1–8 of 955

Venues

  1. arXiv (Cornell University)

    Repository · 372 publications · 48.1K citations

    76

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 52 publications · 4.2K citations

    31

    h-index

  3. 23

    h-index

  4. IEEE Access

    39 publications · 1.2K citations

    22

    h-index

  5. IEEE Internet of Things Journal

    18 publications · 711 citations

    16

    h-index

1–5