Concepedia

Layer Pruning

Layer Pruning is a model compression technique in deep learning that selectively removes entire layers from a neural network architecture to reduce computational complexity while preserving performance.

593

Publications

47.2K

Citations

2K

Authors

528

Institutions

Publications per year

2017–2026

520

Parents

Publications

593

Learning Efficient Convolutional Networks through Network Slimming

Zhuang Liu, Jianguo Li, Zhiqiang Shen et al. · 2017 · 2.6K citations

, , +14

Channel Pruning for Accelerating Very Deep Neural Networks

Yihui He, Xiangyu Zhang, Jian Sun · 2017 · 2.5K citations

, , +12

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

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

, , +15

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Jonathan Frankle, Michael Carbin · arXiv (Cornell University) · 2018 · 1.3K citations · Full text

, , +12

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

1–5 of 593

Authors

2K

  1. YW
    Yanzhi Wang

    Northeastern University, United States

    10 publications · 469 citations

    10

    h-index

  2. RJ
    Rongrong Ji

    Xiamen University, China

    9 publications · 1.2K citations

    9

    h-index

  3. XL
    Xue Lin

    Northeastern University, United States

    9 publications · 216 citations

    9

    h-index

  4. JH
    Jungong Han

    Lancaster University, United Kingdom

    9 publications · 704 citations

    9

    h-index

  5. CZ
    Changshui Zhang

    Tsinghua University, China

    8 publications · 3.2K citations

    8

    h-index

1–5 of 2K

Institutions

528

  1. Tsinghua University

    Beijing, China

    23 h-index

    73 publications

    10.4K citations

  2. Peking University

    Beijing, China

    15 h-index

    43 publications

    2.9K citations

  3. Chinese Academy of Sciences

    Beijing, China

    13 h-index

    45 publications

    1.4K citations

  4. Massachusetts Institute of Technology

    Cambridge, United States

    13 h-index

    28 publications

    7.3K citations

  5. Xidian University

    Xi'an, China

    13 h-index

    56 publications

    2K citations

  6. Nanyang Technological University

    Singapore, Singapore

    12 h-index

    28 publications

    995 citations

  7. University of Chinese Academy of Sciences

    Beijing, China

    11 h-index

    32 publications

    1.6K citations

  8. Beihang University

    Beijing, China

    11 h-index

    25 publications

    1.6K citations

1–8 of 528

Venues

  1. arXiv (Cornell University)

    Repository · 139 publications · 11.9K citations

    48

    h-index

  2. Neurocomputing

    21 publications · 1.6K citations

    18

    h-index

  3. IEEE Access

    16 publications · 693 citations

    14

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 14 publications · 502 citations

    13

    h-index

  5. Neural Networks

    12 publications · 429 citations

    11

    h-index

1–5