Concepedia

Post-training Pruning

Post-Training Pruning is a model compression technique that belongs to the category of pruning methods, specifically characterized by the removal of redundant or less important weights, neurons, or structures from a neural network after the completion of its full training phase.

14

Publications

820

Citations

51

Authors

11

Institutions

Publications per year

2017–2026

9

Parents

Publications

14

A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations

Hongrong Cheng, Miao Zhang, Qinfeng Shi · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2024 · 378 citations

, , +16

Chasing Sparsity in Vision Transformers: An End-to-End Exploration

Tianlong Chen, Yu Cheng, Zhe Gan et al. · arXiv (Cornell University) · 2021 · 85 citations · Full text

, , +15

LLM-Pruner: On the Structural Pruning of Large Language Models

Xinyin Ma, Gongfan Fang, Xinchao Wang · arXiv (Cornell University) · 2023 · 74 citations · Full text

, , +14

Maintaining the performance of a learned classifier under concept drift

Michaela Black · Intelligent Data Analysis · 1999 · 53 citations

, , +15

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 14

Authors

51

  1. ZW
    Zhangyang Wang

    The University of Texas at Austin, United States

    3 publications · 132 citations

    3

    h-index

  2. TC
    Tianlong Chen

    The University of Texas at Austin, United States

    3 publications · 132 citations

    3

    h-index

  3. HC
    Hongrong Cheng

    University of Electronic Science and Technology of China, China

    2 publications · 401 citations

    2

    h-index

  4. DC
    Decebal Constantin Mocanu

    Eindhoven University of Technology, Netherlands

    2 publications · 47 citations

    2

    h-index

  5. MP
    Mykola Pechenizkiy

    Eindhoven University of Technology, Netherlands

    2 publications · 47 citations

    2

    h-index

1–5 of 51

Institutions

11

  1. Harbin Institute of Technology

    Harbin, China

    2 h-index

    5 publications

    482 citations

  2. University of Ulster

    Coleraine, United Kingdom

    2 h-index

    3 publications

    73 citations

  3. University of Twente

    Enschede, The Netherlands

    1 h-index

    2 publications

    26 citations

  4. University of Namur

    Namur, Belgium

    1 h-index

    1 publications

    18 citations

  5. Instituto de Telecomunicações

    Lisbon, Portugal

    1 h-index

    1 publications

    18 citations

  6. University of Florence

    Florence, Italy

    1 h-index

    5 publications

    90 citations

  7. Eindhoven University of Technology

    Eindhoven, The Netherlands

    1 h-index

    3 publications

    39 citations

  8. The University of Texas at Austin

    Austin, United States

    1 h-index

    4 publications

    52 citations

1–8 of 11

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 270 citations

    6

    h-index

  2. Intelligent Data Analysis

    IDA · 2 publications · 63 citations

    2

    h-index

  3. 1

    h-index

  4. TU/e Research Portal

    Repository · 1 publications · 34 citations

    1

    h-index

  5. Neurocomputing

    1 publications · 26 citations

    1

    h-index

1–5