Methods › General › Model Compression › Pruning

Pruning

3,874 papers tagged archive 2025-07-28

Introduced by Hao Li et al. in Pruning Filters for Efficient ConvNets

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

30 shown of 3,874, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 792 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Network Pruning453
Model Compression357
Quantization333
Image Classification195
image-classification174
Knowledge Distillation161
Language Modelling159
GPU146
Language Modeling133
Computational Efficiency96
Federated Learning96
Transfer Learning90
Neural Architecture Search85
Object Detection84
object-detection83
Semantic Segmentation69
Diversity62
Large Language Model62
Neural Network Compression62
Retrieval62

Usage over time archive 2025-07-28

Papers per year tagged with Pruning: 2016 to 2025, peak 848 848 0 2016: 15 papers 2016 2017: 74 papers 2017 2018: 175 papers 2018 2019: 281 papers 2019 2020: 414 papers 2020 2021: 524 papers 2021 2022: 462 papers 2022 2023: 591 papers 2023 2024: 848 papers 2024 2025: 490 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (3,874 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Model Compression

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