Pruning Thresholds
Pruning Thresholds is a criterion—a quantifiable value or condition that determines the extent or selectivity of parameter removal in model compression—distinguishing it from other pruning mechanisms by specifying the precise point at which weights, neurons, or connections are eliminated based on magnitude, sensitivity, or saliency metrics.
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732
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27
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2017–2026
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Entropy-based Pruning of Backoff Language Models
Andreas Stolcke · ArXiv.org · 2000 · 267 citations · Full text
X-Pruner: eXplainable Pruning for Vision Transformers
Optimization based Layer-wise Magnitude-based Pruning for DNN Compression
Guiying Li, Chao Qian, Chunhui Jiang et al. · 2018 · 55 citations · Full text
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Huawei Technologies (Canada)
Markham, Canada
1 h-index
1 publications
30 citations
Jiangsu University of Science and Technology
Zhenjiang, China
1 h-index
3 publications
72 citations
Indian Institute of Technology Indore
Indore, India
1 h-index
1 publications
48 citations

James Cook University
Townsville, Australia
1 h-index
1 publications
62 citations

Hohai University
Nanjing, China
1 h-index
1 publications
92 citations
University of Science and Technology of China
Hefei, China
1 h-index
3 publications
165 citations
Civil Aviation Administration of China
Beijing, China
1 h-index
1 publications
10 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
1 h-index
1 publications
18 citations
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2 publications · 117 citations
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Repository · 2 publications · 51 citations
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1 publications · 10 citations
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1 publications · 24 citations
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Repository · 1 publications · 267 citations
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