Heavy Pruning
Heavy Pruning is a pruning strategy within the field of model optimization that entails the aggressive removal of a substantial proportion of network weights or structural components, significantly reducing model size and complexity to enhance computational efficiency while risking diminished performance.
17
Publications
429
Citations
46
Authors
29
Institutions
Publications per year
2017–2026
2
Parents
17
FURTHER OBSERVATIONS ON JUVENILE AND ADULT HEDERA
William J. Rôbbins · American Journal of Botany · 1960 · 37 citations
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Michigan State University
East Lansing, United States
2 h-index
8 publications
132 citations

Agricultural Research Service
Washington, United States
1 h-index
1 publications
36 citations

Chiba University
Chiba, Japan
1 h-index
1 publications
15 citations

Uppsala University
Uppsala, Sweden
1 h-index
2 publications
88 citations
Institute of Botany
Yerevan, Armenia
1 h-index
1 publications
17 citations

Indian Institute of Technology Hyderabad
Sangāreddi, India
1 h-index
3 publications
57 citations

Washington State University
Pullman, United States
1 h-index
1 publications
13 citations
Hokkaido Research Organization
Sapporo, Japan
1 h-index
4 publications
60 citations
1–8 of 29
2 publications · 38 citations
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2 publications · 51 citations
2
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2 publications · 80 citations
2
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1 publications · 14 citations
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1 publications · 16 citations
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