Pruning-stabilization Trade-off
Pruning-Stabilization Trade-Off is a theoretical framework in neural network optimization that characterizes the inherent conflict between the extent of parameter removal during model pruning and the consequent degradation in training dynamics or post-pruning model performance stability.
18
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770
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35
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2017–2026
12
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Lizhi Liao, Heng Li, Weiyi Shang et al. · ACM Transactions on Software Engineering and Methodology · 2022 · 198 citations
Stabilizing the Lottery Ticket Hypothesis
Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy et al. · arXiv (Cornell University) · 2019 · 146 citations · Full text
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy et al. · arXiv (Cornell University) · 2019 · 100 citations · Full text
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Beijing Academy of Artificial Intelligence
Beijing, China
1 h-index
2 publications
26 citations

Universidade de Pernambuco
Recife, Brazil
1 h-index
2 publications
54 citations

Peking University
Beijing, China
1 h-index
3 publications
99 citations

University of Surrey
Guildford, United Kingdom
1 h-index
1 publications
13 citations
Association of Electronic and Information Technologies
Donostia / San Sebastian, Spain
1 h-index
2 publications
32 citations

Polytechnique Montréal
Montreal, Canada
1 h-index
1 publications
198 citations
Moscow Institute of Thermal Technology
Moscow, Russia
1 h-index
1 publications
100 citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
1 h-index
1 publications
32 citations
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3 publications · 54 citations
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Repository · 3 publications · 277 citations
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3 publications · 45 citations
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2 publications · 50 citations
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TOSEM · 1 publications · 198 citations
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