Model Consolidation
Model Consolidation is a singular academic contribution that integrates, refines, or synthesizes existing models, methods, or frameworks within a domain to produce a unified, more effective, or generalized approach that advances the state of the art.
12
Publications
645
Citations
49
Authors
20
Institutions
Publications per year
2017–2026
5
Parents
12
Class-incremental Learning via Deep Model Consolidation
Junting Zhang, Jie Zhang, Shalini Ghosh et al. · 2020 · 329 citations
A consolidation model for estimating the settlement of warm permafrost
Hu Zhang, Jianming Zhang, Zhilong Zhang et al. · Computers and Geotechnics · 2016 · 43 citations
Class-incremental Learning via Deep Model Consolidation
Junting Zhang, Jie Zhang, Shalini Ghosh et al. · arXiv (Cornell University) · 2019 · 29 citations · Full text
1–5 of 12
49
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2
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2
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2
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2
h-index
1–5 of 49
20
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
1 h-index
7 publications
112 citations
Centre for Polar Observation and Modelling
Leeds, United Kingdom
1 h-index
2 publications
32 citations
Research!America (United States)
Alexandria, United States
1 h-index
3 publications
987 citations

Kobe University
Kobe, Japan
1 h-index
1 publications
25 citations
Nanjing University of Posts and Telecommunications
Nanjing, China
1 h-index
3 publications
258 citations
University of Southern California
Los Angeles, United States
1 h-index
4 publications
1.3K citations
Samsung (United States)
Ridgefield Park, United States
1 h-index
3 publications
987 citations
University College London
London, United Kingdom
1 h-index
3 publications
48 citations
1–8 of 20
Repository · 2 publications · 42 citations
2
h-index
JGR · 2 publications · 40 citations
2
h-index
1 publications · 25 citations
1
h-index
1 publications · 14 citations
1
h-index
CAS · 1 publications · 16 citations
1
h-index
1–5