Ensemble Knowledge
Ensemble Knowledge is a scholarly contribution in the field of musical knowledge that integrates multiple individual models, methods, or datasets into a unified framework to enhance analytical accuracy, interpretive depth, or predictive performance in musical contexts.
27
Publications
15K
Citations
111
Authors
39
Institutions
Publications per year
2017–2026
25
Parents
27
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton, Oriol Vinyals · arXiv (Cornell University) · 2015 · 14K citations · Full text
Ensemble Knowledge Transfer for Semantic Segmentation
Ishan Nigam, Chen Huang, Deva Ramanan · 2018 · 110 citations
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39

Xidian University
Xi'an, China
2 h-index
5 publications
200 citations
Wuhan University
Wuhan, China
2 h-index
3 publications
53 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
5 publications
534 citations

Peking University
Beijing, China
2 h-index
2 publications
48 citations
Tianjin University
Tianjin, China
1 h-index
4 publications
68 citations

Hunan University
Changsha, China
1 h-index
4 publications
260 citations
Laboratoire Lorrain de Recherche en Informatique et ses Applications
Nancy, France
1 h-index
6 publications
156 citations

Monash University
Melbourne, Australia
1 h-index
1 publications
21 citations
1–8 of 39
Repository · 4 publications · 14.1K citations
4
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Conference · 1 publications · 58 citations
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1 publications · 16 citations
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TFS · 1 publications · 45 citations
1
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1 publications · 65 citations
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1–5