Kernel Alignment
Kernel Alignment is a metric that quantifies the similarity between two kernel functions or between a kernel matrix and the ideal classifier alignment in the context of supervised learning.
76
Publications
4.9K
Citations
242
Authors
121
Institutions
Publications per year
2017–2026
42
Parents
76
Similarity of Neural Network Representations Revisited
Simon Kornblith, Mohammad Norouzi, Honglak Lee et al. · arXiv (Cornell University) · 2019 · 432 citations · Full text
1–5 of 76
242
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University of Electronic Science and Technology of China, China
4 publications · 372 citations
4
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4
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4
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1–5 of 242
121

National University of Defense Technology
Changsha, China
9 h-index
32 publications
2.2K citations
Suzhou University of Science and Technology
Suzhou, China
4 h-index
5 publications
387 citations

Imperial College London
London, United Kingdom
3 h-index
3 publications
160 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
9 publications
409 citations

University of Wollongong
Wollongong, Australia
3 h-index
3 publications
291 citations
University of South Carolina
Columbia, United States
2 h-index
2 publications
306 citations
Google (United States)
Mountain View, United States
2 h-index
4 publications
412 citations
Universidad Nacional de Colombia
Bogotá, Colombia
2 h-index
4 publications
89 citations
1–8 of 121
Repository · 5 publications · 640 citations
5
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TPAMI · 4 publications · 453 citations
3
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3 publications · 185 citations
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3 publications · 297 citations
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3 publications · 175 citations
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