Generalization Measurement
Generalization Measurement is a methodological framework within behavioral measurement that systematically assesses the extent to which observed behaviors, responses, or performance outcomes extend across contexts, conditions, or populations beyond the specific settings in which they were initially trained or measured.
59
Publications
6.9K
Citations
147
Authors
78
Institutions
Publications per year
2017–2026
17
Parents
59
Exploring Generalization in Deep Learning
Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester et al. · Neural Information Processing Systems · 2017 · 489 citations
Exploring Generalization in Deep Learning
Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester et al. · arXiv (Cornell University) · 2017 · 296 citations · Full text
1–5 of 59
147
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Toyota Technological Institute at Chicago, United States
2 publications · 785 citations
2
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2
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1–5 of 147
78

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
3 publications
33 citations
University of California, Berkeley
Berkeley, United States
2 h-index
6 publications
177 citations
University of Oregon
Eugene, United States
2 h-index
4 publications
486 citations

United States Naval Research Laboratory
Washington, United States
1 h-index
1 publications
470 citations
Universidad San Francisco de Quito
Quito, Ecuador
1 h-index
2 publications
60 citations

University of Hawaii System
Honolulu, United States
1 h-index
1 publications
17 citations
University of Oxford
Oxford, United Kingdom
1 h-index
3 publications
159 citations

University of Liverpool
Liverpool, United Kingdom
1 h-index
2 publications
26 citations
1–8 of 78
JABA · 6 publications · 3.6K citations
6
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MBR · 3 publications · 85 citations
3
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Repository · 3 publications · 413 citations
3
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2 publications · 72 citations
2
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Repository · 2 publications · 59 citations
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1–5