Transferability Analysis
Transferability Analysis is a methodological framework within model calibration that evaluates the generalization capacity of a model’s calibrated predictions across distinct domains, tasks, or datasets by systematically assessing the preservation of calibration properties under distributional shifts.
107
Publications
8.2K
Citations
410
Authors
221
Institutions
Publications per year
2017–2026
54
Parents
107
1–5 of 107
410
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221
University of California, Los Angeles
Los Angeles, United States
6 h-index
12 publications
1.5K citations
Amazon (Germany)
Berlin, Germany
3 h-index
5 publications
147 citations

University of British Columbia
Vancouver, Canada
3 h-index
5 publications
181 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
284 citations
National University of Singapore
Singapore, Singapore
2 h-index
2 publications
59 citations
Centre Hospitalier Régional et Universitaire de Nancy
Nancy, France
2 h-index
3 publications
124 citations
Norwegian University of Science and Technology
Trondheim, Norway
2 h-index
5 publications
149 citations
Virginia Tech
Blacksburg, United States
2 h-index
5 publications
154 citations
1–8 of 221
TRR · 9 publications · 410 citations
9
h-index
3 publications · 124 citations
3
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Conference · 3 publications · 105 citations
3
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Repository · 3 publications · 1.5K citations
3
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2 publications · 52 citations
2
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1–5