Confidence Learning
Confidence Learning is a machine learning framework that systematically adjusts model confidence estimates to align with empirical accuracy through iterative calibration and feedback.
54
Publications
3.1K
Citations
204
Authors
88
Institutions
Publications per year
2017–2026
37
Parents
54
Confidence-weighted linear classification
Mark Dredze, Koby Crammer, Fernando Pereira · 2008 · 376 citations
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
Jaemin Na, Heechul Jung, Hyung Jin Chang et al. · 2021 · 225 citations · Full text
Exact Convex Confidence-Weighted Learning
Koby Crammer, Mark Dredze, Fernando Pereira · 2008 · 127 citations
1–5 of 54
204
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Institute of Information Science, Academia Sinica, Taiwan
2 publications · 155 citations
2
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2
h-index
1–5 of 204
88
Tsinghua University
Beijing, China
5 h-index
13 publications
711 citations
Google (United States)
Mountain View, United States
4 h-index
4 publications
608 citations

Johns Hopkins University
Baltimore, United States
4 h-index
4 publications
152 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
8 publications
294 citations
Stanford University
Stanford, United States
3 h-index
5 publications
115 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
7 publications
1.3K citations

National University of Defense Technology
Changsha, China
2 h-index
2 publications
73 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
2 h-index
2 publications
28 citations
1–8 of 88
Repository · 7 publications · 248 citations
7
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Conference · 3 publications · 92 citations
3
h-index
2 publications · 119 citations
2
h-index
Conference · 2 publications · 155 citations
2
h-index
1 publications · 18 citations
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1–5