Multi-instance Active Learning
Multi-Instance Active Learning is an active learning paradigm in which the learner iteratively selects bags of instances, rather than individual instances, for labeling, with each bag possibly containing multiple instances and only the bag-level labels being available during the learning process.
21
Publications
1.5K
Citations
76
Authors
48
Institutions
Publications per year
2017–2026
9
Variants
Mial
Parents
21
Multiple-Instance Active Learning
Burr Settles, Mark Craven, Soumya Ray · 2007 · 466 citations
Multiple Instance Active Learning for Object Detection
Tianning Yuan, Fang Wan, Mengying Fu et al. · 2021 · 138 citations
1–5 of 21
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The University of Texas at Austin, United States
2 publications · 170 citations
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1
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1
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London School of Hygiene & Tropical Medicine, United Kingdom
1 publications · 60 citations
1
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1–5 of 76
48
Tsinghua University
Beijing, China
3 h-index
6 publications
432 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
2 h-index
5 publications
118 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
8 publications
756 citations
The University of Texas at Austin
Austin, United States
2 h-index
4 publications
340 citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
1 h-index
1 publications
60 citations
University of Central Arkansas
Conway, United States
1 h-index
1 publications
94 citations

Chinese Academy of Medical Sciences & Peking Union Medical College
Beijing, China
1 h-index
2 publications
28 citations

University Medical Center
Lubbock, United States
1 h-index
5 publications
300 citations
1–8 of 48
Conference · 2 publications · 170 citations
2
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2 publications · 76 citations
2
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1 publications · 94 citations
1
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1 publications · 51 citations
1
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1 publications · 40 citations
1
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