Positive Learning
Positive Learning is a semi-supervised learning paradigm that leverages only positive-labeled examples and unlabeled data to train a model, distinguishing itself from other semi-supervised approaches by excluding negative or class-complementary labels during training.
503
Publications
21.8K
Citations
1.4K
Authors
660
Institutions
Publications per year
2017–2026
180
Parents
503
NLNL: Negative Learning for Noisy Labels
Young‐Dong Kim, Junho Yim, Juseung Yun et al. · 2019 · 302 citations
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660

The University of Sydney
Sydney, Australia
7 h-index
14 publications
1K citations

The University of Melbourne
Melbourne, Australia
6 h-index
8 publications
635 citations

University of Helsinki
Helsinki, Finland
6 h-index
7 publications
391 citations

Pennsylvania State University
State College, United States
6 h-index
10 publications
618 citations

The University of Queensland
Brisbane, Australia
5 h-index
10 publications
379 citations

University of Toronto
Toronto, Canada
5 h-index
9 publications
239 citations

East China Normal University
Shanghai, China
5 h-index
17 publications
692 citations
Nanjing University of Science and Technology
Nanjing, China
5 h-index
12 publications
540 citations
1–8 of 660
6 publications · 151 citations
7
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6 publications · 158 citations
6
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Repository · 5 publications · 359 citations
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5 publications · 192 citations
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5 publications · 188 citations
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