Weakly Supervised Labeling
Weakly Supervised Labeling is an image labeling paradigm that belongs to the broader category of supervised learning methods, distinguished by its reliance on incomplete, inexact, or imprecise supervision signals—such as image-level labels instead of pixel-level annotations—thereby reducing the dependency on densely annotated training data.
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2017–2026
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Multi-aspect Sentiment Analysis with Topic Models
Bin Lu, Myle Ott, Claire Cardie et al. · 2011 · 256 citations
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Chinese Academy of Sciences
Beijing, China
7 h-index
31 publications
1.1K citations
Georgia Institute of Technology
Atlanta, United States
6 h-index
15 publications
450 citations
Peng Cheng Laboratory
Shenzhen, China
5 h-index
9 publications
324 citations
National University of Singapore
Singapore, Singapore
4 h-index
8 publications
754 citations

University of Toronto
Toronto, Canada
4 h-index
8 publications
890 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
4 h-index
20 publications
1.7K citations
Google (United States)
Mountain View, United States
4 h-index
7 publications
2.7K citations
Nanyang Technological University
Singapore, Singapore
4 h-index
13 publications
867 citations
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Repository · 21 publications · 824 citations
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Conference · 4 publications · 220 citations
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4 publications · 177 citations
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