Task Clustering
Task Clustering is a multi-task learning method that partitions a set of learning tasks into groups based on their semantic, functional, or parameter-sharing similarities to improve model efficiency and performance through structured knowledge transfer.
91
Publications
7.1K
Citations
252
Authors
134
Institutions
Publications per year
2017–2026
40
Parents
91
A Survey on Multi-Task Learning
Yu Zhang, Qiang Yang · IEEE Transactions on Knowledge and Data Engineering · 2021 · 2.2K citations
A Survey on Multi-Task Learning
Yu Zhang, Qiang Yang · arXiv (Cornell University) · 2017 · 621 citations · Full text
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134
Dalian University of Technology
Dalian, China
4 h-index
14 publications
544 citations
Tsinghua University
Beijing, China
4 h-index
7 publications
287 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
4 h-index
7 publications
3.5K citations
Duke University
Durham, United States
3 h-index
8 publications
152 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
3 h-index
7 publications
341 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
5 publications
214 citations
University of Southern California
Los Angeles, United States
3 h-index
7 publications
1.2K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
8 publications
271 citations
1–8 of 134
Repository · 6 publications · 989 citations
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TKDE · 3 publications · 2.3K citations
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Conference · 3 publications · 70 citations
3
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TPAMI · 2 publications · 161 citations
2
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2 publications · 35 citations
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