Task Relatedness Modeling
Task Relatedness Modeling is a computational framework that characterizes the interdependencies among multiple learning tasks by identifying shared structures, statistical relationships, or inductive biases that distinguish it from general multi-task learning approaches.
129
Publications
10.2K
Citations
357
Authors
155
Institutions
Publications per year
2017–2026
58
Parents
129
Regularized multi--task learning
Theodoros Evgeniou, Massimiliano Pontil · 2004 · 1.5K citations
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
Jiaqi Ma, Zhe Zhao, Xinyang Yi et al. · 2018 · 1.1K citations · Full text
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Hong Kong University of Science and Technology, Hong Kong SAR China
6 publications · 762 citations
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155

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
7 h-index
12 publications
1.3K citations
Michigan State University
East Lansing, United States
5 h-index
9 publications
239 citations
Arizona State University
Tempe, United States
5 h-index
11 publications
893 citations
University of Science and Technology of China
Hefei, China
5 h-index
10 publications
329 citations
University of Utah
Salt Lake City, United States
4 h-index
7 publications
387 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
4 h-index
9 publications
364 citations
Tsinghua University
Beijing, China
4 h-index
8 publications
719 citations
University of Michigan
Ann Arbor, United States
3 h-index
4 publications
1.3K citations
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Repository · 16 publications · 886 citations
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Conference · 9 publications · 288 citations
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6 publications · 212 citations
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3 publications · 151 citations
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TKDE · 3 publications · 92 citations
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