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

Authors

252

  1. XZ
    Xianchao Zhang

    Dalian University of Technology, China

    4 publications · 147 citations

    4

    h-index

  2. XZ
    Xiaotong Zhang

    Dalian University of Technology, China

    4 publications · 147 citations

    4

    h-index

  3. ED
    Ewa Deelman

    University of Southern California, United States

    3 publications · 586 citations

    3

    h-index

  4. LC
    Lawrence Carin

    Duke University, United States

    3 publications · 63 citations

    3

    h-index

  5. DB
    David B. Dunson

    Duke University, United States

    3 publications · 63 citations

    3

    h-index

1–5 of 252

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 989 citations

    6

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 2.3K citations

    3

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 70 citations

    3

    h-index

  4. 2

    h-index

  5. Information Sciences

    2 publications · 35 citations

    2

    h-index

1–5