Concepedia

Multi-task Regularization

Multi-Task Regularization is a methodological framework within multi-task learning that imposes inductive biases by constraining model parameters across related tasks to enhance generalization through shared structural assumptions.

144

Publications

11.2K

Citations

421

Authors

177

Institutions

Publications per year

2017–2026

69

Parents

Publications

144

Regularized multi--task learning

Theodoros Evgeniou, Massimiliano Pontil · 2004 · 1.5K citations

, , +12

Learning Multiple Tasks with Kernel Methods

Theodoros Evgeniou, Charles A. Micchelli, Massimiliano Pontil · 2005 · 838 citations

, , +12

Semi-supervised Medical Image Segmentation through Dual-task Consistency

Xiangde Luo, Jieneng Chen, Tao Song et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 639 citations · Full text

, , +17

DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

Hao Chen, Xiaojuan Qi, Lequan Yu et al. · 2016 · 552 citations

, , +16

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks

Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka et al. · 2017 · 533 citations · Full text

, , +16

1–5 of 144

Authors

421

  1. MP
    Massimiliano Pontil

    University College London, United Kingdom

    8 publications · 2.9K citations

    8

    h-index

  2. YZ
    Yu Zhang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    7 publications · 874 citations

    7

    h-index

  3. JY
    Jieping Ye

    Arizona State University, United States

    5 publications · 357 citations

    5

    h-index

  4. CA
    Charles A. Micchelli

    IBM Research - Thomas J. Watson Research Center, United States

    5 publications · 1.4K citations

    5

    h-index

  5. PG
    Pinghua Gong

    Tsinghua University, China

    4 publications · 225 citations

    4

    h-index

1–5 of 421

Institutions

177

  1. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    6 h-index

    10 publications

    1.4K citations

  2. Carnegie Mellon University

    Pittsburgh, United States

    6 h-index

    13 publications

    1.9K citations

  3. Arizona State University

    Tempe, United States

    5 h-index

    9 publications

    467 citations

  4. Chinese Academy of Sciences

    Beijing, China

    5 h-index

    8 publications

    248 citations

  5. University College London

    London, United Kingdom

    4 h-index

    7 publications

    2.1K citations

  6. Tsinghua University

    Beijing, China

    4 h-index

    11 publications

    462 citations

  7. Stanford University

    Stanford, United States

    4 h-index

    16 publications

    637 citations

  8. Nanyang Technological University

    Singapore, Singapore

    4 h-index

    10 publications

    432 citations

1–8 of 177

Venues

  1. arXiv (Cornell University)

    Repository · 29 publications · 1K citations

    17

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 10 publications · 1.2K citations

    10

    h-index

  3. Medical Image Analysis

    3 publications · 81 citations

    3

    h-index

  4. IEEE Transactions on Cybernetics

    3 publications · 70 citations

    3

    h-index

  5. Neurocomputing

    3 publications · 108 citations

    3

    h-index

1–5