Concepedia

Multi-task Continual Learning

Multi-Task Continual Learning is a continual learning paradigm that, as a unified framework, simultaneously acquires multiple tasks in a sequential manner while preserving previously learned knowledge and enabling knowledge transfer across tasks to improve generalization and mitigate catastrophic forgetting.

38

Publications

2.1K

Citations

158

Authors

53

Institutions

Publications per year

2017–2026

37

Variants

Mtcl

Parents

Publications

38

ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding

Yu Sun, Shuohuan Wang, Yukun Li et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · 738 citations · Full text

, , +16

Continual Learning with Deep Generative Replay

Hanul Shin, Jung Kwon Lee, Jaehong Kim et al. · arXiv (Cornell University) · 2017 · 202 citations · Full text

, , +13

Deep Generative Dual Memory Network for Continual Learning

Nitin Kamra, Umang Gupta, Yan Liu · arXiv (Cornell University) · 2017 · 126 citations · Full text

, , +15

ERNIE 2.0: A Continual Pre-training Framework for Language Understanding

Yu Sun, Shuohuan Wang, Yukun Li et al. · arXiv (Cornell University) · 2019 · 75 citations · Full text

, , +16

Layerwise Optimization by Gradient Decomposition for Continual Learning

Shixiang Tang, Dapeng Chen, Jinguo Zhu et al. · 2021 · 59 citations

, , +12

1–5 of 38

Authors

158

  1. MF
    Mehrdad Farajtabar

    Georgia Institute of Technology, United States

    4 publications · 72 citations

    4

    h-index

  2. DG
    Dilan Görür

    University College London, United Kingdom

    2 publications · 44 citations

    2

    h-index

  3. AS
    Andrew Saxe

    University of Oxford, United Kingdom

    2 publications · 79 citations

    2

    h-index

  4. TL
    Timothée Lesort

    Laboratoire d’Informatique et Systèmes, France

    2 publications · 55 citations

    2

    h-index

  5. HW
    Haifeng Wang

    Baidu (China), China

    2 publications · 813 citations

    2

    h-index

1–5 of 158

Institutions

53

  1. Washington State University

    Pullman, United States

    2 h-index

    4 publications

    88 citations

  2. Arizona State University

    Tempe, United States

    2 h-index

    7 publications

    83 citations

  3. Xi'an Jiaotong University

    Xi'an, China

    2 h-index

    2 publications

    108 citations

  4. Google (United States)

    Mountain View, United States

    2 h-index

    5 publications

    101 citations

  5. Peking University

    Beijing, China

    2 h-index

    7 publications

    110 citations

  6. Baidu (China)

    Beijing, China

    2 h-index

    14 publications

    5.7K citations

  7. Chinese Academy of Sciences

    Beijing, China

    2 h-index

    6 publications

    210 citations

  8. École Nationale Supérieure de Techniques Avancées

    Palaiseau, France

    1 h-index

    1 publications

    35 citations

1–8 of 53

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 690 citations

    14

    h-index

  2. 3

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 757 citations

    2

    h-index

  4. IEEE Transactions on Industrial Informatics

    2 publications · 42 citations

    2

    h-index

  5. PLoS Computational Biology

    1 publications · 53 citations

    1

    h-index

1–5