Concepedia

Prompt-based Continual Learning

Prompt-Based Continual Learning is a continual learning paradigm that employs learnable or static textual prompts to condition a pre-trained model's representations, thereby enabling sequential task acquisition without modifying the model's parameters and distinguishing itself from other continual learning approaches through its reliance on input-side prompt tuning to mitigate catastrophic forgetting.

18

Publications

1.5K

Citations

97

Authors

34

Institutions

Publications per year

2017–2026

18

Parents

Publications

18

Learning to Prompt for Continual Learning

Zifeng Wang, Zizhao Zhang, Chen‐Yu Lee et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 654 citations

, , +7

CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning

Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla et al. · 2023 · 248 citations

, , +12

Fake news detection via knowledgeable prompt learning

Gongyao Jiang, Shuang Liu, Yu Zhao et al. · Information Processing & Management · 2022 · 81 citations

, , +9

Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation

Yulu Gan, Yan Bai, Yihang Lou et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2023 · 75 citations · Full text

, , +16

A Unified Continual Learning Framework with General Parameter-Efficient Tuning

Qiankun Gao, Chen Zhao, Yifan Sun et al. · 2023 · 75 citations

, , +8

1–5 of 18

Authors

97

  1. VG
    Vyshnavi Gutta

    Georgia Institute of Technology, United States

    2 publications · 261 citations

    2

    h-index

  2. RP
    Rameswar Panda

    IBM (United States), United States

    2 publications · 261 citations

    2

    h-index

  3. YG
    Yulu Gan

    Peking University, China

    2 publications · 90 citations

    2

    h-index

  4. BG
    Bernard Ghanem

    King Abdullah University of Science and Technology, Saudi Arabia

    2 publications · 120 citations

    2

    h-index

  5. PC
    Paola Cascante-Bonilla

    IBM (United States), United States

    2 publications · 261 citations

    2

    h-index

1–5 of 97

Institutions

34

  1. Shenzhen Institute of Information Technology

    Shenzhen, China

    2 h-index

    4 publications

    159 citations

  2. Peking University

    Beijing, China

    2 h-index

    9 publications

    375 citations

  3. King Abdullah University of Science and Technology

    Jeddah, Saudi Arabia

    2 h-index

    7 publications

    375 citations

  4. Google (United States)

    Mountain View, United States

    2 h-index

    9 publications

    5.3K citations

  5. King University

    Bristol, United States

    1 h-index

    5 publications

    75 citations

  6. Adobe Systems (United States)

    San Jose, United States

    1 h-index

    1 publications

    45 citations

  7. Westlake University

    Hangzhou, China

    1 h-index

    6 publications

    228 citations

  8. Rice University

    Houston, United States

    1 h-index

    1 publications

    248 citations

1–8 of 34

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 124 citations

    5

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 75 citations

    1

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5