Concepedia

Few-shot Continual Learning

Few-Shot Continual Learning is a continual learning paradigm that enables models to rapidly adapt to new tasks from limited labeled examples while preserving knowledge of previously encountered tasks, thereby addressing the dual challenges of data scarcity and catastrophic forgetting in sequential learning scenarios.

30

Publications

949

Citations

154

Authors

55

Institutions

Publications per year

2017–2026

30

Parents

Publications

30

Few-Shot Lifelong Learning

Pratik Mazumder, Pravendra Singh, Piyush Rai · 2021 · 114 citations

, , +16

Brain-inspired global-local learning incorporated with neuromorphic computing

Yujie Wu, Rong Zhao, Jun Zhu et al. · Nature Communications · 2022 · 108 citations · Full text

, , +17

Adaptive Knowledge Transfer by Continual Weighted Updating of Filter Kernels for Few-Shot Fault Diagnosis of Machines

Saibo Xing, Yaguo Lei, Bin Yang et al. · IEEE Transactions on Industrial Electronics · 2021 · 79 citations

, , +14

Wheat Disease Classification Using Continual Learning

Abdulaziz Alharbi, Muhammad Usman Ghani Khan, Bushra Tayyaba · IEEE Access · 2023 · 52 citations · Full text

, , +17

Intelligent Beamforming via Physics-Inspired Neural Networks on Programmable Metasurface

Shangyang Li, Zhuoyang Liu, Shilei Fu et al. · IEEE Transactions on Antennas and Propagation · 2022 · 50 citations

, , +14

1–5 of 30

Authors

154

  1. MC
    M. Caccia

    European Organization for Nuclear Research, Switzerland

    3 publications · 68 citations

    3

    h-index

  2. DM
    Davide Maltoni

    University of Bologna, Italy

    2 publications · 51 citations

    2

    h-index

  3. LP
    Lorenzo Pellegrini

    University of Bologna, Italy

    2 publications · 51 citations

    2

    h-index

  4. MP
    Marc Pickett

    Google (United States), United States

    2 publications · 51 citations

    2

    h-index

  5. QS
    Qi She

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 51 citations

    2

    h-index

1–5 of 154

Institutions

55

  1. Google (United States)

    Mountain View, United States

    3 h-index

    6 publications

    175 citations

  2. Chinese Academy of Sciences

    Beijing, China

    3 h-index

    8 publications

    219 citations

  3. Tokyo Institute of Technology

    Tokyo, Japan

    2 h-index

    2 publications

    51 citations

  4. University of Bristol

    Bristol, United Kingdom

    2 h-index

    2 publications

    51 citations

  5. University of Cambridge

    Cambridge, United Kingdom

    2 h-index

    2 publications

    51 citations

  6. Mila - Quebec Artificial Intelligence Institute

    Montreal, Canada

    2 h-index

    2 publications

    51 citations

  7. University of Bologna

    Bologna, Italy

    2 h-index

    6 publications

    153 citations

  8. Universität Hamburg

    Hamburg, Germany

    2 h-index

    2 publications

    51 citations

1–8 of 55

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 180 citations

    10

    h-index

  2. 2

    h-index

  3. 1

    h-index

  4. IEEE Transactions on Antennas and Propagation

    1 publications · 50 citations

    1

    h-index

  5. IEEE Access

    1 publications · 52 citations

    1

    h-index

1–5