Rapid Adaptation

Rapid Adaptation is a meta-learning framework that enables a model to quickly adjust to new tasks with minimal data or computational steps by leveraging prior knowledge acquired from related tasks.

625

Publications

56.9K

Citations

2.8K

Authors

1K

Institutions

Publications per year

2017–2026

252

Authors

2.8K

  1. TS
    Tanja Schultz

    Carnegie Mellon University, United States

    10 publications · 455 citations

    10

    h-index

  2. JM
    Jitendra Malik

    University of California, Berkeley, United States

    5 publications · 563 citations

    5

    h-index

  3. NT
    Ngoc Thang Vu

    University of Stuttgart, Germany

    5 publications · 281 citations

    5

    h-index

  4. EC
    Eduardo Costas

    Universidad Complutense de Madrid, Spain

    4 publications · 181 citations

    4

    h-index

  5. AA
    Andrei A. Rusu

    Google DeepMind (United Kingdom), United Kingdom

    4 publications · 175 citations

    4

    h-index

1–5 of 2.8K

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 23 publications · 3.8K citations

    23

    h-index

  2. Nature Communications

    15 publications · 1.3K citations

    15

    h-index

  3. Journal of Neuroscience

    15 publications · 1.9K citations

    15

    h-index

  4. arXiv (Cornell University)

    Repository · 18 publications · 425 citations

    13

    h-index

  5. Molecular Ecology

    13 publications · 833 citations

    13

    h-index

1–5