Concepedia

Meta-training

Meta-Training is a meta-learning process that constitutes the foundational phase in which a model acquires the ability to learn new tasks efficiently by optimizing its learning algorithm or initial parameters across a distribution of tasks, thereby distinguishing it from standard training through its higher-level, task-agnostic adaptation mechanism.

419

Publications

29.2K

Citations

1.4K

Authors

403

Institutions

Publications per year

2017–2026

363

Parents

Publications

419

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Chelsea Finn, Pieter Abbeel, Sergey Levine · arXiv (Cornell University) · 2017 · 5.8K citations · Full text

, , +14

A Perspective View and Survey of Meta-Learning

Ricardo Vilalta, Youssef Drissi · Artificial Intelligence Review · 2002 · 1.1K citations

, , +11

Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

Zhenguo Li, Fengwei Zhou, Fei Chen et al. · arXiv (Cornell University) · 2017 · 845 citations · Full text

, , +12

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Chelsea Finn, Pieter Abbeel, Sergey Levine · arXiv (Cornell University) · 2017 · 799 citations · Full text

, , +14

A Simple Neural Attentive Meta-Learner

Nikhil Mishra, Mostafa Rohaninejad, Xi Chen et al. · arXiv (Cornell University) · 2017 · 760 citations · Full text

, , +11

1–5 of 419

Authors

1.4K

  1. SL
    Sergey Levine

    University of California, Berkeley, United States

    16 publications · 7.3K citations

    15

    h-index

  2. CF
    Chelsea Finn

    University of California, Berkeley, United States

    16 publications · 7.3K citations

    15

    h-index

  3. PA
    Pieter Abbeel

    University of California, Berkeley, United States

    11 publications · 7.9K citations

    10

    h-index

  4. OS
    Osvaldo Simeone

    New Jersey Institute of Technology, United States

    7 publications · 307 citations

    7

    h-index

  5. AG
    Abhishek Gupta

    University of California, Berkeley, United States

    6 publications · 184 citations

    6

    h-index

1–5 of 1.4K

Institutions

403

  1. Google (United States)

    Mountain View, United States

    19 h-index

    50 publications

    3.8K citations

  2. University of California, Berkeley

    Berkeley, United States

    17 h-index

    40 publications

    22.6K citations

  3. Chinese Academy of Sciences

    Beijing, China

    12 h-index

    37 publications

    1.4K citations

  4. Stanford University

    Stanford, United States

    11 h-index

    22 publications

    883 citations

  5. Carnegie Mellon University

    Pittsburgh, United States

    11 h-index

    25 publications

    2K citations

  6. University of Electronic Science and Technology of China

    Chengdu, China

    9 h-index

    33 publications

    1.2K citations

  7. University College London

    London, United Kingdom

    8 h-index

    15 publications

    458 citations

  8. University of Chinese Academy of Sciences

    Beijing, China

    8 h-index

    24 publications

    1.3K citations

1–8 of 403

Venues

  1. arXiv (Cornell University)

    Repository · 109 publications · 13.8K citations

    37

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 13 publications · 624 citations

    13

    h-index

  3. Neurocomputing

    10 publications · 650 citations

    10

    h-index

  4. Neural Information Processing Systems

    Conference · 6 publications · 790 citations

    6

    h-index

  5. IEEE Internet of Things Journal

    5 publications · 190 citations

    5

    h-index

1–5