Concepedia

Meta-learning For Continual Learning

Meta-Learning for Continual Learning is a computational framework that belongs to the class of continual learning methodologies and is distinguished by its use of meta-learning strategies to acquire and adapt learning algorithms across sequential tasks, thereby enhancing forward transfer and mitigating catastrophic forgetting.

37

Publications

2.7K

Citations

147

Authors

58

Institutions

Publications per year

2017–2026

36

Parents

Publications

37

Continual Learning for Robotics: Definition, Framework, Learning\n Strategies, Opportunities and Challenges

Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian et al. · arXiv (Cornell University) · 2019 · 492 citations · Full text

, , +12

Learning to Learn without Forgetting by Maximizing Transfer and\n Minimizing Interference

Matthew Riemer, Ignacio Cases, Robert Ajemian et al. · arXiv (Cornell University) · 2018 · 348 citations · Full text

, , +14

Meta Networks

Tsendsuren Munkhdalai, Hong Yu · arXiv (Cornell University) · 2017 · 214 citations · Full text

, , +15

Meta networks

Tsendsuren Munkhdalai, Hong Yu · International Conference on Machine Learning · 2017 · 197 citations

, , +15

Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion

Shuangming Yang, Jiangtong Tan, Badong Chen · Entropy · 2022 · 156 citations · Full text

, , +15

1–5 of 37

Authors

147

  1. HY
    Hong Yu

    University of Massachusetts Amherst, United States

    3 publications · 436 citations

    3

    h-index

  2. TM
    Tsendsuren Munkhdalai

    Chungbuk National University, South Korea

    3 publications · 436 citations

    3

    h-index

  3. IR
    Irina Rish

    IBM (United States), United States

    2 publications · 449 citations

    2

    h-index

  4. MW
    Martha White

    University of Alberta, Canada

    2 publications · 36 citations

    2

    h-index

  5. RA
    Robert Ajemian

    Massachusetts Institute of Technology, United States

    2 publications · 449 citations

    2

    h-index

1–5 of 147

Institutions

58

  1. University of Massachusetts Boston

    Boston, United States

    3 h-index

    6 publications

    872 citations

  2. University of Alberta

    Edmonton, Canada

    2 h-index

    6 publications

    94 citations

  3. University of California, Berkeley

    Berkeley, United States

    2 h-index

    3 publications

    228 citations

  4. Xi'an Jiaotong University

    Xi'an, China

    2 h-index

    2 publications

    175 citations

  5. Tsinghua University

    Beijing, China

    2 h-index

    23 publications

    1.7K citations

  6. University of Science and Technology of China

    Hefei, China

    2 h-index

    3 publications

    197 citations

  7. Chinese Institute for Brain Research

    Beijing, China

    2 h-index

    5 publications

    389 citations

  8. Massachusetts Institute of Technology

    Cambridge, United States

    2 h-index

    2 publications

    191 citations

1–8 of 58

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 1.5K citations

    13

    h-index

  2. 2

    h-index

  3. International Conference on Machine Learning

    Conference · 1 publications · 197 citations

    1

    h-index

  4. International Conference on Learning Representations

    Conference · 1 publications · 90 citations

    1

    h-index

  5. 1

    h-index

1–5