Concepedia

Catastrophic Forgetting

Catastrophic Forgetting is a phenomenon in continual learning wherein a neural network, when adapting to new tasks, undergoes a drastic loss of previously acquired knowledge due to excessive interference in shared representations, thereby impairing its ability to retain performance on earlier tasks.

1.6K

Publications

120.6K

Citations

4.4K

Authors

1.2K

Institutions

Publications per year

2017–2026

953

Parents

Publications

1.6K

Overcoming catastrophic forgetting in neural networks

James Kirkpatrick, Razvan Pascanu, Neil C. Rabinowitz et al. · Proceedings of the National Academy of Sciences · 2017 · 7.2K citations · Full text

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Learning to Forget: Continual Prediction with LSTM

Felix A. Gers, Jürgen Schmidhuber, Fred Cummins · Neural Computation · 2000 · 5.4K citations

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Learning without Forgetting

Zhizhong Li, Derek Hoiem · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2017 · 3.8K citations

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Learning to forget: continual prediction with LSTM

Felix A. Gers · 1999 · 2.4K citations

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ALCOVE: An exemplar-based connectionist model of category learning.

John K. Kruschke · Psychological Review · 1992 · 1.6K citations

, , +14

1–5 of 1.6K

Authors

4.4K

  1. CK
    Christopher Kanan

    Rochester Institute of Technology, United States

    15 publications · 1.7K citations

    13

    h-index

  2. TL
    Tyler L. Hayes

    Rochester Institute of Technology, United States

    13 publications · 1.3K citations

    13

    h-index

  3. MY
    Mohamad Y. Jaber

    Toronto Metropolitan University, Canada

    14 publications · 1.1K citations

    13

    h-index

  4. RP
    Razvan Pascanu

    Google (United States), United States

    12 publications · 8.7K citations

    12

    h-index

  5. VL
    Vincenzo Lomonaco

    University of Bologna, Italy

    12 publications · 612 citations

    12

    h-index

1–5 of 4.4K

Institutions

1.2K

  1. Chinese Academy of Sciences

    Beijing, China

    24 h-index

    115 publications

    6.6K citations

  2. Tsinghua University

    Beijing, China

    24 h-index

    115 publications

    11.4K citations

  3. University of Chinese Academy of Sciences

    Beijing, China

    23 h-index

    83 publications

    5K citations

  4. Peking University

    Beijing, China

    19 h-index

    60 publications

    2.3K citations

  5. Nanyang Technological University

    Singapore, Singapore

    17 h-index

    50 publications

    5.4K citations

  6. Centre National de la Recherche Scientifique

    Paris, France

    16 h-index

    48 publications

    3.5K citations

  7. University of Toronto

    Toronto, Canada

    16 h-index

    40 publications

    4.4K citations

  8. Google (United States)

    Mountain View, United States

    16 h-index

    62 publications

    9.8K citations

1–8 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 239 publications · 13.5K citations

    56

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 37 publications · 2.5K citations

    26

    h-index

  3. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 24 publications · 8.1K citations

    22

    h-index

  4. Memory & Cognition

    35 publications · 1.8K citations

    22

    h-index

  5. 21

    h-index

1–5