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Keyword

continual learning

Description: A machine learning approach in which models learn from a sequence of tasks or data while retaining knowledge acquired earlier.
Wikidata ID: wiki/Q114958157
OpenAlex ID: keywords/continual-learning
Overcoming catastrophic forgetting in neural networks
2017 · James Kirkpatrick, Razvan Pascanu, et al. · Proceedings of the National Academy of Sciences · 7,727
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A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
1989 · Ronald J. Williams, David Zipser · Neural Computation · 4,368
Learning without Forgetting
2017 · Zhizhong Li, Derek Hoiem · IEEE Transactions on Pattern Analysis and Machine Intelligence · 4,175
Continual lifelong learning with neural networks: A review
2019 · German I. Parisi, Ronald Kemker, et al. · Neural Networks · 3,103
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Toward an Architecture for Never-Ending Language Learning
2010 · Andrew Carlson, Justin Betteridge, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1,969
Continual Learning Through Synaptic Intelligence
2017 · Zenke, Friedemann, Poole, Ben, et al. · PubMed · 1,783
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A continual learning survey: Defying forgetting in classification tasks
2021 · Matthias Delange, Rahaf Aljundi, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1,640
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Gradient Episodic Memory for Continual Learning
2017 · Lopez-Paz, David, Ranzato, Marc'Aurelio · arXiv (Cornell University) · 1,402
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Continual Learning with Deep Generative Replay
2017 · Shin, Hanul, Lee, Jung Kwon, et al. · arXiv (Cornell University) · 1,387
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PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
2018 · Arun Mallya, Svetlana Lazebnik · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,257
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Learning a Unified Classifier Incrementally via Rebalancing
2019 · Saihui Hou, Xinyu Pan, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,188
End-to-End Incremental Learning
2018 · Francisco M. Castro, Manuel J. Marín-Jiménez, et al. · Lecture notes in computer science · 1,182
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A Comprehensive Survey of Continual Learning: Theory, Method and Application
2024 · Liyuan Wang, Xingxing Zhang, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1,089
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Classifier systems and genetic algorithms
1989 · L.B. Booker, D.E. Goldberg, et al. · Artificial Intelligence · 956
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
2013 · Goodfellow, Ian J., Mirza, Mehdi, et al. · arXiv (Cornell University) · 873
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Learning to Prompt for Continual Learning
2022 · Zifeng Wang, Zizhao Zhang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 819
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Class-Incremental Learning: Survey and Performance Evaluation on Image Classification
2022 · Marc Masana, Xialei Liu, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 735
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Meta Networks
2017 · Tsendsuren Munkhdalai, Hong Yu · arXiv (Cornell University) · 694
iMAP: Implicit Mapping and Positioning in Real-Time
2021 · Edgar Sucar, Shikun Liu, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 690
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A Survey on Curriculum Learning
2021 · Xin Wang, Yudong Chen, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 690
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Measuring Catastrophic Forgetting in Neural Networks
2018 · Ronald Kemker, Marc McClure, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 670
Three types of incremental learning
2022 · Gido M. van de Ven, Tinne Tuytelaars, et al. · Nature Machine Intelligence · 658
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Learning Without Forgetting
2016 · Zhizhong Li, Derek Hoiem · Lecture notes in computer science · 655
Overcoming catastrophic forgetting with hard attention to the task
2018 · Serr\`a, Joan, Sur\'is, D\'idac, et al. · arXiv (Cornell University) · 564
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Task representations in neural networks trained to perform many cognitive tasks
2019 · Guangyu Robert Yang, Madhura R. Joglekar, et al. · Nature Neuroscience · 547
Works count: 10,920
Citation count: 123,400
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