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Related work

The foundational work on continual learning, 1980 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

116 papers of 8,653 · showing 101–116Sort Recent · Most cited
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  1. 2020
    Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learningFangzhou Xiong, Zhiyong Liu, Kaizhu Huang … Amir HussainNeural Networks · Shandong Institute of Automation · Institute of Automation · +7
  2. 2020
    Progressive learning: A deep learning framework for continual learningHaytham M. Fayek, Lawrence Cavedon, Hong Ren WuNeural Networks · RMIT University
  3. 2019
    Uncertainty-based modulation for lifelong learningAndrew Brna, Ryan C. Brown, Patrick Connolly … Mario Aguilar-SimonNeural Networks · Triangle · Teledyne Technologies (United States)
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  4. 2018
    Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learningDeboleena Roy, Priyadarshini Panda, Kaushik RoyNeural Networks · Purdue University West Lafayette
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  5. 2019
    Adaptive Resonance Theory in the time scales calculusJohn SeifferttNeural Networks · Providence College
  6. 2018
    Continuous Learning in Single-Incremental-Task ScenariosDavide Maltoni, Vincenzo LomonacoNeural Networks · University of Bologna
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  7. 2017
    Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural NetworksAndrea Soltoggio, Kenneth O. Stanley, Sebastian RisiNeural Networks · Loughborough University · University of Central Florida · +1
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  8. 2018
    Evolving Spiking Neural Networks for online learning over drifting data streamsJesús L. Lobo, Ibai Laña, Javier Del Ser … Nikola KasabovNeural Networks · Euskadiko Parke Teknologikoa · University of the Basque Country · +2
  9. 2018
    Continual Lifelong Learning with Neural Networks: A ReviewG. I. Parisi, Ronald Kemker, Jose L. Part … Stefan WermterNeural Networks
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  10. 2017
    Lifelong learning of human actions with deep neural network self-organizationGerman I. Parisi, Jun Tani, Cornelius Weber, Stefan WermterNeural Networks · Universität Hamburg · Hamburg University of Technology · +1
  11. 2006
    Recurrent neural network architecture with pre-synaptic inhibition for incremental learningHiroyuki Ohta, Yukio GunjiNeural Networks · Kobe University
  12. 2002
    A Self-Organising Network That Grows When RequiredAuthors pendingNeural Networks
  13. 2001
    Life-long learning Cell Structures--continuously learning without catastrophic interferenceFred H. HamkerNeural Networks · California Institute of Technology
  14. 1998
    Distributed ARTMAP: a neural network for fast distributed supervised learningGail A. Carpenter, Boriana L. Milenova, Benjamin W. NoeskeNeural Networks · Boston University · Adaptive Cognitive Systems
  15. 1997
    Distributed Learning, Recognition, and Prediction by ART and ARTMAP Neural NetworksGail A. CarpenterNeural Networks · Boston University
  16. 1996
    Gaussian ARTMAP: A Neural Network for Fast Incremental Learning of Noisy Multidimensional MapsJames R. WilliamsonNeural Networks · Boston University
About this index

We keep this list because we read the field and wanted one place to see it. It covers work on continual learning itself, in the core areas of machine learning, and leaves out papers that apply it inside another field, such as medical imaging or fault diagnosis. It is seeded from the community lists kept by ContinualAI and by Xialei Liu, then filled out from OpenAlex, and every week a script looks for new papers on OpenAlex and arXiv. A model reads each candidate and decides whether it belongs; a person reviews the additions before they go live. Authors and affiliations come from OpenAlex, so a recent preprint can lack its institutions for a week or two.

Missing something, or filed under the wrong venue? Write to hello@unify.ai with the arXiv id or DOI.