Related work

The foundational work on continual learning, 1988 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

8 papers of 6,984Sort Recent · Most cited
  1. 2025
    Entropy-Guided Self-regulated Learning Without Forgetting for Distribution-Shift Continual Learning with Blurred Task BoundariesRui Yang, Matthieu Grard, Emmanuel Dellandréa, Liming ChenSpringer CCIS · Lyon 1 Université · École Centrale de Lyon · +4
  2. 2025
    Online Continual Learning of Diffusion Models: Multi-Mode Adaptive Generative DistillationRui Yang, Matthieu Grard, Emmanuel Dellandréa, Liming ChenICIP · Lyon 1 Université · École Centrale de Lyon · +4
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  3. 2024
    Imbalanced Data Robust Online Continual Learning Based on Evolving Class Aware Memory Selection and Built-In Contrastive Representation LearningRui Yang, Emmanuel Dellandréa, Matthieu Grard, Liming ChenICIP · Lyon 1 Université · École Centrale de Lyon · +3
  4. 2024
    Advancements and Challenges in Continual Learning for Natural Language Processing: Insights and Future ProspectsAsma Kharrat, Fadoua Drira, Franck Lebourgeois, Bertrand KerautretInternational Conference on Agents and Artificial Intelli… · University of Sfax · Lyon 1 Université · +4
  5. 2023
    Exploring Continual Learning and Self-learning for Historical Digit RecognitionAsma Kharrat, Fadoua Drira, Franck Lebourgeois, Christophe GarcíaInternational Conference on Cyberworlds (CW) · University of Sfax · Lyon 1 Université · +2
  6. 2023
    Toward Digits Recognition Using Continual LearningAsma Kharrat, Fadoua Drira, Franck Lebourgeois, Christophe GarcíaIEEE 25th International Workshop on Multimedia Signal Pro… · University of Sfax · Lyon 1 Université · +2
  7. 2021
    Novelty detection for unsupervised continual learning in image sequencesRuiqi Dai, Mathieu Lefort, Frédéric Armetta … Stefan DuffnerIEEE 33rd International Conference on Tools with Artifici… · Lyon 1 Université · Centre National de la Recherche Scientifique · +3
  8. 2021
    Self-supervised Continual Learning for Object Recognition in Image SequencesRuiqi Dai, Mathieu Lefort, Frédéric Armetta … Stefan DuffnerSpringer CCIS · Lyon 1 Université · Centre National de la Recherche Scientifique · +3
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 lists only papers we have a reason to trust: published at a venue like NeurIPS, ICML, ICLR, CVPR or TPAMI, or led by someone who has published there, or cited a few hundred times. Preprints that later get accepted, and authors who later publish at those venues, are picked up by the weekly run. 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.