Related work

The foundational work on continual learning, 1989 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

10 papers of 5,456Sort Recent · Most cited
  1. 2025
    Bayesian continual learning and forgetting in neural networksDjohan Bonnet, Kellian Cottart, Tifenn Hirtzlin … Damien QuerliozNature Communications · Centre National de la Recherche Scientifique · Université Paris-Saclay · +4
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  2. 2025
    XAI‐Guided Continual Learning: Rationale, Methods, and Future DirectionsMichela Proietti, Alessio Ragno, Roberto CapobiancoWiley · Sapienza University of Rome · Centre National de la Recherche Scientifique · +3
  3. 2025
    Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series ForecastingNouha Karaouli, Denis Coquenet, Élisa Fromont … Marina ReybozarXiv · Institut de Recherche en Informatique et Systèmes Aléatoires · Université de Rennes · +7
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  4. 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
  5. 2025
    Autonomous retrieval for continuous learning in associative memory networksPaul Saighi, M. J. RozenbergFrontiers · Centre National de la Recherche Scientifique · Université Paris-Saclay · +4
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  6. 2025
    A Continual Offline Reinforcement Learning Benchmark for Navigation TasksAnthony Kobanda, Odalric-Ambrym Maillard, Rémy PortelasIEEE Conference on Games (CoG) · Centre National de la Recherche Scientifique · Université de Lille · +4
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  7. 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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  8. 2025
    CapyMOA: Efficient Machine Learning for Data Streams and Online Continual Learning in PythonHeitor Murilo Gomes, Anton Lee, Nuwan Gunasekara … Albert BifetarXiv · Centre National de la Recherche Scientifique · Sorbonne Université
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  9. 2025
    Exploring continual learning strategies in artificial neural networks through graph-based analysis of connectivity: Insights from a brain-inspired perspectiveLucrezia Carboni, Dwight Nwaigwe, Marion Mainsant … Sophie AchardNeural Networks · Centre National de la Recherche Scientifique · Inserm · +10
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  10. 2025
    Semantic Anchors Facilitate Task Encoding in Continual LearningMina Habibi, Pieter Verbeke, Mehdi Senoussi, Senne BraemOpen Mind · Ghent University · University College West Flanders · +2
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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 written 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.