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.

6 papers of 5,456Sort Recent · Most cited
  1. 2026
    Active Continual Learning with Metaplastic Binary Bayesian Neural NetworksKellian Cottart, Théo Ballet, Djohan Bonnet, Damien QuerliozICML
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  2. 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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  3. 2023
    Bayesian Metaplasticity from Synaptic UncertaintyDjohan Bonnet, Tifenn Hirtzlin, Tarcisius Januel … Elisa VianelloarXiv
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  4. 2023
    Synaptic metaplasticity with multi-level memristive devicesS. D’Agostino, Filippo Moro, Tifenn Hirtzlin … Elisa VianelloInternational Conference on Artificial Intelligence Circu… · Commissariat à l'Énergie Atomique et aux Énergies Alternatives · Laboratoire d'Électronique des Technologies de l'Information · +4
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  5. 2021
    Memory Efficient Invertible Neural Networks for Class-Incremental LearningGuillaume Hocquet, Olivier Bichler, Damien QuerliozIEEE 3rd International Conference on Artificial Intellige… · Commissariat à l'Énergie Atomique et aux Énergies Alternatives · Laboratoire d'Intégration des Systèmes et des Technologies · +2
  6. 2020
    OvA-INN: Continual Learning with Invertible Neural NetworksGuillaume Hocquet, Olivier Bichler, Damien QuerliozIJCNN · Commissariat à l'Énergie Atomique et aux Énergies Alternatives · Laboratoire d'Intégration des Systèmes et des Technologies · +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.