Related work

The foundational work on continual learning, 1991 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

11 papers of 4,574Sort Recent · Most cited
  1. 2022
    Exemplar-Free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift CompensationMarco Cotogni, Fei Yang, Claudio Cusano … Joost van de WeijerIJCV · University of Pavia · BGI Group (China) · +4
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  2. 2024
    Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental LearningXialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov … Ming‐Ming ChengCVPR · Nankai University · University of Florence · +1
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  3. 2023
    Masked Autoencoders are Efficient Class Incremental LearnersJiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov … Ming‐Ming ChengICCV · Nankai University · University of Florence · +1
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  4. 2023
    Continual Learning with Pretrained Backbones by Tuning in the Input SpaceSimone Marullo, Matteo Tiezzi, Marco Gori … Tinne TuytelaarsIJCNN · University of Siena · University of Florence · +1
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  5. 2022
    CL2R: Compatible Lifelong Learning RepresentationsNiccolò Biondi, Federico Pernici, Matteo Bruni … Alberto Del BimboACM Transactions · University of Florence
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  6. 2022
    Continually Learning Self-Supervised Representations with Projected Functional RegularizationAlex Gomez-Villa, Bartłomiej Twardowski, Yu Lu … Joost van de WeijerCVPR · Universitat Autònoma de Barcelona · Tianjin University of Technology · +1
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  7. 2022
    Contrastive Supervised Distillation for Continual Representation LearningTommaso Barletti, Niccolò Biondi, Federico Pernici … Alberto Del BimboSpringer LNCS · University of Florence
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  8. 2022
    Evaluating Continual Learning Algorithms by Generating 3D Virtual EnvironmentsEnrico Meloni, Alessandro Betti, Lapo Faggi … Stefano MelacciSpringer LNCS · University of Siena · University of Florence
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  9. 2021
    Class-incremental Learning with Pre-allocated Fixed ClassifiersFederico Pernici, Matteo Bruni, Claudio Baecchi … Alberto Del BimboICPR · Florence (Netherlands) · University of Florence
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  10. 2020
    Generative Feature Replay For Class-Incremental LearningXialei Liu, Chenshen Wu, Mikel Menta … Joost van de WeijerCVPR · Universitat Autònoma de Barcelona · University of Florence · +1
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  11. 2018
    Rotate your Networks: Better Weight Consolidation and Less Catastrophic ForgettingXialei Liu, Marc Masana, Luis Herranz … Andrew D. BagdanovICPR · Computer Vision Center · University of Florence
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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 led by someone who has published there, or cited a few hundred times, and only papers with a PDF we can point you at, so every title opens the paper itself. 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.