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.

7 papers of 6,984Sort Recent · Most cited
  1. 2022
    Effects of Auxiliary Knowledge on Continual LearningGiovanni Bellitto, Matteo Pennisi, Simone Palazzo … Simone CalderaraICPR · University of Catania · University of Modena and Reggio Emilia
    PDF ↗
  2. 2022
    Rethinking Task-Incremental Learning BaselinesMd. Sazzad Hossain, Pritom Saha, Townim Faisal Chowdhury … Nabeel MohammedICPR · Grameenphone (Bangladesh) · North South University
    PDF ↗
  3. 2022
    Class Incremental Learning based on Local Structure Constraints in Feature SpaceYinan Li, Ronghua Luo, Zhen-Ming HuangICPR · South China University of Technology
  4. 2022
    CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World RecognitionNikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad YaghoobiICPR · University of Edinburgh
  5. 2022
    Continual Learning for Document Image BinarizationCarlos Garrido-Munoz, Adrian Sanchez-Hernandez, Francisco J. Castellanos, Jorge Calvo-ZaragozaICPR · University of Alicante · Software (Spain)
  6. 2022
    Continual Learning via Dynamic ProgrammingRanganath Krishnan, Prasanna BalaprakashICPR · Argonne National Laboratory
  7. 2022
    KRNet: Towards Efficient Knowledge ReplayYingying Zhang, Qiaoyong Zhong, Di Xie, Shiliang PuICPR
    PDF ↗
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.