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.

9 papers of 4,574Sort Recent · Most cited
  1. 2025
    ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental LearningJongseo Lee, Kyungho Bae, Kyle Min … Jinwoo ChoiICCV · Kyung Hee University · Dansk Sygehus Institut · +1
    PDF ↗
  2. 2025
    SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMsDinithi Jayasuriya, Sina Tayebati, Davide Ettori … Amit Ranjan TrivediIJCNN · University of Illinois Chicago · Intel (United States)
    PDF ↗
  3. 2024
    SimCS: Simulation for Domain Incremental Online Continual SegmentationMotasem Alfarra, Zhipeng Cai, Adel Bibi … Matthias MüllerAAAI · Intel (United States) · King Abdullah University of Science and Technology · +1
    PDF ↗
  4. 2023
    A Definition of Open-Ended Learning Problems for Goal-Conditioned AgentsOlivier Sigaud, Gianluca Baldassarre, Cédric Colas … Vieri Giuliano SantucciarXiv · Sorbonne Université · Institut Systèmes Intelligents et de Robotique · +5
    PDF ↗
  5. 2023
    CLNeRF: Continual Learning Meets NeRFZhipeng Cai, Matthias MüllerICCV · Intel (United States)
    PDF ↗
  6. 2023
    Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence ModelsShuzheng Gao, Hongyu Zhang, Cuiyun Gao, Chaozheng WangIEEE/ACM 45th International Conference on Software Engine… · Intel (United States) · Harbin Institute of Technology · +3
    PDF ↗
  7. 2020
    Drinking From a Firehose: Continual Learning With Web-Scale Natural LanguageHexiang Hu, Ozan Şener, Fei Sha, Vladlen KoltunTPAMI · University of Southern California · Intel (United States)
    PDF ↗
  8. 2021
    Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual DataZhipeng Cai, Ozan Şener, Vladlen KoltunICCV · Intel (United States)
    PDF ↗
  9. 2020
    Rapid online learning and robust recall in a neuromorphic olfactory circuitNabil Imam, Thomas A. ClelandNature Machine Intelligence · Intel (United States) · Cornell University
    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, 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.