Related work

The foundational work on continual learning, 1959 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

25 papers of 11,817Sort Recent · Most cited
  1. 2026
    Towards self-adaptive learning: A comprehensive survey on continual learning under harsh conditionsR. Razavi-Far, Ehsan Hallaji, Alireza Fathalizadeh … Mohammad RostamiNeurocomputing
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  3. 2025PDF ↗
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  6. 2024
    Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual LearningMohammadamin Banayeeanzade, Mahdi Soltanolkotabi, Mohammad RostamiTrans. Mach. Learn. Res.
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  7. 2024
    CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question AnsweringYuliang Cai, Mohammad RostamiJournal of Artificial Intelligence Research
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  8. 2024PDF ↗
  9. 2023PDF ↗
  10. 2023PDF ↗
  11. 2021
    Cognitively Inspired Learning of Incremental Drifting ConceptsMohammad Rostami, Aram GalstyanIJCAI · University of Southern California · California Southern University
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  12. 2023PDF ↗
  13. 2023
    I2I: Initializing Adapters with Improvised KnowledgeTejas Srinivasan, Fu-Rong Jia, Mohammad Rostami, Jesse ThomasonCoLLAs
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  14. 2023PDF ↗
  15. 2023PDF ↗
  16. 2022
    CLiMB: A Continual Learning Benchmark for Vision-and-Language TasksTejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva … Jesse ThomasonNeurIPS
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  17. 2021
    Detection and Continual Learning of Novel Face Presentation AttacksMohammad Rostami, Leonidas Spinoulas, Mohamed E. Hussein … Wael AbdAlmageedICCV
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  18. 2021
    Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot LearningXisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang RenEMNLP · University of Southern California · Biomedical Research Institute of Southern California · +1
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  19. 2021
  20. 2019
    Generative Continual Concept LearningMohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClellandAAAI · California University of Pennsylvania · HRL Laboratories (United States) · +1
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  21. 2017
    Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot TransferMohammad Rostami, David Isele, Eric EatonJournal of Artificial Intelligence Research · California University of Pennsylvania
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  22. 2019
    Complementary Learning for Overcoming Catastrophic Forgetting Using Experience ReplayMohammad Rostami, Soheil Kolouri, Praveen K. PillyIJCAI · California University of Pennsylvania · University of Pennsylvania · +1
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  23. 2017
    Multi-Agent Distributed Lifelong Learning for Collective Knowledge AcquisitionMohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric EatonAdaptive Agents and Multi-Agent Systems · University of Pennsylvania · HRL Laboratories (United States)
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  24. 2018
    Lifelong Learning Networks: Beyond Single Agent Lifelong LearningMohammad Rostami, Eric EatonAAAI · California University of Pennsylvania
  25. 2017
    Transfer of Knowledge through Collective LearningMohammad RostamiAAAI · California University of Pennsylvania
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 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.