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.

13 papers of 5,456Sort Recent · Most cited
  1. 2025
    Continual Learning for Multilingual Neural Machine Translation via Meta-Contrastive Memory ReplayLin Zhou, Degen Huang, Junpeng Liu … Kaiyu HuangSpringer LNCS · Dalian University of Technology · Université de Montréal · +1
  2. 2025
  3. 2025
    Knowledge Distillation of Class Activation Maps from Two Teachers for Continual LearningMinkai Sheng, Hyung-Jun Moon, Sung‐Bae ChoSpringer LNCS · Yonsei University
  4. 2025
    PromptDSI: Prompt-Based Rehearsal-Free Continual Learning for Document RetrievalTuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang … Thanh-Toan DoSpringer LNCS · Monash University
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  5. 2025
    Brain Generative Replay for Continual LearningJian‐Guo Zhou, Dongjun Liu, Wanzeng KongSpringer LNCS · Zhejiang Lab · Hangzhou Dianzi University
  6. 2025
    Plant in Cupboard, Orange on Rably, Inat Aphone. Benchmarking Incremental Learning of Situation and Language Model using a Text-Simulated Situated EnvironmentJonathan Jordan, Sherzod Hakimov, David SchlangenSpringer LNCS · University of Potsdam · German Research Centre for Artificial Intelligence
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  7. 2025
    Modelleyen: Continual Learning and Planning via Structured Modelling of Environment DynamicsZeki Doruk Erden, Boi FaltingsSpringer LNCS · École Polytechnique Fédérale de Lausanne
  8. 2025
    Flat Local Minima for Continual Learning on Semantic SegmentationZhongzhan Huang, Mingfu Liang, Senwei Liang, Shanshan ZhongSpringer LNCS · Sun Yat-sen University · Northwestern University · +1
  9. 2025
    A Novel Class Incremental Learning Method via Multi-granularity Balance Inspired by Human Granular Cognition MechanismYan Xian, Hong Yu, Ye Wang, Guoyin WangSpringer LNCS · Chongqing University of Posts and Telecommunications · Chongqing University · +1
  10. 2025
    Incremental and Decremental Continual Learning for Privacy-Preserving Video RecognitionLorenzo Caselli, Simone Magistri, Tommaso Bianconcini … Andrew D. BagdanovSpringer LNCS · University of Florence · Serviço Nacional de Aprendizagem Industrial
  11. 2025
    PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction TasksPhilip Matthias Winter, M Wimmer, Astrid Berg … Katja BühlerSpringer LNCS · VRVis GmbH (Austria)
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  12. 2025
    A System 1 and System 2 Perspective on Continual Learning for Practical ImplementationVivek Chavan, Oliver Heimann, Jörg KrügerSpringer LNCS · Fraunhofer Institute for Production Systems and Design Technology · Technische Universität Berlin
  13. 2025
    Fine-Grained Transformer Encoder of Image-Text Retrieval for Streaming Data in Cross-Modal Continual LearningHanlin Li, Jiaqiyu Zhan, Yuesheng Zhu, Guibo LuoSpringer LNCS · Peking University Shenzhen Hospital
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.