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.

6 papers of 5,456Sort Recent · Most cited
  1. 2026
    Exploring the Potential of Class-Specific Encoding for Few-Shot Object DetectionWei Zhou, Zongling Li, Shu Hu … Xin WangIEEE TETCI · Chengdu University of Information Technology · Purdue University West Lafayette · +3
  2. 2025
    Multi-Attribute Continual Learning for Blind Image Quality AssessmentYunhao Luo, Jinming Liu, Wei Zhou, Xin JinIEEE International Symposium on Circuits and Systems (ISCAS) · University of Electronic Science and Technology of China · Ningbo Institute of Industrial Technology · +1
  3. 2025
    LODAP: On-Device Incremental Learning Via Lightweight Operations and Data PruningDuan, Biqing, Qing Wang, Di Liu … Shengfa MiaoJournal of systems architecture
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  4. 2022
    LIQA: Lifelong Blind Image Quality AssessmentJianzhao Liu, Wei Zhou, Xin Li … Zhibo ChenIEEE Trans. Multimedia · University of Science and Technology of China
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  5. 2021
    MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong LearningChengyu Wang, Haojie Pan, Yuan Liu … Deng CaiKDD · Alibaba Group (China) · Zhejiang University
  6. 2021
    A Fixed Version of Quadratic Program in Gradient Episodic MemoryWei Zhou, Yiying LiarXiv · National University of Defense Technology
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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 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.