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.

9 papers of 6,493Sort Recent · Most cited
  1. 2025
    Where’s That Voice Coming? Continual Learning for Sound Source LocalizationYang Xiao, Rohan Kumar DasIEEE International Conference on Multimedia and Expo (ICME)
    PDF ↗
  2. 2025
    CLIP-driven Few-Shot Continual LearningZiqi Gu, Chunyan Xu, Zhen CuiIEEE International Conference on Multimedia and Expo (ICME) · Nanjing University of Science and Technology · Beijing Normal University
  3. 2025
    CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object DetectionMingyi Guo, Yuyang Liu, Zhiyuan Yan … Yonghong TianIEEE International Conference on Multimedia and Expo (ICME) · Peking University
    PDF ↗
  4. 2025
    Exploring Flexibility in Incremental Few-Shot Object DetectionDongdong Gong, Tengfei Gong, Yaxiong Chen … Shengwu XiongIEEE International Conference on Multimedia and Expo (ICME) · Artificial Intelligence in Medicine (Canada)
  5. 2025
    GLRB: Heterogeneous Federated Continual Learning via Global and Local RebalanceHaodong Zhang, Yang Liu, Zihan JiangIEEE International Conference on Multimedia and Expo (ICME) · Tianjin University
  6. 2025
    Leveraging Multiple Deep Experts for Online Class-incremental LearningZhe Tao, Lu Yu, Hantao Yao, Changsheng XuIEEE International Conference on Multimedia and Expo (ICME) · Tianjin University of Technology · University of Science and Technology of China · +2
  7. 2025
    Mitigating Knowledge Forgetting by Generative Knowledge Replay and Forgetting-aware Aggregation in Semi-Supervised Federated LearningHongquan Liu, Yixin Ren, Jihong Guan, Shuigeng ZhouIEEE International Conference on Multimedia and Expo (ICME) · Fudan University · Tongji University
  8. 2025
    ReFEdit: Rehearsal-Free Lifelong Knowledge Editing for Large Language ModelsXianjie Mo, Youcheng Pan, Yongshuai Hou … Yang XiangIEEE International Conference on Multimedia and Expo (ICME) · Peng Cheng Laboratory
  9. 2025
    RKU: Relevant Knowledge-aware Unlearning for Federated Continual LearningHaodong Zhang, Liu Yang, Zihan JiangIEEE International Conference on Multimedia and Expo (ICME) · Tianjin University
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.