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. 2024
    Incremental Learning for Object Detection Based on Self-Supervised LearningH. Y. Sheng, Jiapeng Zhang, Lu Wan … Qiang WangIEEE International Conference on Progress in Informatics… · Wanfang Data (China) · Zhejiang University of Science and Technology
  2. 2024
    Time Series Class-Incremental Learning with Residual Mamba EncoderBailing Zhang, Kexuan ZhouInternational Conference on Computers and Artificial Inte… · Ningbo University of Technology · NingboTech University · +1
  3. 2024
    Metaplasticity‐Enabled Graphene Quantum Dot Devices for Mitigating Catastrophic Forgetting in Artificial Neural NetworksXuemeng Fan, Anzhe Chen, Zongwen Li … Yishu ZhangAdvanced Materials · Zhejiang University of Science and Technology · Zhejiang University · +2
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  4. 2024
    RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-Based Continual LearningLongrong Yang, Hanbin Zhao, Yunlong Yu … Xi LiECCV · Zhejiang University of Science and Technology · Zhejiang University · +2
  5. 2024
    Few-Shot Class-Incremental Learning via Cross-Modal Alignment with Feature ReplayYanan Li, Linpu He, Feng Lin, Donghui WangSpringer LNCS · Zhejiang University of Science and Technology · Zhejiang Lab
  6. 2024
    Relationship-Incremental Scene Graph Generation by a Divide-and-Conquer Pipeline With Feature AdapterXuewei Li, Guangcong Zheng, Yunlong Yu … Xi LiTIP · Zhejiang University of Science and Technology · Zhejiang University · +1
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.