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.

7 papers of 5,456Sort Recent · Most cited
  1. 2023
    Grassmann Graph Embedding for Few-Shot Class Incremental LearningZiqi Gu, Chunyan Xu, Zhen CuiSpringer LNCS · Nanjing University of Science and Technology
  2. 2023
    Few Shot Class Incremental Learning via Grassmann Manifold and Information EntropyZiqi Gu, Zihan Lu, Han Cao, Chunyan XuElectronics · Nanjing University of Science and Technology
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  3. 2023
    Few-shot Continual Infomax LearningZiqi Gu, Chunyan Xu, Jian Yang, Zhen CuiICCV · Nanjing University of Science and Technology
  4. 2023
    Online Attentive Kernel-Based Temporal Difference LearningXingguo Chen, Guang Yang, Shangdong Yang … Yang GaoKnowledge-Based Systems · Beijing Technology and Business University · Nanjing University of Posts and Telecommunications · +3
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  5. 2023
    Boosting separated softmax with discrimination for class incremental learningLei Shi, Kai Zhao, Zhenyong FuJournal of Visual Communication and Image Representation · Nanjing University of Science and Technology
  6. 2023
    Max-margin class incremental learning with mixup augmentationD Ye, Ke Xu, Chunyan Xu, Zhen CuiFourteenth International Conference on Graphics and Image… · Nanjing University of Science and Technology · Systems Engineering Society of China
  7. 2023
    InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud RepresentationJiahua Dong, Yang Cong, Gan Sun … Ender KonukoğluTNNLS · Shenyang Institute of Automation · Chinese Academy of Sciences · +4
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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.