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.

58 papers of 6,984 · showing 51–58Sort Recent · Most cited
  1. 2023
    Online Visual SLAM Adaptation against Catastrophic Forgetting with Cycle-Consistent Contrastive LearningSangni Xu, Hao Xiong, Qiuxia Wu … Zhiyong WangICRA · The University of Sydney · South China University of Technology · +3
  2. 2023
    Few-Shot Class-Incremental Audio Classification Using Dynamically Expanded Classifier With Self-Attention Modified PrototypesYanxiong Li, Wenchang Cao, Wei Xie … Emmanouil BenetosIEEE Trans. Multimedia · South China University of Technology · Queen Mary University of London
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  3. 2024
    Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning SystemJie Du, Peng Liu, Chi‐Man Vong … C. L. Philip ChenTNNLS · Shenzhen University Health Science Center · University of Macau · +2
  4. 2022
    Class Incremental Learning based on Local Structure Constraints in Feature SpaceYinan Li, Ronghua Luo, Zhen-Ming HuangICPR · South China University of Technology
  5. 2023
    KNNENS: A k-Nearest Neighbor Ensemble-Based Method for Incremental Learning Under Data Stream With Emerging New ClassesJianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold PedryczTNNLS · South China University of Technology · Guangzhou First People's Hospital · +2
  6. 2020
    A Two-phase Prototypical Network Model for Incremental Few-shot Relation ClassificationHaopeng Ren, Yi Cai, Xiaofeng Chen … Qing LiCOLING · Ministry of Natural Resources · South China University of Technology · +1
  7. 2019
    Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-CorrectionFengda Zhu, Xiaojun Chang, Runhao Zeng, Mingkui TanarXiv · South China University of Technology
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  8. 2019
    Hierarchical Lifelong Learning by Sharing Representations and Integrating HypothesisTong Zhang, Guoxi Su, Chunmei Qing … Xiaofen XingIEEE Transactions · South China University of Technology
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.