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Related work

The foundational work on continual learning, 1959 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

6 papers of 11,817Sort Recent · Most cited
2020 South China University of Technology Clear all
  1. 2020
    A Hybrid Recursive Implementation of Broad Learning With Incremental FeaturesDi Liu, Simone Baldi, Wenwu Yu, C. L. Philip ChenTNNLS · Southeast University · Delft University of Technology · +1
  2. 2020
    Weighted Generalized Cross-Validation-Based Regularization for Broad Learning SystemMin Gan, Hongtao Zhu, Guangyong Chen, C. L. Philip ChenIEEE Trans. Cybernetics · Fuzhou University · University of Macau · +1
  3. 2020
    Neural-Learning-Based Force Sensorless Admittance Control for Robots With Input DeadzoneGuangzhu Peng, C. L. Philip Chen, Wei He, Chenguang YangIEEE Transactions · University of Macau · South China University of Technology · +3
  4. 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
  5. 2020
    Sparse Bayesian Broad Learning System for Probabilistic Estimation of PredictionLili Xu, C. L. Philip Chen, Ruizhi HanIEEE Access · University of Macau · Beijing Normal University · +2
  6. 2020
    A New Cloud Robots Training Method Using Cooperative LearningGuanglong Du, Zhiyao Wang, Zhelin LiIEEE Access · 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 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.