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.

33 papers of 11,817Sort Recent · Most cited
  1. 2026
  2. 2026
  3. 2026
    CIBLS-PLS: A Class-Incremental Broad Learning System With Pseudolabel-Guided Stacked StructureXin Liu, Zhaoyin Shi, Shuanghao Zhang … C. L. Philip ChenIEEE TAI
  4. 2026
    Decision Boundary Drift: A Security, Privacy, and Trust Risk of Continual Learning for Agentic AI in Edge NetworksKaixiang Yang, Yue-Bin Xu, Zhi-Hao Li … C. L. Philip ChenIEEE Transactions
  5. 2025
    Hybrid Ensemble Framework for Imbalanced Data Streams With Concept DriftMianfen Lin, Zhiwen Yu, Kaixiang Yang, C. L. Philip ChenIEEE Transactions
  6. 2025
    Addressing Client Drift in Federated Learning via Class-Prototype Similarity Distillation and Adaptive MaskYu-bao Yan, Chun-Mei Feng, Mang Ye … C. L. Philip ChenIEEE Trans. Cybernetics
  7. 2025
    Dynamic Broad Metric LearningXiaoman Hu, C. L. Philip Chen, Tong ZhangIEEE TAI
  8. 2025
  9. 2025
    SGB-Net: Scalable Graph Broad NetworkYue-Bin Xu, C. L. Philip Chen, Meng-Qi Wu, Tong ZhangTNNLS
  10. 2025
    Broad learning system based on fractional order optimizationDan Zhang, Tong Zhang, Zhang Tao, C. L. Philip ChenNeural Networks
  11. 2024
    AdaBoost-Stacking Based on Incremental Broad Learning SystemFan Yun, Zhiwen Yu, Kaixiang Yang, C. L. Philip ChenTKDE
  12. 2024
    Incremental Learning Algorithms for Broad Learning System with Node and Input AdditionGuang-Ze Chen, Junwei Jin, Hai-Wei Sun, C. L. Philip ChenIEEE International Conference on Systems, Man and Cyberne…
  13. 2024
  14. 2024
    Detecting Cloud Anomaly via Broad Network-Based Contrastive AutoencoderGuo-Xiang Zhong, Fagui Liu, Jun Jiang … C. L. Philip ChenIEEE Transactions
  15. 2024
    Robust Incremental Broad Learning System for Data Streams of Uncertain ScaleLin-Jun Zhong, C. L. Philip Chen, Ji-Feng Guo, Tong ZhangTNNLS
  16. 2023
    When Broad Learning System Meets Label Noise Learning: A Reweighting Learning FrameworkLicheng Liu, Junhao Chen, Bin Yang … C. L. Philip ChenTNNLS
  17. 2023
    Rethinking Client Drift in Federated Learning: A Logit PerspectiveYu-bao Yan, Chun-Mei Feng, Mang Ye … C. L. Philip ChenarXiv
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  18. 2023PDF ↗
  19. 2023
    Broad Minimax Probability Learning System and its Application in Regression ModelingFei Chu, Tao Liang, C. L. Philip Chen … Xuesong WangIEEE Transactions
  20. 2022
    Efficient Named Entity Recognition Based on Broad Learning System and BERTYudi Wang, Yi Zuo, Tieshan Li, C. L. Philip ChenInternational Conference on Data-driven Optimization of C… · Dalian Maritime University · University of Electronic Science and Technology of China
  21. 2022
    BASS: Broad Network Based on Localized Stochastic SensitivityTing Wang, Mingyang Zhang, Jianjun Zhang … C. L. Philip ChenTNNLS · Guangzhou First People's Hospital · South China University of Technology · +2
  22. 2021
    Frequency Principle in Broad Learning SystemGuangyong Chen, Min Gan, C. L. Philip Chen … Long ChenTNNLS · Fuzhou University · South China University of Technology · +1
  23. 2021
    Face Sketch Synthesis Using Regularized Broad Learning SystemPing Li, Bin Sheng, C. L. Philip ChenTNNLS · Hong Kong Polytechnic University · Shanghai Jiao Tong University · +3
  24. 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
  25. 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
  26. 2020
    BNGBS: An efficient network boosting system with triple incremental learning capabilities for more nodes, samples, and classesLiangjun Feng, Chunhui Zhao, C. L. Philip Chen … Chuan FuNeurocomputing · State Key Laboratory of Industrial Control Technology · University of Macau · +1
  27. 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
  28. 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
  29. 2019
    Event-Based Incremental Broad Learning System for Object ClassificationShan Gao, Guangqian Guo, C. L. Philip ChenIEEE Conference Proceedings · Northwestern Polytechnical University
  30. 2019
    Multiview High Dynamic Range Image Synthesis Using Fuzzy Broad Learning SystemHongbin Guo, Bin Sheng, Ping Li, C. L. Philip ChenIEEE Trans. Cybernetics · Shanghai Jiao Tong University · Hong Kong Polytechnic University · +3
  31. 2018
    Broad Learning System for Class Incremental LearningRuizhi Han, C. L. Philip Chen, Shuang FengInternational Conference on Security, Pattern Analysis, a… · University of Macau
  32. 2019
    Universal Approximation Capability of Broad Learning System and Its Structural VariationsC. L. Philip Chen, Zhulin Liu, Shuang FengTNNLS · University of Macau
  33. 2020
    Recurrent Broad Learning Systems for Time Series PredictionMeiling Xu, Min Han, C. L. Philip Chen, Tie QiuIEEE Trans. Cybernetics · Dalian University of Technology · Dalian University · +2
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.