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.

17 papers of 11,817Sort Recent · Most cited
  1. 2022
    Class Incremental Learning based on Local Structure Constraints in Feature SpaceYinan Li, Ronghua Luo, Zhen-Ming HuangICPR · South China University of Technology
  2. 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
  3. 2022
    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
  4. 2021
    Fixed- Time Adaptive Neural Tracking Control for Robot Manipulator with Output Error ConstraintsHaiqi Huang, Chenguang Yang, Shi‐Lu DaiInternational Conference on Security, Pattern Analysis, a… · South China University of Technology
  5. 2021
    Frequency Principle in Broad Learning SystemGuangyong Chen, Min Gan, C. L. Philip Chen … Long ChenTNNLS · Fuzhou University · South China University of Technology · +1
  6. 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
  7. 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
  8. 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
  9. 2021
    A Cognitive Joint Angle Compensation System Based on Self-Feedback Fuzzy Neural Network With Incremental LearningGuanglong Du, Yinhao Liang, BoYu Gao … Di LiIEEE TII · South China University of Technology · Jinan University · +1
  10. 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
  11. 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
  12. 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
  13. 2020
    A New Cloud Robots Training Method Using Cooperative LearningGuanglong Du, Zhiyao Wang, Zhelin LiIEEE Access · South China University of Technology
  14. 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
  15. 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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  16. 2019
    Hierarchical Lifelong Learning by Sharing Representations and Integrating HypothesisTong Zhang, Guoxi Su, Chunmei Qing … Xiaofen XingIEEE Transactions · South China University of Technology
  17. 2007
    A Semisupervised Support Vector Machines Algorithm for BCI SystemsJianzhao Qin, Yuanqing Li, Wei SunComputational Intelligence and Neuroscience · Institute of Automation · Chinese University of Hong Kong, Shenzhen · +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.