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.

13 papers of 11,817Sort Recent · Most cited

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2022
Continual Learning through Retrieval and ImaginationZhen Wang, Liu Liu, Yiqun Duan, Dacheng TaoAAAI · The University of Sydney · University of Technology Sydney
2022
Federated Class-Incremental LearningJiahua Dong, Lixu Wang, Zhen Fang … Qi ZhuCVPR · Shenyang Institute of Automation · Chinese Academy of Sciences · +3
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2022
Continual Learning with Lifelong Vision TransformerZhen Wang, Liu Liu, Yiqun Duan … Dacheng TaoCVPR · The University of Sydney · University of Technology Sydney · +1
2022
Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy LearningHang Yu, Jie Lü, Anjin Liu … Guangquan ZhangIEEE T-ITS · University of Technology Sydney
2022
Broad Learning Based Dynamic Fuzzy Inference System With Adaptive Structure and Interpretable Fuzzy RulesKaiyuan Bai, Xiaomin Zhu, Shiping Wen … Wenyu ZhangIEEE Transactions · Beijing Jiaotong University · University of Technology Sydney · +1
2021
Fatigue Detection of Pilots’ Brain Through Brains Cognitive Map and Multilayer Latent Incremental Learning ModelEdmond Q. Wu, Chin‐Teng Lin, Limin Zhu … Gui-Rong ZhouIEEE Trans. Cybernetics · Shanghai Jiao Tong University · University of Technology Sydney · +2
2020
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic ForgettingMiao Zhang, Huiqi Li, Shirui Pan … Steven W. SuTPAMI · Beijing Institute of Technology · Monash University · +2
2020
An integrated classification model for incremental learningJi Hu, Chenggang Yan, Xin Liu … Yi YangMultimedia Tools and Applications · Hangzhou Dianzi University · University of Technology Sydney
2020
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity MaximizationMiao Zhang, Huiqi Li, Shirui Pan … Steven W. SuCVPR · University of Technology Sydney · Beijing Institute of Technology · +2
2020
Novelty Detection and Online Learning for Chunk Data StreamsYi Wang, Yi Ding, Xiangjian He … Jiebo LuoTPAMI · Dalian University of Technology · University of Technology Sydney · +2
2019
A comparative study of general fuzzy min-max neural networks for pattern classification problemsThanh Tung Khuat, Bogdan GabryśNeurocomputing · University of Technology Sydney
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2019
Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural NetworkHang Yu, Jie Lü, Guangquan ZhangTNNLS · University of Technology Sydney
2017
An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural NetworksMahardhika Pratama, Jie Lü, Edwin Lughofer … Meng Joo ErIEEE Transactions · La Trobe University · University of Technology Sydney · +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.