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.

12 papers of 6,984Sort Recent · Most cited
  1. 2025
    Few-Shot Incremental Learning With Context-Aware Spatial Enhancement for Image RecognitionHeng Wu, Ze Yang, Zijun Zheng … Wansong WangIEEE Access · Hangzhou Vocational and Technical College · China Mobile (China) · +4
  2. 2025
    Measuring Catastrophic Forgetting in Cross-Lingual Classification: Transfer Paradigms and Tuning StrategiesBoshko Koloski, Blaž Škrlj, Marko Robnik‐Šikonja, Senja PollakIEEE Access · Jožef Stefan Institute · University of Ljubljana
  3. 2025
    Causal Intervention-Based Multimodal Class-Incremental Learning Network for 3D Model Classification and RetrievalQiang Li, Qiu-Yang Ma, Ning Zhang, Weizhi NieIEEE Access · Tianjin University · Renmin University of China
  4. 2025
    Dual Passive-Aggressive Stacking k-Nearest Neighbors for Class-Incremental Multi-Label Stream ClassificationHaiming Tan, Chu Kiong Loo, Woo Chaw SengIEEE Access · University of Malaya
  5. 2025
    Neuro-Mimetic Developmental Architecture for Continual Learning Through Self-Organizing Multimodal Perception CoordinationFarhan Dawood, Naoki Masuyama, Chu Kiong LooIEEE Access · Iqra University · Osaka Metropolitan University · +1
  6. 2025
    Mitigating Class Confusion in Class-Incremental Semantic SegmentationNayoung Ko, Gyeong-Hyeon Kim, Eunwoo KimIEEE Access · Chung-Ang University
  7. 2025
    Opportunistic Dynamic Architecture for Class-Incremental LearningFahrurrozi Rahman, Andrea Rosales Sanabria, Juan YeIEEE Access · University of St Andrews
  8. 2025
    S2IL: Structurally Stable Incremental LearningS. Balasubramanian, P Yedu Krishna, Talasu Sai Sriram … Ravi MukkamalaIEEE Access · Sri Sathya Sai Institute of Higher Learning · Old Dominion University
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  9. 2025
    SLFD: Spatial Location-Aware Feature Distillation for Incremental Object DetectionYanyan Shi, Yang Chen, Xinye Yu … Xiaokai XiaIEEE Access · China Electronics Technology Group Corporation · Peking University · +1
  10. 2025
    Variance-Covariance Regularization Improves Continual LearningPiotr Hondra, Daniel Marczak, Kamil Rafał DejaIEEE Access · Warsaw University of Technology
  11. 2025
  12. 2025
    Joint Class and Domain Continual Learning for Decentralized Federated ProcessesChiara Lanza, T. Tuytelaars, M. Miozzo … P. DiniIEEE Access
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.