Related work

The foundational work on continual learning, 1989 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

6 papers of 5,456Sort Recent · Most cited
  1. 2025
    A Non-Pretrained Few-Shot Online Class Incremental Learning Design Based on Stochastic Adaptive Fourier DecompositionJunnan Wu, Liming Zhang, Yunzhao Wu, Chunyu TanInternational Conference on Signal and Image Processing (… · University of Macau · City University of Macau · +2
  2. 2025
    Tactile-Visual Class-Continual Learning via Temporal Attention InteractionLina Wei, Yan Ma, Zhongsheng Lin … Fangfang WangIJCNN · Hangzhou City University · City University of Macau · +1
  3. 2024
    TactCLNet: Tactile Continual Learning Network Based on Generative Replay for Object Hardness RecognitionYiwen Liu, Zhengkun Yi, Senlin Fang … Xinyu WuIEEE Transactions · Chinese Academy of Sciences · Shenzhen Institutes of Advanced Technology · +3
  4. 2024
    Probabilistic Spiking Neural Network for Robotic Tactile Continual LearningSenlin Fang, Yiwen Liu, Chengliang Liu … Xinyu WuICRA · City University of Macau
  5. 2023
    Evaluation of Continual Learning Methods for Object Hardness RecognitionYiwen Liu, Senlin Fang, Chengliang Liu … Xinyu WuIEEE International Conference on Real-time Computing and… · Chinese Academy of Sciences · Shenzhen Institutes of Advanced Technology · +2
  6. 2020
    Prototype-Based Discriminative Feature Representation for Class-incremental Cross-modal RetrievalShaoquan Zhu, Yong Feng, Mingliang Zhou … Ran WeiInternational Journal of Pattern Recognition and Artifici… · Ministry of Education of the People's Republic of China · Chongqing University · +3
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 written 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.