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.

6 papers of 6,984Sort Recent · Most cited
  1. 2025
    Continual Learning for Multilingual Neural Machine Translation via Meta-Contrastive Memory ReplayLin Zhou, Degen Huang, Junpeng Liu … Kaiyu HuangSpringer LNCS · Dalian University of Technology · Université de Montréal · +1
  2. 2025
    CoRe-KD: Contrastive Multi-Teacher and Retention-Aware Knowledge Distillation for Continual Multilingual Neural Machine TranslationLin Zhou, Degen HuangData Intelligence · Dalian University of Technology · Dalian University · +1
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  3. 2025
    MoE-Adapters++: Toward More Efficient Continual Learning of Vision-Language Models Via Dynamic Mixture-of-Experts AdaptersJiazuo Yu, Zichen Huang, Yunzhi Zhuge … You HeTPAMI · Dalian University of Technology · University of Electronic Science and Technology of China · +2
  4. 2025
    ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental LearningWenyao Ni, Jiangrong Shen, Qi Xu, Huajin TangAAAI · Zhejiang University · Xi'an Jiaotong University · +1
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  5. 2025
    Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion EfficiencyYuhong Chen, Ailin Song, Huifeng Yin … Mingkun XuAAAI · Fuzhou University · Guangdong Polytechnic of Science and Technology · +2
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  6. 2025
    Online Contrastive Continual Learning with Hard Negative SamplesGuanglu Wang, Xinyue Liu, Wentao Yang … Xianchao ZhangICASSP · Dalian University of Technology
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.