Related work

The foundational work on continual learning, 1980 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

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2026 University of Electronic Science and Technology of China Clear all

2026
Continual learning via semantic memory systemMingsen Luo, Qihe Liu, Fei Ye … Shijie ZhouPattern Recognition · University of Electronic Science and Technology of China · University of York
2026
Continual learning via dynamic expandable task-specific and general representationsQihe Liu, yongcheng zhong, Fei Ye … ShiJie ZhouKnowledge-Based Systems · University of Electronic Science and Technology of China · University of York
2026
A lightweight and reliable continual learning framework for lip-readingZhixue Chen, Changyan Zheng, Yakun Zhang … Erwei YinDisplays · University of Electronic Science and Technology of China · Academy of Military Medical Sciences · +2
2026
Cooperative meta-learning for incremental few-shot object detection in open urban environmentsYuan Li, C F Zhang, Song Yang … Lin WuPattern Recognition · Beijing Institute of Technology · Beijing Electronic Science and Technology Institute · +2
2026
Spatial-Temporal Side Adaptation with Difference-based Frame Selector for video class-incremental learningYu Dai, Heqian Qiu, Lanxiao Wang … Hui LiDisplays · University of Electronic Science and Technology of China
2026
Enhancing decision boundaries in continual learning through a decoupled Gaussian frameworkZHIKUN FENG, Chi Chen, Zhou Yang … Yakun JuInformation Processing & Management · University of Electronic Science and Technology of China · Chengdu University of Information Technology · +3
2026
Federated Class Incremental Learning Method With High Accuracy and Extremely Low Communication Cost Based on Broad Learning SystemJie Du, Wenbing Chen, Peng Liu … C L Philip ChenIEEE Transactions · Shenzhen University · University of Electronic Science and Technology of China · +2
2026
Learning Adaptive and Expandable Mixture Model for Continual LearningFei Ye, yongcheng zhong, Qihe Liu … Shijie ZhouAAAI · University of Electronic Science and Technology of China · University of York
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2026
Parameter Merging with Gradient-Guided Supermasks in Online Continual LearningBenliu Qiu, Heqian Qiu, Lanxiao Wang … Hongliang LiAAAI · University of Electronic Science and Technology of China
2026
Learning dynamic representations via an optimally-weighted maximum mean discrepancy optimization framework for continual learningKaihui Huang, Runqing Wu, Jinhui Shen … Fei YeKnowledge-Based Systems · University of Electronic Science and Technology of China · Huazhong University of Science and Technology · +2
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2026
DesCLIP: Robust Continual Learning via General Attribute Descriptions for VLM-Based Visual RecognitionChiyuan He, Zihuan Qiu, Fanman Meng … Hui LiIEEE Trans. Multimedia · University of Electronic Science and Technology of China
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2026
Dual Domain-Attribute Learning Framework With Asynchronous Adapters for Continual Test-Time AdaptationYuntong Tian, Kang Li, Tianyang He … Wei FengTIP · Tianjin University · University of Electronic Science and Technology of China · +1
2026
Continual Learning Via Gradient-Regularized Based Dynamic Expansion ModelFei Ye, yongcheng zhong, Qihe Liu … ShiJie ZhouIEEE Trans. Multimedia · University of Electronic Science and Technology of China · University of York
2026
Pattern in Motion: Retrieval-Augmented Learning for Dynamic Spatio-Temporal Graphs.Haoyu Zhang, Xinke Jiang, Wentao Zhang … Heqing HuangTPAMI · City University of Hong Kong · University of Electronic Science and Technology of China · +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. By default it shows the 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. The rest are one click away under “All papers”. 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.