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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Haitao Wen Clear all

2026
Task-adaptive continual learning of vision language models via prototype routing and promptLei Pan, Zhipeng Lu, Yuan Zheng … Chang XuNeurocomputing · Civil Aviation Administration of China · Chinese Academy of Civil Aviation Science and Technology · +3
2025
Geodesic-Aligned Gradient Projection for Continual Task LearningBenliu Qiu, Heqian Qiu, Haitao Wen … Hongliang LiTIP · University of Electronic Science and Technology of China
2025
Class Incremental Learning With Less Forgetting Direction and Equilibrium PointHaitao Wen, Heqian Qiu, Lanxiao Wang … Hongliang LiIEEE TCSVT · University of Electronic Science and Technology of China
2024
Must Unsupervised Continual Learning Relies on Previous Information?Haoyang Cheng, Haitao Wen, Heqian Qiu … Hongliang LiCVPR · University of Electronic Science and Technology of China
2024
Class Incremental Learning with Multi-Teacher DistillationHaitao Wen, Lili Pan, Yu Dai … Hongliang LiCVPR · University of Electronic Science and Technology of China
2023
Contrastive Continuity on Augmentation Stability Rehearsal for Continual Self-Supervised LearningHaoyang Cheng, Haitao Wen, Xiaoliang Zhang … Hongliang LiICCV · University of Electronic Science and Technology of China
2023
CafeBoost: Causal Feature Boost to Eliminate Task-Induced Bias for Class Incremental LearningBenliu Qiu, Hongliang Li, Haitao Wen … Lili PanCVPR · University of Electronic Science and Technology of China
2023
Optimizing Mode Connectivity for Class Incremental LearningHaitao Wen, Haoyang Cheng, Heqian Qiu … Hongliang LiICML
2023
Appendix on “CafeBoost: Causal Feature Boost to Eliminate Task-Induced Bias for Class Incremental Learning”Benliu Qiu, Hongliang Li, Haitao Wen … Li-Li PanPreprint

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.