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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2022 Applied Intelligence Clear all

2022
Continual prune-and-select: class-incremental learning with specialized subnetworksAleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. BessaApplied Intelligence · Delft University of Technology · Brown University
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2022
A robust and anti-forgettiable model for class-incremental learningJianting Chen, Yang XiangApplied Intelligence · Tongji University
2022
RT-Net: replay-and-transfer network for class incremental object detectionBo Cui, Guyue Hu, Shan YuApplied Intelligence · Chinese Academy of Sciences · Beijing Academy of Artificial Intelligence · +4
2022
Continual learning via region-aware memoryKai Zhao, Zhenyong Fu, Jian YangApplied Intelligence · Nanjing University of Science and Technology
2022
Learning a dual-branch classifier for class incremental learningLei Guo, Gang Xie, Youyang Qu … Lei CuiApplied Intelligence · Taiyuan University of Technology · Taiyuan University of Science and Technology · +1
2022
Self-updating continual learning classification method based on artificial immune systemXin Sun, Haotian Wang, Shulin Liu … Haihua XiaoApplied Intelligence · Shanghai University · Changzhou University

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.