Related work

The foundational work on continual learning, 1959 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

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2022
Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory ApproachYunlong Lin, Zirui Li, Cheng Gong … Jianwei GongIEEE T-ITS · Beijing Institute of Technology · Fakultät Verkehrswissenschaften "Friedrich List" · +2
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2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at EdgeYaxin Luopan, Rui Han, Qinglong Zhang … Lydia Y. ChenICDE · Beijing Institute of Technology · Beijing Research Institute of Mechanical and Electrical Technology · +1
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2022
Methods to Enhance BERT in Aspect-Based Sentiment ClassificationYufeng Zhao, Evelyn Soerjodjojo, Haiying CheEuro-Asia Conference on Frontiers of Computer Science and… · Beijing Institute of Technology
2022
Self-supervised learning with consistency loss for improving GANsJie Gao, Dandan SongInternational Conference on Mechanisms and Robotics (ICMA… · Beijing Institute of Technology
2022
Few-Shot Class-Incremental Learning via Compact and Separable Features for Fine-Grained Vehicle RecognitionDe-Wang Li, Hua HuangIEEE T-ITS · Beijing Institute of Technology · Beijing Normal University
2022
A multiobjective prediction model with incremental learning ability by developing a multi-source filter neural network for the electrolytic aluminium processLizhong Yao, Wei Ding, Tiantian He … Ling NieApplied Intelligence · Chongqing Normal University · Chongqing University of Science and Technology · +3
2020
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic ForgettingMiao Zhang, Huiqi Li, Shirui Pan … Steven W. SuTPAMI · Beijing Institute of Technology · Monash University · +2
2020
Target Tracking Based on SE-CNN and SiameseNetBayaer Saiyin, Wenjie ChenChinese Control Conference (CCC) · Beijing Institute of Technology
2020
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity MaximizationMiao Zhang, Huiqi Li, Shirui Pan … Steven W. SuCVPR · University of Technology Sydney · Beijing Institute of Technology · +2
2020
Incremental transfer learning for video annotation via grouped heterogeneous sourcesHan Wang, Hao Song, Xinxiao Wu, Yunde JiaIET Computer Vision · Beijing Forestry University · Beijing Institute of Technology
2019
Incremental Learning Using Conditional Adversarial NetworksYe Xiang, Ying Fu, Pan Ji, Hua HuangICCV · Beijing Institute of Technology · NEC (United States)
2018
Adaptive Matrix Sketching and Clustering for Semisupervised Incremental LearningZilin Zhang, Yan Li, Zhengwen Zhang … Meiguo GaoIEEE Signal Processing Letters · Beijing Institute of Technology
2017
A Survey on Incremental LearningJUN-WEI ZHONGInternational Conference on Computer, Automation and Powe… · Beijing Institute of Technology
2015
Temporal dynamic appearance modeling for online multi-person trackingMin Yang, Yunde JiaComputer Vision and Image Understanding · Beijing Institute of Technology
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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.