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
A Novel Machine Learning Method for Delayed LabelsHaoran Gao, Zhijun DingIEEE International Conference on Networking, Sensing and… · Tongji University
2022
CLSD: Continual Learning for Lane Line Segmentation Across DomainsYan Wu, Yujun Liao, Wei Jiang … Yujian MoIEEE 7th International Conference on Intelligent Transpor… · Tongji University
2022
A robust and anti-forgettiable model for class-incremental learningJianting Chen, Yang XiangApplied Intelligence · Tongji University
2022
Using Domain Adaptation for Incremental SVM Classification of Drift DataJunya Tang, Kuo‐Yi Lin, Li LiMathematics · Tongji University
2021
Artificial Neural Networks for classification of single cell gene expressionJiahui Zhong, Minjie Lyu, Huan Jin … Vladimir BrusićbioRxiv · University of Nottingham Ningbo China · Tongji University · +5
2022
Meta-Learning-Based Incremental Few-Shot Object DetectionMeng Cheng, Hanli Wang, Long YuIEEE TCSVT · Tongji University
2021
Reduce the Difficulty of Incremental Learning With Self-Supervised LearningLinting Guan, Yan WuIEEE Access · Zhejiang Ocean University · Tongji University
2020
Classification of PBMC cell types using scRNAseq, ANN, and incremental learningJiahui Zhong, Razin A. Shaikh, Haoguo WU … Vladimir BrusićIEEE International Conference on Bioinformatics and Biome… · University of Nottingham Ningbo China · University of Oxford · +5
2020
Learn#: A Novel incremental learning method for text classificationGuangxu Shan, Shiyao Xu, Yang Li … Yang XiangExpert Systems with Applications · Tongji University
2020
Granular structure-based incremental updating for multi-label classificationYuanjian Zhang, Duoqian Miao, Witold Pedrycz … Ying YuKnowledge-Based Systems · Tongji University · University of Alberta · +4
2019
Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and PredictionShangce Gao, MengChu Zhou, Yirui Wang … Jiahai WangTNNLS · University of Toyama · New Jersey Institute of Technology · +2
2018
Learn to Detect Objects IncrementallyLinting Guan, Yan Wu, Junqiao Zhao, Chen YeIEEE Intelligent Vehicles Symposium (IV) · Tongji 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.