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.

62 papers of 11,817 · showing 51–62Sort Recent · Most cited

Knowledge-Based Systems Clear all

2021
Coordinating Experience Replay: A Harmonious Experience Retention approach for Continual LearningZhong Ji, Jiayi Liu, Qiang Wang, Zhongfei ZhangKnowledge-Based Systems · Tianjin University · State Key Laboratory on Integrated Optoelectronics · +1
2021
FILDNE: A Framework for Incremental Learning of Dynamic Networks EmbeddingsPiotr Bielak, Kamil Tagowski, Maciej Falkiewicz … Nitesh V. ChawlaKnowledge-Based Systems · Wrocław University of Science and Technology · AGH University of Krakow · +1
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2021
Continual learning via inter-task synaptic mappingFubing Mao, Weiwei Weng, Mahardhika Pratama, Edward K.Y. YappKnowledge-Based Systems · Nanyang Technological University · Huazhong University of Science and Technology · +1
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2021
Improving the Efficiency of Image and Video Forgery Detection Using Hybrid Convolutional Neural NetworksSonal P. Patil, Krupa JariwalaKnowledge-Based Systems · Sardar Vallabhbhai National Institute of Technology Surat
2021
Continual learning classification method with constant-sized memory cells based on the artificial immune systemDong Li, Shulin Liu, Furong Gao, Xin SunKnowledge-Based Systems · Hong Kong University of Science and Technology · Changzhou University · +1
2020
Incremental learning based multi-domain adaptation for object detectionXing Wei, Shaofan Liu, Yaoci Xiang … Yang LuKnowledge-Based Systems · Hefei University of Technology
2020
Incremental learning model inspired in Rehearsal for deep convolutional networksDavid A. Muñoz, Camilo Narváez, Carlos Cobos … Francisco HerreraKnowledge-Based Systems · University of Cauca · Universidad de Granada · +1
2020
Incremental learning imbalanced data streams with concept drift: The dynamic updated ensemble algorithmLi Zeng, Wenchao Huang, Yan Xiong … Tuanfei ZhuKnowledge-Based Systems · University of Science and Technology of China · Zhejiang Gongshang University · +1
2020
Discriminative Streaming Network EmbeddingYiyan Qi, Jiefeng Cheng, Xiaojun Chen … Pinghui WangKnowledge-Based Systems · Xi'an Jiaotong University · Tencent (China) · +5
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
Short-term traffic volume prediction by ensemble learning in concept drifting environmentsJianhua Xiao, Zhu Xiao, Dong Wang … Fanzi ZengKnowledge-Based Systems · Xidian University · Hunan University · +1
2018
Ensemble Classification for Skewed Data Streams Based on Neural NetworkYong Zhang, Jiaxin Yu, Wenzhe Liu, Kaoru OtaKnowledge-Based Systems · Liaoning Normal University · Nanjing University · +1

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.