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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2023 IEEE Access Clear all

2023
Memory-Efficient Continual Learning Object Segmentation for Long VideosAmir Nazemi, M. Shafiee, Zahra Gharaee, P. FieguthIEEE Access
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2023
Privacy-Preserving Continual Federated Clustering via Adaptive Resonance TheoryNaoki Masuyama, Y. Nojima, Yuichiro Toda … N. KubotaIEEE Access
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2023
Adversary Aware Continual LearningMuhammad Umer, R. PolikarIEEE Access
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2023
Recognition of Human Chef’s Intentions for Incremental Learning of Cookbook by Robotic Salad ChefGrzegorz Sochacki, Arsen Abdulali, Narges Khadem Hosseini, F. IidaIEEE Access
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Streaming Data Classification Based on Hierarchical Concept Drift and Online EnsembleNing Liu, Jian-Hua ZhaoIEEE Access
2023
Robust Object Detection Against Multi-Type Corruption Without Catastrophic Forgetting During Adversarial Training Under Harsh Autonomous-Driving EnvironmentsYoungjung Kim, Jitae ShinIEEE Access
2023
Adaptive Threshold Hierarchical Incremental Learning MethodXing-Yu Li, Sheng-Bo Dong, Qi-Ya Su … Xinzhi LiIEEE Access
2023
NS-IL: Neuro-Symbolic Visual Question Answering Using Incrementally Learnt, Independent Probabilistic Models for Small Sample SizesPenny Johnston, Keiller Nogueira, Kevin SwinglerIEEE Access
2023
Prototypes Sampling Mechanism for Class Incremental LearningZhe Tao, Shucheng Huang, Gang WangIEEE Access
2023
Self-Organizing Multiple Readouts for Reservoir ComputingYuichiro Tanaka, H. TamukohIEEE Access
2023
A Continual Learning Algorithm Based on Orthogonal Gradient Descent Beyond Neural Tangent Kernel RegimeDamien Lee, Kensuke Nakamura, Jae-Ho Tak, Byung-Woo HongIEEE Access
2023
Online Decentralized Multi-Agents Meta-Learning With Byzantine ResiliencyO. Odeyomi, Bassey Ude, Kaushik RoyIEEE Access
2023
Improved Open World Object Detection Using Class-Wise Feature Space LearningMuhammad Ali Iqbal, Y. Yoon, M. U. S. Khan, S. KimIEEE Access
2023
A More Robust Model to Answer Noisy Questions in KBQAZiming Wang, Xirong Xu, Xinzi Li … Xiaopeng WeiIEEE Access
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Class-Incremental Learning Based on Big Dataset Pre-Trained ModelsBin Wen, Qiuyu ZhuIEEE Access
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Class-Prompting Transformer for Incremental Semantic SegmentationZichen Song, Zhaofeng Shi, Chao Shang … Linfeng XuIEEE Access
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CLiCK: Continual Learning Exploiting Intermediate Network Models With A Slack ClassHyejin Kim, Seunghyun Yoon, Hyuk-Kyu LimIEEE Access
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Meta-Learning Based Tasks Similarity Representation for Cross Domain Lifelong LearningMingge Shen, Dehu Chen, Teng RenIEEE Access
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Class-Incremental Learning Based on Anomaly DetectionLijuan Zhang, Xiao Yang, Kai Zhang … Dongming LiIEEE Access
2023
Incrementally Learned Angular Representations for Few-Shot Class-Incremental LearningIn-Ug Yoon, Jong-Hwan KimIEEE Access
2023
Trainable Weights for Multitask LearningChaeeun Ryu, Changwoo Lee, Hyuk Jin Choi … Young-Gon KimIEEE Access
2023
ConnectomeNet: A Unified Deep Neural Network Modeling Framework for Multi-Task LearningHeechul Lim, Kang-Wook Chon, Min-Soo KimIEEE Access
2023
Prediction Model for the Stored-Grain Situation Risk Point Based on Broad Learning NetworkFeiyu Lian, Qin Yao, Maixia FuIEEE Access

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.