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Nowadays, real-world applications often face streaming data, which requires the learning system to absorb new knowledge as data evolves.
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J. Zheng, S. Qiu, and Q. Ma · 2023
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Deep class-incremental learning: A survey
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A comprehensive study of knowledge editing for large language models
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Expandable subspace ensemble for pre-trained model-based class-incremental learning
D.-W. Zhou, H.-L. Sun, H.-J. Ye, and D.-C. Zhan · 2024
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