Online hyperparameter optimization for class-incremental learning
Class-incremental learning (CIL) aims to train a classification model while the number of classes increases phase-by-phase. An inherent challenge of CIL is the stability-plasticity tradeoff, i.e., CIL models should keep stable to retain old knowledge and keep plastic to absorb new knowledge. However...
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Main Authors: | LIU, Yaoyao, LI, Yingying, SCHIELE, Bernt, SUN, Qianru |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
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Online Access: | https://ink.library.smu.edu.sg/sis_research/7559 https://ink.library.smu.edu.sg/context/sis_research/article/8562/viewcontent/AAAI2023_Online_Hyperparameter_Optimization_CIL.pdf |
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Institution: | Singapore Management University |
Language: | English |
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