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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Bibliographic Details
Main Authors: LIU, Yaoyao, LI, Yingying, SCHIELE, Bernt, SUN, Qianru
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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