RMM: Reinforced memory management for class-incremental learning
Class-Incremental Learning (CIL) [38] trains classifiers under a strict memory budget: in each incremental phase, learning is done for new data, most of which is abandoned to free space for the next phase. The preserved data are exemplars used for replaying. However, existing methods use a static an...
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/6790 https://ink.library.smu.edu.sg/context/sis_research/article/7793/viewcontent/NeurIPS2021_Submission_Class_Incremental_Learning__2___1_.pdf |
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| Institution: | Singapore Management University |
| Language: | English |