A decoupled learning framework for contrastive learning
Contrastive Learning (CL) has attracted much attention in recent years because various self-supervised models based on CL achieve comparable performance to supervised models. Nevertheless, most CL frameworks require large batch size during the training progress for taking more negative samples in...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/163711 |