An Asymmetric Contrastive Loss for Handling Imbalanced Datasets
Contrastive learning is a representation learning method performed by contrasting a sample to other similar samples so that they are brought closely together, forming clusters in the feature space. The learning process is typically conducted using a two-stage training architecture, and it utilizes t...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2022-09-01
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| Серии: | Entropy |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/1099-4300/24/9/1303 |
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