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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497504/ https://www.ncbi.nlm.nih.gov/pubmed/36141189 http://dx.doi.org/10.3390/e24091303 |