Concept information
Término preferido
contrastive learning
Definición
- A self-supervised paradigm where a model is trained to learn useful representations of input data by contrasting similar and dissimilar samples. (Aswath et al., Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey, in Medical Image Analysis, 2023)
Concepto genérico
Ejemplo
- Contrastive learning has been extensively studied in sentence embedding learning which assumes that the embeddings of different views of the same sentence are closer. (Wu, Gao, Lin, Han, Wang & Hu, 2022)
En otras lenguas
-
francés
URI
http://data.loterre.fr/ark:/67375/8LP-ZPN7F7DW-V
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