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Vocabulary of natural language processing

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Concept information

Preferred term

contrastive learning  

Definition

  • 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)

Broader concept

Example

  • 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)

In other languages

URI

http://data.loterre.fr/ark:/67375/8LP-ZPN7F7DW-V

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