Optimizing Contrastive Learning with Semi-Online Triplet Mining

Contrastive learning is a machine learning technique in which models learn by contrasting similar and dissimilar data points. Its goal is to learn a representation of data in such a way that similar instances are close together in the representation space, while dissimilar instances are far apart. O...

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Bibliographic Details
Main Authors: Przemysław Buczkowski, Marek Kozłowski, Piotr Brzeziński
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/14/7865
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