Combating Noisy Labels via Contrastive Learning with Challenging Pairs

Yipeng Chen; Xiaojuan Ban; Ke Xu

doi:10.1007/978-3-031-18910-4_49

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Combating Noisy Labels via Contrastive Learning with Challenging Pairs

Yipeng Chen Xiaojuan Ban Ke Xu

Year: 2022 Lecture notes in computer science Pages: 614-625 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-18910-4_49

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Keywords:

Computer science Artificial intelligence Noise (video) Imperfect Machine learning Deep neural networks Feature (linguistics) Extractor Quality (philosophy) Artificial neural network Adversarial system Pattern recognition (psychology) Image (mathematics)

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Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Water Systems and Optimization

Physical Sciences → Engineering → Civil and Structural Engineering

Combating Noisy Labels via Contrastive Learning with Challenging Pairs

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