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Combining layered label correction and mixup supervised contrastive learning to learn noisy labels

Research article (Information Sciences, 2023) · cited 11× · AI/ML
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Combining layered label correction and mixup supervised contrastive learning to learn noisy labels

Summary

Combining layered label correction and mixup supervised contrastive learning to learn noisy labels is a scholarly article[1].

Key Facts

  • Combining layered label correction and mixup supervised contrastive learning to learn noisy labels's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Combining layered label correction and mixup supervised contrastive learning to learn noisy labels. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-layered-label-correction-and-mixup-supervised-contrastive-learning-to-learn-noisy-labels
MLA “Combining layered label correction and mixup supervised contrastive learning to learn noisy labels.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-layered-label-correction-and-mixup-supervised-contrastive-learning-to-learn-noisy-labels.
BibTeX @misc{4ortxyz_combining-layered-label-correction-and-mixup-supervised-contrastive-learning-to-learn-noisy-labels_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining layered label correction and mixup supervised contrastive learning to learn noisy labels}}, year = {2026}, url = {https://4ort.xyz/entity/combining-layered-label-correction-and-mixup-supervised-contrastive-learning-to-learn-noisy-labels}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combining layered label correction and mixup supervised contrastive learning to learn noisy labels — https://4ort.xyz/entity/combining-layered-label-correction-and-mixup-supervised-contrastive-learning-to-learn-noisy-labels (retrieved 2026-05-24)

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