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L2B: Learning to Bootstrap Robust Models for Combating Label Noise

Research article (2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024) · cited 14× · AI/ML
academia openalex:W4402703078
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L2B: Learning to Bootstrap Robust Models for Combating Label Noise

Summary

L2B: Learning to Bootstrap Robust Models for Combating Label Noise is a scholarly article[1].

Key Facts

  • L2B: Learning to Bootstrap Robust Models for Combating Label Noise's instance of is recorded as scholarly article[2].

Related Entities

Yuyin Zhou

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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). L2B: Learning to Bootstrap Robust Models for Combating Label Noise. Retrieved May 24, 2026, from https://4ort.xyz/entity/l2b-learning-to-bootstrap-robust-models-for-combating-label-noise
MLA “L2B: Learning to Bootstrap Robust Models for Combating Label Noise.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/l2b-learning-to-bootstrap-robust-models-for-combating-label-noise.
BibTeX @misc{4ortxyz_l2b-learning-to-bootstrap-robust-models-for-combating-label-noise_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{L2B: Learning to Bootstrap Robust Models for Combating Label Noise}}, year = {2026}, url = {https://4ort.xyz/entity/l2b-learning-to-bootstrap-robust-models-for-combating-label-noise}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): L2B: Learning to Bootstrap Robust Models for Combating Label Noise — https://4ort.xyz/entity/l2b-learning-to-bootstrap-robust-models-for-combating-label-noise (retrieved 2026-05-24)

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