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Label-Noise Learning with Intrinsically Long-Tailed Data

Research article (2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023) · cited 24× · AI/ML
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Label-Noise Learning with Intrinsically Long-Tailed Data

Summary

Label-Noise Learning with Intrinsically Long-Tailed Data is a scholarly article[1].

Key Facts

  • Label-Noise Learning with Intrinsically Long-Tailed Data's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Label-Noise Learning with Intrinsically Long-Tailed Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/label-noise-learning-with-intrinsically-long-tailed-data
MLA “Label-Noise Learning with Intrinsically Long-Tailed Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/label-noise-learning-with-intrinsically-long-tailed-data.
BibTeX @misc{4ortxyz_label-noise-learning-with-intrinsically-long-tailed-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Label-Noise Learning with Intrinsically Long-Tailed Data}}, year = {2026}, url = {https://4ort.xyz/entity/label-noise-learning-with-intrinsically-long-tailed-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Label-Noise Learning with Intrinsically Long-Tailed Data — https://4ort.xyz/entity/label-noise-learning-with-intrinsically-long-tailed-data (retrieved 2026-05-24)

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