DAT: Training Deep Networks Robust to Label-Noise by Matching the Feature Distributions

Research article (2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021) · cited 18× · AI/ML
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DAT: Training Deep Networks Robust to Label-Noise by Matching the Feature Distributions

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DAT: Training Deep Networks Robust to Label-Noise by Matching the Feature Distributions is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). DAT: Training Deep Networks Robust to Label-Noise by Matching the Feature Distributions. Retrieved May 24, 2026, from https://4ort.xyz/entity/dat-training-deep-networks-robust-to-label-noise-by-matching-the-feature-distributions
MLA “DAT: Training Deep Networks Robust to Label-Noise by Matching the Feature Distributions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dat-training-deep-networks-robust-to-label-noise-by-matching-the-feature-distributions.
BibTeX @misc{4ortxyz_dat-training-deep-networks-robust-to-label-noise-by-matching-the-feature-distributions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DAT: Training Deep Networks Robust to Label-Noise by Matching the Feature Distributions}}, year = {2026}, url = {https://4ort.xyz/entity/dat-training-deep-networks-robust-to-label-noise-by-matching-the-feature-distributions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DAT: Training Deep Networks Robust to Label-Noise by Matching the Feature Distributions — https://4ort.xyz/entity/dat-training-deep-networks-robust-to-label-noise-by-matching-the-feature-distributions (retrieved 2026-05-24)

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