CS Ph.D @ UC Santa Cruz,
Research Scientist SR Manager @ Accenture
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UC Santa Cruz
- Sunnyvale, CA
- https://sites.google.com/ucsc.edu/jiahengwei
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Advances-in-Label-Noise-Learning
Advances-in-Label-Noise-Learning PublicA curated (most recent) list of resources for Learning with Noisy Labels
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UCSC-REAL/cifar-10-100n
UCSC-REAL/cifar-10-100n PublicHuman annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.
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UCSC-REAL/negative-label-smoothing
UCSC-REAL/negative-label-smoothing Public[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
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Robust-f-divergence-measures
Robust-f-divergence-measures Public[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
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