Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/ProMix

ProMix

Reported on 10 benchmarks across 2 tasks · 1 paper · 8 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision5 results

Image ClassificationonCIFAR-10N-Aggregate
Accuracy (mean)· 2022-07-21
97.39
SOTA
ProMix: Combating Label Noise via Maximizing Clean Sample Utility arXiv:2207.10276
Image ClassificationonCIFAR-10N-Random1
Accuracy (mean)· 2022-07-21
96.97
SOTA
ProMix: Combating Label Noise via Maximizing Clean Sample Utility arXiv:2207.10276
Image ClassificationonCIFAR-10N
Accuracy· 2022-07-21
97.39
SOTA
ProMix: Combating Label Noise via Maximizing Clean Sample Utility arXiv:2207.10276
Image ClassificationonCIFAR-10N-Worst
Accuracy (mean)· 2022-07-21
96.16
SOTA
ProMix: Combating Label Noise via Maximizing Clean Sample Utility arXiv:2207.10276
Image ClassificationonCIFAR-100N
Accuracy (mean)· 2022-07-21
73.39
best: 74.08 (PGDF)
ProMix: Combating Label Noise via Maximizing Clean Sample Utility arXiv:2207.10276

Medical5 results

Document Text ClassificationonCIFAR-10N-Aggregate
Accuracy (mean)· 2022-07-21
97.39
SOTA
ProMix: Combating Label Noise via Maximizing Clean Sample Utility arXiv:2207.10276
Document Text ClassificationonCIFAR-10N-Random1
Accuracy (mean)· 2022-07-21
96.97
SOTA
ProMix: Combating Label Noise via Maximizing Clean Sample Utility arXiv:2207.10276
Document Text ClassificationonCIFAR-10N
Accuracy· 2022-07-21
97.39
SOTA
ProMix: Combating Label Noise via Maximizing Clean Sample Utility arXiv:2207.10276
Document Text ClassificationonCIFAR-10N-Worst
Accuracy (mean)· 2022-07-21
96.16
SOTA
ProMix: Combating Label Noise via Maximizing Clean Sample Utility arXiv:2207.10276
Document Text ClassificationonCIFAR-100N
Accuracy (mean)· 2022-07-21
73.39
best: 74.08 (PGDF)
ProMix: Combating Label Noise via Maximizing Clean Sample Utility arXiv:2207.10276