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Models/CE

CE

Reported on 10 benchmarks across 2 tasks

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-Random2
Accuracy (mean)
86.46
best: 96.21 (PSSCL)
Image ClassificationonCIFAR-10N-Random3
Accuracy (mean)
85.16
best: 96.49 (PSSCL)
Image ClassificationonCIFAR-10N-Aggregate
Accuracy (mean)
87.77
best: 97.39 (ProMix)
Image ClassificationonCIFAR-100N
Accuracy (mean)
55.5
best: 74.08 (PGDF)
Image ClassificationonCIFAR-10N-Worst
Accuracy (mean)
77.69
best: 96.16 (ProMix)

Medical5 results

Document Text ClassificationonCIFAR-10N-Random2
Accuracy (mean)
86.46
best: 96.21 (PSSCL)
Document Text ClassificationonCIFAR-10N-Random3
Accuracy (mean)
85.16
best: 96.49 (PSSCL)
Document Text ClassificationonCIFAR-10N-Aggregate
Accuracy (mean)
87.77
best: 97.39 (ProMix)
Document Text ClassificationonCIFAR-100N
Accuracy (mean)
55.5
best: 74.08 (PGDF)
Document Text ClassificationonCIFAR-10N-Worst
Accuracy (mean)
77.69
best: 96.16 (ProMix)