Image Classification on CIFAR-10 (test) (Uniform Noise 0%, 40%, 80%)
95.52Accuracy (40% Noise)RTE (PBT)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| RTE (PBT)#Params=13.1M, Configuration=Population Based Training2021.09 | 95.52 | — | 93.64 | |
| CE+JSD+ECR#Params=13.1M2021.09 | 95.45 | — | 76.08 | |
| RTE (Manual)#Params=13.1M, Configuration=Manual2021.09 | 94.84 | 95.67 | 93.09 | |
| GCE-only#Params=13.1M2021.09 | 91.35 | — | 59.15 | |
| CE-only#Params=13.1M2021.09 | 90.06 | — | 59.66 | |
| M-DYR-H#Params=11.2M2021.09 | 86.6 | — | — | |
| DivideMix#Params=11.2M2021.09 | 79.8 | 94.9 | — | |
| Meta-Learning2021.09 | 77.4 | — | — | |
| MixUp2021.09 | 71.6 | — | — | |
| S-Model2021.09 | 70.64 | — | — | |
| Reed-Hard2021.09 | 69.66 | — | — | |
| GCE#Params=21.8M2021.09 | 64.07 | 87.12 | — | |
| Forward T2021.09 | 54.64 | 83.25 | — | |
| Co-Teaching2021.09 | 29.22 | 81.85 | — | |
| Bi-Level#Params=11.2M2021.09 | — | 89 | — | |
| MentorNet PD#Params=84M2021.09 | — | 77 | 33 | |
| Open Set2021.09 | — | 78.15 | — | |
| Rand Weights#Params=36.4M2021.09 | — | 86.06 | — | |
| RoG2021.09 | — | 81.83 | — | |
| RTE#Params=11.2M, Backbone=PreAct ResNet-182021.09 | — | — | 92 | |
| SELF#Params=25.0M2021.09 | — | 93.7 | 69.91 | |
| SELFIE2021.09 | — | 86.5 | — |