# Image Classification on MNIST 70% symmetric label noise (test)

Source: [Image Classification on MNIST 70% symmetric label noise (test)](<https://www.sota2.com/research/sota/image-classification-on-mnist-70-percent-symmetric-label-noise-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:28:38.396Z

Evaluation of Image Classification performance on the test split of the MNIST dataset corrupted specifically with 70% symmetric label noise.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Image Classification |
| Dataset (including any stated split) | MNIST 70% symmetric label noise (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/image-classification-on-mnist-70-percent-symmetric-label-noise-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| BARE | 91.61 | Not recorded | 68fa6e271e209131cea3e2e0 |
| CL | 88.28 | Not recorded | 68fa6e271e209131cea3e2e0 |
| COT+ | 87.26 | Not recorded | 68fa6e271e209131cea3e2e0 |
| COT | 87.17 | Not recorded | 68fa6e271e209131cea3e2e0 |
| MR | 85.1 | Not recorded | 68fa6e271e209131cea3e2e0 |
| MN | 65.52 | Not recorded | 68fa6e271e209131cea3e2e0 |
| CCE | 61.19 | Not recorded | 68fa6e271e209131cea3e2e0 |

### BARE

Accuracy: 91.61. Result ID: 699007193a6c314849fd934c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e271e209131cea3e2e0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e271e209131cea3e2e0.md>)

[Implementation](<https://github.com/dbp1994/masters_thesis_codes/tree/main/BARE>)

Recorded evaluation configuration: {"Algorithm":"BAtch REweighting","Backbone":"1-hidden layer MLP","Noise Level":"70% symmetric"}. This record does not assert independent reproduction.

### CL

Accuracy: 88.28. Result ID: 699007193a6c314849fd934a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e271e209131cea3e2e0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa671d1e209131cea145d8.md>)

Recorded evaluation configuration: {"Algorithm":"Curriculum Learning","Backbone":"1-hidden layer MLP","Noise Level":"70% symmetric"}. This record does not assert independent reproduction.

### COT+

Accuracy: 87.26. Result ID: 699007193a6c314849fd9347.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e271e209131cea3e2e0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65bb1e209131cea0bed4.md>)

Recorded evaluation configuration: {"Algorithm":"Co-Teaching+","Backbone":"1-hidden layer MLP","Noise Level":"70% symmetric"}. This record does not assert independent reproduction.

### COT

Accuracy: 87.17. Result ID: 699007193a6c314849fd9346.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e271e209131cea3e2e0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64fe1e209131cea07aa4.md>)

[Implementation](<https://github.com/bhanML/Co-teaching>)

Recorded evaluation configuration: {"Algorithm":"Co-Teaching","Backbone":"1-hidden layer MLP","Noise Level":"70% symmetric"}. This record does not assert independent reproduction.

### MR

Accuracy: 85.1. Result ID: 699007193a6c314849fd9348.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e271e209131cea3e2e0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65be1e209131cea0c1af.md>)

Recorded evaluation configuration: {"Algorithm":"Meta-Reweighting","Backbone":"1-hidden layer MLP","Noise Level":"70% symmetric"}. This record does not assert independent reproduction.

### MN

Accuracy: 65.52. Result ID: 699007193a6c314849fd9349.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e271e209131cea3e2e0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66791e209131cea1067e.md>)

[Implementation](<https://github.com/xjtushujun/meta-weight-net>)

Recorded evaluation configuration: {"Algorithm":"Meta-Net","Backbone":"1-hidden layer MLP","Noise Level":"70% symmetric"}. This record does not assert independent reproduction.

### CCE

Accuracy: 61.19. Result ID: 699007193a6c314849fd934b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e271e209131cea3e2e0.md>)

Recorded evaluation configuration: {"Algorithm":"Cross-Entropy Error","Backbone":"1-hidden layer MLP","Noise Level":"70% symmetric"}. This record does not assert independent reproduction.

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