# Learning with Out-of-Distribution Noise on CIFAR-100 (IND) + Places-365 (OOD) (test)

Source: [Learning with Out-of-Distribution Noise on CIFAR-100 (IND) + Places-365 (OOD) (test)](<https://www.sota2.com/research/sota/learning-with-out-of-distribution-noise-on-cifar-100-ind-plus-places-365-ood-test>)

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

Data updated: 2026-02-26T05:33:01.460Z

Evaluation of model performance when trained on CIFAR-100 (In-Distribution) and tested against Places-365 (Out-of-Distribution) data, focusing on noise handling capabilities.

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 | Learning with Out-of-Distribution Noise |
| Dataset (including any stated split) | CIFAR-100 (IND) + Places-365 (OOD) (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| 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/learning-with-out-of-distribution-noise-on-cifar-100-ind-plus-places-365-ood-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [AUROC](<https://www.sota2.com/research/sota/learning-with-out-of-distribution-noise-on-cifar-100-ind-plus-places-365-ood-test.md?metric=AUROC>): Higher is better; unit: PERCENT.

- [F-measure](<https://www.sota2.com/research/sota/learning-with-out-of-distribution-noise-on-cifar-100-ind-plus-places-365-ood-test.md?metric=F-measure>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| NGC | 73.44 | Not recorded | 68fa6a951e209131cea2911d |
| ProtoMix | 72.05 | Not recorded | 68fa6a951e209131cea2911d |

### NGC

Accuracy: 73.44. Result ID: 699ac2b95698665ec450f28d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a951e209131cea2911d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a951e209131cea2911d.md>)

Recorded evaluation configuration: {"IND noise":"50% symmetric","OOD training samples":"20k","OOD test samples":"10k"}. This record does not assert independent reproduction.

### ProtoMix

Accuracy: 72.05. Result ID: 699ac2b95698665ec450f28c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a951e209131cea2911d.md>)

Recorded evaluation configuration: {"IND noise":"50% symmetric","OOD training samples":"20k","OOD test samples":"10k"}. This record does not assert independent reproduction.

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