# Dimensionality Reduction on ImageNet ILSVRC2012 (val)

Source: [Dimensionality Reduction on ImageNet ILSVRC2012 (val)](<https://www.sota2.com/research/sota/dimensionality-reduction-on-imagenet-ilsvrc2012-val>)

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

Data updated: 2026-02-26T05:21:01.483Z

Evaluation of dimensionality reduction techniques applied to the validation set of ImageNet ILSVRC2012, measured using 1-NN Accuracy, Trustworthiness, CTA, and Runtime.

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 | Dimensionality Reduction |
| Dataset (including any stated split) | ImageNet ILSVRC2012 (val) |
| Metric | 1-NN Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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

- [1-NN Accuracy](<https://www.sota2.com/research/sota/dimensionality-reduction-on-imagenet-ilsvrc2012-val.md?metric=1-NN%20Accuracy>): Higher is better; unit: PERCENT.

- [Trustworthiness](<https://www.sota2.com/research/sota/dimensionality-reduction-on-imagenet-ilsvrc2012-val.md?metric=Trustworthiness>): Higher is better; unit: SCALAR.

- [CTA](<https://www.sota2.com/research/sota/dimensionality-reduction-on-imagenet-ilsvrc2012-val.md?metric=CTA>): Higher is better; unit: SCALAR.

- [Runtime (s)](<https://www.sota2.com/research/sota/dimensionality-reduction-on-imagenet-ilsvrc2012-val.md?metric=Runtime%20(s)>): Lower is better; unit: TIME.

## Recorded results

| Method | 1-NN Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| FIt-SNE | 52.6 | Not recorded | 68fa6ca71e209131cea35449 |
| h-NNE | 51.8 | Not recorded | 68fa6ca71e209131cea35449 |
| UMAP | 23.8 | Not recorded | 68fa6ca71e209131cea35449 |

### FIt-SNE

1-NN Accuracy: 52.6. Result ID: 698f2da63a6c314849f6b0d7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ca71e209131cea35449.md>)

Recorded evaluation configuration: {"projection mode":"new points"}. This record does not assert independent reproduction.

### h-NNE

1-NN Accuracy: 51.8. Result ID: 698f2da63a6c314849f6b0d8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ca71e209131cea35449.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ca71e209131cea35449.md>)

[Implementation](<https://github.com/koulakis/h-nne>)

Recorded evaluation configuration: {"projection mode":"new points"}. This record does not assert independent reproduction.

### UMAP

1-NN Accuracy: 23.8. Result ID: 698f2da63a6c314849f6b0d6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ca71e209131cea35449.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68501e209131cea1b5d2.md>)

[Implementation](<https://github.com/lmcinnes/umap>)

Recorded evaluation configuration: {"projection mode":"new points"}. This record does not assert independent reproduction.

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