# Spurious Correlation Mitigation on ImageNet Source: [Spurious Correlation Mitigation on ImageNet]() Collection index: [llms.txt]() Data updated: 2026-03-18T06:41:19.509Z Evaluation of model performance on the ImageNet dataset specifically targeting the mitigation of spurious correlations, measured by Overall, Clean, and Spurious Accuracy. 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 | Spurious Correlation Mitigation | | Dataset (including any stated split) | ImageNet | | Metric | Overall Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 5 of 5 | | 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 - [Overall Accuracy](): Higher is better; unit: PERCENT. - [Clean Accuracy](): Higher is better; unit: PERCENT. - [Spurious Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Overall Accuracy | Result date | Report paper | | --- | --- | --- | --- | | Benign model | 69.14 | Not recorded | 69ba316b0636e5bf4afc05f7 | | Fine-tuned model | 67.83 | Not recorded | 69ba316b0636e5bf4afc05f7 | | Dynamic edited model | 67.6 | Not recorded | 69ba316b0636e5bf4afc05f7 | | Fine-tuned model | 67.41 | Not recorded | 69ba316b0636e5bf4afc05f7 | | Dynamic edited model | 66.19 | Not recorded | 69ba316b0636e5bf4afc05f7 | ### Benign model Overall Accuracy: 69.14. Result ID: 69ba488047f34ce924a37609. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Fine-tuned model Overall Accuracy: 67.83. Result ID: 69ba488047f34ce924a3760b. [Reporting paper]() Recorded evaluation configuration: {"n":"20"}. This record does not assert independent reproduction. ### Dynamic edited model Overall Accuracy: 67.6. Result ID: 69ba488047f34ce924a3760d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"n":"20"}. This record does not assert independent reproduction. ### Fine-tuned model Overall Accuracy: 67.41. Result ID: 69ba488047f34ce924a3760a. [Reporting paper]() Recorded evaluation configuration: {"n":"10"}. This record does not assert independent reproduction. ### Dynamic edited model Overall Accuracy: 66.19. Result ID: 69ba488047f34ce924a3760c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"n":"1"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.