# Image Classification on MNIST Label Noise 0.4 (test) Source: [Image Classification on MNIST Label Noise 0.4 (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:51:50.631Z Evaluation of Image Classification performance on the test split of the MNIST dataset corrupted with 40% 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 Label Noise 0.4 (test) | | Metric | Mean Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 12 of 12 | | 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 - [Mean Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Mean Accuracy | Result date | Report paper | | --- | --- | --- | --- | | GIW | 93.74 | Not recorded | 68fa71131e209131cea4f1d5 | | GIW | 88.84 | Not recorded | 68fa71131e209131cea4f1d5 | | Pretrain-val | 85.43 | Not recorded | 68fa71131e209131cea4f1d5 | | Reweight | 84.73 | Not recorded | 68fa71131e209131cea4f1d5 | | CCSA | 84 | Not recorded | 68fa71131e209131cea4f1d5 | | Pretrain-val | 83.26 | Not recorded | 68fa71131e209131cea4f1d5 | | R-DIW | 81.19 | Not recorded | 68fa71131e209131cea4f1d5 | | MW-Net | 80.92 | Not recorded | 68fa71131e209131cea4f1d5 | | Val-only | 79.86 | Not recorded | 68fa71131e209131cea4f1d5 | | DIW | 79 | Not recorded | 68fa71131e209131cea4f1d5 | | Val-only | 78.94 | Not recorded | 68fa71131e209131cea4f1d5 | | DANN | 58.02 | Not recorded | 68fa71131e209131cea4f1d5 | ### GIW Mean Accuracy: 93.74. Result ID: 69917c183a6c314849087588. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Shift type":"Label Noise","Shift intensity":0.4,"Case":"iii","Trials":5}. This record does not assert independent reproduction. ### GIW Mean Accuracy: 88.84. Result ID: 69917c183a6c3148490875d8. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Shift Scenario":"Case (iv)"}. This record does not assert independent reproduction. ### Pretrain-val Mean Accuracy: 85.43. Result ID: 69917c183a6c314849087583. [Reporting paper]() Recorded evaluation configuration: {"Shift type":"Label Noise","Shift intensity":0.4,"Case":"iii","Trials":5}. This record does not assert independent reproduction. ### Reweight Mean Accuracy: 84.73. Result ID: 69917c183a6c314849087584. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Shift type":"Label Noise","Shift intensity":0.4,"Case":"iii","Trials":5}. This record does not assert independent reproduction. ### CCSA Mean Accuracy: 84. Result ID: 69917c183a6c3148490875d6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Shift Scenario":"Case (iv)"}. This record does not assert independent reproduction. ### Pretrain-val Mean Accuracy: 83.26. Result ID: 69917c183a6c3148490875d5. [Reporting paper]() Recorded evaluation configuration: {"Shift Scenario":"Case (iv)"}. This record does not assert independent reproduction. ### R-DIW Mean Accuracy: 81.19. Result ID: 69917c183a6c314849087586. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Shift type":"Label Noise","Shift intensity":0.4,"Case":"iii","Trials":5}. This record does not assert independent reproduction. ### MW-Net Mean Accuracy: 80.92. Result ID: 69917c183a6c314849087585. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Shift type":"Label Noise","Shift intensity":0.4,"Case":"iii","Trials":5}. This record does not assert independent reproduction. ### Val-only Mean Accuracy: 79.86. Result ID: 69917c183a6c3148490875d4. [Reporting paper]() Recorded evaluation configuration: {"Shift Scenario":"Case (iv)"}. This record does not assert independent reproduction. ### DIW Mean Accuracy: 79. Result ID: 69917c183a6c314849087587. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Shift type":"Label Noise","Shift intensity":0.4,"Case":"iii","Trials":5}. This record does not assert independent reproduction. ### Val-only Mean Accuracy: 78.94. Result ID: 69917c183a6c314849087582. [Reporting paper]() Recorded evaluation configuration: {"Shift type":"Label Noise","Shift intensity":0.4,"Case":"iii","Trials":5}. This record does not assert independent reproduction. ### DANN Mean Accuracy: 58.02. Result ID: 69917c183a6c3148490875d7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Shift Scenario":"Case (iv)"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.