# Image Classification on CIFAR-100 (test) (Accuracy at ε=0.4 and ε=0.6 Noise) Source: [Image Classification on CIFAR-100 (test) (Accuracy at ε=0.4 and ε=0.6 Noise)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:34:34.635Z Evaluation of Image Classification performance on the CIFAR-100 test set, specifically reporting accuracy metrics under uniform noise levels corresponding to ε=0.4 and ε=0.6. 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) | CIFAR-100 (test) | | Metric | Accuracy (ε=0.4) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 8 of 8 | | 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 (ε=0.4)](): Higher is better; unit: PERCENT. - [Accuracy (ε=0.6)](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy (ε=0.4) | Result date | Report paper | | --- | --- | --- | --- | | CORES2 | 72.22 | Not recorded | 68fa698f1e209131cea22a5b | | SELF | 66.71 | Not recorded | 68fa698f1e209131cea22a5b | | NLNL | 66.39 | Not recorded | 68fa698f1e209131cea22a5b | | Lq | 61.77 | Not recorded | 68fa698f1e209131cea22a5b | | Forward T | 53.04 | Not recorded | 68fa698f1e209131cea22a5b | | LDMI | 52.32 | Not recorded | 68fa698f1e209131cea22a5b | | Cross Entropy | 48.2 | Not recorded | 68fa698f1e209131cea22a5b | | MAE | 7.68 | Not recorded | 68fa698f1e209131cea22a5b | ### CORES2 Accuracy (ε=0.4): 72.22. Result ID: 698db6708b517eb433234439. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### SELF Accuracy (ε=0.4): 66.71. Result ID: 698db6708b517eb433234438. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### NLNL Accuracy (ε=0.4): 66.39. Result ID: 698db6708b517eb433234437. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Lq Accuracy (ε=0.4): 61.77. Result ID: 698db6708b517eb433234435. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Forward T Accuracy (ε=0.4): 53.04. Result ID: 698db6708b517eb433234434. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### LDMI Accuracy (ε=0.4): 52.32. Result ID: 698db6708b517eb433234436. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Cross Entropy Accuracy (ε=0.4): 48.2. Result ID: 698db6708b517eb433234432. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### MAE Accuracy (ε=0.4): 7.68. Result ID: 698db6708b517eb433234433. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.