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Online Model Selection research benchmarks · SOTA2 Research

Online Model Selection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Rotated MNIST Abrupt Drift

OOMD with Safeguarded Large Learning Rates

44.48Cumulative Loss

10

May 27, 2026

Rotated MNIST Incremental Drift

OOMD with Safeguarded Large Learning Rates

42.97Cumulative Loss

5

May 27, 2026

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