Основные понятия
Catastrophic overfitting can be harnessed to enhance model performance by leveraging feature activation differences and introducing random noise.
Статистика
"CO occurs with salient feature activation differences."
"Models trained stably with regularization terms exhibit superior performance."
"Adding random noise to inputs during evaluation helps CO-affected models achieve optimal accuracy."
Цитаты
"CO can be attributed to the feature coverage induced by specific pathways."
"Models suffering from CO can attain optimal classification accuracy by adding random noise."