Enhancing Stability in Model Distillation: A Generic Approach Using Central Limit Theorem-Based Testing Sana Hassan Artificial Intelligence Category – MarkTechPost
[[{“value”:” Model distillation is a method for creating interpretable machine learning models by using a simpler “student” model to replicate the predictions of a complex “teacher” model. However, if the student model’s performance varies significantly with different training datasets, its explanations may need to be… Read More »Enhancing Stability in Model Distillation: A Generic Approach Using Central Limit Theorem-Based Testing Sana Hassan Artificial Intelligence Category – MarkTechPost