Adaptive Learning Strategies

Sara discusses the need for adaptive computation in machine learning, emphasizing the importance of focusing on difficult examples rather than treating all data uniformly. She highlights the distinction between epistemic and aleatoric uncertainty, suggesting that targeted interventions can significantly enhance model performance by addressing different sources of uncertainty.