Evaluating Data-Centric Optimization Strategies for Improving Machine Learning Generalization
Machine learning research has traditionally emphasized model-centric optimization, often overlooking the critical role of data quality in determining generalization performance. However, real-world datasets frequently suffer from noise, imbalance, and limited diversity, which constrain model effectiveness despite incre...