Joseph Melkonian

GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection

Gradient-based data attribution methods, such as influence functions, are critical for understanding the impact of individual training samples without requiring repeated model retraining. However, their scalability is often limited by the high computational and memory costs associated with per-sampl…