2 papers
cs.LG2025
GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
Pingbang Hu, Joseph Melkonian, Weijing Tang +2
Gradient-based data attribution methods, such as influence functions, are critical for understanding the impact of individual training samples without requiring repeated model retr…
cs.LG2025
Daunce: Data Attribution through Uncertainty Estimation
Xingyuan Pan, Chenlu Ye, Joseph Melkonian +2
Training data attribution (TDA) methods aim to identify which training examples influence a model's predictions on specific test data most. By quantifying these influences, TDA sup…