Data Shapley in One Training Run
Attributes training data contributions to a particular model run. It accumulates Shapley values of gradient updates rather than repeatedly retraining models on different data subsets.
Overview
Attributes training data contributions to a particular model run. It accumulates Shapley values of gradient updates rather than repeatedly retraining models on different data subsets.
Attributes training data contributions to a particular model run. It accumulates Shapley values of gradient updates rather than repeatedly retraining models on different data subsets.
When reading the original paper, identify its problem, inputs, outputs, and methodological assumptions.
Attributes training data contributions to a particular model run. It accumulates Shapley values of gradient updates rather than repeatedly retraining models on different data subsets.
Check the baselines, datasets, evaluation protocol, and ablations in the original paper. This directory overview does not provide an independent evaluation or experimental results table.
References
ID: iclr-2025-in-run-data-shapley · Last verified:
