DualView: Data Attribution from the Dual Perspective

arXiv:2402.12118v1 Announce Type: new
Abstract: Local data attribution (or influence estimation) techniques aim at estimating the impact that individual data points seen during training have on particular predictions of an already trained Machine Learning model during test time. Previous methods either do not perform well consistently across different evaluation criteria from literature, are characterized by a high computational demand, or suffer from both. In this work we present DualView, a novel method for post-hoc data attribution based on surrogate modelling, …

abstract aim arxiv attribution cs.ai cs.lg data evaluation impact influence literature machine machine learning machine learning model perspective predictions test training type