Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond

Kyriakos Axiotis, Vincent Cohen-Addad, Monika Henzinger +5

We study the data selection problem, whose aim is to select a small representative subset of data that can be used to efficiently train a machine learning model. We present a new d…