29 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values
Yurong Liu, R. Teal Witter, Flip Korn +4
Banzhaf values provide a popular, interpretable alternative to the widely-used Shapley values for quantifying the importance of features in machine learning models. Like Shapley va…
cs.DB2024★ 2 cited
Efficiently Estimating Mutual Information Between Attributes Across Tables
Aécio Santos, Flip Korn, Juliana Freire
Relational data augmentation is a powerful technique for enhancing data analytics and improving machine learning models by incorporating columns from external datasets. However, it…
cs.CL2023★ 29 cited
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models
Benjamin Feuer, Yurong Liu, Chinmay Hegde +1
Existing deep-learning approaches to semantic column type annotation (CTA) have important shortcomings: they rely on semantic types which are fixed at training time; require a larg…