16 citations · 33 across the 13 of their papers we have counts for
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cs.LG2023
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
Yuli Slavutsky, Yuval Benjamini
Zero-shot learning methods typically assume that the new, unseen classes encountered during deployment come from the same distribution as the the classes in the training set. Howev…
stat.ML2023
Confident Feature Ranking
Bitya Neuhof, Yuval Benjamini
Machine learning models are widely applied in various fields. Stakeholders often use post-hoc feature importance methods to better understand the input features' contribution to th…
stat.ME2023
Logistic Regression Equivalence: A Framework for Comparing Logistic Regression Models Across Populations
Guy Ashiri-Prossner, Yuval Benjamini
In this paper we discuss how to evaluate the differences between fitted logistic regression models across sub-populations. Our motivating example is in studying computerized diagno…