7 citations · 26 across the 11 of their papers we have counts for
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stat.ML2021
Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics
Amirata Ghorbani, Dina Berenbaum, Maor Ivgi +2
Interpretability is becoming an active research topic as machine learning (ML) models are more widely used to make critical decisions. Tabular data is one of the most commonly used…
cs.LG2021
Achieving Model Robustness through Discrete Adversarial Training
Maor Ivgi, Jonathan Berant
Discrete adversarial attacks are symbolic perturbations to a language input that preserve the output label but lead to a prediction error. While such attacks have been extensively…