Gradient-based Counterfactual Explanations using Tractable Probabilistic Models

16 May 2022

Papers citing "Gradient-based Counterfactual Explanations using Tractable Probabilistic Models"

3 / 3 papers shown

Title
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 19 106 0 20 Oct 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,658 0 28 Feb 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,813 0 08 Jul 2016