Clarity: an improved gradient method for producing quality visual counterfactual explanations. Visual counterfactual explanations identify modifications to an image that would change the prediction of a classifier.
Nov 22, 2022
Apr 21, 2023 · In this talk, I will focus on counterfactual explanations. Given a classifier C, an input X and its predicted class y = C(X), a.
classifiers, that improves the quality of counterfactual visual explanations. This method contributes to make models more interpretable by design, and capable.
These improvements lead to a novel classification model, Clarity, which produces realistic counterfactual explanations over all images. We also present several ...
Nov 22, 2022 · These improvements lead to a novel classification model, Clarity, which produces re- alistic counterfactual explanations over all im- ages. We ...
Oct 2, 2024 · ... method called Clarity delivers counterfactual images of. high-quality, competitive with the state-of-the-art. 1 Introduction. Deep Neural ...
These improvements lead to a novel classification model, Clarity, which produces realistic counterfactual explanations over all images. We also present several ...
Clarity: an improved gradient method for producing quality visual counterfactual explanations ... Visual counterfactual explanations identify modifications ...
Clarity: an improved gradient method for producing quality visual counterfactual explanations. C Theobald, F Pennerath, B Conan-Guez, M Couceiro, A Napoli.
Clarity: an improved gradient method for producing quality visual counterfactual explanations. Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel ...