2 papers
cs.CV2021
Explaining in Style: Training a GAN to explain a classifier in StyleSpace
Oran Lang, Yossi Gandelsman, Michal Yarom +8
Image classification models can depend on multiple different semantic attributes of the image. An explanation of the decision of the classifier needs to both discover and visualize…
cs.LG2017
Robust Conditional Probabilities
Yoav Wald, Amir Globerson
Conditional probabilities are a core concept in machine learning. For example, optimal prediction of a label given an input corresponds to maximizing the conditional probab…