A Unified Approach to Interpreting Model Predictions
Authors: Scott Lundberg, Su-In Lee | Published: 2017-05-22 | Updated: 2017-11-25
XAI (Explainable AI)
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Authors: Ruth Fong, Andrea Vedaldi | Published: 2017-04-11 | Updated: 2021-12-03
Learning Important Features Through Propagating Activation Differences
Authors: Avanti Shrikumar, Peyton Greenside, Anshul Kundaje | Published: 2017-04-10 | Updated: 2019-10-12
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Authors: Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra | Published: 2016-10-07 | Updated: 2019-12-03
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier
Authors: Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin | Published: 2016-02-16 | Updated: 2016-08-09
Understanding Deep Image Representations by Inverting Them
Authors: Aravindh Mahendran, Andrea Vedaldi | Published: 2014-11-26
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Authors: Karen Simonyan, Andrea Vedaldi, Andrew Zisserman | Published: 2013-12-20 | Updated: 2014-04-19
Visualizing and Understanding Convolutional Networks
Authors: Matthew D Zeiler, Rob Fergus | Published: 2013-11-12 | Updated: 2013-11-28