Global Explanations of Neural Networks: Mapping the Landscape of
Predictions

Global Explanations of Neural Networks: Mapping the Landscape of Predictions

6 February 2019

Papers citing "Global Explanations of Neural Networks: Mapping the Landscape of Predictions"

14 / 14 papers shown

Title
ShapG: new feature importance method based on the Shapley value Chi Zhao Jing Liu Elena Parilina FAtt 191 4 0 29 Jun 2024
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 241 190 0 03 Feb 2022
Global Model Interpretation via Recursive Partitioning Chengliang Yang Anand Rangarajan Sanjay Ranka FAtt 40 79 0 11 Feb 2018
Distilling a Neural Network Into a Soft Decision Tree Nicholas Frosst Geoffrey E. Hinton 264 635 0 27 Nov 2017
The (Un)reliability of saliency methods Pieter-Jan Kindermans Sara Hooker Julius Adebayo Maximilian Alber Kristof T. Schütt Sven Dähne D. Erhan Been Kim FAtt XAI 89 683 0 02 Nov 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 718 21,613 0 22 May 2017
Learning how to explain neural networks: PatternNet and PatternAttribution Pieter-Jan Kindermans Kristof T. Schütt Maximilian Alber K. Müller D. Erhan Been Kim Sven Dähne XAI FAtt 65 338 0 16 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 148 3,848 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 149 5,920 0 04 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 359 3,742 0 28 Feb 2017
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers Alexander Binder G. Montavon Sebastian Lapuschkin K. Müller Wojciech Samek FAtt 63 456 0 04 Apr 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 496 37,815 0 09 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 772 16,828 0 16 Feb 2016
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 219 7,252 0 20 Dec 2013