Conditional expectation network for SHAP

20 July 2023

Papers citing "Conditional expectation network for SHAP"

10 / 10 papers shown

Title
Understanding Interventional TreeSHAP : How and Why it Works Gabriel Laberge Y. Pequignot FAtt 42 6 0 29 Sep 2022
Unifying local and global model explanations by functional decomposition of low dimensional structures M. Hiabu Josephine T. Meyer Marvin N. Wright FAtt 82 21 0 12 Aug 2022
Faith-Shap: The Faithful Shapley Interaction Index Che-Ping Tsai Chih-Kuan Yeh Pradeep Ravikumar TDI 88 54 0 02 Mar 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 477 7,827 0 11 Nov 2021
Feature relevance quantification in explainable AI: A causal problem Dominik Janzing Lenon Minorics Patrick Blobaum FAtt CML 94 284 0 29 Oct 2019
The many Shapley values for model explanation Mukund Sundararajan A. Najmi TDI FAtt 68 638 0 22 Aug 2019
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values K. Aas Martin Jullum Anders Løland FAtt TDI 88 627 0 25 Mar 2019
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,090 0 22 May 2017
Entity Embeddings of Categorical Variables Cheng Guo Felix Berkhahn 104 403 0 22 Apr 2016
Artificial Neural Networks Applied to Taxi Destination Prediction A. D. Brébisson Étienne Simon Alex Auvolat Pascal Vincent Yoshua Bengio 91 186 0 31 Jul 2015