Accelerating Shapley Explanation via Contributive Cooperator Selection

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Accelerating Shapley Explanation via Contributive Cooperator Selection

17 June 2022

Fan Yang

Pushkar Tripathi

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Papers citing "Accelerating Shapley Explanation via Contributive Cooperator Selection"

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Title
Efficient XAI Techniques: A Taxonomic Survey Yu-Neng Chuang Guanchu Wang Fan Yang Zirui Liu Xuanting Cai Mengnan Du Xia Hu 49 34 0 07 Feb 2023
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu Sujay Khandagale Colin White Willie Neiswanger 105 66 0 23 Jun 2021
Model-Based Counterfactual Synthesizer for Interpretation Fan Yang Sahan Suresh Alva Jiahao Chen X. Hu 40 31 0 16 Jun 2021
Sampling Permutations for Shapley Value Estimation Rory Mitchell Joshua N. Cooper E. Frank G. Holmes 59 120 0 25 Apr 2021
Shapley Explanation Networks Rui Wang Xiaoqian Wang David I. Inouye TDI FAtt 60 45 0 06 Apr 2021
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression Ian Covert Su-In Lee FAtt 56 171 0 02 Dec 2020
Feature Importance Ranking for Deep Learning Maksymilian Wojtas Ke Chen 186 117 0 18 Oct 2020
On the Tractability of SHAP Explanations Guy Van den Broeck A. Lykov Maximilian Schleich Dan Suciu FAtt TDI 66 276 0 18 Sep 2020
Captum: A unified and generic model interpretability library for PyTorch Narine Kokhlikyan Vivek Miglani Miguel Martin Edward Wang B. Alsallakh ... Alexander Melnikov Natalia Kliushkina Carlos Araya Siqi Yan Orion Reblitz-Richardson FAtt 144 846 0 16 Sep 2020
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation Marco Ancona Cengiz Öztireli Markus Gross FAtt TDI 99 226 0 26 Mar 2019
Towards Efficient Data Valuation Based on the Shapley Value R. Jia David Dao Wei Ping F. Hubis Nicholas Hynes Nezihe Merve Gürel Yue Liu Ce Zhang Basel Alomair C. Spanos TDI 72 421 0 27 Feb 2019
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan FAtt TDI 115 216 0 08 Aug 2018
Antithetic and Monte Carlo kernel estimators for partial rankings Maria Lomeli Mark Rowland Arthur Gretton Zoubin Ghahramani 42 19 0 01 Jul 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,002 0 22 May 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He 122 2,650 0 13 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 191 6,015 0 04 Mar 2017
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 67 1,902 0 28 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,027 0 16 Feb 2016