Oct 10, 2020 · In this paper, we define and quantify the significance of interactions among multiple input variables of the DNN. Input variables with strong ...
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In this paper, we define and quantify the significance of interactions among multiple input variables of the DNN. Input variables with strong interactions ...
Official code implementation for the paper "Interpreting Multivariate Shapley Interactions in DNNs" (AAAI 2021) paper.
Oct 10, 2020 · This paper defines and quantify the significance of interactions among multiple input variables of the DNN based on the Shapley value, ...
In this paper, we define and quantify the significance of interactions among multiple input variables of the DNN. Input variables with strong interactions ...
Interpreting Multivariate Shapley Interactions in DNNs. Published in AAAI, 2021. This paper defined and quantified the multivariate interaction. Input ...
Oct 10, 2020 · In this paper, we define and quantify the significance of interactions among multiple input variables of the DNN. Paper · Add Code.
Aug 1, 2024 · Interpreting multivariate shapley interactions in dnns. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 35, pages ...
Interpreting Multivariate Shapley Interactions in DNNs. Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, and Quanshi Zhang (Correspondence) AAAI, 2021 [PDF] ...
In this paper, we define and quantify the significance of interactions among multiple input variables of the DNN. Input variables with strong interactions ...