Search Results for author: Runxin He

Found 1 papers, 0 papers with code

ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values

no code implementations29 Sep 2023 Yong Zhao, Runxin He, Nicholas Kersting, Can Liu, Shubham Agrawal, Chiranjeet Chetia, Yu Gu

SHAP package is a leading implementation of Shapley values to explain neural networks implemented in TensorFlow or PyTorch but lacks cross-platform support, one-shot deployment and is highly inefficient.

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