10 citations · 30 across the 8 of their papers we have counts for
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cs.LG2020★ 4 cited
An Extension of LIME with Improvement of Interpretability and Fidelity
Sheng Shi, Yangzhou Du, Wei Fan
While deep learning makes significant achievements in Artificial Intelligence (AI), the lack of transparency has limited its broad application in various vertical domains. Explaina…
cs.LG2020★ 8 cited
A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation
Sheng Shi, Xinfeng Zhang, Wei Fan
Explainability is a gateway between Artificial Intelligence and society as the current popular deep learning models are generally weak in explaining the reasoning process and predi…