Hyeonseok Lee

Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation

We present a novel method for reliably explaining the predictions of neural networks. We consider an explanation reliable if it identifies input features relevant to the model output by considering the input and the neighboring data points. Our method is built on top of the assumption of smooth land…