RISE: Randomized Input Sampling for Explanation of Black-box Model
Abstract
- Deep neural networks are prevalent and successful, but the decision making process is difficult to explain
- this paper proposes RISE, which generates an importance map indicating how salient each pixel is for the model's prediction
- it is a black-boxed model considering the deep learning model involved
- it has good generality and outperforms most of the existing methods
3 Randomized Input Sampling for Explanation (RISE)
