2019
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks
NeurIPS 2019poster
Recent efforts to improve the interpretability of deep neural networks use saliency to characterize the importance of input features to predictions made by models. Work on interpretability using saliency-based methods on Recurrent Neural Networks (RNNs) has mostly targeted language tasks, and their…