2020
Benchmarking Deep Learning Interpretability in Time Series Predictions
NeurIPS 2020poster
Saliency methods are used extensively to highlight the importance of input features in model predictions. These methods are mostly used in vision and language tasks, and their applications to time series data is relatively unexplored. In this paper, we set out to extensively compare the performance…