Avanti Shrikumar

Learning Important Features Through Propagating Activation Differences

2017 · arXiv (Cornell University)

The purported black box nature of neural networks is a barrier to adoption in applications where interpretability is essential. Here we present DeepLIFT (Deep Learning Important FeaTures), a method for decomposing the output prediction of …