Improving Interpretability via Regularization of Neural Activation Sensitivity

Ofir Moshe, Gil Fidel, Ron Bitton +1

State-of-the-art deep neural networks (DNNs) are highly effective at tackling many real-world tasks. However, their wide adoption in mission-critical contexts is hampered by two ma…