2021
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions
AAAI 2021technical
Explaining black-box models such as deep neural networks is becoming increasingly important as it helps to boost trust and debugging. Popular forms of explanations map the features to a vector indicating their individual importance to a decision on the instance-level. They can then be used to preven…