2021
Sensitivity Direction Learning with Neural Networks Using Domain Knowledge as Soft Shape Constraints
IJCAI 2021poster
If domain knowledge can be integrated as an appropriate constraint, it is highly possible that the generalization performance of a neural network model can be improved. We propose Sensitivity Direction Learning (SDL) for learning about the neural network model with user-specified relationships (e.g.…