Conditional updates of neural network weights for increased out of training performance
This study proposes a method to enhance neural network performance when training data and application data are not very similar, e.g., out of distribution problems, as well as pattern and regime shifts. In contrast to previous approaches to out of distribution problems, which alter the inputs and outputs of an operator...