Understanding Interlocking Dynamics of Cooperative Rationalization
Understanding Interlocking Dynamics of Cooperative Rationalization
Selective rationalization explains the prediction of complex neural networks by finding a small subset of the input that is sufficient to predict the neural model output. The selection mechanism is commonly integrated into the model itself by specifying a two-component cascaded system consisting of a rationale generator, which makes a …