Matrix Scaling

A generalization of temperature scaling that replaces the scalar temperature parameter with a full linear transformation matrix, yielding greater expressive capacity at the cost of parameter count that grows quadratically with the number of classes. It belongs to the family of post-hoc neural network calibration methods.