Reference
Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings,
International Conference on Machine Learning(2018)
Abstract
Modern neural networks have recently been found to be poorly calibrated, primarily in the direction of over-confidence. Methods like entropy penalty and temperature smoothing improve calibration by...
