Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks

Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Wilson Leão +2

Recently, Deep Neural Networks (DNNs) have been achieving impressive results on wide range of tasks. However, they suffer from being well-calibrated. In decision-making application…