3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.CV2019★ 3 cited
Unsupervised Temperature Scaling: An Unsupervised Post-Processing Calibration Method of Deep Networks
Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Wilson Leão +1
The great performances of deep learning are undeniable, with impressive results over a wide range of tasks. However, the output confidence of these models is usually not well-calib…
cs.LG2018
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…