17 citations · 37 across the 6 of their papers we have counts for
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cs.LG2019
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift
Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Christian Gagne
The uncertainty estimation is critical in real-world decision making applications, especially when distributional shift between the training and test data are prevalent. Many calib…
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…