17 citations · 37 across the 6 of their papers we have counts for
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cs.LG2018★ 17 cited
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…
cs.LG2018★ 8 cited
Diversity regularization in deep ensembles
Changjian Shui, Azadeh Sadat Mozafari, Jonathan Marek +2
Calibrating the confidence of supervised learning models is important for a variety of contexts where the certainty over predictions should be reliable. However, it has been report…