Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers

no code implementations • 2 Sep 2020 • Nathan Tsoi, Kate Candon, Deyuan Li, Yofti Milkessa, Marynel Vázquez

In this work, we propose a unifying approach to training neural network binary classifiers that combines a differentiable approximation of the Heaviside function with a probabilistic view of the typical confusion matrix values using soft sets.

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