Calibrating Deep Neural Networks using Focal Loss
Miscalibration - a mismatch between a model's confidence and its correctness - of Deep Neural Networks (DNNs) makes their predictions hard to rely on. Ideally, we want networks to be accurate, calibrated and confident... (read more)
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
Focal Loss
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Loss Functions |