Explainability
Prediction Uncertainty
Measures confidence in predictions (e.g., Monte Carlo Dropout)
2 techniques in this subcategory
2 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| Monte Carlo Dropout | Algorithmic | Architecture/neural Networks Paradigm/probabilistic +4 | Any | Monte Carlo Dropout estimates prediction uncertainty by applying dropout (randomly setting neural network weights to... | ||
| Out-of-Distribution Detector for Neural Networks | Algorithmic | Architecture/neural Networks Paradigm/discriminative +3 | Any | ODIN (Out-of-Distribution Detector for Neural Networks) identifies when a neural network encounters inputs significantly... |
Rows per page
Page 1 of 1