Propagating variational model uncertainty for bioacoustic call label smoothing
Propagating variational model uncertainty for bioacoustic call label smoothing
Along with propagating the input toward making a prediction, Bayesian neural networks also propagate uncertainty. This has the potential to guide the training process by rejecting predictions of low confidence, and recent variational Bayesian methods can do so without Monte Carlo sampling of weights. Here, we apply sample-free methods for …