2021
On the effects of quantisation on model uncertainty in Bayesian neural networks
UAI 2021poster
Bayesian neural networks (BNNs) are making significant progress in many research areas where decision-making needs to be accompanied by uncertainty estimation. Being able to quantify uncertainty while making decisions is essential for understanding when the model is over-/under-confident, and hence…