4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Dropout Prediction Uncertainty Estimation Using Neuron Activation Strength
Haichao Yu, Zhe Chen, Dong Lin +2
Dropout has been commonly used to quantify prediction uncertainty, i.e, the variations of model predictions on a given input example. However, using dropout in practice can be expe…
cs.LG2020★ 4 cited
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems
Zhe Chen, Yuyan Wang, Dong Lin +4
Despite deep neural network (DNN)'s impressive prediction performance in various domains, it is well known now that a set of DNN models trained with the same model specification an…