12 citations · 43 across the 13 of their papers we have counts for
3 papers · 1 filter
Effective Version Space Reduction for Convolutional Neural Networks
Jiayu Liu, Ioannis Chiotellis, Rudolph Triebel +1
In active learning, sampling bias could pose a serious inconsistency problem and hinder the algorithm from finding the optimal hypothesis. However, many methods for neural networks…
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Jongseok Lee, Matthias Humt, Jianxiang Feng +1
We present a sparse representation of model uncertainty for Deep Neural Networks (DNNs) where the parameter posterior is approximated with an inverse formulation of the Multivariat…
Non-Parametric Calibration for Classification
Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel
Many applications of classification methods not only require high accuracy but also reliable estimation of predictive uncertainty. However, while many current classification framew…