57 citations · 186 across the 12 of their papers we have counts for
Showing 2017 · stat.MLShow all
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stat.ML2017★ 29 cited
Variational Gaussian Dropout is not Bayesian
Jiri Hron, Alexander G. de G. Matthews, Zoubin Ghahramani
Gaussian multiplicative noise is commonly used as a stochastic regularisation technique in training of deterministic neural networks. A recent paper reinterpreted the technique as…
stat.ML2017★ 18 cited
Concrete Dropout
Yarin Gal, Jiri Hron, Alex Kendall
Dropout is used as a practical tool to obtain uncertainty estimates in large vision models and reinforcement learning (RL) tasks. But to obtain well-calibrated uncertainty estimate…