24 citations · 168 across the 34 of their papers we have counts for
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cs.LG2022★ 3 cited
Random initialisations performing above chance and how to find them
Frederik Benzing, Simon Schug, Robert Meier +5
Neural networks trained with stochastic gradient descent (SGD) starting from different random initialisations typically find functionally very similar solutions, raising the questi…
cs.LG2022
Robustness to corruption in pre-trained Bayesian neural networks
Xi Wang, Laurence Aitchison
We develop ShiftMatch, a new training-data-dependent likelihood for robustness to corruption in Bayesian neural networks (BNNs). ShiftMatch is inspired by the training-data-depende…