23 citations · 77 across the 11 of their papers we have counts for
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cs.LG2020★ 9 cited
A Bayesian Perspective on Training Speed and Model Selection
Clare Lyle, Lisa Schut, Binxin Ru +2
We take a Bayesian perspective to illustrate a connection between training speed and the marginal likelihood in linear models. This provides two major insights: first, that a measu…
stat.ML2020★ 13 cited
Speedy Performance Estimation for Neural Architecture Search
Binxin Ru, Clare Lyle, Lisa Schut +3
Reliable yet efficient evaluation of generalisation performance of a proposed architecture is crucial to the success of neural architecture search (NAS). Traditional approaches fac…
cs.LG2020★ 1 cited
Capsule Networks -- A Probabilistic Perspective
Lewis Smith, Lisa Schut, Yarin Gal +1
'Capsule' models try to explicitly represent the poses of objects, enforcing a linear relationship between an object's pose and that of its constituent parts. This modelling assump…