75 citations · 261 across the 24 of their papers we have counts for
Showing 2020Show all
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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…
cs.LG2020★ 17 cited
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
Binxin Ru, Xingchen Wan, Xiaowen Dong +1
Current neural architecture search (NAS) strategies focus only on finding a single, good, architecture. They offer little insight into why a specific network is performing well, or…
cs.LG2020★ 17 cited
Neural Architecture Generator Optimization
Binxin Ru, Pedro Esperanca, Fabio Carlucci
Neural Architecture Search (NAS) was first proposed to achieve state-of-the-art performance through the discovery of new architecture patterns, without human intervention. An over-…