133 citations · 499 across the 17 of their papers we have counts for
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cs.LG2020★ 2 cited
Active Learning in CNNs via Expected Improvement Maximization
Udai G. Nagpal, David A Knowles
Deep learning models such as Convolutional Neural Networks (CNNs) have demonstrated high levels of effectiveness in a variety of domains, including computer vision and more recentl…
cs.LG2020★ 8 cited
Variational Variance: Simple, Reliable, Calibrated Heteroscedastic Noise Variance Parameterization
Andrew Stirn, David A. Knowles
Brittle optimization has been observed to adversely impact model likelihoods for regression and VAEs when simultaneously fitting neural network mappings from a (random) variable on…