37 citations · 79 across the 15 of their papers we have counts for
Showing 2019 · stat.MLShow all
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stat.ML2019★ 6 cited
Improving VAEs' Robustness to Adversarial Attack
Matthew Willetts, Alexander Camuto, Tom Rainforth +2
Variational autoencoders (VAEs) have recently been shown to be vulnerable to adversarial attacks, wherein they are fooled into reconstructing a chosen target image. However, how to…
stat.ML2019
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels
Matthew Willetts, Stephen J Roberts, Christopher C Holmes
In semi-supervised learning for classification, it is assumed that every ground truth class of data is present in the small labelled dataset. Many real-world sparsely-labelled data…