3 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
Correcting Flaws in Common Disentanglement Metrics
Louis Mahon, Lei Shah, Thomas Lukasiewicz
Recent years have seen growing interest in learning disentangled representations, in which distinct features, such as size or shape, are represented by distinct neurons. Quantifyin…
Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation
Louis Mahon, Thomas Lukasiewicz
Online deep clustering refers to the joint use of a feature extraction network and a clustering model to assign cluster labels to each new data point or batch as it is processed. W…
Efficient Deep Clustering of Human Activities and How to Improve Evaluation
Louis Mahon, Thomas Lukasiewicz
There has been much recent research on human activity re\-cog\-ni\-tion (HAR), due to the proliferation of wearable sensors in watches and phones, and the advances of deep learning…
Selective Pseudo-label Clustering
Louis Mahon, Thomas Lukasiewicz
Deep neural networks (DNNs) offer a means of addressing the challenging task of clustering high-dimensional data. DNNs can extract useful features, and so produce a lower dimension…