104 citations · 108 across the 3 of their papers we have counts for
3 papers
Linear Disentangled Representations and Unsupervised Action Estimation
Matthew Painter, Jonathon Hare, Adam Prugel-Bennett
Disentangled representation learning has seen a surge in interest over recent times, generally focusing on new models which optimise one of many disparate disentanglement metrics.…
FMix: Enhancing Mixed Sample Data Augmentation
Ethan Harris, Antonia Marcu, Matthew Painter +3
Mixed Sample Data Augmentation (MSDA) has received increasing attention in recent years, with many successful variants such as MixUp and CutMix. By studying the mutual information…
Torchbearer: A Model Fitting Library for PyTorch
Ethan Harris, Matthew Painter, Jonathon Hare
We introduce torchbearer, a model fitting library for pytorch aimed at researchers working on deep learning or differentiable programming. The torchbearer library provides a high l…