196 citations · 525 across the 17 of their papers we have counts for
3 papers · 1 filter
How Convolutional Neural Network Architecture Biases Learned Opponency and Colour Tuning
Ethan Harris, Daniela Mihai, Jonathon Hare
Recent work suggests that changing Convolutional Neural Network (CNN) architecture by introducing a bottleneck in the second layer can yield changes in learned function. To underst…
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…