104 citations · 113 across the 4 of their papers we have counts for
4 papers
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…
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…
Spatial and Colour Opponency in Anatomically Constrained Deep Networks
Ethan Harris, Daniela Mihai, Jonathon Hare
Colour vision has long fascinated scientists, who have sought to understand both the physiology of the mechanics of colour vision and the psychophysics of colour perception. We con…
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…