104 citations · 113 across the 4 of their papers we have counts for
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cs.CV2020★ 1 cited
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…
cs.LG2020★ 104 cited
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…