Posts
Some of my written posts!
Natural adversaries and out-of-distribution detection
A brief look at a more ‘natural’ approach to adversarial attacks and whether they can be considered to be ‘within distribution’ of the original model.
Making a start with feature visualisation! This is a really cool method when trying to interpret the information a network is learning.
Discusses the more advanced aspects of feature visualisation improving on the previous part!
Looks at a particular weakness of neural networks when we give them out-of-distribution data to classify.
What my PhD is about!
Feature Visualisation Part 3 (an update)
An update on feature visualisation using learned kernels! I’ve simplified some code and thrown out some unnecessary loss functions.
Feature Visualisation for Transformers (a first attempt)
A first attempt at applying the feature visualisation techniques to a vision transformer (ViT) which didn’t turn out too well!