2 papers
cs.CV2024
On the Detection of Anomalous or Out-Of-Distribution Data in Vision Models Using Statistical Techniques
Laura O'Mahony, David JP O'Sullivan, Nikola S. Nikolov
Out-of-distribution data and anomalous inputs are vulnerabilities of machine learning systems today, often causing systems to make incorrect predictions. The diverse range of data…
cs.CV2023
Disentangling Neuron Representations with Concept Vectors
Laura O'Mahony, Vincent Andrearczyk, Henning Muller +1
Mechanistic interpretability aims to understand how models store representations by breaking down neural networks into interpretable units. However, the occurrence of polysemantic…