Search Results for author: Angus Nicolson

Found 2 papers, 1 papers with code

Date Published Github Stars

Explaining Explainability: Understanding Concept Activation Vectors

no code implementations • 4 Apr 2024 • Angus Nicolson, Lisa Schut, J. Alison Noble, Yarin Gal

We introduce tools designed to detect the presence of these properties, provide insight into how they affect the derived explanations, and provide recommendations to minimise their impact.

 
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The SaTML '24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability

1 code implementation • 3 Apr 2024 • Stephen Casper, Jieun Yun, Joonhyuk Baek, Yeseong Jung, Minhwan Kim, Kiwan Kwon, Saerom Park, Hayden Moore, David Shriver, Marissa Connor, Keltin Grimes, Angus Nicolson, Arush Tagade, Jessica Rumbelow, Hieu Minh Nguyen, Dylan Hadfield-Menell

Interpretability techniques are valuable for helping humans understand and oversee AI systems.

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