2 papers
cs.LG2024
TextCAVs: Debugging vision models using text
Angus Nicolson, Yarin Gal, J. Alison Noble
Concept-based interpretability methods are a popular form of explanation for deep learning models which provide explanations in the form of high-level human interpretable concepts.…
cs.LG2024
Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors
Angus Nicolson, Lisa Schut, J. Alison Noble +1
Concept-based explanations translate the internal representations of deep learning models into a language that humans are familiar with: concepts. One popular method for finding co…