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20112024
most citedInterpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems

83 citations · 266 across the 39 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.LG2023★ 1 cited

Knowledge from Uncertainty in Evidential Deep Learning

Cai Davies, Marc Roig Vilamala, Alun D. Preece +3

This work reveals an evidential signal that emerges from the uncertainty value in Evidential Deep Learning (EDL). EDL is one example of a class of uncertainty-aware deep learning a…

cs.AI2023★ 1 cited

Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation

Jack Furby, Daniel Cunnington, Dave Braines +1

Concept Bottleneck Models (CBMs) first map raw input(s) to a vector of human-defined concepts, before using this vector to predict a final classification. We might therefore expect…