Practical Machine Learning Explainability: Surrogate Explainers and Fairwashing
ADM+S Members Only, ECR Students, HDR Students, Melbourne, Online
Join this session delivered by ADM+S Affiliate Kacper Sokol and Associate Investigator Danula Hetticachchi as they introduce the three core components of surrogate explainers: data sampling, interpretable representation and explanation generation in view of text, image and tabular data.
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