Overcoming Barriers
Dan discusses the feasibility of mutual information calculation and the challenges of uncertainty quantification in self-explaining AI. He emphasizes the importance of uncertainties for both diagnosis and explanation, highlighting the potential use of Bayesian uncertainty estimation using dropout.In this clip
From this podcast

Data Skeptic
Self-Explaining AI
Related Questions