2 papers
cs.LG2024
Sanity Checks for Explanation Uncertainty
Matias Valdenegro-Toro, Mihir Mulye
Explanations for machine learning models can be hard to interpret or be wrong. Combining an explanation method with an uncertainty estimation method produces explanation uncertaint…
cs.LG2024
Uncertainty Quantification for Gradient-based Explanations in Neural Networks
Mihir Mulye, Matias Valdenegro-Toro
Explanation methods help understand the reasons for a model's prediction. These methods are increasingly involved in model debugging, performance optimization, and gaining insights…