Rakshith Subramanyam*

DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation

"Reliably detecting when a deployed machine learning model is likely to fail on a given input is crucial for ensuring safe operation. In this work, we propose DECIDER (Debiasing Classifiers to Identify Errors Reliably), a novel approach that leverages priors from large language models (LLMs) and vis…