Yu-Neng Chuang

CoRTX: Contrastive Framework for Real-time Explanation

2023 · arXiv (Cornell University)

Recent advancements in explainable machine learning provide effective and faithful solutions for interpreting model behaviors. However, many explanation methods encounter efficiency issues, which largely limit their deployments in practical scenarios. Real-time explainer (RTX) frameworks have …

CODA: Temporal Domain Generalization via Concept Drift Simulator

2023 · arXiv (Cornell University)

In real-world applications, machine learning models often become obsolete due to shifts in the joint distribution arising from underlying temporal trends, a phenomenon known as the "concept drift". Existing works propose model-specific strategies to achieve …