Tutorial On Explanations In Interactive Machine Learning Aaai 22

Summary

In this video I present the "Entropy-based Logic L. Jiang, S. Liu and C. Chen, Recent advances on The opacity of deep neural networks remains a challenge in deploying solutions where Second class of the semester. September 3, 2020. This is the recording of the PAIR Make LLMs Smarter (and Safer!) Large Language Models (LLMs) are amazing, but how do we trust their reasoning? When an ... How Does Explainability (XAI) Help Monitor ML Models? Have you ever wondered how AI systems maintain accuracy and ... Title: Explainable AI - from generalities to time series Speaker: Jonathan Crabbé Abstract: Modern This talk was originally presented by Thomas Winters at the 36th