模型可解释性

Sep 16, 2022·
Shenghui (Samuel) Gu
Shenghui (Samuel) Gu
· 1 min read
Abstract
简单介绍模型的可解释性。
Date
Sep 16, 2022 4:00 PM — 5:00 PM
Event
Meituan internal sharing session
Location

Meituan

221 Huangxing Road, Yangpu District, Shanghai, Shanghai 200082

events

简单介绍模型的可解释性。

参考的这位 UP 主的视频【一起啃书】Interpretable Machine Learning,建议去看看。

Shenghui (Samuel) Gu
Authors
Postdoctoral Researcher
Postdoctoral Researcher at the University of Ottawa specializing in Trustworthy AI and Software Engineering, holding a Ph.D. from Nanjing University. Research lies at the intersection of AI Safety and System Reliability, with deep expertise spanning LLM-driven testing, search-based software engineering for autonomous systems, and AIOps for distributed architectures. Dedicated to developing rigorous, interpretable, and scalable methodologies that leverage generative AI to solve complex validation challenges in safety-critical and large-scale industrial systems.