Zi Wang, Alexander Ku, Jason Baldridge, Thomas L. Griffiths, Been Kim
TL;DR引入了高斯过程探针 (Gaussian process probes, GPP) 框架,是一种确定模型表示哪些概念的方法,并测量其不确定性,从而为理解和评估机器学习模型的能力提供了一种数据效率高、多功能和具有不确定性意识的工具。
Abstract
Understanding which concepts models can and cannot represent has been fundamental to many tasks: from effective and responsible use of models to detecting out of distribution data. We introduce gaussian process probes