2019
Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components
NeurIPS 2019poster
Abstract Neural networks are state-of-the-art classification approaches but are generally difficult to interpret. This issue can be partly alleviated by constructing a precise decision process within the neural network. In this work, a network architecture, denoted as Classification-By-Components ne…