NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:1589
Title:Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components

The paper proposes an interesting probabilistic reasoning process that considers the presence or absence of various components (that are indicative of several properties of an instance) and combines them together as (potentially interpretable) evidence for its final classification. The idea seems to us novel and interesting. Multiple experiments are provided to support the approach. The paper is also well-written and clear. Hence, we recommend acceptance.