Proceedings of AAAI 2019 Workshop on Network Interpretability for Deep Learning

It targets researchers and practitioners in AI/ML by providing a collection of works on interpretability, but it is incremental as it aggregates existing research rather than introducing new findings.

This paper compiles proceedings from a workshop focused on addressing the problem of interpretability in deep learning networks, presenting various research contributions without specifying a single result or concrete numbers.