MLNov 27, 2017
Proceedings of NIPS 2017 Symposium on Interpretable Machine Learning
arXiv:1711.09889v37 citations
Originality Synthesis-oriented
AI Analysis
It compiles discussions on interpretability, but is not a research paper with incremental or novel findings.
This is a proceedings document for a symposium on interpretable machine learning, presenting no specific research problem or results.
This is the Proceedings of NIPS 2017 Symposium on Interpretable Machine Learning, held in Long Beach, California, USA on December 7, 2017