MLLGAug 8, 2017

Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017)

arXiv:1708.02666v16 citations
Originality Synthesis-oriented
AI Analysis

This is a collection of workshop materials, not a research paper with incremental or significant findings.

This is a proceedings document for a workshop on human interpretability in machine learning, which does not tackle a specific problem or report results.

This is the Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017), which was held in Sydney, Australia, August 10, 2017. Invited speakers were Tony Jebara, Pang Wei Koh, and David Sontag.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes