76 citations · 84 across the 3 of their papers we have counts for
3 papers
stat.ML2017★ 2 cited
Proceedings of NIPS 2017 Symposium on Interpretable Machine Learning
Andrew Gordon Wilson, Jason Yosinski, Patrice Simard +2
This is the Proceedings of NIPS 2017 Symposium on Interpretable Machine Learning, held in Long Beach, California, USA on December 7, 2017
cs.LG2017★ 76 cited
Machine Teaching: A New Paradigm for Building Machine Learning Systems
Patrice Y. Simard, Saleema Amershi, David M. Chickering +8
The current processes for building machine learning systems require practitioners with deep knowledge of machine learning. This significantly limits the number of machine learning…
cs.CL2016★ 6 cited
Interactive Semantic Featuring for Text Classification
Camille Jandot, Patrice Simard, Max Chickering +2
In text classification, dictionaries can be used to define human-comprehensible features. We propose an improvement to dictionary features called smoothed dictionary features. Thes…