560 citations · 876 across the 11 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.LG2018★ 66 cited
An Interpretable Model with Globally Consistent Explanations for Credit Risk
Chaofan Chen, Kangcheng Lin, Cynthia Rudin +3
We propose a possible solution to a public challenge posed by the Fair Isaac Corporation (FICO), which is to provide an explainable model for credit risk assessment. Rather than pr…
cs.LG2018★ 560 cited
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen, Oscar Li, Chaofan Tao +3
When we are faced with challenging image classification tasks, we often explain our reasoning by dissecting the image, and pointing out prototypical aspects of one class or another…