On Concept-Based Explanations in Deep Neural Networks

By Chih-Kuan Yeh, Been Kim, Sercan Ö. Arik, Chun-Liang Li, Pradeep Ravikumar, Tomas Pfister. 2019

44 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Zhi Chen
2. Cynthia Rudin
3. Yijie Bei
4. Tong Wang
5. Berk Ustun
6. Lesia Semenova
7. Nadia Burkart
8. Octavio Loyola-González

Citations in the corpus

• Concept whitening for interpretable image recognition (2020, background): “To address this weakness, several concept-based post-hoc explanation approaches have recently been proposed that do not rely on the concept aligning with individual units (Kim et al., 2017; Zhou et al., 2018b; Ghorbani et al., 2019; Yeh et al., 2019).”
• Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey (2020, unknown): “• In [95], Yeh et al.”