Explaining Classifiers with Causal Concept Effect (CaCE)

16 July 2019

Papers citing "Explaining Classifiers with Causal Concept Effect (CaCE)"

6 / 56 papers shown

Title
Generative causal explanations of black-box classifiers Matthew R. O’Shaughnessy Gregory H. Canal Marissa Connor Mark A. Davenport Christopher Rozell CML 37 73 0 24 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 44 593 0 16 Jun 2020
CausaLM: Causal Model Explanation Through Counterfactual Language Models Amir Feder Nadav Oved Uri Shalit Roi Reichart CML LRM 56 157 0 27 May 2020
Explaining AI-based Decision Support Systems using Concept Localization Maps Adriano Lucieri Muhammad Naseer Bajwa Andreas Dengel Sheraz Ahmed 27 26 0 04 May 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 40 213 0 09 Mar 2020
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan O. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 122 297 0 17 Oct 2019