InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts

5 February 2024

Papers citing "InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts"

3 / 3 papers shown

Title
Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups Weiqiu You Helen Qu Marco Gatti Bhuvnesh Jain Eric Wong FAtt FaML 45 4 0 25 Oct 2023
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations Vinitra Swamy Jibril Frej Tanja Kaser 34 14 0 01 Jul 2023
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 177 186 0 03 Feb 2022