Neural Additive Models: Interpretable Machine Learning with Neural Nets

29 April 2020

Papers citing "Neural Additive Models: Interpretable Machine Learning with Neural Nets"

7 / 57 papers shown

Title
False perfection in machine prediction: Detecting and assessing circularity problems in machine learning Michael Hagmann Stefan Riezler 16 1 0 23 Jun 2021
SurvNAM: The machine learning survival model explanation Lev V. Utkin Egor D. Satyukov A. Konstantinov AAML FAtt 39 28 0 18 Apr 2021
Shapley Explanation Networks Rui Wang Xiaoqian Wang David I. Inouye TDI FAtt 17 44 0 06 Apr 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 43 650 0 20 Mar 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 16 20 0 04 Mar 2021
Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining High-Dimensional Data Christopher D. Blakely Ole-Christoffer Granmo 14 16 0 27 Jul 2020
Link Prediction using Graph Neural Networks for Master Data Management Balaji Ganesan Srinivas Parkala Neeraj R Singh Sumit Bhatia Gayatri Mishra Matheen Ahmed Pasha Hima Patel Somashekar Naganna AI4CE 21 11 0 07 Mar 2020