BACON: A fully explainable AI model with graded logic for decision making problems

20 May 2025

Papers citing "BACON: A fully explainable AI model with graded logic for decision making problems"

8 / 8 papers shown

Title
Do Two AI Scientists Agree? Xinghong Fu Ziming Liu Max Tegmark 51 1 0 03 Apr 2025
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 52 361 0 14 Feb 2020
Neural Logic Machines Honghua Dong Jiayuan Mao Tian Lin Chong-Jun Wang Lihong Li Denny Zhou NAI LRM AI4CE 99 249 0 26 Apr 2019
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 66 267 0 23 Feb 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 446 21,459 0 22 May 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 343 3,742 0 28 Feb 2017
The Mythos of Model Interpretability Zachary Chase Lipton FaML 110 3,672 0 10 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 519 16,765 0 16 Feb 2016