$Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities$

Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities

2 August 2023

Genevera I. Allen

Papers citing "Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities"

5 / 5 papers shown

Title
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 40 10 0 27 Jul 2024
Visualization of Extremely Sparse Contingency Table by Taxicab Correspondence Analysis: A Case Study of Textual Data V. Choulakian J. Allard 20 0 0 06 Aug 2023
Toward a Taxonomy of Trust for Probabilistic Machine Learning Tamara Broderick Andrew Gelman Rachael Meager Anna L. Smith Tian Zheng 34 9 0 05 Dec 2021
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 255 426 0 15 Oct 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,690 0 28 Feb 2017