Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability

26 October 2020

Gintare Karolina Dziugaite

Papers citing "Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability"

21 / 21 papers shown

Title
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 73 2 0 14 Feb 2025
Fairness and Sparsity within Rashomon sets: Enumeration-Free Exploration and Characterization Lucas Langlade Julien Ferry Gabriel Laberge Thibaut Vidal 51 0 0 07 Feb 2025
Are Logistic Models Really Interpretable? Danial Dervovic Freddy Lecue Nicolas Marchesotti Daniele Magazzeni 27 0 0 19 Jun 2024
A Theory of Interpretable Approximations Marco Bressan Nicolò Cesa-Bianchi Emmanuel Esposito Yishay Mansour Shay Moran Maximilian Thiessen FAtt 24 4 0 15 Jun 2024
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation Yinjun Wu Mayank Keoliya Kan Chen Neelay Velingker Ziyang Li E. Getzen Qi Long Mayur Naik Ravi B. Parikh Eric Wong 44 1 0 02 Jun 2024
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales Ayushi Nirmal Amrita Bhattacharjee Paras Sheth Huan Liu AAML 35 11 0 19 Mar 2024
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry Ulrich Aivodji Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 26 5 0 22 Dec 2023
Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships Abhra Chaudhuri Massimiliano Mancini Zeynep Akata Anjan Dutta 24 2 0 24 Oct 2023
Distance-Aware eXplanation Based Learning Misgina Tsighe Hagos Niamh Belton Kathleen M. Curran Brian Mac Namee FAtt 23 0 0 11 Sep 2023
Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs L. Delong Ramon Fernández Mir Zonglin Ji Fiona Niamh Coulter Smith Jacques D. Fleuriot 35 1 0 17 Jul 2023
Learning from Exemplary Explanations Misgina Tsighe Hagos Kathleen M. Curran Brian Mac Namee FAtt 24 1 0 12 Jul 2023
Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion C. K. Loo W. S. Liew S. Wermter CLL 11 0 0 23 Jun 2023
Integration of Radiomics and Tumor Biomarkers in Interpretable Machine Learning Models L. Brocki N. C. Chung 17 6 0 20 Mar 2023
Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators in Neural Networks L. Brocki N. C. Chung FAtt AAML 43 11 0 02 Mar 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey L. Delong Ramon Fernández Mir Jacques D. Fleuriot NAI 28 12 0 14 Feb 2023
Testing the effectiveness of saliency-based explainability in NLP using randomized survey-based experiments Adel Rahimi Shaurya Jain FAtt 13 0 0 25 Nov 2022
Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning Danial Dervovic Nicolas Marchesotti Freddy Lecue Daniele Magazzeni 37 0 0 11 Nov 2022
Perspectives on Incorporating Expert Feedback into Model Updates Valerie Chen Umang Bhatt Hoda Heidari Adrian Weller Ameet Talwalkar 30 11 0 13 May 2022
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy Nathanael Jo S. Aghaei A. Gómez P. Vayanos FaML 27 12 0 24 Jan 2022
Explanation from Specification Harish Naik Gyorgy Turán XAI 27 0 0 13 Dec 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017