Example-based Explanations for Random Forests using Machine Unlearning

Example-based Explanations for Random Forests using Machine Unlearning

7 February 2024

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Papers citing "Example-based Explanations for Random Forests using Machine Unlearning"

14 / 14 papers shown

Title
CAVE-Net: Classifying Abnormalities in Video Capsule Endoscopy Ishita Harish Saurav Mishra Neha Bhadoria Rithik Kumar Madhav Arora Syed Rameem Zahra Ankur Gupta 83 2 0 31 Dec 2024
Interpretable Data-Based Explanations for Fairness Debugging Romila Pradhan Jiongli Zhu Boris Glavic Babak Salimi 60 54 0 17 Dec 2021
Adaptive Machine Unlearning Varun Gupta Christopher Jung Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi Chris Waites MU 64 183 0 08 Jun 2021
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals Sainyam Galhotra Romila Pradhan Babak Salimi CML 65 107 0 22 Mar 2021
Complaint-driven Training Data Debugging for Query 2.0 Weiyuan Wu Lampros Flokas Eugene Wu Jiannan Wang 62 44 0 12 Apr 2020
On Second-Order Group Influence Functions for Black-Box Predictions S. Basu Xuchen You Soheil Feizi TDI 96 71 0 01 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 121 6,269 0 22 Oct 2019
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 80 340 0 22 Feb 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 131 3,967 0 06 Feb 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 117 2,360 0 01 Nov 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,002 0 22 May 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 213 2,899 0 14 Mar 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 300 2,120 0 24 Oct 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,027 0 16 Feb 2016

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