Towards Feasible Counterfactual Explanations: A Taxonomy Guided
Template-based NLG Method

Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-based NLG Method

3 October 2023

Nirmalie Wiratunga

Papers citing "Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-based NLG Method"

5 / 5 papers shown

Title
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 50 245 0 01 Oct 2021
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification Linyi Yang Eoin M. Kenny T. L. J. Ng Yi Yang Barry Smyth Ruihai Dong 49 70 0 23 Oct 2020
NILE : Natural Language Inference with Faithful Natural Language Explanations Sawan Kumar Partha P. Talukdar XAI LRM 70 163 0 25 May 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 44 340 0 14 Feb 2020
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 81 2,332 0 01 Nov 2017