Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods

Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods

4 October 2019

Oana-Maria Camburu

Eleonora Giunchiglia

Jakob N. Foerster

Thomas Lukasiewicz

Papers citing "Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods"

18 / 18 papers shown

Title
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models Célia Wafa Ayad Thomas Bonnier Benjamin Bosch Sonali Parbhoo Jesse Read FAtt XAI 103 0 0 11 Feb 2025
Clairvoyance: A Pipeline Toolkit for Medical Time Series Daniel Jarrett Jinsung Yoon Ioana Bica Zhaozhi Qian A. Ercole M. Schaar AI4TS 26 35 0 28 Oct 2023
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 47 39 0 24 Oct 2022
On Computing Relevant Features for Explaining NBCs Yacine Izza Sasha Rubin 36 5 0 11 Jul 2022
Eliminating The Impossible, Whatever Remains Must Be True Jinqiang Yu Alexey Ignatiev Peter J. Stuckey Nina Narodytska Sasha Rubin 19 23 0 20 Jun 2022
Towards a consistent interpretation of AIOps models Yingzhe Lyu Gopi Krishnan Rajbahadur Dayi Lin Boyuan Chen Zhen Ming Z. Jiang AI4CE 22 19 0 04 Feb 2022
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts Sebastian Bordt Michèle Finck Eric Raidl U. V. Luxburg AILaw 39 77 0 25 Jan 2022
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations Bodhisattwa Prasad Majumder Oana-Maria Camburu Thomas Lukasiewicz Julian McAuley 25 35 0 25 Jun 2021
A Framework for Evaluating Post Hoc Feature-Additive Explainers Zachariah Carmichael Walter J. Scheirer FAtt 46 4 0 15 Jun 2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks Bhargavi Paranjape Julian Michael Marjan Ghazvininejad Luke Zettlemoyer Hannaneh Hajishirzi ReLM LRM 22 66 0 12 Jun 2021
On Efficiently Explaining Graph-Based Classifiers Xuanxiang Huang Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 34 37 0 02 Jun 2021
SAT-Based Rigorous Explanations for Decision Lists Alexey Ignatiev Sasha Rubin XAI 25 44 0 14 May 2021
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 27 25 0 07 Oct 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 28 26 0 04 Oct 2020
NILE : Natural Language Inference with Faithful Natural Language Explanations Sawan Kumar Partha P. Talukdar XAI LRM 11 159 0 25 May 2020
Evaluating and Aggregating Feature-based Model Explanations Umang Bhatt Adrian Weller J. M. F. Moura XAI 33 218 0 01 May 2020
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 260 620 0 04 Dec 2018
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 200 296 0 15 Oct 2012