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A Survey on the Robustness of Feature Importance and Counterfactual Explanations
30 October 2021
Saumitra Mishra
Sanghamitra Dutta
Jason Long
Daniele Magazzeni
AAML
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Papers citing
"A Survey on the Robustness of Feature Importance and Counterfactual Explanations"
15 / 15 papers shown
Title
Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry
Supriya Manna
Niladri Sett
177
0
0
30 Dec 2024
Counterfactual Metarules for Local and Global Recourse
Tom Bewley
Salim I. Amoukou
Saumitra Mishra
Daniele Magazzeni
Manuela Veloso
42
1
0
29 May 2024
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
Andrew Bell
Joao Fonseca
Carlo Abrate
Francesco Bonchi
Julia Stoyanovich
FaML
33
2
0
29 Jan 2024
Confident Feature Ranking
Bitya Neuhof
Y. Benjamini
FAtt
34
3
0
28 Jul 2023
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations
Dan Ley
Saumitra Mishra
Daniele Magazzeni
LRM
38
16
0
26 May 2023
Generating robust counterfactual explanations
Victor Guyomard
Franccoise Fessant
Thomas Guyet
Tassadit Bouadi
Alexandre Termier
46
10
0
24 Apr 2023
"How to make them stay?" -- Diverse Counterfactual Explanations of Employee Attrition
André Artelt
Andreas Gregoriades
31
5
0
08 Mar 2023
CLEAR: Generative Counterfactual Explanations on Graphs
Jing Ma
Ruocheng Guo
Saumitra Mishra
Aidong Zhang
Jundong Li
CML
OOD
40
54
0
16 Oct 2022
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations
Ricardo Müller
Marco Schreyer
Timur Sattarov
Damian Borth
AAML
MLAU
35
7
0
19 Sep 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino
Franca Delmastro
AI4TS
30
91
0
14 Sep 2022
Robust Counterfactual Explanations for Tree-Based Ensembles
Sanghamitra Dutta
Jason Long
Saumitra Mishra
Cecilia Tilli
Daniele Magazzeni
18
52
0
06 Jul 2022
Consistent Counterfactuals for Deep Models
Emily Black
Zifan Wang
Matt Fredrikson
Anupam Datta
BDL
OffRL
OOD
55
43
0
06 Oct 2021
A Causal Perspective on Meaningful and Robust Algorithmic Recourse
Gunnar Konig
Timo Freiesleben
Moritz Grosse-Wentrup
43
16
0
16 Jul 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
26
162
0
20 Oct 2020
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
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