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Multi-criteria Rank-based Aggregation for Explainable AI

Multi-criteria Rank-based Aggregation for Explainable AI

Sujoy Chatterjee
Everton Romanzini Colombo
Marcos Medeiros Raimundo
    XAI
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Papers citing "Multi-criteria Rank-based Aggregation for Explainable AI"

12 / 12 papers shown
Title
Provably Better Explanations with Optimized Aggregation of Feature Attributions
Provably Better Explanations with Optimized Aggregation of Feature Attributions
Thomas Decker
Ananta R. Bhattarai
Jindong Gu
Volker Tresp
Florian Buettner
53
3
0
07 Jun 2024
Accelerating the Global Aggregation of Local Explanations
Accelerating the Global Aggregation of Local Explanations
Alon Mor
Yonatan Belinkov
B. Kimelfeld
FAtt
39
4
0
13 Dec 2023
Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
Usha Bhalla
Suraj Srinivas
Himabindu Lakkaraju
FAtt
CML
55
7
0
27 Jul 2023
Explainability in Machine Learning: a Pedagogical Perspective
Explainability in Machine Learning: a Pedagogical Perspective
Andreas Bueff
I. Papantonis
Auste Simkute
Vaishak Belle
36
2
0
21 Feb 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
228
190
0
03 Feb 2022
GLocalX -- From Local to Global Explanations of Black Box AI Models
GLocalX -- From Local to Global Explanations of Black Box AI Models
Mattia Setzu
Riccardo Guidotti
A. Monreale
Franco Turini
D. Pedreschi
F. Giannotti
39
119
0
19 Jan 2021
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Ricards Marcinkevics
Julia E. Vogt
XAI
61
120
0
03 Dec 2020
Evaluating and Aggregating Feature-based Model Explanations
Evaluating and Aggregating Feature-based Model Explanations
Umang Bhatt
Adrian Weller
J. M. F. Moura
XAI
70
219
0
01 May 2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models
ViCE: Visual Counterfactual Explanations for Machine Learning Models
Oscar Gomez
Steffen Holter
Jun Yuan
E. Bertini
AAML
72
96
0
05 Mar 2020
Towards Robust Interpretability with Self-Explaining Neural Networks
Towards Robust Interpretability with Self-Explaining Neural Networks
David Alvarez-Melis
Tommi Jaakkola
MILM
XAI
103
938
0
20 Jun 2018
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
524
21,613
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
577
16,828
0
16 Feb 2016