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Towards Rigorous Interpretations: a Formalisation of Feature Attribution
v1v2 (latest)

Towards Rigorous Interpretations: a Formalisation of Feature Attribution

International Conference on Machine Learning (ICML), 2021
26 April 2021
Darius Afchar
Romain Hennequin
Vincent Guigue
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Towards Rigorous Interpretations: a Formalisation of Feature Attribution"

12 / 12 papers shown
Title
Time-series attribution maps with regularized contrastive learning
Time-series attribution maps with regularized contrastive learningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Steffen Schneider
Rodrigo González Laiz
Anastasiia Filippova
Markus Frey
Mackenzie W. Mathis
BDLFAttCMLAI4TS
242
3
0
17 Feb 2025
Logic-Based Explainability: Past, Present & Future
Logic-Based Explainability: Past, Present & Future
Joao Marques-Silva
274
3
0
04 Jun 2024
RankingSHAP -- Listwise Feature Attribution Explanations for Ranking Models
RankingSHAP -- Listwise Feature Attribution Explanations for Ranking ModelsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024
Maria Heuss
Maarten de Rijke
Avishek Anand
729
3
0
24 Mar 2024
Prospector Heads: Generalized Feature Attribution for Large Models &
  Data
Prospector Heads: Generalized Feature Attribution for Large Models & Data
Gautam Machiraju
Alexander Derry
Arjun D Desai
Neel Guha
Amir-Hossein Karimi
James Zou
Russ Altman
Christopher Ré
Parag Mallick
AI4TSMedIm
286
2
0
18 Feb 2024
A Refutation of Shapley Values for Explainability
A Refutation of Shapley Values for Explainability
Xuanxiang Huang
Sasha Rubin
FAtt
318
3
0
06 Sep 2023
The Inadequacy of Shapley Values for Explainability
The Inadequacy of Shapley Values for Explainability
Xuanxiang Huang
Sasha Rubin
FAtt
271
46
0
16 Feb 2023
Impossibility Theorems for Feature Attribution
Impossibility Theorems for Feature AttributionProceedings of the National Academy of Sciences of the United States of America (PNAS), 2022
Blair Bilodeau
Natasha Jaques
Pang Wei Koh
Been Kim
FAtt
228
110
0
22 Dec 2022
Explainability as statistical inference
Explainability as statistical inferenceInternational Conference on Machine Learning (ICML), 2022
Hugo Senetaire
Damien Garreau
J. Frellsen
Pierre-Alexandre Mattei
FAtt
292
4
0
06 Dec 2022
Local Interpretable Model Agnostic Shap Explanations for machine
  learning models
Local Interpretable Model Agnostic Shap Explanations for machine learning models
P. Aditya
M. Pal
FAtt
238
9
0
10 Oct 2022
Learning Unsupervised Hierarchies of Audio Concepts
Learning Unsupervised Hierarchies of Audio ConceptsInternational Society for Music Information Retrieval Conference (ISMIR), 2022
Darius Afchar
Romain Hennequin
Vincent Guigue
187
3
0
21 Jul 2022
A Consistent and Efficient Evaluation Strategy for Attribution Methods
A Consistent and Efficient Evaluation Strategy for Attribution MethodsInternational Conference on Machine Learning (ICML), 2022
Yao Rong
Tobias Leemann
V. Borisov
Gjergji Kasneci
Enkelejda Kasneci
FAtt
277
122
0
01 Feb 2022
"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
FAttFaML
2.1K
19,394
0
16 Feb 2016
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