ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.11097
  4. Cited By
Problems with Shapley-value-based explanations as feature importance
  measures
v1v2 (latest)

Problems with Shapley-value-based explanations as feature importance measures

International Conference on Machine Learning (ICML), 2020
25 February 2020
Indra Elizabeth Kumar
Suresh Venkatasubramanian
C. Scheidegger
Sorelle A. Friedler
    TDIFAtt
ArXiv (abs)PDFHTML

Papers citing "Problems with Shapley-value-based explanations as feature importance measures"

50 / 192 papers shown
Feature-Function Curvature Analysis: A Geometric Framework for Explaining Differentiable Models
Feature-Function Curvature Analysis: A Geometric Framework for Explaining Differentiable Models
Hamed Najafi
Dongsheng Luo
Jason Liu
150
0
0
31 Oct 2025
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
Clément Bénard
128
2
0
28 Oct 2025
SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism
SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism
Reda Marzouk
Shahaf Bassan
Guy Katz
FAtt
301
5
0
24 Oct 2025
Adaptive Data Selection for Multi-Layer Perceptron Training: A Sub-linear Value-Driven Method
Adaptive Data Selection for Multi-Layer Perceptron Training: A Sub-linear Value-Driven Method
Xiyang Zhang
Chen Liang
Haoxuan Qiu
Hongzhi Wang
172
0
0
24 Oct 2025
MAGIC-MASK: Multi-Agent Guided Inter-Agent Collaboration with Mask-Based Explainability for Reinforcement Learning
MAGIC-MASK: Multi-Agent Guided Inter-Agent Collaboration with Mask-Based Explainability for Reinforcement Learning
Maisha Maliha
Dean Hougen
166
0
0
30 Sep 2025
SHAPoint: Task-Agnostic, Efficient, and Interpretable Point-Based Risk Scoring via Shapley Values
SHAPoint: Task-Agnostic, Efficient, and Interpretable Point-Based Risk Scoring via Shapley Values
Tomer D. Meirman
Bracha Shapira
Noa Dagan
Lior Rokach
105
0
0
28 Sep 2025
Learn to Rank Risky Investors: A Case Study of Predicting Retail Traders' Behaviour and Profitability
Learn to Rank Risky Investors: A Case Study of Predicting Retail Traders' Behaviour and Profitability
Weixian Waylon Li
Tiejun Ma
185
1
0
20 Sep 2025
Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations
Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations
Carina Newen
Daniel Bodemer
Sonja Glantz
Emmanuel Müller
Magdalena Wischnewski
Lenka Schnaubert
239
0
0
10 Sep 2025
Rigorous Feature Importance Scores based on Shapley Value and Banzhaf Index
Rigorous Feature Importance Scores based on Shapley Value and Banzhaf Index
Xuanxiang Huang
Olivier Letoffe
Joao Marques-Silva
FAtt
209
0
0
16 Aug 2025
Informative Post-Hoc Explanations Only Exist for Simple Functions
Informative Post-Hoc Explanations Only Exist for Simple Functions
Eric Günther
Balázs Szabados
Robi Bhattacharjee
Sebastian Bordt
U. V. Luxburg
FAtt
215
3
0
15 Aug 2025
UbiQTree: Uncertainty Quantification in XAI with Tree Ensembles
UbiQTree: Uncertainty Quantification in XAI with Tree Ensembles
Akshat Dubey
Aleksandar Anžel
Bahar İlgen
Georges Hattab
FAttUD
370
2
0
13 Aug 2025
Attribution Explanations for Deep Neural Networks: A Theoretical Perspective
Attribution Explanations for Deep Neural Networks: A Theoretical Perspective
Huiqi Deng
Hongbin Pei
Quanshi Zhang
Mengnan Du
FAtt
211
1
0
11 Aug 2025
Multi-level Advantage Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
Multi-level Advantage Credit Assignment for Cooperative Multi-Agent Reinforcement LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Xutong Zhao
Yaqi Xie
141
0
0
09 Aug 2025
OrdShap: Feature Position Importance for Sequential Black-Box Models
OrdShap: Feature Position Importance for Sequential Black-Box Models
Davin Hill
Brian L. Hill
A. Masoomi
Vijay S. Nori
Robert E. Tillman
Jennifer Dy
FAtt
362
0
0
16 Jul 2025
AICO: Feature Significance Tests for Supervised Learning
AICO: Feature Significance Tests for Supervised Learning
K. Giesecke
Enguerrand Horel
Chartsiri Jirachotkulthorn
FAtt
306
0
0
29 Jun 2025
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods
Majid Mohammadi
Siu Lun Chau
Krikamol Muandet
FAtt
557
6
0
22 May 2025
Estimating Quality in Therapeutic Conversations: A Multi-Dimensional Natural Language Processing Framework
Estimating Quality in Therapeutic Conversations: A Multi-Dimensional Natural Language Processing Framework
Alice Rueda
Argyrios Perivolaris
Niloy Roy
Dylan Weston
Sarmed Shaya
...
Yanzhe Zhang
Bo Cao
Reza Samavi
Sridhar Krishnan
Venkat Bhat
254
0
0
09 May 2025
Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room
Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room
Danial Hooshyar
Gustav Šír
Yeongwook Yang
Eve Kikas
Raija Hamalainen
T. Karkkainen
Dragan Gašević
Roger Azevedo
453
8
0
22 Apr 2025
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations
Zhen Tan
Song Wang
Jiayi Zhang
Yu Kong
Jundong Li
Tianlong Chen
Huan Liu
FAtt
384
1
0
11 Apr 2025
How to safely discard features based on aggregate SHAP values
How to safely discard features based on aggregate SHAP valuesAnnual Conference Computational Learning Theory (COLT), 2025
Robi Bhattacharjee
Karolin Frohnapfel
U. V. Luxburg
TDIFAtt
409
4
0
29 Mar 2025
MaskSDM with Shapley values to improve flexibility, robustness, and explainability in species distribution modeling
MaskSDM with Shapley values to improve flexibility, robustness, and explainability in species distribution modeling
Robin Zbinden
Nina Van Tiel
Gencer Sumbul
Chiara Vanalli
B. Kellenberger
D. Tuia
343
5
0
17 Mar 2025
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI
Jiaxin Xu
Hung Chau
Angela Burden
TDI
465
2
0
18 Feb 2025
Suboptimal Shapley Value Explanations
Suboptimal Shapley Value Explanations
Xiaolei Lu
FAtt
420
0
0
17 Feb 2025
Toward Neurosymbolic Program Comprehension
Toward Neurosymbolic Program ComprehensionIEEE International Conference on Program Comprehension (ICPC), 2025
Alejandro Velasco
Aya Garryyeva
David Nader-Palacio
Antonio Mastropaolo
Denys Poshyvanyk
355
0
0
03 Feb 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Numair Sani
Daniel Malinsky
I. Shpitser
CML
903
17
0
10 Jan 2025
Feature Selection for Network Intrusion DetectionKnowledge Discovery and Data Mining (KDD), 2024
Charles Westphal
Stephen Hailes
Mirco Musolesi
AAML
341
12
0
18 Nov 2024
BayesNAM: Leveraging Inconsistency for Reliable Explanations
BayesNAM: Leveraging Inconsistency for Reliable Explanations
Hoki Kim
Jinseong Park
Yujin Choi
Seungyun Lee
Jaewook Lee
BDL
198
1
0
10 Nov 2024
DNAMite: Interpretable Calibrated Survival Analysis with Discretized
  Additive Models
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models
Mike Van Ness
Billy Block
Madeleine Udell
233
1
0
08 Nov 2024
Causal Responsibility Attribution for Human-AI Collaboration
Causal Responsibility Attribution for Human-AI Collaboration
Yahang Qi
Bernhard Schölkopf
Zhijing Jin
195
2
0
05 Nov 2024
Less Discriminatory Alternative and Interpretable XGBoost Framework for
  Binary Classification
Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification
Andrew Pangia
Agus Sudjianto
Aijun Zhang
Taufiquar Khan
FaML
228
5
0
24 Oct 2024
Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values
Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values
Yurong Liu
R. Teal Witter
Flip Korn
Tarfah Alrashed
Dimitris Paparas
Christopher Musco
Juliana Freire
FAtt
521
2
0
10 Oct 2024
shapiq: Shapley Interactions for Machine Learning
shapiq: Shapley Interactions for Machine LearningNeural Information Processing Systems (NeurIPS), 2024
Maximilian Muschalik
Hubert Baniecki
Fabian Fumagalli
Patrick Kolpaczki
Barbara Hammer
Eyke Hüllermeier
TDI
275
43
0
02 Oct 2024
Random Forest Regression Feature Importance for Climate Impact Pathway
  Detection
Random Forest Regression Feature Importance for Climate Impact Pathway Detection
Meredith G. L. Brown
Matt Peterson
Irina Tezaur
Kara Peterson
Diana Bull
153
4
0
25 Sep 2024
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in
  Delayed Label Environments: An Empirical Study on Tabular Data Streaming for
  Fraud Detection
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection
Kodjo Mawuena Amekoe
M. Lebbah
Gregoire Jaffre
Hanene Azzag
Zaineb Chelly Dagdia
226
1
0
16 Sep 2024
Shapley Marginal Surplus for Strong Models
Shapley Marginal Surplus for Strong Models
Daniel de Marchi
Michael Kosorok
Scott de Marchi
TDIFAtt
128
0
0
16 Aug 2024
The Contribution of XAI for the Safe Development and Certification of
  AI: An Expert-Based Analysis
The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis
Benjamin Frész
Vincent Philipp Goebels
Safa Omri
Danilo Brajovic
Andreas Aichele
Janika Kutz
Jens Neuhüttler
Marco F. Huber
324
2
0
22 Jul 2024
Evaluating the Role of Data Enrichment Approaches Towards Rare Event
  Analysis in Manufacturing
Evaluating the Role of Data Enrichment Approaches Towards Rare Event Analysis in Manufacturing
Chathurangi Shyalika
Ruwan Wickramarachchi
Fadi El Kalach
R. Harik
Amit Sheth
229
11
0
01 Jul 2024
Selecting Interpretability Techniques for Healthcare Machine Learning
  models
Selecting Interpretability Techniques for Healthcare Machine Learning models
Daniel Sierra-Botero
Ana Molina-Taborda
Mario S. Valdés-Tresanco
Alejandro Hernández-Arango
Leonardo Espinosa-Leal
Alexander Karpenko
O. Lopez-Acevedo
264
1
0
14 Jun 2024
Unifying Interpretability and Explainability for Alzheimer's Disease
  Progression Prediction
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction
Raja Farrukh Ali
Stephanie Milani
John Woods
Emmanuel Adenij
Ayesha Farooq
Clayton Mansel
Jeffrey Burns
William Hsu
235
3
0
11 Jun 2024
Logic-Based Explainability: Past, Present & Future
Logic-Based Explainability: Past, Present & Future
Joao Marques-Silva
333
3
0
04 Jun 2024
Partial Information Decomposition for Data Interpretability and Feature Selection
Partial Information Decomposition for Data Interpretability and Feature SelectionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Charles Westphal
Stephen Hailes
Mirco Musolesi
438
1
0
29 May 2024
KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley
  Interactions
KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley InteractionsInternational Conference on Machine Learning (ICML), 2024
Fabian Fumagalli
Maximilian Muschalik
Patrick Kolpaczki
Eyke Hüllermeier
Barbara Hammer
391
20
0
17 May 2024
Neural Dynamic Data Valuation: A Stochastic Optimal Control Approach
Neural Dynamic Data Valuation: A Stochastic Optimal Control Approach
Zhangyong Liang
Ji Zhang
Ji Zhang
Pengfei Zhang
Zhao Li
TDI
498
1
0
30 Apr 2024
Interpretable Prediction and Feature Selection for Survival Analysis
Interpretable Prediction and Feature Selection for Survival Analysis
Mike Van Ness
Madeleine Udell
309
3
0
23 Apr 2024
Error Analysis of Shapley Value-Based Model Explanations: An Informative
  Perspective
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective
Ningsheng Zhao
Jia Yuan Yu
Krzysztof Dzieciolowski
Trang Bui
TDIFAtt
376
2
0
21 Apr 2024
How should AI decisions be explained? Requirements for Explanations from
  the Perspective of European Law
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law
Benjamin Frész
Elena Dubovitskaya
Danilo Brajovic
Marco F. Huber
Christian Horz
350
17
0
19 Apr 2024
CAGE: Causality-Aware Shapley Value for Global Explanations
CAGE: Causality-Aware Shapley Value for Global Explanations
Nils Ole Breuer
Andreas Sauter
Majid Mohammadi
Erman Acar
FAtt
335
3
0
17 Apr 2024
Energy-Based Model for Accurate Estimation of Shapley Values in Feature Attribution
Energy-Based Model for Accurate Estimation of Shapley Values in Feature AttributionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Cheng Lu
Jiusun Zeng
Yu Xia
Jinhui Cai
Shihua Luo
FAttTDI
86
0
0
01 Apr 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
867
4
0
24 Mar 2024
DTOR: Decision Tree Outlier Regressor to explain anomalies
DTOR: Decision Tree Outlier Regressor to explain anomalies
Riccardo Crupi
D. Regoli
Alessandro Sabatino
Immacolata Marano
Massimiliano Brinis
Luca Albertazzi
Andrea Cirillo
A. Cosentini
473
3
0
16 Mar 2024
1234
Next
Page 1 of 4