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Explaining Explanations: Axiomatic Feature Interactions for Deep
  Networks
v1v2v3 (latest)

Explaining Explanations: Axiomatic Feature Interactions for Deep Networks

Journal of machine learning research (JMLR), 2020
10 February 2020
Joseph D. Janizek
Pascal Sturmfels
Su-In Lee
    FAtt
ArXiv (abs)PDFHTMLGithub (187★)

Papers citing "Explaining Explanations: Axiomatic Feature Interactions for Deep Networks"

50 / 64 papers shown
Why is "Chicago" Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues
Why is "Chicago" Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues
Jiaming Qu
Mengtian Guo
Yue Wang
166
0
0
17 Nov 2025
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
159
0
0
31 Oct 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
236
1
0
11 Aug 2025
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
Hubert Baniecki
Maximilian Muschalik
Fabian Fumagalli
Barbara Hammer
Eyke Hüllermeier
P. Biecek
FAtt
328
1
0
07 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
372
0
0
16 Jul 2025
Error-controlled non-additive interaction discovery in machine learning models
Error-controlled non-additive interaction discovery in machine learning modelsNature Machine Intelligence (Nat. Mach. Intell.), 2024
Winston Chen
Yifan Jiang
William Stafford Noble
Yang Young Lu
406
5
0
17 Feb 2025
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game TheoryInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Fabian Fumagalli
Maximilian Muschalik
Eyke Hüllermeier
Barbara Hammer
J. Herbinger
FAtt
607
15
0
22 Dec 2024
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAIComputer Vision and Pattern Recognition (CVPR), 2024
Won Jun Kim
Hyungjin Chung
Jaemin Kim
Sangmin Lee
Byeongsu Sim
Jong Chul Ye
DiffM
595
2
0
22 Nov 2024
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Yuan Zhang
Chun-Kai Fan
Junpeng Ma
Wenzhao Zheng
Tao Huang
...
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
Kurt Keutzer
Shanghang Zhang
VLM
631
0
0
06 Oct 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
394
20
0
17 May 2024
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
Jamie Duell
Monika Seisenberger
Hsuan Fu
Xiuyi Fan
BDLUQCV
636
2
0
27 Feb 2024
Multimodal Interpretable Data-Driven Models for Early Prediction of
  Antimicrobial Multidrug Resistance Using Multivariate Time-Series
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series
Sergio Martínez-Aguero
Antonio G. Marques
Inmaculada Mora-Jiménez
Joaquín Alvárez-Rodríguez
Cristina Soguero-Ruiz
243
0
0
09 Feb 2024
Explaining Predictive Uncertainty by Exposing Second-Order Effects
Explaining Predictive Uncertainty by Exposing Second-Order Effects
Florian Bley
Sebastian Lapuschkin
Wojciech Samek
G. Montavon
261
9
0
30 Jan 2024
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
SmoothHess: ReLU Network Feature Interactions via Stein's LemmaNeural Information Processing Systems (NeurIPS), 2023
Max Torop
A. Masoomi
Davin Hill
Kivanc Kose
Stratis Ioannidis
Jennifer Dy
366
7
0
01 Nov 2023
Explaining Interactions Between Text Spans
Explaining Interactions Between Text Spans
Sagnik Ray Choudhury
Pepa Atanasova
Isabelle Augenstein
229
4
0
20 Oct 2023
Notes on Applicability of Explainable AI Methods to Machine Learning
  Models Using Features Extracted by Persistent Homology
Notes on Applicability of Explainable AI Methods to Machine Learning Models Using Features Extracted by Persistent Homology
Naofumi Hama
302
0
0
15 Oct 2023
Towards Attributions of Input Variables in a Coalition
Towards Attributions of Input Variables in a Coalition
Xinhao Zheng
Huiqi Deng
Bo Fan
313
1
0
23 Sep 2023
Context-aware Adversarial Attack on Named Entity Recognition
Context-aware Adversarial Attack on Named Entity Recognition
Shuguang Chen
Leonardo Neves
Thamar Solorio
AAML
272
0
0
16 Sep 2023
Measuring, Interpreting, and Improving Fairness of Algorithms using
  Causal Inference and Randomized Experiments
Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments
James Enouen
Tianshu Sun
Yan Liu
FaML
315
0
0
04 Sep 2023
Structured Network Pruning by Measuring Filter-wise Interactions
Structured Network Pruning by Measuring Filter-wise Interactions
Wenting Tang
Xingxing Wei
Yue Liu
230
0
0
03 Jul 2023
Feature Interactions Reveal Linguistic Structure in Language Models
Feature Interactions Reveal Linguistic Structure in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jaap Jumelet
Willem H. Zuidema
FAtt
299
10
0
21 Jun 2023
NeuroX Library for Neuron Analysis of Deep NLP Models
NeuroX Library for Neuron Analysis of Deep NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Fahim Dalvi
Hassan Sajjad
Nadir Durrani
322
16
0
26 May 2023
Exploring the cloud of feature interaction scores in a Rashomon set
Exploring the cloud of feature interaction scores in a Rashomon setInternational Conference on Learning Representations (ICLR), 2023
Sichao Li
Rong Wang
Quanling Deng
Amanda S. Barnard
376
9
0
17 May 2023
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop
  Fact Verification
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification
Jiasheng Si
Yingjie Zhu
Deyu Zhou
AAML
411
5
0
16 May 2023
Distributing Synergy Functions: Unifying Game-Theoretic Interaction
  Methods for Machine-Learning Explainability
Distributing Synergy Functions: Unifying Game-Theoretic Interaction Methods for Machine-Learning Explainability
Daniel Lundstrom
Meisam Razaviyayn
FAtt
452
3
0
04 May 2023
How to address monotonicity for model risk management?
How to address monotonicity for model risk management?International Conference on Machine Learning (ICML), 2023
Dangxing Chen
Weicheng Ye
247
8
0
28 Apr 2023
Explanations of Black-Box Models based on Directional Feature
  Interactions
Explanations of Black-Box Models based on Directional Feature InteractionsInternational Conference on Learning Representations (ICLR), 2023
A. Masoomi
Davin Hill
Zhonghui Xu
C. Hersh
E. Silverman
P. Castaldi
Stratis Ioannidis
Jennifer Dy
FAtt
354
25
0
16 Apr 2023
Bayesian Neural Networks Avoid Encoding Complex and
  Perturbation-Sensitive Concepts
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive ConceptsInternational Conference on Machine Learning (ICML), 2023
Qihan Ren
Huiqi Deng
Yunuo Chen
Siyu Lou
Quanshi Zhang
BDLAAML
321
13
0
25 Feb 2023
Does a Neural Network Really Encode Symbolic Concepts?
Does a Neural Network Really Encode Symbolic Concepts?International Conference on Machine Learning (ICML), 2023
Mingjie Li
Quanshi Zhang
383
35
0
25 Feb 2023
Disentangled Explanations of Neural Network Predictions by Finding
  Relevant Subspaces
Disentangled Explanations of Neural Network Predictions by Finding Relevant SubspacesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Pattarawat Chormai
J. Herrmann
Klaus-Robert Muller
G. Montavon
FAtt
497
33
0
30 Dec 2022
Relational Local Explanations
Relational Local Explanations
V. Borisov
Gjergji Kasneci
FAtt
302
0
0
23 Dec 2022
Trade-off Between Efficiency and Consistency for Removal-based
  Explanations
Trade-off Between Efficiency and Consistency for Removal-based ExplanationsNeural Information Processing Systems (NeurIPS), 2022
Yifan Zhang
Haowei He
Zhiyuan Tan
Yang Yuan
FAtt
563
7
0
31 Oct 2022
Using Deep Learning to Find the Next Unicorn: A Practical Synthesis
Using Deep Learning to Find the Next Unicorn: A Practical Synthesis
Le-le Cao
Vilhelm von Ehrenheim
Sebastian Krakowski
Xiaoxue Li
Alexandra Lutz
SyDa
240
7
0
18 Oct 2022
Towards Faithful Model Explanation in NLP: A Survey
Towards Faithful Model Explanation in NLP: A SurveyComputational Linguistics (CL), 2022
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
XAI
663
189
0
22 Sep 2022
Sparse Interaction Additive Networks via Feature Interaction Detection
  and Sparse Selection
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse SelectionNeural Information Processing Systems (NeurIPS), 2022
James Enouen
Yan Liu
255
35
0
19 Sep 2022
Comparing Baseline Shapley and Integrated Gradients for Local
  Explanation: Some Additional Insights
Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights
Tianshu Feng
Zhipu Zhou
Tarun Joshi
V. Nair
FAtt
256
7
0
12 Aug 2022
Concept Embedding Analysis: A Review
Concept Embedding Analysis: A Review
Gesina Schwalbe
277
31
0
25 Mar 2022
Ask to Understand: Question Generation for Multi-hop Question Answering
Ask to Understand: Question Generation for Multi-hop Question AnsweringChina National Conference on Chinese Computational Linguistics (CCL), 2022
Jiawei Li
Mucheng Ren
Yang Gao
Yizhe Yang
221
4
0
17 Mar 2022
Faith-Shap: The Faithful Shapley Interaction Index
Faith-Shap: The Faithful Shapley Interaction IndexJournal of machine learning research (JMLR), 2022
Che-Ping Tsai
Chih-Kuan Yeh
Pradeep Ravikumar
TDI
359
78
0
02 Mar 2022
Learning from learning machines: a new generation of AI technology to
  meet the needs of science
Learning from learning machines: a new generation of AI technology to meet the needs of science
L. Pion-Tonachini
K. Bouchard
Héctor García Martín
S. Peisert
W. B. Holtz
...
Rick L. Stevens
Mark Anderson
Ken Kreutz-Delgado
Michael W. Mahoney
James B. Brown
258
9
0
27 Nov 2021
Discovering and Explaining the Representation Bottleneck of DNNs
Discovering and Explaining the Representation Bottleneck of DNNsInternational Conference on Learning Representations (ICLR), 2021
Huiqi Deng
Qihan Ren
Hao Zhang
Quanshi Zhang
465
73
0
11 Nov 2021
Defining and Quantifying the Emergence of Sparse Concepts in DNNs
Defining and Quantifying the Emergence of Sparse Concepts in DNNsComputer Vision and Pattern Recognition (CVPR), 2021
Jie Ren
Mingjie Li
Qirui Chen
Huiqi Deng
Quanshi Zhang
671
42
0
11 Nov 2021
Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature
  Semantics
Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics
Amirata Ghorbani
Dina Berenbaum
Maor Ivgi
Yuval Dafna
James Zou
FAtt
201
9
0
10 Nov 2021
Algorithm Fairness in AI for Medicine and Healthcare
Algorithm Fairness in AI for Medicine and Healthcare
Richard J. Chen
Tiffany Y. Chen
Jana Lipkova
Judy J. Wang
Drew F. K. Williamson
Ming Y. Lu
S. Sahai
Faisal Mahmood
FaML
327
54
0
01 Oct 2021
Interpreting Attributions and Interactions of Adversarial Attacks
Interpreting Attributions and Interactions of Adversarial Attacks
Xin Eric Wang
Shuyu Lin
Hao Zhang
Yufei Zhu
Quanshi Zhang
AAMLFAtt
233
20
0
16 Aug 2021
Fine-grained Interpretation and Causation Analysis in Deep NLP Models
Fine-grained Interpretation and Causation Analysis in Deep NLP ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Hassan Sajjad
Narine Kokhlikyan
Fahim Dalvi
Nadir Durrani
MILM
363
8
0
17 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A
  Systematic Survey of Surveys on Methods and Concepts
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and ConceptsData mining and knowledge discovery (DMKD), 2021
Gesina Schwalbe
Bettina Finzel
XAI
574
303
0
15 May 2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness
A Unified Game-Theoretic Interpretation of Adversarial Robustness
Jie Ren
Die Zhang
Yisen Wang
Lu Chen
Zhanpeng Zhou
...
Feng He
Xin Eric Wang
Meng Zhou
Jie Shi
Quanshi Zhang
AAML
366
28
0
12 Mar 2021
Relate and Predict: Structure-Aware Prediction with Jointly Optimized
  Neural DAG
Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG
Arshdeep Sekhon
Zhe Wang
Yanjun Qi
GNN
217
0
0
03 Mar 2021
Interpretable Artificial Intelligence through the Lens of Feature
  Interaction
Interpretable Artificial Intelligence through the Lens of Feature Interaction
Michael Tsang
James Enouen
Yan Liu
FAtt
258
9
0
01 Mar 2021
12
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