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Faith-Shap: The Faithful Shapley Interaction Index
2 March 2022
Che-Ping Tsai
Chih-Kuan Yeh
Pradeep Ravikumar
TDI
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Papers citing
"Faith-Shap: The Faithful Shapley Interaction Index"
34 / 34 papers shown
Title
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs
Landon Butler
Abhineet Agarwal
Justin Singh Kang
Yigit Efe Erginbas
Bin Yu
Kannan Ramchandran
141
0
0
23 May 2025
SPEX: Scaling Feature Interaction Explanations for LLMs
Justin Singh Kang
Landon Butler
Abhineet Agarwal
Yigit Efe Erginbas
Ramtin Pedarsani
Kannan Ramchandran
Bin Yu
VLM
LRM
162
2
0
20 Feb 2025
Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection
Maximilian Spliethover
Tim Knebler
Fabian Fumagalli
Maximilian Muschalik
Barbara Hammer
Eyke Hüllermeier
Henning Wachsmuth
188
1
0
10 Feb 2025
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
Fabian Fumagalli
Maximilian Muschalik
Eyke Hüllermeier
Barbara Hammer
J. Herbinger
FAtt
199
4
0
22 Dec 2024
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey
Yunkai Dang
Kaichen Huang
Jiahao Huo
Yibo Yan
Shijie Huang
...
Kun Wang
Yong Liu
Jing Shao
Hui Xiong
Xuming Hu
LRM
170
22
0
03 Dec 2024
A Bayesian explanation of machine learning models based on modes and functional ANOVA
Quan Long
29
1
0
05 Nov 2024
Why pre-training is beneficial for downstream classification tasks?
Xin Jiang
Xu Cheng
Zechao Li
70
0
0
11 Oct 2024
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
68
59
0
06 Oct 2024
shapiq: Shapley Interactions for Machine Learning
Maximilian Muschalik
Hubert Baniecki
Fabian Fumagalli
Patrick Kolpaczki
Barbara Hammer
Eyke Hüllermeier
TDI
66
13
0
02 Oct 2024
META-ANOVA: Screening interactions for interpretable machine learning
Daniel A. Serino
Marc L. Klasky
Chanmoo Park
Dongha Kim
Yongdai Kim
72
0
0
02 Aug 2024
nn2poly: An R Package for Converting Neural Networks into Interpretable Polynomials
Pablo Morala
Jenny Alexandra Cifuentes
R. Lillo
Iñaki Ucar
121
0
0
03 Jun 2024
Explaining Graph Neural Networks via Structure-aware Interaction Index
Ngoc H. Bui
Hieu Trung Nguyen
Viet Anh Nguyen
Rex Ying
FAtt
76
4
0
23 May 2024
KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley Interactions
Fabian Fumagalli
Maximilian Muschalik
Patrick Kolpaczki
Eyke Hüllermeier
Barbara Hammer
103
7
0
17 May 2024
Using Shapley interactions to understand how models use structure
Divyansh Singhvi
Andrej Erkelens
Raghav Jain
Diganta Misra
Isabel Papadimitriou
Naomi Saphra
52
0
0
19 Mar 2024
Interpretable Machine Learning for Survival Analysis
Sophie Hanna Langbein
Mateusz Krzyzinski
Mikolaj Spytek
Hubert Baniecki
P. Biecek
Marvin N. Wright
85
2
0
15 Mar 2024
Succinct Interaction-Aware Explanations
Sascha Xu
Joscha Cuppers
Jilles Vreeken
FAtt
75
0
0
08 Feb 2024
Learning to Understand: Identifying Interactions via the Möbius Transform
Justin Singh Kang
Yigit Efe Erginbas
Landon Butler
Ramtin Pedarsani
Kannan Ramchandran
92
4
0
04 Feb 2024
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
Maximilian Muschalik
Fabian Fumagalli
Barbara Hammer
Eyke Hüllermeier
TDI
107
18
0
22 Jan 2024
Sample based Explanations via Generalized Representers
Che-Ping Tsai
Chih-Kuan Yeh
Pradeep Ravikumar
FAtt
93
9
0
27 Oct 2023
Bayesian Regression Markets
Thomas Falconer
J. Kazempour
Pierre Pinson
145
3
0
23 Oct 2023
Explaining Interactions Between Text Spans
Sagnik Ray Choudhury
Pepa Atanasova
Isabelle Augenstein
56
2
0
20 Oct 2023
Conditional expectation network for SHAP
Ronald Richman
M. Wüthrich
FAtt
BDL
47
3
0
20 Jul 2023
Four Axiomatic Characterizations of the Integrated Gradients Attribution Method
Daniel Lundstrom
Meisam Razaviyayn
FAtt
38
3
0
23 Jun 2023
Distributing Synergy Functions: Unifying Game-Theoretic Interaction Methods for Machine-Learning Explainability
Daniel Lundstrom
Meisam Razaviyayn
FAtt
57
1
0
04 May 2023
Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models
Qihan Ren
Maximilian Brunner
Wen Shen
S. Mintchev
91
12
0
03 May 2023
Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs
Mingjie Li
Quanshi Zhang
69
11
0
26 Apr 2023
SHAP-IQ: Unified Approximation of any-order Shapley Interactions
Fabian Fumagalli
Maximilian Muschalik
Patrick Kolpaczki
Eyke Hüllermeier
Barbara Hammer
127
30
0
02 Mar 2023
Does a Neural Network Really Encode Symbolic Concepts?
Mingjie Li
Quanshi Zhang
98
31
0
25 Feb 2023
Approximating the Shapley Value without Marginal Contributions
Patrick Kolpaczki
Viktor Bengs
Maximilian Muschalik
Eyke Hüllermeier
FAtt
TDI
156
26
0
01 Feb 2023
Training Data Influence Analysis and Estimation: A Survey
Zayd Hammoudeh
Daniel Lowd
TDI
117
101
0
09 Dec 2022
From Shapley Values to Generalized Additive Models and back
Sebastian Bordt
U. V. Luxburg
FAtt
TDI
168
43
0
08 Sep 2022
Unifying local and global model explanations by functional decomposition of low dimensional structures
M. Hiabu
Josephine T. Meyer
Marvin N. Wright
FAtt
82
21
0
12 Aug 2022
Defining and Quantifying the Emergence of Sparse Concepts in DNNs
Jie Ren
Mingjie Li
Qirui Chen
Huiqi Deng
Quanshi Zhang
120
33
0
11 Nov 2021
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.3K
17,197
0
16 Feb 2016
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