ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.00870
  4. Cited By
Faith-Shap: The Faithful Shapley Interaction Index

Faith-Shap: The Faithful Shapley Interaction Index

2 March 2022
Che-Ping Tsai
Chih-Kuan Yeh
Pradeep Ravikumar
    TDI
ArXivPDFHTML

Papers citing "Faith-Shap: The Faithful Shapley Interaction Index"

20 / 20 papers shown
Title
SPEX: Scaling Feature Interaction Explanations for LLMs
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
137
2
0
20 Feb 2025
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
Fabian Fumagalli
Maximilian Muschalik
Eyke Hüllermeier
Barbara Hammer
J. Herbinger
FAtt
185
4
0
22 Dec 2024
Sampling Permutations for Shapley Value Estimation
Sampling Permutations for Shapley Value Estimation
Rory Mitchell
Joshua N. Cooper
E. Frank
G. Holmes
59
120
0
25 Apr 2021
Connecting Attributions and QA Model Behavior on Realistic
  Counterfactuals
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals
Xi Ye
Rohan Nair
Greg Durrett
46
24
0
09 Apr 2021
Improving KernelSHAP: Practical Shapley Value Estimation via Linear
  Regression
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression
Ian Covert
Su-In Lee
FAtt
56
170
0
02 Dec 2020
True to the Model or True to the Data?
True to the Model or True to the Data?
Hugh Chen
Joseph D. Janizek
Scott M. Lundberg
Su-In Lee
TDI
FAtt
147
166
0
29 Jun 2020
How does this interaction affect me? Interpretable attribution for
  feature interactions
How does this interaction affect me? Interpretable attribution for feature interactions
Michael Tsang
Sirisha Rambhatla
Yan Liu
FAtt
65
87
0
19 Jun 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep
  Networks
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks
Joseph D. Janizek
Pascal Sturmfels
Su-In Lee
FAtt
76
148
0
10 Feb 2020
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan O. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
228
305
0
17 Oct 2019
The many Shapley values for model explanation
The many Shapley values for model explanation
Mukund Sundararajan
A. Najmi
TDI
FAtt
62
634
0
22 Aug 2019
Data Shapley: Equitable Valuation of Data for Machine Learning
Data Shapley: Equitable Valuation of Data for Machine Learning
Amirata Ghorbani
James Zou
TDI
FedML
76
785
0
05 Apr 2019
Towards Efficient Data Valuation Based on the Shapley Value
Towards Efficient Data Valuation Based on the Shapley Value
R. Jia
David Dao
Wei Ping
F. Hubis
Nicholas Hynes
Nezihe Merve Gürel
Yue Liu
Ce Zhang
D. Song
C. Spanos
TDI
70
419
0
27 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.8K
94,891
0
11 Oct 2018
Model Agnostic Supervised Local Explanations
Model Agnostic Supervised Local Explanations
Gregory Plumb
Denali Molitor
Ameet Talwalkar
FAtt
LRM
MILM
107
198
0
09 Jul 2018
Hierarchical interpretations for neural network predictions
Hierarchical interpretations for neural network predictions
Chandan Singh
W. James Murdoch
Bin Yu
68
146
0
14 Jun 2018
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
21,939
0
22 May 2017
Detecting Statistical Interactions from Neural Network Weights
Detecting Statistical Interactions from Neural Network Weights
Michael Tsang
Dehua Cheng
Yan Liu
58
192
0
14 May 2017
On Shapley value for measuring importance of dependent inputs
On Shapley value for measuring importance of dependent inputs
Art B. Owen
Clémentine Prieur
FAtt
TDI
54
151
0
06 Oct 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
802
38,961
0
09 Mar 2016
"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
1.2K
16,990
0
16 Feb 2016
1