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1808.02610
Cited By
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data
8 August 2018
Jianbo Chen
Le Song
Martin J. Wainwright
Michael I. Jordan
FAtt
TDI
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Papers citing
"L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data"
50 / 115 papers shown
Title
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Discovering Transferable Forensic Features for CNN-generated Images Detection
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SHAP-XRT: The Shapley Value Meets Conditional Independence Testing
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Beepul Bharti
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TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
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Satyapriya Krishna
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Sameer Singh
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Fidelity of Ensemble Aggregation for Saliency Map Explanations using Bayesian Optimization Techniques
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Christian Nolde
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Accelerating Shapley Explanation via Contributive Cooperator Selection
Guanchu Wang
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Xuanting Cai
Xia Hu
FAtt
25
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17 Jun 2022
Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models
Kaiji Lu
Anupam Datta
31
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A Unified Study of Machine Learning Explanation Evaluation Metrics
Yipei Wang
Xiaoqian Wang
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26
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27 Mar 2022
Concept-based Explanations for Out-Of-Distribution Detectors
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Jayaram Raghuram
Ryan Feng
Jiefeng Chen
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Atul Prakash
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Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons
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Ruoxi Chen
Haibin Zheng
Jinyin Chen
Yao Cheng
Yue Yu
Xianglong Liu
AAML
33
6
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12 Feb 2022
The Shapley Value in Machine Learning
Benedek Rozemberczki
Lauren Watson
Péter Bayer
Hao-Tsung Yang
Oliver Kiss
Sebastian Nilsson
Rik Sarkar
TDI
FAtt
32
205
0
11 Feb 2022
Rethinking Explainability as a Dialogue: A Practitioner's Perspective
Himabindu Lakkaraju
Dylan Slack
Yuxin Chen
Chenhao Tan
Sameer Singh
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64
0
03 Feb 2022
A Consistent and Efficient Evaluation Strategy for Attribution Methods
Yao Rong
Tobias Leemann
V. Borisov
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Enkelejda Kasneci
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GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
Shichang Zhang
Yozen Liu
Neil Shah
Yizhou Sun
FAtt
38
45
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28 Jan 2022
Rethinking Attention-Model Explainability through Faithfulness Violation Test
Yue Liu
Haoliang Li
Yangyang Guo
Chen Kong
Jing Li
Shiqi Wang
FAtt
121
43
0
28 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELM
XAI
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399
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20 Jan 2022
Multi-objective Explanations of GNN Predictions
Yifei Liu
Chao Chen
Yazheng Liu
Xi Zhang
Sihong Xie
24
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29 Nov 2021
Self-Interpretable Model with TransformationEquivariant Interpretation
Yipei Wang
Xiaoqian Wang
43
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Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Mingjie Li
Shaobo Wang
Quanshi Zhang
51
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Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning
Yongchan Kwon
James Zou
TDI
44
122
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26 Oct 2021
Understanding Interlocking Dynamics of Cooperative Rationalization
Mo Yu
Yang Zhang
Shiyu Chang
Tommi Jaakkola
32
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26 Oct 2021
Text Counterfactuals via Latent Optimization and Shapley-Guided Search
Quintin Pope
Xiaoli Z. Fern
17
20
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Logic Traps in Evaluating Attribution Scores
Yiming Ju
Yuanzhe Zhang
Zhao Yang
Zhongtao Jiang
Kang Liu
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XAI
FAtt
38
18
0
12 Sep 2021
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation
Jiahui Li
Kun Kuang
Lin Li
Long Chen
Songyang Zhang
Jian Shao
Jun Xiao
FAtt
20
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03 Sep 2021
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare
Yan Jia
John McDermid
T. Lawton
Ibrahim Habli
47
48
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01 Sep 2021
Interpreting Attributions and Interactions of Adversarial Attacks
Xin Eric Wang
Shuyu Lin
Hao Zhang
Yufei Zhu
Quanshi Zhang
AAML
FAtt
17
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0
16 Aug 2021
Surrogate Model-Based Explainability Methods for Point Cloud NNs
Hanxiao Tan
Helena Kotthaus
3DPC
31
26
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28 Jul 2021
FastSHAP: Real-Time Shapley Value Estimation
N. Jethani
Mukund Sudarshan
Ian Covert
Su-In Lee
Rajesh Ranganath
TDI
FAtt
67
127
0
15 Jul 2021
groupShapley: Efficient prediction explanation with Shapley values for feature groups
Martin Jullum
Annabelle Redelmeier
K. Aas
TDI
FAtt
25
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23 Jun 2021
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning
Yatao Bian
Yu Rong
Tingyang Xu
Jiaxiang Wu
Andreas Krause
Junzhou Huang
42
16
0
05 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Jiahui Li
Kun Kuang
Baoxiang Wang
Furui Liu
Long Chen
Fei Wu
Jun Xiao
OffRL
27
60
0
01 Jun 2021
Explaining a Series of Models by Propagating Shapley Values
Hugh Chen
Scott M. Lundberg
Su-In Lee
TDI
FAtt
29
123
0
30 Apr 2021
Instance-wise Causal Feature Selection for Model Interpretation
Pranoy Panda
Sai Srinivas Kancheti
V. Balasubramanian
CML
55
16
0
26 Apr 2021
Fast Hierarchical Games for Image Explanations
Jacopo Teneggi
Alexandre Luster
Jeremias Sulam
FAtt
39
19
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13 Apr 2021
Shapley Explanation Networks
Rui Wang
Xiaoqian Wang
David I. Inouye
TDI
FAtt
32
44
0
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Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers
Hila Chefer
Shir Gur
Lior Wolf
ViT
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306
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Efficient Explanations from Empirical Explainers
Robert Schwarzenberg
Nils Feldhus
Sebastian Möller
FAtt
37
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On Explainability of Graph Neural Networks via Subgraph Explorations
Hao Yuan
Haiyang Yu
Jie Wang
Kang Li
Shuiwang Ji
FAtt
37
380
0
09 Feb 2021
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks
Xinyang Zhang
Ren Pang
S. Ji
Fenglong Ma
Ting Wang
HAI
AI4CE
19
5
0
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The Shapley Value of Classifiers in Ensemble Games
Benedek Rozemberczki
Rik Sarkar
FAtt
FedML
TDI
64
33
0
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Transformer Interpretability Beyond Attention Visualization
Hila Chefer
Shir Gur
Lior Wolf
45
645
0
17 Dec 2020
On Shapley Credit Allocation for Interpretability
Debraj Basu
FAtt
14
2
0
10 Dec 2020
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression
Ian Covert
Su-In Lee
FAtt
12
161
0
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Why model why? Assessing the strengths and limitations of LIME
Jurgen Dieber
S. Kirrane
FAtt
26
97
0
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Explaining by Removing: A Unified Framework for Model Explanation
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
53
243
0
21 Nov 2020
Feature Removal Is a Unifying Principle for Model Explanation Methods
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
33
33
0
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Model-Agnostic Explanations using Minimal Forcing Subsets
Xing Han
Joydeep Ghosh
AAML
6
4
0
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Interpreting Multivariate Shapley Interactions in DNNs
Hao Zhang
Yichen Xie
Longjie Zheng
Die Zhang
Quanshi Zhang
TDI
FAtt
17
7
0
10 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability
Xin Eric Wang
Jie Ren
Shuyu Lin
Xiangming Zhu
Yisen Wang
Quanshi Zhang
AAML
34
94
0
08 Oct 2020
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