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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
Sai Li
FAtt
TDI
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Papers citing
"L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data"
50 / 133 papers shown
A Rigorous Study Of The Deep Taylor Decomposition
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Trade-off Between Efficiency and Consistency for Removal-based Explanations
Neural Information Processing Systems (NeurIPS), 2022
Yifan Zhang
Haowei He
Zhiyuan Tan
Yang Yuan
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383
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31 Oct 2022
Interpretable Geometric Deep Learning via Learnable Randomness Injection
International Conference on Learning Representations (ICLR), 2022
Siqi Miao
Yunan Luo
Miaoyuan Liu
Pan Li
237
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30 Oct 2022
Generating Hierarchical Explanations on Text Classification Without Connecting Rules
Yiming Ju
Yuanzhe Zhang
Kang Liu
Jun Zhao
FAtt
137
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24 Oct 2022
On the Explainability of Natural Language Processing Deep Models
ACM Computing Surveys (ACM CSUR), 2022
Julia El Zini
M. Awad
244
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13 Oct 2022
Discovering Transferable Forensic Features for CNN-generated Images Detection
European Conference on Computer Vision (ECCV), 2022
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Alexander Binder
Ngai-Man Cheung
AAML
240
35
0
24 Aug 2022
Algorithms to estimate Shapley value feature attributions
Nature Machine Intelligence (Nat. Mach. Intell.), 2022
Hugh Chen
Ian Covert
Scott M. Lundberg
Su-In Lee
TDI
FAtt
278
345
0
15 Jul 2022
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing
Jacopo Teneggi
Beepul Bharti
Yaniv Romano
Jeremias Sulam
FAtt
481
9
0
14 Jul 2022
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
Nature Machine Intelligence (Nat. Mach. Intell.), 2022
Dylan Slack
Satyapriya Krishna
Himabindu Lakkaraju
Sameer Singh
347
114
0
08 Jul 2022
Fidelity of Ensemble Aggregation for Saliency Map Explanations using Bayesian Optimization Techniques
Yannik Mahlau
Christian Nolde
FAtt
316
1
0
04 Jul 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection
International Conference on Machine Learning (ICML), 2022
Guanchu Wang
Yu-Neng Chuang
Mengnan Du
Fan Yang
Quan-Gen Zhou
Pushkar Tripathi
Xuanting Cai
Helen Zhou
FAtt
234
25
0
17 Jun 2022
Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models
Kaiji Lu
Anupam Datta
202
0
0
01 Jun 2022
A Unified Study of Machine Learning Explanation Evaluation Metrics
Yipei Wang
Xiaoqian Wang
XAI
184
8
0
27 Mar 2022
Concept-based Explanations for Out-Of-Distribution Detectors
International Conference on Machine Learning (ICML), 2022
Jihye Choi
Jayaram Raghuram
Ryan Feng
Jiefeng Chen
S. Jha
Atul Prakash
OODD
204
17
0
04 Mar 2022
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons
Information Sciences (Inf. Sci.), 2022
Haibo Jin
Ruoxi Chen
Haibin Zheng
Jinyin Chen
Yao Cheng
Yue Yu
Xianglong Liu
AAML
228
6
0
12 Feb 2022
The Shapley Value in Machine Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Benedek Rozemberczki
Lauren Watson
Péter Bayer
Hao-Tsung Yang
Oliver Kiss
Sebastian Nilsson
Rik Sarkar
TDI
FAtt
330
291
0
11 Feb 2022
Rethinking Explainability as a Dialogue: A Practitioner's Perspective
Himabindu Lakkaraju
Dylan Slack
Yuxin Chen
Chenhao Tan
Sameer Singh
LRM
233
72
0
03 Feb 2022
A Consistent and Efficient Evaluation Strategy for Attribution Methods
International Conference on Machine Learning (ICML), 2022
Yao Rong
Tobias Leemann
V. Borisov
Gjergji Kasneci
Enkelejda Kasneci
FAtt
308
123
0
01 Feb 2022
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
Neural Information Processing Systems (NeurIPS), 2022
Shichang Zhang
Yozen Liu
Neil Shah
Luke Huan
FAtt
360
64
0
28 Jan 2022
Rethinking Attention-Model Explainability through Faithfulness Violation Test
International Conference on Machine Learning (ICML), 2022
Zichen Liu
Haoliang Li
Yangyang Guo
Chen Kong
Jing Li
Shiqi Wang
FAtt
320
56
0
28 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
ACM Computing Surveys (ACM CSUR), 2022
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELM
XAI
616
568
0
20 Jan 2022
Multi-objective Explanations of GNN Predictions
Yifei Liu
Chao Chen
Yazheng Liu
Xi Zhang
Sihong Xie
198
18
0
29 Nov 2021
Self-Interpretable Model with TransformationEquivariant Interpretation
Yipei Wang
Xiaoqian Wang
217
28
0
09 Nov 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Mingjie Li
Shaobo Wang
Quanshi Zhang
260
11
0
05 Nov 2021
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning
Yongchan Kwon
James Zou
TDI
344
173
0
26 Oct 2021
Understanding Interlocking Dynamics of Cooperative Rationalization
Mo Yu
Yang Zhang
Shiyu Chang
Tommi Jaakkola
284
47
0
26 Oct 2021
Text Counterfactuals via Latent Optimization and Shapley-Guided Search
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Quintin Pope
Xiaoli Z. Fern
162
24
0
22 Oct 2021
Logic Traps in Evaluating Attribution Scores
Yiming Ju
Yuanzhe Zhang
Zhao Yang
Zhongtao Jiang
Kang Liu
Jun Zhao
XAI
FAtt
278
23
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
372
23
0
03 Sep 2021
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare
IEEE Transactions on Emerging Topics in Computing (TETC), 2021
Yan Jia
John McDermid
T. Lawton
Ibrahim Habli
257
66
0
01 Sep 2021
Interpreting Attributions and Interactions of Adversarial Attacks
Xin Eric Wang
Shuyu Lin
Hao Zhang
Yufei Zhu
Quanshi Zhang
AAML
FAtt
156
19
0
16 Aug 2021
Surrogate Model-Based Explainability Methods for Point Cloud NNs
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Hanxiao Tan
Helena Kotthaus
3DPC
217
35
0
28 Jul 2021
FastSHAP: Real-Time Shapley Value Estimation
International Conference on Learning Representations (ICLR), 2021
Hao Zhang
Mukund Sudarshan
Ian Covert
Su-In Lee
Rajesh Ranganath
TDI
FAtt
422
166
0
15 Jul 2021
groupShapley: Efficient prediction explanation with Shapley values for feature groups
Martin Jullum
Annabelle Redelmeier
K. Aas
TDI
FAtt
198
28
0
23 Jun 2021
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning
International Conference on Learning Representations (ICLR), 2021
Yatao Bian
Yu Rong
Qifeng Bai
Jiaxiang Wu
Andreas Krause
Junzhou Huang
444
17
0
05 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Knowledge Discovery and Data Mining (KDD), 2021
Jiahui Li
Kun Kuang
Baoxiang Wang
Furui Liu
Long Chen
Leilei Gan
Jun Xiao
OffRL
320
79
0
01 Jun 2021
Explaining a Series of Models by Propagating Shapley Values
Nature Communications (Nat Commun), 2021
Hugh Chen
Scott M. Lundberg
Su-In Lee
TDI
FAtt
357
199
0
30 Apr 2021
Instance-wise Causal Feature Selection for Model Interpretation
Pranoy Panda
Sai Srinivas Kancheti
V. Balasubramanian
CML
315
18
0
26 Apr 2021
Fast Hierarchical Games for Image Explanations
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Jacopo Teneggi
Alexandre Luster
Jeremias Sulam
FAtt
199
24
0
13 Apr 2021
Shapley Explanation Networks
International Conference on Learning Representations (ICLR), 2021
Rui Wang
Xiaoqian Wang
David I. Inouye
TDI
FAtt
303
57
0
06 Apr 2021
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers
IEEE International Conference on Computer Vision (ICCV), 2021
Hila Chefer
Shir Gur
Lior Wolf
ViT
358
408
0
29 Mar 2021
Efficient Explanations from Empirical Explainers
BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2021
Robert Schwarzenberg
Nils Feldhus
Sebastian Möller
FAtt
299
9
0
29 Mar 2021
On Explainability of Graph Neural Networks via Subgraph Explorations
International Conference on Machine Learning (ICML), 2021
Hao Yuan
Haiyang Yu
Jie Wang
Kang Li
Shuiwang Ji
FAtt
285
471
0
09 Feb 2021
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2021
Xinyang Zhang
Ren Pang
S. Ji
Fenglong Ma
Ting Wang
HAI
AI4CE
127
6
0
22 Jan 2021
The Shapley Value of Classifiers in Ensemble Games
International Conference on Information and Knowledge Management (CIKM), 2021
Benedek Rozemberczki
Rik Sarkar
FAtt
FedML
TDI
311
38
0
06 Jan 2021
Transformer Interpretability Beyond Attention Visualization
Computer Vision and Pattern Recognition (CVPR), 2020
Hila Chefer
Shir Gur
Lior Wolf
421
864
0
17 Dec 2020
On Shapley Credit Allocation for Interpretability
Debraj Basu
FAtt
108
3
0
10 Dec 2020
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Ian Covert
Su-In Lee
FAtt
471
218
0
02 Dec 2020
Why model why? Assessing the strengths and limitations of LIME
Jurgen Dieber
S. Kirrane
FAtt
271
132
0
30 Nov 2020
Explaining by Removing: A Unified Framework for Model Explanation
Journal of machine learning research (JMLR), 2020
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
384
307
0
21 Nov 2020
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