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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"
33 / 133 papers shown
Feature Removal Is a Unifying Principle for Model Explanation Methods
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
355
40
0
06 Nov 2020
Model-Agnostic Explanations using Minimal Forcing Subsets
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Xing Han
Joydeep Ghosh
AAML
203
4
0
01 Nov 2020
Interpreting Multivariate Shapley Interactions in DNNs
Hao Zhang
Yichen Xie
Longjie Zheng
Die Zhang
Quanshi Zhang
TDI
FAtt
506
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
393
106
0
08 Oct 2020
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
Neural Information Processing Systems (NeurIPS), 2020
Dylan Slack
Sophie Hilgard
Sameer Singh
Himabindu Lakkaraju
FAtt
567
202
0
11 Aug 2020
Efficient computation and analysis of distributional Shapley values
Yongchan Kwon
Manuel A. Rivas
James Zou
FAtt
TDI
336
70
0
02 Jul 2020
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
Jie Ren
Mingjie Li
Zexu Liu
Quanshi Zhang
CoGe
212
20
0
29 Jun 2020
Replication-Robust Payoff-Allocation for Machine Learning Data Markets
Dongge Han
Michael Wooldridge
A. Rogers
O. Ohrimenko
Sebastian Tschiatschek
325
7
0
25 Jun 2020
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions
Tom Yan
Christian Kroer
A. Peysakhovich
140
8
0
16 Jun 2020
Evaluating and Aggregating Feature-based Model Explanations
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Umang Bhatt
Adrian Weller
J. M. F. Moura
XAI
352
270
0
01 May 2020
Rigorous Explanation of Inference on Probabilistic Graphical Models
Yifei Liu
Chao Chen
Xi Zhang
Sihong Xie
TPM
FAtt
106
0
0
21 Apr 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Hanjie Chen
Guangtao Zheng
Yangfeng Ji
FAtt
262
106
0
04 Apr 2020
Understanding Global Feature Contributions With Additive Importance Measures
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
158
23
0
01 Apr 2020
Invariant Rationalization
International Conference on Machine Learning (ICML), 2020
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
415
221
0
22 Mar 2020
A Distributional Framework for Data Valuation
International Conference on Machine Learning (ICML), 2020
Amirata Ghorbani
Michael P. Kim
James Zou
TDI
124
146
0
27 Feb 2020
Neuron Shapley: Discovering the Responsible Neurons
Neural Information Processing Systems (NeurIPS), 2020
Amirata Ghorbani
James Zou
FAtt
TDI
256
137
0
23 Feb 2020
Self-explaining AI as an alternative to interpretable AI
Artificial General Intelligence (AGI), 2020
Daniel C. Elton
500
64
0
12 Feb 2020
DANCE: Enhancing saliency maps using decoys
International Conference on Machine Learning (ICML), 2020
Y. Lu
Wenbo Guo
Masashi Sugiyama
William Stafford Noble
AAML
275
14
0
03 Feb 2020
Towards a Unified Evaluation of Explanation Methods without Ground Truth
Hao Zhang
Jiayi Chen
Haotian Xue
Quanshi Zhang
XAI
204
9
0
20 Nov 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Mo Yu
Shiyu Chang
Yang Zhang
Tommi Jaakkola
349
154
0
29 Oct 2019
A Game Theoretic Approach to Class-wise Selective Rationalization
Neural Information Processing Systems (NeurIPS), 2019
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
176
64
0
28 Oct 2019
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Neural Information Processing Systems (NeurIPS), 2019
Chih-Kuan Yeh
Been Kim
Sercan O. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
567
347
0
17 Oct 2019
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks
Neural Computation (Neural Comput.), 2019
Kaixuan Zhang
Qinglong Wang
Xue Liu
C. Lee Giles
TDI
107
3
0
15 Oct 2019
Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2019
G. Yona
Amirata Ghorbani
James Zou
TDI
138
15
0
09 Oct 2019
The Explanation Game: Explaining Machine Learning Models Using Shapley Values
Luke Merrick
Ankur Taly
FAtt
TDI
153
32
0
17 Sep 2019
NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks
Isaac Ahern
Adam Noack
Luis Guzman-Nateras
Dejing Dou
Boyang Albert Li
Jun Huan
FAtt
194
42
0
10 Sep 2019
Deep neural network or dermatologist?
Kyle Young
Gareth Booth
B. Simpson
R. Dutton
Sally Shrapnel
MedIm
153
76
0
19 Aug 2019
ML-LOO: Detecting Adversarial Examples with Feature Attribution
AAAI Conference on Artificial Intelligence (AAAI), 2019
Puyudi Yang
Jianbo Chen
Cho-Jui Hsieh
Jane-ling Wang
Sai Li
AAML
173
112
0
08 Jun 2019
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations
Christian A. Scholbeck
Christoph Molnar
C. Heumann
J. Herbinger
Giuseppe Casalicchio
248
30
0
08 Apr 2019
Data Shapley: Equitable Valuation of Data for Machine Learning
Amirata Ghorbani
James Zou
TDI
FedML
516
968
0
05 Apr 2019
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
K. Aas
Martin Jullum
Anders Løland
FAtt
TDI
285
781
0
25 Mar 2019
LS-Tree: Model Interpretation When the Data Are Linguistic
AAAI Conference on Artificial Intelligence (AAAI), 2019
Jianbo Chen
Sai Li
148
19
0
11 Feb 2019
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery
Xiaoxiao Li
Nicha Dvornek
Yuan Zhou
Juntang Zhuang
P. Ventola
James S. Duncan
831
21
0
14 Dec 2018
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