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. 1808.02610
  4. Cited By
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured
  Data

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
ArXivPDFHTML

Papers citing "L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data"

50 / 115 papers shown
Title
On the Explainability of Natural Language Processing Deep Models
On the Explainability of Natural Language Processing Deep Models
Julia El Zini
M. Awad
39
82
0
13 Oct 2022
Discovering Transferable Forensic Features for CNN-generated Images
  Detection
Discovering Transferable Forensic Features for CNN-generated Images Detection
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Alexander Binder
Ngai-man Cheung
AAML
37
27
0
24 Aug 2022
Algorithms to estimate Shapley value feature attributions
Algorithms to estimate Shapley value feature attributions
Hugh Chen
Ian Covert
Scott M. Lundberg
Su-In Lee
TDI
FAtt
33
214
0
15 Jul 2022
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing
Jacopo Teneggi
Beepul Bharti
Yaniv Romano
Jeremias Sulam
FAtt
29
5
0
14 Jul 2022
TalkToModel: Explaining Machine Learning Models with Interactive Natural
  Language Conversations
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
Dylan Slack
Satyapriya Krishna
Himabindu Lakkaraju
Sameer Singh
39
74
0
08 Jul 2022
Fidelity of Ensemble Aggregation for Saliency Map Explanations using
  Bayesian Optimization Techniques
Fidelity of Ensemble Aggregation for Saliency Map Explanations using Bayesian Optimization Techniques
Yannik Mahlau
Christian Nolde
FAtt
42
0
0
04 Jul 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection
Accelerating Shapley Explanation via Contributive Cooperator Selection
Guanchu Wang
Yu-Neng Chuang
Mengnan Du
Fan Yang
Quan-Gen Zhou
Pushkar Tripathi
Xuanting Cai
Xia Hu
FAtt
25
21
0
17 Jun 2022
Order-sensitive Shapley Values for Evaluating Conceptual Soundness of
  NLP Models
Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models
Kaiji Lu
Anupam Datta
31
0
0
01 Jun 2022
A Unified Study of Machine Learning Explanation Evaluation Metrics
A Unified Study of Machine Learning Explanation Evaluation Metrics
Yipei Wang
Xiaoqian Wang
XAI
26
7
0
27 Mar 2022
Concept-based Explanations for Out-Of-Distribution Detectors
Concept-based Explanations for Out-Of-Distribution Detectors
Jihye Choi
Jayaram Raghuram
Ryan Feng
Jiefeng Chen
S. Jha
Atul Prakash
OODD
27
12
0
04 Mar 2022
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework
  Based on Excitable Neurons
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons
Haibo Jin
Ruoxi Chen
Haibin Zheng
Jinyin Chen
Yao Cheng
Yue Yu
Xianglong Liu
AAML
33
6
0
12 Feb 2022
The Shapley Value in Machine Learning
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
Rethinking Explainability as a Dialogue: A Practitioner's Perspective
Himabindu Lakkaraju
Dylan Slack
Yuxin Chen
Chenhao Tan
Sameer Singh
LRM
21
64
0
03 Feb 2022
A Consistent and Efficient Evaluation Strategy for Attribution Methods
A Consistent and Efficient Evaluation Strategy for Attribution Methods
Yao Rong
Tobias Leemann
V. Borisov
Gjergji Kasneci
Enkelejda Kasneci
FAtt
38
92
0
01 Feb 2022
GStarX: Explaining Graph Neural Networks with Structure-Aware
  Cooperative Games
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
Shichang Zhang
Yozen Liu
Neil Shah
Yizhou Sun
FAtt
38
45
0
28 Jan 2022
Rethinking Attention-Model Explainability through Faithfulness Violation
  Test
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
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
33
399
0
20 Jan 2022
Multi-objective Explanations of GNN Predictions
Multi-objective Explanations of GNN Predictions
Yifei Liu
Chao Chen
Yazheng Liu
Xi Zhang
Sihong Xie
24
13
0
29 Nov 2021
Self-Interpretable Model with TransformationEquivariant Interpretation
Self-Interpretable Model with TransformationEquivariant Interpretation
Yipei Wang
Xiaoqian Wang
43
23
0
09 Nov 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Mingjie Li
Shaobo Wang
Quanshi Zhang
51
11
0
05 Nov 2021
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for
  Machine Learning
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning
Yongchan Kwon
James Zou
TDI
44
122
0
26 Oct 2021
Understanding Interlocking Dynamics of Cooperative Rationalization
Understanding Interlocking Dynamics of Cooperative Rationalization
Mo Yu
Yang Zhang
Shiyu Chang
Tommi Jaakkola
32
41
0
26 Oct 2021
Text Counterfactuals via Latent Optimization and Shapley-Guided Search
Text Counterfactuals via Latent Optimization and Shapley-Guided Search
Quintin Pope
Xiaoli Z. Fern
17
20
0
22 Oct 2021
Logic Traps in Evaluating Attribution Scores
Logic Traps in Evaluating Attribution Scores
Yiming Ju
Yuanzhe Zhang
Zhao Yang
Zhongtao Jiang
Kang Liu
Jun Zhao
XAI
FAtt
38
18
0
12 Sep 2021
Instance-wise or Class-wise? A Tale of Neighbor Shapley for
  Concept-based Explanation
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
18
0
03 Sep 2021
The Role of Explainability in Assuring Safety of Machine Learning in
  Healthcare
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare
Yan Jia
John McDermid
T. Lawton
Ibrahim Habli
47
48
0
01 Sep 2021
Interpreting Attributions and Interactions of Adversarial Attacks
Interpreting Attributions and Interactions of Adversarial Attacks
Xin Eric Wang
Shuyu Lin
Hao Zhang
Yufei Zhu
Quanshi Zhang
AAML
FAtt
17
15
0
16 Aug 2021
Surrogate Model-Based Explainability Methods for Point Cloud NNs
Surrogate Model-Based Explainability Methods for Point Cloud NNs
Hanxiao Tan
Helena Kotthaus
3DPC
31
26
0
28 Jul 2021
FastSHAP: Real-Time Shapley Value Estimation
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
groupShapley: Efficient prediction explanation with Shapley values for feature groups
Martin Jullum
Annabelle Redelmeier
K. Aas
TDI
FAtt
25
20
0
23 Jun 2021
Energy-Based Learning for Cooperative Games, with Applications to
  Valuation Problems in Machine Learning
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
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
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
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
Fast Hierarchical Games for Image Explanations
Jacopo Teneggi
Alexandre Luster
Jeremias Sulam
FAtt
39
19
0
13 Apr 2021
Shapley Explanation Networks
Shapley Explanation Networks
Rui Wang
Xiaoqian Wang
David I. Inouye
TDI
FAtt
32
44
0
06 Apr 2021
Generic Attention-model Explainability for Interpreting Bi-Modal and
  Encoder-Decoder Transformers
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers
Hila Chefer
Shir Gur
Lior Wolf
ViT
31
306
0
29 Mar 2021
Efficient Explanations from Empirical Explainers
Efficient Explanations from Empirical Explainers
Robert Schwarzenberg
Nils Feldhus
Sebastian Möller
FAtt
37
9
0
29 Mar 2021
On Explainability of Graph Neural Networks via Subgraph Explorations
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
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks
Xinyang Zhang
Ren Pang
S. Ji
Fenglong Ma
Ting Wang
HAI
AI4CE
19
5
0
22 Jan 2021
The Shapley Value of Classifiers in Ensemble Games
The Shapley Value of Classifiers in Ensemble Games
Benedek Rozemberczki
Rik Sarkar
FAtt
FedML
TDI
64
33
0
06 Jan 2021
Transformer Interpretability Beyond Attention Visualization
Transformer Interpretability Beyond Attention Visualization
Hila Chefer
Shir Gur
Lior Wolf
45
645
0
17 Dec 2020
On Shapley Credit Allocation for Interpretability
On Shapley Credit Allocation for Interpretability
Debraj Basu
FAtt
14
2
0
10 Dec 2020
Improving KernelSHAP: Practical Shapley Value Estimation via Linear
  Regression
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression
Ian Covert
Su-In Lee
FAtt
12
161
0
02 Dec 2020
Why model why? Assessing the strengths and limitations of LIME
Why model why? Assessing the strengths and limitations of LIME
Jurgen Dieber
S. Kirrane
FAtt
26
97
0
30 Nov 2020
Explaining by Removing: A Unified Framework for Model Explanation
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
Feature Removal Is a Unifying Principle for Model Explanation Methods
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
33
33
0
06 Nov 2020
Model-Agnostic Explanations using Minimal Forcing Subsets
Model-Agnostic Explanations using Minimal Forcing Subsets
Xing Han
Joydeep Ghosh
AAML
6
4
0
01 Nov 2020
Interpreting Multivariate Shapley Interactions in DNNs
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
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
Previous
123
Next