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. 1903.10992
  4. Cited By
Explaining Deep Neural Networks with a Polynomial Time Algorithm for
  Shapley Values Approximation

Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation

26 March 2019
Marco Ancona
Cengiz Öztireli
Markus Gross
    FAtt
    TDI
ArXivPDFHTML

Papers citing "Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation"

38 / 38 papers shown
Title
FW-Shapley: Real-time Estimation of Weighted Shapley Values
Pranoy Panda
Siddharth Tandon
V. Balasubramanian
TDI
65
0
0
09 Mar 2025
A Comprehensive Study of Shapley Value in Data Analytics
A Comprehensive Study of Shapley Value in Data Analytics
Hong Lin
Shixin Wan
Zhongle Xie
Ke Chen
Meihui Zhang
Lidan Shou
Gang Chen
95
0
0
02 Dec 2024
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability
Wen-Dong Jiang
Chih-Yung Chang
Show-Jane Yen
Diptendu Sinha Roy
FAtt
HAI
67
1
0
02 Dec 2024
Fast Estimation of Partial Dependence Functions using Trees
Fast Estimation of Partial Dependence Functions using Trees
Jinyang Liu
Tessa Steensgaard
Marvin N. Wright
Niklas Pfister
M. Hiabu
FAtt
42
0
0
17 Oct 2024
Improving the Weighting Strategy in KernelSHAP
Improving the Weighting Strategy in KernelSHAP
Lars Henry Berge Olsen
Martin Jullum
TDI
FAtt
69
2
0
07 Oct 2024
Layerwise Change of Knowledge in Neural Networks
Layerwise Change of Knowledge in Neural Networks
Xu Cheng
Lei Cheng
Zhaoran Peng
Yang Xu
Tian Han
Quanshi Zhang
KELM
FAtt
33
6
0
13 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
67
28
0
30 Aug 2024
Feature Inference Attack on Shapley Values
Feature Inference Attack on Shapley Values
Xinjian Luo
Yangfan Jiang
X. Xiao
AAML
FAtt
30
19
0
16 Jul 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values
WeShap: Weak Supervision Source Evaluation with Shapley Values
Naiqing Guan
Nick Koudas
50
0
0
16 Jun 2024
Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting
Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting
Hai Wu
Qunsong Zeng
Kaibin Huang
19
7
0
28 Jul 2023
Robust Ranking Explanations
Robust Ranking Explanations
Chao Chen
Chenghua Guo
Guixiang Ma
Ming Zeng
Xi Zhang
Sihong Xie
FAtt
AAML
32
0
0
08 Jul 2023
Technical Note: Defining and Quantifying AND-OR Interactions for
  Faithful and Concise Explanation of DNNs
Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs
Mingjie Li
Quanshi Zhang
22
9
0
26 Apr 2023
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle
  Recognition
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition
Wei-Jang Li
Wei Yang
Wenpeng Zhang
Tianpeng Liu
Yongxiang Liu
Y. Liu
25
18
0
07 Apr 2023
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
Siyuan Li
Di Wu
Fang Wu
Lei Shang
Stan.Z.Li
32
48
0
27 May 2022
Cardinality-Minimal Explanations for Monotonic Neural Networks
Cardinality-Minimal Explanations for Monotonic Neural Networks
Ouns El Harzli
Bernardo Cuenca Grau
Ian Horrocks
FAtt
30
5
0
19 May 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural
  Networks from Multi-order Interactions
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions
Fang Wu
Siyuan Li
Lirong Wu
Dragomir R. Radev
Stan Z. Li
27
2
0
15 May 2022
A Neural Ordinary Differential Equation Model for Visualizing Deep
  Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation
Zhenyu Yang
Zongsheng Hu
H. Ji
Kyle J. Lafata
Scott Floyd
F. Yin
C. Wang
24
14
0
01 Mar 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
16
204
0
11 Feb 2022
Toward Explainable AI for Regression Models
Toward Explainable AI for Regression Models
S. Letzgus
Patrick Wagner
Jonas Lederer
Wojciech Samek
Klaus-Robert Muller
G. Montavon
XAI
28
63
0
21 Dec 2021
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement
  Learning
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning
Wenjie Shi
Gao Huang
Shiji Song
Cheng Wu
24
9
0
06 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an
  Attribution View
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
Di Jin
Elena Sergeeva
W. Weng
Geeticka Chauhan
Peter Szolovits
OOD
31
55
0
05 Dec 2021
Discovering and Explaining the Representation Bottleneck of DNNs
Discovering and Explaining the Representation Bottleneck of DNNs
Huiqi Deng
Qihan Ren
Hao Zhang
Quanshi Zhang
37
59
0
11 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
16
11
0
05 Nov 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine
  Learning
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning
Yang Liu
Sujay Khandagale
Colin White
W. Neiswanger
26
65
0
23 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
10
60
0
01 Jun 2021
Explainability-based Backdoor Attacks Against Graph Neural Networks
Explainability-based Backdoor Attacks Against Graph Neural Networks
Jing Xu
Minhui Xue
Xue
S. Picek
20
74
0
08 Apr 2021
Shapley Explanation Networks
Shapley Explanation Networks
Rui Wang
Xiaoqian Wang
David I. Inouye
TDI
FAtt
17
44
0
06 Apr 2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness
A Unified Game-Theoretic Interpretation of Adversarial Robustness
Jie Ren
Die Zhang
Yisen Wang
Lu Chen
Zhanpeng Zhou
...
Xu Cheng
Xin Eric Wang
Meng Zhou
Jie Shi
Quanshi Zhang
AAML
64
22
0
12 Mar 2021
Ensembles of Random SHAPs
Ensembles of Random SHAPs
Lev V. Utkin
A. Konstantinov
FAtt
16
20
0
04 Mar 2021
Axiomatic Explanations for Visual Search, Retrieval, and Similarity
  Learning
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning
Mark Hamilton
Scott M. Lundberg
Lei Zhang
Stephanie Fu
William T. Freeman
FAtt
25
10
0
28 Feb 2021
The Shapley Value of Classifiers in Ensemble Games
The Shapley Value of Classifiers in Ensemble Games
Benedek Rozemberczki
Rik Sarkar
FAtt
FedML
TDI
51
33
0
06 Jan 2021
A Multilinear Sampling Algorithm to Estimate Shapley Values
A Multilinear Sampling Algorithm to Estimate Shapley Values
Ramin Okhrati
Aldo Lipani
TDI
FAtt
70
38
0
22 Oct 2020
Learning Propagation Rules for Attribution Map Generation
Learning Propagation Rules for Attribution Map Generation
Yiding Yang
Jiayan Qiu
Mingli Song
Dacheng Tao
Xinchao Wang
FAtt
30
17
0
14 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
21
94
0
08 Oct 2020
Interpreting and Disentangling Feature Components of Various Complexity
  from DNNs
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
Jie Ren
Mingjie Li
Zexu Liu
Quanshi Zhang
CoGe
6
18
0
29 Jun 2020
On Interpretability of Artificial Neural Networks: A Survey
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAML
AI4CE
30
300
0
08 Jan 2020
An explanation method for Siamese neural networks
An explanation method for Siamese neural networks
Lev V. Utkin
M. Kovalev
E. Kasimov
6
14
0
18 Nov 2019
Analysing Neural Language Models: Contextual Decomposition Reveals
  Default Reasoning in Number and Gender Assignment
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment
Jaap Jumelet
Willem H. Zuidema
Dieuwke Hupkes
LRM
25
37
0
19 Sep 2019
1