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Shapley Explanation Networks

Shapley Explanation Networks

International Conference on Learning Representations (ICLR), 2021
6 April 2021
Rui Wang
Xiaoqian Wang
David I. Inouye
    TDIFAtt
ArXiv (abs)PDFHTMLGithub (88★)

Papers citing "Shapley Explanation Networks"

32 / 32 papers shown
Desensitizing for Improving Corruption Robustness in Point Cloud Classification through Adversarial Training
Desensitizing for Improving Corruption Robustness in Point Cloud Classification through Adversarial TrainingPattern Recognition (Pattern Recogn.), 2025
Zhiqiang Tian
Weigang Li
Chunhua Deng
Junwei Hu
Yongqiang Wang
Wenping Liu
3DPC
270
1
0
27 Sep 2025
Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring
Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring
Ludan Zhang
Sihan Wang
Yuqi Dai
Shuofei Qiao
Qinyue Luo
Lei He
206
0
0
11 Aug 2025
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision QuantizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Haidong Kang
Lianbo Ma
Guo-Ding Yu
Shangce Gao
MQ
322
1
0
05 Aug 2025
SHAP-Guided Regularization in Machine Learning Models
SHAP-Guided Regularization in Machine Learning Models
Amal Saadallah
TDIFAtt
385
3
0
31 Jul 2025
Prediction via Shapley Value Regression
Prediction via Shapley Value Regression
Amr Alkhatib
Roman Bresson
Henrik Bostrom
Michalis Vazirgiannis
TDIFAtt
458
3
0
07 May 2025
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable ModelsAAAI Conference on Artificial Intelligence (AAAI), 2025
Susmit Agrawal
Deepika Vemuri
S. Paul
Vineeth N. Balasubramanian
CLL
384
1
0
27 Feb 2025
A Comprehensive Study of Shapley Value in Data Analytics
A Comprehensive Study of Shapley Value in Data AnalyticsProceedings of the VLDB Endowment (PVLDB), 2024
Hong Lin
Shixin Wan
Zhongle Xie
Ke Chen
Meihui Zhang
Lidan Shou
Gang Chen
890
4
0
02 Dec 2024
Feature Map Convergence Evaluation for Functional Module
Feature Map Convergence Evaluation for Functional Module
Ludan Zhang
Chaoyi Chen
Lei He
Keqiang Li
306
6
0
07 May 2024
EcoVal: An Efficient Data Valuation Framework for Machine Learning
EcoVal: An Efficient Data Valuation Framework for Machine Learning
Ayush K Tarun
Vikram S Chundawat
Murari Mandal
Hong Ming Tan
Bowei Chen
Mohan Kankanhalli
TDI
551
3
0
14 Feb 2024
Dual feature-based and example-based explanation methods
Dual feature-based and example-based explanation methods
A. Konstantinov
Boris V. Kozlov
Stanislav R. Kirpichenko
Lev V. Utkin
FAtt
471
0
0
29 Jan 2024
CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal
  Feature Removal Problem
CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal ProblemAAAI Conference on Artificial Intelligence (AAAI), 2023
Qian Chen
Tao Zhang
Dongyang Li
Xiaofeng He
561
0
0
13 Dec 2023
Fast Shapley Value Estimation: A Unified Approach
Fast Shapley Value Estimation: A Unified Approach
Borui Zhang
Baotong Tian
Wenzhao Zheng
Jie Zhou
Jiwen Lu
TDIFAtt
473
2
0
02 Nov 2023
Towards Faithful Neural Network Intrinsic Interpretation with Shapley
  Additive Self-Attribution
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution
Ying Sun
Hengshu Zhu
Huixia Xiong
TDIFAttMILM
378
2
0
27 Sep 2023
SHAPNN: Shapley Value Regularized Tabular Neural Network
SHAPNN: Shapley Value Regularized Tabular Neural Network
Qisen Cheng
Shuhui Qu
Janghwan Lee
353
4
0
15 Sep 2023
Adversarial Attacks on the Interpretation of Neuron Activation
  Maximization
Adversarial Attacks on the Interpretation of Neuron Activation MaximizationAAAI Conference on Artificial Intelligence (AAAI), 2023
Géraldin Nanfack
A. Fulleringer
Jonathan Marty
Michael Eickenberg
Eugene Belilovsky
AAMLFAtt
318
13
0
12 Jun 2023
Explainable Reinforcement Learning via a Causal World Model
Explainable Reinforcement Learning via a Causal World ModelInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Zhongwei Yu
Jingqing Ruan
Dengpeng Xing
CML
628
29
0
04 May 2023
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward
  Propagation
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward PropagationInternational Conference on Machine Learning (ICML), 2023
Lu Chen
Siyu Lou
Keyan Zhang
Jin Huang
Quanshi Zhang
TDIFAtt
344
17
0
04 Apr 2023
CoRTX: Contrastive Framework for Real-time Explanation
CoRTX: Contrastive Framework for Real-time ExplanationInternational Conference on Learning Representations (ICLR), 2023
Yu-Neng Chuang
Guanchu Wang
Fan Yang
Quan-Gen Zhou
Pushkar Tripathi
Xuanting Cai
Helen Zhou
276
27
0
05 Mar 2023
Efficient XAI Techniques: A Taxonomic Survey
Efficient XAI Techniques: A Taxonomic Survey
Yu-Neng Chuang
Guanchu Wang
Fan Yang
Zirui Liu
Xuanting Cai
Mengnan Du
Helen Zhou
301
41
0
07 Feb 2023
Trade-off Between Efficiency and Consistency for Removal-based
  Explanations
Trade-off Between Efficiency and Consistency for Removal-based ExplanationsNeural Information Processing Systems (NeurIPS), 2022
Yifan Zhang
Haowei He
Zhiyuan Tan
Yang Yuan
FAtt
563
7
0
31 Oct 2022
TCNL: Transparent and Controllable Network Learning Via Embedding
  Human-Guided Concepts
TCNL: Transparent and Controllable Network Learning Via Embedding Human-Guided ConceptsInternational Conference on Critical Infrastructure Protection (ICCIP), 2022
Zhihao Wang
Chuang Zhu
328
1
0
07 Oct 2022
Algorithms to estimate Shapley value feature attributions
Algorithms to estimate Shapley value feature attributionsNature Machine Intelligence (Nat. Mach. Intell.), 2022
Hugh Chen
Ian Covert
Scott M. Lundberg
Su-In Lee
TDIFAtt
341
401
0
15 Jul 2022
Shapley-NAS: Discovering Operation Contribution for Neural Architecture
  Search
Shapley-NAS: Discovering Operation Contribution for Neural Architecture SearchComputer Vision and Pattern Recognition (CVPR), 2022
Han Xiao
Ziwei Wang
Zhengbiao Zhu
Jie Zhou
Jiwen Lu
TDI
232
55
0
20 Jun 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection
Accelerating Shapley Explanation via Contributive Cooperator SelectionInternational 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
292
25
0
17 Jun 2022
HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning
HEX: Human-in-the-loop Explainability via Deep Reinforcement LearningDecision Support Systems (DSS), 2022
Michael T. Lash
356
1
0
02 Jun 2022
Self-Interpretable Model with TransformationEquivariant Interpretation
Self-Interpretable Model with TransformationEquivariant Interpretation
Yipei Wang
Xiaoqian Wang
245
28
0
09 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
474
189
0
26 Oct 2021
Interpreting and improving deep-learning models with reality checks
Interpreting and improving deep-learning models with reality checks
Chandan Singh
Wooseok Ha
Bin Yu
FAtt
294
4
0
16 Aug 2021
Attention-like feature explanation for tabular data
Attention-like feature explanation for tabular dataInternational Journal of Data Science and Analysis (JDSA), 2021
A. Konstantinov
Lev V. Utkin
FAtt
350
6
0
10 Aug 2021
FastSHAP: Real-Time Shapley Value Estimation
FastSHAP: Real-Time Shapley Value EstimationInternational Conference on Learning Representations (ICLR), 2021
Hao Zhang
Mukund Sudarshan
Ian Covert
Su-In Lee
Rajesh Ranganath
TDIFAtt
493
183
0
15 Jul 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 LearningInternational Conference on Learning Representations (ICLR), 2021
Yatao Bian
Yu Rong
Qifeng Bai
Jiaxiang Wu
Andreas Krause
Junzhou Huang
542
17
0
05 Jun 2021
Explaining a Series of Models by Propagating Shapley Values
Explaining a Series of Models by Propagating Shapley ValuesNature Communications (Nat Commun), 2021
Hugh Chen
Scott M. Lundberg
Su-In Lee
TDIFAtt
426
227
0
30 Apr 2021
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