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

26 March 2019

Markus Gross

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

50 / 121 papers shown

Title
Prediction via Shapley Value Regression Amr Alkhatib Roman Bresson Henrik Bostrom Michalis Vazirgiannis TDI FAtt 69 0 0 07 May 2025
FW-Shapley: Real-time Estimation of Weighted Shapley Values Pranoy Panda Siddharth Tandon V. Balasubramanian TDI 65 0 0 09 Mar 2025
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability Wen-Dong Jiang Chih-Yung Chang Show-Jane Yen Diptendu Sinha Roy FAtt HAI 80 1 0 02 Dec 2024
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
Sensitivity Analysis on Policy-Augmented Graphical Hybrid Models with Shapley Value Estimation Junkai Zhao Wei Xie Jun Luo 69 0 0 20 Nov 2024
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 Lars Henry Berge Olsen Martin Jullum TDI FAtt 77 2 0 07 Oct 2024
Layerwise Change of Knowledge in Neural Networks Xu Cheng Lei Cheng Zhaoran Peng Yang Xu Tian Han Quanshi Zhang KELM FAtt 35 5 0 13 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 80 28 0 30 Aug 2024
Feature Inference Attack on Shapley Values Xinjian Luo Yangfan Jiang X. Xiao AAML FAtt 46 19 0 16 Jul 2024
IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution Yue Zhuo Zhiqiang Ge 26 7 0 16 Jun 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values Naiqing Guan Nick Koudas 60 0 0 16 Jun 2024
Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View Jin Wang Shichao Dong Yapeng Zhu Kelu Yao Weidong Zhao Chao Li Ping Luo CoGe LRM 50 2 0 27 May 2024
Improving the Explain-Any-Concept by Introducing Nonlinearity to the Trainable Surrogate Model Mounes Zaval Sedat Ozer LRM 27 0 0 20 May 2024
Prospector Heads: Generalized Feature Attribution for Large Models & Data Gautam Machiraju Alexander Derry Arjun D Desai Neel Guha Amir-Hossein Karimi James Zou Russ Altman Christopher Ré Parag Mallick AI4TS MedIm 50 0 0 18 Feb 2024
Identifying Important Group of Pixels using Interactions Kosuke Sumiyasu Kazuhiko Kawamoto Hiroshi Kera 21 2 0 08 Jan 2024
ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton Wei-Yao Wang Wenjie Peng Wei Wang Philip S. Yu 38 0 0 18 Dec 2023
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning Tom Nuno Wolf Fabian Bongratz Anne-Marie Rickmann Sebastian Polsterl Christian Wachinger AAML FAtt 40 6 0 15 Dec 2023
Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole Slide Image Classification Renao Yan Qiehe Sun Cheng Jin Yiqing Liu Yonghong He Tian Guan Hao Chen 46 9 0 09 Dec 2023
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research Thomas Decker Ralf Gross Alexander Koebler Michael Lebacher Ronald Schnitzer Stefan H. Weber 36 2 0 11 Oct 2023
A New Baseline Assumption of Integated Gradients Based on Shaply value Shuyang Liu Zixuan Chen Ge Shi Ji Wang Changjie Fan Yu Xiong Runze Wu Yujing Hu Ze Ji Yang Gao 21 3 0 07 Oct 2023
Towards Attributions of Input Variables in a Coalition Xinhao Zheng Huiqi Deng Bo Fan Quanshi Zhang 30 1 0 23 Sep 2023
Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting Hai Wu Qunsong Zeng Kaibin Huang 24 7 0 28 Jul 2023
Robust Ranking Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie FAtt AAML 35 0 0 08 Jul 2023
Explain Any Concept: Segment Anything Meets Concept-Based Explanation Ao Sun Pingchuan Ma Yuanyuan Yuan Shuai Wang LLMAG 28 32 0 17 May 2023
A feature selection method based on Shapley values robust to concept shift in regression Carlos Sebastián Carlos E. González-Guillén 27 6 0 28 Apr 2023
Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs Mingjie Li Quanshi Zhang 36 9 0 26 Apr 2023
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients Ángel Víctor Juanco-Müller João F. C. Mota K. Goatman C. Hoogendoorn 32 1 0 17 Apr 2023
MLOps Spanning Whole Machine Learning Life Cycle: A Survey Fang Zhengxin Yuan Yi Zhang Jingyu Liu Yue Mu Yuechen ... Xu Xiwei Wang Jeff Wang Chen Zhang Shuai Chen Shiping 24 4 0 13 Apr 2023
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition Wei-Jang Li Wei Yang Wenpeng Zhang Tianpeng Liu Yongxiang Liu Yong-Jin Liu 33 18 0 07 Apr 2023
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation Lu Chen Siyu Lou Keyan Zhang Jin Huang Quanshi Zhang TDI FAtt 22 9 0 04 Apr 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 119 31 0 24 Mar 2023
Schema Inference for Interpretable Image Classification Haofei Zhang Mengqi Xue Xiaokang Liu Kaixuan Chen Mingli Song Mingli Song OCL 47 3 0 12 Mar 2023
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts Qihan Ren Huiqi Deng Yunuo Chen Siyu Lou Quanshi Zhang BDL AAML 33 10 0 25 Feb 2023
Does a Neural Network Really Encode Symbolic Concepts? Mingjie Li Quanshi Zhang 29 30 0 25 Feb 2023
Efficient XAI Techniques: A Taxonomic Survey Yu-Neng Chuang Guanchu Wang Fan Yang Zirui Liu Xuanting Cai Mengnan Du Xia Hu 24 32 0 07 Feb 2023
Neural Insights for Digital Marketing Content Design F. Kong Yuan Li Houssam Nassif Tanner Fiez Ricardo Henao Shreya Chakrabarti 3DV 27 10 0 02 Feb 2023
Approximating the Shapley Value without Marginal Contributions Patrick Kolpaczki Viktor Bengs Maximilian Muschalik Eyke Hüllermeier FAtt TDI 19 25 0 01 Feb 2023
BALANCE: Bayesian Linear Attribution for Root Cause Localization Chaoyu Chen Hang Yu Zhichao Lei Jianguo Li Shaokang Ren Tingkai Zhang Si-Yu Hu Jianchao Wang Wenhui Shi 42 7 0 31 Jan 2023
Black-box language model explanation by context length probing Ondřej Cífka Antoine Liutkus MILM LRM 24 6 0 30 Dec 2022
Provable Robust Saliency-based Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie AAML FAtt 36 0 0 28 Dec 2022
MogaNet: Multi-order Gated Aggregation Network Siyuan Li Zedong Wang Zicheng Liu Cheng Tan Haitao Lin Di Wu Zhiyuan Chen Jiangbin Zheng Stan Z. Li 31 55 0 07 Nov 2022
Trade-off Between Efficiency and Consistency for Removal-based Explanations Yifan Zhang Haowei He Zhiyuan Tan Yang Yuan FAtt 41 3 0 31 Oct 2022
Interpretable Geometric Deep Learning via Learnable Randomness Injection Siqi Miao Yunan Luo Miaoyuan Liu Pan Li 26 25 0 30 Oct 2022
Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights Tianshu Feng Zhipu Zhou Tarun Joshi V. Nair FAtt 20 4 0 12 Aug 2022
Explaining Deepfake Detection by Analysing Image Matching S. Dong Jin Wang Jiajun Liang Haoqiang Fan Renhe Ji 29 47 0 20 Jul 2022
Algorithms to estimate Shapley value feature attributions Hugh Chen Ian Covert Scott M. Lundberg Su-In Lee TDI FAtt 31 214 0 15 Jul 2022
Repairing Neural Networks by Leaving the Right Past Behind Ryutaro Tanno Melanie F. Pradier A. Nori Yingzhen Li KELM 33 32 0 11 Jul 2022
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search Han Xiao Ziwei Wang Zhengbiao Zhu Jie Zhou Jiwen Lu TDI 22 37 0 20 Jun 2022
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 23 21 0 17 Jun 2022