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Shapley explainability on the data manifold

1 June 2020

Papers citing "Shapley explainability on the data manifold"

50 / 69 papers shown

Title
Does It Make Sense to Speak of Introspection in Large Language Models? Iulia M. Comsa Murray Shanahan LRM 110 1 0 05 Jun 2025
ShaTS: A Shapley-based Explainability Method for Time Series Artificial Intelligence Models applied to Anomaly Detection in Industrial Internet of Things Manuel Franco de la Peña Ángel Luis Perales Gómez Lorenzo Fernández Maimó AI4TS FAtt 65 0 0 02 Jun 2025
Prediction via Shapley Value Regression Amr Alkhatib Roman Bresson Henrik Bostrom Michalis Vazirgiannis TDI FAtt 122 0 0 07 May 2025
shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python Martin Jullum Lars Henry Berge Olsen Jon Lachmann Annabelle Redelmeier TDI FAtt 185 3 0 02 Apr 2025
FW-Shapley: Real-time Estimation of Weighted Shapley Values Pranoy Panda Siddharth Tandon V. Balasubramanian TDI 157 1 0 09 Mar 2025
Suboptimal Shapley Value Explanations Xiaolei Lu FAtt 97 0 0 17 Feb 2025
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Yunkai Dang Kaichen Huang Jiahao Huo Yibo Yan Shijie Huang ... Kun Wang Yong Liu Jing Shao Hui Xiong Xuming Hu LRM 170 22 0 03 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 182 0 0 02 Dec 2024
Transparent Neighborhood Approximation for Text Classifier Explanation Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AAML 116 0 0 25 Nov 2024
Locality Alignment Improves Vision-Language Models Ian Covert Tony Sun James Zou Tatsunori Hashimoto VLM 272 7 0 14 Oct 2024
shapiq: Shapley Interactions for Machine Learning Maximilian Muschalik Hubert Baniecki Fabian Fumagalli Patrick Kolpaczki Barbara Hammer Eyke Hüllermeier TDI 68 13 0 02 Oct 2024
Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Survey Md. Nazmus Sakib Md Athikul Islam Royal Pathak Md Mashrur Arifin ALM PILM 61 3 0 01 Aug 2024
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks Hsiao-Ying Lu Yiran Li Ujwal Pratap Krishna Kaluvakolanu Thyagarajan K. Ma 83 0 0 06 Jun 2024
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning Shay Deutsch Lionel Yelibi Alex Tong Lin Arjun Ravi Kannan 110 1 0 04 Jun 2024
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective Ningsheng Zhao Jia Yuan Yu Krzysztof Dzieciolowski Trang Bui TDI FAtt 101 2 0 21 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 168 8 0 31 Mar 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 93 2 0 15 Feb 2024
Manifold-based Shapley for SAR Recognization Network Explanation Xuran Hu Mingzhe Zhu Yuanjing Liu Zhenpeng Feng Ljubiša Stanković FAtt GAN 68 4 0 06 Jan 2024
Explaining high-dimensional text classifiers Odelia Melamed Rich Caruana 48 0 0 22 Nov 2023
Greedy PIG: Adaptive Integrated Gradients Kyriakos Axiotis Sami Abu-El-Haija Lin Chen Matthew Fahrbach Gang Fu FAtt 67 0 0 10 Nov 2023
Fast Shapley Value Estimation: A Unified Approach Borui Zhang Baotong Tian Wenzhao Zheng Jie Zhou Jiwen Lu TDI FAtt 104 1 0 02 Nov 2023
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis Domokos M. Kelen Mihaly Petreczky Péter Kersch András A. Benczúr FAtt 66 3 0 15 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 59 3 0 07 Oct 2023
A Refutation of Shapley Values for Explainability Xuanxiang Huang Sasha Rubin FAtt 86 3 0 06 Sep 2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations Emanuele Albini Shubham Sharma Saumitra Mishra Danial Dervovic Daniele Magazzeni FAtt 81 2 0 13 Jul 2023
Simple Steps to Success: Axiomatics of Distance-Based Algorithmic Recourse Jenny Hamer Jake Valladares Vignesh Viswanathan Yair Zick 56 2 0 27 Jun 2023
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios Maximilian Muschalik Fabian Fumagalli Rohit Jagtani Barbara Hammer Eyke Hüllermeier 76 6 0 13 Jun 2023
On the Robustness of Removal-Based Feature Attributions Christy Lin Ian Covert Su-In Lee 125 13 0 12 Jun 2023
Explaining Reinforcement Learning with Shapley Values Daniel Beechey Thomas M. S. Smith Özgür Simsek TDI FAtt 67 18 0 09 Jun 2023
A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas FAtt 92 12 0 16 May 2023
Asymmetric feature interaction for interpreting model predictions Xiaolei Lu Jianghong Ma Haode Zhang FAtt 77 4 0 12 May 2023
Efficient SAGE Estimation via Causal Structure Learning C. Luther Gunnar Konig Moritz Grosse-Wentrup 124 3 0 06 Apr 2023
Shapley Chains: Extending Shapley Values to Classifier Chains CE Ayad Thomas Bonnier Benjamin Bosch Jesse Read FAtt TDI 72 2 0 30 Mar 2023
CoRTX: Contrastive Framework for Real-time Explanation Yu-Neng Chuang Guanchu Wang Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Helen Zhou 91 20 0 05 Mar 2023
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams Maximilian Muschalik Fabian Fumagalli Barbara Hammer Eyke Hüllermeier 57 3 0 02 Mar 2023
Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation N. Jethani A. Saporta Rajesh Ranganath FAtt 85 11 0 24 Feb 2023
The Inadequacy of Shapley Values for Explainability Xuanxiang Huang Sasha Rubin FAtt 105 41 0 16 Feb 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 76 0 0 11 Feb 2023
Manifold Restricted Interventional Shapley Values Muhammad Faaiz Taufiq Patrick Blobaum Lenon Minorics FAtt 162 8 0 10 Jan 2023
Explainability as statistical inference Hugo Senetaire Damien Garreau J. Frellsen Pierre-Alexandre Mattei FAtt 87 4 0 06 Dec 2022
Shapley Curves: A Smoothing Perspective Ratmir Miftachov Georg Keilbar Wolfgang Karl Härdle FAtt 122 1 0 23 Nov 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions Yongchan Kwon James Zou TDI FAtt 92 37 0 27 Sep 2022
Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams Fabian Fumagalli Maximilian Muschalik Eyke Hüllermeier Barbara Hammer 66 22 0 05 Sep 2022
Review of Natural Language Processing in Pharmacology D. Trajanov Vangel Trajkovski Makedonka Dimitrieva Jovana Dobreva Milos Jovanovik Matej Klemen Alevs vZagar Marko Robnik-vSikonja LM&MA 107 7 0 22 Aug 2022
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing Jacopo Teneggi Beepul Bharti Yaniv Romano Jeremias Sulam FAtt 103 5 0 14 Jul 2022
Shapley Computations Using Surrogate Model-Based Trees Zhipu Zhou Jie Chen Linwei Hu 44 0 0 11 Jul 2022
The Manifold Hypothesis for Gradient-Based Explanations Sebastian Bordt Uddeshya Upadhyay Zeynep Akata U. V. Luxburg FAtt AAML 64 14 0 15 Jun 2022
Learning to Estimate Shapley Values with Vision Transformers Ian Covert Chanwoo Kim Su-In Lee FAtt 89 39 0 10 Jun 2022
Interpretability Guarantees with Merlin-Arthur Classifiers S. Wäldchen Kartikey Sharma Berkant Turan Max Zimmer Sebastian Pokutta FAtt 75 5 0 01 Jun 2022
Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models Kaiji Lu Anupam Datta 50 0 0 01 Jun 2022