The Shapley Value in Machine Learning

11 February 2022

Papers citing "The Shapley Value in Machine Learning"

50 / 59 papers shown

Title
Pool Formation in Oceanic Games: Shapley Value and Proportional Sharing A. Kiayias E. Koutsoupias Evangelos Markakis Panagiotis Tsamopoulos 43 0 0 07 May 2025
Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach Shuyue Wei Yongxin Tong Zimu Zhou Tianran He Yi Xu FedML 30 0 0 23 Apr 2025
Antithetic Sampling for Top-k Shapley Identification Patrick Kolpaczki Tim Nielen Eyke Hüllermeier TDI FAtt 70 0 0 02 Apr 2025
InfluenceNet: AI Models for Banzhaf and Shapley Value Prediction Benjamin Kempinski Tal Kachman 49 0 0 11 Mar 2025
Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations David Hartmann Amin Oueslati Dimitri Staufer Lena Pohlmann Simon Munzert Hendrik Heuer 55 0 0 03 Mar 2025
Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection Maximilian Spliethover Tim Knebler Fabian Fumagalli Maximilian Muschalik Barbara Hammer Eyke Hüllermeier Henning Wachsmuth 105 1 0 10 Feb 2025
CAMs as Shapley Value-based Explainers Huaiguang Cai FAtt 45 0 0 09 Jan 2025
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
One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently Weida Li Yaoliang Yu 37 1 0 31 Oct 2024
Group Shapley Value and Counterfactual Simulations in a Structural Model Yongchan Kwon Sokbae Lee Guillaume A. Pouliot 25 0 0 09 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 87 1 0 09 Oct 2024
FRIDA: Free-Rider Detection using Privacy Attacks Pol G. Recasens Ádám Horváth Alberto Gutierrez-Torre Jordi Torres Josep Ll. Berral Balázs Pejó FedML 33 0 0 07 Oct 2024
shapiq: Shapley Interactions for Machine Learning Maximilian Muschalik Hubert Baniecki Fabian Fumagalli Patrick Kolpaczki Barbara Hammer Eyke Hüllermeier TDI 32 9 0 02 Oct 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement Zhehao Huang Xinwen Cheng JingHao Zheng Haoran Wang Zhengbao He Tao Li X. Huang MU 47 6 0 29 Sep 2024
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance Thomas Decker Alexander Koebler Michael Lebacher Ingo Thon Volker Tresp Florian Buettner 36 1 0 24 Aug 2024
Can I trust my anomaly detection system? A case study based on explainable AI Muhammad Rashid E. Amparore Enrico Ferrari Damiano Verda 41 0 0 29 Jul 2024
Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent Alejandra de la Rica Escudero E.C. Garrido-Merchán Maria Coronado Vaca AIFin 37 2 0 19 Jul 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 64 1 0 17 Jun 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values Naiqing Guan Nick Koudas 60 0 0 16 Jun 2024
A Survey on Contribution Evaluation in Vertical Federated Learning Yue Cui Chung-ju Huang Yuzhu Zhang Leye Wang Lixin Fan Xiaofang Zhou Qiang Yang FedML 42 5 0 03 May 2024
Neural Dynamic Data Valuation Zhangyong Liang Huanhuan Gao Ji Zhang TDI 48 1 0 30 Apr 2024
Using Stratified Sampling to Improve LIME Image Explanations Muhammad Rashid E. Amparore Enrico Ferrari Damiano Verda FAtt 25 2 0 26 Mar 2024
Interpretable Machine Learning for TabPFN David Rundel Julius Kobialka Constantin von Crailsheim Matthias Feurer Thomas Nagler David Rügamer AI4CE 40 3 0 16 Mar 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 37 2 0 15 Feb 2024
Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification Mert Ketenci Inigo Urteaga Victor Alfonso Rodriguez Noémie Elhadad A. Perotte FAtt 27 0 0 06 Feb 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Jundong Li XAI 40 8 0 09 Jan 2024
Explainable Adaptive Tree-based Model Selection for Time Series Forecasting Matthias Jakobs Amal Saadallah 39 5 0 02 Jan 2024
Generating Explanations to Understand and Repair Embedding-based Entity Alignment Xiaobin Tian Zequn Sun Wei Hu 26 6 0 08 Dec 2023
Using Cooperative Game Theory to Prune Neural Networks M. Diaz-Ortiz Benjamin Kempinski Daphne Cornelisse Yoram Bachrach Tal Kachman 35 2 0 17 Nov 2023
CopyScope: Model-level Copyright Infringement Quantification in the Diffusion Workflow Junlei Zhou Jiashi Gao Ziwei Wang Xuetao Wei 23 2 0 13 Oct 2023
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks Vinitra Swamy Malika Satayeva Jibril Frej Thierry Bossy Thijs Vogels Martin Jaggi Tanja Kaser Mary-Anne Hartley 20 12 0 25 Sep 2023
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing Daniel Siegismund Mario Wieser S. Heyse Stephan Steigele 23 1 0 31 Aug 2023
Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield D. Wolf Markus Ulrich Nikhil Kapoor 37 3 0 19 Aug 2023
Redundancy-aware unsupervised rankings for collections of gene sets Chiara Balestra C. Maj Emmanuel Muller Andreas Mayr 11 0 0 30 Jul 2023
Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem Afsana Khan M. T. Thij F. Thuijsman A. Wilbik FedML 28 2 0 07 Jul 2023
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection Delyan Boychev AAML 29 1 0 04 Jul 2023
Structured Network Pruning by Measuring Filter-wise Interactions Wenting Tang Xingxing Wei Bo-wen Li 20 0 0 03 Jul 2023
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI Ulrike Kuhl André Artelt Barbara Hammer 13 4 0 13 Jun 2023
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances Ana Nikolikj Savso Dvzeroski Mario Andrés Muñoz Carola Doerr Peter Korovsec T. Eftimov 28 5 0 01 Jun 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value Yongchan Kwon James Zou TDI FedML 39 35 0 16 Apr 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 33 1 0 14 Mar 2023
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers Sotiris Pelekis Ioannis-Konstantinos Seisopoulos Evangelos Spiliotis Theodosios Pountridis Evangelos Karakolis S. Mouzakitis D. Askounis 23 16 0 23 Feb 2023
The Inadequacy of Shapley Values for Explainability Xuanxiang Huang Sasha Rubin FAtt 37 41 0 16 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
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 24 18 0 22 Jan 2023
Shapley Values with Uncertain Value Functions R. Heese Sascha Mucke Matthias Jakobs Thore Gerlach Nico Piatkowski TDI 8 5 0 19 Jan 2023
Training Data Influence Analysis and Estimation: A Survey Zayd Hammoudeh Daniel Lowd TDI 29 82 0 09 Dec 2022
Probably Approximate Shapley Fairness with Applications in Machine Learning Zijian Zhou Xinyi Xu Rachael Hwee Ling Sim Chuan-Sheng Foo K. H. Low TDI 20 9 0 01 Dec 2022
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values Anand Dubey Niall Lyons Avik Santra Ashutosh Pandey 13 5 0 07 Nov 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions Yongchan Kwon James Zou TDI FAtt 29 33 0 27 Sep 2022