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The Shapley Value in Machine Learning

International Joint Conference on Artificial Intelligence (IJCAI), 2022

11 February 2022

Papers citing "The Shapley Value in Machine Learning"

50 / 70 papers shown

Title
Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification Yijia Fan Jusheng Zhang Kaitong Cai Jing Yang Keze Wang 20 0 0 30 Nov 2025
Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning Hossein R. Nowdeh Jie Ji Xiaolong Ma Fatemeh Afghah 104 0 0 28 Oct 2025
PrivaDE: Privacy-preserving Data Evaluation for Blockchain-based Data Marketplaces Wan Ki Wong Sahel Torkamani Michele Ciampi Rik Sarkar 96 0 0 20 Oct 2025
Where on Earth? A Vision-Language Benchmark for Probing Model Geolocation Skills Across Scales Zhaofang Qian Hardy Chen Zeyu Wang Li Zhang Zijun Wang ... Xianfeng Tang Zeyu Zheng Haoqin Tu Cihang Xie Yuyin Zhou LRM 78 0 0 13 Oct 2025
Incentivizing Time-Aware Fairness in Data Sharing Jiangwei Chen Kieu Thao Nguyen Pham Rachael Hwee Ling Sim Arun Verma Zhaoxuan Wu Chuan-Sheng Foo Bryan Kian Hsiang Low FedML 154 0 0 10 Oct 2025
Shift-Invariant Attribute Scoring for Kolmogorov-Arnold Networks via Shapley Value Wangxuan Fan Ching Wang Siqi Li Nan Liu FAtt 178 1 0 02 Oct 2025
On the Fragility of Contribution Score Computation in Federated Learning Balazs Pejo Marcell Frank Krisztian Varga Peter Veliczky G. Biczók FedML 187 0 0 24 Sep 2025
CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples Kyohoon Jin Juhwan Choi Jungmin Yun Junho Lee Soojin Jang Youngbin Kim 176 0 0 26 Aug 2025
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions Hubert Baniecki Maximilian Muschalik Fabian Fumagalli Barbara Hammer Eyke Hüllermeier P. Biecek FAtt 206 0 0 07 Aug 2025
OrdShap: Feature Position Importance for Sequential Black-Box Models Davin Hill Brian L. Hill A. Masoomi Vijay S. Nori Robert E. Tillman Jennifer Dy FAtt 221 0 0 16 Jul 2025
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning Zhehao Huang Xinwen Cheng Jing Zhang Jinghao Zheng Haoran Wang Zhengbao He Tao Li Xiaolin Huang CLL 232 1 0 21 May 2025
Pure Component Property Estimation Framework Using Explainable Machine Learning MethodsChinese Journal of Chemical Engineering (JCCE), 2025 Jianfeng Jiao Xi Gao Jie Li 135 0 0 14 May 2025
Pool Formation in Oceanic Games: Shapley Value and Proportional Sharing A. Kiayias E. Koutsoupias Evangelos Markakis Panagiotis Tsamopoulos 210 0 0 07 May 2025
Efficient Data Valuation Approximation in Federated Learning: A Sampling-based ApproachIEEE International Conference on Data Engineering (ICDE), 2025 Shuyue Wei Yongxin Tong Zimu Zhou Tianran He Yi Xu FedML 214 0 0 23 Apr 2025
Antithetic Sampling for Top-k Shapley Identification Patrick Kolpaczki Tim Nielen Eyke Hüllermeier FAtt TDI 349 0 0 02 Apr 2025
InfluenceNet: AI Models for Banzhaf and Shapley Value Prediction Benjamin Kempinski Tal Kachman 169 0 0 11 Mar 2025
Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic VariationsInternational Conference on Human Factors in Computing Systems (CHI), 2025 David Hartmann Amin Oueslati Dimitri Staufer Lena Pohlmann Simon Munzert Hendrik Heuer 235 7 0 03 Mar 2025
Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias DetectionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025 Maximilian Spliethover Tim Knebler Fabian Fumagalli Maximilian Muschalik Barbara Hammer Eyke Hüllermeier Henning Wachsmuth 345 1 0 10 Feb 2025
Decomposing Interventional Causality into Synergistic, Redundant, and Unique Components Abel Jansma CML 248 4 0 20 Jan 2025
CAMs as Shapley Value-based ExplainersThe Visual Computer (Vis. Comput.), 2025 Huaiguang Cai FAtt 201 5 0 09 Jan 2025
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 649 0 0 02 Dec 2024
One Sample Fits All: Approximating All Probabilistic Values Simultaneously and EfficientlyNeural Information Processing Systems (NeurIPS), 2024 Weida Li Yaoliang Yu 193 6 0 31 Oct 2024
Group Shapley Value and Counterfactual Simulations in a Structural Model Yongchan Kwon Sokbae Lee Guillaume A. Pouliot 256 1 0 09 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 563 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 355 1 0 07 Oct 2024
shapiq: Shapley Interactions for Machine LearningNeural Information Processing Systems (NeurIPS), 2024 Maximilian Muschalik Hubert Baniecki Fabian Fumagalli Patrick Kolpaczki Barbara Hammer Eyke Hüllermeier TDI 170 30 0 02 Oct 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry EnhancementNeural Information Processing Systems (NeurIPS), 2024 Zhehao Huang Xinwen Cheng Jinghao Zheng Haoran Wang Zhengbao He Tao Li Xiaolin Huang MU 191 25 0 29 Sep 2024
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on PerformanceKnowledge Discovery and Data Mining (KDD), 2024 Thomas Decker Alexander Koebler Michael Lebacher Ingo Thon Volker Tresp Florian Buettner 224 2 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 182 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 219 9 0 19 Jul 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 506 2 0 17 Jun 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values Naiqing Guan Nick Koudas 343 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 247 9 0 03 May 2024
Neural Dynamic Data Valuation: A Stochastic Optimal Control Approach Zhangyong Liang Ji Zhang Ji Zhang Pengfei Zhang Zhao Li TDI 310 1 0 30 Apr 2024
Using Stratified Sampling to Improve LIME Image Explanations Muhammad Rashid E. Amparore Enrico Ferrari Damiano Verda FAtt 141 6 0 26 Mar 2024
Interpretable Machine Learning for TabPFN David Rundel Julius Kobialka Constantin von Crailsheim Matthias Feurer Thomas Nagler David Rügamer AI4CE 184 7 0 16 Mar 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 189 3 0 15 Feb 2024
Probabilistic Shapley Value Modeling and Inference Mert Ketenci Inigo Urteaga Victor Alfonso Rodriguez Noémie Elhadad A. Perotte FAtt 293 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 322 13 0 09 Jan 2024
Explainable Adaptive Tree-based Model Selection for Time Series ForecastingIndustrial Conference on Data Mining (IDM), 2023 Matthias Jakobs Amal Saadallah 263 6 0 02 Jan 2024
Generating Explanations to Understand and Repair Embedding-based Entity AlignmentIEEE International Conference on Data Engineering (ICDE), 2023 Xiaobin Tian Zequn Sun Wei Hu 181 12 0 08 Dec 2023
Using Cooperative Game Theory to Prune Neural Networks M. Diaz-Ortiz Benjamin Kempinski Daphne Cornelisse Yoram Bachrach Tal Kachman 293 2 0 17 Nov 2023
CopyScope: Model-level Copyright Infringement Quantification in the Diffusion Workflow Junlei Zhou Jiashi Gao Ziwei Wang Xuetao Wei 141 4 0 13 Oct 2023
MultiModN- Multimodal, Multi-Task, Interpretable Modular NetworksNeural Information Processing Systems (NeurIPS), 2023 Vinitra Swamy Malika Satayeva Jibril Frej Thierry Bossy Thijs Vogels Martin Jaggi Tanja Käser Mary-Anne Hartley 181 20 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 165 2 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 143 3 0 19 Aug 2023
Redundancy-aware unsupervised rankings for collections of gene sets Chiara Balestra C. Maj Emmanuel Muller Andreas Mayr 78 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 248 2 0 07 Jul 2023
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection Delyan Boychev AAML 136 1 0 04 Jul 2023
Structured Network Pruning by Measuring Filter-wise Interactions Wenting Tang Xingxing Wei Yue Liu 158 0 0 03 Jul 2023