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2202.05594
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The Shapley Value in Machine Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2022
11 February 2022
Benedek Rozemberczki
Lauren Watson
Péter Bayer
Hao-Tsung Yang
Oliver Kiss
Sebastian Nilsson
Rik Sarkar
TDI
FAtt
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Papers citing
"The Shapley Value in Machine Learning"
50 / 70 papers shown
Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification
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PrivaDE: Privacy-preserving Data Evaluation for Blockchain-based Data Marketplaces
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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
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Zeyu Zheng
Haoqin Tu
Cihang Xie
Yuyin Zhou
LRM
102
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13 Oct 2025
Incentivizing Time-Aware Fairness in Data Sharing
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Kieu Thao Nguyen Pham
Rachael Hwee Ling Sim
Arun Verma
Zhaoxuan Wu
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FedML
207
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10 Oct 2025
Shift-Invariant Attribute Scoring for Kolmogorov-Arnold Networks via Shapley Value
Wangxuan Fan
Ching Wang
Siqi Li
Nan Liu
FAtt
219
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02 Oct 2025
On the Fragility of Contribution Score Computation in Federated Learning
Balazs Pejo
Marcell Frank
Krisztian Varga
Peter Veliczky
G. Biczók
FedML
223
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24 Sep 2025
CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples
Kyohoon Jin
Juhwan Choi
Jungmin Yun
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Soojin Jang
Youngbin Kim
207
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Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
Hubert Baniecki
Maximilian Muschalik
Fabian Fumagalli
Barbara Hammer
Eyke Hüllermeier
P. Biecek
FAtt
232
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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
320
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A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning
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Xinwen Cheng
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Jinghao Zheng
Haoran Wang
Zhengbao He
Tao Li
Xiaolin Huang
CLL
289
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21 May 2025
Pure Component Property Estimation Framework Using Explainable Machine Learning Methods
Chinese Journal of Chemical Engineering (JCCE), 2025
Jianfeng Jiao
Xi Gao
Jie Li
180
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14 May 2025
Pool Formation in Oceanic Games: Shapley Value and Proportional Sharing
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E. Koutsoupias
Evangelos Markakis
Panagiotis Tsamopoulos
252
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07 May 2025
Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach
IEEE International Conference on Data Engineering (ICDE), 2025
Shuyue Wei
Yongxin Tong
Zimu Zhou
Tianran He
Yi Xu
FedML
255
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23 Apr 2025
Antithetic Sampling for Top-k Shapley Identification
Patrick Kolpaczki
Tim Nielen
Eyke Hüllermeier
FAtt
TDI
402
1
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02 Apr 2025
InfluenceNet: AI Models for Banzhaf and Shapley Value Prediction
Benjamin Kempinski
Tal Kachman
204
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11 Mar 2025
Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations
International Conference on Human Factors in Computing Systems (CHI), 2025
David Hartmann
Amin Oueslati
Dimitri Staufer
Lena Pohlmann
Simon Munzert
Hendrik Heuer
273
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03 Mar 2025
Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection
North American Chapter of the Association for Computational Linguistics (NAACL), 2025
Maximilian Spliethover
Tim Knebler
Fabian Fumagalli
Maximilian Muschalik
Barbara Hammer
Eyke Hüllermeier
Henning Wachsmuth
381
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10 Feb 2025
Decomposing Interventional Causality into Synergistic, Redundant, and Unique Components
Abel Jansma
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283
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20 Jan 2025
CAMs as Shapley Value-based Explainers
The Visual Computer (Vis. Comput.), 2025
Huaiguang Cai
FAtt
233
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A Comprehensive Study of Shapley Value in Data Analytics
Proceedings of the VLDB Endowment (PVLDB), 2024
Hong Lin
Shixin Wan
Zhongle Xie
Ke Chen
Meihui Zhang
Lidan Shou
Gang Chen
730
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02 Dec 2024
One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently
Neural Information Processing Systems (NeurIPS), 2024
Weida Li
Yaoliang Yu
220
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31 Oct 2024
Group Shapley Value and Counterfactual Simulations in a Structural Model
Yongchan Kwon
Sokbae Lee
Guillaume A. Pouliot
303
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09 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
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607
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09 Oct 2024
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Ádám Horváth
Alberto Gutierrez-Torre
Jordi Torres
Josep Ll.Berral
Balázs Pejó
FedML
404
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07 Oct 2024
shapiq: Shapley Interactions for Machine Learning
Neural Information Processing Systems (NeurIPS), 2024
Maximilian Muschalik
Hubert Baniecki
Fabian Fumagalli
Patrick Kolpaczki
Barbara Hammer
Eyke Hüllermeier
TDI
221
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Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
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Xinwen Cheng
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Tao Li
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MU
247
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Thomas Decker
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CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
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WeShap: Weak Supervision Source Evaluation with Shapley Values
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Nick Koudas
399
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A Survey on Contribution Evaluation in Vertical Federated Learning
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Chung-ju Huang
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Qiang Yang
FedML
278
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Neural Dynamic Data Valuation: A Stochastic Optimal Control Approach
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Ji Zhang
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Pengfei Zhang
Zhao Li
TDI
405
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Using Stratified Sampling to Improve LIME Image Explanations
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E. Amparore
Enrico Ferrari
Damiano Verda
FAtt
192
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Julius Kobialka
Constantin von Crailsheim
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Explaining Probabilistic Models with Distributional Values
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Michele Donini
Cédric Archambeau
Matthias Seeger
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243
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Probabilistic Shapley Value Modeling and Inference
Mert Ketenci
Inigo Urteaga
Victor Alfonso Rodriguez
Noémie Elhadad
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Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
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Xuhong Li
Xiaofei Zhang
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Explainable Adaptive Tree-based Model Selection for Time Series Forecasting
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Amal Saadallah
298
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Generating Explanations to Understand and Repair Embedding-based Entity Alignment
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Zequn Sun
Wei Hu
265
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Daphne Cornelisse
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Redundancy-aware unsupervised rankings for collections of gene sets
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Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem
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M. T. Thij
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