{"total":37,"rows":[{"id":"2110.14049","title":"Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning","created":"2021-10-26","cited_by_count":165,"area":null},{"id":"2205.15466","title":"Data Banzhaf: A Robust Data Valuation Framework for Machine Learning","created":"2022-05-30","cited_by_count":132,"area":null},{"id":"2202.05594","title":"The Shapley Value in Machine Learning","created":"2022-02-11","cited_by_count":98,"area":null},{"id":"2406.11011","title":"Data Shapley in One Training Run","created":"2024-06-16","cited_by_count":81,"area":null},{"id":"2102.10936","title":"Shapley values for feature selection: The good, the bad, and the axioms","created":"2021-02-22","cited_by_count":54,"area":null},{"id":"2304.12205","title":"Synthetic Datasets for Autonomous Driving: A Survey","created":"2023-04-24","cited_by_count":48,"area":null},{"id":"2304.07718","title":"Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value","created":"2023-04-16","cited_by_count":38,"area":null},{"id":"2209.13429","title":"WeightedSHAP: analyzing and improving Shapley based feature attributions","created":"2022-09-27","cited_by_count":36,"area":null},{"id":"2301.00930","title":"Data Valuation Without Training of a Model","created":"2023-01-03","cited_by_count":35,"area":null},{"id":"2211.06800","title":"CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification","created":"2022-11-13","cited_by_count":32,"area":null},{"id":"2112.09745","title":"Interpretable Data-Based Explanations for Fairness Debugging","created":"2021-12-17","cited_by_count":30,"area":null},{"id":"2405.03875","title":"Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits","created":"2024-05-06","cited_by_count":29,"area":null},{"id":"2109.09046","title":"Improving Fairness for Data Valuation in Horizontal Federated Learning","created":"2021-09-19","cited_by_count":22,"area":null},{"id":"2201.02658","title":"Fair and efficient contribution valuation for vertical federated learning","created":"2022-01-07","cited_by_count":18,"area":null},{"id":"2311.05304","title":"Data Valuation and Detections in Federated Learning","created":"2023-11-09","cited_by_count":17,"area":null},{"id":"2306.02071","title":"DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation","created":"2023-06-03","cited_by_count":12,"area":null},{"id":"2311.13712","title":"Data Acquisition: A New Frontier in Data-centric AI","created":"2023-11-22","cited_by_count":9,"area":null},{"id":"2206.00511","title":"Differentially Private Shapley Values for Data Evaluation","created":"2022-06-01","cited_by_count":8,"area":null},{"id":"2406.03057","title":"BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges","created":"2024-06-05","cited_by_count":8,"area":null},{"id":"2410.06300","title":"SHAP values via sparse Fourier representation","created":"2024-10-08","cited_by_count":8,"area":null},{"id":"2306.02543","title":"Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm","created":"2023-06-05","cited_by_count":5,"area":null},{"id":"2107.05978","title":"DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement","created":"2021-07-13","cited_by_count":4,"area":null},{"id":"2310.07882","title":"The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research","created":"2023-10-11","cited_by_count":4,"area":null},{"id":"2303.08040","title":"Beyond Demographic Parity: Redefining Equal Treatment","created":"2023-03-14","cited_by_count":3,"area":null},{"id":"2310.09983","title":"Farzi Data: Autoregressive Data Distillation","created":"2023-10-15","cited_by_count":3,"area":null},{"id":"2109.00855","title":"Inferring feature importance with uncertainties in high-dimensional data","created":"2021-09-02","cited_by_count":2,"area":null},{"id":"2402.09288","title":"EcoVal: An Efficient Data Valuation Framework for Machine Learning","created":"2024-02-14","cited_by_count":2,"area":null},{"id":"2412.01460","title":"A Comprehensive Study of Shapley Value in Data Analytics","created":"2024-12-02","cited_by_count":2,"area":null},{"id":"2503.06602","title":"FW-Shapley: Real-time Estimation of Weighted Shapley Values","created":"2025-03-09","cited_by_count":2,"area":null},{"id":"2510.24262","title":"UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation","created":"2025-10-28","cited_by_count":2,"area":null},{"id":"2406.11010","title":"WeShap: Weak Supervision Source Evaluation with Shapley Values","created":"2024-06-16","cited_by_count":1,"area":null},{"id":"2502.06574","title":"On the Impact of the Utility in Semivalue-based Data Valuation","created":"2025-02-10","cited_by_count":1,"area":null},{"id":"2502.00494","title":"Data Overvaluation Attack and Truthful Data Valuation in Federated Learning","created":"2025-02-01","cited_by_count":0,"area":null},{"id":"2506.23349","title":"A case for data valuation transparency via DValCards","created":"2025-06-29","cited_by_count":0,"area":null},{"id":"2509.08482","title":"SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms","created":"2025-09-10","cited_by_count":0,"area":null},{"id":"2510.10510","title":"f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness","created":"2025-10-12","cited_by_count":0,"area":null},{"id":"2511.19274","title":"Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection","created":"2025-11-24","cited_by_count":0,"area":null}],"next_cursor":null}