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data importance

4 papers

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Co-occurring keywords · papers mentioning both

shapley value (2) scalability (1) utility quantification (1) machine unlearning (1) data valuation (1) self-paced learning (1) data summarization (1) k-nearest neighbor (1) performance degradation (1) membership inference attack (1)

Papers

SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility ACL 2026 Data Debugging with Shapley Importance over Machine Learning Pipelines ICLR 2024 PUMA: Performance Unchanged Model Augmentation for Training Data Removal AAAI 2022 Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR 2021