data valuation

Training Data Attribution via Approximate Unrolling NeurIPS 2024 2D-Shapley: A Framework for Fragmented Data Valuation ICML 2023 A Privacy-Friendly Approach to Data Valuation NeurIPS 2023 Collaborative Causal Inference with Fair Incentives ICML 2023 Curating Datasets for Better Performance with Example Training Dynamics ACL 2023 Data Banzhaf: A Robust Data Valuation Framework for Machine Learning AISTATS 2023 Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value ICML 2023 Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values ACL 2023 Data Valuation Without Training of a Model ICLR 2023 Fundamentals of Task-Agnostic Data Valuation AAAI 2023 Incentives in Private Collaborative Machine Learning NeurIPS 2023 LAVA: Data Valuation without Pre-Specified Learning Algorithms ICLR 2023 OpenDataVal: a Unified Benchmark for Data Valuation NeurIPS 2023 Probably Approximate Shapley Fairness with Applications in Machine Learning AAAI 2023 Robust Data Valuation with Weighted Banzhaf Values NeurIPS 2023 The Economics of Machine Learning IJCAI 2023 Zero-Shot Data Maps. Efficient Dataset Cartography Without Model Training EMNLP 2023 Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning AISTATS 2022 CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification NeurIPS 2022 Data Appraisal Without Data Sharing AISTATS 2022 Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges IJCAI 2022 DAVINZ: Data Valuation using Deep Neural Networks at Initialization ICML 2022 Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning ICLR 2022 Estimating Example Difficulty Using Variance of Gradients CVPR 2022 Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards AAAI 2022