Tag: data-valuation (13 references)
Shapley value-based data valuation for machine learning data markets
Proposes G-Value to bridge the gap between leave-one-out (LOO) and Shapley value approaches for data valuation. Addresses practical applications in machine learning data markets.
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
Proposes CHG (compound of Hardness and Gradient) utility function to approximate the utility of each data subset, reducing computational complexity to a single model retraining—achieving a quadratic improvement over existing Data Shapley methods.
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions
Data Flywheel Go Brrr: Using Your Users to Build Better Products
Explore how data flywheels leverage user feedback to enhance product development and achieve business success with AI.