AINeutralarXiv – CS AI · 7h ago6/10
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Learning-To-Measure: In-Context Active Feature Acquisition
Researchers introduce Learning-to-Measure (L2M), a meta-learning framework that enables AI systems to learn optimal feature acquisition strategies across multiple tasks without task-specific retraining. The approach combines uncertainty quantification with a greedy acquisition agent, demonstrating superior performance on tabular datasets with missing features and limited labels.