<ul><li>Info-Coevolution is a new framework proposed for efficient dataset construction and training in machine learning.</li><li>It addresses the challenge of determining if new data needs annotation given the existing model and data.</li><li>The framework selectively annotates and integrates online data to enhance datasets efficiently without bias.</li><li>Info-Coevolution has shown promising results in reducing annotation and training costs for datasets like ImageNet-1K.</li></ul>

Info-Coevolution: An Efficient Framework for Data Model Coevolution

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