AINeutralarXiv – CS AI · 6h ago6/10
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Representation Curriculum: Stagewise Training for Robust Ranking and Allocation
Researchers propose Representation Curriculum (RC), a machine learning training method that improves ranking systems in digital marketplaces by strategically controlling when different data signals are introduced during model training. The approach reduces over-reliance on exposure-dependent historical signals and strengthens content-based merit evaluation, yielding better performance on cold-start scenarios and improved robustness across distribution shifts.