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When Is Coarse Supervision Worth It? Cost-Aware Learning under Unknown Aggregation
Modern learning systems often acquire supervision at multiple resolutions, trading annotation cost against information content. We study cost-aware two-resolution learning, where expensive fine labels reveal a vector response and cheaper coarse labels reveal a scalar aggregate formed with unknown we
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