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PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery

Summary: PACE learns task decomposition for healthcare using a reject option routing easy tasks to model and hard tasks to clinicians. Two-level design: Self-Paced Learning selects easy tasks; micro revision tunes weights for better easy-task accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6172
Venue
SIGMOD
Year
2021
Pagerank
4.530141e-05
Overall Rank
8,386 | 41.67%
DOI
10.1145/3448016.3457281

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