ORID KJq0iScNM6 · tags icml2026-repro paper-KJq0iScNM6
| # | Status | Page | Artifact | Claim excerpt |
|---|---|---|---|---|
| 1 | VERIFIED 2/2 | 01-ptbcc-prototype-driven-bayesian-classifier-combi | artifact | PTBCC (Prototype-driven Bayesian Classifier Combination) models annotators via a… |
| 2 | VERIFIED 2/2 | 02-ptbcc-accuracy-improvement-best-baseline | artifact | PTBCC achieves up to 15% accuracy improvement over the best baseline in its best… |
| 3 | VERIFIED 2/2 | 03-across-real-world-crowdsourcing-datasets-ptbcc | artifact | Across 11 real-world crowdsourcing datasets, PTBCC attains an average accuracy o… |
| 4 | VERIFIED 2/2 | 04-ptbcc-ablation-prototype-set-size | artifact | PTBCC's ablation over prototype set size |S| shows accuracy peaking at |S|=2 (0.… |
| 5 | VERIFIED 2/2 | 05-ptbcc-uses-computational-cost-confusion-matrix-b | artifact | PTBCC uses less than 10% of the computational cost of confusion-matrix-based bas… |