The Majority Vote Paradigm Shift: When Popular Meets Optimal

arXiv:2502.12581 · stat.ML, cs.AI, cs.LG · Submitted 2025-02-18 · Read on arXiv

stat.ML, cs.AI, cs.LG

Submitted: 2025-02-18

Updated: 2026-02-13

Code: https://github.com/amazon-science/majority_vote_

Project page: https://orchidproject.github.io/active-crowd-toolkit/5https://dbgroup.cs.tsinghua.edu.cn/ligl/crowddata/4

Terminology

• Aggregation — 26× in this paper · explained in 1 episode
• Majority Vote — 23× in this paper
• Accuracy — 17× in this paper · explained in 1 episode
• Verification — 9× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Active Learning — 1× in this paper · explained in 6 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• True Positive Rate — 1× in this paper
• Verifiability — 1× in this paper · explained in 2 episodes

Sources

• Error Rate Bounds and Iterative Weighted Majority Voting for Crowdsourcing

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