Corpus ID: 15908955

Learning from the Wisdom of Crowds by Minimax Entropy

@inproceedings{Zhou2012LearningFT,
  title={Learning from the Wisdom of Crowds by Minimax Entropy},
  author={Dengyong Zhou and John C. Platt and Sumit Basu and Yi Mao},
  booktitle={NIPS},
  year={2012}
}
  • Dengyong Zhou, John C. Platt, +1 author Yi Mao
  • Published in NIPS 2012
  • Mathematics, Computer Science
  • An important way to make large training sets is to gather noisy labels from crowds of nonexperts. We propose a minimax entropy principle to improve the quality of these labels. Our method assumes that labels are generated by a probability distribution over workers, items, and labels. By maximizing the entropy of this distribution, the method naturally infers item confusability and worker expertise. We infer the ground truth by minimizing the entropy of this distribution, which we show minimizes… CONTINUE READING
    291 Citations
    Regularized Minimax Conditional Entropy for Crowdsourcing
    • 52
    • PDF
    Approximating Wisdom of Crowds using K-RBMs
    • A. Gupta
    • Computer Science, Mathematics
    • ArXiv
    • 2016
    • Highly Influenced
    • PDF
    2 Ordinal Label Aggregation by Minimax Conditional Entropy
    • PDF
    Minimax Optimal Convergence Rates for Estimating Ground Truth from Crowdsourced Labels
    • 49
    • PDF
    Optimal Inference in Crowdsourced Classification via Belief Propagation
    • 1
    • PDF
    A robust inference algorithm for crowd sourced categorization
    • 2
    Boosting crowdsourcing with expert labels: Local vs. global effects
    • 3
    • PDF

    References

    SHOWING 1-10 OF 20 REFERENCES
    Learning From Crowds
    • 1,080
    • Highly Influential
    • PDF
    Vox Populi: Collecting High-Quality Labels from a Crowd
    • 149
    • PDF
    Iterative Learning for Reliable Crowdsourcing Systems
    • 268
    • PDF
    Approximating the Wisdom of the Crowd
    • 12
    • PDF
    The Multidimensional Wisdom of Crowds
    • 707
    • PDF
    Combining human and machine intelligence in large-scale crowdsourcing
    • 318
    • PDF
    Quality management on Amazon Mechanical Turk
    • 915
    • Highly Influential
    Boosting and Maximum Likelihood for Exponential Models
    • 183
    • PDF
    Unifying Divergence Minimization and Statistical Inference Via Convex Duality
    • 120
    • PDF