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Showing 1 to 1 of 1 for “"Learning from noisy labels"”.

  1. Learning to classify images without explicit human annotations

    … first collecting examples along with candidate labels, second obtaining clean labels from workers, and third training a large, overparameterized deep neural network on the clean examples. The second, manual labeling step is often the most expensive one as it requires manually going through all …

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