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title:(Deep AND Learning AND from AND Crowds)

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1 Preprint article

Deep learning from crowds

networks from crowds. We begin by describing an EM algorithm for jointly learning the parameters of the network and the reliabilities of the annotators. Then, a novel general-purpose crowd layer is proposed, which allows us to train deep neural networks end-to-end, directly from the noisy labels

Year: 2017

Language: Undetermined

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2 Journal article

Deep Learning from Crowds

Year: 2018

Language: Undetermined

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3 Conference paper

Deep Learning from Crowds

Rodrigues, Filipe; Pereira, Francisco Camara

Proceedings of the Thirty-second Aaai Conference on Artificial Intelligence (aaai-18) — 2018, pp. 1611-1618

networks from crowds. We begin by describing an EM algorithm for jointly learning the parameters of the network and the reliabilities of the annotators. Then, a novel general-purpose crowd layer is proposed, which allows us to train deep neural networks end-to-end, directly from the noisy labels

Year: 2018

Language: English

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