Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful - researchr publication authors

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Jingge Zhu. Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful. In Ryan P. Adams, Vibhav Gogate, editors, Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, UAI 2020, virtual online, August 3-6, 2020. pages 304, AUAI Press, 2020. [doi]

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