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Doubly Robust Self-Training

Self-training is an important technique for solving semi-supervised learning problems. It leverages unlabeled data by generating pseudo-labels and combining them with a limited labeled dataset for training.

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Cite this as

Banghua Zhu, Mingyu Ding, Philip Jacobson, Ming Wu, Wei Zhan, Michael I. Jordan, Jiantao Jiao (2024). Dataset: Doubly Robust Self-Training. https://doi.org/10.57702/0l7r71c3

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2306.00265
Author	Banghua Zhu
More Authors	Mingyu Ding Philip Jacobson Ming Wu Wei Zhan Michael I. Jordan Jiantao Jiao