Data Distillation: Towards Omni-Supervised Learning

computer vision and pattern recognition, 2018.

Cited by: 158|Bibtex|Views381|DOI:https://doi.org/10.1109/cvpr.2018.00433
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

We investigate omni-supervised learning, a special regime of semi-supervised learning in which the learner exploits all available labeled data plus internet-scale sources of unlabeled data. Omni-supervised learning is lower-bounded by performance on existing labeled datasets, offering the potential to surpass state-of-the-art fully superv...More

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