Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data

Paucity of large curated hand-labeled training data for every domain-of-interest forms a major bottleneck in the deployment of machine learning models in computer vision and other fields.

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Arghya Pal, Vineeth N Balasubramanian (2025). Dataset: Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data. https://doi.org/10.57702/35l4234u

DOI retrieved: January 3, 2025

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Created January 3, 2025
Last update January 3, 2025
Defined In https://doi.org/10.48550/arXiv.1803.05137
Author Arghya Pal
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Vineeth N Balasubramanian
Homepage https://arxiv.org/abs/1806.09568