Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data
收藏DataCite Commons2025-01-03 更新2025-04-16 收录
下载链接：
https://service.tib.eu/ldmservice/dataset/1f07eb9f-2b45-4f89-88ba-cf91fbcfcf08
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资源简介：
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.
提供机构：
TIB
创建时间：
2025-01-03
