VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-Supervised Learning

Cite

Text

Fang et al. "VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-Supervised Learning." International Joint Conference on Artificial Intelligence, 2024.

Markdown

[Fang et al. "VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-Supervised Learning." International Joint Conference on Artificial Intelligence, 2024.](https://mlanthology.org/ijcai/2024/fang2024ijcai-vcc/)

BibTeX

@inproceedings{fang2024ijcai-vcc,
  title     = {{VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-Supervised Learning}},
  author    = {Fang, Shijie and Feng, Qianhan and Lin, Tong},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {3953-3961},
  url       = {https://mlanthology.org/ijcai/2024/fang2024ijcai-vcc/}
}