Xujiang Zhao, KrishnaTeja Killamsetty, Rishabh K. Iyer, Feng Chen 0001. How Out-of-Distribution Data Hurts Semi-Supervised Learning. In Xingquan Zhu 0001, Sanjay Ranka, My T. Thai, Takashi Washio, Xindong Wu 0001, editors, IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022. pages 763-772, IEEE, 2022. [doi]
@inproceedings{ZhaoKI022,
title = {How Out-of-Distribution Data Hurts Semi-Supervised Learning},
author = {Xujiang Zhao and KrishnaTeja Killamsetty and Rishabh K. Iyer and Feng Chen 0001},
year = {2022},
doi = {10.1109/ICDM54844.2022.00087},
url = {https://doi.org/10.1109/ICDM54844.2022.00087},
researchr = {https://researchr.org/publication/ZhaoKI022},
cites = {0},
citedby = {0},
pages = {763-772},
booktitle = {IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022},
editor = {Xingquan Zhu 0001 and Sanjay Ranka and My T. Thai and Takashi Washio and Xindong Wu 0001},
publisher = {IEEE},
isbn = {978-1-6654-5099-7},
}