Yang Yu, Danruo Deng, Furui Liu, Qi Dou 0001, Yueming Jin, Guangyong Chen, Pheng-Ann Heng. ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning. In Michael J. Wooldridge, Jennifer G. Dy, Sriraam Natarajan, editors, Thirty-Eigth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada. pages 16587-16595, AAAI Press, 2024. [doi]
@inproceedings{YuDL0JCH24,
title = {ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning},
author = {Yang Yu and Danruo Deng and Furui Liu and Qi Dou 0001 and Yueming Jin and Guangyong Chen and Pheng-Ann Heng},
year = {2024},
doi = {10.1609/aaai.v38i15.29597},
url = {https://doi.org/10.1609/aaai.v38i15.29597},
researchr = {https://researchr.org/publication/YuDL0JCH24},
cites = {0},
citedby = {0},
pages = {16587-16595},
booktitle = {Thirty-Eigth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada},
editor = {Michael J. Wooldridge and Jennifer G. Dy and Sriraam Natarajan},
publisher = {AAAI Press},
}