Chihuang Liu, Joseph F. JáJá. Class-Similarity Based Label Smoothing for Confidence Calibration. In Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV. Volume 12894 of Lecture Notes in Computer Science, pages 190-201, Springer, 2021. [doi]
@inproceedings{LiuJ21-15,
title = {Class-Similarity Based Label Smoothing for Confidence Calibration},
author = {Chihuang Liu and Joseph F. JáJá},
year = {2021},
doi = {10.1007/978-3-030-86380-7_16},
url = {https://doi.org/10.1007/978-3-030-86380-7_16},
researchr = {https://researchr.org/publication/LiuJ21-15},
cites = {0},
citedby = {0},
pages = {190-201},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV},
editor = {Igor Farkas and Paolo Masulli and Sebastian Otte and Stefan Wermter},
volume = {12894},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-86380-7},
}