Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael C. Mozer, Becca Roelofs. Soft Calibration Objectives for Neural Networks. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 29768-29779, 2021. [doi]
@inproceedings{KarandikarCTLSM21,
title = {Soft Calibration Objectives for Neural Networks},
author = {Archit Karandikar and Nicholas Cain and Dustin Tran and Balaji Lakshminarayanan and Jonathon Shlens and Michael C. Mozer and Becca Roelofs},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/f8905bd3df64ace64a68e154ba72f24c-Abstract.html},
researchr = {https://researchr.org/publication/KarandikarCTLSM21},
cites = {0},
citedby = {0},
pages = {29768-29779},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}