Improved Trainable Calibration Method for Neural Networks.

Gongbo Liang; Yu Zhang; Xiaoqin Wang; Nathan Jacobs

Improved Trainable Calibration Method for Neural Networks.

Gongbo Liang
, Yu Zhang
, Xiaoqin Wang
, Nathan Jacobs

Producción científica: Conference contribution › revisión exhaustiva

Idioma original	Undefined/Unknown
Título de la publicación alojada	BMVC
Estado	Published - 2020

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DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

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@inproceedings{29d223435bcd45678a2f0f1d86b9ecd6,

title = "Improved Trainable Calibration Method for Neural Networks.",

author = "Gongbo Liang and Yu Zhang and Xiaoqin Wang and Nathan Jacobs",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2020",

language = "Undefined/Unknown",

booktitle = "BMVC",

}

TY - GEN

T1 - Improved Trainable Calibration Method for Neural Networks.

AU - Liang, Gongbo

AU - Zhang, Yu

AU - Wang, Xiaoqin

AU - Jacobs, Nathan

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2020

Y1 - 2020

M3 - Conference contribution

BT - BMVC

ER -