关注
Hugo Siqueira Gomes
Hugo Siqueira Gomes
在 ulaval.ca 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Attended temperature scaling: a practical approach for calibrating deep neural networks
AS Mozafari, HS Gomes, W Leão, S Janny, C Gagné
arXiv preprint arXiv:1810.11586, 2018
302018
Meta learning black-box population-based optimizers
HS Gomes, B Léger, C Gagné
arXiv preprint arXiv:2103.03526, 2021
102021
A new loss function for temperature scaling to have better calibrated deep networks
AS Mozafari, HS Gomes, S Janny, C Gagné
arXiv preprint arXiv:1810.11586, 2018
72018
Unsupervised temperature scaling: An unsupervised post-processing calibration method of deep networks
AS Mozafari, HS Gomes, W Leão, C Gagné
arXiv preprint arXiv:1905.00174, 2019
62019
Unsupervised temperature scaling: Post-processing unsupervised calibration of deep models decisions
AS Mozafari, HS Gomes, W Leão, C Gagné
arXiv preprint arXiv:1905.00174 3, 2019
22019
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift
AS Mozafari, HS Gomes, C Gagné
arXiv preprint arXiv:1911.11195, 2019
12019
Unsupervised Temperature Scaling: Robust Post-processing Calibration for Domain Shift
AS Mozafari, HS Gomes, C Gagne
12019
Meta Learning Black-Box Population-Based Optimizers
H Siqueira Gomes, B Léger, C Gagné
arXiv e-prints, arXiv: 2103.03526, 2021
2021
Meta learning for population-based algorithms in black-box optimization
H Siqueira Gomes
2021
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift
A Sadat Mozafari, H Siqueira Gomes, C Gagne
arXiv e-prints, arXiv: 1911.11195, 2019
2019
Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks
A Sadat Mozafari, H Siqueira Gomes, W Leão, S Janny, C Gagné
arXiv e-prints, arXiv: 1810.11586, 2018
2018
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