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Quantile Regularization: Towards Implicit Calibration of Regression
  Models

Quantile Regularization: Towards Implicit Calibration of Regression Models

28 February 2020
Saiteja Utpala
Piyush Rai
    UQCV
ArXivPDFHTML

Papers citing "Quantile Regularization: Towards Implicit Calibration of Regression Models"

3 / 3 papers shown
Title
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for
  Uncertainty-Aware Multimodal Emotion Recognition
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition
M. Tellamekala
Shahin Amiriparian
Björn W. Schuller
Elisabeth André
T. Giesbrecht
M. Valstar
23
25
0
12 Jun 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1