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Decoupling Feature Extraction and Classification Layers for Calibrated
  Neural Networks

Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks

2 May 2024
Mikkel Jordahn
Pablo Olmos
ArXivPDFHTML

Papers citing "Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks"

3 / 3 papers shown
Title
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration
Jiani Ni
He Zhao
Jintong Gao
Dandan Guo
H. Zha
32
0
0
14 Apr 2025
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
282
9,136
0
06 Jun 2015
1