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Improving Confidence Estimates for Unfamiliar Examples

Improving Confidence Estimates for Unfamiliar Examples

9 April 2018
Zhizhong Li
Derek Hoiem
ArXivPDFHTML

Papers citing "Improving Confidence Estimates for Unfamiliar Examples"

7 / 7 papers shown
Title
Angular Visual Hardness
Angular Visual Hardness
Beidi Chen
Weiyang Liu
Zhiding Yu
Jan Kautz
Anshumali Shrivastava
Animesh Garg
Anima Anandkumar
AAML
43
51
0
04 Dec 2019
Efficient Evaluation-Time Uncertainty Estimation by Improved
  Distillation
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation
Erik Englesson
Hossein Azizpour
UQCV
19
8
0
12 Jun 2019
Ensemble Distribution Distillation
Ensemble Distribution Distillation
A. Malinin
Bruno Mlodozeniec
Mark Gales
UQCV
27
231
0
30 Apr 2019
OMNIA Faster R-CNN: Detection in the wild through dataset merging and
  soft distillation
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation
Alexandre Ramé
Emilien Garreau
H. Ben-younes
Charles Ollion
ObjD
43
17
0
06 Dec 2018
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
276
5,683
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
287
9,156
0
06 Jun 2015
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
186
1,186
0
30 Nov 2014
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