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Evaluating and Calibrating Uncertainty Prediction in Regression Tasks

Evaluating and Calibrating Uncertainty Prediction in Regression Tasks

28 May 2019
Dan Levi
Liran Gispan
Niv Giladi
Ethan Fetaya
    UQCV
ArXivPDFHTML

Papers citing "Evaluating and Calibrating Uncertainty Prediction in Regression Tasks"

14 / 14 papers shown
Title
Tailoring Mixup to Data for Calibration
Tailoring Mixup to Data for Calibration
Quentin Bouniot
Pavlo Mozharovskyi
Florence dÁlché-Buc
92
1
0
02 Nov 2023
Distribution Calibration for Regression
Distribution Calibration for Regression
Hao Song
Tom Diethe
Meelis Kull
Peter A. Flach
UQCV
130
110
0
15 May 2019
Calibrating Uncertainties in Object Localization Task
Calibrating Uncertainties in Object Localization Task
Buu Phan
Rick Salay
Krzysztof Czarnecki
Vahdat Abdelzad
Taylor Denouden
Sachin Vernekar
UQCV
52
22
0
27 Nov 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Volodymyr Kuleshov
Nathan Fenner
Stefano Ermon
BDL
UQCV
160
626
0
01 Jul 2018
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural
  Network For Lidar 3D Vehicle Detection
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection
Di Feng
Lars Rosenbaum
Klaus C. J. Dietmayer
3DPC
UQCV
62
244
0
13 Apr 2018
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
226
5,774
0
14 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
317
4,667
0
15 Mar 2017
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
564
5,748
0
05 Dec 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai
Yi Li
Kaiming He
Jian Sun
ObjD
133
5,627
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
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
550
9,233
0
06 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
284
24,976
0
30 Apr 2015
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE
3DPC
3DV
177
4,041
0
09 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
340
43,290
0
01 May 2014
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