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2203.08295
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Self-Distribution Distillation: Efficient Uncertainty Estimation
15 March 2022
Yassir Fathullah
Mark J. F. Gales
UQCV
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Papers citing
"Self-Distribution Distillation: Efficient Uncertainty Estimation"
10 / 10 papers shown
Title
Applications of Knowledge Distillation in Remote Sensing: A Survey
Yassine Himeur
N. Aburaed
O. Elharrouss
Iraklis Varlamis
Shadi Atalla
W. Mansoor
Hussain Al Ahmad
45
4
0
18 Sep 2024
Uncertainty Estimation by Density Aware Evidential Deep Learning
Taeseong Yoon
Heeyoung Kim
EDL
UQCV
39
1
0
13 Sep 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
Maohao Shen
Jeonghun Ryu
Soumya Ghosh
Yuheng Bu
P. Sattigeri
Subhro Das
Greg Wornell
EDL
BDL
UQCV
36
2
0
09 Feb 2024
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties
Yassir Fathullah
Guoxuan Xia
Mark J. F. Gales
UQCV
27
2
0
17 May 2023
Who Needs Decoders? Efficient Estimation of Sequence-level Attributes
Yassir Fathullah
Puria Radmard
Adian Liusie
Mark J. F. Gales
OODD
24
1
0
09 May 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models
Guoxuan Xia
C. Bouganis
UQCV
52
12
0
14 Mar 2023
Hyperbolic Uncertainty Aware Semantic Segmentation
Bike Chen
Wei Peng
Xiaofeng Cao
Juha Roning
UQCV
21
15
0
16 Mar 2022
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
Dennis Ulmer
Christian Hardmeier
J. Frellsen
BDL
UQCV
UD
EDL
PER
48
48
0
06 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1