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Improving the Reliability for Confidence Estimation

Improving the Reliability for Confidence Estimation

13 October 2022
Haoxuan Qu
Yanchao Li
Lin Geng Foo
Jason Kuen
Jiuxiang Gu
Jun Liu
    UQCV
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Papers citing "Improving the Reliability for Confidence Estimation"

10 / 10 papers shown
Title
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure
  Detection and Explanation
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation
Rakshith Subramanyam
Kowshik Thopalli
V. Narayanaswamy
Jayaraman J.Thiagarajan
27
2
0
01 Aug 2024
LMC: Large Model Collaboration with Cross-assessment for Training-Free
  Open-Set Object Recognition
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition
Haoxuan Qu
Xiaofei Hui
Yujun Cai
Jun Liu
46
10
0
22 Sep 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty
  Quantification on Regression
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
Xuanlong Yu
Gianni Franchi
Jindong Gu
Emanuel Aldea
UQCV
16
4
0
17 Aug 2023
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Mochu Xiang
Jing Zhang
Nick Barnes
Yuchao Dai
UQCV
45
3
0
19 Jul 2023
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation
Li Xu
Haoxuan Qu
Jason Kuen
Jiuxiang Gu
Jun Liu
CML
27
27
0
23 Jul 2022
Identifying Incorrect Classifications with Balanced Uncertainty
Identifying Incorrect Classifications with Balanced Uncertainty
Bolian Li
Zige Zheng
Changqing Zhang
UQCV
20
2
0
15 Oct 2021
Gradient Matching for Domain Generalization
Gradient Matching for Domain Generalization
Yuge Shi
Jeffrey S. Seely
Philip H. S. Torr
Siddharth Narayanaswamy
Awni Y. Hannun
Nicolas Usunier
Gabriel Synnaeve
OOD
216
246
0
20 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 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
276
5,661
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
9,138
0
06 Jun 2015
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