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Density-Regression: Efficient and Distance-Aware Deep Regressor for
  Uncertainty Estimation under Distribution Shifts

Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts

7 March 2024
H. Bui
Anqi Liu
    OOD
    BDL
    UQCV
ArXivPDFHTML

Papers citing "Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts"

9 / 9 papers shown
Title
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits
H. Bui
Enrique Mallada
Anqi Liu
135
0
0
08 Nov 2024
A Decision-driven Methodology for Designing Uncertainty-aware AI
  Self-Assessment
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment
Charles Oredola
Vladimir Leung
Adnan Ashraf
Eric Heim
I-Jeng Wang
46
1
0
02 Aug 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
Wataru Hashimoto
Hidetaka Kamigaito
Taro Watanabe
60
0
0
02 Jul 2024
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation
  and Robustness under Distribution Shifts
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
H. Bui
Anqi Liu
OOD
UQCV
23
6
0
13 Feb 2023
Nonparametric Uncertainty Quantification for Single Deterministic Neural
  Network
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
Nikita Kotelevskii
A. Artemenkov
Kirill Fedyanin
Fedor Noskov
Alexander Fishkov
Artem Shelmanov
Artem Vazhentsev
Aleksandr Petiushko
Maxim Panov
UQCV
BDL
56
25
0
07 Feb 2022
Correlated Input-Dependent Label Noise in Large-Scale Image
  Classification
Correlated Input-Dependent Label Noise in Large-Scale Image Classification
Mark Collier
Basil Mustafa
Efi Kokiopoulou
Rodolphe Jenatton
Jesse Berent
NoLa
181
53
0
19 May 2021
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
5,675
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
9,145
0
06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
336
75,888
0
18 May 2015
1