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Can You Trust Your Model's Uncertainty? Evaluating Predictive
  Uncertainty Under Dataset Shift
v1v2 (latest)

Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

6 June 2019
Yaniv Ovadia
Emily Fertig
Jie Jessie Ren
Zachary Nado
D. Sculley
Sebastian Nowozin
Joshua V. Dillon
Balaji Lakshminarayanan
Jasper Snoek
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift"

50 / 1,062 papers shown
Title
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for
  Classifying Common Mental Illnesses on Social Media Posts
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts
Pratinav Seth
Mihir Agarwal
AI4MH
60
1
0
10 Apr 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution
  uncertainty quantification
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
OODUQCV
70
3
0
08 Apr 2023
ASPEST: Bridging the Gap Between Active Learning and Selective
  Prediction
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Jiefeng Chen
Jinsung Yoon
Sayna Ebrahimi
Sercan O. Arik
S. Jha
Tomas Pfister
106
1
0
07 Apr 2023
Source-free Domain Adaptation Requires Penalized Diversity
Source-free Domain Adaptation Requires Penalized Diversity
Laya Rafiee Sevyeri
Ivaxi Sheth
Farhood Farahnak
Alexandre See
Samira Ebrahimi Kahou
T. Fevens
Mohammad Havaei
TTA
53
0
0
06 Apr 2023
Multi-annotator Deep Learning: A Probabilistic Framework for
  Classification
Multi-annotator Deep Learning: A Probabilistic Framework for Classification
M. Herde
Denis Huseljic
Bernhard Sick
80
9
0
05 Apr 2023
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep
  Neural Networks
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks
Michael Weiss
Paolo Tonella
AI4CE
54
0
0
05 Apr 2023
Uncertainty estimation in Deep Learning for Panoptic segmentation
Uncertainty estimation in Deep Learning for Panoptic segmentation
Michael J. Smith
F. Ferrie
OODUQCV
65
0
0
04 Apr 2023
Incorporating Unlabelled Data into Bayesian Neural Networks
Incorporating Unlabelled Data into Bayesian Neural Networks
Mrinank Sharma
Tom Rainforth
Yee Whye Teh
Vincent Fortuin
SSLUQCVBDL
98
10
0
04 Apr 2023
Uncertainty Propagation in Node Classification
Uncertainty Propagation in Node Classification
Zhao Xu
Carolin (Haas) Lawrence
Ammar Shaker
Raman Siarheyeu
BDLUQCV
138
2
0
03 Apr 2023
Towards Reliable Uncertainty Quantification via Deep Ensembles in
  Multi-output Regression Task
Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task
Sunwoong Yang
K. Yee
UQCV
88
6
0
28 Mar 2023
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Haoxuan Che
Si Chen
Haoxing Chen
89
16
0
27 Mar 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban
  Computing: A Survey
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
G. Jin
Yuxuan Liang
Yuchen Fang
Zezhi Shao
Jincai Huang
Junbo Zhang
Yu Zheng
AI4TSAI4CE
138
209
0
25 Mar 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating
  Object Detection
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
Muhammad Akhtar Munir
Muhammad Haris Khan
Salman Khan
Fahad Shahbaz Khan
UQCV
86
15
0
25 Mar 2023
Collaborative Multi-Object Tracking with Conformal Uncertainty
  Propagation
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation
Sanbao Su
Songyang Han
Yiming Li
Zhili Zhang
Chen Feng
Caiwen Ding
Fei Miao
VOT
110
26
0
25 Mar 2023
A Survey of Historical Learning: Learning Models with Learning History
A Survey of Historical Learning: Learning Models with Learning History
Xiang Li
Ge Wu
Lingfeng Yang
Wenzhe Wang
Renjie Song
Jian Yang
MUAI4TS
103
2
0
23 Mar 2023
Human Uncertainty in Concept-Based AI Systems
Human Uncertainty in Concept-Based AI Systems
Katherine M. Collins
Matthew Barker
M. Zarlenga
Naveen Raman
Umang Bhatt
M. Jamnik
Ilia Sucholutsky
Adrian Weller
Krishnamurthy Dvijotham
113
41
0
22 Mar 2023
Reliability in Semantic Segmentation: Are We on the Right Track?
Reliability in Semantic Segmentation: Are We on the Right Track?
Pau de Jorge
Riccardo Volpi
Philip Torr
Grégory Rogez
UQCV
65
21
0
20 Mar 2023
Uncertainty-aware U-Net for Medical Landmark Detection
Uncertainty-aware U-Net for Medical Landmark Detection
Ziyang Ye
Haiyang Yu
Bin Li
33
2
0
18 Mar 2023
Unleashing the Potential of Spiking Neural Networks by Dynamic
  Confidence
Unleashing the Potential of Spiking Neural Networks by Dynamic Confidence
Chen Li
Edward Jones
Steve Furber
75
19
0
17 Mar 2023
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic
  Segmentation
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation
S. Landgraf
Kira Wursthorn
Markus Hillemann
Markus Ulrich
UQCV
57
11
0
17 Mar 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep
  Ensembles are More Efficient than Single Models
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models
Guoxuan Xia
C. Bouganis
UQCV
113
12
0
14 Mar 2023
Trust your neighbours: Penalty-based constraints for model calibration
Trust your neighbours: Penalty-based constraints for model calibration
Balamurali Murugesan
V. SukeshAdiga
Bingyuan Liu
H. Lombaert
Ismail Ben Ayed
Jose Dolz
UQCV
86
10
0
11 Mar 2023
Uncertainty quantification in neural network classifiers -- a local
  linear approach
Uncertainty quantification in neural network classifiers -- a local linear approach
Magnus Malmström
Isaac Skog
Daniel Axehill
Fredrik K. Gustafsson
UQCV
60
1
0
10 Mar 2023
Training, Architecture, and Prior for Deterministic Uncertainty Methods
Training, Architecture, and Prior for Deterministic Uncertainty Methods
Bertrand Charpentier
Chenxiang Zhang
Stephan Günnemann
UQCVOODAI4CE
95
7
0
10 Mar 2023
Adaptive Calibrator Ensemble for Model Calibration under Distribution
  Shift
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift
Yu-Hui Zou
Weijian Deng
Liang Zheng
OODD
32
2
0
09 Mar 2023
Scalable Stochastic Gradient Riemannian Langevin Dynamics in
  Non-Diagonal Metrics
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics
Hanlin Yu
M. Hartmann
Bernardo Williams
Arto Klami
BDL
75
6
0
09 Mar 2023
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in
  Transfer Learning
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning
Ildus Sadrtdinov
Dmitrii Pozdeev
Dmitry Vetrov
E. Lobacheva
93
6
0
06 Mar 2023
Rethinking Confidence Calibration for Failure Prediction
Rethinking Confidence Calibration for Failure Prediction
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
UQCV
91
41
0
06 Mar 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via
  Opposing Symmetries
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
Charlotte Loh
Seung-Jun Han
Shivchander Sudalairaj
Rumen Dangovski
Kai Xu
F. Wenzel
Marin Soljacic
Akash Srivastava
UQCV
85
1
0
04 Mar 2023
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration
  Measure
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
Hee Suk Yoon
Joshua Tian Jin Tee
Eunseop Yoon
Sunjae Yoon
G. Kim
Yingzhen Li
Changdong Yoo
UQCVMQ
60
11
0
04 Mar 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep
  Learning
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
Danruo Deng
Guangyong Chen
Yang Yu
Fu-Lun Liu
Pheng-Ann Heng
EDLUQCVFedML
126
47
0
03 Mar 2023
Safe AI for health and beyond -- Monitoring to transform a health
  service
Safe AI for health and beyond -- Monitoring to transform a health service
Mahed Abroshan
Michael C. Burkhart
Oscar Giles
Sam F. Greenbury
Zoe Kourtzi
Jack Roberts
M. Schaar
Jannetta S. Steyn
Alan Wilson
M. Yong
45
1
0
02 Mar 2023
Multi-Head Multi-Loss Model Calibration
Multi-Head Multi-Loss Model Calibration
Adrian Galdran
Johan Verjans
G. Carneiro
M. A. G. Ballester
UQCV
66
7
0
02 Mar 2023
A Survey on Uncertainty Quantification Methods for Deep Learning
A Survey on Uncertainty Quantification Methods for Deep Learning
Wenchong He
Zhe Jiang
Tingsong Xiao
Zelin Xu
Yukun Li
BDLUQCVAI4CE
193
24
0
26 Feb 2023
Deep active learning for nonlinear system identification
Deep active learning for nonlinear system identification
E. Lundby
Adil Rasheed
I. Halvorsen
D. Reinhardt
S. Gros
J. Gravdahl
57
2
0
24 Feb 2023
Variational Linearized Laplace Approximation for Bayesian Deep Learning
Variational Linearized Laplace Approximation for Bayesian Deep Learning
Luis A. Ortega
Simón Rodríguez Santana
Daniel Hernández-Lobato
BDLUQCV
135
4
0
24 Feb 2023
Distributionally Robust Recourse Action
Distributionally Robust Recourse Action
D. Nguyen
Ngoc H. Bui
Viet Anh Nguyen
92
8
0
22 Feb 2023
What Are Effective Labels for Augmented Data? Improving Calibration and
  Robustness with AutoLabel
What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel
Yao Qin
Xuezhi Wang
Balaji Lakshminarayanan
Ed H. Chi
Alex Beutel
UQCV
69
5
0
22 Feb 2023
Likelihood Annealing: Fast Calibrated Uncertainty for Regression
Likelihood Annealing: Fast Calibrated Uncertainty for Regression
Uddeshya Upadhyay
Jae Myung Kim
Cordelia Schmidt
Bernhard Schölkopf
Zeynep Akata
BDLUQCV
91
1
0
21 Feb 2023
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation
  in Natural Language Generation
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
Lorenz Kuhn
Y. Gal
Sebastian Farquhar
UQLM
233
313
0
19 Feb 2023
Competent but Rigid: Identifying the Gap in Empowering AI to Participate
  Equally in Group Decision-Making
Competent but Rigid: Identifying the Gap in Empowering AI to Participate Equally in Group Decision-Making
Chengbo Zheng
Yuheng Wu
Chuhan Shi
Shuai Ma
Jiehui Luo
Xiaojuan Ma
90
28
0
17 Feb 2023
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
Jaeyoung Kim
Dongbin Na
Sungchul Choi
Sungbin Lim
VLM
85
5
0
13 Feb 2023
Probabilistic Circuits That Know What They Don't Know
Probabilistic Circuits That Know What They Don't Know
Fabrizio G. Ventola
Steven Braun
Zhongjie Yu
Martin Mundt
Kristian Kersting
UQCVTPM
63
7
0
13 Feb 2023
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
OODUQCV
185
6
0
13 Feb 2023
Calibrating a Deep Neural Network with Its Predecessors
Calibrating a Deep Neural Network with Its Predecessors
Linwei Tao
Minjing Dong
Daochang Liu
Changming Sun
Chang Xu
BDLUQCV
60
5
0
13 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective
  Self-play
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
J. Liu
Krishnamurthy Dvijotham
Jihyeon Janel Lee
Quan Yuan
Martin Strobel
Balaji Lakshminarayanan
Deepak Ramachandran
75
5
0
11 Feb 2023
Verifying Generalization in Deep Learning
Verifying Generalization in Deep Learning
Guy Amir
Osher Maayan
Tom Zelazny
Guy Katz
Michael Schapira
AAMLAI4CE
81
14
0
11 Feb 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
Christian Tomani
Futa Waseda
Yuesong Shen
Daniel Cremers
UQCV
54
5
0
10 Feb 2023
Confidence-based Reliable Learning under Dual Noises
Confidence-based Reliable Learning under Dual Noises
Peng Cui
Yang Yue
Zhijie Deng
Jun Zhu
NoLa
40
8
0
10 Feb 2023
A Benchmark on Uncertainty Quantification for Deep Learning Prognostics
A Benchmark on Uncertainty Quantification for Deep Learning Prognostics
Luis Basora
Arthur Viens
M. A. Chao
X. Olive
UQCVBDLOOD
96
11
0
09 Feb 2023
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