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

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
ArXivPDFHTML

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

50 / 1,042 papers shown
Title
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline
  Reinforcement Learning
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning
Chenjia Bai
Lingxiao Wang
Jianye Hao
Zhuoran Yang
Bin Zhao
Zhen Wang
Xuelong Li
OffRL
37
9
0
30 Apr 2024
Out-of-distribution Detection in Medical Image Analysis: A survey
Out-of-distribution Detection in Medical Image Analysis: A survey
Zesheng Hong
Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
...
Jialong Xu
Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
OOD
45
5
0
28 Apr 2024
The Over-Certainty Phenomenon in Modern UDA Algorithms
The Over-Certainty Phenomenon in Modern UDA Algorithms
Fin Amin
Jung-Eun Kim
40
0
0
24 Apr 2024
FedSI: Federated Subnetwork Inference for Efficient Uncertainty
  Quantification
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification
Hui Chen
Hengyu Liu
Zhangkai Wu
Xuhui Fan
LongBing Cao
FedML
33
2
0
24 Apr 2024
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted
  ensembles
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles
N. Ghanathe
Steve Wilton
UQCV
42
0
0
19 Apr 2024
Variational Bayesian Last Layers
Variational Bayesian Last Layers
James Harrison
John Willes
Jasper Snoek
BDL
UQCV
63
24
0
17 Apr 2024
Awareness of uncertainty in classification using a multivariate model
  and multi-views
Awareness of uncertainty in classification using a multivariate model and multi-views
Alexey Kornaev
E. Kornaeva
Oleg Ivanov
Ilya S. Pershin
Danis Alukaev
UQCV
EDL
44
0
0
16 Apr 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Rishabh Ranjan
Saurabh Garg
Mrigank Raman
Carlos Guestrin
Zachary Chase Lipton
42
0
0
11 Apr 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for
  Robot Manipulation
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation
Carlos Plou
Ana C. Murillo
Ruben Martinez-Cantin
OffRL
40
0
0
02 Apr 2024
On Uncertainty Quantification for Near-Bayes Optimal Algorithms
On Uncertainty Quantification for Near-Bayes Optimal Algorithms
Ziyu Wang
Chris Holmes
UQCV
44
2
0
28 Mar 2024
"We Have No Idea How Models will Behave in Production until Production":
  How Engineers Operationalize Machine Learning
"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning
Shreya Shankar
Rolando Garcia
J. M. Hellerstein
Aditya G. Parameswaran
27
10
0
25 Mar 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Lingdong Kong
Xiang Xu
Jun Cen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
53
5
0
25 Mar 2024
ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer
ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer
Hiroki Azuma
Yusuke Matsui
Atsuto Maki
VLM
39
1
0
20 Mar 2024
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
Anh-Vu Bui
Vy Vo
Tung Pham
Dinh Q. Phung
Trung Le
FedML
UQCV
37
1
0
19 Mar 2024
Posterior Uncertainty Quantification in Neural Networks using Data
  Augmentation
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
Luhuan Wu
Sinead Williamson
UQCV
43
6
0
18 Mar 2024
Explainability through uncertainty: Trustworthy decision-making with
  neural networks
Explainability through uncertainty: Trustworthy decision-making with neural networks
Arthur Thuy
Dries F. Benoit
46
13
0
15 Mar 2024
Uncertainty Quantification with Deep Ensembles for 6D Object Pose
  Estimation
Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation
Kira Wursthorn
Markus Hillemann
Markus Ulrich
30
8
0
12 Mar 2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior
  Sampling
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
Hyungi Lee
G. Nam
Edwin Fong
Juho Lee
BDL
32
5
0
12 Mar 2024
Calibrating Large Language Models Using Their Generations Only
Calibrating Large Language Models Using Their Generations Only
Dennis Ulmer
Martin Gubri
Hwaran Lee
Sangdoo Yun
Seong Joon Oh
UQLM
432
18
1
09 Mar 2024
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
H. Bui
Anqi Liu
OOD
BDL
UQCV
49
4
0
07 Mar 2024
Don't Blame the Data, Blame the Model: Understanding Noise and Bias When
  Learning from Subjective Annotations
Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations
Abhishek Anand
Negar Mokhberian
Prathyusha Naresh Kumar
Anweasha Saha
Zihao He
Ashwin Rao
Fred Morstatter
Kristina Lerman
39
6
0
06 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
UQCV
52
10
0
05 Mar 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications
  to Cardiac MRI Segmentation
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation
Yidong Zhao
João Tourais
Iain Pierce
Christian Nitsche
T. Treibel
Sebastian Weingartner
Artur M. Schweidtmann
Qian Tao
BDL
UQCV
43
5
0
04 Mar 2024
A prediction rigidity formalism for low-cost uncertainties in trained
  neural networks
A prediction rigidity formalism for low-cost uncertainties in trained neural networks
Filippo Bigi
Sanggyu Chong
Michele Ceriotti
Federico Grasselli
52
5
0
04 Mar 2024
Selection, Ensemble, and Adaptation: Advancing Multi-Source-Free Domain
  Adaptation via Architecture Zoo
Selection, Ensemble, and Adaptation: Advancing Multi-Source-Free Domain Adaptation via Architecture Zoo
Jiangbo Pei
Ruizhe Li
Aidong Men
Yang Liu
Xiahai Zhuang
Qingchao Chen
48
0
0
03 Mar 2024
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for
  Specialized Tasks
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
Bálint Mucsányi
Michael Kirchhof
Seong Joon Oh
UQCV
BDL
OODD
436
20
1
29 Feb 2024
Securing Reliability: A Brief Overview on Enhancing In-Context Learning
  for Foundation Models
Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models
Yunpeng Huang
Yaonan Gu
Jingwei Xu
Zhihong Zhu
Zhaorun Chen
Xiaoxing Ma
43
3
0
27 Feb 2024
Confidence-Aware Multi-Field Model Calibration
Confidence-Aware Multi-Field Model Calibration
Yuang Zhao
Chuhan Wu
Qinglin Jia
Hong Zhu
Jia Yan
Libin Zong
Linxuan Zhang
Zhenhua Dong
Muyu Zhang
38
1
0
27 Feb 2024
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty
  Estimation from Unlabelled Data
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data
David S. W. Williams
Daniele De Martini
Matthew Gadd
Paul Newman
UQCV
29
5
0
27 Feb 2024
Variational Learning is Effective for Large Deep Networks
Variational Learning is Effective for Large Deep Networks
Yuesong Shen
Nico Daheim
Bai Cong
Peter Nickl
Gian Maria Marconi
...
Rio Yokota
Iryna Gurevych
Daniel Cremers
Mohammad Emtiyaz Khan
Thomas Möllenhoff
43
22
0
27 Feb 2024
Pretrained Visual Uncertainties
Pretrained Visual Uncertainties
Michael Kirchhof
Mark Collier
Seong Joon Oh
Enkelejda Kasneci
UQCV
410
8
1
26 Feb 2024
Watch Your Head: Assembling Projection Heads to Save the Reliability of
  Federated Models
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models
Jinqian Chen
Jihua Zhu
Qinghai Zheng
Zhongyu Li
Zhiqiang Tian
FedML
34
3
0
26 Feb 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular
  Time Series Data
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
YongKyung Oh
Dongyoung Lim
Sungil Kim
AI4TS
43
13
0
22 Feb 2024
The METRIC-framework for assessing data quality for trustworthy AI in
  medicine: a systematic review
The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review
Daniel Schwabe
Katinka Becker
Martin Seyferth
Andreas Klass
Tobias Schäffter
36
20
0
21 Feb 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty
  Quantification Methods
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
Jiaxin Zhang
Kamalika Das
Kumar Sricharan
UQCV
35
0
0
20 Feb 2024
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Oleksandr Balabanov
Hampus Linander
UQCV
36
15
0
19 Feb 2024
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning
Yang Ni
Zhuowen Zou
Wenjun Huang
Hanning Chen
William Youngwoo Chung
Samuel Cho
R. Krishnan
Pietro Mercati
Mohsen Imani
42
3
0
17 Feb 2024
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and
  Monocular Depth Estimation
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation
S. Landgraf
Markus Hillemann
Theodor Kapler
Markus Ulrich
UQCV
34
8
0
16 Feb 2024
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers
Hong Jia
Young D. Kwon
Dong Ma
Nhat Pham
Lorena Qendro
Tam N. Vu
Cecilia Mascolo
27
2
0
14 Feb 2024
Variational Continual Test-Time Adaptation
Variational Continual Test-Time Adaptation
Fan Lyu
Kaile Du
Yuyang Li
Hanyu Zhao
Zhang Zhang
Guangcan Liu
Liang Wang
TTA
BDL
29
6
0
13 Feb 2024
An Empirical Study Into What Matters for Calibrating Vision-Language
  Models
An Empirical Study Into What Matters for Calibrating Vision-Language Models
Weijie Tu
Weijian Deng
Dylan Campbell
Stephen Gould
Tom Gedeon
VLM
35
7
0
12 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image
  Pre-Training (CLIP)
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
Weijie Tu
Weijian Deng
Tom Gedeon
UQCV
VLM
20
33
0
12 Feb 2024
Predictive Churn with the Set of Good Models
Predictive Churn with the Set of Good Models
J. Watson-Daniels
Flavio du Pin Calmon
Alexander DÁmour
Carol Xuan Long
David C. Parkes
Berk Ustun
83
7
0
12 Feb 2024
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under
  Distribution Shifts
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts
Masoumeh Javanbakhat
Md Tasnimul Hasan
Cristoph Lippert
UQCV
OOD
26
1
0
10 Feb 2024
SAE: Single Architecture Ensemble Neural Networks
SAE: Single Architecture Ensemble Neural Networks
Martin Ferianc
Hongxiang Fan
Miguel R. D. Rodrigues
UQCV
24
0
0
09 Feb 2024
Asking the Right Question at the Right Time: Human and Model Uncertainty
  Guidance to Ask Clarification Questions
Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions
A. Testoni
Raquel Fernández
22
10
0
09 Feb 2024
Deal, or no deal (or who knows)? Forecasting Uncertainty in
  Conversations using Large Language Models
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models
Anthony Sicilia
Hyunwoo J. Kim
Khyathi Raghavi Chandu
Malihe Alikhani
Jack Hessel
20
1
0
05 Feb 2024
How Good is a Single Basin?
How Good is a Single Basin?
Kai Lion
Lorenzo Noci
Thomas Hofmann
Gregor Bachmann
UQCV
28
2
0
05 Feb 2024
A Distributionally Robust Optimisation Approach to Fair Credit Scoring
A Distributionally Robust Optimisation Approach to Fair Credit Scoring
Pablo Casas
Christophe Mues
Huan Yu
14
0
0
02 Feb 2024
Non-Exchangeable Conformal Language Generation with Nearest Neighbors
Non-Exchangeable Conformal Language Generation with Nearest Neighbors
Dennis Ulmer
Chrysoula Zerva
André F. T. Martins
38
11
0
01 Feb 2024
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