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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
A Structured Review of Literature on Uncertainty in Machine Learning &
  Deep Learning
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning
Fahimeh Fakour
Ali Mosleh
Ramin Ramezani
UQCVUDPER
106
3
0
01 Jun 2024
LACIE: Listener-Aware Finetuning for Confidence Calibration in Large
  Language Models
LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models
Elias Stengel-Eskin
Peter Hase
Mohit Bansal
100
7
0
31 May 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
Selim Kuzucu
Kemal Oksuz
Jonathan Sadeghi
P. Dokania
89
5
0
30 May 2024
Kernel Language Entropy: Fine-grained Uncertainty Quantification for
  LLMs from Semantic Similarities
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
Alexander Nikitin
Jannik Kossen
Yarin Gal
Pekka Marttinen
UQCV
136
45
0
30 May 2024
Accurate and Reliable Predictions with Mutual-Transport Ensemble
Accurate and Reliable Predictions with Mutual-Transport Ensemble
Han Liu
Peng Cui
Bingning Wang
Jun Zhu
Xiaolin Hu
UQCV
58
0
0
30 May 2024
Federated Continual Learning Goes Online: Leveraging Uncertainty for
  Modality-Agnostic Class-Incremental Learning
Federated Continual Learning Goes Online: Leveraging Uncertainty for Modality-Agnostic Class-Incremental Learning
Giuseppe Serra
Florian Buettner
CLLFedML
98
0
0
29 May 2024
Language Generation with Strictly Proper Scoring Rules
Language Generation with Strictly Proper Scoring Rules
Chenze Shao
Fandong Meng
Yijin Liu
Jie Zhou
101
6
0
29 May 2024
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
Cristian Rodriguez-Opazo
Ehsan Abbasnejad
Damien Teney
Edison Marrese-Taylor
Hamed Damirchi
Anton Van Den Hengel
VLM
136
1
0
27 May 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via
  Aggregated Parameterized Scaler
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler
Hongyi Peng
Han Yu
Xiaoli Tang
Xiaoxiao Li
109
5
0
24 May 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Kaizheng Wang
Fabio Cuzzolin
Keivan K1 Shariatmadar
David Moens
Hans Hallez
UQCVBDL
126
6
0
23 May 2024
Trajectory Volatility for Out-of-Distribution Detection in Mathematical
  Reasoning
Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning
Yiming Wang
Pei Zhang
Baosong Yang
Derek F. Wong
Zhuosheng Zhang
Rui Wang
OODD
33
1
0
22 May 2024
LookHere: Vision Transformers with Directed Attention Generalize and
  Extrapolate
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate
A. Fuller
Daniel G. Kyrollos
Yousef Yassin
James R. Green
109
3
0
22 May 2024
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep
  Image Synthesis
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis
Soumya Dutta
Faheem Nizar
Ahmad Amaan
Ayan Acharya
AAML
89
1
0
22 May 2024
System Safety Monitoring of Learned Components Using Temporal Metric
  Forecasting
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
Sepehr Sharifi
Andrea Stocco
Lionel C. Briand
AI4TS
106
1
0
21 May 2024
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose
  Prediction from Freehand 2D Ultrasound Videos
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos
Jayroop Ramesh
Nicola K. Dinsdale
INTERGROWTH-21 Consortium
P. Yeung
Ana I. L. Namburete
MedIm
81
4
0
21 May 2024
Uncertainty Quantification Metrics for Deep Regression
Uncertainty Quantification Metrics for Deep Regression
Simon Kristoffersson Lind
Ziliang Xiong
Per-Erik Forssén
Volker Kruger
UQCV
63
6
0
07 May 2024
Information-driven Affordance Discovery for Efficient Robotic
  Manipulation
Information-driven Affordance Discovery for Efficient Robotic Manipulation
Pietro Mazzaglia
Taco Cohen
Daniel Dijkman
125
2
0
06 May 2024
The Role of Predictive Uncertainty and Diversity in Embodied AI and
  Robot Learning
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning
Ransalu Senanayake
96
9
0
06 May 2024
A View on Out-of-Distribution Identification from a Statistical Testing
  Theory Perspective
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective
Alberto Caron
Chris Hicks
V. Mavroudis
OODD
142
2
0
05 May 2024
Source-Free Domain Adaptation Guided by Vision and Vision-Language
  Pre-Training
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training
Wenyu Zhang
Li Shen
Chuan-Sheng Foo
VLMTTA
107
5
0
05 May 2024
Quantifying Distribution Shifts and Uncertainties for Enhanced Model
  Robustness in Machine Learning Applications
Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applications
Vegard Flovik
OOD
83
1
0
03 May 2024
Accelerating Convergence in Bayesian Few-Shot Classification
Accelerating Convergence in Bayesian Few-Shot Classification
Tianjun Ke
Haoqun Cao
Feng Zhou
101
0
0
02 May 2024
Error-Driven Uncertainty Aware Training
Error-Driven Uncertainty Aware Training
Pedro Mendes
Paolo Romano
David Garlan
UQCV
93
2
0
02 May 2024
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
84
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
75
7
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
60
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
84
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
71
0
0
19 Apr 2024
Variational Bayesian Last Layers
Variational Bayesian Last Layers
James Harrison
John Willes
Jasper Snoek
BDLUQCV
146
34
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 Pershin
Danis Alukaev
UQCVEDL
63
1
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
72
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
90
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
105
3
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
83
12
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
123
7
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
72
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
FedMLUQCV
70
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
89
7
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
98
15
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
61
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
75
6
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
501
28
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
OODBDLUQCV
190
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
79
7
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
103
12
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
BDLUQCV
83
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
75
6
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
89
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
UQCVBDLOODD
582
32
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
64
3
0
27 Feb 2024
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