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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
Robust Semantic Segmentation with Superpixel-Mix
Robust Semantic Segmentation with Superpixel-Mix
Gianni Franchi
Nacim Belkhir
Mai Lan Ha
Yufei Hu
Andrei Bursuc
V. Blanz
Angela Yao
UQCV
87
23
0
02 Aug 2021
Sequential Multivariate Change Detection with Calibrated and Memoryless
  False Detection Rates
Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates
Oliver Cobb
A. V. Looveren
Janis Klaise
80
6
0
02 Aug 2021
Soft Calibration Objectives for Neural Networks
Soft Calibration Objectives for Neural Networks
A. Karandikar
Nicholas Cain
Dustin Tran
Balaji Lakshminarayanan
Jonathon Shlens
Michael C. Mozer
Becca Roelofs
UQCV
108
91
0
30 Jul 2021
When Deep Learners Change Their Mind: Learning Dynamics for Active
  Learning
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning
Javad Zolfaghari Bengar
Bogdan Raducanu
Joost van de Weijer
67
10
0
30 Jul 2021
Are Bayesian neural networks intrinsically good at out-of-distribution
  detection?
Are Bayesian neural networks intrinsically good at out-of-distribution detection?
Christian Henning
Francesco DÁngelo
Benjamin Grewe
UQCVBDL
68
10
0
26 Jul 2021
An Uncertainty-Aware Deep Learning Framework for Defect Detection in
  Casting Products
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products
Maryam Habibpour
Hassan Gharoun
AmirReza Tajally
Afshar Shamsi Jokandan
Hamzeh Asgharnezhad
Abbas Khosravi
S. Nahavandi
UQCV
68
16
0
24 Jul 2021
Estimating Predictive Uncertainty Under Program Data Distribution Shift
Estimating Predictive Uncertainty Under Program Data Distribution Shift
Yufei Li
Simin Chen
Wei Yang
UQCV
68
5
0
23 Jul 2021
AUGCO: Augmentation Consistency-guided Self-training for Source-free
  Domain Adaptive Semantic Segmentation
AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation
Viraj Prabhu
Shivam Khare
Deeksha Kartik
Judy Hoffman
TTA
88
21
0
21 Jul 2021
Iterative Distillation for Better Uncertainty Estimates in Multitask
  Emotion Recognition
Iterative Distillation for Better Uncertainty Estimates in Multitask Emotion Recognition
Didan Deng
Liang Wu
Bertram E. Shi
63
34
0
21 Jul 2021
High Frequency EEG Artifact Detection with Uncertainty via Early Exit
  Paradigm
High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm
Lorena Qendro
Alexander Campbell
Pietro Lio
Cecilia Mascolo
131
6
0
21 Jul 2021
Uncertainty Estimation and Out-of-Distribution Detection for
  Counterfactual Explanations: Pitfalls and Solutions
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions
Eoin Delaney
Derek Greene
Mark T. Keane
79
26
0
20 Jul 2021
Epistemic Neural Networks
Epistemic Neural Networks
Ian Osband
Zheng Wen
M. Asghari
Vikranth Dwaracherla
M. Ibrahimi
Xiyuan Lu
Benjamin Van Roy
UQCVBDL
134
109
0
19 Jul 2021
On the Importance of Regularisation & Auxiliary Information in OOD
  Detection
On the Importance of Regularisation & Auxiliary Information in OOD Detection
John Mitros
Brian Mac Namee
52
2
0
15 Jul 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple
  Large-Scale Tasks
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
A. Malinin
Neil Band
Ganshin
Alexander
German Chesnokov
...
Roginskiy
Denis
Mariya Shmatova
Panos Tigas
Boris Yangel
UQCVOOD
124
132
0
15 Jul 2021
RBUE: A ReLU-Based Uncertainty Estimation Method of Deep Neural Networks
RBUE: A ReLU-Based Uncertainty Estimation Method of Deep Neural Networks
Yufeng Xia
Jun Zhang
Zhiqiang Gong
Tingsong Jiang
Wen Yao
UQCV
58
1
0
15 Jul 2021
Uncertainty-Aware Reliable Text Classification
Uncertainty-Aware Reliable Text Classification
Yibo Hu
Latifur Khan
EDLUQCV
74
33
0
15 Jul 2021
Federated Mixture of Experts
Federated Mixture of Experts
M. Reisser
Christos Louizos
E. Gavves
Max Welling
FedML
71
26
0
14 Jul 2021
What classifiers know what they don't?
What classifiers know what they don't?
Mohamed Ishmael Belghazi
David Lopez-Paz
86
7
0
13 Jul 2021
Project Achoo: A Practical Model and Application for COVID-19 Detection
  from Recordings of Breath, Voice, and Cough
Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough
Alexander Ponomarchuk
I. Burenko
Elian Malkin
Ivan Nazarov
V. Kokh
Manvel Avetisian
L. Zhukov
87
40
0
12 Jul 2021
Multi-headed Neural Ensemble Search
Multi-headed Neural Ensemble Search
Ashwin Raaghav Narayanan
Arber Zela
Tonmoy Saikia
Thomas Brox
Frank Hutter
UQCV
46
4
0
09 Jul 2021
Differentially private training of neural networks with Langevin
  dynamics for calibrated predictive uncertainty
Differentially private training of neural networks with Langevin dynamics for calibrated predictive uncertainty
Moritz Knolle
Alexander Ziller
Dmitrii Usynin
R. Braren
Marcus R. Makowski
Daniel Rueckert
Georgios Kaissis
UQCV
56
2
0
09 Jul 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty
  Estimation
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
Ian D Kivlichan
Zi Lin
J. Liu
Lucy Vasserman
58
20
0
09 Jul 2021
Towards Robust Active Feature Acquisition
Towards Robust Active Feature Acquisition
Yang Li
Siyuan Shan
Qin Liu
Junier B. Oliva
TPM
54
4
0
09 Jul 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDLUQCVOOD
242
1,177
0
07 Jul 2021
Predicting with Confidence on Unseen Distributions
Predicting with Confidence on Unseen Distributions
Devin Guillory
Vaishaal Shankar
Sayna Ebrahimi
Trevor Darrell
Ludwig Schmidt
UQCVOOD
122
123
0
07 Jul 2021
Test for non-negligible adverse shifts
Test for non-negligible adverse shifts
Vathy M. Kamulete
77
4
0
07 Jul 2021
Detecting Concept Drift With Neural Network Model Uncertainty
Detecting Concept Drift With Neural Network Model Uncertainty
Lucas Baier
Tim Schlör
Jakob Schöffer
Niklas Kühl
68
28
0
05 Jul 2021
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation
Shanu Kumar
V. Kurmi
Praphul Singh
Vinay P. Namboodiri
30
4
0
01 Jul 2021
On the Practicality of Deterministic Epistemic Uncertainty
On the Practicality of Deterministic Epistemic Uncertainty
Janis Postels
Mattia Segu
Tao Sun
Luca Sieber
Luc Van Gool
Feng Yu
Federico Tombari
UQCV
97
61
0
01 Jul 2021
Unsupervised Model Drift Estimation with Batch Normalization Statistics
  for Dataset Shift Detection and Model Selection
Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection
Won-Jo Lee
Seokhyun Byun
Jooeun Kim
Minje Park
Kirill Chechil
AI4TS
40
2
0
01 Jul 2021
Detecting Errors and Estimating Accuracy on Unlabeled Data with
  Self-training Ensembles
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
Jiefeng Chen
Frederick Liu
Besim Avci
Xi Wu
Yingyu Liang
S. Jha
116
64
0
29 Jun 2021
Exploring the Efficacy of Automatically Generated Counterfactuals for
  Sentiment Analysis
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
Linyi Yang
Jiazheng Li
Padraig Cunningham
Yue Zhang
Barry Smyth
Ruihai Dong
89
48
0
29 Jun 2021
Laplace Redux -- Effortless Bayesian Deep Learning
Laplace Redux -- Effortless Bayesian Deep Learning
Erik A. Daxberger
Agustinus Kristiadi
Alexander Immer
Runa Eschenhagen
Matthias Bauer
Philipp Hennig
BDLUQCV
254
315
0
28 Jun 2021
Ensembling Shift Detectors: an Extensive Empirical Evaluation
Ensembling Shift Detectors: an Extensive Empirical Evaluation
Simona Maggio
L. Dreyfus-Schmidt
AI4TS
104
3
0
28 Jun 2021
Deep Ensembling with No Overhead for either Training or Testing: The
  All-Round Blessings of Dynamic Sparsity
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
Shiwei Liu
Tianlong Chen
Zahra Atashgahi
Xiaohan Chen
Ghada Sokar
Elena Mocanu
Mykola Pechenizkiy
Zhangyang Wang
Decebal Constantin Mocanu
OOD
125
53
0
28 Jun 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image
  Classifiers
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers
Stephanie Tsuei
Aditya Golatkar
Stefano Soatto
UQCV
46
0
0
25 Jun 2021
FF-NSL: Feed-Forward Neural-Symbolic Learner
FF-NSL: Feed-Forward Neural-Symbolic Learner
Daniel Cunnington
Mark Law
A. Russo
Jorge Lobo
NAI
92
15
0
24 Jun 2021
Estimating the Robustness of Classification Models by the Structure of
  the Learned Feature-Space
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space
Kalun Ho
Franz-Josef Pfreundt
J. Keuper
Margret Keuper
OODUQCV
50
3
0
23 Jun 2021
Towards Consistent Predictive Confidence through Fitted Ensembles
Towards Consistent Predictive Confidence through Fitted Ensembles
Navid Kardan
Ankit Sharma
Kenneth O. Stanley
FedMLOODD
60
8
0
22 Jun 2021
Dangers of Bayesian Model Averaging under Covariate Shift
Dangers of Bayesian Model Averaging under Covariate Shift
Pavel Izmailov
Patrick K. Nicholson
Sanae Lotfi
A. Wilson
OODUQCVBDL
151
46
0
22 Jun 2021
Repulsive Deep Ensembles are Bayesian
Repulsive Deep Ensembles are Bayesian
Francesco DÁngelo
Vincent Fortuin
UQCVBDL
129
101
0
22 Jun 2021
On Stein Variational Neural Network Ensembles
On Stein Variational Neural Network Ensembles
Francesco DÁngelo
Vincent Fortuin
F. Wenzel
UQCVBDL
92
27
0
20 Jun 2021
Being a Bit Frequentist Improves Bayesian Neural Networks
Being a Bit Frequentist Improves Bayesian Neural Networks
Agustinus Kristiadi
Matthias Hein
Philipp Hennig
BDLUQCV
95
16
0
18 Jun 2021
Gradual Domain Adaptation via Self-Training of Auxiliary Models
Gradual Domain Adaptation via Self-Training of Auxiliary Models
Yabin Zhang
Bin Deng
Kui Jia
Lei Zhang
CLL
94
10
0
18 Jun 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable
  Expected Calibration Error
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error
Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
UQCVOOD
108
23
0
17 Jun 2021
On Deep Neural Network Calibration by Regularization and its Impact on Refinement
Aditya Singh
Alessandro Bay
B. Sengupta
Andrea Mirabile
AAML
88
3
0
17 Jun 2021
Behavioral Priors and Dynamics Models: Improving Performance and Domain
  Transfer in Offline RL
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL
Catherine Cang
Aravind Rajeswaran
Pieter Abbeel
Michael Laskin
OffRL
70
30
0
16 Jun 2021
Test Sample Accuracy Scales with Training Sample Density in Neural
  Networks
Test Sample Accuracy Scales with Training Sample Density in Neural Networks
Xu Ji
Razvan Pascanu
Devon Hjelm
Balaji Lakshminarayanan
Andrea Vedaldi
70
8
0
15 Jun 2021
Revisiting the Calibration of Modern Neural Networks
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer
Josip Djolonga
Rob Romijnders
F. Hubis
Xiaohua Zhai
N. Houlsby
Dustin Tran
Mario Lucic
UQCV
112
369
0
15 Jun 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in
  the Cold Posterior Effect
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
Lorenzo Noci
Kevin Roth
Gregor Bachmann
Sebastian Nowozin
Thomas Hofmann
CML
84
26
0
11 Jun 2021
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