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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
Deep Gaussian Mixture Ensembles
Deep Gaussian Mixture Ensembles
Yousef El-Laham
Niccolò Dalmasso
Elizabeth Fons
Svitlana Vyetrenko
BDLUQCV
60
2
0
12 Jun 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via
  Probabilistic Smoothing
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
Ziyan Wang
Hao Wang
UQCV
82
0
0
11 Jun 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley
  Values
Explaining Predictive Uncertainty with Information Theoretic Shapley Values
David S. Watson
Joshua O'Hara
Niek Tax
Richard Mudd
Ido Guy
TDIFAtt
68
24
0
09 Jun 2023
On the Joint Interaction of Models, Data, and Features
On the Joint Interaction of Models, Data, and Features
Yiding Jiang
Christina Baek
J. Zico Kolter
FedML
54
4
0
07 Jun 2023
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time
  Adaptation
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
Jiaming Liu
Senqiao Yang
Peidong Jia
Renrui Zhang
Ming Lu
Yandong Guo
Wei Xue
Shanghang Zhang
TTAOODVLM
103
40
0
07 Jun 2023
Asymptotics of Bayesian Uncertainty Estimation in Random Features
  Regression
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression
You-Hyun Baek
S. Berchuck
Sayan Mukherjee
123
0
0
06 Jun 2023
Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma
  Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study
Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study
A. Hekler
Roman C. Maron
Sarah Haggenmuller
Max Schmitt
Christoph Wies
...
Matthias Goebeler
Bastian Schilling
Jakob N. Kather
E. Krieghoff-Henning
T. Brinker
58
4
0
05 Jun 2023
Input-gradient space particle inference for neural network ensembles
Input-gradient space particle inference for neural network ensembles
Trung Trinh
Markus Heinonen
Luigi Acerbi
Samuel Kaski
UQCV
75
4
0
05 Jun 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and
  Applications
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
Mengting Hu
Zhen Zhang
Shiwan Zhao
Minlie Huang
Bingzhe Wu
BDL
103
39
0
05 Jun 2023
Sen2Pro: A Probabilistic Perspective to Sentence Embedding from
  Pre-trained Language Model
Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model
Lingfeng Shen
Haiyun Jiang
Lemao Liu
Shuming Shi
54
2
0
04 Jun 2023
A Data-Driven Measure of Relative Uncertainty for Misclassification
  Detection
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
Eduardo Dadalto Camara Gomes
Marco Romanelli
Georg Pichler
Pablo Piantanida
UQCV
95
5
0
02 Jun 2023
Estimating Semantic Similarity between In-Domain and Out-of-Domain
  Samples
Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples
Rhitabrat Pokharel
Ameeta Agrawal
OODD
74
2
0
01 Jun 2023
On the Limitations of Temperature Scaling for Distributions with
  Overlaps
On the Limitations of Temperature Scaling for Distributions with Overlaps
Muthuraman Chidambaram
Rong Ge
UQCV
91
4
0
01 Jun 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement
  Discrepancy
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
Elan Rosenfeld
Saurabh Garg
UQCV
68
7
0
01 Jun 2023
ActiveAED: A Human in the Loop Improves Annotation Error Detection
ActiveAED: A Human in the Loop Improves Annotation Error Detection
Leon Weber
Barbara Plank
74
11
0
31 May 2023
A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
Y. Li
Tim G. J. Rudner
A. Wilson
BDL
97
34
0
31 May 2023
Perception and Semantic Aware Regularization for Sequential Confidence
  Calibration
Perception and Semantic Aware Regularization for Sequential Confidence Calibration
Zhenghua Peng
Yuanmao Luo
Tianshui Chen
Keke Xu
Shuangping Huang
AI4TS
83
2
0
31 May 2023
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced
  Driver-Assistance System
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System
Jiwei Guan
Lei Pan
Chen Wang
Shui Yu
Longxiang Gao
Xi Zheng
AAML
58
4
0
30 May 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Mert Yuksekgonul
Linjun Zhang
James Zou
Carlos Guestrin
101
22
0
29 May 2023
Federated Conformal Predictors for Distributed Uncertainty
  Quantification
Federated Conformal Predictors for Distributed Uncertainty Quantification
Charles Lu
Yaodong Yu
Sai Praneeth Karimireddy
Michael I. Jordan
Ramesh Raskar
FedML
118
24
0
27 May 2023
Characterizing Out-of-Distribution Error via Optimal Transport
Characterizing Out-of-Distribution Error via Optimal Transport
Yuzhe Lu
Yilong Qin
Runtian Zhai
Andrew Shen
Ketong Chen
Zhenlin Wang
Soheil Kolouri
Simon Stepputtis
Joseph Campbell
Katia Sycara
OODD
93
12
0
25 May 2023
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods
  for Selective Classification with Deep Neural Networks
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks
L. F. P. Cattelan
Danilo Silva
UQCV
119
6
0
24 May 2023
A Rigorous Link between Deep Ensembles and (Variational) Bayesian
  Methods
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
Veit Wild
Sahra Ghalebikesabi
Dino Sejdinovic
Jeremias Knoblauch
BDLUQCV
98
16
0
24 May 2023
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence
  Scores from Language Models Fine-Tuned with Human Feedback
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback
Katherine Tian
E. Mitchell
Allan Zhou
Archit Sharma
Rafael Rafailov
Huaxiu Yao
Chelsea Finn
Christopher D. Manning
152
355
0
24 May 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural
  Networks
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
Kexin Huang
Ying Jin
Emmanuel Candès
J. Leskovec
262
63
0
23 May 2023
Improving Classifier Robustness through Active Generation of Pairwise
  Counterfactuals
Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals
Ananth Balashankar
Xuezhi Wang
Yao Qin
Ben Packer
Nithum Thain
Jilin Chen
Ed H. Chi
Alex Beutel
65
0
0
22 May 2023
Hystoc: Obtaining word confidences for fusion of end-to-end ASR systems
Hystoc: Obtaining word confidences for fusion of end-to-end ASR systems
Karel Beneš
M. Kocour
L. Burget
61
2
0
21 May 2023
When are ensembles really effective?
When are ensembles really effective?
Ryan Theisen
Hyunsuk Kim
Yaoqing Yang
Liam Hodgkinson
Michael W. Mahoney
FedMLUQCV
94
15
0
21 May 2023
Annealing Self-Distillation Rectification Improves Adversarial Training
Annealing Self-Distillation Rectification Improves Adversarial Training
Yuehua Wu
Hung-Jui Wang
Shang-Tse Chen
AAML
97
5
0
20 May 2023
Learning for Transductive Threshold Calibration in Open-World
  Recognition
Learning for Transductive Threshold Calibration in Open-World Recognition
Qin Zhang
Dongsheng An
Tianjun Xiao
Tong He
Qingming Tang
Ying Nian Wu
Joseph Tighe
Yifan Xing
Stefano Soatto
83
0
0
19 May 2023
Semantic Anomaly Detection with Large Language Models
Semantic Anomaly Detection with Large Language Models
Amine Elhafsi
Rohan Sinha
Christopher Agia
Edward Schmerling
I. Nesnas
Marco Pavone
99
75
0
18 May 2023
Variational Classification
Variational Classification
Shehzaad Dhuliawala
Mrinmaya Sachan
Carl Allen
BDL
58
7
0
17 May 2023
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive
  Sequence Uncertainties
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties
Yassir Fathullah
Guoxuan Xia
Mark Gales
UQCV
61
5
0
17 May 2023
A Probabilistic Transformation of Distance-Based Outliers
A Probabilistic Transformation of Distance-Based Outliers
David Muhr
M. Affenzeller
Josef Küng
57
12
0
16 May 2023
Towards unraveling calibration biases in medical image analysis
Towards unraveling calibration biases in medical image analysis
María Agustina Ricci Lara
Candelaria Mosquera
Enzo Ferrante
Rodrigo Echeveste
85
9
0
09 May 2023
A Unified Evaluation Framework for Novelty Detection and Accommodation
  in NLP with an Instantiation in Authorship Attribution
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution
Neeraj Varshney
Himanshu Gupta
Eric Robertson
Bin Liu
Chitta Baral
65
1
0
08 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design
  and Health Prognostics: A Tutorial
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
V. Nemani
Luca Biggio
Xun Huan
Zhen Hu
Olga Fink
Anh Tran
Yan Wang
Xiaoge Zhang
Chao Hu
AI4CE
116
81
0
07 May 2023
A Survey on Out-of-Distribution Detection in NLP
A Survey on Out-of-Distribution Detection in NLP
Hao Lang
Yinhe Zheng
Yixuan Li
Jian Sun
Feiling Huang
Yongbin Li
91
25
0
05 May 2023
Inferential Moments of Uncertain Multivariable Systems
Inferential Moments of Uncertain Multivariable Systems
Junheng Li
60
1
0
03 May 2023
Expectation Maximization Pseudo Labels
Expectation Maximization Pseudo Labels
Moucheng Xu
Yukun Zhou
Chen Jin
M. Groot
Daniel C. Alexander
N. Oxtoby
Yipeng Hu
Joseph Jacob
123
3
0
02 May 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model
  Latent Agreement
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement
Ailin Deng
Miao Xiong
Bryan Hooi
205
7
0
02 May 2023
Calibration Error Estimation Using Fuzzy Binning
Calibration Error Estimation Using Fuzzy Binning
Geetanjali Bihani
Julia Taylor Rayz
215
2
0
30 Apr 2023
QuantProb: Generalizing Probabilities along with Predictions for a
  Pre-trained Classifier
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier
Aditya Challa
Snehanshu Saha
S. Dhavala
UQCV
74
2
0
25 Apr 2023
Efficient Uncertainty Estimation in Spiking Neural Networks via
  MC-dropout
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout
Tao Sun
Bojian Yin
S. Bohté
BDL
81
5
0
20 Apr 2023
Learning Sample Difficulty from Pre-trained Models for Reliable
  Prediction
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
Peng Cui
Dan Zhang
Zhijie Deng
Yinpeng Dong
Junyi Zhu
60
12
0
20 Apr 2023
SATA: Source Anchoring and Target Alignment Network for Continual Test
  Time Adaptation
SATA: Source Anchoring and Target Alignment Network for Continual Test Time Adaptation
Goirik Chakrabarty
Manogna Sreenivas
Soma Biswas
TTA
72
7
0
20 Apr 2023
Decoupled Training for Long-Tailed Classification With Stochastic
  Representations
Decoupled Training for Long-Tailed Classification With Stochastic Representations
G. Nam
Sunguk Jang
Juho Lee
OODBDLOODD
66
14
0
19 Apr 2023
A Domain-Region Based Evaluation of ML Performance Robustness to
  Covariate Shift
A Domain-Region Based Evaluation of ML Performance Robustness to Covariate Shift
Firas Bayram
Bestoun S. Ahmed
OOD
55
4
0
18 Apr 2023
K-means Clustering Based Feature Consistency Alignment for Label-free
  Model Evaluation
K-means Clustering Based Feature Consistency Alignment for Label-free Model Evaluation
Shuyu Miao
Lin Zheng
Qingbin Liu
and Hong Jin
77
6
0
17 Apr 2023
Approaching Test Time Augmentation in the Context of Uncertainty
  Calibration for Deep Neural Networks
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks
Pedro Conde
T. Barros
Rui L. Lopes
C. Premebida
U. J. Nunes
UQCV
67
7
0
11 Apr 2023
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