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1909.10155
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Verified Uncertainty Calibration
Neural Information Processing Systems (NeurIPS), 2019
23 September 2019
Ananya Kumar
Abigail Z. Jacobs
Tengyu Ma
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Papers citing
"Verified Uncertainty Calibration"
50 / 266 papers shown
PAC Prediction Sets Under Covariate Shift
International Conference on Learning Representations (ICLR), 2021
Sangdon Park
Guang Cheng
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Osbert Bastani
269
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0
17 Jun 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error
Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
UQCV
OOD
352
28
0
17 Jun 2021
On Deep Neural Network Calibration by Regularization and its Impact on Refinement
Aditya Singh
Alessandro Bay
B. Sengupta
Andrea Mirabile
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239
3
0
17 Jun 2021
To Raise or Not To Raise: The Autonomous Learning Rate Question
Xiaomeng Dong
Tao Tan
Michael Potter
Yun-Chan Tsai
Gaurav Kumar
V. R. Saripalli
Theodore Trafalis
OOD
111
3
0
16 Jun 2021
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer
Josip Djolonga
Rob Romijnders
F. Hubis
Xiaohua Zhai
N. Houlsby
Dustin Tran
Mario Lucic
UQCV
390
442
0
15 Jun 2021
Understanding the Under-Coverage Bias in Uncertainty Estimation
Neural Information Processing Systems (NeurIPS), 2021
Yu Bai
Song Mei
Huan Wang
Caiming Xiong
UQCV
119
14
0
10 Jun 2021
Can a single neuron learn predictive uncertainty?
Edgardo Solano-Carrillo
UQCV
250
1
0
07 Jun 2021
Distribution-free calibration guarantees for histogram binning without sample splitting
International Conference on Machine Learning (ICML), 2021
Chirag Gupta
Aaditya Ramdas
248
50
0
10 May 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
International Conference on Machine Learning (ICML), 2021
Xingchen Ma
Matthew B. Blaschko
256
41
0
10 May 2021
Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings
IEEE International Joint Conference on Neural Network (IJCNN), 2021
U. Sarawgi
Rishab Khincha
W. Zulfikar
Satrajit S. Ghosh
Pattie Maes
UQCV
183
7
0
21 Apr 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning
IEEE International Conference on Computer Vision (ICCV), 2021
Tyler R. Scott
Andrew C. Gallagher
Michael C. Mozer
298
52
0
29 Mar 2021
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models
AAAI Conference on Artificial Intelligence (AAAI), 2021
Zhen Lin
Cao Xiao
Lucas Glass
M. P. M. Brandon Westover
Jimeng Sun
BDL
113
11
0
05 Mar 2021
Distribution-free uncertainty quantification for classification under label shift
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Aleksandr Podkopaev
Aaditya Ramdas
UQCV
282
106
0
04 Mar 2021
Confidence Calibration with Bounded Error Using Transformations
Sooyong Jang
Radoslav Ivanov
Insup Lee
James Weimer
UQCV
136
3
0
25 Feb 2021
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration
European Conference on Computer Vision (ECCV), 2021
Christian Tomani
Zorah Lähner
Florian Buettner
UQCV
204
46
0
24 Feb 2021
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification
International Conference on Machine Learning (ICML), 2021
Yu Bai
Song Mei
Haiquan Wang
Caiming Xiong
226
44
0
15 Feb 2021
When and How Mixup Improves Calibration
International Conference on Machine Learning (ICML), 2021
Linjun Zhang
Zhun Deng
Kenji Kawaguchi
James Zou
UQCV
289
76
0
11 Feb 2021
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Tianxing He
Bryan McCann
Caiming Xiong
Ehsan Hosseini-Asl
141
24
0
18 Jan 2021
Should Ensemble Members Be Calibrated?
Xixin Wu
Mark Gales
UQCV
284
18
0
13 Jan 2021
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
International Conference on Learning Representations (ICLR), 2021
Ali Harakeh
Steven L. Waslander
UQCV
243
43
0
13 Jan 2021
From Black-box to White-box: Examining Confidence Calibration under different Conditions
Franziska Schwaiger
Maximilian Henne
Fabian Küppers
Felippe Schmoeller da Roza
Karsten Roscher
Anselm Haselhoff
130
11
0
08 Jan 2021
Post-hoc Uncertainty Calibration for Domain Drift Scenarios
Computer Vision and Pattern Recognition (CVPR), 2020
Christian Tomani
Sebastian Gruber
Muhammed Ebrar Erdem
Zorah Lähner
Florian Buettner
UQCV
349
77
0
20 Dec 2020
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration
AAAI Conference on Artificial Intelligence (AAAI), 2019
Christian Tomani
Florian Buettner
UQCV
AAML
OOD
292
41
0
20 Dec 2020
Mitigating Bias in Calibration Error Estimation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Rebecca Roelofs
Nicholas Cain
Jonathon Shlens
Michael C. Mozer
317
111
0
15 Dec 2020
Improving model calibration with accuracy versus uncertainty optimization
Neural Information Processing Systems (NeurIPS), 2020
R. Krishnan
Omesh Tickoo
UQCV
476
193
0
14 Dec 2020
Stronger Calibration Lower Bounds via Sidestepping
Symposium on the Theory of Computing (STOC), 2020
Mingda Qiao
Gregory Valiant
474
31
0
07 Dec 2020
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Di Feng
Ali Harakeh
Steven Waslander
Klaus C. J. Dietmayer
AAML
UQCV
EDL
331
282
0
20 Nov 2020
Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Shengjia Zhao
Stefano Ermon
159
10
0
15 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Information Fusion (Inf. Fusion), 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
952
2,283
0
12 Nov 2020
PAC Confidence Predictions for Deep Neural Network Classifiers
International Conference on Learning Representations (ICLR), 2020
Sangdon Park
Shuo Li
Insup Lee
Osbert Bastani
UQCV
645
27
0
02 Nov 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
Neural Information Processing Systems (NeurIPS), 2020
Disi Ji
Padhraic Smyth
M. Steyvers
180
52
0
19 Oct 2020
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach
Haoxu Wang
Zhiding Yu
Yisong Yue
Anima Anandkumar
Anqi Liu
Junchi Yan
OOD
UQCV
423
4
0
08 Oct 2020
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles
U. Sarawgi
W. Zulfikar
Rishab Khincha
Pattie Maes
PER
UQCV
BDL
UD
144
7
0
25 Sep 2020
Probabilistic Machine Learning for Healthcare
Annual Review of Biomedical Data Science (ARBDS), 2020
Irene Y. Chen
Shalmali Joshi
Marzyeh Ghassemi
Rajesh Ranganath
OOD
238
63
0
23 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes
International Conference on Learning Representations (ICLR), 2020
Junnan Li
Caiming Xiong
Guosheng Lin
205
112
0
17 Sep 2020
Adaptive Label Smoothing
Ujwal Krothapalli
A. Lynn Abbott
201
11
0
14 Sep 2020
Measuring Massive Multitask Language Understanding
International Conference on Learning Representations (ICLR), 2020
Dan Hendrycks
Collin Burns
Steven Basart
Andy Zou
Mantas Mazeika
Basel Alomair
Jacob Steinhardt
ELM
RALM
2.2K
6,566
0
07 Sep 2020
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings
John Mitros
A. Pakrashi
Brian Mac Namee
UQCV
311
2
0
03 Sep 2020
Privacy Preserving Recalibration under Domain Shift
Rachel Luo
Shengjia Zhao
Jiaming Song
Jonathan Kuck
Stefano Ermon
Silvio Savarese
123
3
0
21 Aug 2020
Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisited
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2020
Timo Dimitriadis
T. Gneiting
Alexander I. Jordan
264
79
0
07 Aug 2020
Transferable Calibration with Lower Bias and Variance in Domain Adaptation
Neural Information Processing Systems (NeurIPS), 2020
Ximei Wang
Mingsheng Long
Jianmin Wang
Sai Li
176
63
0
16 Jul 2020
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain
Takahiro Mimori
Keiko Sasada
H. Matsui
Issei Sato
UQCV
342
9
0
03 Jul 2020
Confidence-Aware Learning for Deep Neural Networks
J. Moon
Jihyo Kim
Younghak Shin
Sangheum Hwang
UQCV
382
167
0
03 Jul 2020
Class-Similarity Based Label Smoothing for Confidence Calibration
International Conference on Artificial Neural Networks (ICANN), 2020
Chihuang Liu
Joseph Jaja
UQCV
188
2
0
24 Jun 2020
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
International Conference on Learning Representations (ICLR), 2020
Kanil Patel
William H. Beluch
Binh Yang
Michael Pfeiffer
Dan Zhang
UQCV
519
39
0
23 Jun 2020
Post-hoc Calibration of Neural Networks by g-Layers
Amir M. Rahimi
Thomas Mensink
Kartik Gupta
Thalaiyasingam Ajanthan
C. Sminchisescu
Leonid Sigal
201
7
0
23 Jun 2020
Calibration of Neural Networks using Splines
International Conference on Learning Representations (ICLR), 2020
Kartik Gupta
Amir M. Rahimi
Thalaiyasingam Ajanthan
Thomas Mensink
C. Sminchisescu
Leonid Sigal
238
122
0
23 Jun 2020
Distribution-free binary classification: prediction sets, confidence intervals and calibration
Chirag Gupta
Aleksandr Podkopaev
Aaditya Ramdas
UQCV
492
92
0
18 Jun 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCV
BDL
814
517
0
17 Jun 2020
Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets
Zhihui Shao
Jianyi Yang
Shaolei Ren
OODD
195
11
0
16 Jun 2020
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