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Measuring Calibration in Deep Learning

Measuring Calibration in Deep Learning

2 April 2019
Jeremy Nixon
Michael W. Dusenberry
Ghassen Jerfel
Timothy Nguyen
Jeremiah Zhe Liu
Linchuan Zhang
Dustin Tran
    UQCV
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Papers citing "Measuring Calibration in Deep Learning"

50 / 310 papers shown
Title
Towards Unbiased Calibration using Meta-Regularization
Towards Unbiased Calibration using Meta-Regularization
Cheng Wang
Jacek Golebiowski
39
1
0
27 Mar 2023
Reliability in Semantic Segmentation: Are We on the Right Track?
Reliability in Semantic Segmentation: Are We on the Right Track?
Pau de Jorge
Riccardo Volpi
Philip Torr
Grégory Rogez
UQCV
26
19
0
20 Mar 2023
Calibration of Neural Networks
Calibration of Neural Networks
Ruslan Vasilev
A. Dýakonov
15
8
0
19 Mar 2023
Validation of uncertainty quantification metrics: a primer based on the
  consistency and adaptivity concepts
Validation of uncertainty quantification metrics: a primer based on the consistency and adaptivity concepts
P. Pernot
15
6
0
13 Mar 2023
Machine learning for sports betting: should model selection be based on
  accuracy or calibration?
Machine learning for sports betting: should model selection be based on accuracy or calibration?
Conor Walsh
Alok Joshi
23
1
0
10 Mar 2023
Adaptive Calibrator Ensemble for Model Calibration under Distribution
  Shift
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift
Yu-Hui Zou
Weijian Deng
Liang Zheng
OODD
25
2
0
09 Mar 2023
Rethinking Confidence Calibration for Failure Prediction
Rethinking Confidence Calibration for Failure Prediction
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
UQCV
22
39
0
06 Mar 2023
A Survey on Uncertainty Quantification Methods for Deep Learning
A Survey on Uncertainty Quantification Methods for Deep Learning
Wenchong He
Zhe Jiang
Tingsong Xiao
Zelin Xu
Yukun Li
BDL
UQCV
AI4CE
27
19
0
26 Feb 2023
What Can We Learn From The Selective Prediction And Uncertainty
  Estimation Performance Of 523 Imagenet Classifiers
What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers
Ido Galil
Mohammed Dabbah
Ran El-Yaniv
UQCV
38
25
0
23 Feb 2023
Distilling Calibrated Student from an Uncalibrated Teacher
Distilling Calibrated Student from an Uncalibrated Teacher
Ishan Mishra
Sethu Vamsi Krishna
Deepak Mishra
FedML
40
2
0
22 Feb 2023
Calibrating the Rigged Lottery: Making All Tickets Reliable
Calibrating the Rigged Lottery: Making All Tickets Reliable
Bowen Lei
Ruqi Zhang
Dongkuan Xu
Bani Mallick
UQCV
27
7
0
18 Feb 2023
On (assessing) the fairness of risk score models
On (assessing) the fairness of risk score models
Eike Petersen
M. Ganz
Sune Holm
Aasa Feragen
FaML
28
20
0
17 Feb 2023
Calibrating a Deep Neural Network with Its Predecessors
Calibrating a Deep Neural Network with Its Predecessors
Linwei Tao
Minjing Dong
Daochang Liu
Changming Sun
Chang Xu
BDL
UQCV
16
5
0
13 Feb 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Zifu Wang
Xuefei Ning
Matthew B. Blaschko
VLM
39
12
0
11 Feb 2023
On the Richness of Calibration
On the Richness of Calibration
Benedikt Höltgen
Robert C. Williamson
13
9
0
08 Feb 2023
Long Horizon Temperature Scaling
Long Horizon Temperature Scaling
Andy Shih
Dorsa Sadigh
Stefano Ermon
DiffM
29
14
0
07 Feb 2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and
  Applications
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications
Chengyu Dong
OOD
UQCV
BDL
AI4CE
44
0
0
02 Feb 2023
Weakly Supervised Joint Whole-Slide Segmentation and Classification in
  Prostate Cancer
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer
Pushpak Pati
Guillaume Jaume
Zeineb Ayadi
Kevin Thandiackal
Behzad Bozorgtabar
M. Gabrani
O. Goksel
20
17
0
07 Jan 2023
Benchmarking common uncertainty estimation methods with
  histopathological images under domain shift and label noise
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise
H. A. Mehrtens
Alexander Kurz
Tabea-Clara Bucher
T. Brinker
OOD
UQCV
205
11
0
03 Jan 2023
DDSupport: Language Learning Support System that Displays Differences
  and Distances from Model Speech
DDSupport: Language Learning Support System that Displays Differences and Distances from Model Speech
Kazuki Kawamura
Jun Rekimoto
38
0
0
08 Dec 2022
Investigating Deep Learning Model Calibration for Classification
  Problems in Mechanics
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics
S. Mohammadzadeh
Peerasait Prachaseree
Emma Lejeune
AI4CE
39
2
0
01 Dec 2022
A Unifying Theory of Distance from Calibration
A Unifying Theory of Distance from Calibration
Jarosław Błasiok
Parikshit Gopalan
Lunjia Hu
Preetum Nakkiran
31
33
0
30 Nov 2022
Predicting adverse outcomes following catheter ablation treatment for
  atrial fibrillation
Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation
J. Quiroz
D. Brieger
Louisa R Jorm
R. Sy
B. Hsu
B. Gallego
30
0
0
22 Nov 2022
Layer-Stack Temperature Scaling
Layer-Stack Temperature Scaling
Amr Khalifa
Michael C. Mozer
Hanie Sedghi
Behnam Neyshabur
Ibrahim M. Alabdulmohsin
81
2
0
18 Nov 2022
Introduction and Exemplars of Uncertainty Decomposition
Introduction and Exemplars of Uncertainty Decomposition
Shuo Chen
UD
UQCV
PER
35
0
0
17 Nov 2022
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC
  Diabetic Retinopathy Detection
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection
Pratinav Seth
Adil Mehmood Khan
Ananya Gupta
Saurabh Mishra
Akshat Bhandhari
31
0
0
06 Nov 2022
Behavioral Intention Prediction in Driving Scenes: A Survey
Behavioral Intention Prediction in Driving Scenes: A Survey
Jianwu Fang
Fan Wang
Jianru Xue
Tat-Seng Chua
65
44
0
01 Nov 2022
A Close Look into the Calibration of Pre-trained Language Models
A Close Look into the Calibration of Pre-trained Language Models
Yangyi Chen
Lifan Yuan
Ganqu Cui
Zhiyuan Liu
Heng Ji
48
44
0
31 Oct 2022
Stop Measuring Calibration When Humans Disagree
Stop Measuring Calibration When Humans Disagree
Joris Baan
Wilker Aziz
Barbara Plank
Raquel Fernández
29
53
0
28 Oct 2022
Useful Confidence Measures: Beyond the Max Score
Useful Confidence Measures: Beyond the Max Score
G. Yona
Amir Feder
Itay Laish
81
5
0
25 Oct 2022
Confidence-Calibrated Face and Kinship Verification
Confidence-Calibrated Face and Kinship Verification
Min Xu
Ximiao Zhang
Xiuzhuang Zhou
CVBM
37
4
0
25 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the
  Impact of Method & Data Scarcity
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Dennis Ulmer
J. Frellsen
Christian Hardmeier
200
22
0
20 Oct 2022
On the calibration of underrepresented classes in LiDAR-based semantic
  segmentation
On the calibration of underrepresented classes in LiDAR-based semantic segmentation
M. Dreissig
Florian Piewak
Joschka Boedecker
33
1
0
13 Oct 2022
Can Calibration Improve Sample Prioritization?
Can Calibration Improve Sample Prioritization?
Ganesh Tata
Gautham Krishna Gudur
Gopinath Chennupati
Mohammad Emtiyaz Khan
11
0
0
12 Oct 2022
On the Importance of Calibration in Semi-supervised Learning
On the Importance of Calibration in Semi-supervised Learning
Charlotte Loh
Rumen Dangovski
Shivchander Sudalairaj
Seung-Jun Han
Ligong Han
Leonid Karlinsky
Marin Soljacic
Akash Srivastava
29
6
0
10 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
34
81
0
05 Oct 2022
The Calibration Generalization Gap
The Calibration Generalization Gap
Annabelle Carrell
Neil Rohit Mallinar
James Lucas
Preetum Nakkiran
UQCV
34
18
0
05 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging
MEDFAIR: Benchmarking Fairness for Medical Imaging
Yongshuo Zong
Yongxin Yang
Timothy M. Hospedales
OOD
81
59
0
04 Oct 2022
Predictive Inference with Feature Conformal Prediction
Predictive Inference with Feature Conformal Prediction
Jiaye Teng
Chuan Wen
Dinghuai Zhang
Yoshua Bengio
Yang Gao
Yang Yuan
34
26
0
01 Oct 2022
Neural Clamping: Joint Input Perturbation and Temperature Scaling for
  Neural Network Calibration
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration
Yu Tang
Pin-Yu Chen
Tsung-Yi Ho
31
5
0
23 Sep 2022
Analysis and Comparison of Classification Metrics
Analysis and Comparison of Classification Metrics
Luciana Ferrer
31
19
0
12 Sep 2022
Active Learning and Novel Model Calibration Measurements for Automated
  Visual Inspection in Manufacturing
Active Learning and Novel Model Calibration Measurements for Automated Visual Inspection in Manufacturing
Jože M. Rožanec
Luka Bizjak
Elena Trajkova
Patrik Zajec
Jelle Keizer
B. Fortuna
Dunja Mladenić
26
11
0
12 Sep 2022
GRASP: A Goodness-of-Fit Test for Classification Learning
GRASP: A Goodness-of-Fit Test for Classification Learning
Adel Javanmard
M. Mehrabi
17
0
0
05 Sep 2022
A Principled Evaluation Protocol for Comparative Investigation of the
  Effectiveness of DNN Classification Models on Similar-but-non-identical
  Datasets
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets
Esla Timothy Anzaku
Haohan Wang
Arnout Van Messem
W. D. Neve
41
2
0
05 Sep 2022
Calibrated Selective Classification
Calibrated Selective Classification
Adam Fisch
Tommi Jaakkola
Regina Barzilay
34
17
0
25 Aug 2022
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
Harshit Joshi
J. Cambronero
Sumit Gulwani
Vu Le
Ivan Radicek
Gust Verbruggen
LRM
28
125
0
24 Aug 2022
Deep Learning for Choice Modeling
Deep Learning for Choice Modeling
Zhongze Cai
Hanrui Wang
Kalyan Talluri
Xiaocheng Li
29
7
0
19 Aug 2022
Interpretable Uncertainty Quantification in AI for HEP
Interpretable Uncertainty Quantification in AI for HEP
Thomas Y. Chen
B. Dey
A. Ghosh
Michael Kagan
Brian D. Nord
Nesar Ramachandra
38
7
0
05 Aug 2022
Improved post-hoc probability calibration for out-of-domain MRI
  segmentation
Improved post-hoc probability calibration for out-of-domain MRI segmentation
Cheng Ouyang
Shuo Wang
Chong Chen
Zeju Li
Wenjia Bai
Bernhard Kainz
Daniel Rueckert
UQCV
MedIm
21
4
0
04 Aug 2022
Adaptive Temperature Scaling for Robust Calibration of Deep Neural
  Networks
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks
Sérgio A. Balanya
Juan Maroñas
Daniel Ramos
OOD
43
14
0
31 Jul 2022
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