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2003.06820
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Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks
Neural Information Processing Systems (NeurIPS), 2020
15 March 2020
Amir M. Rahimi
Amirreza Shaban
Ching-An Cheng
Leonid Sigal
Byron Boots
UQCV
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Papers citing
"Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks"
50 / 52 papers shown
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300
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0
12 Jun 2025
Optimizing Estimators of Squared Calibration Errors in Classification
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Francis Bach
521
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A calibration test for evaluating set-based epistemic uncertainty representations
Machine-mediated learning (ML), 2025
Mira Jürgens
Thomas Mortier
Eyke Hüllermeier
Viktor Bengs
Willem Waegeman
487
5
0
22 Feb 2025
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
AAAI Conference on Artificial Intelligence (AAAI), 2024
Jinzong Dong
Zhaohui Jiang
Dong Pan
Haoyang Yu
427
3
0
14 Dec 2024
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets
Kangdao Liu
Hao Zeng
Jianguo Huang
Huiping Zhuang
Chi-Man Vong
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569
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0
12 Oct 2024
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset
Mijoo Kim
Junseok Kwon
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212
3
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17 Jul 2024
Weighted Aggregation of Conformity Scores for Classification
Rui Luo
Zhixin Zhou
848
12
0
14 Jul 2024
Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration
International Conference on Machine Learning (ICML), 2024
Gyusang Cho
Chan-Hyun Youn
297
1
0
14 Jun 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler
Hongyi Peng
Han Yu
Xiaoli Tang
Xiaoxiao Li
402
10
0
24 May 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
UQCV
380
20
0
05 Mar 2024
Confidence-Aware Multi-Field Model Calibration
Yuang Zhao
Chuhan Wu
Qinglin Jia
Hong Zhu
Jia Yan
Libin Zong
Linxuan Zhang
Zhenhua Dong
Muyu Zhang
443
5
0
27 Feb 2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
Puja Trivedi
Mark Heimann
Rushil Anirudh
Danai Koutra
Jayaraman J. Thiagarajan
UQCV
421
8
0
07 Jan 2024
SimCalib: Graph Neural Network Calibration based on Similarity between Nodes
Boshi Tang
Zhiyong Wu
Xixin Wu
Qiaochu Huang
Jun Chen
Shunwei Lei
Helen M. Meng
244
13
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19 Dec 2023
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Teodora Popordanoska
Sebastian G. Gruber
A. Tiulpin
Florian Buettner
Matthew B. Blaschko
347
8
0
14 Dec 2023
Temperature-scaling surprisal estimates improve fit to human reading times -- but does it do so for the "right reasons"?
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Tong Liu
Iza vSkrjanec
Vera Demberg
474
14
0
15 Nov 2023
Uncertainty Estimation for Molecules: Desiderata and Methods
International Conference on Machine Learning (ICML), 2023
Tom Wollschlager
Nicholas Gao
Bertrand Charpentier
Mohamed Amine Ketata
Stephan Günnemann
419
12
0
20 Jun 2023
Scaling of Class-wise Training Losses for Post-hoc Calibration
International Conference on Machine Learning (ICML), 2023
Seungjin Jung
Seung-Woo Seo
Yonghyun Jeong
Jongwon Choi
249
8
0
19 Jun 2023
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping
Neural Information Processing Systems (NeurIPS), 2023
Jia-Qi Yang
De-Chuan Zhan
Le Gan
UQCV
337
7
0
08 Jun 2023
Minimum-Risk Recalibration of Classifiers
Neural Information Processing Systems (NeurIPS), 2023
Zeyu Sun
Dogyoon Song
Alfred Hero
329
9
0
18 May 2023
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
259
7
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11 Apr 2023
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift
Yu-Hui Zou
Weijian Deng
Liang Zheng
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156
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09 Mar 2023
Rethinking Confidence Calibration for Failure Prediction
European Conference on Computer Vision (ECCV), 2023
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
UQCV
397
58
0
06 Mar 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
International Conference on Machine Learning (ICML), 2023
Christian Tomani
Futa Waseda
Yuesong Shen
Zorah Lähner
UQCV
311
15
0
10 Feb 2023
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Yahan Yang
Soham Dan
Dan Roth
Insup Lee
355
8
0
20 Dec 2022
What Makes Graph Neural Networks Miscalibrated?
Neural Information Processing Systems (NeurIPS), 2022
Hans Hao-Hsun Hsu
Yuesong Shen
Christian Tomani
Zorah Lähner
324
49
0
12 Oct 2022
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks
Sérgio A. Balanya
Juan Maroñas
Daniel Ramos
OOD
330
50
0
31 Jul 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier
Applied Soft Computing (ASC), 2022
Bartosz Wójcik
J. Grela
Marek Śmieja
Krzysztof Misztal
Jacek Tabor
UQCV
383
4
0
28 Jun 2022
Uncertainty Calibration for Deep Audio Classifiers
Interspeech (Interspeech), 2022
Tong Ye
Shijing Si
Jianzong Wang
Ning Cheng
Jing Xiao
UQCV
273
1
0
27 Jun 2022
Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks
S. Shi
Jian Chen
Kai Qiao
Shuai Yang
Linyuan Wang
B. Yan
GNN
207
1
0
08 May 2022
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yantao Gong
Cao Liu
Fan Yang
Xunliang Cai
Guanglu Wan
Jiansong Chen
Weipeng Zhang
Houfeng Wang
UQCV
233
4
0
17 Mar 2022
On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers
Machine-mediated learning (ML), 2022
Markus Kängsepp
Kaspar Valk
Meelis Kull
392
4
0
16 Mar 2022
Better Uncertainty Calibration via Proper Scores for Classification and Beyond
Neural Information Processing Systems (NeurIPS), 2022
Sebastian G. Gruber
Florian Buettner
UQCV
326
74
0
15 Mar 2022
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
International Conference on Learning Representations (ICLR), 2022
Zhen Lin
Shubhendu Trivedi
Jimeng Sun
296
8
0
15 Feb 2022
Obtaining Calibrated Probabilities with Personalized Ranking Models
Wonbin Kweon
SeongKu Kang
Hwanjo Yu
FedML
234
20
0
09 Dec 2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data
Junjiao Tian
Yen-Change Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
366
8
0
28 Oct 2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
Xiao Wang
Hongrui Liu
Chuan Shi
Cheng Yang
UQCV
528
136
0
29 Sep 2021
Top-label calibration and multiclass-to-binary reductions
International Conference on Learning Representations (ICLR), 2021
Chirag Gupta
Aaditya Ramdas
351
50
0
18 Jul 2021
Frustratingly Easy Uncertainty Estimation for Distribution Shift
Tiago Salvador
Vikram S. Voleti
Alexander Iannantuono
Adam M. Oberman
OOD
UQCV
243
1
0
07 Jun 2021
Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks
Thibaut Théate
Antoine Wehenkel
Adrien Bolland
Gilles Louppe
D. Ernst
188
8
0
06 Jun 2021
Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions
Bertrand Charpentier
Oliver Borchert
Daniel Zügner
Simon Geisler
Stephan Günnemann
UQCV
BDL
347
21
0
10 May 2021
Approximating Instance-Dependent Noise via Instance-Confidence Embedding
Yivan Zhang
Masashi Sugiyama
166
10
0
25 Mar 2021
Confidence Calibration with Bounded Error Using Transformations
Sooyong Jang
Radoslav Ivanov
Insup Lee
James Weimer
UQCV
216
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
293
55
0
24 Feb 2021
On Calibration and Out-of-domain Generalization
Neural Information Processing Systems (NeurIPS), 2021
Yoav Wald
Amir Feder
D. Greenfeld
Uri Shalit
OODD
578
174
0
20 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
352
46
0
15 Feb 2021
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization
International Conference on Machine Learning (ICML), 2021
Yivan Zhang
Gang Niu
Masashi Sugiyama
NoLa
298
106
0
04 Feb 2021
Improving Classifier Confidence using Lossy Label-Invariant Transformations
Sooyong Jang
Insup Lee
James Weimer
UQCV
254
8
0
09 Nov 2020
Local Temperature Scaling for Probability Calibration
IEEE International Conference on Computer Vision (ICCV), 2020
Zhipeng Ding
Xu Han
Peirong Liu
Marc Niethammer
503
105
0
12 Aug 2020
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain
Takahiro Mimori
Keiko Sasada
H. Matsui
Issei Sato
UQCV
413
10
0
03 Jul 2020
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