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2007.08259
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Transferable Calibration with Lower Bias and Variance in Domain Adaptation
Neural Information Processing Systems (NeurIPS), 2020
16 July 2020
Ximei Wang
Mingsheng Long
Jianmin Wang
Sai Li
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Papers citing
"Transferable Calibration with Lower Bias and Variance in Domain Adaptation"
37 / 37 papers shown
When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation
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Jinshi Liu
182
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0
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CARE: Confidence-aware Ratio Estimation for Medical Biomarkers
Jiameng Li
Teodora Popordanoska
A. Tiulpin
Sebastian G. Gruber
F. Maes
Matthew B. Blaschko
OOD
375
0
0
26 May 2025
On the Interconnections of Calibration, Quantification, and Classifier Accuracy Prediction under Dataset Shift
Alejandro Moreo
287
3
0
16 May 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Toghrul Abbasli
Kentaroh Toyoda
Yuan Wang
Leon Witt
Muhammad Asif Ali
Yukai Miao
Dan Li
Qingsong Wei
UQCV
HILM
695
2
0
25 Apr 2025
Fair Text Classification via Transferable Representations
Thibaud Leteno
Michael Perrot
Charlotte Laclau
Antoine Gourru
Christophe Gravier
FaML
516
0
0
10 Mar 2025
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy
Coby Penso
Jacob Goldberger
329
0
0
06 Sep 2024
Optimizing Calibration by Gaining Aware of Prediction Correctness
Yuchi Liu
Lei Wang
Yuli Zou
James Zou
Liang Zheng
UQCV
573
6
0
19 Apr 2024
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
Zhuliang Yu
Guohao Chen
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
Peilin Zhao
Shuaicheng Niu
TTA
OOD
392
16
0
18 Mar 2024
Towards Calibrated Deep Clustering Network
Yuheng Jia
Jianhong Cheng
Hui Liu
Junhui Hou
UQCV
609
5
0
04 Mar 2024
Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration
Jiexin Wang
Jiahao Chen
Fuchun Sun
UQCV
301
1
0
14 Feb 2024
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
Prithvijit Chattopadhyay
Bharat Goyal
B. Ecsedi
Viraj Prabhu
Judy Hoffman
337
2
0
11 Dec 2023
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift
AAAI Conference on Artificial Intelligence (AAAI), 2023
Dexter Neo
Stefan Winkler
Tsuhan Chen
OODD
368
9
0
26 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation
International Conference on Machine Learning (ICML), 2023
Taejong Joo
Diego Klabjan
475
1
0
16 Oct 2023
Confidence Calibration for Systems with Cascaded Predictive Modules
Yunye Gong
Yi Yao
Xiao Lin
Ajay Divakaran
Melinda Gervasio
286
1
0
21 Sep 2023
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation
Dapeng Hu
Jian Liang
Xinchao Wang
Chuan-Sheng Foo
252
0
0
14 Jul 2023
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution
Computer Vision and Pattern Recognition (CVPR), 2023
Jiahao Chen
Bingyue Su
259
28
0
13 Apr 2023
Reliability in Semantic Segmentation: Are We on the Right Track?
Computer Vision and Pattern Recognition (CVPR), 2023
Pau de Jorge
Riccardo Volpi
Juil Sock
Grégory Rogez
UQCV
210
29
0
20 Mar 2023
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift
Yu-Hui Zou
Weijian Deng
Liang Zheng
OODD
156
2
0
09 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
313
16
0
10 Feb 2023
Modeling Uncertain Feature Representation for Domain Generalization
Xiaotong Li
Zixuan Hu
Jun Liu
Yixiao Ge
Yongxing Dai
Ling-Yu Duan
OOD
284
7
0
16 Jan 2023
On Calibrating Semantic Segmentation Models: Analyses and An Algorithm
Computer Vision and Pattern Recognition (CVPR), 2022
Dongdong Wang
Boqing Gong
Liqiang Wang
410
34
0
22 Dec 2022
Fast and Accurate Importance Weighting for Correcting Sample Bias
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
296
10
0
09 Sep 2022
Robust Calibration with Multi-domain Temperature Scaling
Neural Information Processing Systems (NeurIPS), 2022
Yaodong Yu
Stephen Bates
Yi-An Ma
Michael I. Jordan
OOD
UQCV
257
49
0
06 Jun 2022
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling
European Conference on Computer Vision (ECCV), 2022
Jian Hu
Haowen Zhong
Junchi Yan
S. Gong
Guile Wu
Fei Yang
363
15
0
02 Jun 2022
Decision-Making under Miscalibration
Information Technology Convergence and Services (ITCS), 2022
G. Rothblum
G. Yona
252
6
0
18 Mar 2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yadan Luo
Zijian Wang
Zhuoxiao Chen
Zi Huang
Mahsa Baktashmotlagh
AI4CE
398
47
0
13 Feb 2022
Uncertainty Modeling for Out-of-Distribution Generalization
International Conference on Learning Representations (ICLR), 2022
Xiaotong Li
Yongxing Dai
Yixiao Ge
Jun Liu
Ying Shan
Ling-Yu Duan
OODD
OOD
402
232
0
08 Feb 2022
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers
AAAI Conference on Artificial Intelligence (AAAI), 2022
Payam Karisani
220
6
0
28 Jan 2022
Training on Test Data with Bayesian Adaptation for Covariate Shift
Aurick Zhou
Sergey Levine
OOD
TTA
332
13
0
27 Sep 2021
PAC Prediction Sets Under Covariate Shift
International Conference on Learning Representations (ICLR), 2021
Sangdon Park
Guang Cheng
Insup Lee
Osbert Bastani
337
52
0
17 Jun 2021
Frustratingly Easy Uncertainty Estimation for Distribution Shift
Tiago Salvador
Vikram S. Voleti
Alexander Iannantuono
Adam M. Oberman
OOD
UQCV
250
1
0
07 Jun 2021
Confidence Calibration for Domain Generalization under Covariate Shift
IEEE International Conference on Computer Vision (ICCV), 2021
Yunye Gong
Xiaoyu Lin
Yi Yao
Thomas G. Dietterich
Ajay Divakaran
Melinda Gervasio
255
35
0
01 Apr 2021
On Calibration and Out-of-domain Generalization
Neural Information Processing Systems (NeurIPS), 2021
Yoav Wald
Amir Feder
D. Greenfeld
Uri Shalit
OODD
580
175
0
20 Feb 2021
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
1.2K
2,461
0
12 Nov 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
483
7
0
08 Oct 2020
Cross-regional oil palm tree counting and detection via multi-level attention domain adaptation network
Isprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2020
Lixian Zhang
Haohuan Fu
Weijia Li
Wenzhao Wu
Yi Zhao
Runmin Dong
Le Yu
185
86
0
26 Aug 2020
Adversarial Discriminative Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
1.5K
5,165
0
17 Feb 2017
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