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2003.00343
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Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
29 February 2020
Sangdon Park
Osbert Bastani
James Weimer
Insup Lee
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Papers citing
"Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation"
31 / 31 papers shown
Semi-supervised Deep Transfer for Regression without Domain Alignment
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Fair Text Classification via Transferable Representations
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Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization
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Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception
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Nastaran Darabi
Sina Tayebati
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VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentation
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Ericmoore Jossou
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22 Oct 2024
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
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Guohao Chen
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
Peilin Zhao
Shuaicheng Niu
TTA
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392
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18 Mar 2024
Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration
Jiexin Wang
Jiahao Chen
Fuchun Sun
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301
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14 Feb 2024
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Neural Information Processing Systems (NeurIPS), 2023
Changdae Oh
Hyesu Lim
Mijoo Kim
Dongyoon Han
Junhyeok Park
Euiseog Jeong
Alexander G. Hauptmann
Zhi-Qi Cheng
Kyungwoo Song
VLM
793
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03 Nov 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
470
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16 Oct 2023
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error
ACM Multimedia (ACM MM), 2023
Zixin Wang
Yadan Luo
Zhi Chen
Sen Wang
Zi Huang
385
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0
06 Aug 2023
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation
Dapeng Hu
Jian Liang
Xinchao Wang
Chuan-Sheng Foo
252
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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
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13 Apr 2023
Calibrating AI Models for Wireless Communications via Conformal Prediction
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
K. Cohen
Sangwoo Park
Osvaldo Simeone
S. Shamai
374
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15 Dec 2022
On the Calibration of Massively Multilingual Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Kabir Ahuja
Sunayana Sitaram
Sandipan Dandapat
Monojit Choudhury
273
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0
21 Oct 2022
Estimating and Explaining Model Performance When Both Covariates and Labels Shift
Neural Information Processing Systems (NeurIPS), 2022
Lingjiao Chen
Matei A. Zaharia
James Zou
305
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0
18 Sep 2022
Fast and Accurate Importance Weighting for Correcting Sample Bias
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
295
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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
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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
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Minghan Li
Xinyu Crystina Zhang
Ji Xin
Hongyang R. Zhang
Jimmy J. Lin
237
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0
19 May 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
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13 Feb 2022
Training on Test Data with Bayesian Adaptation for Covariate Shift
Aurick Zhou
Sergey Levine
OOD
TTA
332
13
0
27 Sep 2021
Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected Communities
Geoffrey Pettet
Ayan Mukhopadhyay
Mykel J. Kochenderfer
A. Dubey
336
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0
02 Jul 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
Scalable Causal Domain Adaptation
Mohammad Ali Javidian
O. Pandey
Pooyan Jamshidi
CML
459
6
0
27 Feb 2021
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data
Dennis Ulmer
L. Meijerink
Giovanni Cina
OOD
308
86
0
06 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
750
27
0
02 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
Transferable Calibration with Lower Bias and Variance in Domain Adaptation
Neural Information Processing Systems (NeurIPS), 2020
Ximei Wang
Mingsheng Long
Jianmin Wang
Sai Li
236
68
0
16 Jul 2020
Distribution-free binary classification: prediction sets, confidence intervals and calibration
Chirag Gupta
Aleksandr Podkopaev
Aaditya Ramdas
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632
92
0
18 Jun 2020
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