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Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
29 November 2020
Kamyar Azizzadenesheli
OOD
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Papers citing
"Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift"
8 / 8 papers shown
An Efficient Plugin Method for Metric Optimization of Black-Box Models
Siddartha Devic
Nurendra Choudhary
Anirudh Srinivasan
Sahika Genc
Branislav Kveton
Gaurush Hiranandani
383
0
0
03 Mar 2025
UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration
Chung-ju Huang
Yuanpeng He
Xiao Han
Wenpin Jiao
Zhi Jin
Leye Wang
FedML
317
5
0
20 Jan 2025
Contrastive Conditional Alignment based on Label Shift Calibration for Imbalanced Domain Adaptation
International Conference on Pattern Recognition (ICPR), 2024
Xiaona Sun
Zhenyu Wu
Zhiqiang Zhan
Yang Ji
328
1
0
31 Dec 2024
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture
Ruidong Fan
Xiao Ouyang
Hong Tao
Yuhua Qian
Chenping Hou
OOD
345
1
0
04 Nov 2024
centroIDA: Cross-Domain Class Discrepancy Minimization Based on Accumulative Class-Centroids for Imbalanced Domain Adaptation
Xiaona Sun
Zhenyu Wu
Yichen Liu
Saier Hu
Zhiqiang Zhan
Yang Ji
326
1
0
21 Aug 2023
Federated Learning under Covariate Shifts with Generalization Guarantees
Ali Ramezani-Kebrya
Fanghui Liu
Thomas Pethick
Grigorios G. Chrysos
Volkan Cevher
FedML
OOD
391
12
0
08 Jun 2023
Sparse joint shift in multinomial classification
Foundations of Data Science (FDS), 2023
Dirk Tasche
308
4
0
29 Mar 2023
Functional Linear Regression of Cumulative Distribution Functions
Qian Zhang
A. Makur
Kamyar Azizzadenesheli
232
3
0
28 May 2022
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