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2003.04475
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Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Neural Information Processing Systems (NeurIPS), 2020
10 March 2020
Rémi Tachet des Combes
Han Zhao
Yu Wang
Geoffrey J. Gordon
OOD
AAML
VLM
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Papers citing
"Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift"
50 / 124 papers shown
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Domain Adaptation and Entanglement: an Optimal Transport Perspective
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Structural Alignment Improves Graph Test-Time Adaptation
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Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models
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CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
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Lam C. Tran
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330
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325
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Invariant Shape Representation Learning For Image Classification
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Adapting to Shifting Correlations with Unlabeled Data Calibration
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Alan Q. Wang
Heejong Kim
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Yibin Wen
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482
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529
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Zhen Zhang
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336
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When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights
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280
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270
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Deyu Zou
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459
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Jiayi Shen
Mohammad Mahdi Derakhshani
Tianran Ouyang
Cees G. M. Snoek
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VPVLM
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386
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Ruihan Wu
Siddhartha Datta
Yi Su
Dheeraj Baby
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200
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543
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Robust Learning via Conditional Prevalence Adjustment
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Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching
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Structural Re-weighting Improves Graph Domain Adaptation
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Yongbin Feng
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Source-free Domain Adaptation Requires Penalized Diversity
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Farhood Farahnak
Alexandre See
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Y. Hao
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