label shift

Calibration-Aware Online Adaptation under Label Shift UAI 2026 Addressing Label Shift in Distributed Learning via Entropy Regularization​ ICLR 2025 CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift AAAI 2025 Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data NAACL 2025 Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret CVPR 2025 One-step Label Shift Adaptation via Robust Weight Estimation IJCAI 2025 Open Set Label Shift with Test Time Out-of-Distribution Reference CVPR 2025 Out-of-distribution Robust Optimization UAI 2025 Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms JMLR 2025 Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation ICLR 2024 DWLR: Domain Adaptation under Label Shift for Wearable Sensor IJCAI 2024 Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach WACV 2024 LaSCal: Label-Shift Calibration without target labels NeurIPS 2024 Online Feature Updates Improve Online (Generalized) Label Shift Adaptation NeurIPS 2024 PAC Prediction Sets Under Label Shift ICLR 2024 Pairwise Alignment Improves Graph Domain Adaptation ICML 2024 Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup ICML 2024 Sequential Harmful Shift Detection Without Labels NeurIPS 2024 Stochastic Binary Network for Universal Domain Adaptation WACV 2024 What Causes the Failure of Explicit to Implicit Discourse Relation Recognition? NAACL 2024 Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations NeurIPS 2023 Conformal Prediction for Federated Uncertainty Quantification Under Label Shift ICML 2023 Discriminative-Invariant Representation Learning for Unbiased Recommendation IJCAI 2023 Domain Adaptation for Time Series Under Feature and Label Shifts ICML 2023 Domain Adaptation under Missingness Shift AISTATS 2023