conftrace_

label shift

53 papers

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Co-occurring keywords

domain adaptation (4595) distribution shift (722) transfer learning (5449) covariate shift (157) adversarial learning (1595) domain generalization (1522) distribution alignment (124) invariant representation (65) label distribution (60) distribution matching (127)

Papers

Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret CVPR 2025
Open Set Label Shift with Test Time Out-of-Distribution Reference CVPR 2025
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift AAAI 2025
One-step Label Shift Adaptation via Robust Weight Estimation IJCAI 2025
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms JMLR 2025
Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data NAACL 2025
Stochastic Binary Network for Universal Domain Adaptation WACV 2024
What Causes the Failure of Explicit to Implicit Discourse Relation Recognition? NAACL 2024
LaSCal: Label-Shift Calibration without target labels NIPS 2024
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach WACV 2024
Sequential Harmful Shift Detection Without Labels NIPS 2024
DWLR: Domain Adaptation under Label Shift for Wearable Sensor IJCAI 2024
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation NIPS 2024
Discriminative-Invariant Representation Learning for Unbiased Recommendation IJCAI 2023
Mind the Label Shift of Augmentation-Based Graph OOD Generalization CVPR 2023
Domain Adaptation under Missingness Shift AISTATS 2023
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations NIPS 2023
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift ICML 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift ICML 2023
MOT: Masked Optimal Transport for Partial Domain Adaptation CVPR 2023
Domain Adaptation for Time Series Under Feature and Label Shifts ICML 2023
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models ICML 2023
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts ICCV 2023
Generative Calibration for In-context Learning EMNLP 2023
On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets NIPS 2023