Distribution Shift

AKCIT-UFG at SemEval-2026 Task 8: Structured Chunking and Optimized Query Reformulation for Efficient Multi-Turn Retrieval SemEval 2026 Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift ALT 2026 Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models JMLR 2026 Calibration-Aware Online Adaptation under Label Shift UAI 2026 Diagnosing Conformal Prediction Failures Under Distribution Shift: A COVID-19 Case Study UAI 2026 Efficient and Provable Algorithms for Covariate Shift ALT 2026 Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift COLT 2026 FedAlign: Differentially Private Distribution Alignment for Non-IID Federated Learning CVPR 2026 Is Exchangeability better than I.I.D. to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation? MIDL 2026 LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks ACL 2026 Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance ACL 2026 MINDS at SemEval-2026-Task 13: Robust Detection of Machine-Generated Code under Distribution Shift SemEval 2026 Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift UAI 2026 Multi-modal Test-time Adaptation via Adaptive Probabilistic Gaussian Calibration CVPR 2026 Score-Based Diffusion Priors for Adaptive Conformal Inference under Distribution Shift UAI 2026 Structural Drift Repair in Decision Trees via Bayesian Model-Based Diagnosis UAI 2026 Unified Confidence Adjustment for Robust Cross-Modal Retrieval under Test-Time Distribution Shifts UAI 2026 Valid and Efficient Uncertainty Quantification for Federated Joint Shift UAI 2026 When Environments Shift: Safe Planning with Generative Priors and Robust Conformal Prediction L4DC 2026 YNU-HPCC at SemEval-2026 Task 13: Robust Machine-Generated Code Detection under Distribution Shifts SemEval 2026 Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation AISTATS 2025 Adapting Prediction Sets to Distribution Shifts Without Labels UAI 2025 Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach AISTATS 2025 Addressing Label Shift in Distributed Learning via Entropy Regularization​ ICLR 2025 A Layer Selection Approach to Test Time Adaptation AAAI 2025