Distribution Shift

Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? EMNLP 2025 Reparameterizing Hybrid Markov Logic Networks to handle Covariate-Shift in Representations UAI 2025 Revisiting Large-Scale Non-convex Distributionally Robust Optimization ICLR 2025 Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders AISTATS 2025 Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval AAAI 2025 Testing Generalizability in Causal Inference UAI 2025 The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function AAAI 2025 Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation AAAI 2025 Training Data Soft Selection via Joint Density Ratio Estimation ACML 2025 What is the Right Notion of Distance between Predict-then-Optimize Tasks? UAI 2025 ActiveDC: Distribution Calibration for Active Finetuning CVPR 2024 Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NeurIPS 2024 AHA: Human-Assisted Out-of-Distribution Generalization and Detection NeurIPS 2024 AUC Maximization under Positive Distribution Shift NeurIPS 2024 Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations NeurIPS 2024 Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift NeurIPS 2024 Communication-Efficient Federated Group Distributionally Robust Optimization NeurIPS 2024 Context Consistency between Training and Inference in Simultaneous Machine Translation ACL 2024 Credal Learning Theory NeurIPS 2024 De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts CVPR 2024 Derandomizing Multi-Distribution Learning NeurIPS 2024 Distance-aware Calibration for Pre-trained Language Models EMNLP 2024 Distributionally Robust Performative Prediction NeurIPS 2024 Distribution Learning with Valid Outputs Beyond the Worst-Case NeurIPS 2024 Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models NeurIPS 2024