Distribution Shift

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting AAAI 2023 Distribution-Free Statistical Dispersion Control for Societal Applications NeurIPS 2023 DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023 Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NeurIPS 2023 Fast Contextual Scene Graph Generation With Unbiased Context Augmentation CVPR 2023 Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models CVPR 2023 Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems NeurIPS 2023 GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective ACL 2023 Identifying Selection Bias from Observational Data AAAI 2023 Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap AAAI 2023 Online Learning in Dynamically Changing Environments COLT 2023 On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization AAAI 2023 On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets NeurIPS 2023 Prediction with Incomplete Data under Agnostic Mask Distribution Shift IJCAI 2023 Predictor-corrector algorithms for stochastic optimization under gradual distribution shift ICLR 2023 Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications EMNLP 2023 Reliable learning in challenging environments NeurIPS 2023 Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection AAAI 2023 Robust Prompt Optimization for Large Language Models Against Distribution Shifts EMNLP 2023 Stable Learning via Sparse Variable Independence AAAI 2023 Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks EMNLP 2023 Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows NeurIPS 2023 Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective COLT 2023 TIPI: Test Time Adaptation With Transformation Invariance CVPR 2023 Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP EMNLP 2023