distribution shift

Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization ACL 2023 Model Transferability with Responsive Decision Subjects ICML 2023 Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap AAAI 2023 Multi-view graph contrastive learning for solving vehicle routing problems UAI 2023 Mutual Information Regularized Offline Reinforcement Learning NeurIPS 2023 Nearest Neighbor Guidance for Out-of-Distribution Detection ICCV 2023 Neural Priming for Sample-Efficient Adaptation NeurIPS 2023 NICO++: Towards Better Benchmarking for Domain Generalization CVPR 2023 ODS: Test-Time Adaptation in the Presence of Open-World Data Shift ICML 2023 Offline Meta Reinforcement Learning with In-Distribution Online Adaptation ICML 2023 Online Model Adaptation with Feedforward Compensation CoRL 2023 Online robust non-stationary estimation NeurIPS 2023 On Pitfalls of Test-Time Adaptation ICML 2023 On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis MIDL 2023 On the Adversarial Robustness of Out-of-distribution Generalization Models NeurIPS 2023 On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization AAAI 2023 On the Connection between Pre-training Data Diversity and Fine-tuning Robustness NeurIPS 2023 On the Impact of Algorithmic Recourse on Social Segregation ICML 2023 On the Importance of Feature Separability in Predicting Out-Of-Distribution Error NeurIPS 2023 On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets NeurIPS 2023 On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection NeurIPS 2023 On using distribution-based compositionality assessment to evaluate compositional generalisation in machine translation EMNLP 2023 Out-of-Distribution Detection and Selective Generation for Conditional Language Models ICLR 2023 Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future EMNLP 2023 Performative Prediction with Neural Networks AISTATS 2023