distribution shift

Handling Distribution Shifts on Graphs: An Invariance Perspective ICLR 2022 How to Learn when Data Gradually Reacts to Your Model AISTATS 2022 Improving Out-of-Distribution Robustness via Selective Augmentation ICML 2022 Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification ICML 2022 Is Importance Weighting Incompatible with Interpolating Classifiers? ICLR 2022 Is Out-of-Distribution Detection Learnable? NeurIPS 2022 Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks NeurIPS 2022 Learning Distributionally Robust Models at Scale via Composite Optimization ICLR 2022 Learning Substructure Invariance for Out-of-Distribution Molecular Representations NeurIPS 2022 Learning To Generate the Unknowns as a Remedy to the Open-Set Domain Shift WACV 2022 Leveraging unlabeled data to predict out-of-distribution performance ICLR 2022 LOSSY COMPRESSION WITH DISTRIBUTION SHIFT AS ENTROPY CONSTRAINED OPTIMAL TRANSPORT ICLR 2022 Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control ICML 2022 MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining ICLR 2022 Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization ICML 2022 MEMO: Test Time Robustness via Adaptation and Augmentation NeurIPS 2022 MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts ICLR 2022 Mildly Conservative Q-Learning for Offline Reinforcement Learning NeurIPS 2022 Minimax optimal approaches to the label shift problem in non-parametric settings JMLR 2022 Minimax Regret Optimization for Robust Machine Learning under Distribution Shift COLT 2022 Models Out of Line: A Fourier Lens on Distribution Shift Robustness NeurIPS 2022 Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation NeurIPS 2022 NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation NeurIPS 2022 Offline Meta-Reinforcement Learning with Online Self-Supervision ICML 2022 Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization ICLR 2022