| A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View | Sep 15, 2024 | FairnessOut-of-Distribution Generalization | —Unverified | 0 |
| A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization | Sep 27, 2024 | Out-of-Distribution GeneralizationUncertainty Quantification | —Unverified | 0 |
| Generalizing to Unseen Domains: A Survey on Domain Generalization | Mar 2, 2021 | Domain GeneralizationOut-of-Distribution Generalization | —Unverified | 0 |
| Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric | Mar 23, 2023 | Out-of-Distribution GeneralizationQuantum Machine Learning | —Unverified | 0 |
| Generative RLHF-V: Learning Principles from Multi-modal Human Preference | May 24, 2025 | BlockingOut-of-Distribution Generalization | —Unverified | 0 |
| Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries | Dec 31, 2024 | BenchmarkingOut-of-Distribution Generalization | —Unverified | 0 |
| A Survey on Evaluation of Out-of-Distribution Generalization | Mar 4, 2024 | Out-of-Distribution GeneralizationSurvey | —Unverified | 0 |
| Global Intervention and Distillation for Federated Out-of-Distribution Generalization | Apr 1, 2025 | AttributeData Augmentation | —Unverified | 0 |
| Invariant Causal Representation Learning for Out-of-Distribution Generalization | Sep 29, 2021 | Out-of-Distribution GeneralizationRepresentation Learning | —Unverified | 0 |
| Invariant Representations in Deep Learning for Optoacoustic Imaging | Apr 29, 2023 | Deep LearningImage Reconstruction | —Unverified | 0 |
