| Feature-guided score diffusion for sampling conditional densities | Oct 15, 2024 | DenoisingOut-of-Distribution Generalization | —Unverified | 0 | 0 |
| Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry | Mar 23, 2025 | image-classificationImage Classification | —Unverified | 0 | 0 |
| Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization | May 8, 2025 | AttributeBenchmarking | —Unverified | 0 | 0 |
| Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding | Oct 13, 2023 | DiagnosticFault Diagnosis | —Unverified | 0 | 0 |
| FedMM-X: A Trustworthy and Interpretable Framework for Federated Multi-Modal Learning in Dynamic Environments | Mar 25, 2025 | Federated LearningOut-of-Distribution Generalization | —Unverified | 0 | 0 |
| Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs | Jan 7, 2024 | Few-Shot LearningGraph Neural Network | —Unverified | 0 | 0 |
| Finding Diverse and Predictable Subgraphs for Graph Domain Generalization | Jun 19, 2022 | Domain GeneralizationGraph Neural Network | —Unverified | 0 | 0 |
| From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling | Oct 17, 2023 | counterfactualDensity Estimation | —Unverified | 0 | 0 |
| Frustratingly Easy Model Generalization by Dummy Risk Minimization | Aug 4, 2023 | modelOut-of-Distribution Generalization | —Unverified | 0 | 0 |
| Functional Indirection Neural Estimator for Better Out-of-distribution Generalization | Oct 23, 2022 | Out-of-Distribution Generalization | —Unverified | 0 | 0 |
