| Feature-guided score diffusion for sampling conditional densities | Oct 15, 2024 | DenoisingOut-of-Distribution Generalization | —Unverified | 0 |
| A Complexity-Based Theory of Compositionality | Oct 18, 2024 | Out-of-Distribution Generalization | —Unverified | 0 |
| Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety | Jul 26, 2022 | Anomaly DetectionBIG-bench Machine Learning | —Unverified | 0 |
| Invariant Causal Representation Learning for Out-of-Distribution Generalization | Sep 29, 2021 | Out-of-Distribution GeneralizationRepresentation Learning | —Unverified | 0 |
| Invariant Federated Learning for Edge Intelligence: Mitigating Heterogeneity and Asynchrony via Exit Strategy and Invariant Penalty | Mar 8, 2025 | Federated LearningOut-of-Distribution Generalization | —Unverified | 0 |
| Invariant Meta Learning for Out-of-Distribution Generalization | Jan 26, 2023 | Meta-LearningOut-of-Distribution Generalization | —Unverified | 0 |
| Knowledge-Spreader: Learning Facial Action Unit Dynamics with Extremely Limited Labels | Mar 30, 2022 | Out-of-Distribution Generalization | —Unverified | 0 |
| Invariant Representations in Deep Learning for Optoacoustic Imaging | Apr 29, 2023 | Deep LearningImage Reconstruction | —Unverified | 0 |
| Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP | Aug 5, 2021 | Document ClassificationOut-of-Distribution Generalization | —Unverified | 0 |
| Adversarial Training: Enhancing Out-of-Distribution Generalization for Learning Wireless Resource Allocation | Jun 26, 2025 | Out-of-Distribution Generalization | —Unverified | 0 |
