| VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning | Oct 30, 2024 | Hierarchical Reinforcement LearningLanguage Modeling | —Unverified | 0 |
| Subgraph Aggregation for Out-of-Distribution Generalization on Graphs | Oct 29, 2024 | Molecular Property PredictionOut-of-Distribution Generalization | CodeCode Available | 0 |
| On the Role of Depth and Looping for In-Context Learning with Task Diversity | Oct 29, 2024 | DiversityIn-Context Learning | —Unverified | 0 |
| Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches | Oct 25, 2024 | Data AugmentationNeural Architecture Search | —Unverified | 0 |
| Polyp-E: Benchmarking the Robustness of Deep Segmentation Models via Polyp Editing | Oct 22, 2024 | AttributeBenchmarking | —Unverified | 0 |
| A Complexity-Based Theory of Compositionality | Oct 18, 2024 | Out-of-Distribution Generalization | —Unverified | 0 |
| FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection | Oct 15, 2024 | Federated LearningOut-of-Distribution Generalization | CodeCode Available | 0 |
| Feature-guided score diffusion for sampling conditional densities | Oct 15, 2024 | DenoisingOut-of-Distribution Generalization | —Unverified | 0 |
| ALVIN: Active Learning Via INterpolation | Oct 11, 2024 | Active LearningNatural Language Inference | —Unverified | 0 |
| AHA: Human-Assisted Out-of-Distribution Generalization and Detection | Oct 10, 2024 | Out-of-Distribution Generalization | CodeCode Available | 0 |
