| Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity | May 23, 2022 | One-Shot LearningOut-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| Model Compression for Domain Adaptation through Causal Effect Estimation | Jan 18, 2021 | Domain AdaptationModel Compression | CodeCode Available | 0 | 5 |
| Compositional generalization in semantic parsing with pretrained transformers | Sep 30, 2021 | Out-of-Distribution GeneralizationSemantic Parsing | CodeCode Available | 0 | 5 |
| FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection | Oct 15, 2024 | Federated LearningOut-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| Assessing Generalization in Deep Reinforcement Learning | Oct 29, 2018 | Deep Reinforcement LearningOut-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection | Jun 15, 2023 | Out-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization | May 20, 2023 | DiversityOut-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| Assaying Out-Of-Distribution Generalization in Transfer Learning | Jul 19, 2022 | Adversarial RobustnessOut-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| AHA: Human-Assisted Out-of-Distribution Generalization and Detection | Oct 10, 2024 | Out-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| Learning Invariant Visual Representations for Compositional Zero-Shot Learning | Jun 1, 2022 | AttributeCompositional Zero-Shot Learning | CodeCode Available | 0 | 5 |
