| Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization | Jun 1, 2023 | Out-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Deep Stable Learning for Out-Of-Distribution Generalization | Apr 16, 2021 | Domain GeneralizationOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| A Brief Introduction to Causal Inference in Machine Learning | May 14, 2024 | Causal InferenceOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation | Oct 23, 2021 | Few-Shot LearningOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Delving Deep into the Generalization of Vision Transformers under Distribution Shifts | Jun 14, 2021 | Out-of-Distribution GeneralizationSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| Designing Network Design Spaces | Mar 30, 2020 | Image ClassificationOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Rejecting Hallucinated State Targets during Planning | Oct 9, 2024 | Decision MakingOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| On the Stability of Expressive Positional Encodings for Graphs | Oct 4, 2023 | Molecular Property PredictionOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Adapting to Distribution Shift by Visual Domain Prompt Generation | May 5, 2024 | Domain GeneralizationMeta-Learning | CodeCode Available | 1 | 5 |
| Masked Autoencoders Are Scalable Vision Learners | Nov 11, 2021 | DecoderDomain Generalization | CodeCode Available | 1 | 5 |
