| Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations | Nov 30, 2023 | AttributeOut-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization | Nov 9, 2024 | Out-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| A separability-based approach to quantifying generalization: which layer is best? | May 2, 2024 | Domain AdaptationDomain Generalization | CodeCode Available | 0 | 5 |
| How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? | Sep 3, 2021 | HippocampusImage Segmentation | CodeCode Available | 0 | 5 |
| Model Compression for Domain Adaptation through Causal Effect Estimation | Jan 18, 2021 | Domain AdaptationModel Compression | CodeCode Available | 0 | 5 |
| 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 |
| Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization | Aug 3, 2024 | Contrastive LearningData Augmentation | 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 |
| Learning Transductions and Alignments with RNN Seq2seq Models | Mar 13, 2023 | Out-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow | Jun 7, 2022 | Out-of-Distribution GeneralizationTransfer Learning | CodeCode Available | 0 | 5 |
