| AHA: Human-Assisted Out-of-Distribution Generalization and Detection | Oct 10, 2024 | Out-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical images | Jul 7, 2022 | Breast Cancer DetectionOut-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| Probing Predictions on OOD Images via Nearest Categories | Nov 17, 2020 | Adversarial RobustnessFew-Shot Learning | CodeCode Available | 0 | 5 |
| Face Reconstruction Transfer Attack as Out-of-Distribution Generalization | Jul 2, 2024 | Face RecognitionFace Reconstruction | CodeCode Available | 0 | 5 |
| Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation | Oct 2, 2024 | Meta-LearningOut-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| 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 |
| Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization | Aug 3, 2024 | Contrastive LearningData Augmentation | CodeCode Available | 0 | 5 |
| Learning Transductions and Alignments with RNN Seq2seq Models | Mar 13, 2023 | Out-of-Distribution Generalization | CodeCode Available | 0 | 5 |
