| Model Compression for Domain Adaptation through Causal Effect Estimation | Jan 18, 2021 | Domain AdaptationModel Compression | CodeCode Available | 0 | 5 |
| 1st Place Solution for ECCV 2022 OOD-CV Challenge Image Classification Track | Jan 12, 2023 | Data AugmentationDomain Adaptation | CodeCode Available | 0 | 5 |
| Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation | Jun 15, 2024 | Anomaly DetectionOut-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| Empirical Study on Optimizer Selection for Out-of-Distribution Generalization | Nov 15, 2022 | Out-of-Distribution Generalizationtext-classification | CodeCode Available | 0 | 5 |
| Learning Transductions and Alignments with RNN Seq2seq Models | Mar 13, 2023 | 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 |
| DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization | Feb 18, 2025 | Contrastive LearningOut-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| Invariant Risk Minimization Is A Total Variation Model | May 2, 2024 | DenoisingOut-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI | Oct 12, 2021 | Few-Shot LearningFew-Shot NLI | CodeCode Available | 0 | 5 |
| Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative Priors | Jul 31, 2024 | DenoisingMRI Reconstruction | CodeCode Available | 0 | 5 |
