| Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey | Jan 22, 2024 | AttributeDeep Learning | —Unverified | 0 |
| Trapped in texture bias? A large scale comparison of deep instance segmentation | Jan 17, 2024 | Data AugmentationInstance Segmentation | CodeCode Available | 1 |
| InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization | Jan 8, 2024 | Domain AdaptationDomain Generalization | —Unverified | 0 |
| Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs | Jan 7, 2024 | Few-Shot LearningGraph Neural Network | —Unverified | 0 |
| Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning | Jan 1, 2024 | Out-of-Distribution Generalizationreinforcement-learning | —Unverified | 0 |
| Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs | Dec 31, 2023 | Image ClassificationKnowledge Graphs | CodeCode Available | 1 |
| Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift | Dec 29, 2023 | Out-of-Distribution Generalizationregression | —Unverified | 0 |
| Mixture Data for Training Cannot Ensure Out-of-distribution Generalization | Dec 25, 2023 | Data AugmentationOut-of-Distribution Generalization | —Unverified | 0 |
| Learning to Reweight for Graph Neural Network | Dec 19, 2023 | Graph Neural NetworkOut-of-Distribution Generalization | —Unverified | 0 |
| Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization | Dec 18, 2023 | Graph Representation LearningOut-of-Distribution Generalization | CodeCode Available | 1 |