| N-Agent Ad Hoc Teamwork | Apr 16, 2024 | Autonomous DrivingMulti-agent Reinforcement Learning | CodeCode Available | 1 |
| Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts | Mar 13, 2024 | Domain GeneralizationFew-Shot Image Classification | CodeCode Available | 1 |
| Improving out-of-distribution generalization in graphs via hierarchical semantic environments | Mar 4, 2024 | Out-of-Distribution Generalization | CodeCode Available | 1 |
| Graph Out-of-Distribution Generalization via Causal Intervention | Feb 18, 2024 | Causal InferenceOut-of-Distribution Generalization | CodeCode Available | 1 |
| Trapped in texture bias? A large scale comparison of deep instance segmentation | Jan 17, 2024 | Data AugmentationInstance Segmentation | CodeCode Available | 1 |
| Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs | Dec 31, 2023 | Image ClassificationKnowledge Graphs | CodeCode Available | 1 |
| Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization | Dec 18, 2023 | Graph Representation LearningOut-of-Distribution Generalization | CodeCode Available | 1 |
| Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization | Nov 18, 2023 | Graph LearningOut-of-Distribution Generalization | CodeCode Available | 1 |
| Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks | Nov 1, 2023 | InformativenessOut-of-Distribution Generalization | CodeCode Available | 1 |
| Does Invariant Graph Learning via Environment Augmentation Learn Invariance? | Oct 29, 2023 | Graph LearningGraph Representation Learning | CodeCode Available | 1 |
