| Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization | Nov 18, 2023 | Graph LearningOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees | Feb 13, 2023 | Federated LearningGeneralization Bounds | CodeCode Available | 1 | 5 |
| PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization | Jul 27, 2023 | Domain GeneralizationImage Classification | CodeCode Available | 1 | 5 |
| How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad | Jun 10, 2024 | Out-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Environment Inference for Invariant Learning | Oct 14, 2020 | Domain GeneralizationFairness | CodeCode Available | 1 | 5 |
| BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA Models | Jan 28, 2023 | Out-of-Distribution GeneralizationQuestion Answering | CodeCode Available | 0 | 5 |
| Model Compression for Domain Adaptation through Causal Effect Estimation | Jan 18, 2021 | Domain AdaptationModel Compression | CodeCode Available | 0 | 5 |
| Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation | Mar 12, 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 |
| 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 |
