| Causal-aware Graph Neural Architecture Search under Distribution Shifts | May 26, 2024 | Graph EmbeddingNeural Architecture Search | —Unverified | 0 |
| Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning | May 25, 2024 | Contrastive LearningOut-of-Distribution Generalization | —Unverified | 0 |
| Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization | May 23, 2024 | AllOut-of-Distribution Generalization | —Unverified | 0 |
| What Variables Affect Out-of-Distribution Generalization in Pretrained Models? | May 23, 2024 | Out-of-Distribution Generalization | —Unverified | 0 |
| Automated Text Identification Using CNN and Training Dynamics | May 18, 2024 | Out-of-Distribution Generalization | —Unverified | 0 |
| Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks | May 17, 2024 | Anomaly DetectionData Augmentation | CodeCode Available | 0 |
| A separability-based approach to quantifying generalization: which layer is best? | May 2, 2024 | Domain AdaptationDomain Generalization | CodeCode Available | 0 |
| Invariant Risk Minimization Is A Total Variation Model | May 2, 2024 | DenoisingOut-of-Distribution Generalization | CodeCode Available | 0 |
| Cross-Domain Causal Preference Learning for Out-of-Distribution Recommendation | Apr 23, 2024 | Out-of-Distribution GeneralizationRecommendation Systems | CodeCode Available | 0 |
| An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics | Mar 29, 2024 | Generalization BoundsOut-of-Distribution Generalization | —Unverified | 0 |