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| Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data | May 27, 2024 | Out-of-Distribution Generalization | —Unverified | 0 |
| 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 |
| What Variables Affect Out-of-Distribution Generalization in Pretrained Models? | May 23, 2024 | Out-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 |
| 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 Brief Introduction to Causal Inference in Machine Learning | May 14, 2024 | Causal InferenceOut-of-Distribution Generalization | CodeCode Available | 1 |
| Adapting to Distribution Shift by Visual Domain Prompt Generation | May 5, 2024 | Domain GeneralizationMeta-Learning | CodeCode Available | 1 |
