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| Does Invariant Graph Learning via Environment Augmentation Learn Invariance? | Oct 29, 2023 | Graph LearningGraph Representation Learning | CodeCode Available | 1 |
| Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach | Oct 28, 2023 | Out-of-Distribution Generalization | —Unverified | 0 |
| OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning | Oct 28, 2023 | Data AugmentationOut-of-Distribution Generalization | —Unverified | 0 |
| Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization | Oct 25, 2023 | Out-of-Distribution Generalization | —Unverified | 0 |
| Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation | Oct 18, 2023 | Out-of-Distribution Generalization | —Unverified | 0 |
| From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling | Oct 17, 2023 | counterfactualDensity Estimation | —Unverified | 0 |
| Real-Fake: Effective Training Data Synthesis Through Distribution Matching | Oct 16, 2023 | image-classificationImage Classification | CodeCode Available | 1 |
| Towards Unified and Effective Domain Generalization | Oct 16, 2023 | Domain GeneralizationOut-of-Distribution Generalization | CodeCode Available | 1 |
