| Invariant Risk Minimization | Jul 5, 2019 | Domain GeneralizationImage Classification | CodeCode Available | 1 |
| CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features | May 13, 2019 | Domain GeneralizationImage Captioning | CodeCode Available | 1 |
| ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness | Nov 29, 2018 | Domain GeneralizationImage Classification | CodeCode Available | 1 |
| mixup: Beyond Empirical Risk Minimization | Oct 25, 2017 | Domain GeneralizationImage Classification | CodeCode Available | 1 |
| Improved Regularization of Convolutional Neural Networks with Cutout | Aug 15, 2017 | Data AugmentationDomain Generalization | CodeCode Available | 1 |
| Adversarial Training: Enhancing Out-of-Distribution Generalization for Learning Wireless Resource Allocation | Jun 26, 2025 | Out-of-Distribution Generalization | —Unverified | 0 |
| Exploring Graph-Transformer Out-of-Distribution Generalization Abilities | Jun 25, 2025 | Domain GeneralizationGraph Learning | —Unverified | 0 |
| Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors | Jun 11, 2025 | Out-of-Distribution Generalization | —Unverified | 0 |
| Reinforce LLM Reasoning through Multi-Agent Reflection | Jun 10, 2025 | MathOut-of-Distribution Generalization | —Unverified | 0 |
| NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis | Jun 10, 2025 | Computational EfficiencyOut-of-Distribution Generalization | —Unverified | 0 |
| MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs | Jun 9, 2025 | HallucinationModel Editing | —Unverified | 0 |
| Dealing with the Evil Twins: Improving Random Augmentation by Addressing Catastrophic Forgetting of Diverse Augmentations | Jun 9, 2025 | Data AugmentationDomain Generalization | —Unverified | 0 |
| Positional Encoding meets Persistent Homology on Graphs | Jun 6, 2025 | Graph ClassificationGraph Representation Learning | CodeCode Available | 0 |
| Pruning Spurious Subgraphs for Graph Out-of-Distribtuion Generalization | Jun 6, 2025 | Out-of-Distribution Generalization | CodeCode Available | 0 |
| Principled Out-of-Distribution Generalization via Simplicity | May 28, 2025 | Image GenerationOut-of-Distribution Generalization | —Unverified | 0 |
| STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization | May 26, 2025 | Out-of-Distribution GeneralizationRetrieval | —Unverified | 0 |
| Improving Medical Reasoning with Curriculum-Aware Reinforcement Learning | May 25, 2025 | Out-of-Distribution Generalizationreinforcement-learning | —Unverified | 0 |
| Generative RLHF-V: Learning Principles from Multi-modal Human Preference | May 24, 2025 | BlockingOut-of-Distribution Generalization | —Unverified | 0 |
| On the Out-of-Distribution Generalization of Self-Supervised Learning | May 22, 2025 | Causal InferenceOut-of-Distribution Generalization | CodeCode Available | 0 |
| Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms | May 22, 2025 | Adversarial AttackBenchmarking | —Unverified | 0 |
| Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective | May 20, 2025 | In-Context LearningOut-of-Distribution Generalization | —Unverified | 0 |
| Enhancing Latent Computation in Transformers with Latent Tokens | May 19, 2025 | Out-of-Distribution Generalization | —Unverified | 0 |
| Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation | May 15, 2025 | Data AugmentationImage Segmentation | CodeCode Available | 0 |
| Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models | May 12, 2025 | Disentanglementimage-classification | —Unverified | 0 |
| Rethinking Graph Out-Of-Distribution Generalization: A Learnable Random Walk Perspective | May 9, 2025 | Density EstimationOut-of-Distribution Generalization | —Unverified | 0 |
