| Distilling Large Vision-Language Model with Out-of-Distribution Generalizability | Jul 6, 2023 | Few-Shot Image ClassificationImage Classification | CodeCode Available | 1 | 5 |
| H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark | Sep 2, 2024 | ARCOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Diverse Weight Averaging for Out-of-Distribution Generalization | May 19, 2022 | DiversityOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization | Feb 14, 2022 | Domain GeneralizationOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Causal Transportability for Visual Recognition | Apr 26, 2022 | image-classificationImage Classification | CodeCode Available | 1 | 5 |
| Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization | Nov 18, 2023 | Graph LearningOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Improved Regularization of Convolutional Neural Networks with Cutout | Aug 15, 2017 | Data AugmentationDomain Generalization | CodeCode Available | 1 | 5 |
| DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation | Dec 17, 2020 | Domain GeneralizationImage Classification | CodeCode Available | 1 | 5 |
| Domain-Specific Risk Minimization for Out-of-Distribution Generalization | Aug 18, 2022 | Domain AdaptationDomain Generalization | CodeCode Available | 1 | 5 |
| Collaboration! Towards Robust Neural Methods for Routing Problems | Oct 7, 2024 | Out-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization | Jun 28, 2023 | Graph LearningOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics | Sep 22, 2020 | Model OptimizationOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessment | Oct 3, 2024 | Image Quality AssessmentOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference | Nov 1, 2021 | Adversarial Natural Language InferenceNatural Language Inference | CodeCode Available | 1 | 5 |
| Empirical Study of PEFT techniques for Winter Wheat Segmentation | Oct 3, 2023 | Out-of-Distribution Generalizationparameter-efficient fine-tuning | CodeCode Available | 1 | 5 |
| CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features | May 13, 2019 | Domain GeneralizationImage Captioning | CodeCode Available | 1 | 5 |
| Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design | Jul 16, 2024 | Drug DiscoveryOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Discover and Mitigate Unknown Biases with Debiasing Alternate Networks | Jul 20, 2022 | Action RecognitionFacial Attribute Classification | CodeCode Available | 1 | 5 |
| Contextual Vision Transformers for Robust Representation Learning | May 30, 2023 | In-Context LearningOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL | Oct 12, 2022 | Contrastive LearningOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation | Jun 14, 2024 | Domain AdaptationOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Environment Inference for Invariant Learning | Oct 14, 2020 | Domain GeneralizationFairness | CodeCode Available | 1 | 5 |
| Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization | Sep 7, 2021 | Domain GeneralizationOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective | Nov 15, 2022 | Natural Language UnderstandingOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization | Dec 18, 2023 | Graph Representation LearningOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
