| Distilling Large Vision-Language Model with Out-of-Distribution Generalizability | Jul 6, 2023 | Few-Shot Image ClassificationImage Classification | CodeCode Available | 1 | 5 |
| How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad | Jun 10, 2024 | Out-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 |
| Empirical Study of PEFT techniques for Winter Wheat Segmentation | Oct 3, 2023 | Out-of-Distribution Generalizationparameter-efficient fine-tuning | CodeCode Available | 1 | 5 |
| Environment Inference for Invariant Learning | Oct 14, 2020 | Domain GeneralizationFairness | CodeCode Available | 1 | 5 |
| Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization | Aug 6, 2022 | Out-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography | Oct 31, 2024 | BenchmarkingElectromyography (EMG) | CodeCode Available | 1 | 5 |
| Graph Out-of-Distribution Generalization via Causal Intervention | Feb 18, 2024 | Causal InferenceOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization | Jun 11, 2021 | Out-of-Distribution Generalizationregression | 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 |
| Entity-Based Knowledge Conflicts in Question Answering | Sep 10, 2021 | HallucinationOut-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 |
| Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization | Jun 1, 2023 | Out-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 |
| CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features | May 13, 2019 | Domain GeneralizationImage Captioning | 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 |
| Learning from Failure: Training Debiased Classifier from Biased Classifier | Jul 6, 2020 | Action RecognitionFacial Attribute Classification | CodeCode Available | 1 | 5 |
| Discover and Mitigate Unknown Biases with Debiasing Alternate Networks | Jul 20, 2022 | Action RecognitionFacial Attribute Classification | CodeCode Available | 1 | 5 |
| Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks | Jun 4, 2024 | In-Context LearningOut-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 |
| 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 |
