| Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation | Jun 14, 2024 | Domain AdaptationOut-of-Distribution Generalization | CodeCode Available | 1 |
| Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning | Jun 13, 2024 | Out-of-Distribution GeneralizationTime Series | CodeCode Available | 1 |
| How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad | Jun 10, 2024 | Out-of-Distribution Generalization | CodeCode Available | 1 |
| Learning Divergence Fields for Shift-Robust Graph Representations | Jun 7, 2024 | Causal InferenceOut-of-Distribution Generalization | CodeCode Available | 1 |
| Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize | Jun 5, 2024 | Out-of-Distribution Generalization | CodeCode Available | 1 |
| 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 |
| 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 |
| In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery | Apr 29, 2024 | Out-of-Distribution Generalizationregression | CodeCode Available | 1 |
| The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology | Apr 17, 2024 | Causal DiscoveryCausal Inference | CodeCode Available | 1 |
