| Discovering environments with XRM | Sep 28, 2023 | Domain GeneralizationOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery | Apr 29, 2024 | Out-of-Distribution Generalizationregression | CodeCode Available | 1 | 5 |
| Disentangled Generative Models for Robust Prediction of System Dynamics | Aug 26, 2021 | DisentanglementOut-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 |
| Distilling Large Vision-Language Model with Out-of-Distribution Generalizability | Jul 6, 2023 | Few-Shot Image ClassificationImage Classification | 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 |
| 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 |
| Diverse Weight Averaging for Out-of-Distribution Generalization | May 19, 2022 | DiversityOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity? | Oct 14, 2023 | AttributeOut-of-Distribution Generalization | CodeCode Available | 1 | 5 |
| N-Agent Ad Hoc Teamwork | Apr 16, 2024 | Autonomous DrivingMulti-agent Reinforcement Learning | CodeCode Available | 1 | 5 |
