| A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning | Nov 6, 2023 | ClusteringOpen-World Semi-Supervised Learning | CodeCode Available | 0 | 5 |
| OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning | Nov 4, 2024 | Open-World Semi-Supervised Learning | CodeCode Available | 0 | 5 |
| Robust Semi-Supervised Learning for Self-learning Open-World Classes | Jan 15, 2024 | Open-World Semi-Supervised LearningSelf-Learning | CodeCode Available | 0 | 5 |
| Towards Unbiased Training in Federated Open-world Semi-supervised Learning | May 1, 2023 | Open-World Semi-Supervised LearningTransfer Learning | —Unverified | 0 | 0 |
| Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning | Apr 17, 2024 | Open-World Semi-Supervised LearningRepresentation Learning | —Unverified | 0 | 0 |
| Learning Textual Prompts for Open-World Semi-Supervised Learning | Jan 1, 2025 | Image-text matchingOpen-World Semi-Supervised Learning | —Unverified | 0 | 0 |
| Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference | May 31, 2024 | Open-World Semi-Supervised Learning | —Unverified | 0 | 0 |
