| Parameter-efficient Prompt Learning for 3D Point Cloud Understanding | Feb 24, 2024 | Few-Shot LearningPrompt Engineering | CodeCode Available | 1 |
| Open-Vocabulary Calibration for Fine-tuned CLIP | Feb 7, 2024 | parameter-efficient fine-tuningPrompt Learning | CodeCode Available | 1 |
| A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning | Feb 2, 2024 | Few-Shot LearningGraph Representation Learning | CodeCode Available | 1 |
| Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization | Jan 29, 2024 | Language ModelingLanguage Modelling | CodeCode Available | 1 |
| Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation | Jan 22, 2024 | ObjectPrompt Learning | CodeCode Available | 1 |
| Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior | Jan 9, 2024 | Few-Shot LearningPrompt Engineering | CodeCode Available | 1 |
| Prompt-driven Latent Domain Generalization for Medical Image Classification | Jan 5, 2024 | Domain Generalizationimage-classification | CodeCode Available | 1 |
| Unknown Prompt the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization | Jan 1, 2024 | Domain GeneralizationLanguage Modelling | CodeCode Available | 1 |
| A Prompt Learning Framework for Source Code Summarization | Dec 26, 2023 | Code SummarizationFew-Shot Learning | CodeCode Available | 1 |
| Modality-missing RGBT Tracking: Invertible Prompt Learning and High-quality Benchmarks | Dec 25, 2023 | Prompt Learning | CodeCode Available | 1 |
