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Prompt Learning
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PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method
PALM: Few-Shot Prompt Learning for Audio Language Models
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
LCMDC: Large-scale Chinese Medical Dialogue Corpora for Automatic Triage and Medical Consultation
What Would Happen Next? Predicting Consequences from An Event Causality Graph
RmGPT: Rotating Machinery Generative Pretrained Model
Cascade Prompt Learning for Vision-Language Model Adaptation
Federated Large Language Models: Current Progress and Future Directions
Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint
Mixture of Prompt Learning for Vision Language Models
A Knowledge-Enhanced Disease Diagnosis Method Based on Prompt Learning and BERT Integration
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations
Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images
Multimodal Emotion Recognition with Vision-language Prompting and Modality Dropout
Revisiting Prompt Pretraining of Vision-Language Models
Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts
Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials
Open-World Dynamic Prompt and Continual Visual Representation Learning
Boosting CLIP Adaptation for Image Quality Assessment via Meta-Prompt Learning and Gradient Regularization
MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality
Few-shot Adaptation of Medical Vision-Language Models
Visual Prompting in Multimodal Large Language Models: A Survey
Towards Generative Class Prompt Learning for Fine-grained Visual Recognition
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models
Aligning Medical Images with General Knowledge from Large Language Models
COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation
DLM-VMTL:A Double Layer Mapper for heterogeneous data video Multi-task prompt learning
PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning
Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
Towards Graph Prompt Learning: A Survey and Beyond
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
AnoPLe: Few-Shot Anomaly Detection via Bi-directional Prompt Learning with Only Normal Samples
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