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Prompt Learning

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Showing 526–550 of 678 papers

TitleStatusHype
IP-MOT: Instance Prompt Learning for Cross-Domain Multi-Object Tracking—0
Item Cluster-aware Prompt Learning for Session-based Recommendation—0
Iterative Prompt Learning for Unsupervised Backlit Image Enhancement—0
基于主题提示学习的零样本立场检测方法(A Topic-based Prompt Learning Method for Zero-Shot Stance Detection)—0
Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning—0
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration—0
KAN-SAM: Kolmogorov-Arnold Network Guided Segment Anything Model for RGB-T Salient Object Detection—0
K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning—0
Knowledge-Guided Prompt Learning for Deepfake Facial Image Detection—0
Knowledge-injected Prompt Learning for Chinese Biomedical Entity Normalization—0
Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets—0
Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning—0
LCMDC: Large-scale Chinese Medical Dialogue Corpora for Automatic Triage and Medical Consultation—0
Learning Conditional Space-Time Prompt Distributions for Video Class-Incremental Learning—0
Learning Expressive Prompting With Residuals for Vision Transformers—0
Learning Knowledge-based Prompts for Robust 3D Mask Presentation Attack Detection—0
Learning Textual Prompts for Open-World Semi-Supervised Learning—0
Learning to Prompt Segment Anything Models—0
Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection—0
Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language—0
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph—0
LION: Implicit Vision Prompt Tuning—0
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection—0
LOBG:Less Overfitting for Better Generalization in Vision-Language Model—0
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models—0
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