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Prompt Learning
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GalLoP: Learning Global and Local Prompts for Vision-Language Models
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection
Vision-Language Consistency Guided Multi-modal Prompt Learning for Blind AI Generated Image Quality Assessment
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
Enhancing Travel Choice Modeling with Large Language Models: A Prompt-Learning Approach
Enhancing Visible-Infrared Person Re-identification with Modality- and Instance-aware Visual Prompt Learning
GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation
COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection
A Unified Graph Selective Prompt Learning for Graph Neural Networks
Enhancing Domain Adaptation through Prompt Gradient Alignment
OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation
ProG: A Graph Prompt Learning Benchmark
REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs
LLMEmbed: Rethinking Lightweight LLM's Genuine Function in Text Classification
Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning
Cross-Context Backdoor Attacks against Graph Prompt Learning
Low-Rank Few-Shot Adaptation of Vision-Language Models
Anonymization Prompt Learning for Facial Privacy-Preserving Text-to-Image Generation
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for VPaaS via Watermark
Awesome Multi-modal Object Tracking
A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models
What Makes Good Few-shot Examples for Vision-Language Models?
Node-Time Conditional Prompt Learning In Dynamic Graphs
Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
Prompt Learning for Generalized Vehicle Routing
Unsupervised Image Prior via Prompt Learning and CLIP Semantic Guidance for Low-Light Image Enhancement
Revisiting the Robust Generalization of Adversarial Prompt Tuning
In-context Contrastive Learning for Event Causality Identification
Harmonizing Generalization and Personalization in Federated Prompt Learning
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