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Prompt Learning

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Showing 301–350 of 678 papers

TitleStatusHype
Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition—0
Knowledge-Guided Prompt Learning for Deepfake Facial Image Detection—0
Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation—0
Learning Textual Prompts for Open-World Semi-Supervised Learning—0
PromptHash:Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing RetrievalCode0
Differentiable Prompt Learning for Vision Language Models—0
MoPD: Mixture-of-Prompts Distillation for Vision-Language Models—0
CLIP-Based Modality Compensation for Visible-Infrared Image Re-Identification—0
Prompt Tuning for Item Cold-start RecommendationCode0
Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio—0
Prompt-based Unifying Inference Attack on Graph Neural Networks—0
PLPP: Prompt Learning with Perplexity Is Self-Distillation for Vision-Language Models—0
PromptDet: A Lightweight 3D Object Detection Framework with LiDAR Prompts—0
CoopetitiveV: Leveraging LLM-powered Coopetitive Multi-Agent Prompting for High-quality Verilog Generation—0
PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental LearningCode0
BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation—0
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?Code0
Leveraging Content and Context Cues for Low-Light Image EnhancementCode0
Attention Head Purification: A New Perspective to Harness CLIP for Domain Generalization—0
Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection—0
Are foundation models for computer vision good conformal predictors?—0
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts—0
Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis—0
See What You Seek: Semantic Contextual Integration for Cloth-Changing Person Re-IdentificationCode0
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain—0
Instance-Aware Graph Prompt Learning—0
Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language Models—0
Federated Domain Generalization via Prompt Learning and AggregationCode0
Prompt-enhanced Network for Hateful Meme ClassificationCode0
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking—0
In the Era of Prompt Learning with Vision-Language Models—0
FPPL: An Efficient and Non-IID Robust Federated Continual Learning FrameworkCode0
Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning—0
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain SetupsCode0
Multiple Information Prompt Learning for Cloth-Changing Person Re-Identification—0
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP—0
MoTaDual: Modality-Task Dual Alignment for Enhanced Zero-shot Composed Image Retrieval—0
IP-MOT: Instance Prompt Learning for Cross-Domain Multi-Object Tracking—0
Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic ClassifierCode0
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting—0
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery—0
Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code ReviewCode0
Prompt Diffusion Robustifies Any-Modality Prompt Learning—0
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation—0
AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation—0
A Persuasion-Based Prompt Learning Approach to Improve Smishing Detection through Data Augmentation—0
Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks—0
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation—0
On the Utility of Domain Modeling Assistance with Large Language Models—0
Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts—0
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