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Prompt Learning

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Showing 151–200 of 678 papers

TitleStatusHype
Federated Domain Generalization via Prompt Learning and AggregationCode0
Golden Noise for Diffusion Models: A Learning FrameworkCode2
Prompt-enhanced Network for Hateful Meme ClassificationCode0
GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly DetectionCode1
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
Not Just Object, But State: Compositional Incremental Learning without ForgettingCode1
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
EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI DetectionCode1
MoTaDual: Modality-Task Dual Alignment for Enhanced Zero-shot Composed Image Retrieval—0
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP—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
Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code ReviewCode0
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery—0
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud AnalysisCode1
Prompt Diffusion Robustifies Any-Modality Prompt Learning—0
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation—0
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset CurationCode5
AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation—0
AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News DetectionCode1
IPO: Interpretable Prompt Optimization for Vision-Language ModelsCode1
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
Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts—0
On the Utility of Domain Modeling Assistance with Large Language Models—0
Tree of Attributes Prompt Learning for Vision-Language ModelsCode1
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting ApproachCode1
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language ModelsCode1
LOBG:Less Overfitting for Better Generalization in Vision-Language Model—0
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly DetectionCode1
Empirical Study of Mutual Reinforcement Effect and Application in Few-shot Text Classification Tasks via Prompt—0
Animating the Past: Reconstruct Trilobite via Video Generation—0
Deep Correlated Prompting for Visual Recognition with Missing ModalitiesCode1
In-Context Code-Text Learning for Bimodal Software Engineering—0
ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models—0
Item Cluster-aware Prompt Learning for Session-based Recommendation—0
On Unsupervised Prompt Learning for Classification with Black-box Language Models—0
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image SegmentationCode1
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and MethodCode1
PALM: Few-Shot Prompt Learning for Audio Language Models—0
LCMDC: Large-scale Chinese Medical Dialogue Corpora for Automatic Triage and Medical Consultation—0
LW2G: Learning Whether to Grow for Prompt-based Continual LearningCode0
RmGPT: Rotating Machinery Generative Pretrained Model—0
Cascade Prompt Learning for Vision-Language Model AdaptationCode3
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