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Prompt Learning

Papers

Showing 2650 of 678 papers

TitleStatusHype
Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion RecognitionCode2
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge DistillationCode2
GalLoP: Learning Global and Local Prompts for Vision-Language ModelsCode2
FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion ModelsCode2
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?Code2
Learning Transferable Negative Prompts for Out-of-Distribution DetectionCode2
S^2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series ForecastingCode2
Global and Local Prompts Cooperation via Optimal Transport for Federated LearningCode2
A Hard-to-Beat Baseline for Training-free CLIP-based AdaptationCode2
Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning StrategyCode2
Unsupervised Continual Anomaly Detection with Contrastively-learned PromptCode2
Graph Prompt Learning: A Comprehensive Survey and BeyondCode2
Source-Free Domain Adaptation with Frozen Multimodal Foundation ModelCode2
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly DetectionCode2
MVDream: Multi-view Diffusion for 3D GenerationCode2
Turning a CLIP Model into a Scene Text SpotterCode2
Self-regulating Prompts: Foundational Model Adaptation without ForgettingCode2
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation ModelCode2
Visual Prompt Multi-Modal TrackingCode2
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt LearningCode2
PromptDet: Towards Open-vocabulary Detection using Uncurated ImagesCode2
OpenPrompt: An Open-source Framework for Prompt-learningCode2
Learning to Prompt for Vision-Language ModelsCode2
Taming Vision-Language Models for Medical Image Analysis: A Comprehensive ReviewCode1
Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph LanguagesCode1
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