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Prompt Learning

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Showing 301–350 of 678 papers

TitleStatusHype
Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment PredictionCode0
Modular Prompt Learning Improves Vision-Language ModelsCode0
FPPL: An Efficient and Non-IID Robust Federated Continual Learning FrameworkCode0
RESTORE: Towards Feature Shift for Vision-Language Prompt LearningCode0
Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement PredictionCode0
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt LearningCode0
OpenSD: Unified Open-Vocabulary Segmentation and DetectionCode0
Enhancing Source Code Classification Effectiveness via Prompt Learning Incorporating Knowledge FeaturesCode0
Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question AnsweringCode0
Instance-aware Prompt Learning for Language Understanding and GenerationCode0
Towards Generative Class Prompt Learning for Fine-grained Visual RecognitionCode0
Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and ScalabilityCode0
Modeling Variants of Prompts for Vision-Language ModelsCode0
One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual PromptCode0
Consistent Optimal Transport with Empirical Conditional MeasuresCode0
Interactive Gadolinium-Free MRI Synthesis: A Transformer with Localization Prompt LearningCode0
CLIP-DQA: Blindly Evaluating Dehazed Images from Global and Local Perspectives Using CLIPCode0
Nested Event Extraction upon Pivot Element RecognitonCode0
Multi-Prompt with Depth Partitioned Cross-Modal LearningCode0
A Two Stage Adaptation Framework for Frame Detection via Prompt LearningCode0
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models—0
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems—0
Text-driven Prompt Generation for Vision-Language Models in Federated Learning—0
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation—0
Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials—0
Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models—0
Towards Graph Prompt Learning: A Survey and Beyond—0
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning—0
Towards Robust Prompts on Vision-Language Models—0
Towards Unified Prompt Tuning for Few-shot Learning—0
Towards Unified Prompt Tuning for Few-shot Text Classification—0
Towards Universal Learning-based Model for Cardiac Image Reconstruction: Summary of the CMRxRecon2024 Challenge—0
Towards using Few-Shot Prompt Learning for Automating Model Completion—0
Training-Free Semantic Segmentation via LLM-Supervision—0
Transitive Vision-Language Prompt Learning for Domain Generalization—0
Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential—0
Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks—0
Trompt: Towards a Better Deep Neural Network for Tabular Data—0
Tuning Vision-Language Models with Candidate Labels by Prompt Alignment—0
UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt—0
Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts—0
Understanding the Multi-modal Prompts of the Pre-trained Vision-Language Model—0
Unleashing the potential of prompt engineering for large language models—0
Unlocking Multimodal Integration in EHRs: A Prompt Learning Framework for Language and Time Series Fusion—0
Unsupervised Brain Tumor Segmentation with Image-based Prompts—0
Unsupervised Image Prior via Prompt Learning and CLIP Semantic Guidance for Low-Light Image Enhancement—0
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models—0
Urban Region Representation Learning: A Flexible Approach—0
Using Global Land Cover Product as Prompt for Cropland Mapping via Visual Foundation Model—0
V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protection—0
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