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Prompt Learning

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Showing 251–300 of 678 papers

TitleStatusHype
PromptHash: Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing RetrievalCode0
Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language ModelsCode0
TLAC: Two-stage LMM Augmented CLIP for Zero-Shot ClassificationCode0
DP-GPL: Differentially Private Graph Prompt Learning—0
OpenVidVRD: Open-Vocabulary Video Visual Relation Detection via Prompt-Driven Semantic Space Alignment—0
Urban Region Representation Learning: A Flexible Approach—0
Modeling Variants of Prompts for Vision-Language ModelsCode0
Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model AdaptationCode0
CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model—0
XR-VLM: Cross-Relationship Modeling with Multi-part Prompts and Visual Features for Fine-Grained Recognition—0
Towards Universal Learning-based Model for Cardiac Image Reconstruction: Summary of the CMRxRecon2024 ChallengeCode0
Interpretable Few-Shot Retinal Disease Diagnosis with Concept-Guided Prompting of Vision-Language Models—0
Generalizable Prompt Learning of CLIP: A Brief Overview—0
Diversity Covariance-Aware Prompt Learning for Vision-Language Models—0
Interactive Gadolinium-Free MRI Synthesis: A Transformer with Localization Prompt LearningCode0
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection—0
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models—0
Zero-Shot Semantic Communication with Multimodal Foundation Models—0
A Similarity Paradigm Through Textual Regularization Without Forgetting—0
Unlocking Multimodal Integration in EHRs: A Prompt Learning Framework for Language and Time Series Fusion—0
Modular Prompt Learning Improves Vision-Language ModelsCode0
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection—0
CLEAR: Cluster-based Prompt Learning on Heterogeneous Graphs—0
GCoT: Chain-of-Thought Prompt Learning for Graphs—0
Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question AnsweringCode0
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning—0
CLIP-DQA: Blindly Evaluating Dehazed Images from Global and Local Perspectives Using CLIPCode0
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models—0
PromptMono: Cross Prompting Attention for Self-Supervised Monocular Depth Estimation in Challenging Environments—0
Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models—0
TeD-Loc: Text Distillation for Weakly Supervised Object LocalizationCode0
Separated Inter/Intra-Modal Fusion Prompts for Compositional Zero-Shot Learning—0
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks—0
fabSAM: A Farmland Boundary Delineation Method Based on the Segment Anything Model—0
IDEA: Image Description Enhanced CLIP-AdapterCode0
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM—0
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image SegmentationCode0
Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning—0
Hidden Entity Detection from GitHub Leveraging Large Language ModelsCode0
A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models—0
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration—0
Improving GenIR Systems Based on User Feedback—0
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models—0
PromptHash:Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing RetrievalCode0
Knowledge-Guided Prompt Learning for Deepfake Facial Image Detection—0
Learning Textual Prompts for Open-World Semi-Supervised Learning—0
Enhanced Visual-Semantic Interaction with Tailored Prompts for Pedestrian Attribute Recognition—0
Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation—0
Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning—0
Learning Conditional Space-Time Prompt Distributions for Video Class-Incremental Learning—0
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