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Prompt Learning

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Showing 351–400 of 678 papers

TitleStatusHype
EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation—0
Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection—0
Enhanced Visual-Semantic Interaction with Tailored Prompts for Pedestrian Attribute Recognition—0
Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model—0
Enhancing Multi-Hop Knowledge Graph Reasoning through Reward Shaping Techniques—0
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs—0
Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Self-Regularization—0
Enhancing Target-unspecific Tasks through a Features Matrix—0
Enhancing Travel Choice Modeling with Large Language Models: A Prompt-Learning Approach—0
Enhancing Visible-Infrared Person Re-identification with Modality- and Instance-aware Visual Prompt Learning—0
EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting—0
Explicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection—0
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection—0
Exploration of visual prompt in Grounded pre-trained open-set detection—0
Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning—0
Exploring Small Language Models with Prompt-Learning Paradigm for Efficient Domain-Specific Text Classification—0
External Knowledge Augmented Polyphone Disambiguation Using Large Language Model—0
fabSAM: A Farmland Boundary Delineation Method Based on the Segment Anything Model—0
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation—0
Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning—0
Federated Large Language Models: Current Progress and Future Directions—0
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models—0
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models—0
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation—0
From Two-Stream to One-Stream: Efficient RGB-T Tracking via Mutual Prompt Learning and Knowledge Distillation—0
From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You Need—0
GCoT: Chain-of-Thought Prompt Learning for Graphs—0
Generalizable Prompt Learning of CLIP: A Brief Overview—0
Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models—0
Gradient-Based Language Model Red Teaming—0
Gradient constrained sharpness-aware prompt learning for vision-language models—0
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models—0
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks—0
GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation—0
G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning—0
Helping Language Models Learn More: Multi-dimensional Task Prompt for Few-shot Tuning—0
Heterogeneous Subgraph Network with Prompt Learning for Interpretable Depression Detection on Social Media—0
HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning—0
Hierarchical Prompt Learning for Multi-Task Learning—0
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks—0
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?—0
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation—0
ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation—0
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning—0
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning—0
Impossible Triangle: What's Next for Pre-trained Language Models?—0
Improving Generalization of Image Captioning with Unsupervised Prompt Learning—0
Improving GenIR Systems Based on User Feedback—0
Incomplete In-context Learning—0
In-Context Code-Text Learning for Bimodal Software Engineering—0
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