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Prompt Learning
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation
Identifying Speakers and Addressees of Quotations in Novels with Prompt Learning
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community
Re-boosting Self-Collaboration Parallel Prompt GAN for Unsupervised Image Restoration
BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning
ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding
Efficient Test-Time Prompt Tuning for Vision-Language Models
A Multi-Source Heterogeneous Knowledge Injected Prompt Learning Method for Legal Charge Prediction
Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models
MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment
Image Re-Identification: Where Self-supervision Meets Vision-Language Learning
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
Advancing Prompt Learning through an External Layer
SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt
Robust Calibration of Large Vision-Language Adapters
EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks
Reasoning with Large Language Models, a Survey
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
Heterogeneous Subgraph Network with Prompt Learning for Interpretable Depression Detection on Social Media
Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Self-Regularization
Tuning Vision-Language Models with Candidate Labels by Prompt Alignment
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement
Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition
Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model
EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation
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