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Prompt Learning

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Showing 351–400 of 678 papers

TitleStatusHype
LOBG:Less Overfitting for Better Generalization in Vision-Language Model—0
Empirical Study of Mutual Reinforcement Effect and Application in Few-shot Text Classification Tasks via Prompt—0
Animating the Past: Reconstruct Trilobite via Video Generation—0
In-Context Code-Text Learning for Bimodal Software Engineering—0
ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models—0
Item Cluster-aware Prompt Learning for Session-based Recommendation—0
On Unsupervised Prompt Learning for Classification with Black-box Language Models—0
PALM: Few-Shot Prompt Learning for Audio Language Models—0
LW2G: Learning Whether to Grow for Prompt-based Continual LearningCode0
LCMDC: Large-scale Chinese Medical Dialogue Corpora for Automatic Triage and Medical Consultation—0
What Would Happen Next? Predicting Consequences from An Event Causality GraphCode0
RmGPT: Rotating Machinery Generative Pretrained Model—0
Federated Large Language Models: Current Progress and Future Directions—0
Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint—0
Mixture of Prompt Learning for Vision Language Models—0
A Knowledge-Enhanced Disease Diagnosis Method Based on Prompt Learning and BERT Integration—0
Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations—0
Multimodal Emotion Recognition with Vision-language Prompting and Modality Dropout—0
Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images—0
Revisiting Prompt Pretraining of Vision-Language Models—0
Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials—0
Open-World Dynamic Prompt and Continual Visual Representation Learning—0
Boosting CLIP Adaptation for Image Quality Assessment via Meta-Prompt Learning and Gradient Regularization—0
MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality—0
Visual Prompting in Multimodal Large Language Models: A Survey—0
Towards Generative Class Prompt Learning for Fine-grained Visual RecognitionCode0
COSMo: CLIP Talks on Open-Set Multi-Target Domain AdaptationCode0
DLM-VMTL:A Double Layer Mapper for heterogeneous data video Multi-task prompt learning—0
Towards Graph Prompt Learning: A Survey and Beyond—0
AnoPLe: Few-Shot Anomaly Detection via Bi-directional Prompt Learning with Only Normal SamplesCode0
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation—0
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation—0
Identifying Speakers and Addressees of Quotations in Novels with Prompt LearningCode0
ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding—0
Efficient Test-Time Prompt Tuning for Vision-Language Models—0
A Multi-Source Heterogeneous Knowledge Injected Prompt Learning Method for Legal Charge Prediction—0
MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment—0
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image SegmentationCode0
PIP: Prototypes-Injected Prompt for Federated Class Incremental LearningCode0
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks—0
Advancing Prompt Learning through an External Layer—0
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning—0
SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning—0
UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt—0
Reasoning with Large Language Models, a Survey—0
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks—0
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification—0
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning—0
Heterogeneous Subgraph Network with Prompt Learning for Interpretable Depression Detection on Social Media—0
Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Self-Regularization—0
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