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Prompt Learning

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Showing 401–425 of 678 papers

TitleStatusHype
Bayesian Principles Improve Prompt Learning In Vision-Language Models—0
BERT 4EVER@LT-EDI-ACL2022-Detecting signs of Depression from Social Media:Detecting Depression in Social Media using Prompt-Learning and Word-Emotion Cluster—0
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking—0
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning—0
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation—0
Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation—0
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM—0
Boosting CLIP Adaptation for Image Quality Assessment via Meta-Prompt Learning and Gradient Regularization—0
Can Prompt Learning Benefit Radiology Report Generation?—0
CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model—0
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering—0
CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing—0
Class-Incremental Few-Shot Event Detection—0
CLEAR: Cluster-based Prompt Learning on Heterogeneous Graphs—0
CLIP-Based Modality Compensation for Visible-Infrared Image Re-Identification—0
CLIP-driven Outliers Synthesis for few-shot OOD detection—0
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not—0
CLIP Guided Image-perceptive Prompt Learning for Image Enhancement—0
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards—0
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning—0
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-world—0
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt—0
Concept-Guided Prompt Learning for Generalization in Vision-Language Models—0
ConsPrompt: Exploiting Contrastive Samples for Fewshot Prompt Learning—0
Context-Aware Prompt: Customize A Unique Prompt For Each Input—0
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