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zero-shot-classification

Papers

Showing 201–225 of 422 papers

TitleStatusHype
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification—0
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability—0
Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation—0
Divergence-Based Domain Transferability for Zero-Shot Classification—0
EEG-Language Modeling for Pathology Detection—0
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective—0
Effective Few-Shot Classification with Transfer Learning—0
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models—0
Efficient Test-Time Prompt Tuning for Vision-Language Models—0
Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class—0
Enhancing Chest X-ray Classification through Knowledge Injection in Cross-Modality Learning—0
Enhancing medical vision-language contrastive learning via inter-matching relation modelling—0
Enhancing Small Language Models for Cross-Lingual Generalized Zero-Shot Classification with Soft Prompt Tuning—0
Entity6K: A Large Open-Domain Evaluation Dataset for Real-World Entity Recognition—0
ESP-Zero: Unsupervised enhancement of zero-shot classification for Extremely Sparse Point cloud—0
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training—0
Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews—0
Evaluation of ChatGPT for NLP-based Mental Health Applications—0
Evolving Interpretable Visual Classifiers with Large Language Models—0
Explaining CLIP's performance disparities on data from blind/low vision users—0
Exploiting CLIP-based Multi-modal Approach for Artwork Classification and Retrieval—0
Exploiting the Textual Potential from Vision-Language Pre-training for Text-based Person Search—0
Fill the Gap: Quantifying and Reducing the Modality Gap in Image-Text Representation Learning—0
CLAREL: Classification via retrieval loss for zero-shot learning—0
Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection—0
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