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zero-shot-classification

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Showing 201–250 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
FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing—0
Deep Learning and NLP in Cryptocurrency Forecasting: Integrating Financial, Blockchain, and Social Media Data—0
From Haystack to Needle: Label Space Reduction for Zero-shot Classification—0
Frozen Language Model Helps ECG Zero-Shot Learning—0
Generalized zero-shot audio-to-intent classification—0
Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation—0
Generating Visual Representations for Zero-Shot Classification—0
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions—0
Hard Negative Mining for Metric Learning Based Zero-Shot Classification—0
Harmonizing and Merging Source Models for CLIP-based Domain Generalization—0
Have Large Vision-Language Models Mastered Art History?—0
Helping Large Language Models Protect Themselves: An Enhanced Filtering and Summarization System—0
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers—0
Image Classification Using a Diffusion Model as a Pre-Training Model—0
Improving Predictor Reliability with Selective Recalibration—0
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification—0
Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models—0
ITAINNOVA at SocialDisNER: A Transformers cocktail for disease identification in social media in Spanish—0
It's Not a Modality Gap: Characterizing and Addressing the Contrastive Gap—0
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs—0
Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models—0
Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification—0
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning—0
Latent Embeddings for Zero-shot Classification—0
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science—0
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