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zero-shot-classification

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Showing 301–350 of 422 papers

TitleStatusHype
Exploiting CLIP-based Multi-modal Approach for Artwork Classification and Retrieval—0
Auto-ACD: A Large-scale Dataset for Audio-Language Representation Learning—0
Zero-Shot Visual Classification with Guided Cropping—0
Mitigating Word Bias in Zero-shot Prompt-based ClassifiersCode0
Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment—0
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training—0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—0
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability—0
Robustifying Point Cloud Networks by RefocusingCode0
Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models—0
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP—0
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation—0
Improving Zero-Shot Detection of Low Prevalence Chest Pathologies using Domain Pre-trained Language ModelsCode0
Analysis of the Fed's communication by using textual entailment model of Zero-Shot classification—0
Multi-level Cross-modal Feature Alignment via Contrastive Learning towards Zero-shot Classification of Remote Sensing Image ScenesCode0
Adapting Language-Audio Models as Few-Shot Audio Learners—0
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification—0
OverPrompt: Enhancing ChatGPT through Efficient In-Context LearningCode0
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science—0
Boosting Visual-Language Models by Exploiting Hard SamplesCode0
The Benefits of Label-Description Training for Zero-Shot Text ClassificationCode0
Unsupervised Improvement of Audio-Text Cross-Modal RepresentationsCode0
CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information RetrievalCode0
WYTIWYR: A User Intent-Aware Framework with Multi-modal Inputs for Visualization RetrievalCode0
What does CLIP know about a red circle? Visual prompt engineering for VLMs—0
RECLIP: Resource-efficient CLIP by Training with Small Images—0
SoftCLIP: Softer Cross-modal Alignment Makes CLIP Stronger—0
Evaluation of ChatGPT for NLP-based Mental Health Applications—0
Prompt-Guided Transformers for End-to-End Open-Vocabulary Object Detection—0
Frozen Language Model Helps ECG Zero-Shot Learning—0
Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification—0
Exploiting the Textual Potential from Vision-Language Pre-training for Text-based Person Search—0
Describe me an Aucklet: Generating Grounded Perceptual Category DescriptionsCode0
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models—0
LiT Tuned Models for Efficient Species DetectionCode0
Divergence-Based Domain Transferability for Zero-Shot Classification—0
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?—0
When are Lemons Purple? The Concept Association Bias of Vision-Language Models—0
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning—0
NLIP: Noise-robust Language-Image Pre-training—0
Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders—0
Zero-Shot Classification by Logical Reasoning on Natural Language ExplanationsCode0
Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection—0
Text2Model: Text-based Model Induction for Zero-shot Image Classification—0
Towards Reliable Zero Shot Classification in Self-Supervised Models with Conformal Prediction—0
Non-Contrastive Learning Meets Language-Image Pre-TrainingCode0
LAION-5B: An open large-scale dataset for training next generation image-text modelsCode0
Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents—0
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations—0
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer DataCode0
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