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zero-shot-classification

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Showing 301–350 of 422 papers

TitleStatusHype
Teaching CLIP to Count to TenCode1
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
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable DiffusionCode1
CHiLS: Zero-Shot Image Classification with Hierarchical Label SetsCode1
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?—0
Learning Customized Visual Models with Retrieval-Augmented KnowledgeCode1
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
Attentive Mask CLIPCode1
Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders—0
Reproducible scaling laws for contrastive language-image learningCode1
NLIP: Noise-robust Language-Image Pre-training—0
LidarCLIP or: How I Learned to Talk to Point CloudsCode1
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive LearningCode1
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic SegmentationCode2
SuS-X: Training-Free Name-Only Transfer of Vision-Language ModelsCode1
Zero-Shot Classification by Logical Reasoning on Natural Language ExplanationsCode0
Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection—0
Towards Reliable Zero Shot Classification in Self-Supervised Models with Conformal Prediction—0
Text2Model: Text-based Model Induction for Zero-shot Image Classification—0
TabLLM: Few-shot Classification of Tabular Data with Large Language ModelsCode2
Non-Contrastive Learning Meets Language-Image Pre-TrainingCode0
LAION-5B: An open large-scale dataset for training next generation image-text modelsCode0
Visual Classification via Description from Large Language ModelsCode1
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
ITAINNOVA at SocialDisNER: A Transformers cocktail for disease identification in social media in Spanish—0
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free AttentionCode1
Lex2Sent: A bagging approach to unsupervised sentiment analysisCode0
Design of the topology for contrastive visual-textual alignmentCode0
Self-supervised Multi-modal Training from Uncurated Image and Reports Enables Zero-shot Oversight Artificial Intelligence in RadiologyCode0
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield NetworksCode1
Contrastive Adapters for Foundation Model Group Robustness—0
A Zero-Shot Classification Approach for a Word-Guessing Challenge—0
ProtoCLIP: Prototypical Contrastive Language Image PretrainingCode1
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism—0
Building Domain-specific Corpora from the Web: the Case of European Digital Service Infrastructures—0
CyCLIP: Cyclic Contrastive Language-Image PretrainingCode1
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot LearningCode1
Open Vocabulary Extreme Classification Using Generative Models—0
A Checkpoint on Multilingual Misogyny Identification—0
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining—0
No Token Left Behind: Explainability-Aided Image Classification and GenerationCode1
Robust Cross-Modal Representation Learning with Progressive Self-Distillation—0
An Analysis of Semantically-Aligned Speech-Text Embeddings—0
Geodesic Multi-Modal Mixup for Robust Fine-TuningCode0
Universal Prototype Transport for Zero-Shot Action Recognition and Localization—0
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