SOTAVerified

zero-shot-classification

Papers

Showing 151200 of 422 papers

TitleStatusHype
Real-Time Cell Sorting with Scalable In Situ FPGA-Accelerated Deep LearningCode0
Geodesic Multi-Modal Mixup for Robust Fine-TuningCode0
Generative Diffusion Model Bootstraps Zero-shot Classification of Fetal Ultrasound Images In Underrepresented African PopulationsCode0
Automatic Report Generation for Histopathology images using pre-trained Vision TransformersCode0
Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation ModelsCode0
Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIPCode0
AmorLIP: Efficient Language-Image Pretraining via AmortizationCode0
Automated Medical Report Generation for ECG Data: Bridging Medical Text and Signal Processing with Deep LearningCode0
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
A Unified Debiasing Approach for Vision-Language Models across Modalities and TasksCode0
Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to LuxembourgishCode0
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information ExtractionCode0
Online Zero-Shot Classification with CLIPCode0
Fine-Grained Zero-Shot Learning with DNA as Side InformationCode0
Self-supervised Multi-modal Training from Uncurated Image and Reports Enables Zero-shot Oversight Artificial Intelligence in RadiologyCode0
On the effectiveness of Large Language Models in the mechanical design domainCode0
Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding AlignmentCode0
NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion ModelsCode0
Multi-level Cross-modal Feature Alignment via Contrastive Learning towards Zero-shot Classification of Remote Sensing Image ScenesCode0
OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-AdjustmentCode0
MoRE: Multi-Modal Contrastive Pre-training with Transformers on X-Rays, ECGs, and Diagnostic ReportCode0
Multimodal Remote Sensing Scene Classification Using VLMs and Dual-Cross Attention NetworksCode0
Non-Contrastive Learning Meets Language-Image Pre-TrainingCode0
OverPrompt: Enhancing ChatGPT through Efficient In-Context LearningCode0
CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information RetrievalCode0
Evaluation of Output Embeddings for Fine-Grained Image ClassificationCode0
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced TrainingCode0
CLAMP: A Contrastive Language And Molecule Pre-training NetworkCode0
Evaluating the Fairness of Discriminative Foundation Models in Computer VisionCode0
ModalChorus: Visual Probing and Alignment of Multi-modal Embeddings via Modal Fusion MapCode0
Estimating Uncertainty in Multimodal Foundation Models using Public Internet DataCode0
Mitigating Word Bias in Zero-shot Prompt-based ClassifiersCode0
Enhancing Visual Classification using Comparative DescriptorsCode0
A Statistical Theory of Contrastive Pre-training and Multimodal Generative AICode0
LiT Tuned Models for Efficient Species DetectionCode0
LLM Chain Ensembles for Scalable and Accurate Data AnnotationCode0
Linear Representations of Sentiment in Large Language ModelsCode0
Gradient Matching Generative Networks for Zero-Shot LearningCode0
CapS-Adapter: Caption-based MultiModal Adapter in Zero-Shot ClassificationCode0
Learning Deep Representations of Fine-grained Visual DescriptionsCode0
Learning Portrait Style RepresentationsCode0
LAION-5B: An open large-scale dataset for training next generation image-text modelsCode0
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?Code0
Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular DataCode0
Lex2Sent: A bagging approach to unsupervised sentiment analysisCode0
Investigating the Emergent Audio Classification Ability of ASR Foundation ModelsCode0
Direct side information learning for zero-shot regressionCode0
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language AlignmentCode0
Boosting Visual-Language Models by Exploiting Hard SamplesCode0
Improving Zero-Shot Detection of Low Prevalence Chest Pathologies using Domain Pre-trained Language ModelsCode0
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