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zero-shot-classification

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TitleStatusHype
Prevalent Frequency of Emotional and Physical Symptoms in Social Anxiety using Zero Shot Classification: An Observational Study—0
Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data—0
Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class—0
Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification—0
Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks—0
Evolving Interpretable Visual Classifiers with Large Language Models—0
Connecting NeRFs, Images, and TextCode0
Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to LuxembourgishCode0
Training-Free Semantic Segmentation via LLM-Supervision—0
MEDBind: Unifying Language and Multimodal Medical Data Embeddings—0
Audio-Visual Compound Expression Recognition Method based on Late Modality Fusion and Rule-based Decision—0
Entity6K: A Large Open-Domain Evaluation Dataset for Real-World Entity Recognition—0
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models—0
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use—0
Leveraging Weakly Annotated Data for Hate Speech Detection in Code-Mixed Hinglish: A Feasibility-Driven Transfer Learning Approach with Large Language Models—0
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information ExtractionCode0
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding—0
Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models—0
Direct side information learning for zero-shot regressionCode0
Zero-shot Classification using Hyperdimensional Computing—0
M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient PretrainingCode0
Data-Free Generalized Zero-Shot LearningCode0
A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification—0
Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal Loss—0
Enhancing medical vision-language contrastive learning via inter-matching relation modelling—0
Benchmarking PathCLIP for Pathology Image Analysis—0
Building Vision-Language Models on Solid Foundations with Masked Distillation—0
Pipeline Enabling Zero-shot Classification for Bangla Handwritten Grapheme—0
Explaining CLIP's performance disparities on data from blind/low vision users—0
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training—0
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers—0
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective—0
tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models—0
Deep Learning and NLP in Cryptocurrency Forecasting: Integrating Financial, Blockchain, and Social Media Data—0
Investigating the Emergent Audio Classification Ability of ASR Foundation ModelsCode0
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions—0
CLAMP: A Contrastive Language And Molecule Pre-training NetworkCode0
Automatic Report Generation for Histopathology images using pre-trained Vision TransformersCode0
Generalized zero-shot audio-to-intent classification—0
Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies—0
Linear Representations of Sentiment in Large Language ModelsCode0
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement—0
SILC: Improving Vision Language Pretraining with Self-Distillation—0
MedAI Dialog Corpus (MEDIC): Zero-Shot Classification of Doctor and AI Responses in Health Consultations—0
Evaluating the Fairness of Discriminative Foundation Models in Computer VisionCode0
Estimating Uncertainty in Multimodal Foundation Models using Public Internet DataCode0
Blind Dates: Examining the Expression of Temporality in Historical Photographs—0
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift—0
Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor AttacksCode0
Telling Stories for Common Sense Zero-Shot Action RecognitionCode0
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