IEEE

Unsupervised Projected Sample Selector for Active Learning

Abstract: Active learning, as a technique, aims to effectively label specific data points while operating within a designated query budget. Nevertheless, the majority of unsupervised active learning ...
IEEE

Unsupervised Learning-Based Low-Complexity Integrated Sensing and Communication Precoder Design

Abstract: This study proposes an unsupervised deep learning-based (DL-based) approach to precoding design for integrated sensing and communication (ISAC) systems. Designing a dynamic precoder that can ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
GitHub

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models

🔥 Some other prompt learning projects from our lab may interest you: Advancing Textual Prompt Learning with Anchored Attributes. Zheng Li, Yibing Song, Ming-Ming Cheng, Xiang Li#, Jian Yang#. In this ...