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

Structurally-Constrained Unsupervised Deep Learning for Seismic High-Resolution Reconstruction

Abstract: Seismic high-resolution reconstruction is a key step in retrieving high-resolution components to characterize subsurface geological structures. Recently, deep learning (DL) has emerged as an ...
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 ...
Purdue University

Outcomes and Objectives

Learning outcomes and objectives are the fundamental elements of most well-designed courses. Well-conceived outcomes and objectives serve as guideposts to help instructors work through the design of a ...