Real-world data typically exhibits long-tailed class distribution and contains label noise. Previous long-tail learning ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

"Blended learning" means any form of learning that mixes methods, such as face-to-face coaching and self-paced, recorded and live, individual and group, etc. In this article, I will explore six key ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Methods of K-12 teaching encompass diverse strategies and techniques utilized by educators to engage students across different subjects and grade levels. What are the 5 methods of teaching? From ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...