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 ...

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

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 ...

Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...

Learning happened through doing, not consuming. It felt distinctly human. And it stuck. Last week, I returned to Ivey as a ...

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

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

Virginia Clinton-Lisell receives funding from the U.S. Department of Education and Hewlett Foundation. Students do better when lessons are tailored to individual learning styles – but not so much that ...