Researchers have long tried to minimize training costs in deep learning while maintaining
strong generalization across diverse datasets. Emerging research on dataset distillation …

As the saying goes, sometimes less is more-and when it comes to neural networks, that
couldn't be more true. Enter pruning, the art of selectively trimming away unnecessary parts …

We introduce the $\textbf {O} $ ne-shot $\textbf {P} $ runing $\textbf {T} $ echnique for $\textbf
{I} $ nterchangeable $\textbf {N} $ etworks ($\textbf {OPTIN} $) framework as a tool to …

Multi-label image classification presents a challenging task in many domains, including
computer vision and medical imaging. Recent advancements have introduced graph-based …

User Interface (UI) understanding has been an increasingly popular topic over the last few
years. So far, there has been a vast focus solely on web and mobile applications. In this …

Dynamic scene graph generation (SGG) from videos requires not only comprehensive
understanding of objects across the scenes that are prone to temporal fluctuations but also a …