Chaim Baskin - Efficient and Robust Deep Learning architectures for Real-World problems
The advancements in deep learning models and their ability to excel in various fields are awe-inspiring, but practical applications still face several challenges. From a data-centric perspective, Deep Neural Networks (DNNs) require a vast amount of precisely labeled data.