DESIGN OF SECURE AND EFFICIENT FRAMEWORK FOR VEHICULAR DIGITAL TWIN NETWORKS USING ECC



Exploring the Impact of Additive Shortcuts in Neural Networks via Information Bottleneck-like Dynamics: From ResNet to Transformer

Deep learning has made significant strides, driving advances in areas like computer vision, natural language processing, and autonomous systems.In this paper, we further investigate the implications of the role of additive shortcut connections, focusing on models such as ResNet, Vision Transformers (ViTs), and MLP-Mixers, given that they are essent

read more