Augmented reality (AR) display, which superimposes virtual images on ambient scene, can
visually blend the physical world and the digital world and thus opens a new vista for human …

In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …

Monkeypox has become a significant global challenge as the number of cases increases
daily. Those infected with the disease often display various skin symptoms and can spread …

The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven
unconditional generative image modeling. We expose and analyze several of its …

Abstract Deep Convolutional Neural Network (CNN) is a special type of Neural Networks,
which has shown exemplary performance on several competitions related to Computer …

From the autonomous car driving to medical diagnosis, the requirement of the task of image
segmentation is everywhere. Segmentation of an image is one of the indispensable tasks in …

We propose a new formulation for pruning convolutional kernels in neural networks to
enable efficient inference. We interleave greedy criteria-based pruning with fine-tuning by …

Restart techniques are common in gradient-free optimization to deal with multimodal
functions. Partial warm restarts are also gaining popularity in gradient-based optimization to …

The emergence of computation intensive and delay sensitive on-vehicle applications makes
it quite a challenge for vehicles to be able to provide the required level of computation …

This paper provides a review and commentary on the past, present, and future of numerical
optimization algorithms in the context of machine learning applications. Through case …