Large deep neural network (DNN) models pose the key challenge to energy efficiency due
to the significantly higher energy consumption of off-chip DRAM accesses than arithmetic or …

Pruning neural networks has regained interest in recent years as a means to compress state-
of-the-art deep neural networks and enable their deployment on resource-constrained …

Designing hardware accelerators to run the inference of convolutional neural networks
(CNN) is under intensive research. Several different architectures have been proposed …

We have witnessed the great success of deep learning in various domains, such as the
emerging large language models (LLMs) and Artificial General Intelligence (AGI), diffusion …

Deep learning has delivered its powerfulness in many application domains, especially in
computer vision, natural language processing and speech recognition. As the backbone of …

Document Analysis and Recognition is a prominent research area which combines the fields
of Computer Vision and Machine Learning and has a great impact to humanitarian studies …