Extreme edge platforms, such as in-vehicle smart devices, require effici...
Nowadays, deep learning based methods have demonstrated impressive
perfo...
Cache side channel attacks are increasingly alarming in modern processor...
Posit has been a promising alternative to the IEEE-754 floating point fo...
As an application of Natural Language Processing (NLP) techniques, finan...
Vision Transformer (ViT) has emerged as a competitive alternative to
con...
Deep Forest is a prominent machine learning algorithm known for its high...
Pre-trained BERT models have achieved impressive accuracy on natural lan...
Multiplication is arguably the most cost-dominant operation in modern de...
Deep learning-based point cloud processing plays an important role in va...
The Transformer has been an indispensable staple in deep learning. Howev...
With the popularity of deep learning, the hardware implementation platfo...
With the proliferation of mobile devices and the Internet of Things, dee...
Existing deep convolutional neural networks (CNNs) generate massive
inte...
Despite the great success in Natural Language Processing (NLP) area, lar...
Designing hardware accelerators for deep neural networks (DNNs) has been...
With the increasing size of Deep Neural Network (DNN) models, the high m...
Deep 3-dimensional (3D) Convolutional Network (ConvNet) has shown promis...
The Connectionist Temporal Classification (CTC) has achieved great succe...
High-speed rail (HSR) systems potentially provide a more efficient way o...
Deep neural networks (DNNs) have been proven to have many redundancies.
...
Deep convolutional neural network (DCNN) has achieved remarkable perform...