State-of-the-art systolic array-based accelerators adopt the traditional...
As an important algorithm in deep reinforcement learning, advantage acto...
Convolutional neural networks (CNNs) have succeeded in many practical
ap...
The echo state network (ESN) is a special type of recurrent neural netwo...
Recursive least squares (RLS) algorithms were once widely used for train...
Three-dimensional deconvolution is widely used in many computer vision
a...
Large-scale floating-point matrix multiplication is a fundamental kernel...
We propose a new 2D shape decomposition method based on the short-cut ru...