The present disclosure provides systems and methods to reduce computational costs
associated with convolutional neural networks. In addition, the present disclosure provides a …

Embodiments of a convolutional neural network (CNN) system based on using resolution-
limited small-scale CNN modules are disclosed. In some embodiments, a CNN system …

Systems and techniques for classification based on annota tion information are presented. In
one example, a system trains a convolutional neural network based on training data and a …

Method and systems of replacing operations of depthwise separable filters with first and
second replacement convolutional layers are disclosed. Depthwise separable filters …

Operations of a combination of first and second original convolutional layers followed by a
short path are replaced by operations of a set of three particular convolutional layers. The …

The architectural complexity of a neural network is reduced by selectively pruning channels.
A cost metric for a convolution layer is determined. The cost metric indicates a resource cost …

A system and method for controlling a nodal network. The method includes estimating an
effect on the objective caused by the existence or non-existence of a direct connection …

Provided are image processing method and apparatus for processing an input image using
a convolutional neural network system, and a computer-readable storage medium. The …

Some embodiments perform, in a multi-layer neural network in a computing device, a
convolution operation on input feature maps with multiple convolutional filters. The …

A computer-implemented method, computer program product, and computer processing
system are provided for word embedding. The method includes receiving, by a processor …