On information plane analyses of neural network classifiers—A review
BC Geiger - IEEE Transactions on Neural Networks and …, 2021 - ieeexplore.ieee.org
We review the current literature concerned with information plane (IP) analyses of neural
network (NN) classifiers. While the underlying information bottleneck theory and the claim …
network (NN) classifiers. While the underlying information bottleneck theory and the claim …
An effective low-rank compression with a joint rank selection followed by a compression-friendly training
Low-rank compression of a neural network is one of the popular compression techniques,
where it has been known to have two main challenges. The first challenge is determining the …
where it has been known to have two main challenges. The first challenge is determining the …
A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
Compression has emerged as one of the essential deep learning research topics, especially
for the edge devices that have limited computation power and storage capacity. Among the …
for the edge devices that have limited computation power and storage capacity. Among the …