Robust Learning with Implicit Residual Networks

In this effort, we propose a new deep architecture utilizing residual blocks inspired by implicit discretization schemes. As opposed to the standard feed-forward networks, the outputs of the proposed implicit residual blocks are defined as the fixed points of the appropriately chosen nonlinear trans...

Full description

Bibliographic Details
Main Authors: Viktor Reshniak, Clayton G. Webster
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Machine Learning and Knowledge Extraction
Subjects:
Online Access:https://www.mdpi.com/2504-4990/3/1/3