This repository contains code for experiments presented in the paper The Multiple Subnetwork Hypothesis: Enabling Multidomain Learning by Isolating Task-Specific Subnetworks in Feedforward Neural Networks.
If you find the contents of this repository useful, please cite our paper using the following citation:
@misc{https://doi.org/10.48550/arxiv.2207.08821,
doi = {10.48550/ARXIV.2207.08821},
url = {https://arxiv.org/abs/2207.08821},
author = {Renn, Jacob and Sotnek, Ian and Harvey, Benjamin and Caffo, Brian},
keywords = {Machine Learning (cs.LG), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {The Multiple Subnetwork Hypothesis: Enabling Multidomain Learning by Isolating Task-Specific Subnetworks in Feedforward Neural Networks},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}