RobertCsordas / modules

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

Date Created 2020-07-12 (4 years ago)

Commits 24 (last one 3 years ago)

Stargazers 46 (0 this week)

Watchers 0 (0 this week)

Forks 9

License bsd-3-clause

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RepositoryStats indexes 579,555 repositories, of these RobertCsordas/modules is ranked #479,804 (17th percentile) for total stargazers, and #576,138 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #91,893/115,123.

RobertCsordas/modules is also tagged with popular topics, for these it's ranked: deep-learning (#7,199/8344), machine-learning (#6,849/7877), pytorch (#5,080/5914), transformers (#676/820), paper (#392/431)

Other Information

RobertCsordas/modules has 4 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.

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rnn paper pytorch modularity transformers deep-learning generalization weight-sharing machine-learning

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updated: 2024-08-01 @ 01:10am, id: 279082703 / R_kgDOEKJ2zw