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Code to reproduce the experiments of ICLR2023-paper: How I Learned to Stop Worrying and Love Retraining
Science Score: 38.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
✓Committers with academic emails
1 of 3 committers (33.3%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.1%) to scientific vocabulary
Keywords
Repository
Code to reproduce the experiments of ICLR2023-paper: How I Learned to Stop Worrying and Love Retraining
Basic Info
Statistics
- Stars: 8
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
[ICLR2023] How I Learned to Stop Worrying and Love Retraining
Authors: Max Zimmer, Christoph Spiegel, Sebastian Pokutta
This repository contains the code to reproduce the experiments from the ICLR2023 paper "How I Learned to Stop Worrying and Love Retraining". The code is based on PyTorch 1.9 and the experiment-tracking platform Weights & Biases. The code to reproduce semantic segmentation as well as NLP experiments will be added soon.
Structure and Usage
Experiments are started from the following file:
- main.py: Starts experiments using the dictionary format of Weights & Biases.
The rest of the project is structured as follows:
- strategies: Contains all used sparsification methods.
- runners: Contains classes to control the training and collection of metrics.
- metrics: Contains all metrics as well as FLOP computation methods.
- models: Contains all model architectures used.
- utilities: Contains useful auxiliary functions and classes.
Citation
In case you find the paper or the implementation useful for your own research, please consider citing:
@inproceedings{zimmer2023how,
title={How I Learned to Stop Worrying and Love Retraining},
author={Max Zimmer and Christoph Spiegel and Sebastian Pokutta},
booktitle={The Eleventh International Conference on Learning Representations },
year={2023},
url={https://openreview.net/forum?id=_nF5imFKQI}
}
Owner
- Name: IOL Lab
- Login: ZIB-IOL
- Kind: organization
- Location: Germany
- Website: https://iol.zib.de
- Repositories: 27
- Profile: https://github.com/ZIB-IOL
Working on optimization and learning at the intersection of mathematics and computer science
Citation (citation.bib)
@inproceedings{zimmer2023how,
title={How I Learned to Stop Worrying and Love Retraining},
author={Max Zimmer and Christoph Spiegel and Sebastian Pokutta},
booktitle={The Eleventh International Conference on Learning Representations },
year={2023},
url={https://openreview.net/forum?id=_nF5imFKQI}
}
GitHub Events
Total
- Watch event: 3
Last Year
- Watch event: 3
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Max Zimmer | m****r@m****g | 7 |
| Max Zimmer | m****r@c****e | 2 |
| Max | 6****m | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 10 months ago
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Past Year
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- Pull requests: 0
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