https://github.com/amazon-science/stochastic-backpropagation
https://github.com/amazon-science/stochastic-backpropagation
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.9%) to scientific vocabulary
Last synced: 11 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: amazon-science
- License: apache-2.0
- Default Branch: main
- Size: 3.82 MB
Statistics
- Stars: 17
- Watchers: 7
- Forks: 3
- Open Issues: 0
- Releases: 0
Created about 4 years ago
· Last pushed over 3 years ago
Metadata Files
Readme
Contributing
License
Code of conduct
README.md
Rekognition Stochastic Backpropagation
This repo contains the official implementation of two papers:
Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models, CVPR 2022 (Oral). The code is available at here.
An In-depth Study of Stochastic Backpropagation, NeurIPS 2022. The code is available at here.
Citation
If you find this project useful for your research, please use the following BibTeX entry.
@article{cheng2022stochastic,
title={Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models},
author={Cheng, Feng and Xu, Mingze and Xiong, Yuanjun and Chen, Hao and Li, Xinyu and Li, Wei and Xia, Wei},
journal={Computer Vision and Pattern Recognition Conference (CVPR)},
year={2022}
}
@article{fang2022depth,
title={An In-depth Study of Stochastic Backpropagation},
author={Fang, Jun and Xu, Mingze and Chen, Hao and Shuai, Bing and Tu, Zhuowen and Tighe, Joseph},
journal={Conference on Neural Information Processing Systems (NeurIPS)},
year={2022}
}
Owner
- Name: Amazon Science
- Login: amazon-science
- Kind: organization
- Website: https://amazon.science
- Twitter: AmazonScience
- Repositories: 80
- Profile: https://github.com/amazon-science
GitHub Events
Total
Last Year
Committers
Last synced: 12 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Mingze Xu | x****e@a****m | 4 |
| Amazon GitHub Automation | 5****o | 1 |
Committer Domains (Top 20 + Academic)
amazon.com: 1
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 1
- Total pull requests: 0
- Average time to close issues: 1 day
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- jbistanbul (1)