https://github.com/swabhs/notebooks_for_aflite

IPython notebook with synthetic experiments for AFLite, based on the ICML 2020 paper, "Adversarial Filters of Dataset Biases".
https://github.com/swabhs/notebooks_for_aflite

Last synced: about 1 month ago
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IPython notebook with synthetic experiments for AFLite, based on the ICML 2020 paper, "Adversarial Filters of Dataset Biases".

• Host: GitHub
• URL: https://github.com/swabhs/notebooks_for_aflite
• Owner: swabhs
• Created: 2020-08-10T06:02:09.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-14T18:22:06.000Z (almost 5 years ago)
• Last Synced: 2025-03-23T19:38:58.055Z (2 months ago)
• Language: Jupyter Notebook
• Size: 2.05 MB
• Stars: 16
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# notebooks_for_aflite

IPython notebook with synthetic experiments for AFLite, based on the ICML 2020 paper, "Adversarial Filters of Dataset Biases".

Based on the ICML 2020 paper, Adversarial Filters for Dataset Biases. If using, please cite:

```

@inproceedings{LeBras2020AdversarialFilters,

  title={Adversarial Filters of Dataset Biases},

  author={Ronan {Le Bras} and Swabha Swayamdipta and Chandra Bhagavatula and 

          Rowan Zellers and Matthew E. Peters and Ashish Sabharwal and Yejin Choi},

  booktitle={ICML},

  year={2020},

  url={https://arxiv.org/abs/2002.04108}

}

```