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This is a PyTorch implement of ''Abstract Reasoning with Distracting Features'' that appears in the NeurIPS 2019.

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Abstract Reasoning with Distracting Features

To appear in NeurIPS 2019.

Abstract Reasoning with Distracting Features

(Kecheng Zheng, Wei Wei and Zheng-jun Zha, 2019)



Dataset

To download the dataset, please check chizhang's project page.

Performance

For details, please check our paper.

Dependencies

Important

  • Python 2.7
  • PyTorch
  • CUDA and cuDNN

Usage

Benchmarking

python main.py --net <model name> --datapath <path to the dataset> --rl False --typeloss False

#TODO

  1. The code for PGM dataset
  2. The long-term features (state) in teacher model

Citation

If you find the paper and/or the code helpful, please cite us.

@inproceedings{zheng2019abstract,
    title={Abstract Reasoning with Distracting Features},
    author={Kecheng Zheng and Zheng-jun Zha and Wei Wei},
    booktitle={Advances in Neural Information Processing Systems},
    year={2019}
}

Acknowledgement

Contact

Please feel free to discuss paper/code through issues or emails.

License

Apache License 2.0

About

This is a PyTorch implement of ''Abstract Reasoning with Distracting Features'' that appears in the NeurIPS 2019.

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