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distracting_feature

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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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// repository documentation

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# Abstract Reasoning with Distracting Features

To appear in NeurIPS 2019.

[Abstract Reasoning with Distracting Features](http://arxiv.org/abs/1912.00569)

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

# Dataset

To download the dataset, please check [chizhang's project page](http://wellyzhang.github.io/project/raven.html#dataset).

# Performance

For details, please check our [paper](http://arxiv.org/abs/1912.00569).

# 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

* [Wild Relational Network](https://github.com/Fen9/WReN)

## Contact

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

### License 
[Apache License 2.0](./LICENSE)

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