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[NeurIPS 2017][Oral] From Bayesian Sparsity to Gated Recurrent Nets

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hehaodele/SBL-LSTM-Net

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SBL-LSTM-Net

This is the original implementation of the deep nerual network model proposed in our paper, "From Bayesian Sparsity to Gated Recurrent Nets"[Paper].

If you find this code useful in your research, please cite:

@article{he2017bayesian,
  title={From Bayesian Sparsity to Gated Recurrent Nets},
  author={He, Hao and Xin, Bo and Wipf, David},
  journal={arXiv preprint arXiv:1706.02815},
  year={2017}
}

Requirements

  • Linux or macOS
  • Torch 7
  • Python 2 or 3
  • CPU or NVIDIA GPU + CUDA CuDNN

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