Implementation of Bidirectional Recurrent Independent Mechanisms (Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules)

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Deep Learning BRIMs
Overview

BRIMs

Bidirectional Recurrent Independent Mechanisms

Implementation of the paper Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules

@article{mittal2020learning,
  title={Learning to combine top-down and bottom-up signals in recurrent neural networks with attention over modules},
  author={Mittal, Sarthak and Lamb, Alex and Goyal, Anirudh and Voleti, Vikram and Shanahan, Murray and Lajoie, Guillaume and Mozer, Michael and Bengio, Yoshua},
  journal={arXiv preprint arXiv:2006.16981},
  year={2020}
}

MNIST Experiments

To run MNIST Experiments, please use the following command

python train_mnist.py --emsize 300 --nlayers 2 --cuda --cudnn --algo blocks --num_blocks 6 3 --topk 4 2 --nhid 300 300 --use_inactive

CIFAR10 Experiments

To run CIFAR10 Experiments, please use the following command

python train_cifar.py --emsize 300 --nlayers 2 --cuda --cudnn --algo blocks --num_blocks 6 6 --topk 4 4 --nhid 300 300 --use_inactive

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Comments
  • Reinforcement Learning implementation

    Reinforcement Learning implementation

    Dear Sarthmit thanks for your good code , i have 2 request may I ask you to add RL experiment in repository ? and have you ever test RIM or BRIM in meta (Reinforcement) learning setup when we exposure with distribution of task ? already excuse for my poor English skill :))

    opened by RoozbehRazavi 1
  • Speed difference between two algorithm 'blocks' and 'lstm'

    Speed difference between two algorithm 'blocks' and 'lstm'

    Hello, thanks for the good code. I find that while running CIFAR10 Experiments, there is about 40x speed difference between 'blocks' and 'lstm'. Is it normal?

    opened by toco2270853 1
Owner
Sarthak Mittal
Graduate Student Department of Mathematics Universite de Montreal / MILA
Sarthak Mittal
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