Code and models for Coupled Ensembles of Neural Networks

  @article{dutt2017coupledEnsembles,
    title={Coupled Ensembles of Neural Networks},
    author={Dutt, Anuvabh and Pellerin, Denis and Qu{\'}enot, Georges},
    booktitile={International Conference on Learning Representations},
    year={2018},
    url={https://openreview.net/forum?id=Hk2MHt-3-},
  }

# The options for training can be specified in config.yaml.
# Refer to the file for an example. It shows how to train a 
# a couple ensemble with `E` branches, with a basic block 
# of DenseNet-BC depth=100, growthRate=12

python train_model.py --configFile config.yaml

The models folder contains the architecture definitions. To experiment with other architectures, add a the model definition in that folder.