This repository is associated with our paper.
@article{ott2020learning,
title={Learning in the machine: To share or not to share?},
author={Ott, Jordan and Linstead, Erik and LaHaye, Nicholas and Baldi, Pierre},
journal={Neural Networks},
year={2020},
publisher={Elsevier}
}
- Number of layers
- Learning rate
- Types of augmentation
- Edge noise
- Translation
- Rotation
- Noise
- Quadrant swap
- Metrics
- Loss
- Validation loss
- Training accuracy
- Validation accuracy
- Edge noise augmented validation accuracy
- Translation augmented validation accuracy
- Noise augmented validation accuracy
- Rotation augmented validation accuracy
- Approximate weight sharing
- Observing the distance between free convolutional filters within a layer
- Variable Connection Patterns
- Varying the probability