Optimizing Neural Networks with Gradient Lexicase Selection

Optimizing Neural Networks with Gradient Lexicase Selection, Ding & Spector, ICLR 2022.

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Basic usage:

• To train and evaluate baseline architectures, do

python3 base.py

• To train and evaluate gradient lexicase selection, do

python3 lexi.py

Also use the --help flag to see instructions for optional arguments to configure architecture and dataset:

• The architectures are indexed as follows (from 0 to 6): VGG, ResNet18, ResNet50, DenseNet121, MobileNetV2, SENet18, EfficientNetB0

• The datasets are specified as follows: 'C10' - CIFAR-10, 'C100' - CIFAR-100, 'SVHN' - SVHN

Please contact the authors for further questions.