BayesBiNN
Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule
Install / Use
/learn @team-approx-bayes/BayesBiNNREADME
Code for paper "Training Binary Neural Networks using the Bayesian Learning Rule". https://arxiv.org/abs/2002.10778
- Synthetic data
synthetic_data.ipynb
- Image classification
BayesBiNN method:
MNIST: python main_mnist.py --model MLPBinaryConnect --optim BayesBiNN
Cifar10: python main_cifar10.py --model MLPBinaryConnect --optim BayesBiNN
Cifar100: python main_cifar100.py --model MLPBinaryConnect --optim BayesBiNN
STE-Adam method:
MNIST: python main_mnist.py --model MLPBinaryConnect_STE --optim STE
Cifar10: python main_cifar10.py --model MLPBinaryConnect_STE --optim STE
Cifar100: python main_cifar100.py --model MLPBinaryConnect_STE --optim STE
Full-Precision Adam:
MNIST: python main_mnist.py --model MLPBinaryConnect --optim Adam
Cifar10: python main_cifar10.py --model MLPBinaryConnect --optim Adam
Cifar100: python main_cifar100.py --model MLPBinaryConnect --optim Adam
- Continual Learning
python main_permute_mnist_CL.py
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