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Gradient-based-Sample-Selection

Code for paper: Gradient based sample selection for online continual learning Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio. Neurips 2019

(key) Requirements

• Python 2.8 or more.
• Pytorch 1.1.0

pip install -r requirements.txt or conda install --file requirements.txt

for GSS_IQP, please install MIXEDIP package: https://github.com/oxfordcontrol/miosqp following their README file. Note that for this you need to install quadprog and osqp

---- conda install -c omnia quadprog

---- conda install -c conda-forge/label/gcc7 osqp %% if it doesn't work check this https://anaconda.org/conda-forge/osqp

Demo:

For disjoint MNIST please run ./Disjoint_Mnist.sh

For permuted MNIST please run ./Permuted_Mnist.sh

For disjoint CIFAR-10 please run ./Cifar_10.sh