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A Binary Latent Autoencoder for Generative Replay Continual Learning

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Example usage on MNIST

python main.py --experiment_name MNIST_experiment --seed 12 --gpuid 0 --dataset MNIST --first_split_size 2 --other_split_size 2 --base_force_out_dim 10 --base_model_type lenet --base_model_name LeNetG --gen_batch_size 40 --base_batch_size 120 --base_schedule 15 --base_lr 0.002 --no_class_remap --skip_normalization --new_task_data_processing generated --gen_ae_pre_epochs 20 --gen_ae_epochs 200

Link to the general solution visualisation

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Forked from Continual-Learning-Benchmark

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A Binary Latent Autoencoder for Generative Replay Continual Learning

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