Re-code some static architectural models in Continual Learning for evaluation and comparison
Source: Uncertainty-based Continual Learning with Adaptive Regularization (UCL) - published at NeurIPS 2019
$ python3 main.py --experiment split_cifar10_100 --approach ucl --conv-net --beta 0.0002 --ratio 0.125 --lr_rho 0.01 --alpha 0.3
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