├── CAT.png ├── README.md ├── approaches ├── .DS_Store ├── __init__.py ├── __pycache__ │ ├── MixKan.cpython-36.pyc │ ├── MixKan.cpython-37.pyc │ ├── MixKan2.cpython-37.pyc │ ├── MixKanTest.cpython-37.pyc │ ├── MixKan_transfer.cpython-37.pyc │ ├── MixMaskKan.cpython-37.pyc │ ├── MixTaskKan.cpython-37.pyc │ ├── MixTaskTransferKan.cpython-37.pyc │ ├── MixTruthKan.cpython-37.pyc │ ├── __init__.cpython-36.pyc │ ├── __init__.cpython-37.pyc │ ├── adam.cpython-37.pyc │ ├── cap_mask_ncl.cpython-37.pyc │ ├── ewc.cpython-37.pyc │ ├── hat.cpython-37.pyc │ ├── joint.cpython-37.pyc │ ├── kan.cpython-37.pyc │ ├── mcl.cpython-37.pyc │ ├── original_cap_ncl.cpython-37.pyc │ ├── progressive.cpython-37.pyc │ ├── sgd.cpython-37.pyc │ └── sgd_restart.cpython-37.pyc ├── adam.py ├── cat_ncl.py ├── cnn_pathnet_ncl.py ├── ewc.py ├── ewc_ncl.py ├── frozen_ncl.py ├── hat.py ├── hat_ncl.py ├── hat_test.py ├── imm_mean.py ├── imm_mean_ncl.py ├── imm_mode.py ├── imm_mode_ncl.py ├── joint.py ├── lfl.py ├── lfl_ncl.py ├── lwf.py ├── lwf_ncl.py ├── mcl.py ├── mlp_pathnet_ncl.py ├── mtl.py ├── ncl.py ├── one.py ├── pathnet.py ├── pathnet_ncl.py ├── progressive.py ├── progressive_ncl.py ├── random.py ├── random_ncl.py ├── sgd.py ├── sgd_frozen.py └── sgd_restart.py ├── config.py ├── dat ├── celeba │ └── small │ │ └── iid │ │ ├── test │ │ └── all_data_iid_01_05_keep_5_test_9.json │ │ └── train │ │ └── all_data_iid_01_05_keep_5_train_9.json └── femnist │ └── small │ └── iid │ ├── test10 │ ├── all_data_0_iid_01_05_keep_0_test_9.json │ ├── all_data_1_iid_01_05_keep_0_test_9.json │ ├── all_data_2_iid_01_05_keep_0_test_9.json │ ├── all_data_3_iid_01_05_keep_0_test_9.json │ ├── all_data_4_iid_01_05_keep_0_test_9.json │ ├── all_data_5_iid_01_05_keep_0_test_9.json │ ├── all_data_6_iid_01_05_keep_0_test_9.json │ ├── all_data_7_iid_01_05_keep_0_test_9.json │ ├── all_data_8_iid_01_05_keep_0_test_9.json │ └── all_data_9_iid_01_05_keep_0_test_9.json │ ├── test20 │ ├── all_data_0_iid_01_05_keep_0_test_9.json │ ├── all_data_10_iid_01_05_keep_0_test_9.json │ ├── all_data_11_iid_01_05_keep_0_test_9.json │ ├── all_data_12_iid_01_05_keep_0_test_9.json │ ├── all_data_13_iid_01_05_keep_0_test_9.json │ ├── all_data_14_iid_01_05_keep_0_test_9.json │ ├── all_data_15_iid_01_05_keep_0_test_9.json │ ├── all_data_16_iid_01_05_keep_0_test_9.json │ ├── all_data_17_iid_01_05_keep_0_test_9.json │ ├── all_data_18_iid_01_05_keep_0_test_9.json │ ├── all_data_19_iid_01_05_keep_0_test_9.json │ ├── all_data_1_iid_01_05_keep_0_test_9.json │ ├── all_data_2_iid_01_05_keep_0_test_9.json │ ├── all_data_3_iid_01_05_keep_0_test_9.json │ ├── all_data_4_iid_01_05_keep_0_test_9.json │ ├── all_data_5_iid_01_05_keep_0_test_9.json │ ├── all_data_6_iid_01_05_keep_0_test_9.json │ ├── all_data_7_iid_01_05_keep_0_test_9.json │ ├── all_data_8_iid_01_05_keep_0_test_9.json │ └── all_data_9_iid_01_05_keep_0_test_9.json │ ├── train10 │ ├── all_data_0_iid_01_05_keep_0_train_9.json │ ├── all_data_1_iid_01_05_keep_0_train_9.json │ ├── all_data_2_iid_01_05_keep_0_train_9.json │ ├── all_data_3_iid_01_05_keep_0_train_9.json │ ├── all_data_4_iid_01_05_keep_0_train_9.json │ ├── all_data_5_iid_01_05_keep_0_train_9.json │ ├── all_data_6_iid_01_05_keep_0_train_9.json │ ├── all_data_7_iid_01_05_keep_0_train_9.json │ ├── all_data_8_iid_01_05_keep_0_train_9.json │ └── all_data_9_iid_01_05_keep_0_train_9.json │ └── train20 │ ├── all_data_0_iid_01_05_keep_0_train_9.json │ ├── all_data_10_iid_01_05_keep_0_train_9.json │ ├── all_data_11_iid_01_05_keep_0_train_9.json │ ├── all_data_12_iid_01_05_keep_0_train_9.json │ ├── all_data_13_iid_01_05_keep_0_train_9.json │ ├── all_data_14_iid_01_05_keep_0_train_9.json │ ├── all_data_15_iid_01_05_keep_0_train_9.json │ ├── all_data_16_iid_01_05_keep_0_train_9.json │ ├── all_data_17_iid_01_05_keep_0_train_9.json │ ├── all_data_18_iid_01_05_keep_0_train_9.json │ ├── all_data_19_iid_01_05_keep_0_train_9.json │ ├── all_data_1_iid_01_05_keep_0_train_9.json │ ├── all_data_2_iid_01_05_keep_0_train_9.json │ ├── all_data_3_iid_01_05_keep_0_train_9.json │ ├── all_data_4_iid_01_05_keep_0_train_9.json │ ├── all_data_5_iid_01_05_keep_0_train_9.json │ ├── all_data_6_iid_01_05_keep_0_train_9.json │ ├── all_data_7_iid_01_05_keep_0_train_9.json │ ├── all_data_8_iid_01_05_keep_0_train_9.json │ └── all_data_9_iid_01_05_keep_0_train_9.json ├── dataloaders ├── __init__.py ├── __pycache__ │ ├── mixceleba.cpython-37.pyc │ └── mixemnist.cpython-37.pyc ├── mixceleba.py └── mixemnist.py ├── mixceleba_random_10 ├── mixceleba_random_20 ├── mixceleba_random_30 ├── mixceleba_random_40 ├── mixemnist_random_20 ├── mixemnist_random_30 ├── mixemnist_random_30_old ├── mixemnist_random_40 ├── networks ├── .DS_Store ├── __init__.py ├── __pycache__ │ ├── KimnetKan.cpython-37.pyc │ ├── MlpAutoKan.cpython-37.pyc │ ├── MlpKan.cpython-36.pyc │ ├── MlpKan.cpython-37.pyc │ ├── __init__.cpython-36.pyc │ ├── __init__.cpython-37.pyc │ ├── alexnet_hat.cpython-37.pyc │ ├── alexnet_progressive.cpython-37.pyc │ ├── kimnet.cpython-37.pyc │ ├── kimnet_hat.cpython-37.pyc │ ├── mlp.cpython-37.pyc │ ├── mlp_cap_mask.cpython-37.pyc │ ├── mlp_hat.cpython-37.pyc │ ├── mlp_progressive.cpython-37.pyc │ └── original_cap.cpython-37.pyc ├── cnn.py ├── cnn_cat.py ├── cnn_hat.py ├── cnn_lfl.py ├── cnn_pathnet.py ├── cnn_progressive.py ├── mlp.py ├── mlp_cat.py ├── mlp_hat.py ├── mlp_pathnet.py └── mlp_progressive.py ├── plot_results.py ├── ratio30.py ├── reference ├── UCL │ ├── LICENSE │ ├── README.md │ ├── approaches │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-36.pyc │ │ │ ├── container.cpython-36.pyc │ │ │ ├── conv_ewc_LRP.cpython-36.pyc │ │ │ ├── ewc.cpython-36.pyc │ │ │ ├── ewc_LRP.cpython-36.pyc │ │ │ ├── ewc_LRP_with_log.cpython-36.pyc │ │ │ ├── ewc_LRPabs_with_log.cpython-36.pyc │ │ │ ├── ewc_with_log.cpython-36.pyc │ │ │ ├── hat.cpython-36.pyc │ │ │ ├── imm_mean.cpython-36.pyc │ │ │ ├── imm_mode.cpython-36.pyc │ │ │ ├── joint.cpython-36.pyc │ │ │ ├── lfl.cpython-36.pyc │ │ │ ├── linear.cpython-36.pyc │ │ │ ├── lwf.cpython-36.pyc │ │ │ ├── lwf_with_log.cpython-36.pyc │ │ │ ├── mas.cpython-36.pyc │ │ │ ├── mlp_ewc_LRP.cpython-36.pyc │ │ │ ├── module.cpython-36.pyc │ │ │ ├── pathnet.cpython-36.pyc │ │ │ ├── pattern_with_log.cpython-36.pyc │ │ │ ├── progressive.cpython-36.pyc │ │ │ ├── random.cpython-36.pyc │ │ │ ├── relu.cpython-36.pyc │ │ │ ├── rwalk.cpython-36.pyc │ │ │ ├── sgd.cpython-36.pyc │ │ │ ├── sgd_L2_with_log.cpython-36.pyc │ │ │ ├── sgd_frozen.cpython-36.pyc │ │ │ ├── sgd_restart.cpython-36.pyc │ │ │ ├── sgd_with_log.cpython-36.pyc │ │ │ ├── si.cpython-36.pyc │ │ │ ├── si_with_log.cpython-36.pyc │ │ │ ├── ucl.cpython-36.pyc │ │ │ └── ucl_ablation.cpython-36.pyc │ │ ├── ewc.py │ │ ├── hat.py │ │ ├── hat_test.py │ │ ├── mas.py │ │ ├── rwalk.py │ │ ├── si.py │ │ └── ucl.py │ ├── arguments.py │ ├── bayes_layer.py │ ├── dataloaders │ │ ├── celeba.py │ │ ├── cifar10.py │ │ ├── cifar100.py │ │ ├── emnist.py │ │ ├── femnist.py │ │ ├── mixceleba.py │ │ ├── mixemnist.py │ │ ├── mixemnistceleba.py │ │ ├── omniglot.py │ │ ├── pmnist.py │ │ ├── row_pmnist.py │ │ ├── sentiment.py │ │ ├── split_cifar100.py │ │ ├── split_cifar10_100.py │ │ ├── split_mnist.py │ │ ├── split_notmnist.py │ │ └── split_omniglot.py │ ├── main.py │ ├── networks │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-36.pyc │ │ │ ├── alexnet.cpython-36.pyc │ │ │ ├── alexnet_hat.cpython-36.pyc │ │ │ ├── alexnet_ucl.cpython-36.pyc │ │ │ ├── container.cpython-36.pyc │ │ │ ├── conv_ewc_LRP.cpython-36.pyc │ │ │ ├── conv_net.cpython-36.pyc │ │ │ ├── conv_net_hat.cpython-36.pyc │ │ │ ├── conv_net_omniglot.cpython-36.pyc │ │ │ ├── conv_net_omniglot_ucl.cpython-36.pyc │ │ │ ├── conv_net_resnet.cpython-36.pyc │ │ │ ├── conv_net_resnet18.cpython-36.pyc │ │ │ ├── conv_net_resnet18_small.cpython-36.pyc │ │ │ ├── conv_net_ucl.cpython-36.pyc │ │ │ ├── conv_net_vgg.cpython-36.pyc │ │ │ ├── convolution.cpython-36.pyc │ │ │ ├── linear.cpython-36.pyc │ │ │ ├── mlp.cpython-36.pyc │ │ │ ├── mlp_ewc_LRP.cpython-36.pyc │ │ │ ├── mlp_ewc_LRP_oo.cpython-36.pyc │ │ │ ├── mlp_hat.cpython-36.pyc │ │ │ ├── mlp_oo.cpython-36.pyc │ │ │ ├── mlp_ucl.cpython-36.pyc │ │ │ ├── module.cpython-36.pyc │ │ │ ├── pool.cpython-36.pyc │ │ │ └── relu.cpython-36.pyc │ │ ├── conv_net.py │ │ ├── conv_net_hat.py │ │ ├── conv_net_omniglot.py │ │ ├── conv_net_omniglot_hat.py │ │ ├── conv_net_omniglot_ucl.py │ │ ├── conv_net_ucl.py │ │ ├── kim_net_ucl.py │ │ ├── mlp.py │ │ ├── mlp_hat.py │ │ └── mlp_ucl.py │ ├── result_data │ │ └── sample.txt │ └── utils.py ├── hyper │ ├── .gitignore │ ├── CONTRIBUTING.md │ ├── LICENSE │ ├── Notworking │ │ ├── .gitignore │ │ ├── CONTRIBUTING.md │ │ ├── HYPER-no1hot │ │ │ ├── Notworking │ │ │ │ ├── .gitignore │ │ │ │ ├── CONTRIBUTING.md │ │ │ │ ├── LICENSE │ │ │ │ ├── README.md │ │ │ │ ├── __init__.py │ │ │ │ ├── docs │ │ │ │ │ ├── .gitignore │ │ │ │ │ ├── Makefile │ │ │ │ │ ├── README.md │ │ │ │ │ ├── make.bat │ │ │ │ │ └── source │ │ │ │ │ │ ├── cifar.rst │ │ │ │ │ │ ├── conf.py │ │ │ │ │ │ ├── data.rst │ │ │ │ │ │ ├── index.rst │ │ │ │ │ │ ├── mnets.rst │ │ │ │ │ │ ├── mnist.rst │ │ │ │ │ │ ├── special.rst │ │ │ │ │ │ ├── toy_example.rst │ │ │ │ │ │ └── utils.rst │ │ │ │ ├── tests │ │ │ │ │ ├── README.md │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── test_toy_example │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ └── test_train.py │ │ │ │ │ └── test_utils.py │ │ │ │ └── toy_example │ │ │ │ │ ├── .gitignore │ │ │ │ │ ├── README.md │ │ │ │ │ ├── TODO.md │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── gaussian_mixture_data.py │ │ │ │ │ ├── hyper_model.py │ │ │ │ │ ├── main_model.py │ │ │ │ │ ├── regression1d_data.py │ │ │ │ │ ├── task_recognition_model.py │ │ │ │ │ ├── train.py │ │ │ │ │ ├── train_ewc.py │ │ │ │ │ ├── train_multitask.py │ │ │ │ │ └── train_utils.py │ │ │ ├── data │ │ │ │ ├── Noeworking │ │ │ │ │ └── my_cifar100_data.py │ │ │ │ ├── README.rst │ │ │ │ ├── __init__.py │ │ │ │ ├── celeba_data.py │ │ │ │ ├── cifar100_data.py │ │ │ │ ├── cifar10_data.py │ │ │ │ ├── cub_200_2011_data.py │ │ │ │ ├── dataset.py │ │ │ │ ├── ilsvrc2012_data.py │ │ │ │ ├── large_img_dataset.py │ │ │ │ ├── mixceleba.py │ │ │ │ ├── mixemnist.py │ │ │ │ ├── mnist_data.py │ │ │ │ └── special │ │ │ │ │ ├── Notworking │ │ │ │ │ ├── my_split_cifar.py │ │ │ │ │ ├── my_split_mnist.py │ │ │ │ │ ├── permuted_mnist.py │ │ │ │ │ ├── split_cifar.py │ │ │ │ │ └── split_mnist.py │ │ │ │ │ ├── README.rst │ │ │ │ │ ├── gaussian_mixture_data.py │ │ │ │ │ ├── regression1d_data.py │ │ │ │ │ └── split_mlp.py │ │ │ ├── mlp │ │ │ │ ├── .gitignore │ │ │ │ ├── Notworking │ │ │ │ │ ├── my_train_utils.py │ │ │ │ │ └── train_zenke.py │ │ │ │ ├── README.rst │ │ │ │ ├── __init__.py │ │ │ │ ├── sa_hyper_model.py │ │ │ │ ├── train.py │ │ │ │ ├── train_args.py │ │ │ │ ├── train_mlp.py │ │ │ │ └── train_utils.py │ │ │ ├── mlpreplay │ │ │ │ ├── Notworking │ │ │ │ │ ├── hp_search_permutedMNIST.py │ │ │ │ │ └── train_permutedMNIST.py │ │ │ │ ├── README.rst │ │ │ │ ├── __init__.py │ │ │ │ ├── chunked_hyper_model.py │ │ │ │ ├── hp_search_splitMNIST.py │ │ │ │ ├── hpsearch.py │ │ │ │ ├── plotting.py │ │ │ │ ├── replay │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── train_args_replay.py │ │ │ │ │ ├── train_gan.py │ │ │ │ │ ├── train_replay.py │ │ │ │ │ └── train_utils_replay.py │ │ │ │ ├── train_args.py │ │ │ │ ├── train_args_default.py │ │ │ │ ├── train_splitMNIST.py │ │ │ │ └── train_utils.py │ │ │ ├── mnets │ │ │ │ ├── Notworking │ │ │ │ │ ├── resnet.py │ │ │ │ │ └── zenkenet.py │ │ │ │ ├── TODO.md │ │ │ │ ├── classifier_interface.py │ │ │ │ ├── mlp.py │ │ │ │ └── mnet_interface.py │ │ │ └── utils │ │ │ │ ├── __init__.py │ │ │ │ ├── batchnorm_layer.py │ │ │ │ ├── cli_args.py │ │ │ │ ├── context_mod_layer.py │ │ │ │ ├── ewc_regularizer.py │ │ │ │ ├── gan_helpers.py │ │ │ │ ├── hnet_regularizer.py │ │ │ │ ├── init_utils.py │ │ │ │ ├── logger_config.py │ │ │ │ ├── misc.py │ │ │ │ ├── module_wrappers.py │ │ │ │ ├── optim_step.py │ │ │ │ ├── self_attention_layer.py │ │ │ │ ├── sim_utils.py │ │ │ │ ├── torch_ckpts.py │ │ │ │ └── torch_utils.py │ │ ├── LICENSE │ │ ├── README.md │ │ ├── __init__.py │ │ ├── docs │ │ │ ├── .gitignore │ │ │ ├── Makefile │ │ │ ├── README.md │ │ │ ├── make.bat │ │ │ └── source │ │ │ │ ├── cifar.rst │ │ │ │ ├── conf.py │ │ │ │ ├── data.rst │ │ │ │ ├── index.rst │ │ │ │ ├── mnets.rst │ │ │ │ ├── mnist.rst │ │ │ │ ├── special.rst │ │ │ │ ├── toy_example.rst │ │ │ │ └── utils.rst │ │ ├── tests │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── test_toy_example │ │ │ │ ├── __init__.py │ │ │ │ └── test_train.py │ │ │ └── test_utils.py │ │ └── toy_example │ │ │ ├── .gitignore │ │ │ ├── README.md │ │ │ ├── TODO.md │ │ │ ├── __init__.py │ │ │ ├── gaussian_mixture_data.py │ │ │ ├── hyper_model.py │ │ │ ├── main_model.py │ │ │ ├── regression1d_data.py │ │ │ ├── task_recognition_model.py │ │ │ ├── train.py │ │ │ ├── train_ewc.py │ │ │ ├── train_multitask.py │ │ │ └── train_utils.py │ ├── README.md │ ├── __init__.py │ ├── cifar │ │ ├── .gitignore │ │ ├── Notworking │ │ │ └── my_train_utils.py │ │ ├── README.rst │ │ ├── __init__.py │ │ ├── my_train_utils.py │ │ ├── sa_hyper_model.py │ │ ├── train.py │ │ ├── train_args.py │ │ ├── train_resnet.py │ │ ├── train_utils.py │ │ └── train_zenke.py │ ├── data │ │ ├── Noeworking │ │ │ └── my_cifar100_data.py │ │ ├── README.rst │ │ ├── __init__.py │ │ ├── celeba_data.py │ │ ├── cifar100_data.py │ │ ├── cifar10_data.py │ │ ├── cub_200_2011_data.py │ │ ├── dataset.py │ │ ├── ilsvrc2012_data.py │ │ ├── large_img_dataset.py │ │ ├── mixceleba.py │ │ ├── mixemnist.py │ │ ├── mnist_data.py │ │ ├── my_cifar100_data.py │ │ └── special │ │ │ ├── Notworking │ │ │ ├── my_split_cifar.py │ │ │ ├── my_split_mnist.py │ │ │ ├── permuted_mnist.py │ │ │ ├── split_cifar.py │ │ │ └── split_mnist.py │ │ │ ├── README.rst │ │ │ ├── gaussian_mixture_data.py │ │ │ ├── my_split_cifar.py │ │ │ ├── my_split_mnist.py │ │ │ ├── permuted_mnist.py │ │ │ ├── regression1d_data.py │ │ │ ├── split_cifar.py │ │ │ ├── split_mlp.py │ │ │ └── split_mnist.py │ ├── docs │ │ ├── .gitignore │ │ ├── Makefile │ │ ├── README.md │ │ ├── make.bat │ │ └── source │ │ │ ├── cifar.rst │ │ │ ├── conf.py │ │ │ ├── data.rst │ │ │ ├── index.rst │ │ │ ├── mnets.rst │ │ │ ├── mnist.rst │ │ │ ├── special.rst │ │ │ ├── toy_example.rst │ │ │ └── utils.rst │ ├── mlp │ │ ├── .gitignore │ │ ├── Notworking │ │ │ ├── my_train_utils.py │ │ │ └── train_zenke.py │ │ ├── README.rst │ │ ├── __init__.py │ │ ├── sa_hyper_model.py │ │ ├── train.py │ │ ├── train_args.py │ │ ├── train_mlp.py │ │ └── train_utils.py │ ├── mlpreplay │ │ ├── Notworking │ │ │ ├── hp_search_permutedMNIST.py │ │ │ └── train_permutedMNIST.py │ │ ├── README.rst │ │ ├── __init__.py │ │ ├── chunked_hyper_model.py │ │ ├── hp_search_splitMNIST.py │ │ ├── hpsearch.py │ │ ├── plotting.py │ │ ├── replay │ │ │ ├── __init__.py │ │ │ ├── train_args_replay.py │ │ │ ├── train_gan.py │ │ │ ├── train_replay.py │ │ │ └── train_utils_replay.py │ │ ├── train_args.py │ │ ├── train_args_default.py │ │ ├── train_mlpreplay.py │ │ ├── train_splitMNIST.py │ │ └── train_utils.py │ ├── mnets │ │ ├── Notworking │ │ │ ├── resnet.py │ │ │ └── zenkenet.py │ │ ├── TODO.md │ │ ├── classifier_interface.py │ │ ├── mlp.py │ │ ├── mnet_interface.py │ │ ├── resnet.py │ │ └── zenkenet.py │ ├── mnist │ │ ├── README.rst │ │ ├── __init__.py │ │ ├── chunked_hyper_model.py │ │ ├── hp_search_permutedMNIST.py │ │ ├── hp_search_splitMNIST.py │ │ ├── hpsearch.py │ │ ├── plotting.py │ │ ├── replay │ │ │ ├── __init__.py │ │ │ ├── train_args_replay.py │ │ │ ├── train_gan.py │ │ │ ├── train_replay.py │ │ │ └── train_utils_replay.py │ │ ├── train_args.py │ │ ├── train_args_default.py │ │ ├── train_permutedMNIST.py │ │ ├── train_splitMNIST.py │ │ └── train_utils.py │ ├── tests │ │ ├── README.md │ │ ├── __init__.py │ │ ├── test_toy_example │ │ │ ├── __init__.py │ │ │ └── test_train.py │ │ └── test_utils.py │ ├── toy_example │ │ ├── .gitignore │ │ ├── README.md │ │ ├── TODO.md │ │ ├── __init__.py │ │ ├── gaussian_mixture_data.py │ │ ├── hyper_model.py │ │ ├── main_model.py │ │ ├── regression1d_data.py │ │ ├── task_recognition_model.py │ │ ├── train.py │ │ ├── train_ewc.py │ │ ├── train_multitask.py │ │ └── train_utils.py │ └── utils │ │ ├── __init__.py │ │ ├── batchnorm_layer.py │ │ ├── cli_args.py │ │ ├── context_mod_layer.py │ │ ├── ewc_regularizer.py │ │ ├── gan_helpers.py │ │ ├── hnet_regularizer.py │ │ ├── init_utils.py │ │ ├── logger_config.py │ │ ├── misc.py │ │ ├── module_wrappers.py │ │ ├── optim_step.py │ │ ├── self_attention_layer.py │ │ ├── sim_utils.py │ │ ├── torch_ckpts.py │ │ └── torch_utils.py └── rpsnet │ ├── .DS_Store │ ├── .gitignore │ ├── CIFAR100.sh │ ├── MNIST.sh │ ├── README.md │ ├── RunMixKan.py │ ├── approaches │ ├── MixKan.py │ ├── MixTaskTransferKan.py │ ├── MixTruthKan.py │ ├── __init__.py │ ├── adam.py │ ├── ewc.py │ ├── hat.py │ ├── hat_test.py │ ├── imm_mean.py │ ├── imm_mode.py │ ├── joint.py │ ├── kan.py │ ├── lfl.py │ ├── lwf.py │ ├── mcl.py │ ├── pathnet.py │ ├── progressive.py │ ├── random.py │ ├── sgd.py │ ├── sgd_frozen.py │ └── sgd_restart.py │ ├── cifar.py │ ├── cifar_dataset.py │ ├── config.py │ ├── dataloaders │ ├── __init__.py │ ├── celeba.py │ ├── cifar.py │ ├── cifar10.py │ ├── cifar100.py │ ├── emnist.py │ ├── femnist.py │ ├── json │ │ ├── celeba │ │ │ └── jsonc.py │ │ └── femnist │ │ │ ├── LoadallJsonc.py │ │ │ └── jsonc.py │ ├── landmine.py │ ├── mixceleba.py │ ├── mixemnist.py │ ├── mixemnistceleba.py │ ├── mixture.py │ ├── mnist.py │ ├── mnist2.py │ ├── pmnist.py │ ├── sentiment.py │ └── street.py │ ├── iCaRL │ ├── cifar_dataset.py │ ├── iCaRL.py │ ├── iCaRL.sh │ ├── learner.py │ ├── prepare │ │ ├── cifar100_10.pkl │ │ ├── generate_ILSVRC_labels.py │ │ ├── generate_cifar100_labels.py │ │ └── meta_CIFAR100.pkl │ ├── rps_net.py │ ├── util.py │ └── utils │ │ ├── __init__.py │ │ ├── eval.py │ │ ├── logger.py │ │ ├── misc.py │ │ ├── progress │ │ ├── .gitignore │ │ ├── LICENSE │ │ ├── MANIFEST.in │ │ ├── README.rst │ │ ├── demo.gif │ │ ├── progress │ │ │ ├── __init__.py │ │ │ ├── bar.py │ │ │ ├── counter.py │ │ │ ├── helpers.py │ │ │ └── spinner.py │ │ ├── setup.py │ │ └── test_progress.py │ │ └── visualize.py │ ├── imagenet.py │ ├── learner.py │ ├── mixceleba_random_20 │ ├── mixceleba_random_30 │ ├── mixemnist_random_20 │ ├── mixemnist_random_30 │ ├── mixemnist_random_30_old │ ├── mnist.py │ ├── networks │ ├── AlexnetKan.py │ ├── AlexnetMcl.py │ ├── AlexnetMixMaskKan.py │ ├── AlexnetMixTaskKan.py │ ├── KimnetKan - Copy.py │ ├── KimnetKan.py │ ├── MlpAutoKan.py │ ├── MlpKan - Copy.py │ ├── MlpKan.py │ ├── MlpMcl.py │ ├── MlpMixTaskKan.py │ ├── RunMixKan.py │ ├── __init__.py │ ├── alexnet.py │ ├── alexnet_hat.py │ ├── alexnet_hat_test.py │ ├── alexnet_lfl.py │ ├── alexnet_pathnet.py │ ├── alexnet_progressive.py │ ├── kimnet.py │ ├── kimnet_hat.py │ ├── mlp.py │ ├── mlp_hat.py │ ├── mlp_progressive.py │ └── transformer │ │ ├── Constants.py │ │ ├── Layers.py │ │ ├── Models.py │ │ ├── Modules.py │ │ ├── Optim.py │ │ ├── SubLayers.py │ │ ├── Translator.py │ │ ├── __init__.py │ │ └── train.py │ ├── plot.ipynb │ ├── prepare │ ├── cifar100_10.pkl │ ├── generate_ILSVRC_labels.py │ ├── generate_cifar100_labels.py │ └── meta_CIFAR100.pkl │ ├── rps_net.py │ ├── run_rps_in_our_framework.py │ ├── util.py │ ├── utils.py │ └── utils │ ├── 10.png │ ├── 20.png │ ├── 50.png │ ├── __init__.py │ ├── eval.py │ ├── imagenet_100.png │ ├── logger.py │ ├── misc.py │ ├── path.png │ ├── progress │ ├── .gitignore │ ├── LICENSE │ ├── MANIFEST.in │ ├── README.rst │ ├── demo.gif │ ├── progress │ │ ├── __init__.py │ │ ├── bar.py │ │ ├── counter.py │ │ ├── helpers.py │ │ └── spinner.py │ ├── setup.py │ └── test_progress.py │ ├── rpsnet.png │ └── visualize.py ├── run.py ├── run_cat.py ├── run_compression.sh ├── run_mtcl.py ├── run_multi.py ├── run_time.py ├── run_train_mixceleba_mlp_10_10_ncl.sh ├── 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