├── 1_execute_MLP_svhn.sh ├── 1_execute_MLP_svhn_adam.sh ├── 2_execute_Conv_CIFAR10_vggA.sh ├── 3_execute_Conv_CIFAR100_GoogLeNet.sh ├── 4_execute_Conv_CIFAR10_resnet.sh ├── LICENSE ├── README.md ├── augmentation.lua ├── dataset └── preProcess_div256.lua ├── exp_GoogleNet_dataWhitening.lua ├── exp_MLP.lua ├── exp_res_dataNorm.lua ├── exp_vggA.lua ├── models ├── MLP │ └── model_WN.lua ├── googlenetbn.lua ├── googlenetbn_CWN_NS.lua ├── googlenetbn_WN_NS.lua ├── imagenet │ ├── googlenetbn.lua │ └── googlenetbn_WCBN_NS.lua ├── old_r_BN.lua ├── old_r_CWN_BN_NS.lua ├── old_r_WN_BN.lua ├── vggA_CWN.lua ├── vggA_WN.lua └── vggA_plain.lua ├── module ├── Affine_module.lua ├── BatchLinear_FIM.lua ├── Linear_ForDebug.lua ├── Linear_Weight_BN_Row.lua ├── Linear_Weight_CenteredBN_Row.lua ├── NormLinear_new.lua ├── WeightNorm_Center.lua └── spatial │ ├── Spatial_Scaling.lua │ ├── cudnn_Spatial_Weight_BN.lua │ └── cudnn_Spatial_Weight_CenteredBN.lua ├── module_pytorch └── CWN.py └── provider.lua 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