Reparameterization through Spatial Gradient Scaling Official implementation of "Reparameterization through Spatial Gradient Scaling". CIFAR-100 VGG-11 CUDA_VISIBLE_DEVICES=0 python tools/train.py -c configs/strategies/SGS/wei_cifar.yaml --model wei_vgg11_bn --dataset cifar100 --experiment cifar100_wei_vgg11_bn_nmi5 --sgs --data-path ~/datasets/CIFAR --dist-port 29500 Model Baseline Paper This Repo VGG-11 70.8±0.1 73.2±0.1 73.4±0.1 VGG-16 74.9±0.1 76.2±0.1 76.7±0.1 ResNet-18 77.8±0.1 78.8±0.1 78.6±0.1 Model Baseline (GPUs hours) Ours (GPUs hours) VGG-11 0.62 0.65 VGG-16 0.83 0.89 ResNet-18 1.02 1.15 ImageNet bash tools/dist_train.sh 8 configs/strategies/SGS/resnet.yaml resnet18 --experiment imagenet_res18_sgs --sgs --data-path ~/datasets/ImageNet --dist-port 29500 Model Baseline Paper This Repo ResNet-18 71.13±0.04 71.65±0.05 71.62
