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clusterability_in_neural_networks
共636个文件
png:529个
ipynb:46个
py:30个
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2021-03-10
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神经网络中的集群性 arXiv提交的代码“神经网络中的可聚性”。 还包含我们所做的其他工作。 Daniel Filan,Stephen Casper,Shlomi Hod和Cody Wild编写的代码。 结果 病变测试: , , , 学习曲线 指示 我们将make与Makefile来使项目自动化。 命令的非详尽列表: make datasets -建立所有数据集(确定性), make models -训练所有MLP和CNN的NN模型。 make test -运行测试(使用pytest )。 make mlp-clustering运行对所有MLP模型(包括替代说明模型) notebooks/mlp-clustering.ipynb的Notebook notebooks/mlp-clustering.ipynb ,并将结果作为表格保存到results/mlp-clusteri
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clusterability_in_neural_networks (636个子文件)
clustering_factors_imagenet.csv 541KB
clustering_factors_imagenet2.csv 541KB
clustering_factors_mlp.csv 35KB
clustering_factors_cnn.csv 32KB
clustering_factors_cnn_vgg.csv 13KB
mlp-ncut-cohens-d-k12-n50.csv 11KB
clustering_factors_clust_grad.csv 10KB
mlp-clustering-stability-two-shuffling-methods-all-samples-k12-n50.csv 6KB
lesion_results_cnn_vgg.csv 5KB
lucid_results_all.csv 5KB
lesion_results_mlp.csv 2KB
mlp-clustering-stability-two-shuffling-methods-statistics-k12-n50.csv 2KB
lesion_results_cnn.csv 1KB
lesion_results_imagenet.csv 365B
Dockerfile 2KB
lucid_make_dataset_imagenet.ipynb 37.04MB
lucid_make_dataset_cnn_vgg.ipynb 14.8MB
mlp-clustering.ipynb 14.46MB
lucid_make_dataset_mlp.ipynb 11.75MB
cluster_vis_corr.ipynb 9.88MB
lucid_make_dataset_cnn.ipynb 8.06MB
mlp-lesion-test.ipynb 6.31MB
combined_factors.ipynb 4.57MB
l1reg_clustering.ipynb 4.45MB
polynomial.ipynb 3.89MB
imagenet_clustering.ipynb 3.26MB
mlp-lesion-test-TEN.ipynb 3.07MB
mlp-double-lesion-test-stability-experimenting-plots.ipynb 1.91MB
plotting_main.ipynb 1.6MB
cifar10_cnn.ipynb 679KB
mlp-learning-curve.ipynb 664KB
mlp-plots.ipynb 505KB
visualize_datasets.ipynb 294KB
mlp-clustering-stability-different-n_clusters-K=7.ipynb 260KB
mlp-clustering-stability-different-n_clusters-K=10.ipynb 260KB
mlp-clustering-stability-different-n_clusters-K=2.ipynb 260KB
imagenet_clustering_info.ipynb 230KB
cnn-clustering.ipynb 203KB
random_init_ncuts.ipynb 144KB
mlp-clustering-stability.ipynb 128KB
clustering_factors_imagenet.ipynb 67KB
clustering_factors_mlp.ipynb 63KB
datasets.ipynb 50KB
clustering_factors_clust_grad.ipynb 43KB
lucid_results_all.ipynb 38KB
mlp-double-lesion-test-stability.ipynb 32KB
mlp-double-lesion-test.ipynb 31KB
cnn_activations.ipynb 30KB
lesion_results_cnn_vgg.ipynb 26KB
activations_tables.ipynb 26KB
mlp-clustering-stability-different-n_clusters.ipynb 20KB
mlp_activations.ipynb 20KB
lesion_results_imagenet.ipynb 19KB
lesion_results_mlp.ipynb 16KB
lucid_evaluation.ipynb 14KB
lesion_results_cnn.ipynb 13KB
clustering_factors_cnn_vgg.ipynb 12KB
imagenet_lucid_evaluation.ipynb 8KB
clustering_factors_cnn.ipynb 7KB
cnn-lesion-test.ipynb 7KB
get_lesion_importance_results.ipynb 5KB
Pipfile.lock 105KB
Makefile 7KB
README.md 6KB
mlp-shuffle-methods-all-instances-k12-n50.pickle 56KB
mlp-shuffle-methods-k12-n50.pickle 11KB
Pipfile 991B
lesion_importance_results.pkl 1.62MB
random_init_data.pkl 5KB
resnet50_layerstage1_unit3_conv3_layersize256_size192_random.png 1.29MB
resnet50_layerstage1_unit3_conv3_layersize256_size60_random.png 1.29MB
resnet50_layerstage1_unit3_conv3_layersize256_size4_random.png 1.29MB
resnet50_layerstage1_unit2_conv3_layersize256_size39_random.png 1.27MB
resnet50_layerstage1_unit2_conv3_layersize256_size36_random.png 1.27MB
resnet50_layerstage2_unit2_conv3_layersize512_size26_random.png 1.27MB
resnet50_layerstage1_unit1_sc_layersize256_size58_random.png 1.26MB
resnet50_layerstage1_unit1_sc_layersize256_size150_random.png 1.26MB
resnet50_layerstage1_unit2_conv3_layersize256_size179_random.png 1.26MB
resnet50_layerstage1_unit1_sc_layersize256_size8_random.png 1.25MB
resnet50_layerstage1_unit1_sc_layersize256_size23_random.png 1.25MB
resnet50_layerstage1_unit1_sc_layersize256_size17_random.png 1.23MB
vgg19_layerblock3_conv1_layersize256_size5_random.png 1.16MB
vgg16_layerblock3_conv2_layersize256_size66_random.png 1.15MB
vgg19_layerblock3_conv2_layersize256_size9_random.png 1.15MB
vgg16_layerblock3_conv2_layersize256_size165_random.png 1.14MB
vgg16_layerblock3_conv2_layersize256_size24_random.png 1.14MB
vgg19_layerblock3_conv1_layersize256_size6_random.png 1.13MB
vgg19_layerblock3_conv1_layersize256_size28_random.png 1.11MB
vgg16_layerblock3_conv1_layersize256_size34_random.png 1.1MB
vgg19_layerblock2_conv2_layersize128_size6_random.png 1.08MB
vgg19_layerblock2_conv2_layersize128_size16_random.png 1.08MB
vgg16_layerblock3_conv1_layersize256_size144_random.png 1.07MB
vgg16_layerblock3_conv1_layersize256_size76_random.png 1.07MB
vgg19_layerblock2_conv2_layersize128_size14_random.png 1.06MB
vgg19_layerblock2_conv2_layersize128_size20_random.png 1.06MB
vgg16_layerblock2_conv2_layersize128_size10_random.png 1.06MB
vgg19_layerblock2_conv2_layersize128_size24_random.png 1.05MB
vgg16_layerblock2_conv2_layersize128_size17_random.png 1.04MB
vgg16_layerblock2_conv2_layersize128_size13_random.png 1.04MB
vgg19_layerblock2_conv2_layersize128_size48_random.png 1.04MB
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