[{"title":"( 30 个子文件 3.68MB ) Pruning-Filter-in-Filter:筛选器中的修剪筛选器(NeurIPS2020)","children":[{"title":"Pruning-Filter-in-Filter-master","children":[{"title":"models","children":[{"title":"resnet56.py <span style='color:#111;'> 2.83KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 65B </span>","children":null,"spread":false},{"title":"stripe.py <span style='color:#111;'> 4.71KB </span>","children":null,"spread":false},{"title":"vgg.py <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false}],"spread":true},{"title":"main.py <span style='color:#111;'> 5.72KB </span>","children":null,"spread":false},{"title":"BrokenNet_filter.png <span style='color:#111;'> 153.71KB </span>","children":null,"spread":false},{"title":"xxx-wise.pptx <span style='color:#111;'> 120.99KB </span>","children":null,"spread":false},{"title":"filter skeleton.pptx <span style='color:#111;'> 62.37KB </span>","children":null,"spread":false},{"title":"flops.py <span style='color:#111;'> 3.24KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 6.34KB </span>","children":null,"spread":false},{"title":"fig","children":[{"title":"BrokenNet_filter.png <span style='color:#111;'> 153.71KB </span>","children":null,"spread":false},{"title":"prune_every_layer_by_l1_norm.png <span style='color:#111;'> 565.15KB </span>","children":null,"spread":false},{"title":"quantization_hori.png <span style='color:#111;'> 134.96KB </span>","children":null,"spread":false},{"title":"im2row-crop.png <span style='color:#111;'> 1.44MB </span>","children":null,"spread":false},{"title":"groupSparse.png <span style='color:#111;'> 223.84KB </span>","children":null,"spread":false},{"title":"network_simple.png <span style='color:#111;'> 136.20KB </span>","children":null,"spread":false},{"title":"demo3.png <span style='color:#111;'> 219.42KB </span>","children":null,"spread":false},{"title":"Unrolling the convolution.png <span style='color:#111;'> 351.01KB </span>","children":null,"spread":false},{"title":"shortcut.png <span style='color:#111;'> 139.45KB </span>","children":null,"spread":false},{"title":"greedy.png <span style='color:#111;'> 33.72KB </span>","children":null,"spread":false},{"title":"ill.png <span style='color:#111;'> 98.55KB </span>","children":null,"spread":false},{"title":"theory.png <span style='color:#111;'> 129.09KB </span>","children":null,"spread":false},{"title":"figure_pipeline.png <span style='color:#111;'> 125.12KB </span>","children":null,"spread":false},{"title":"jump.png <span style='color:#111;'> 77.48KB </span>","children":null,"spread":false},{"title":"group_gbn.png <span style='color:#111;'> 111.07KB </span>","children":null,"spread":false},{"title":"Runtime Neural Pruning.png <span style='color:#111;'> 203.82KB </span>","children":null,"spread":false},{"title":"pruning1.png <span style='color:#111;'> 66.20KB </span>","children":null,"spread":false},{"title":"1a2.png <span style='color:#111;'> 98.69KB </span>","children":null,"spread":false},{"title":"Inbound.png <span style='color:#111;'> 139.18KB </span>","children":null,"spread":false}],"spread":false},{"title":"stripe-wise-pruning.pptx <span style='color:#111;'> 84.25KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]