A post-training fusion of gradient, Taylor, and KL-divergence importance scores with an exponential discrepancy term, tested on CIFAR-10 with VGG-16 and AlexNet.
Methods for pruning deep neural networks,
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Dynamic Sensitivity Filter Pruning using Multi-Agent Reinforcement Learning For DCNN's
A post-training fusion of gradient, Taylor, and KL-divergence importance scores with an exponential discrepancy term, tested on CIFAR-10 with VGG-16 and AlexNet.