The Difficulty of Training Sparse Neural Networks

25 Jun 2019Utku EvciFabian PedregosaAidan GomezErich Elsen

We investigate the difficulties of training sparse neural networks and make new observations about optimization dynamics and the energy landscape within the sparse regime. Recent work of \citep{Gale2019, Liu2018} has shown that sparse ResNet-50 architectures trained on ImageNet-2012 dataset converge to solutions that are significantly worse than those found by pruning... (read more)

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