#samecapacitysparse search results
@sarahookr, @KaliTessera, and Benjamin Rosman take a broader view of training #sparsnetworks and consider the role of regularization, optimization, and architecture choices on #sparsemodels. They propose a simple experimental framework, #SameCapacitySparse vs #DenseComparison.
Tomorrow at @ml_collective DLTC reading group, @KaliTessera will be presenting our work on how initialization is only one piece of the puzzle for training sparse networks. Can taking a wider view of model design choices unlock sparse training? bit.ly/3xFtHKI
@sarahookr, @KaliTessera, and Benjamin Rosman take a broader view of training #sparsnetworks and consider the role of regularization, optimization, and architecture choices on #sparsemodels. They propose a simple experimental framework, #SameCapacitySparse vs #DenseComparison.
Tomorrow at @ml_collective DLTC reading group, @KaliTessera will be presenting our work on how initialization is only one piece of the puzzle for training sparse networks. Can taking a wider view of model design choices unlock sparse training? bit.ly/3xFtHKI
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