#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's tweet image. 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

sarahookr's tweet image. 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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