The Lottery Ticket Hypothesis: Training Pruned Neural Networks

the lottery ticket hypothesis
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The stabilized lot- tery ticket hypothesis states that networks can be pruned after none or few training iterations, using a mask computed based on the unpruned

This work proposes to use a pruning strategy and recently proposed Lottery Ticket Hypothesis as an efficient method to tune deep neural The source code for the paper is available on Lottery Ticket Hypothesis There is also an interesting paper from ICLR 2019 on the same subject -

when did the uk national lottery start The Lottery ticket hypothesis When training very large neural networks, the obtained net might have a lot of unused neurons It is possible, Abstract:The Lottery Ticket Hypothesis states that a dense neural network model contains a highly sparse subnetwork ( ,