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Proving the Lottery Ticket Hypothesis: Pruning is All You Need

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Daniel Roy: Cool result, though the level of overparametrization seems too large to explain the empirical LTH phenomenon. https://arxiv.org/abs/2002.00585 https://t.co/SIntk7tcIx

3 replies, 130 likes


Statistics Papers: Proving the Lottery Ticket Hypothesis: Pruning is All You Need. http://arxiv.org/abs/2002.00585

0 replies, 24 likes


Hacker News: Proving the Lottery Ticket Hypothesis: Pruning is All You Need https://arxiv.org/abs/2002.00585

0 replies, 15 likes


Daisuke Okanohara: Over parametrized NN with random weights contains a subnetwork that can approximate any target network (half depth) behavior arbitrarily well, stronger statement than the lottery ticket hypothesis. We can train NN just by pruning w/o weight tuning. https://arxiv.org/abs/2002.00585

0 replies, 13 likes


Content

Found on Feb 05 2020 at https://arxiv.org/pdf/2002.00585.pdf

PDF content of a computer science paper: Proving the Lottery Ticket Hypothesis: Pruning is All You Need