Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection

Ye Mao
Ye Mao
Gong Chengyue
Gong Chengyue
Nie Lizhen
Nie Lizhen

ICML, pp. 10820-10830, 2020.

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Abstract:

Recent empirical works show that large deep neural networks are often highly redundant and one can find much smaller subnetworks without a significant drop of accuracy. However, most existing methods of network pruning are empirical and heuristic, leaving it open whether good subnetworks provably exist, how to find them efficiently, and...More

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