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pro vyhledávání: '"Good, Aidan"'
Autor:
Cai, Junyang, Nguyen, Khai-Nguyen, Shrestha, Nishant, Good, Aidan, Tu, Ruisen, Yu, Xin, Zhe, Shandian, Serra, Thiago
One surprising trait of neural networks is the extent to which their connections can be pruned with little to no effect on accuracy. But when we cross a critical level of parameter sparsity, pruning any further leads to a sudden drop in accuracy. Thi
Externí odkaz:
http://arxiv.org/abs/2301.07966
Autor:
Good, Aidan, Lin, Jiaqi, Sieg, Hannah, Ferguson, Mikey, Yu, Xin, Zhe, Shandian, Wieczorek, Jerzy, Serra, Thiago
Pruning techniques have been successfully used in neural networks to trade accuracy for sparsity. However, the impact of network pruning is not uniform: prior work has shown that the recall for underrepresented classes in a dataset may be more negati
Externí odkaz:
http://arxiv.org/abs/2206.02976