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2005.11603
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Geometric algorithms for predicting resilience and recovering damage in neural networks
23 May 2020
G. Raghavan
Jiayi Li
Matt Thomson
AAML
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Papers citing
"Geometric algorithms for predicting resilience and recovering damage in neural networks"
3 / 3 papers shown
Title
On the importance of single directions for generalization
Ari S. Morcos
David Barrett
Neil C. Rabinowitz
M. Botvinick
64
333
0
19 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
221
3,457
0
09 Mar 2018
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
304
6,660
0
08 Jun 2015
1