5 citations · 7 across the 2 of their papers we have counts for
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cs.LG2019★ 5 cited
On Geometric Structure of Activation Spaces in Neural Networks
Yuting Jia, Haiwen Wang, Shuo Shao +3
In this paper, we investigate the geometric structure of activation spaces of fully connected layers in neural networks and then show applications of this study. We propose an effi…
cs.LG2018
Curvature-based Comparison of Two Neural Networks
Tao Yu, Huan Long, John E. Hopcroft
In this paper we show the similarities and differences of two deep neural networks by comparing the manifolds composed of activation vectors in each fully connected layer of them.…