4 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 3 cited
Feature Space Saturation during Training
Mats L. Richter, Justin Shenk, Wolf Byttner +2
We propose layer saturation - a simple, online-computable method for analyzing the information processing in neural networks. First, we show that a layer's output can be restricted…
cs.LG2019★ 4 cited
Spectral Analysis of Latent Representations
Justin Shenk, Mats L. Richter, Anders Arpteg +1
We propose a metric, Layer Saturation, defined as the proportion of the number of eigenvalues needed to explain 99% of the variance of the latent representations, for analyzing the…