Regularizing CNNs with Locally Constrained Decorrelations

7 Nov 2016Pau RodríguezJordi GonzàlezGuillem CucurullJosep M. GonfausXavier Roca

Regularization is key for deep learning since it allows training more complex models while keeping lower levels of overfitting. However, the most prevalent regularizations do not leverage all the capacity of the models since they rely on reducing the effective number of parameters... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper