Similarity of Neural Network Representations Revisited

ICML 2019 Simon KornblithMohammad NorouziHonglak LeeGeoffrey Hinton

Recent work has sought to understand the behavior of neural networks by comparing representations between layers and between different trained models. We examine methods for comparing neural network representations based on canonical correlation analysis (CCA)... (read more)

PDF Abstract

Evaluation Results from the Paper


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