Class-wise Autoencoders Measure Classification Difficulty And Detect Label Mistakes

Jacob Marks, Brent A. Griffin, Jason J. Corso

We introduce a new framework for analyzing classification datasets based on the ratios of reconstruction errors between autoencoders trained on individual classes. This analysis fr…