85 citations · 182 across the 17 of their papers we have counts for
3 papers · 1 filter
Score-Based Generative Classifiers
Roland S. Zimmermann, Lukas Schott, Yang Song +2
The tremendous success of generative models in recent years raises the question whether they can also be used to perform classification. Generative models have been used as adversa…
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
Roland S. Zimmermann, Judy Borowski, Robert Geirhos +3
A precise understanding of why units in an artificial network respond to certain stimuli would constitute a big step towards explainable artificial intelligence. One widely used ap…
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann, Yash Sharma, Steffen Schneider +2
Contrastive learning has recently seen tremendous success in self-supervised learning. So far, however, it is largely unclear why the learned representations generalize so effectiv…