Code, tutorials, and other resources produced by the lab are available here.

Controversial Stimuli

This is a PyTorch tutorial on optimizing controversial stimuli for ImageNet classifiers, which demonstrates the method introduced in Golan, Raju, and Kriegeskorte (2020).

[Code on Github]


Ecoset is a collection of over 1.5 million images from 565 basic-level categories selected to better capture the distribution of objects relevant to humans, and provides an alternative to ILSVRC 2012 that is openly available for research purposes. It was introduced in Mehrer et al (2021) and developed in collaboration with the laboratory of Tim Kietzmann (corresponding author).

[Code/Dataset on Code Ocean]

Coming Soon