New preprint from the lab: "Individual differences among deep neural network models."
https://www.biorxiv.org/content/10.1101/2020.01.08.898288v1 …
Work with @KriegeskorteLab, @HannesMehrer, and Courtney Spoerer. #tweeprint below. 1/7
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What are the origins of this? We argue that the categorization objective does not sufficiently constrain the arrangement of category clusters and exemplars. In addition, the interplay of ReLus and properties of certain distance measures contribute to differences. 6/7pic.twitter.com/0OwYKT89tf
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Dropout can help, but considerable differences remain. This calls into question the practice of using single network instances to derive neuroscientific insight. Going forward, multiple DNNs may need to be analysed (similar to experimental participants). /finpic.twitter.com/KJWbuPSGb9
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