most citedA Parameter-efficient Multi-subject Model for Predicting fMRI Activity

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2023★ 2 cited

A Parameter-efficient Multi-subject Model for Predicting fMRI Activity

Connor Lane, Gregory Kiar

This is the Algonauts 2023 submission report for team "BlobGPT". Our model consists of a multi-subject linear encoding head attached to a pretrained trunk model. The multi-subject…