Search Results for author: George Alvarez

Found 3 papers, 1 papers with code

Pruning for Interpretable, Feature-Preserving Circuits in CNNs

no code implementations3 Jun 2022 Chris Hamblin, Talia Konkle, George Alvarez

Deep convolutional neural networks are a powerful model class for a range of computer vision problems, but it is difficult to interpret the image filtering process they implement, given their sheer size.

Network Pruning

Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex

1 code implementation NeurIPS 2021 Colin Conwell, David Mayo, Andrei Barbu, Michael Buice, George Alvarez, Boris Katz

Using our benchmark as an atlas, we offer preliminary answers to overarching questions about levels of analysis (e. g. do models that better predict the representations of individual neurons also predict representational similarity across neural populations?

Object Recognition

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