Search Results for author: Dean A. Pospisil

Found 2 papers, 1 papers with code

Estimating Shape Distances on Neural Representations with Limited Samples

1 code implementation9 Oct 2023 Dean A. Pospisil, Brett W. Larsen, Sarah E. Harvey, Alex H. Williams

Measuring geometric similarity between high-dimensional network representations is a topic of longstanding interest to neuroscience and deep learning.

The Natural Tendency of Feed Forward Neural Networks to Favor Invariant Units

no code implementations NeurIPS Workshop Neuro_AI 2019 Dean A. Pospisil, Wyeth Bair

We discuss consequences of this relationship for AI: deep nets naturally weight invariant units over sensitive units, and this can be strengthened with training, perhaps contributing to generalization performance.

Object Recognition

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