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Patrick McClure

2 accepted papers

2022

VICE: Variational Interpretable Concept Embeddings

NeurIPS 2022accept

A central goal in the cognitive sciences is the development of numerical models for mental representations of object concepts. This paper introduces Variational Interpretable Concept Embeddings (VICE), an approximate Bayesian method for embedding object concepts in a vector space using data collecte…

2018

Distributed Weight Consolidation: A Brain Segmentation Case Study

NeurIPS 2018poster

Collecting the large datasets needed to train deep neural networks can be very difficult, particularly for the many applications for which sharing and pooling data is complicated by practical, ethical, or legal concerns. However, it may be the case that derivative datasets or predictive models devel…

Cited by 31SourcePDFScholar