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Joshua T. Abbott

2 papers hereh-index 12831 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedAdapting Deep Network Features to Capture Psychological Representations

30 citations · 30 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2017

Evaluating (and improving) the correspondence between deep neural networks and human representations

Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths

Decades of psychological research have been aimed at modeling how people learn features and categories. The empirical validation of these theories is often based on artificial stim…

cs.CV2016★ 30 cited

Adapting Deep Network Features to Capture Psychological Representations

Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths

Deep neural networks have become increasingly successful at solving classic perception problems such as object recognition, semantic segmentation, and scene understanding, often re…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.